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<title><![CDATA[Woods Hole Authors Research]]></title>
<description><![CDATA[RefShare feed for Woods Hole Authors Research]]></description>
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<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2803">
<title><![CDATA[Ecosystem responses to recent oceanographic variability in high-latitude Northern Hemisphere ecosystems]]></title>
<dc:creator><![CDATA[Mueter,Franz J.]]></dc:creator>
<dc:creator><![CDATA[ Broms,Cecilie]]></dc:creator>
<dc:creator><![CDATA[ Drinkwater,Kenneth F.]]></dc:creator>
<dc:creator><![CDATA[ Friedland,Kevin D.]]></dc:creator>
<dc:creator><![CDATA[ Hare,Jonathan A.]]></dc:creator>
<dc:creator><![CDATA[ Hunt Jr.,George L.]]></dc:creator>
<dc:creator><![CDATA[ Melle,Webjørn]]></dc:creator>
<dc:creator><![CDATA[ Taylor,Maureen]]></dc:creator>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Progress in Oceanography]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:volume><![CDATA[In Press, Accepted Manuscript]]></prism:volume> 
<refworks:created><![CDATA[5/14/2009 5:27:24 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:55 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/4uhbvjrPP3c/refshare</link>
<refworks:k1><![CDATA[ ecosystem comparisons]]></refworks:k1>
<refworks:k1><![CDATA[ biological communities]]></refworks:k1>
<refworks:k1><![CDATA[ productivity]]></refworks:k1>
<refworks:k1><![CDATA[ climate change]]></refworks:k1>
<refworks:k1><![CDATA[ North Pacific]]></refworks:k1>
<refworks:k1><![CDATA[ North Atlantic]]></refworks:k1>
<refworks:sn><![CDATA[0079-6611]]></refworks:sn>
<refworks:do><![CDATA[DOI: 10.1016/j.pocean.2009.04.018]]></refworks:do>
<refworks:id><![CDATA[2803]]></refworks:id>
<refworks:ul><![CDATA[http://www.sciencedirect.com/science/article/B6V7B-4W6XYG5-1/2/10a7922947d45e614b69fb8b4c0b2e77]]></refworks:ul>
<refworks:jo><![CDATA[Prog.Oceanogr.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><description>&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=4uhbvjrPP3c:N2sCFqcMrWY:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=4uhbvjrPP3c:N2sCFqcMrWY:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=4uhbvjrPP3c:N2sCFqcMrWY:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2803</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2804">
<title><![CDATA[Schistosoma mansoni P-glycoprotein levels increase in response to praziquantel exposure and correlate with reduced praziquantel susceptibility]]></title>
<dc:creator><![CDATA[Messerli,Shanta M.]]></dc:creator>
<dc:creator><![CDATA[ Kasinathan,Ravi S.]]></dc:creator>
<dc:creator><![CDATA[ Morgan,William]]></dc:creator>
<dc:creator><![CDATA[ Spranger,Stefani]]></dc:creator>
<dc:creator><![CDATA[ Greenberg,Robert M.]]></dc:creator>
<description>One potential physiological target for new antischistosomals is the parasite's system for excretion of wastes and xenobiotics. P-glycoprotein (Pgp), a member of the ATP-binding-cassette superfamily of proteins, is an ATP-dependent efflux pump involved in transport of toxins and xenobiotics from cells. In vertebrates, increased expression of Pgp is associated with multidrug resistance in tumor cells. Pgp may also play a role in drug resistance in helminths. In this report, we examine the relationship between praziquantel (PZQ), the current drug of choice against schistosomiasis, and Pgp expression in Schistosoma mansoni. We show that levels of RNA for SMDR2, a Pgp homolog from S. mansoni, increase transiently in adult male worms following exposure to sub-lethal concentrations (100–500 nM) of PZQ. A corresponding, though delayed, increase in anti-Pgp immunoreactive protein expression occurs in adult males following exposure to PZQ. The level of anti-Pgp immunoreactivity in particular regions of adult worms also increases in response to PZQ. Adult worms from an Egyptian S. mansoni isolate with reduced sensitivity to PZQ express increased levels of SMDR2 RNA and anti-Pgp-immunoreactive protein, perhaps indicating a role for multidrug resistance proteins in development or maintenance of PZQ resistance.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=WJXFQoZb814:bkQYjjA3zL4:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=WJXFQoZb814:bkQYjjA3zL4:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=WJXFQoZb814:bkQYjjA3zL4:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Molecular and biochemical parasitology]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:volume><![CDATA[In Press, Uncorrected Proof]]></prism:volume> 
<refworks:created><![CDATA[5/14/2009 5:52:22 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:55 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/WJXFQoZb814/refshare</link>
<refworks:k1><![CDATA[ Schistosoma mansoni]]></refworks:k1>
<refworks:k1><![CDATA[ P-glycoprotein]]></refworks:k1>
<refworks:k1><![CDATA[ Multidrug resistance]]></refworks:k1>
<refworks:k1><![CDATA[ Praziquantel]]></refworks:k1>
<refworks:k1><![CDATA[ ABC transporter]]></refworks:k1>
<refworks:sn><![CDATA[0166-6851]]></refworks:sn>
<refworks:do><![CDATA[DOI: 10.1016/j.molbiopara.2009.04.007]]></refworks:do>
<refworks:id><![CDATA[2804]]></refworks:id>
<refworks:ul><![CDATA[http://www.sciencedirect.com/science/article/B6T29-4W6Y322-1/2/d3be403d4f01b7b01539c937d9b9405e]]></refworks:ul>
<refworks:jo><![CDATA[Mol.Biochem.Parasitol.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2804</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2810">
<title><![CDATA[The developing brain on PCBs]]></title>
<dc:creator><![CDATA[Kreiling,Jill A.]]></dc:creator>
<dc:creator><![CDATA[ Reinisch,Carol]]></dc:creator>
<description>No Abstract.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=lw-w5TaTJoM:nFELkBbQY-0:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=lw-w5TaTJoM:nFELkBbQY-0:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=lw-w5TaTJoM:nFELkBbQY-0:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Molecular reproduction and development]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[4]]></prism:number>
<prism:volume><![CDATA[76]]></prism:volume> 
<prism:startingPage><![CDATA[319]]></prism:startingPage>
<prism:endingPage><![CDATA[319]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:09:58 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:55 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/lw-w5TaTJoM/refshare</link>
<refworks:no><![CDATA[ID: 2541; M3: 10.1002/mrd.21017]]></refworks:no>
<refworks:lk><![CDATA[http://dx.doi.org/10.1002/mrd.21017]]></refworks:lk>
<refworks:id><![CDATA[2810]]></refworks:id>
<refworks:jo><![CDATA[Mol.Reprod.Dev.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2810</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2811">
<title><![CDATA[Modeling rule-based behavior: habitat selection and the growth-survival trade-off in larval cod]]></title>
<dc:creator><![CDATA[Kristiansen,T.]]></dc:creator>
<dc:creator><![CDATA[ Jorgensen,C.]]></dc:creator>
<dc:creator><![CDATA[ Lough,R. G.]]></dc:creator>
<dc:creator><![CDATA[ Vikebo,F.]]></dc:creator>
<dc:creator><![CDATA[ Fiksen,O.]]></dc:creator>
<description>Environmental variation can cause significant fluctuations in the survival of larval fish and plankton. Understanding these fluctuations is critical for developing more accurate fisheries models, which are needed for both scientific and socioeconomic research. Growth, survival, and dispersal of marine planktonic larvae rely strongly on their behavior. Larval fish change their vertical positioning due to strong vertical gradients in light, temperature, predation pressure, and prey availability. Here, we explore how various behavioral rules predict vertical distribution, growth, and survival of larval cod (Gadus morhua) in a numerical model. The rules determine the trade-offs between larval growth, feeding rate, and predation rate, including their dependence on gut fullness and body mass. We evaluated the survival through size classes for different rules and random behavior and compared model predictions with observed larval distribution patterns. The rules predicted the correct average depth position with larval size, but failed to predict the timing of the observed vertical distribution pattern. However, model simulations revealed significant increases in survival for larval and juvenile cod with active behavior compared with larvae with random behavior. Behavior was important across all sizes of fish, and this study illustrates the value or added information of incorporating behavior in biophysical models.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=Wr0GxdMlQFo:1cBzoOrnxjo:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=Wr0GxdMlQFo:1cBzoOrnxjo:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=Wr0GxdMlQFo:1cBzoOrnxjo:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Behav.Ecol.]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[3]]></prism:number>
<prism:volume><![CDATA[20]]></prism:volume> 
<prism:startingPage><![CDATA[490]]></prism:startingPage>
<prism:endingPage><![CDATA[500]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:09:58 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:55 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/Wr0GxdMlQFo/refshare</link>
<refworks:FD><![CDATA[05/01]]></refworks:FD>
<refworks:k1><![CDATA[ behavioral heuristics]]></refworks:k1>
<refworks:k1><![CDATA[ diel vertical migration]]></refworks:k1>
<refworks:k1><![CDATA[ individual-based model]]></refworks:k1>
<refworks:k1><![CDATA[ larval cod]]></refworks:k1>
<refworks:k1><![CDATA[ trade-off]]></refworks:k1>
<refworks:no><![CDATA[ID: 13397; M3: 10.1093/beheco/arp023]]></refworks:no>
<refworks:lk><![CDATA[http://beheco.oxfordjournals.org/cgi/content/abstract/20/3/490]]></refworks:lk>
<refworks:id><![CDATA[2811]]></refworks:id>
<refworks:jo><![CDATA[Behav.Ecol.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2811</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2812">
<title><![CDATA[{delta}37Cl systematics of a backarc spreading system: The Lau Basin]]></title>
<dc:creator><![CDATA[Layne,Graham D.]]></dc:creator>
<dc:creator><![CDATA[ Kent,Adam J. R.]]></dc:creator>
<dc:creator><![CDATA[ Bach,Wolfgang]]></dc:creator>
<description>Determinations of {delta}37Cl in glasses and melt inclusions from backarc basin basalts of the Lau Basin (southern Pacific Ocean) constrain the effects of mantle source, subduction, and shallow assimilation. In sections of the Lau Basin not heavily affected by subduction input (central and eastern Lau spreading centers), Cl derived from unfractionated seawater via assimilation in shallow crustal environments is the predominant source of "excess Cl," and moderates {delta}37Cl to near zero values. In contrast, low-Cl glasses from the Mangatolu triple junction have distinctly negative {delta}37Cl, compatible with recent estimates for {delta}37Cl of the depleted mantle source. Along the Valu Fa Ridge, subduction input manifests as {delta}37Cl that is variable but dispersed toward more negative values in both lavas and melt inclusions. These values are compatible with a second source of lighter Cl within a slab-derived flux derived from altered ocean crust, sediments, and/or serpentinized mantle wedge.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=jSX42pp-hRw:vfAH8ZNY474:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=jSX42pp-hRw:vfAH8ZNY474:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=jSX42pp-hRw:vfAH8ZNY474:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Geology]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[5]]></prism:number>
<prism:volume><![CDATA[37]]></prism:volume> 
<prism:startingPage><![CDATA[427]]></prism:startingPage>
<prism:endingPage><![CDATA[430]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:09:58 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:55 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/jSX42pp-hRw/refshare</link>
<refworks:FD><![CDATA[05/01]]></refworks:FD>
<refworks:no><![CDATA[ID: 11934; M3: 10.1130/G25520A.1]]></refworks:no>
<refworks:lk><![CDATA[http://geology.gsapubs.org/cgi/content/abstract/37/5/427]]></refworks:lk>
<refworks:id><![CDATA[2812]]></refworks:id>
<refworks:jo><![CDATA[Geology]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2812</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2813">
<title><![CDATA[Gas Bubbles in Seals, Dolphins, and Porpoises Entangled and Drowned at Depth in Gillnets]]></title>
<dc:creator><![CDATA[Moore,M. J.]]></dc:creator>
<dc:creator><![CDATA[ Bogomolni,A. L.]]></dc:creator>
<dc:creator><![CDATA[ Dennison,S. E.]]></dc:creator>
<dc:creator><![CDATA[ Early,G.]]></dc:creator>
<dc:creator><![CDATA[ Garner,M. M.]]></dc:creator>
<dc:creator><![CDATA[ Hayward,B. A.]]></dc:creator>
<dc:creator><![CDATA[ Lentell,B. J.]]></dc:creator>
<dc:creator><![CDATA[ Rotstein,D. S.]]></dc:creator>
<description>Gas bubbles were found in 15 of 23 gillnet-drowned bycaught harp (Pagophilus groenlandicus), harbor (Phoca vitulina) and gray (Halichoerus grypus) seals, common (Delphinus delphis) and white-sided (Lagenorhyncus acutus) dolphins, and harbor porpoises (Phocaena phocaena) but in only 1 of 41 stranded marine mammals. Cases with minimal scavenging and bloating were chilled as practical and necropsied within 24 to 72 hours of collection. Bubbles were commonly visible grossly and histologically in bycaught cases. Affected tissues included lung, liver, heart, brain, skeletal muscle, gonad, lymph nodes, blood, intestine, pancreas, spleen, and eye. Computed tomography performed on 4 animals also identified gas bubbles in various tissues. Mean {+/-} SD net lead line depths (m) were 92 {+/-} 44 and ascent rates (ms-1) 0.3 {+/-} 0.2 for affected animals and 76 {+/-} 33 and 0.2 {+/-} 0.1, respectively, for unaffected animals. The relatively good carcass condition of these cases, comparable to 2 stranded cases that showed no gas formation on computed tomography (even after 3 days of refrigeration in one case), along with the histologic absence of bacteria and autolytic changes, indicate that peri- or postmortem phase change of supersaturated blood and tissues is most likely. Studies have suggested that under some circumstances, diving mammals are routinely supersaturated and that these mammals presumably manage gas exchange and decompression anatomically and behaviorally. This study provides a unique illustration of such supersaturated tissues. We suggest that greater attention be paid to the radiology and pathology of bycatch mortality as a possible model to better understand gas bubble disease in marine mammals.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=uD0AN0NrhgQ:ai0Sppb0ECs:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=uD0AN0NrhgQ:ai0Sppb0ECs:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=uD0AN0NrhgQ:ai0Sppb0ECs:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Vet Pathol]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[3]]></prism:number>
<prism:volume><![CDATA[46]]></prism:volume> 
<prism:startingPage><![CDATA[536]]></prism:startingPage>
<prism:endingPage><![CDATA[547]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:09:58 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:55 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/uD0AN0NrhgQ/refshare</link>
<refworks:FD><![CDATA[05/01]]></refworks:FD>
<refworks:k1><![CDATA[ Bubbles]]></refworks:k1>
<refworks:k1><![CDATA[ computed tomography]]></refworks:k1>
<refworks:k1><![CDATA[ dolphins]]></refworks:k1>
<refworks:k1><![CDATA[ histopathology]]></refworks:k1>
<refworks:k1><![CDATA[ necropsy]]></refworks:k1>
<refworks:k1><![CDATA[ porpoises]]></refworks:k1>
<refworks:k1><![CDATA[ seals]]></refworks:k1>
<refworks:no><![CDATA[ID: 9717; M3: 10.1354/vp.08-VP-0065-M-FL]]></refworks:no>
<refworks:lk><![CDATA[http://www.vetpathology.org/cgi/content/abstract/46/3/536]]></refworks:lk>
<refworks:id><![CDATA[2813]]></refworks:id>
<refworks:jo><![CDATA[Vet.Pathol.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2813</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2814">
<title><![CDATA[Using computational fluid dynamics to calculate the stimulus to the lateral line of a fish in still water]]></title>
<dc:creator><![CDATA[Rapo,Mark A.]]></dc:creator>
<dc:creator><![CDATA[ Jiang,Houshuo]]></dc:creator>
<dc:creator><![CDATA[ Grosenbaugh,Mark A.]]></dc:creator>
<dc:creator><![CDATA[ Coombs,Sheryl]]></dc:creator>
<description>This paper presents the first computational fluid dynamics (CFD) simulations of viscous flow due to a small sphere vibrating near a fish, a configuration that is frequently used for experiments on dipole source localization by the lateral line. Both two-dimensional (2-D) and three-dimensional (3-D) meshes were constructed, reproducing a previously published account of a mottled sculpin approaching an artificial prey. Both the fish-body geometry and the sphere vibration were explicitly included in the simulations. For comparison purposes, calculations using potential flow theory (PFT) of a 3-D dipole without a fish body being present were also performed. Comparisons between the 2-D and 3-D CFD simulations showed that the 2-D calculations did not accurately represent the 3-D flow and therefore did not produce realistic results. The 3-D CFD simulations showed that the presence of the fish body perturbed the dipole source pressure field near the fish body, an effect that was obviously absent in the PFT calculations of the dipole alone. In spite of this discrepancy, the pressure-gradient patterns to the lateral line system calculated from 3-D CFD simulations and PFT were similar. Conversely, the velocity field, which acted on the superficial neuromasts (SNs), was altered by the oscillatory boundary layer that formed at the fish's skin due to the flow produced by the vibrating sphere (accounted for in CFD but not PFT). An analytical solution of an oscillatory boundary layer above a flat plate, which was validated with CFD, was used to represent the flow near the fish's skin and to calculate the detection thresholds of the SNs in terms of flow velocity and strain rate. These calculations show that the boundary layer effects can be important, especially when the height of the cupula is less than the oscillatory boundary layer's Stokes viscous length scale.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=lPM6_7Ql_bE:NDbb-il3g7o:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=lPM6_7Ql_bE:NDbb-il3g7o:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=lPM6_7Ql_bE:NDbb-il3g7o:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[J Exp Biol]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[10]]></prism:number>
<prism:volume><![CDATA[212]]></prism:volume> 
<prism:startingPage><![CDATA[1494]]></prism:startingPage>
<prism:endingPage><![CDATA[1505]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:09:58 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:55 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/lPM6_7Ql_bE/refshare</link>
<refworks:FD><![CDATA[05/15]]></refworks:FD>
<refworks:k1><![CDATA[ computational fluid dynamics]]></refworks:k1>
<refworks:k1><![CDATA[ dipole source]]></refworks:k1>
<refworks:k1><![CDATA[ fish]]></refworks:k1>
<refworks:k1><![CDATA[ lateral line system]]></refworks:k1>
<refworks:k1><![CDATA[ oscillatory boundary layer]]></refworks:k1>
<refworks:no><![CDATA[ID: 13969; M3: 10.1242/jeb.026732]]></refworks:no>
<refworks:lk><![CDATA[http://jeb.biologists.org/cgi/content/abstract/212/10/1494]]></refworks:lk>
<refworks:id><![CDATA[2814]]></refworks:id>
<refworks:jo><![CDATA[J.Exp.Biol.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2814</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2815">
<title><![CDATA[Iron solubility driven by speciation in dust sources to the ocean]]></title>
<dc:creator><![CDATA[Schroth,Andrew W.]]></dc:creator>
<dc:creator><![CDATA[ Crusius,John]]></dc:creator>
<dc:creator><![CDATA[ Sholkovitz,Edward R.]]></dc:creator>
<dc:creator><![CDATA[ Bostick,Benjamin C.]]></dc:creator>
<description>Although abundant in the Earth's crust, iron is present at trace concentrations in sea water and is a limiting nutrient for phytoplankton in approximately 40% of the ocean1, 2. Current literature suggests that aerosols are the primary external source of iron to offshore waters, yet controls on iron aerosol solubility remain unclear3, 4. Here we demonstrate that iron speciation (oxidation state and bonding environment) drives iron solubility in arid region soils, glacial weathering products (flour) and oil combustion products (oil fly ash). Iron speciation varies by aerosol source, with soils in arid regions dominated by ferric (oxy)hydroxides, glacial flour by primary and secondary ferrous silicates and oil fly ash by ferric sulphate salts. Variation in iron speciation produces systematic differences in iron solubility: less than 1% of the iron in arid soils was soluble, compared with 2â€“3% in glacial products and 77â€“81% in oil combustion products, which is directly linked to fractions of more soluble phases. We conclude that spatial and temporal variations in aerosol iron speciation, driven by the distribution of deserts, glaciers and fossil-fuel combustion, could have a pronounced effect on aerosol iron solubility and therefore on biological productivity and the carbon cycle in the ocean.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=xCpQ9CB-nHw:3DQBQ_zqyAI:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=xCpQ9CB-nHw:3DQBQ_zqyAI:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=xCpQ9CB-nHw:3DQBQ_zqyAI:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Nature Geosci]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[5]]></prism:number>
<prism:volume><![CDATA[2]]></prism:volume> 
<prism:startingPage><![CDATA[337]]></prism:startingPage>
<prism:endingPage><![CDATA[340]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:09:58 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:55 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/xCpQ9CB-nHw/refshare</link>
<refworks:FD><![CDATA[05]]></refworks:FD>
<refworks:no><![CDATA[ID: 8928; M3: 10.1038/ngeo501]]></refworks:no>
<refworks:sn><![CDATA[1752-0894]]></refworks:sn>
<refworks:lk><![CDATA[http://dx.doi.org/10.1038/ngeo501]]></refworks:lk>
<refworks:id><![CDATA[2815]]></refworks:id>
<refworks:jo><![CDATA[Nature Geosci]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2815</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2816">
<title><![CDATA[Effects of Temperature Acclimation on a Central Neural Circuit and Its Behavioral Output]]></title>
<dc:creator><![CDATA[Szabo,Theresa M.]]></dc:creator>
<dc:creator><![CDATA[ Brookings,Ted]]></dc:creator>
<dc:creator><![CDATA[ Preuss,Thomas]]></dc:creator>
<dc:creator><![CDATA[ Faber,Donald S.]]></dc:creator>
<description>In this study, we address the impact of temperature acclimation on neuronal properties in the Mauthner (M-) system, a brain stem network that initiates the startle-escape behavior in goldfish. The M- cell can be studied at cellular and behavioral levels, since it is uniquely identifiable physiologically within the intact vertebrate brain, and a single action potential in this neuron determines not only whether a startle response will occur but also the direction of the escape. Using animals acclimated to 15 degrees C as a control, 25 degrees C-acclimated fish showed a significant increase in escape probability and a decrease in the ability to discriminate escape directionality. Intracellular recordings demonstrated that M- cells in this population possessed decreased input resistance and reduced strength and duration of inhibitory inputs. In contrast, fish acclimated to 5 degrees C were behaviorally similar to 15 degrees C fish and had increased input resistance, increased strength of inhibitory transmission, and reduced excitatory transmission. We show here that alterations in the balance between excitatory and inhibitory synaptic transmission in the M- cell circuit underlie differences in behavioral responsiveness in acclimated populations. Specifically, during warm acclimation, synaptic inputs are weighted on the side of excitation and fish demonstrate hyperexcitability and reduced left-right discrimination during rapid escapes. In contrast, cold acclimation results in transmission weighted on the side of inhibition and these fish are less excitable and show improved directional discrimination.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=mEb3oeWvRWo:dqsUCXS9GAI:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=mEb3oeWvRWo:dqsUCXS9GAI:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=mEb3oeWvRWo:dqsUCXS9GAI:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[AMER PHYSIOLOGICAL SOC]]></dc:publisher>
<dc:date><![CDATA[2008]]></dc:date>
<prism:publicationName><![CDATA[Journal of neurophysiology]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[6]]></prism:number>
<prism:volume><![CDATA[100]]></prism:volume> 
<prism:startingPage><![CDATA[2997]]></prism:startingPage>
<prism:endingPage><![CDATA[3008]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:10:25 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:55 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/mEb3oeWvRWo/refshare</link>
<refworks:FD><![CDATA[DEC]]></refworks:FD>
<refworks:k1><![CDATA[ GOLDFISH CARASSIUS-AURATUS]]></refworks:k1>
<refworks:k1><![CDATA[ MAUTHNER CELL]]></refworks:k1>
<refworks:k1><![CDATA[ SYNAPTIC TRANSMISSION]]></refworks:k1>
<refworks:k1><![CDATA[ THERMAL-DEPENDENCE]]></refworks:k1>
<refworks:k1><![CDATA[ SEASONAL-CHANGES]]></refworks:k1>
<refworks:k1><![CDATA[ MUSCLE FUNCTION]]></refworks:k1>
<refworks:k1><![CDATA[ NERVOUS-SYSTEM]]></refworks:k1>
<refworks:k1><![CDATA[ ANTARCTIC FISH]]></refworks:k1>
<refworks:k1><![CDATA[ CLUB ENDINGS]]></refworks:k1>
<refworks:k1><![CDATA[ ADAPTATION]]></refworks:k1>
<refworks:k1><![CDATA[ Neurosciences]]></refworks:k1>
<refworks:k1><![CDATA[ Physiology]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 61; TC: 0; J9: J NEUROPHYSIOL; PG: 12; GA: 380EQ]]></refworks:no>
<refworks:pp><![CDATA[BETHESDA; 9650 ROCKVILLE PIKE, BETHESDA, MD 20814 USA]]></refworks:pp>
<refworks:sn><![CDATA[0022-3077]]></refworks:sn>
<refworks:ad><![CDATA[[Szabo, Theresa M.; Brookings, Ted] Brandeis Univ, Volen Ctr MS 013, Dept Biol, Waltham, MA 02454 USA. [Szabo, Theresa M.] Marine Biol Labs, Woods Hole, MA USA. [Szabo, Theresa M.; Preuss, Thomas; Faber, Donald S.] Yeshiva Univ, Albert Einstein Coll Med, Dominick P Purpura Dept Neurosci, Bronx, NY USA.; Szabo, TM, Brandeis Univ, Volen Ctr MS 013, Dept Biol, Waltham, MA 02454 USA.; tszabo@brandeis.edu]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.1152/jn.91033.2008]]></refworks:do>
<refworks:id><![CDATA[2816]]></refworks:id>
<refworks:cr><![CDATA[CR: BEDDOW TA, 1995, J EXP BIOL, V198, P203 BENNETT AF, 1984, AM J PHYSIOL, V247, R217 BORSOOK D, 1978, EXPERIENTIA, V34, P70 BREZDEN BL, 1975, COMP BIOCH PHYSL A, V50, P373 CARPENTER DO, 1981, FED PROC, V40, P2808 COSSINS AR, 1977, BIOCHIM BIOPHYS ACTA, V470, P395 COSSINS AR, 1978, P NATL ACAD SCI USA, V75, P2040 COX SL, 2008, POLAR BIOL, V31, P709, DOI 10.1007/s00300-008-0409-0 DIEROLF BM, 1969, J COMP PHYSIOL A, V62, P284 EATON RC, 1977, J EXP BIOL, V66, P65 EATON RC, 1981, J COMP PHYSIOL, V144, P521 EATON RC, 1988, J NEUROSCI, V8, P2758 ECCLES JC, 1975, J PHYSIOL-LONDON, V249, P119 FABER DS, 1978, NEUROBIOLOGY MAUTHNE, P47 FABER DS, 1982, J NEUROPHYSIOL, V48, P654 FRIEDLANDER MJ, 1976, J COMP PHYSIOL, V112, P19 FURSHPAN EJ, 1962, J NEUROPHYSIOL, V25, P732 FURUKAWA T, 1963, J NEUROPHYSIOL, V26, P140 HATTA K, 1998, J COMP NEUROL, V395, P493 HATTA K, 1999, P NATL ACAD SCI USA, V96, P12090 HAZEL JR, 1974, PHYSIOL REV, V54, P620 HODGKIN AL, 1949, J PHYSIOL, V109, P240 JOHNSON BR, 1991, J EXP BIOL, V156, P267 JOHNSTON I, 1978, J COMP PHYSL, V124, P111 JOHNSTON IA, 1990, AM J PHYSIOL-REG I, V259, P231 KAKELA R, 2008, AM J PHYSIOL-REG I, V294, R1716, DOI 10.1152/ajpregu.00883.2007 KATZ B, 1965, J PHYSIOL-LONDON, V181, P656 KIMMEL CB, 1985, J COMP NEUROL, V233, P365 KUSHMERICK C, 2006, J NEUROSCI, V26, P1366, DOI 10.1523/JNEUROSCI.3889-05.2006 LIN JW, 1988, J NEUROSCI, V8, P1302 MACDONALD JA, 1982, J COMP PHYSIOL, V147, P237 MACDONALD JA, 1986, EXPERIENTIA, V42, P806 MATHESON DF, 1988, EXP NEUROL, V101, P29 MONTGOMERY JC, 1990, AM J PHYSIOL, V259, R191 NAKAJIMA Y, 1978, NEUROBIOLOGY MAUTHNE, P133 NEUMEISTER H, 2000, J EXP BIOL, V203, P547 PEREDA AE, 2004, BRAIN RES REV, V47, P227, DOI 10.1016/j.brainresrev.2004.06.010 PREUSS T, 2003, J NEUROSCI, V23, P5617 PROSSER CL, 1981, ANNU REV PHYSIOL, V43, P281 RIEGE WH, 1972, BEHAVIORAL BIOL, V7, P255 ROME LC, 1990, AM J PHYSIOL, V259, R210 ROOTS BI, 1962, J EXP BIOL, V39, P617 ROSENTHAL JJC, 2000, BIOL BULL, V199, P135 ROSENTHAL JJC, 2002, J EXP BIOL, V205, P1819 ROUSSEL B, 1982, PHYSIOL BEHAV, V28, P991 SHASHOUA VE, 1973, SCIENCE, V181, P572 SIDELL BD, 1973, J COMP PHYSIOL, V84, P119 SINENSKY M, 1974, P NATL ACAD SCI USA, V71, P522 SMITH M, 2003, P NATL ACAD SCI USA, V100, P4849, DOI 10.1073/pnas.0734299100 SOHN YC, 1999, GEN COMP ENDOCR, V113, P436 TEMPLE GK, 1997, J THERM BIOL, V22, P391 TEMPLE GK, 1998, J EXP BIOL, V201, P317 TRILLER A, 1981, J COMP NEUROL, V203, P131 WEBB PW, 1994, CAN J ZOOL, V72, P423 WEIGHT FF, 1976, NATURE, V261, P720 YOCOM TG, 1974, J FISH RES BOARD CAN, V31, P1503 ZERBOLIO DJ, 1973, BEHAV BIOL, V8, P755 ZHUROV Y, 2005, J NEUROPHYSIOL, V94, P3259, DOI 10.1152/jn.00481.2005 ZOTTOLI SJ, 1977, J EXP BIOL, V66, P243 ZOTTOLI SJ, 1980, NEUROSCIENCE, V5, P1287 ZOTTOLI SJ, 2000, NEUROSCIENTIST, V6, P26]]></refworks:cr>
<refworks:jo><![CDATA[J.Neurophysiol.]]></refworks:jo>
<refworks:an><![CDATA[000261449400003]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2816</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2817">
<title><![CDATA[An unstructured-grid finite-volume surface wave model (FVCOM-SWAVE): Implementation, validations and applications]]></title>
<dc:creator><![CDATA[Qi,Jianhua]]></dc:creator>
<dc:creator><![CDATA[ Chen,Changsheng]]></dc:creator>
<dc:creator><![CDATA[ Beardsley,Robert C.]]></dc:creator>
<dc:creator><![CDATA[ Perrie,Will]]></dc:creator>
<dc:creator><![CDATA[ Cowles,Geoffrey W.]]></dc:creator>
<dc:creator><![CDATA[ Lai,Zhigang]]></dc:creator>
<description>The structured-grid surface wave model SWAN (Simulating Waves Nearshore) has been converted into an unstructured-grid finite-volume version (hereafter referred to as FVCOM-SWAVE) for use in coastal ocean regions with complex irregular geometry. The implementation is made using the Flux-Corrected Transport (FCT) algorithm in frequency space, the implicit Crank-Nicolson method in directional space and options of explicit or implicit second-order upwind finite-volume schemes in geographic space. FVCCM-SWAVE is validated using four idealized benchmark test problems with emphasis on numerical dispersion, wave-current interactions, wave propagation over a varying-bathymetry shallow water region, and the basic wave grow curves. Results demonstrate that in the rectangular geometric domain, the second-order finite-volume method used in FVCCM-SWAVE has the same accuracy as the third-order finite-difference method used in SWAN. FVCOM-SWAVE was then applied to simulate wind-induced surface waves on the US northeast shelf with a central focus in the Gulf of Maine and New England Shelf. Through improved geometric fitting of the complex irregular coastline, FVCOM-SWAVE was able to robustly capture the spatial and temporal variation of surface waves in both deep and shallow regions along the US northeast coast. Published by Elsevier Ltd.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=05Y4kOg4ZHg:ZO7RvLDnmC0:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=05Y4kOg4ZHg:ZO7RvLDnmC0:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=05Y4kOg4ZHg:ZO7RvLDnmC0:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[ELSEVIER SCI LTD]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Ocean Modelling]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[1-3]]></prism:number>
<prism:volume><![CDATA[28]]></prism:volume> 
<prism:startingPage><![CDATA[153]]></prism:startingPage>
<prism:endingPage><![CDATA[166]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:10:41 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:55 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/05Y4kOg4ZHg/refshare</link>
<refworks:k1><![CDATA[ Unstructured grid]]></refworks:k1>
<refworks:k1><![CDATA[ Finite-volume]]></refworks:k1>
<refworks:k1><![CDATA[ Wave model]]></refworks:k1>
<refworks:k1><![CDATA[ FVCOM-SWAVE]]></refworks:k1>
<refworks:k1><![CDATA[ COASTAL OCEAN]]></refworks:k1>
<refworks:k1><![CDATA[ SHALLOW-WATER]]></refworks:k1>
<refworks:k1><![CDATA[ SEA SPRAY]]></refworks:k1>
<refworks:k1><![CDATA[ WIND]]></refworks:k1>
<refworks:k1><![CDATA[ PREDICTION]]></refworks:k1>
<refworks:k1><![CDATA[ SPECTRUM]]></refworks:k1>
<refworks:k1><![CDATA[ Meteorology & Atmospheric Sciences]]></refworks:k1>
<refworks:k1><![CDATA[ Oceanography]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 33; TC: 0; J9: OCEAN MODEL; SI: Sp. Iss. SI; PG: 14; GA: 436GN]]></refworks:no>
<refworks:pp><![CDATA[OXFORD; THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND]]></refworks:pp>
<refworks:sn><![CDATA[1463-5003]]></refworks:sn>
<refworks:ad><![CDATA[[Qi, Jianhua; Chen, Changsheng; Cowles, Geoffrey W.; Lai, Zhigang] Univ Massachusetts Dartmouth, Dept Fisheries Oceanog, Sch Marine Sci & Technol, New Bedford, MA 02744 USA. [Beardsley, Robert C.] Woods Hole Oceanog Inst, Dept Phys Oceanog, Woods Hole, MA 02543 USA. [Perrie, Will] Fisheries & Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS B2Y 4A2, Canada. [Chen, Changsheng] Shanghai Ocean Univ, Marine Ecosyst & Environm Lab, Shanghai 200090, Peoples R China. [Chen, Changsheng] E China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai 200062, Peoples R China.; Chen, CS, Univ Massachusetts Dartmouth, Dept Fisheries Oceanog, Sch Marine Sci & Technol, 706 S Rodney French Blvd, New Bedford, MA 02744 USA.; c1chen@umassd.edu]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.1016/j.ocemod.2009.01.007]]></refworks:do>
<refworks:id><![CDATA[2817]]></refworks:id>
<refworks:cr><![CDATA[CR: *HYPRE TEAM, 2001, HYPRE HIGH PERF PREC *SWAMP GROUP, 1985, OC WAV MOD *SWAN TEAM, 2006, SWAN CYCL 3 VERS 40 BALABAS MV, 2007, NAT PHYS, V3, P2, DOI 10.1038/nphys496 BATTJES JA, 1978, P 16 INT C COAST ENG, P569 BOOIJ N, 1999, J GEOPHYS RES-OCEANS, V104, P7649 BORIS JP, 1973, J COMPUT PHYS, V11, P38 CASULLI V, 2004, 157 FED WAT ENG RES, P78 CAVALERI L, 1981, J GEOPHYS RES, V86, P10961 CHEN C, 2006, OCEANOGRAPHY, V19, P78 CHEN C, 2006, UNSTRUCTURED GRID FI CHEN CS, 2003, J ATMOS OCEAN TECH, V20, P159 CHEN CS, 2007, J GEOPHYS RES-OCEANS, V112, ARTN C03018 COLLINS JI, 1972, J GEOPHYS RES, V77, P2693 COWLES GW, 2008, INT J HIGH PERFORM C, V22, P177, DOI 10.1177/1094342007083804 CRANK J, 1947, P CAMBRIDGE PHILOS S, V43, P50 ELDEBERKY Y, 1996, THESIS DELFT U TECHN FRINGER OB, 2006, OCEAN MODEL, V14, P139, DOI 10.1016/j.ocemod.2006.03.006 HASSELMANN K, 1974, BOUND-LAY METEOROL, V6, P107 HASSELMANN K, 1988, J PHYS OCEANOGR, V18, P1775 HASSELMANN S, 1985, J PHYS OCEANOGR, V15, P1378 HSU TW, 2005, COAST ENG, V52, P177, DOI 10.1016/j.coastaleng.2004.11.005 KOMEN GJ, 1984, J PHYS OCEANOGR, V14, P1271 LAI Z, 2008, J GEOPHYS RES UNPUB MADSEN OS, 1988, P 21 INT C COAST ENG, P492 PERRIE W, 2008, J PHYS OCEANOG UNPUB PIERSON WJ, 1964, J GEOPHYS RES, V69, P5181 RESIO DT, 2008, J PHYS OCEANOGR, V38, P2801, DOI 10.1175/2008JPO3713.1 ROGERS WE, 2002, OCEAN ENG, V29, P1357, PII S0029-8018(01)00080-4 TOLMAN HL, 2002, USER MANUAL SYSTEM D WU J, 1982, J GEOPHYS RES, V87, P9704 ZHANG WQ, 2006, MON WEATHER REV, V134, P2418 ZHANG WQ, 2008, J PHYS OCEANOGR, V38, P817, DOI 10.1175/2007JPO3724.1]]></refworks:cr>
<refworks:jo><![CDATA[Ocean Model.]]></refworks:jo>
<refworks:an><![CDATA[000265400800016]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2817</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2820">
<title><![CDATA[Fraction images derived from Terra Modis data for mapping burnt areas in Brazilian Amazonia]]></title>
<dc:creator><![CDATA[Shimabukuro,Y. E.]]></dc:creator>
<dc:creator><![CDATA[ Duarte,V.]]></dc:creator>
<dc:creator><![CDATA[ Arai,E.]]></dc:creator>
<dc:creator><![CDATA[ Freitas,R. M.]]></dc:creator>
<dc:creator><![CDATA[ Lima,A.]]></dc:creator>
<dc:creator><![CDATA[ Valeriano,D. M.]]></dc:creator>
<dc:creator><![CDATA[ Brown,I. F.]]></dc:creator>
<dc:creator><![CDATA[ Maldonado,M. L. R.]]></dc:creator>
<description>The objective of this paper is to present a method for mapping burnt areas in Brazilian Amazonia using Terra MODIS data. The proposed approach is based on image segmentation of the shade fraction images derived from MODIS, using a non-supervised classification algorithm followed by an image editing procedure for minimizing misclassifications. Acre State, the focus of this study, is located in the western region of Brazilian Amazonia and undergoing tropical deforestation. The extended dry season in 2005 affected this region creating conditions for extensive forest fires in addition to fires associated with deforestation and land management. The high temporal resolution of MODIS provides information for studying the resulting burnt areas. Landsat 5 TM images and field observations were also used as ground data for supporting and validating the MODIS results. Multitemporal analysis with MODIS showed that about 6500km2 of land surface were burnt in Acre State. Of this, 3700km2 corresponded to the previously deforested areas and 2800km2 corresponded to areas of standing forests. This type of information and its timely availability are critical for regional and global environmental studies. The results showed that daily MODIS sensor data are useful sources of information for mapping burnt areas, and the proposed method can be used in an operational project in Brazilian Amazonia.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=WOYKFanCYlw:IMiKAHmAOE4:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=WOYKFanCYlw:IMiKAHmAOE4:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=WOYKFanCYlw:IMiKAHmAOE4:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[TAYLOR & FRANCIS LTD]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[International Journal of Remote Sensing]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[6]]></prism:number>
<prism:volume><![CDATA[30]]></prism:volume> 
<prism:startingPage><![CDATA[1537]]></prism:startingPage>
<prism:endingPage><![CDATA[1546]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:10:41 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:55 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/WOYKFanCYlw/refshare</link>
<refworks:k1><![CDATA[ MIXING MODELS]]></refworks:k1>
<refworks:k1><![CDATA[ STATE]]></refworks:k1>
<refworks:k1><![CDATA[ Remote Sensing]]></refworks:k1>
<refworks:k1><![CDATA[ Imaging Science & Photographic Technology]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 20; TC: 0; J9: INT J REMOTE SENS; PG: 10; GA: 436LM]]></refworks:no>
<refworks:pp><![CDATA[ABINGDON; 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND]]></refworks:pp>
<refworks:sn><![CDATA[0143-1161]]></refworks:sn>
<refworks:ad><![CDATA[[Shimabukuro, Y. E.; Duarte, V.; Arai, E.; Freitas, R. M.; Lima, A.; Valeriano, D. M.] Inst Nacl Pesquisas Espaciais, BR-12227010 Sao Jose Dos Campos, SP, Brazil. [Brown, I. F.; Maldonado, M. L. R.] Woods Hole Res Ctr, BR-69915900 Rio Branco, Acre, Brazil. [Brown, I. F.; Maldonado, M. L. R.] Univ Fed Acre UFAC, BR-69915900 Rio Branco, Acre, Brazil.; Shimabukuro, YE, Inst Nacl Pesquisas Espaciais, Av Astronautas 1758, BR-12227010 Sao Jose Dos Campos, SP, Brazil.; yosio@ltid.inpe.br]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.1080/01431160802509058]]></refworks:do>
<refworks:id><![CDATA[2820]]></refworks:id>
<refworks:cr><![CDATA[CR: *IBGE, 1992, MAN TECN VEG BRAS SE, V1 *NASA, 2006, GLOB PREC CLIM PROJ AGUIAR APD, 1999, INT J REMOTE SENS, V20, P647 ALMEIDA R, 2002, REMOTE SENS ENVIRON, V79, P42 BINS LS, 1993, SIBGRAPHI, V6, P65 BROWN IF, 2006, EOS T AGU, V87, P253 BROWN IF, 2006, REPORT MAPPING AREAS BRUSTET JM, 1992, GLOBAL BIOMASS BURNI, P53 CAHOON DR, 1992, NATURE, V359, P812 CARREIRAS JMB, 2002, INT J REMOTE SENS, V23, P4979, DOI 10.1080/0143116021000016743 DEFRIES RS, 2000, INT J REMOTE SENS, V21, P1389 JUSTICE CO, 2001, GLOBAL REGIONAL VEGE, P1 JUSTICE CO, 2002, REMOTE SENS ENVIRON, V83, P3 LEVINE JS, 1996, BIOMASS BURNING GLOB, V1, P107 PRINS EM, 1994, J GEOPHYS RES-ATMOS, V99, P16719 SALAZAR LF, 2007, GEOPHYS RES LETT, V34, ARTN L09708 SETZER AW, 1991, AMBIO, V20, P19 SHIMABUKURO YE, 1991, IEEE T GEOSCI REMOTE, V29, P16 SHIMABUKURO YE, 1998, INT J REMOTE SENS, V19, P535 SHIMABUKURO YE, 2006, REV AMBI AGUA, V1, P37]]></refworks:cr>
<refworks:jo><![CDATA[Int.J.Remote Sens.]]></refworks:jo>
<refworks:an><![CDATA[000265415600010]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2820</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2824">
<title><![CDATA[Stable isotopes of planktonic foraminifera from tropical Atlantic/Caribbean core-tops: Implications for reconstructing upper ocean stratification]]></title>
<dc:creator><![CDATA[Steph,Silke]]></dc:creator>
<dc:creator><![CDATA[ Regenberg,Marcus]]></dc:creator>
<dc:creator><![CDATA[ Tiedemann,Ralf]]></dc:creator>
<dc:creator><![CDATA[ Mulitza,Stefan]]></dc:creator>
<dc:creator><![CDATA[ Nuernberg,Dirk]]></dc:creator>
<description>delta O-18 values of nine tropical-subtropical planktonic foraminiferal species with different preferential habitat depths collected from 62 core-top samples along an east-west transect across the tropical Atlantic/Caribbean were used to test the applicability of interspecific delta O-18 gradients for reconstructions of tropical upper ocean stratification. In general, the delta O-18 difference (Delta delta O-18) between intermediate- and shallow-dwelling species decreases, and Delta delta O-18 between deep and intermediate dwellers increases with increasing thermocline depth towards the west. The statistical significance of regional differences in Delta delta O-18 highlights Delta delta O-18 between the intermediate dwellers (in particular Globorotalia scitula and Globorotalia tumida) and the shallow dweller Globigerinoides ruber pink, as well as Delta delta O-18 between the deep dwellers Globorotalia crassaformis or Globorotalia truncatulinoides dextral and intermediate dwellers as most sensitive to changes in tropical Atlantic thermocline depth. Based on the observed regional variations in interspecific Delta delta O-18, we propose a multispecies stratification index "STRA(trop)" (delta O-18(intermediate) - delta O-18(shallow)) / (delta O-18(deep) - delta O-18(shallow)) for the tropical ocean. Statistically significant differences in STRA(trop) values between the E-Atlantic and the Caribbean suggest that this index may be a useful tool to monitor variations in tropical upper ocean stratification in the geological record. (C) 2009 Elsevier B.V. All rights reserved.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=AxZjDut_PAI:cDRXo6Nub0M:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=AxZjDut_PAI:cDRXo6Nub0M:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=AxZjDut_PAI:cDRXo6Nub0M:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[ELSEVIER SCIENCE BV]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Marine Micropaleontology]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[1-2]]></prism:number>
<prism:volume><![CDATA[71]]></prism:volume> 
<prism:startingPage><![CDATA[1]]></prism:startingPage>
<prism:endingPage><![CDATA[19]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:10:41 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:55 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/AxZjDut_PAI/refshare</link>
<refworks:FD><![CDATA[APR]]></refworks:FD>
<refworks:k1><![CDATA[ stable isotopes]]></refworks:k1>
<refworks:k1><![CDATA[ planktonic foraminifera]]></refworks:k1>
<refworks:k1><![CDATA[ thermocline depth]]></refworks:k1>
<refworks:k1><![CDATA[ tropical Atlantic/Caribbean core top samples]]></refworks:k1>
<refworks:k1><![CDATA[ WESTERN EQUATORIAL ATLANTIC]]></refworks:k1>
<refworks:k1><![CDATA[ PANAMA BASIN]]></refworks:k1>
<refworks:k1><![CDATA[ VERTICAL-DISTRIBUTION]]></refworks:k1>
<refworks:k1><![CDATA[ INDIAN-OCEAN]]></refworks:k1>
<refworks:k1><![CDATA[ CARBONATE CHEMISTRY]]></refworks:k1>
<refworks:k1><![CDATA[ SURFACE CIRCULATION]]></refworks:k1>
<refworks:k1><![CDATA[ SEASONAL-CHANGES]]></refworks:k1>
<refworks:k1><![CDATA[ SEDIMENT TRAPS]]></refworks:k1>
<refworks:k1><![CDATA[ OXYGEN]]></refworks:k1>
<refworks:k1><![CDATA[ MODEL]]></refworks:k1>
<refworks:k1><![CDATA[ Paleontology]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 106; TC: 1; J9: MAR MICROPALEONTOL; PG: 19; GA: 433RV]]></refworks:no>
<refworks:pp><![CDATA[AMSTERDAM; PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS]]></refworks:pp>
<refworks:sn><![CDATA[0377-8398]]></refworks:sn>
<refworks:ad><![CDATA[[Steph, Silke; Tiedemann, Ralf] Alfred Wegener Inst Polar & Marine Res, D-27515 Bremerhaven, Germany. [Regenberg, Marcus] Univ Kiel, Inst Geosci, D-24118 Kiel, Germany. [Mulitza, Stefan] Univ Bremen, Ctr Marine Environm Sci MARUM, D-28359 Bremen, Germany. [Mulitza, Stefan] Univ Bremen, Dept Geosci, D-28359 Bremen, Germany. [Nuernberg, Dirk] Leibniz Inst Marine Sci, IFM GEOMAR, D-24148 Kiel, Germany.; Steph, S, Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA.; silke.steph@awi.de]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Review]]></refworks:sf>
<refworks:do><![CDATA[10.1016/j.marmicro.2008.12.004]]></refworks:do>
<refworks:id><![CDATA[2824]]></refworks:id>
<refworks:cr><![CDATA[CR: 1908, BIOMETRIKA, V6, P302 ANAND P, 2003, PALEOCEANOGRAPHY, V18, ARTN 1050 BE AWH, 1971, MICROPALEONTOLOGY OC, P105 BE AWH, 1985, MAR MICROPALEONTOL, V9, P307 BEMIS BE, 1998, PALEOCEANOGRAPHY, V13, P150 BERGER WH, 1981, PALAEOGEOGR PALAEOCL, V33, P3 BIJMA J, 1999, USE PROXIES PALEOCEA, P489 BLEIL U, 1998, 38 U HAMB I MEER BROECKER WS, 1989, PALEOCEANOGRAPHY, V4, P207 CLEROUX C, 2007, GEOCHEM GEOPHY GEOSY, V8, DOI 10.1029/2006GC001474 CLEVELAND WS, 1979, J AM STAT ASSOC, V74, P829 CONKRIGHT ME, 2002, 17 NODC CURRY WB, 1981, MAR MICROPALEONTOL, V6, P327 CURRY WB, 1981, PALAEOGEOGR PALAEOCL, V33, P173 CURRY WB, 1983, EARTH PLANET SC LETT, V64, P33 DEGROOT MH, 2002, PROBABILITY STAT DEUSER WG, 1989, J FORAMIN RES, V19, P268 DUPLESSY JC, 1981, SCIENCE, V213, P1247 EMILIANI C, 1954, AM J SCI, V252, P149 EMILIANI C, 1955, J GEOL, V63, P538 EPSTEIN S, 1953, GEOLOGICAL SOC AM B, V64, P1315 EREZ J, 1981, PALAEOGEOGR PALAEOCL, V33, P129 FAIRBANKS RG, 1980, SCIENCE, V207, P61 FAIRBANKS RG, 1980, SCIENCE, V209, P1524 FAIRBANKS RG, 1982, NATURE, V298, P841 FARMER EC, 2007, PALEOCEANOGRAPHY, V22, ARTN PA3205 FAUL KL, 2000, J FORAMIN RES, V30, P110 FIELD DB, 2004, PALEOCEANOGRAPHY, V19, ARTN PA2014 GANSSEN G, 1983, COASTAL UPWELLING IT, P99 GANSSEN GM, 2000, J GEOL SOC LONDON 3, V157, P693 HEMLEBEN C, 1983, UTRECHT MICROPALEONT, V30, P141 HEMLEBEN C, 1989, MODERN PLANKTONIC FO HEMLEBEN C, 1998, 35 U HAMB I MEER HILBRECHT H, 1996, NEUE FOLGE U ZURICH, V300 HUT G, 1987, CONSULTANTS GROUP ME ITOU M, 2001, MAR MICROPALEONTOL, V42, P189 KEIGWIN L, 2005, PALEOCEANOGRAPHY, V20 KEMLEVONMUCKE S, 1999, USE PROXIES PALEOCEA, P91 KENNETT JP, 1983, NEOGENE PLANKTONIC F KIM ST, 1997, GEOCHIM COSMOCHIM AC, V61, P3461 KOHFELD KE, 1996, PALEOCEANOGRAPHY, V11, UNSP 96PA02617 LEGRANDE AN, 2004, PALEOCEANOGRAPHY, V19, ARTN PA4025 LEWIS E, 1998, ORNLCDIAC105 US DEP LOHMANN GP, 1995, PALEOCEANOGRAPHY, V10, P445 LONCARIC N, 2006, PALEOCEANOGRAPHY, V21, ARTN PA3009 LUMPKIN R, 2005, DEEP-SEA RES PT I, V52, P495, DOI 10.1016/j.dsr.2004.09.001 MATSUMOTO K, 2003, J GEOPHYS RES, V108, DOI 10.1029/2001JC000861 MCKENNA VS, 2004, PALEOCEANOGRAPHY, V19, ARTN PA2006 MORTYN PG, 2003, PALEOCEANOGRAPHY, V18, ARTN 1037 MULITZA S, 1994, FACHBEREICH GEOWISSE, V57 MULITZA S, 1997, GEOLOGY, V25, P335 MULITZA S, 1998, EARTH PLANET SC LETT, V155, P237 MULITZA S, 2003, PALAEOGEOGR PALAEOCL, V202, P143, DOI 10.1016/S0031-0182(03)00633-3 MULITZA S, 2004, S ATLANTIC LATE QUAT, P121 MULLER TJ, 1988, 9 U HAMB I MEER NIEBLER HS, 1999, USE PROXIES PALEOCEA, P165 NURNBERG D, 2003, SO164 RASTA 2002, V109 OBERHANSLI H, 1992, PALEOCEANOGRAPHY, V7, P607 ORTIZ JD, 1995, PALEOCEANOGRAPHY, V10, UNSP 95PA02088 ORTIZ JD, 1996, GEOCHIM COSMOCHIM AC, V60, P4509 ORTIZ JD, 1997, PALEOCEANOGRAPHY, V12, UNSP 96PA02878 OTTENS JJ, 1992, PLANKTONIC FORAMINIF, P109 PARKER FL, 1962, MICROPALEONTOLOGY, V8, P219 PATRICK A, 1997, PALEOCEANOGRAPHY, V12, DOI 10.1029/97PA01553 PHILANDER SGH, 1984, GEOPHYS R L, V11, P802 PHILANDER SGH, 1986, J GEOPHYS RES-OCEANS, V91, P14192 PHILANDER SGH, 1986, J GEOPHYS RES-OCEANS, V91, P14212 RAVELO AC, 1992, PALEOCEANOGRAPHY, V7, P815 RAVELO AC, 1995, J FORAMIN RES, V25, P53 RAVELO AC, 1995, P OCEAN DRILL PROGRA, V138, P503 RAVELO AC, 1999, REC OC HIST, P217 REGENBERG M, 2006, GEOCHEM GEOPHY GEOSY, V7, DOI 10.1029/2005GC001019 REGENBERG M, 2009, EARTH PLANET SC LETT, V278, P324, DOI 10.1016/j.epsl.2008.12.019 ROHLING EJ, 2004, MAR MICROPALEONTOL, V50, P89, DOI 10.1016/S0377-8398(03)00068-9 RUHLEMANN C, 2001, PALEOCEANOGRAPHY, V16, P293 SAUTTER LR, 1991, J FORAMIN RES, V21, P347 SCHIEBEL R, 2001, DEEP-SEA RES PT I, V48, P721 SCHIEBEL R, 2005, PALAEONTOL Z, V79, P135 SCHLITZER R, 2005, OCEAN DATA VIEW SCHMIDT GA, 1999, GLOBAL SEAWATER O DA SCHMIDT GA, 2002, MAR MICROPALEONTOL, V44, P125 SCHMUKER B, 2002, MAR MICROPALEONTOL, V46, P387 SCHOLLMEYER L, 2002, SIMIOLUS, V29, P5 SCHULZ HD, 1998, 41 U HAMB I MEER SCHWEITZER PN, 1991, J FORAMIN RES, V21, P332 SHACKLETON NJ, 1974, METH QUANT ETUD VAR, V219, P203 SHACKLETON NJ, 1978, MAR MICROPALEONTOL, V3, P1 SPERO HJ, 1987, SYMBIOSIS, V4, P213 SPERO HJ, 1993, MAR MICROPALEONTOL, V22, P221 SPERO HJ, 1997, NATURE, V390, P497 SPERO HJ, 2003, PALEOCEANOGRAPHY, V18, ARTN 1022 STEPH S, 2006, P OCEAN DRILL PROGRA, V202, P1, DOI 10.2973/ODC.PROC.SR.202.211.2006 STEPH S, 2006, PALEOCEANOGRAPHY, V21, ARTN PA4221 STRAMMA L, 2003, ELSEV OCEANOGR SERIE, V68, P1 TEDESCO K, 2007, MAR MICROPALEONTOL, V62, P180, DOI 10.1016/j.marmicro.2006.08.002 THUNELL R, 1992, GEOL SOC SPEC PUBL L, V64, P77 THUNELL R, 1999, GEOLOGY, V27, P843 THUNELL RC, 1983, EARTH PLANET SC LETT, V64, P44 THUNELL RC, 1984, MICROPALEONTOLOGY, V30, P243 WATKINS JM, 1998, PALEOCEANOGRAPHY, V13, UNSP 97PA02904 WEFER G, 1988, 6 U HAMB I MEER WEFER G, 1991, 20 U HAMB I MEER WEFER G, 1991, 6 U HAMB I MEER WHITMAN JM, 1993, P ODP SCI RESULTS, V130, P333 WILLIAMS DF, 1980, NATURE, V283, P848 WOLFGLADROW DA, 1999, MAR CHEM, V64, P181]]></refworks:cr>
<refworks:jo><![CDATA[Mar.Micropaleontol.]]></refworks:jo>
<refworks:an><![CDATA[000265224400001]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2824</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2827">
<title><![CDATA[Rapid shifts in dominant taxa among microbial eukaryotes in estuarine ecosystems]]></title>
<dc:creator><![CDATA[Vigil,Patrick]]></dc:creator>
<dc:creator><![CDATA[ Countway,Peter D.]]></dc:creator>
<dc:creator><![CDATA[ Rose,Julie]]></dc:creator>
<dc:creator><![CDATA[ Lonsdale,Darcy J.]]></dc:creator>
<dc:creator><![CDATA[ Gobler,Christopher J.]]></dc:creator>
<dc:creator><![CDATA[ Caron,David A.]]></dc:creator>
<description>Studies in several estuarine ecosystems along the mid-Atlantic coast of the USA were carried out to examine short-term (every 1 to 3 wk) to long-term (seasonal-annual) shifts in the phylotypic composition of the planktonic microbial eukaryotic assemblage using terminal restriction fragment length polymorphism (T-RFLP) analyses. Fragment patterns revealed relatively rapid and striking shifts in the dominant phylotypes observed. Although the presence of some phylotypes was persistent or repetitive, dramatic changes in the overall composition of the microbial eukaryotic assemblage were observed for samples collected from a single environment at 1 to 2 wk intervals, samples collected on the same day from neighboring locales, and samples collected from different seasons. Bray-Curtis similarity values rarely indicated &gt;= 70% similarity for any 2 sample pairs. Nonmetric multi-dimensional scaling and detrended correspondence analysis revealed a weak degree of relatedness among samples by location and season. Putative identifications of taxa comprising fragments of specific lengths were determined for 63 of the observed 162 fragment sizes from in silico restriction digests of partial 18S gene sequences obtained from the samples. This approach identified a wide phylogenetic diversity of protistan taxa, despite the presence of significant 'brown tides' caused by the pelagophyte Aureococcus anophagefferens at some sampling times and locations, The regularity and rapidity with which the protistan assemblage restructured itself to yield unique combinations of dominant taxa indicates the existence of a highly dynamic and resilient microbial community that responded swiftly to changing environmental conditions in these estuaries.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=7nRLxGgIrHY:KFFVN9fhRNg:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=7nRLxGgIrHY:KFFVN9fhRNg:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=7nRLxGgIrHY:KFFVN9fhRNg:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[INTER-RESEARCH]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Aquatic Microbial Ecology]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[1]]></prism:number>
<prism:volume><![CDATA[54]]></prism:volume> 
<prism:startingPage><![CDATA[83]]></prism:startingPage>
<prism:endingPage><![CDATA[100]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:10:41 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:55 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/7nRLxGgIrHY/refshare</link>
<refworks:k1><![CDATA[ Community dynamics]]></refworks:k1>
<refworks:k1><![CDATA[ Aureococcus anophagefferens]]></refworks:k1>
<refworks:k1><![CDATA[ Estuary]]></refworks:k1>
<refworks:k1><![CDATA[ T-RFLP]]></refworks:k1>
<refworks:k1><![CDATA[ GRADIENT GEL-ELECTROPHORESIS]]></refworks:k1>
<refworks:k1><![CDATA[ BROWN TIDE BLOOMS]]></refworks:k1>
<refworks:k1><![CDATA[ FRAGMENT-LENGTH-POLYMORPHISM]]></refworks:k1>
<refworks:k1><![CDATA[ DETRENDED CORRESPONDENCE-ANALYSIS]]></refworks:k1>
<refworks:k1><![CDATA[ WESTERN NORTH-ATLANTIC]]></refworks:k1>
<refworks:k1><![CDATA[ AUREOCOCCUS-ANOPHAGEFFERENS]]></refworks:k1>
<refworks:k1><![CDATA[ LONG-ISLAND]]></refworks:k1>
<refworks:k1><![CDATA[ 18S]]></refworks:k1>
<refworks:k1><![CDATA[ RDNA]]></refworks:k1>
<refworks:k1><![CDATA[ PROTISTAN ASSEMBLAGES]]></refworks:k1>
<refworks:k1><![CDATA[ MERCENARIA-MERCENARIA]]></refworks:k1>
<refworks:k1><![CDATA[ Ecology]]></refworks:k1>
<refworks:k1><![CDATA[ Marine & Freshwater Biology]]></refworks:k1>
<refworks:k1><![CDATA[ Microbiology]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 46; TC: 0; J9: AQUAT MICROB ECOL; PG: 18; GA: 432HI]]></refworks:no>
<refworks:pp><![CDATA[OLDENDORF LUHE; NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY]]></refworks:pp>
<refworks:sn><![CDATA[0948-3055]]></refworks:sn>
<refworks:ad><![CDATA[[Vigil, Patrick] Univ Michigan, Sch Med, Dept Immunol & Microbiol, Ann Arbor, MI 48109 USA. [Countway, Peter D.; Caron, David A.] Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA. [Rose, Julie] Woods Hole Oceanog Inst, Dept Biol, Woods Hole, MA 02543 USA. [Lonsdale, Darcy J.; Gobler, Christopher J.] SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11794 USA.; Vigil, P, Univ Michigan, Sch Med, Dept Immunol & Microbiol, 1150 W Med Ctr Dr,5641 Med Sci 2, Ann Arbor, MI 48109 USA.; vigil.patrick@gmail.com]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.3354/ame01252]]></refworks:do>
<refworks:id><![CDATA[2827]]></refworks:id>
<refworks:cr><![CDATA[CR: ALTSCHUL SF, 1997, NUCLEIC ACIDS RES, V25, P3402 BALDWIN AJ, 2005, AQUAT MICROB ECOL, V41, P91 BERNEY C, 2004, BMC BIOL, V2, ARTN 13 BRICELJ VM, 1997, LIMNOL OCEANOGR 2, V42, P1023 BROWER JE, 1998, FIELD LAB METHODS GE BUSKEY EJ, 1995, MAR ECOL-PROG SER, V126, P285 CARON DA, 2004, J EUKARYOT MICROBIOL, V51, P38 CARON DA, 2007, MANUAL ENV MICROBIOL, P454 CASAMAYOR EO, 2002, ENVIRON MICROBIOL, V4, P338 CERRATO RM, 2004, MAR ECOL-PROG SER, V281, P93 COUNTWAY PD, 2005, J EUKARYOT MICROBIOL, V52, P95 COUNTWAY PD, 2007, ENVIRON MICROBIOL, V9, P1219, DOI 10.1111/j.1462-2920.2007.01243.x DEONARINE SN, 2006, AQUAT MICROB ECOL, V44, P181 DIEZ B, 2001, APPL ENVIRON MICROB, V67, P2942 DIEZ B, 2004, LIMNOL OCEANOGR, V49, P1022 EGERT M, 2003, APPL ENVIRON MICROB, V69, P2555, DOI 10.1128/AEM.69.5.2555-2562.2003 GAST RJ, 2004, APPL ENVIRON MICROB, V70, P2028, DOI 10.1128/AEM.70.4.2028-2037.2004 GASTRICH MD, 2004, HARMFUL ALGAE, V3, P305, DOI 10.1016/j.hal.2004.06.003 GOBLER CJ, 2001, MAR ECOL-PROG SER, V217, P299 GOBLER CJ, 2005, ESTUARIES, V28, P726 KAPLAN CW, 2004, APPL ENVIRON MICROB, V70, P1777, DOI 10.1128/AEM.70.3.1777-1786.2004 KENKEL NC, 1986, ECOLOGY, V67, P919 KENT AD, 2003, APPL ENVIRON MICROB, V69, P6768, DOI 10.1128/AEM.69.11.6768-6776.2003 KING JY, 2005, PHYSIOL GENOMICS, V23, P103, DOI 10.1152/physiolgenomics.00101.2005 LONSDALE DJ, 1996, MAR ECOL-PROG SER, V134, P247 LOVEJOY C, 2006, APPL ENVIRON MICROB, V72, P3085, DOI 10.1128/AEM.72.5.3085-3095.2006 MARSH TL, 2005, METHOD ENZYMOL, V397, P308, DOI 10.1016/S0076-6879(05)97018-3 MASSANA R, 2003, AQUAT MICROB ECOL, V32, P11 MCGARIGAL K, 2000, MULTIVARIATE STAT WI MINCHIN PR, 1987, VEGETATIO, V69, P89 OKELLY CJ, 2003, J PHYCOL, V39, P850 OKSANEN J, 1997, J VEG SCI, V8, P447 PEET RK, 1988, AM NAT, V131, P924 ROMARI K, 2004, LIMNOL OCEANOGR, V49, P784 SAARI TA, 2007, MYCORRHIZA, V17, P133, DOI 10.1007/s00572-006-0102-5 SCHABEREITERGURTNER C, 2001, J MICROBIOL METH, V47, P345 SIERACKI ME, 2004, HARMFUL ALGAE, V3, P459, DOI 10.1016/j.hal.2004.06.012 SMAYDA TJ, 1989, NOVEL PHYTOPLANKTON, P159 SOGIN ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103 STOECK T, 2003, APPL ENVIRON MICROB, V69, P2657, DOI 10.1128/AEM.69.5.2657-2663.2003 STOECK T, 2003, APPL ENVIRON MICROB, V69, P5656, DOI 10.1128/AEM.69.9.5656-5663.2003 TRACEY GA, 1988, MAR ECOL-PROG SER, V50, P73 VANHANNEN EJ, 1998, J PHYCOL, V34, P206 WARTENBERG D, 1987, AM NAT, V129, P434 WAZNIAK CE, 2004, HARMFUL ALGAE, V3, P321, DOI 10.1016/j.hal.2004.06.004 ZEIDNER G, 2004, ENVIRON MICROBIOL, V6, P528, DOI 10.1111/j.1462-2920.2004.00599.x]]></refworks:cr>
<refworks:jo><![CDATA[Aquat.Microb.Ecol.]]></refworks:jo>
<refworks:an><![CDATA[000265123700007]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2827</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2802">
<title><![CDATA[Using sequential extraction techniques to assess the partitioning of plutonium and neptunium-237 from multiple sources in sediments from the Ob River (Siberia)]]></title>
<dc:creator><![CDATA[Kenna,Timothy C.]]></dc:creator>
<description>Sequential extraction techniques have been developed to assess partitioning of anthropogenic radionuclides (240Pu, 239Pu, and 237Np), originating from a variety of sources, as identified by using bulk sediment isotopic composition. Sediments were leached sequentially with a series of six chemical treatments designed to approximate different environmental processes that may occur or to selectively extract trace metals contained in different solid phases of the sediments (i.e., exchangeable, reducible, carbonate, organic, acid leachable, and refractory). Results indicate the majority of Pu and Np is similarly distributed within many of the extracted fractions, with the largest percentage (66–97%) of both elements being observed in sediments treated with buffered citrate dithionite (CDB), which targets easily reduced constituents such as Mn and Fe hydrous oxides. While these results do indicate an association of Pu and Np with redox sensitive elements, the environmental implications are unclear given that the CDB treatment is more extreme than naturally occurring conditions. Minor amounts of Np partition differently from Pu in sediments. The NH4-acetate treatment, which is designed to liberate trace metals that are loosely adsorbed onto the surfaces of sedimentary materials such as hydrated iron oxides and humic substances, or present at exchangeable sites in clay minerals, mobilized ∼12% of the total Np while Pu levels were below detection. The H2O2 treatment, which is designed to liberate trace metals bound to organic matter, mobilized ∼8 and ∼1% of Np and Pu, respectively. These results indicate that a minor portion of the total Np may be affected by environmental conditions that have little or no effect on Pu. Between 7 and 24% of the Pu was observed in treatments designed to liberate Pu and Np that are tightly bound to lithogenic phases or refractory silicates. The 240Pu/239Pu observed in accessible and refractory fractions ranged between 0.11 and 0.18. With the exception of one sample, the 240Pu/239Pu isotope ratios measured in the refractory fractions are essentially identical having a mean ratio value of 0.123 ± 0.001 (1σ). The 240Pu/239Pu ratios provide isotopic evidence that suggests a portion of non-fallout contamination has a refractory nature. The presence of similarly low 240Pu/239Pu ratios in refractory fractions of sediments from the Ob and Irtysh Rivers suggests the existence of a source of refractory Pu which is consistent with refractory “hot particles” derived from surface tests at the Semipalitinsk test site.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=vvqxW9y1Czk:M7wmifyxzBk:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=vvqxW9y1Czk:M7wmifyxzBk:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=vvqxW9y1Czk:M7wmifyxzBk:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Journal of environmental radioactivity]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:volume><![CDATA[In Press, Corrected Proof]]></prism:volume> 
<refworks:created><![CDATA[5/14/2009 5:22:03 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:54 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/vvqxW9y1Czk/refshare</link>
<refworks:k1><![CDATA[ Plutonium]]></refworks:k1>
<refworks:k1><![CDATA[ Neptunium]]></refworks:k1>
<refworks:k1><![CDATA[ Sequential extraction]]></refworks:k1>
<refworks:k1><![CDATA[ Ob Estuary]]></refworks:k1>
<refworks:sn><![CDATA[0265-931X]]></refworks:sn>
<refworks:do><![CDATA[DOI: 10.1016/j.jenvrad.2009.03.016]]></refworks:do>
<refworks:id><![CDATA[2802]]></refworks:id>
<refworks:ul><![CDATA[http://www.sciencedirect.com/science/article/B6VB2-4W50K4W-1/2/0752c868d126902ee51677f84db8c8d9]]></refworks:ul>
<refworks:jo><![CDATA[J.Environ.Radioact.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2802</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2805">
<title><![CDATA[Empirical Leucine-to-Carbon Conversion Factors for Estimating Heterotrophic Bacterial Production: Seasonality and Predictability in a Temperate Coastal Ecosystem]]></title>
<dc:creator><![CDATA[Calvo-Diaz,Alejandra]]></dc:creator>
<dc:creator><![CDATA[ Moran,Xose,Anxelu G.]]></dc:creator>
<description>Leucine-to-carbon conversion factors (CFs) are needed for converting substrate incorporation into biomass production of heterotrophic bacteria. During 2006 we performed 20 dilution experiments for determining the spatiotemporal variability of empirical CFs in temperate Atlantic coastal waters. Values (0.49 to 1.92 kg C mol Leu-1) showed maxima in autumn to early winter and minima in summer. Spatially averaged CFs were significantly negatively correlated with in situ leucine incorporation rates (r = -0.91) and positively correlated with phosphate concentrations (r = 0.76). These relationships, together with a strong positive covariation between cell-specific leucine incorporation rates and carbon contents (r = 0.85), were interpreted as a strategy to maximize survival through protein synthesis and low growth rates under nutrient limitation (low CFs) until favorable conditions stimulate cell division relative to protein synthesis (high CFs). A multiple regression with in situ leucine incorporation rates and cellular carbon contents explained 96% of CF variance in our ecosystem, suggesting their potential prediction from more easily measurable routine variables. The use of the theoretical CF of 1.55 kg C mol Leu-1 would have resulted in a serious overestimation (73%) of annual bacterial production rates. Our results emphasize the need for considering the temporal scale in CFs for bacterial production studies.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=_UZUuCZVYcE:GDs7K0gKydM:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=_UZUuCZVYcE:GDs7K0gKydM:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=_UZUuCZVYcE:GDs7K0gKydM:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Appl.Environ.Microbiol.]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Generic]]></refworks:rwtype>
<prism:number><![CDATA[10]]></prism:number>
<prism:volume><![CDATA[75]]></prism:volume> 
<prism:startingPage><![CDATA[3216]]></prism:startingPage>
<prism:endingPage><![CDATA[3221]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:09:57 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:54 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/_UZUuCZVYcE/refshare</link>
<refworks:FD><![CDATA[05/15]]></refworks:FD>
<refworks:no><![CDATA[ID: 1573; M3: 10.1128/AEM.01570-08]]></refworks:no>
<refworks:lk><![CDATA[http://aem.asm.org/cgi/content/abstract/75/10/3216]]></refworks:lk>
<refworks:id><![CDATA[2805]]></refworks:id>
<refworks:jo><![CDATA[Appl.Environ.Microbiol.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2805</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2806">
<title><![CDATA[Arc-continent collision and the formation of continental crust: a new geochemical and isotopic record from the Ordovician Tyrone Igneous Complex, Ireland]]></title>
<dc:creator><![CDATA[Draut,Amy E.]]></dc:creator>
<dc:creator><![CDATA[ Clift,Peter D.]]></dc:creator>
<dc:creator><![CDATA[ Amato,Jeffrey M.]]></dc:creator>
<dc:creator><![CDATA[ Blusztajn,Jerzy]]></dc:creator>
<dc:creator><![CDATA[ Schouten,Hans]]></dc:creator>
<description>Collisions between oceanic island-arc terranes and passive continental margins are thought to have been important in the formation of continental crust throughout much of Earth's history. Magmatic evolution during this stage of the plate-tectonic cycle is evident in several areas of the Ordovician Grampian-Taconic orogen, as we demonstrate in the first detailed geochemical study of the Tyrone Igneous Complex, Ireland. New U-Pb zircon dating yields ages of 493 {+/-} 2 Ma from a primitive mafic intrusion, indicating intra-oceanic subduction in Tremadoc time, and 475 {+/-} 10 Ma from a light rare earth element (LREE)-enriched tonalite intrusion that incorporated Laurentian continental material by early Arenig time (Early Ordovician, Stage 2) during arc-continent collision. Notably, LREE enrichment in volcanism and silicic intrusions of the Tyrone Igneous Complex exceeds that of average Dalradian (Laurentian) continental material that would have been thrust under the colliding forearc and potentially recycled into arc magmatism. This implies that crystal fractionation, in addition to magmatic mixing and assimilation, was important to the formation of new crust in the Grampian-Taconic orogeny. Because similar super-enrichment of orogenic melts occurred elsewhere in the Caledonides in the British Isles and Newfoundland, the addition of new, highly enriched melt to this accreted arc terrane was apparently widespread spatially and temporally. Such super-enrichment of magmatism, especially if accompanied by loss of corresponding lower crustal residues, supports the theory that arc-continent collision plays an important role in altering bulk crustal composition toward typical values for ancient continental crust.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=Lnf4dDOZToE:ikQuaWWe_iM:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=Lnf4dDOZToE:ikQuaWWe_iM:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=Lnf4dDOZToE:ikQuaWWe_iM:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Journal of the Geological Society]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[3]]></prism:number>
<prism:volume><![CDATA[166]]></prism:volume> 
<prism:startingPage><![CDATA[485]]></prism:startingPage>
<prism:endingPage><![CDATA[500]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:09:58 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:54 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/Lnf4dDOZToE/refshare</link>
<refworks:FD><![CDATA[01/01]]></refworks:FD>
<refworks:no><![CDATA[ID: 4348; M3: 10.1144/0016-76492008-102]]></refworks:no>
<refworks:lk><![CDATA[http://jgs.lyellcollection.org/cgi/content/abstract/166/3/485]]></refworks:lk>
<refworks:id><![CDATA[2806]]></refworks:id>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2806</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2807">
<title><![CDATA[Physiological evidence for binaural directional computations in the brainstem of the oyster toadfish, Opsanus tau (L.)]]></title>
<dc:creator><![CDATA[Edds-Walton,Peggy L.]]></dc:creator>
<dc:creator><![CDATA[ Fay,Richard R.]]></dc:creator>
<description>Comparisons of left and right auditory input are required for sound source localization in most terrestrial vertebrates. Previous physiological and neuroanatomical studies have indicated that binaural convergence is present in the ascending auditory system of the toadfish. In this study, we introduce a new technique, otolith tipping, to reversibly alter directional auditory input to the central nervous system of a fish. The normal directional response pattern (DRP) was recorded extracellularly for auditory cells in the first-order descending octaval nucleus (DON) or the midbrain torus semicircularis (TS) using particle motion stimuli in the horizontal and mid-sagittal planes. The same stimuli were used during tipping of the saccular otolith to evaluate changes in the DRPs. Post-tipping DRPs were generated and compared with the pre-tipping DRPs to ensure that the data had been collected consistently from the same unit. In the DON, ipsilateral or contralateral tipping most often eliminated spike activity, but changes in spike rate ({+/-}) and DRP shape were also documented. In the TS, tipping most often caused a change in spike rate ({+/-}) and altered the shape or best axis of the DRP. The data indicate that there are complex interactions of excitatory and inhibitory inputs in the DON and TS resulting from the convergence of binaural inputs. As in anurans, but unlike other terrestrial vertebrates, binaural processing associated with encoding the direction of a sound source begins in the first-order auditory nucleus of this teleost.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=oO1xHveAyf0:alLWDw3wj_0:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=oO1xHveAyf0:alLWDw3wj_0:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=oO1xHveAyf0:alLWDw3wj_0:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[J Exp Biol]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[10]]></prism:number>
<prism:volume><![CDATA[212]]></prism:volume> 
<prism:startingPage><![CDATA[1483]]></prism:startingPage>
<prism:endingPage><![CDATA[1493]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:09:58 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:54 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/oO1xHveAyf0/refshare</link>
<refworks:FD><![CDATA[05/15]]></refworks:FD>
<refworks:k1><![CDATA[ auditory]]></refworks:k1>
<refworks:k1><![CDATA[ descending octaval nucleus]]></refworks:k1>
<refworks:k1><![CDATA[ directional hearing]]></refworks:k1>
<refworks:k1><![CDATA[ torus semicircularis]]></refworks:k1>
<refworks:no><![CDATA[ID: 9263; M3: 10.1242/jeb.026898]]></refworks:no>
<refworks:lk><![CDATA[http://jeb.biologists.org/cgi/content/abstract/212/10/1483]]></refworks:lk>
<refworks:id><![CDATA[2807]]></refworks:id>
<refworks:jo><![CDATA[J.Exp.Biol.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2807</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2808">
<title><![CDATA[Effect of PCR amplicon size on assessments of clone library microbial diversity and community structure]]></title>
<dc:creator><![CDATA[Huber,Julie A.]]></dc:creator>
<dc:creator><![CDATA[ Morrison,Hilary G.]]></dc:creator>
<dc:creator><![CDATA[ Huse,Susan M.]]></dc:creator>
<dc:creator><![CDATA[ Neal,Phillip R.]]></dc:creator>
<dc:creator><![CDATA[ Sogin,Mitchell L.]]></dc:creator>
<dc:creator><![CDATA[ Welch,David B. Mark]]></dc:creator>
<description>PCR-based surveys of microbial communities commonly use regions of the small-subunit ribosomal RNA (SSU rRNA) gene to determine taxonomic membership and estimate total diversity. Here we show that the length of the target amplicon has a significant effect on assessments of microbial richness and community membership. Using operational taxonomic unit (OTU)- and taxonomy-based tools, we compared the V6 hypervariable region of the bacterial SSU rRNA gene of three amplicon libraries of c. 100, 400 and 1000 base pairs (bp) from each of two hydrothermal vent fluid samples. We found that the smallest amplicon libraries contained more unique sequences, higher diversity estimates and a different community structure than the other two libraries from each sample. We hypothesize that a combination of polymerase dissociation, cloning bias and mispriming due to secondary structure accounts for the differences. While this relationship is not linear, it is clear that the smallest amplicon libraries contained more different types of sequences, and accordingly, more diverse members of the community. Because divergent and lower abundant taxa can be more readily detected with smaller amplicons, they may provide better assessments of total community diversity and taxonomic membership than longer amplicons in molecular studies of microbial communities.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=GMUWGzKI6uM:kyuRBLfVGiE:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=GMUWGzKI6uM:kyuRBLfVGiE:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=GMUWGzKI6uM:kyuRBLfVGiE:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Environmental microbiology]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[5]]></prism:number>
<prism:volume><![CDATA[11]]></prism:volume> 
<prism:startingPage><![CDATA[1292]]></prism:startingPage>
<prism:endingPage><![CDATA[1302]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:09:58 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:54 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/GMUWGzKI6uM/refshare</link>
<refworks:no><![CDATA[ID: 1397; M3: 10.1111/j.1462-2920.2008.01857.x]]></refworks:no>
<refworks:lk><![CDATA[http://dx.doi.org/10.1111/j.1462-2920.2008.01857.x]]></refworks:lk>
<refworks:id><![CDATA[2808]]></refworks:id>
<refworks:jo><![CDATA[Environ.Microbiol.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2808</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2809">
<title><![CDATA[Basin-Scale Coherence in Phenology of Shrimps and Phytoplankton in the North Atlantic Ocean]]></title>
<dc:creator><![CDATA[Koeller,P.]]></dc:creator>
<dc:creator><![CDATA[ Fuentes-Yaco,C.]]></dc:creator>
<dc:creator><![CDATA[ Platt,T.]]></dc:creator>
<dc:creator><![CDATA[ Sathyendranath,S.]]></dc:creator>
<dc:creator><![CDATA[ Richards,A.]]></dc:creator>
<dc:creator><![CDATA[ Ouellet,P.]]></dc:creator>
<dc:creator><![CDATA[ Orr,D.]]></dc:creator>
<dc:creator><![CDATA[ Skuladottir,U.]]></dc:creator>
<dc:creator><![CDATA[ Wieland,K.]]></dc:creator>
<dc:creator><![CDATA[ Savard,L.]]></dc:creator>
<dc:creator><![CDATA[ Aschan,M.]]></dc:creator>
<description>Climate change could lead to mismatches between the reproductive cycles of marine organisms and their planktonic food. We tested this hypothesis by comparing shrimp (Pandalus borealis) egg hatching times and satellite-derived phytoplankton bloom dynamics throughout the North Atlantic. At large spatial and long temporal (10 years or longer) scales, hatching was correlated with the timing of the spring phytoplankton bloom. Annual egg development and hatching times were determined locally by bottom water temperature. We conclude that different populations of P. borealis have adapted to local temperatures and bloom timing, matching egg hatching to food availability under average conditions. This strategy is vulnerable to interannual oceanographic variability and long-term climatic changes.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=nxy18kz6I8Y:D9rS0hvAjis:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=nxy18kz6I8Y:D9rS0hvAjis:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=nxy18kz6I8Y:D9rS0hvAjis:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Science]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[5928]]></prism:number>
<prism:volume><![CDATA[324]]></prism:volume> 
<prism:startingPage><![CDATA[791]]></prism:startingPage>
<prism:endingPage><![CDATA[793]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:09:58 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:54 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/nxy18kz6I8Y/refshare</link>
<refworks:FD><![CDATA[05/08]]></refworks:FD>
<refworks:no><![CDATA[ID: 15343; M3: 10.1126/science.1170987]]></refworks:no>
<refworks:lk><![CDATA[http://www.sciencemag.org/cgi/content/abstract/324/5928/791]]></refworks:lk>
<refworks:id><![CDATA[2809]]></refworks:id>
<refworks:jo><![CDATA[Science]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2809</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2818">
<title><![CDATA[Sensitivity and elasticity of density-dependent population models]]></title>
<dc:creator><![CDATA[Caswell,Hal]]></dc:creator>
<description>The sensitivity analysis of linear matrix population models is well-developed, but no comparable approach exists for the nonlinear models appropriate for density-dependent populations. This paper presents such an approach, using matrix differential calculus to obtain the derivatives of equilibria and cycles with respect to arbitrary demographic parameters. The method readily calculates the sensitivity and elasticity of the population vector or of weighted densities, ratios of age classes or stages, proportional structures or temporal means and variances calculated from the population vector. Examples are presented using data on flour beetles of the genus Tribolium. An attempt is made to extend the approach to the sensitivity of averages over strange attractors, but the resulting calculations fail to converge, apparently due to a positive Lyapunov exponent for the sensitivity equation.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=_6Rgn_H_EdM:r4-jxF6Q8NM:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=_6Rgn_H_EdM:r4-jxF6Q8NM:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=_6Rgn_H_EdM:r4-jxF6Q8NM:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[TAYLOR & FRANCIS LTD]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Journal of Difference Equations and Applications]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[4]]></prism:number>
<prism:volume><![CDATA[15]]></prism:volume> 
<prism:startingPage><![CDATA[349]]></prism:startingPage>
<prism:endingPage><![CDATA[369]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:10:41 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:54 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/_6Rgn_H_EdM/refshare</link>
<refworks:k1><![CDATA[ matrix population models]]></refworks:k1>
<refworks:k1><![CDATA[ perturbation analysis]]></refworks:k1>
<refworks:k1><![CDATA[ matrix calculus]]></refworks:k1>
<refworks:k1><![CDATA[ density-dependence]]></refworks:k1>
<refworks:k1><![CDATA[ MATRIX DIFFERENTIATION]]></refworks:k1>
<refworks:k1><![CDATA[ NATURAL-SELECTION]]></refworks:k1>
<refworks:k1><![CDATA[ DYNAMICS]]></refworks:k1>
<refworks:k1><![CDATA[ EQUILIBRIUM]]></refworks:k1>
<refworks:k1><![CDATA[ EVOLUTION]]></refworks:k1>
<refworks:k1><![CDATA[ PRODUCTS]]></refworks:k1>
<refworks:k1><![CDATA[ THEOREMS]]></refworks:k1>
<refworks:k1><![CDATA[ Mathematics, Applied]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 40; TC: 0; J9: J DIFFER EQU APPL; PG: 21; GA: 435HI]]></refworks:no>
<refworks:pp><![CDATA[ABINGDON; 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND]]></refworks:pp>
<refworks:sn><![CDATA[1023-6198]]></refworks:sn>
<refworks:ad><![CDATA[Woods Hole Oceanog Inst, Biol Dept MS 34, Woods Hole, MA 02543 USA.; Caswell, H, Woods Hole Oceanog Inst, Biol Dept MS 34, Woods Hole, MA 02543 USA.; hcaswell@whoi.edu]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.1080/10236190802282669]]></refworks:do>
<refworks:id><![CDATA[2818]]></refworks:id>
<refworks:cr><![CDATA[CR: ABADIR KM, 2005, MATRIX ALGEBRA ECONO, V1 ADRIANOVA LY, 1995, TRANSLATIONS MATH MO, V146 BAUDISCH A, 2005, P NATL ACAD SCI USA, V102, P8263, DOI 10.1073/pnas.0502155102 CASWELL H, 1978, THEORETICAL POPULATI, V14, P215 CASWELL H, 1986, AM NAT, V128, P707 CASWELL H, 2001, MATRIX POPULATION MO CASWELL H, 2004, ECOL LETT, V7, P380, DOI 10.1111/j.1461-0248.2004.00595.x CASWELL H, 2005, J DIFFER EQU APPL, V11, P295, DOI 10.1080/10236190412331335382 CASWELL H, 2006, MAM2006 MARK ANN M B, P319 CASWELL H, 2007, ECOL LETT, V10, P1, DOI 10.1111/j.1461-0248.2006.01001.x CASWELL H, 2007, ENERGETICS ECOSYSTEM CASWELL H, 2008, DEMOGR RES, V18, P59, ARTN 3 CLUTTONBROCK TH, 1997, AM NAT, V149, P195 COSTANTINO RF, 1997, SCIENCE, V275, P389 CUSHING JM, 1998, INTRO STRUCTURED POP CUSHING JM, 2003, CHAOS ECOLOGY EXPT N DENNIS B, 1995, ECOL MONOGR, V65, P261 EMECKI M, 2001, P INT C CONTR ATM FU, P26 FERRIERE R, 1993, P ROY SOC LOND B BIO, V251, P33 GRANT A, 2000, ECOLOGY, V81, P680 GRANT A, 2003, J ANIM ECOL, V72, P94 HAMILTON WD, 1966, J THEOR BIOL, V12, P12 IANNELLI M, 2005, GENDER STRUCTURED PO KEYFITZ N, 1971, J AM STAT ASSOC, V66, P275 KEYFITZ N, 1972, P 6 BERK S MATH STAT, V4, P89 MAGNUS JR, 1985, J MATH PSYCHOL, V29, P474 MAGNUS JR, 1988, MATRIX DIFFERENTIAL METZ JAJ, 1992, TRENDS ECOL EVOL, V7, P198 NEL DG, 1980, S AFR STAT J, V14, P137 NEUDECKER H, 1969, J AM STAT ASSOC, V64, P953 POLLAK RA, 1990, J POLIT ECON, V98, P399 POLLARD JH, 1977, INT POP C MEX 1997 L, P291 RAND DA, 1994, PHILOS T R SOC B, V343, P261 ROTH WE, 1934, B AM MATH SOC, V40, P461 SKALSKI JR, 2005, WILDLIFE DEMOGRAPHY TAKADA T, 1992, MATH BIOSCI, V112, P155 TAKADA T, 1998, J MATH BIOL, V36, P497 TULJAPURKAR S, 2008, STRUCTURED POPULATIO, P59 VERDY A, 2008, B MATH BIOL IN PRESS, DOI 10.1007/S11538-008-9312-7 YEARSLEY JM, 2003, ECOL MODEL, V163, P119, DOI 10.1016/S0304-3800(02)00416-7]]></refworks:cr>
<refworks:jo><![CDATA[J.Differ.Equ.Appl.]]></refworks:jo>
<refworks:an><![CDATA[000265334300002]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2818</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2819">
<title><![CDATA[Satellite observations of large atmospheric gravity waves in the Mozambique Channel]]></title>
<dc:creator><![CDATA[Da Silva,Jose C. B.]]></dc:creator>
<dc:creator><![CDATA[ Magalhaes,Jorge M.]]></dc:creator>
<description>Satellite imagery (MODIS-Terra and Aqua, ASAR and MERIS-Envisat) has revealed signatures consistent with horizontally propagating large-scale atmospheric gravity waves which are frequently observed during the winter season in the Mozambique Channel. We examine and characterize statistically the full horizontal structure of these atmospheric gravity waves. The waves were found to have dispersive average wavelengths ranging from 8.5 to 3.5km and a mean along-crest 'coherence' length of 443km. The propagation characteristics of these waves are examined using in situ and remote sensing measurements. The propagation speeds are estimated using two consecutive satellite images of the same wave-packet and are used as a proxy for the waves' phase speeds. The Scorer parameter vertical profiles, calculated from available atmospheric soundings nearest to the satellite observations, were found to support wave propagation conditions. The vertical structure of stability and wind determine the favourable conditions for wave propagation. Air subsidence associated with high-pressure systems is an important factor setting the pre-conditions for wave propagation. Some suggestions are presented regarding the influence of Moving Polar Highs in the generation and propagation of the observed waves.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=_Spj4Z7UzIE:3eu7lYJOw_4:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=_Spj4Z7UzIE:3eu7lYJOw_4:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=_Spj4Z7UzIE:3eu7lYJOw_4:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[TAYLOR & FRANCIS LTD]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[International Journal of Remote Sensing]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[5]]></prism:number>
<prism:volume><![CDATA[30]]></prism:volume> 
<prism:startingPage><![CDATA[1161]]></prism:startingPage>
<prism:endingPage><![CDATA[1182]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:10:41 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:54 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/_Spj4Z7UzIE/refshare</link>
<refworks:k1><![CDATA[ MORNING GLORY]]></refworks:k1>
<refworks:k1><![CDATA[ INTERNAL WAVES]]></refworks:k1>
<refworks:k1><![CDATA[ NONLINEAR-WAVES]]></refworks:k1>
<refworks:k1><![CDATA[ CARPENTARIA]]></refworks:k1>
<refworks:k1><![CDATA[ IMAGES]]></refworks:k1>
<refworks:k1><![CDATA[ BORES]]></refworks:k1>
<refworks:k1><![CDATA[ GULF]]></refworks:k1>
<refworks:k1><![CDATA[ Remote Sensing]]></refworks:k1>
<refworks:k1><![CDATA[ Imaging Science & Photographic Technology]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 35; TC: 0; J9: INT J REMOTE SENS; PG: 22; GA: 434WH]]></refworks:no>
<refworks:pp><![CDATA[ABINGDON; 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND]]></refworks:pp>
<refworks:sn><![CDATA[0143-1161]]></refworks:sn>
<refworks:ad><![CDATA[[Da Silva, Jose C. B.; Magalhaes, Jorge M.] Univ Lisbon, Inst Oceanog, Fac Sci, P-1749016 Lisbon, Portugal. [Da Silva, Jose C. B.; Magalhaes, Jorge M.] Univ Lisbon, Dept Geog Engn Geophys & Energy DEGGE, Fac Sci, P-1749016 Lisbon, Portugal. [Da Silva, Jose C. B.] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA.; Da Silva, JCB, Univ Lisbon, Inst Oceanog, Fac Sci, Campo Grande, P-1749016 Lisbon, Portugal.; jdasilva@fc.ul.pt]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.1080/01431160802448943]]></refworks:do>
<refworks:id><![CDATA[2819]]></refworks:id>
<refworks:cr><![CDATA[CR: ALPERS W, 1985, NATURE, V314, P245 ALPERS W, 1996, J GEOPHYS RES-OCEANS, V101, P6513 ALPERS W, 1997, ESA PUBLICATIONS DIV, P1287 CHRISTIE DR, 1989, J ATMOS SCI, V46, P1462 CHUNCHUZOV I, 2000, REMOTE SENS ENVIRON, V74, P343 CLARKE RH, 1981, MON WEATHER REV, V109, P1726 CROOK NA, 1986, J ATMOS SCI, V43, P171 CROOK NA, 1988, J ATMOS SCI, V45, P1533 DASILVA JCB, 1998, J GEOPHYS RES-OCEANS, V103, P8009 DOVIAK RJ, 1991, J ATMOS SCI, V48, P87 FULTON R, 1990, J ATMOS SCI, V47, P319 HINES CO, 1960, CAN J PHYS, V38, P1441 HINES CO, 1972, NATURE, V239, P73 JACKSON CR, 2002, ATLAS INTERNAL SOLIT JACKSON CR, 2004, ATLAS INTERNAL SOLIT KIM DJ, 2005, GEOPHYS RES LETT, V32, ARTN L02606 KIM DJ, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024351 LEROUX M, 2001, METEOROLOGY CLIMATE LI XF, 2001, J GEOPHYS RES-OCEANS, V106, P7017 NASH JD, 2005, NATURE, V437, P400, DOI 10.1038/nature03936 NOONAN JA, 1985, GEOPHYS ASTRO FLUID, V33, P123, DOI 10.1080/03091928508240749 PORTER A, 2002, J FLUID MECH, V454, P1 ROMANOVA NN, 1995, ATMOSPHERIC OCEANIC, V31, P151 ROTTMAN JW, 1993, J ATMOS SCI, V50, P2116 ROTTMAN JW, 2002, ENV STRATIFIED FLOWS, P61 SALBY M, 1996, FUNDAMENTALS ATMOSPH SCORER RS, 1949, QUART J ROY METEOR S, V75, P41 SIMPSON JE, 1997, GRAVITY CURRENTS ENV SMITH DK, 2002, P IGARSS REM SENS IN, V2, P735 SMITH RK, 1984, AUST METEOROL MAG, V32, P155 SMITH RK, 1988, EARTH-SCI REV, V25, P267 THOMSON RE, 1992, J GEOPHYS RES-OCEANS, V97, P14249 VACHON PW, 1994, J GEOPHYS RES, V99, P22843 ZHENG Q, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023770 ZHENG QN, 1998, GEOPHYS RES LETT, V25, P3559]]></refworks:cr>
<refworks:jo><![CDATA[Int.J.Remote Sens.]]></refworks:jo>
<refworks:an><![CDATA[000265304300005]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2819</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2822">
<title><![CDATA[Fire in the Earth System]]></title>
<dc:creator><![CDATA[Bowman,David M. J. S.]]></dc:creator>
<dc:creator><![CDATA[ Balch,Jennifer K.]]></dc:creator>
<dc:creator><![CDATA[ Artaxo,Paulo]]></dc:creator>
<dc:creator><![CDATA[ Bond,William J.]]></dc:creator>
<dc:creator><![CDATA[ Carlson,Jean M.]]></dc:creator>
<dc:creator><![CDATA[ Cochrane,Mark A.]]></dc:creator>
<dc:creator><![CDATA[ D'Antonio,Carla M.]]></dc:creator>
<dc:creator><![CDATA[ DeFries,Ruth S.]]></dc:creator>
<dc:creator><![CDATA[ Doyle,John C.]]></dc:creator>
<dc:creator><![CDATA[ Harrison,Sandy P.]]></dc:creator>
<dc:creator><![CDATA[ Johnston,Fay H.]]></dc:creator>
<dc:creator><![CDATA[ Keeley,Jon E.]]></dc:creator>
<dc:creator><![CDATA[ Krawchuk,Meg A.]]></dc:creator>
<dc:creator><![CDATA[ Kull,Christian A.]]></dc:creator>
<dc:creator><![CDATA[ Marston,J. Brad]]></dc:creator>
<dc:creator><![CDATA[ Moritz,Max A.]]></dc:creator>
<dc:creator><![CDATA[ Prentice,I. Colin]]></dc:creator>
<dc:creator><![CDATA[ Roos,Christopher I.]]></dc:creator>
<dc:creator><![CDATA[ Scott,Andrew C.]]></dc:creator>
<dc:creator><![CDATA[ Swetnam,Thomas W.]]></dc:creator>
<dc:creator><![CDATA[ van der Werf,Guido R.]]></dc:creator>
<dc:creator><![CDATA[ Pyne,Stephen J.]]></dc:creator>
<description>Fire is a worldwide phenomenon that appears in the geological record soon after the appearance of terrestrial plants. Fire influences global ecosystem patterns and processes, including vegetation distribution and structure, the carbon cycle, and climate. Although humans and fire have always coexisted, our capacity to manage fire remains imperfect and may become more difficult in the future as climate change alters fire regimes. This risk is difficult to assess, however, because fires are still poorly represented in global models. Here, we discuss some of the most important issues involved in developing a better understanding of the role of fire in the Earth system.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=eUp4HbAF0ps:HHdPLh3wdaM:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=eUp4HbAF0ps:HHdPLh3wdaM:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=eUp4HbAF0ps:HHdPLh3wdaM:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[AMER ASSOC ADVANCEMENT SCIENCE]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Science]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[5926]]></prism:number>
<prism:volume><![CDATA[324]]></prism:volume> 
<prism:startingPage><![CDATA[481]]></prism:startingPage>
<prism:endingPage><![CDATA[484]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:10:41 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:54 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/eUp4HbAF0ps/refshare</link>
<refworks:FD><![CDATA[APR 24]]></refworks:FD>
<refworks:k1><![CDATA[ ATMOSPHERIC OXYGEN]]></refworks:k1>
<refworks:k1><![CDATA[ FOREST-FIRES]]></refworks:k1>
<refworks:k1><![CDATA[ CLIMATE]]></refworks:k1>
<refworks:k1><![CDATA[ CARBON]]></refworks:k1>
<refworks:k1><![CDATA[ ECOSYSTEMS]]></refworks:k1>
<refworks:k1><![CDATA[ EVOLUTION]]></refworks:k1>
<refworks:k1><![CDATA[ EXPANSION]]></refworks:k1>
<refworks:k1><![CDATA[ HISTORY]]></refworks:k1>
<refworks:k1><![CDATA[ SYNCHRONY]]></refworks:k1>
<refworks:k1><![CDATA[ EMISSIONS]]></refworks:k1>
<refworks:k1><![CDATA[ Multidisciplinary Sciences]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 48; TC: 0; J9: SCIENCE; PG: 4; GA: 436JU]]></refworks:no>
<refworks:pp><![CDATA[WASHINGTON; 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA]]></refworks:pp>
<refworks:sn><![CDATA[0036-8075]]></refworks:sn>
<refworks:ad><![CDATA[[Balch, Jennifer K.] Natl Ctr Ecol Anal & Synth, Santa Barbara, CA 93101 USA. [Johnston, Fay H.] Univ Tasmania, Menzies Res Inst, Hobart, Tas 7001, Australia. [Balch, Jennifer K.] Yale Univ, Sch Forestry & Environm Studies, New Haven, CT 06511 USA. [Balch, Jennifer K.] Woods Hole Res Ctr, Woods Hole, MA 02543 USA. [Artaxo, Paulo] Univ Sao Paulo, Inst Fis, BR-05508900 Sao Paulo, Brazil. [Bond, William J.] Univ Cape Town, Dept Bot, ZA-7925 Cape Town, South Africa. [Carlson, Jean M.] Univ Calif Santa Barbara, Dept Phys, Santa Barbara, CA 93106 USA. [Cochrane, Mark A.] S Dakota State Univ, Geog Informat Sci Ctr Excellence, Brookings, SD 57007 USA. [D'Antonio, Carla M.] Univ Calif Santa Barbara, Environm Studies Program, Santa Barbara, CA 93106 USA. [D'Antonio, Carla M.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA. [DeFries, Ruth S.] Columbia Univ, New York, NY 10027 USA. [Doyle, John C.] CALTECH, Dept Control & Dynam Syst, Pasadena, CA 91125 USA. [Harrison, Sandy P.] Univ Bristol, Sch Geog Sci, Bristol BS8 1SS, Avon, England. [Keeley, Jon E.] US Geol Survey, Western Ecol Res Ctr, Sequoia Kings Canyon Field Stn, Three Rivers, CA 93271 USA. [Keeley, Jon E.] Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA 90095 USA. [Krawchuk, Meg A.; Moritz, Max A.] Univ Calif Berkeley, Ecosyst Sci Div, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA. [Kull, Christian A.] Monash Univ, Sch Geog & Environm Sci, Melbourne, Vic 3800, Australia. [Marston, J. Brad] Brown Univ, Dept Phys, Providence, RI 02912 USA. [Prentice, I. Colin] Univ Bristol, QUEST, Dept Earth Sci, Bristol BS8 1RJ, Avon, England. [Roos, Christopher I.] Ohio State Univ, Dept Anthropol, Columbus, OH 43210 USA. [Scott, Andrew C.] Royal Holloway Univ London, Dept Earth Sci, Egham TW20 0EX, Surrey, England. [Swetnam, Thomas W.] Univ Arizona, Tree Ring Res Lab, Tucson, AZ 85721 USA. [van der Werf, Guido R.] Vrije Univ Amsterdam, Fac Earth &(TRUNCATED)]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Review]]></refworks:sf>
<refworks:do><![CDATA[10.1126/science.1163886]]></refworks:do>
<refworks:id><![CDATA[2822]]></refworks:id>
<refworks:cr><![CDATA[CR: *IPCC, 2007, CLIM CHANG 2007 PHYS *UNEP, 2002, SPREAD LIK WILDF TRO ALENCAR A, 2006, EARTH INTERACT, V10, P1 ALLEN CD, 2002, ECOL APPL, V12, P1418 ANDREAE MO, 2001, GLOBAL BIOGEOCHEM CY, V15, P955 ANDREAE MO, 2004, SCIENCE, V303, P1337 ARINO O, 1999, EARTH OBS Q, V64, P1 ARORA VK, 2005, J GEOPHYS RES-BIOGEO, V110, ARTN G02008 BARYOSEF O, 2002, ANNU REV ANTHROPOL, V31, P363, DOI 10.1146/annurev.anthro.31.040402.085416 BEERLING DJ, 2006, GLOBAL CHANGE BIOL, V12, P2023, DOI 10.1111/j.1365-2486.2006.01239.x BERNER RA, 2003, ANNU REV EARTH PL SC, V31, P105, DOI 10.1146/annurev.earth.31.100901.141329 BOND WJ, 2005, NEW PHYTOL, V165, P525, DOI 10.1111/j.1469-8137.2004.01252.x BOND WJ, 2005, TRENDS ECOL EVOL, V20, P387, DOI 10.1016/j.tree.2005.04.025 BOWMAN DMJ, 2000, AUSTR RAINFORESTS IS DANTONIO CM, 1992, ANNU REV ECOL SYST, V23, P63 FORSYTH GG, 2008, KOEDOE, V50, P3 GIGLIO L, 2006, J GEOPHYS RES-BIOGEO, V111, ARTN G02016 KARKANAS P, 2007, J HUM EVOL, V53, P197, DOI 10.1016/j.jhevol.2007.04.002 KEELEY JE, 2005, ECOL LETT, V8, P683, DOI 10.1111/j.1461-0248.2005.00767.x KITZBERGER T, 2001, GLOBAL ECOL BIOGEOGR, V10, P315 KITZBERGER T, 2007, P NATL ACAD SCI USA, V104, P543, DOI 10.1073/pnas.0606078104 LANGENFELDS RL, 2002, GLOBAL BIOGEOCHEM CY, V16, ARTN 1048 LEHMANN J, 2008, NAT GEOSCI, V1, P832, DOI 10.1038/ngeo358 LENTON TM, 2001, GLOBAL CHANGE BIOL, V7, P613 LOHMAN DJ, 2007, SCIENCE, V316, P376, DOI 10.1126/science.1140278 MARLON JR, 2008, NAT GEOSCI, V1, P697, DOI 10.1038/ngeo313 MARSTON JB, 1991, NATURE, V349, P573 MCGLONE MS, 1999, J QUATERNARY SCI, V14, P239 MILLER GH, 2005, SCIENCE, V309, P287, DOI 10.1126/science.1111288 MOUILLOT F, 2005, GLOBAL CHANGE BIOL, V11, P398, DOI 10.1111/j.1365-2486.2005.00920.x PAGE SE, 2002, NATURE, V420, P61, DOI 10.1038/nature01131 PLATEK SM, 2002, MED HYPOTHESES, V58, P1 POWER MJ, 2008, CLIM DYNAM, V30, P887, DOI 10.1007/s00382-007-0334-x PYNE SJ, 2001, FIRE BRIEF HIST PYNE SJ, 2007, INT J WILDLAND FIRE, V16, P271, DOI 10.1071/WF06041 RANDERSON JT, 2006, SCIENCE, V314, P1130, DOI 10.1126/science.1132075 SCHWEITHELM J, 1999, INDONESIAS FIRE HAZE SCHWILK DW, 2002, OIKOS, V99, P431 SCOTT AC, 2006, P NATL ACAD SCI USA, V103, P10861, DOI 10.1073/pnas.0604090103 SEGALEN L, 2007, J HUM EVOL, V53, P549 SWETNAM TW, 1993, SCIENCE, V262, P885 TANSEY K, 2008, GEOPHYS RES LETT, V35, ARTN L01401 THEOBALD DM, 2007, LANDSCAPE URBAN PLAN, V83, P340, DOI 10.1016/j.landurbplan.2007.06.002 VANDERWERF GR, 2004, SCIENCE, V303, P73 VANDERWERF GR, 2006, ATMOS CHEM PHYS, V6, P3423 VANDERWERF GR, 2008, GLOBAL BIOGEOCHEM CY, V22, ARTN GB3028 WESTERLING AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834 WRANGHAM RW, 1999, CURR ANTHROPOL, V40, P567]]></refworks:cr>
<refworks:jo><![CDATA[Science]]></refworks:jo>
<refworks:an><![CDATA[000265411200037]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2822</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2823">
<title><![CDATA[Optimal Dynamic Harvest of a Mobile Renewable Resource]]></title>
<dc:creator><![CDATA[Joshi,Hem Raj]]></dc:creator>
<dc:creator><![CDATA[ Herrera,Guillermo E.]]></dc:creator>
<dc:creator><![CDATA[ Lenhart,Suzanne]]></dc:creator>
<dc:creator><![CDATA[ Neubert,Michael G.]]></dc:creator>
<description>We present a mathematical model for the growth, movement, and harvesting of a renewable resource, and characterize the spatiotemporal distribution of harvest effort which maximizes the present value of harvest (yield) over a finite time horizon. We derive the optimality system for this model and show that the yield-maximizing solution often includes one or more no-take reserves that change in size over time. We explore how the results change with varying parameter values. The results inform ongoing debate about the use of reserves, and are increasingly relevant as technology enables enforcement of spatially structured harvest constraints.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=paU-B6lvDRw:-sIkkQV5wsI:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=paU-B6lvDRw:-sIkkQV5wsI:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=paU-B6lvDRw:-sIkkQV5wsI:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[WILEY-BLACKWELL PUBLISHING, INC]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Natural Resource Modeling]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[2]]></prism:number>
<prism:volume><![CDATA[22]]></prism:volume> 
<prism:startingPage><![CDATA[322]]></prism:startingPage>
<prism:endingPage><![CDATA[343]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:10:41 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:54 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/paU-B6lvDRw/refshare</link>
<refworks:FD><![CDATA[MAY]]></refworks:FD>
<refworks:k1><![CDATA[ Bioeconomics]]></refworks:k1>
<refworks:k1><![CDATA[ diffusion]]></refworks:k1>
<refworks:k1><![CDATA[ fisheries management]]></refworks:k1>
<refworks:k1><![CDATA[ marine protected areas]]></refworks:k1>
<refworks:k1><![CDATA[ marine reserves]]></refworks:k1>
<refworks:k1><![CDATA[ maximum yield]]></refworks:k1>
<refworks:k1><![CDATA[ spatial models]]></refworks:k1>
<refworks:k1><![CDATA[ FISHERIES]]></refworks:k1>
<refworks:k1><![CDATA[ METAPOPULATION]]></refworks:k1>
<refworks:k1><![CDATA[ MANAGEMENT]]></refworks:k1>
<refworks:k1><![CDATA[ EQUATIONS]]></refworks:k1>
<refworks:k1><![CDATA[ MODEL]]></refworks:k1>
<refworks:k1><![CDATA[ Environmental Sciences]]></refworks:k1>
<refworks:k1><![CDATA[ Mathematics, Interdisciplinary Applications]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 28; TC: 0; J9: NAT RESOUR MODELING; PG: 22; GA: 432PQ]]></refworks:no>
<refworks:pp><![CDATA[MALDEN; COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA]]></refworks:pp>
<refworks:sn><![CDATA[0890-8575]]></refworks:sn>
<refworks:ad><![CDATA[[Joshi, Hem Raj] Xavier Univ, Dept Math & Comp Sci, Cincinnati, OH 45207 USA. [Herrera, Guillermo E.] Bowdoin Coll, Dept Econ, Brunswick, ME 04011 USA. [Lenhart, Suzanne] Univ Tennessee, Dept Math, Knoxville, TN 37996 USA. [Neubert, Michael G.] Woods Hole Oceanog Inst, Dept Biol, MS 34, Woods Hole, MA 02543 USA.; Joshi, HR, Xavier Univ, Dept Math & Comp Sci, Cincinnati, OH 45207 USA.; joshi@xavier.edu gherrera@bowdoin.edu lenhart@math.utk.edu mneubert@whoi.edu]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.1111/j.1939-7445.2008.00038.x]]></refworks:do>
<refworks:id><![CDATA[2823]]></refworks:id>
<refworks:cr><![CDATA[CR: *NAT CTR EC AN SYN, 2001, SCI CONS STAT MAR RE *NAT RES COUNC, 2001, MAR PROT AR TOOLS SU ARMSTRONG CW, 2007, ECOL ECON, V62, P242, DOI 10.1016/j.ecolecon.2006.03.027 BROCK W, 2005, SWISS J EC STAT, V141, P331 BROWN G, 1997, ECOL ECON, V22, P65 CANADA A, 1998, SIAM J CONTROL OPTIM, V36, P1171 CLARK C, 1990, MATH BIOECONOMICS DING W, 2008, NAT RESOUR MODEL, V21 EVANS LC, 1998, PARTIAL DIFFERENTIAL, V19 FISTER R, 1997, HOUSTON J MATH, V23, P341 HACKBUSCH WK, 1978, COMPUTING, V20, P229 HERRERA GE, 2007, AM J AGR ECON, V89, P176 JOSHI H, 2004, HOUSTON J MATH, V30, P1221 KELLNER JB, 2007, ECOL APPL, V17, P1039 LI H, 1995, OPTIMAL CONTROL THEO LIONS J, 1971, OPTIMAL CONTROL SYST LUBCHENCO J, 2003, ECOL APPL S, V13, S3 NEUBERT M, 2008, THEORETICAL ECOL, V1, P5 NEUBERT MG, 2003, ECOL LETT, V6, P843, DOI 10.1046/j.1461-0248.2003.00493.x ROBERTS CM, 1993, AMBIO, V22, P363 RUDD MA, 2003, FISH FISH, V4, P65 SANCHINCO JN, 2005, J ENVIRON ECON MANAG, V50, P23, DOI 10.1016/j.jeem.2004.11.001 SANCHIRICO JN, 2001, J ENVIRON ECON MANAG, V42, P257 SANCHIRICO JN, 2002, NAT RES MODELING, V15, P291 SANCHIRICO JN, 2006, ECOL APPL, V16, P1643 SIMON J, 1987, ANN MAT PUR APPL, V146, P65 WILEN JE, 2004, MAR RESOUR ECON, V19, P7 ZELIKIN MI, 1994, THEORY CHATTERING CO]]></refworks:cr>
<refworks:jo><![CDATA[Nat.Resour.Model.]]></refworks:jo>
<refworks:an><![CDATA[000265146700006]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2823</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2825">
<title><![CDATA[Comparison of a sediment trap and plankton pump for time-series sampling of larvae near deep-sea hydrothermal vents]]></title>
<dc:creator><![CDATA[Beaulieu,Stace E.]]></dc:creator>
<dc:creator><![CDATA[ Mullineaux,Lauren S.]]></dc:creator>
<dc:creator><![CDATA[ Adams,Diane K.]]></dc:creator>
<dc:creator><![CDATA[ Mills,Susan W.]]></dc:creator>
<description>Studies of larval dispersal and supply are critical to understanding benthic population and community dynamics. A major limitation to these studies in the deep sea has been the restriction of larval sampling to infrequent research cruises. In this study, we investigated the utility of a sediment trap for autonomous, time-series sampling of larvae near deep-sea hydrothermal vents. We conducted simultaneous deployments of a time-series sediment trap and a large-volume plankton pump in close proximity on the East Pacific Rise (2510-m depth). Grouped and species-specific downward fluxes of larvae into the sediment trap were not correlated to larval abundances in pump samples, mean horizontal flow speeds, or mean horizontal larval fluxes. The sediment trap collected a higher ratio of gastropod to polychaete larvae, a lower diversity of gastropod species, and over- or undercollected some gastropod species relative to frequencies in pump sampling. These differences between the two sampling methods indicate that larval concentrations in the plankton are not well predicted by fluxes of larvae into the sediment trap. Future studies of deep-sea larvae should choose a sampling device based on specific research goals. Limited by battery power, a plankton pump in combination with a current meter is useful for estimating horizontal advective fluxes in short-term (days to weeks) studies of larval dispersal. A sediment trap, selecting for larvae with downward trajectories, is more appropriate for studies of larval supply to the benthos. For some species, a time-series sediment trap can collect sequential larval samples for long-term studies (months to years) for correlation to larval settlement and recruitment patterns.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=O9WA-q5Sl2U:CE0fw0BEDDk:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=O9WA-q5Sl2U:CE0fw0BEDDk:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=O9WA-q5Sl2U:CE0fw0BEDDk:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[AMER SOC LIMNOLOGY OCEANOGRAPHY]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Limnology and Oceanography-Methods]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:volume><![CDATA[7]]></prism:volume> 
<prism:startingPage><![CDATA[235]]></prism:startingPage>
<prism:endingPage><![CDATA[248]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:10:41 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:54 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/O9WA-q5Sl2U/refshare</link>
<refworks:FD><![CDATA[MAR]]></refworks:FD>
<refworks:k1><![CDATA[ MID-ATLANTIC RIDGE]]></refworks:k1>
<refworks:k1><![CDATA[ INVERTEBRATE LARVAE]]></refworks:k1>
<refworks:k1><![CDATA[ PARTICLE-FLUX]]></refworks:k1>
<refworks:k1><![CDATA[ IN-SITU]]></refworks:k1>
<refworks:k1><![CDATA[ DISPERSAL]]></refworks:k1>
<refworks:k1><![CDATA[ BOTTOM]]></refworks:k1>
<refworks:k1><![CDATA[ BEHAVIOR]]></refworks:k1>
<refworks:k1><![CDATA[ IDENTIFICATION]]></refworks:k1>
<refworks:k1><![CDATA[ SETTLEMENT]]></refworks:k1>
<refworks:k1><![CDATA[ EFFICIENCY]]></refworks:k1>
<refworks:k1><![CDATA[ Limnology]]></refworks:k1>
<refworks:k1><![CDATA[ Oceanography]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 41; TC: 0; J9: LIMNOL OCEANOGR-METHODS; PG: 14; GA: 432YX]]></refworks:no>
<refworks:pp><![CDATA[WACO; 5400 BOSQUE BLVD, STE 680, WACO, TX 76710-4446 USA]]></refworks:pp>
<refworks:sn><![CDATA[1541-5856]]></refworks:sn>
<refworks:ad><![CDATA[[Beaulieu, Stace E.; Mullineaux, Lauren S.; Mills, Susan W.] Woods Hole Oceanog Inst, Dept Biol, Woods Hole, MA 02543 USA. [Adams, Diane K.] Natl Inst Dent & Craniofacial Res, NIH, Bethesda, MD USA.; Beaulieu, SE, Woods Hole Oceanog Inst, Dept Biol, Woods Hole, MA 02543 USA.; stace@whoi.edu]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:id><![CDATA[2825]]></refworks:id>
<refworks:cr><![CDATA[CR: ADAMS DK, 2007, THESIS WHOI MIT JOIN ADAMS DK, 2008, LIMNOL OCEANOGR, V530, P1945 BERDEAL IG, 2006, DEEP-SEA RES PT I, V53, P367, DOI 10.1016/j.dsr.2005.10.004 BERTNESS MD, 1992, J EXP MAR BIOL ECOL, V156, P199 BUTMAN CA, 1986, J MAR RES, V44, P601 BUTMAN CA, 1989, J EXP MAR BIOL ECOL, V134, P37 CHIA FS, 1984, CAN J ZOOL, V62, P1205 COLWELL RK, 2006, ESTIMATES STAT ESTIM COMTET T, 2000, LIMNOL OCEANOGR, V45, P1655 FERRINI VL, 2007, GEOCHEM GEOPHY GEOSY, V8, ARTN Q01006 FORBES JR, 1992, CAN J FISH AQUAT SCI, V49, P663 FUCHS HL, 2004, LIMNOL OCEANOGR, V49, P1937 GAINES SD, 1993, ECOLOGY, V74, P2430 GARDNER WD, 1997, J MAR RES, V55, P995 GARLAND ED, 2002, J MAR RES, V60, P311 HONJO S, 1988, DEEP-SEA RES, V35, P133 JOHANNSSON OE, 1992, CAN TECH REP FISH AQ, V1894 JURG B, 1996, AQUAT SCI, V58, P283 KHRIPOUNOFF A, 2001, J MAR RES, V59, P633 KHRIPOUNOFF A, 2008, DEEP-SEA RES PT I, V55, P532, DOI 10.1016/j.dsr.2008.01.001 KIM SL, 1998, DEEP-SEA RES PT II, V45, P423 KNAUER G, 1989, 10 US GOFS KRUG PJ, 2004, BIOL BULL-US, V207, P233 KUNDU PK, 1976, J PHYS OCEANOGR, V6, P238 LIU ZF, 2005, DEEP-SEA RES PT I, V52, P1324, DOI 10.1016/j.dsr.2005.02.005 MARSH AG, 2001, NATURE, V411, P77 METAXAS A, 2001, CAN J FISH AQUAT SCI, V58, P86 METAXAS A, 2004, LIMNOL OCEANOGR, V49, P1949 MILLS SW, 2007, PHOTOGRAPHIC IDENTIF MIRON G, 1995, MAR ECOL-PROG SER, V124, P301 MULLINEAUX LS, 1996, MAR BIOL, V124, P551 MULLINEAUX LS, 2005, MAR ECOL-PROG SER, V293, P1 POWLIK JJ, 1991, J PLANKTON RES, V13, P901 ROHLF FJ, 1981, STAT TABLES SHANKS AL, 1997, MAR ECOL-PROG SER, V154, P211 SOULE SA, 2008, GEOCHEM GEOPHY GEOSY, V9, P11704, ARTN Q11T04 TODD CD, 2006, J EXP MAR BIOL ECOL, V332, P135, DOI 10.1016/j.jembe.2005.11.013 TOLSTOY M, 2006, SCIENCE, V314, P1920, DOI 10.1126/science.1133950 TYLER PA, 2003, HYDROBIOLOGIA, V503, P9 YU EF, 2001, DEEP-SEA RES PT I, V48, P865 YUND PO, 1991, LIMNOL OCEANOGR, V36, P1167]]></refworks:cr>
<refworks:jo><![CDATA[Limnol.Oceanogr.Meth.]]></refworks:jo>
<refworks:an><![CDATA[000265171400004]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2825</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2826">
<title><![CDATA[Biosonar adjustments to target range of echolocating bottlenose dolphins (Tursiops sp.) in the wild]]></title>
<dc:creator><![CDATA[Jensen,F. H.]]></dc:creator>
<dc:creator><![CDATA[ Bejder,L.]]></dc:creator>
<dc:creator><![CDATA[ Wahlberg,M.]]></dc:creator>
<dc:creator><![CDATA[ Madsen,P. T.]]></dc:creator>
<description>Toothed whales use echolocation to locate and track prey. Most knowledge of toothed whale echolocation stems from studies on trained animals, and little is known about how toothed whales regulate and use their biosonar systems in the wild. Recent research suggests that an automatic gain control mechanism in delphinid biosonars adjusts the biosonar output to the one-way transmission loss to the target, possibly a consequence of pneumatic restrictions in how fast the sound generator can be actuated and still maintain high outputs. This study examines the relationships between target range (R), click intervals, and source levels of wild bottlenose dolphins (Tursiops sp.) by recording regular (non-buzz) echolocation clicks with a linear hydrophone array. Dolphins clicked faster with decreasing distance to the array, reflecting a decreasing delay between the outgoing echolocation click and the returning array echo. However, for interclick intervals longer than 30-40 ms, source levels were not limited by the repetition rate. Thus, pneumatic constraints in the sound-production apparatus cannot account for source level adjustments to range as a possible automatic gain control mechanism for target ranges longer than a few body lengths of the dolphin. Source level estimates drop with reducing range between the echolocating dolphins and the target as a function of 17 log(R). This may indicate either (1) an active form of time-varying gain in the biosonar independent of click intervals or (2) a bias in array recordings towards a 20 log(R) relationship for apparent source levels introduced by a threshold on received click levels included in the analysis.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=L1afPaSfSbs:FV2BuS59GgU:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=L1afPaSfSbs:FV2BuS59GgU:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=L1afPaSfSbs:FV2BuS59GgU:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[COMPANY OF BIOLOGISTS LTD]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Journal of Experimental Biology]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[8]]></prism:number>
<prism:volume><![CDATA[212]]></prism:volume> 
<prism:startingPage><![CDATA[1078]]></prism:startingPage>
<prism:endingPage><![CDATA[1086]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:10:41 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:54 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/L1afPaSfSbs/refshare</link>
<refworks:FD><![CDATA[APR 15]]></refworks:FD>
<refworks:k1><![CDATA[ Tursiops]]></refworks:k1>
<refworks:k1><![CDATA[ dolphin]]></refworks:k1>
<refworks:k1><![CDATA[ echolocation]]></refworks:k1>
<refworks:k1><![CDATA[ biosonar]]></refworks:k1>
<refworks:k1><![CDATA[ sound production]]></refworks:k1>
<refworks:k1><![CDATA[ automatic gain control]]></refworks:k1>
<refworks:k1><![CDATA[ AUTOMATIC GAIN-CONTROL]]></refworks:k1>
<refworks:k1><![CDATA[ ECHO-INTENSITY COMPENSATION]]></refworks:k1>
<refworks:k1><![CDATA[ EPTESICUS-FUSCUS]]></refworks:k1>
<refworks:k1><![CDATA[ MESOPLODON-DENSIROSTRIS]]></refworks:k1>
<refworks:k1><![CDATA[ PHOCOENA-PHOCOENA]]></refworks:k1>
<refworks:k1><![CDATA[ HARBOR PORPOISES]]></refworks:k1>
<refworks:k1><![CDATA[ AUDITORY-SYSTEM]]></refworks:k1>
<refworks:k1><![CDATA[ BATS]]></refworks:k1>
<refworks:k1><![CDATA[ SIGNALS]]></refworks:k1>
<refworks:k1><![CDATA[ WHALES]]></refworks:k1>
<refworks:k1><![CDATA[ Biology]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 40; TC: 0; J9: J EXP BIOL; PG: 9; GA: 434JJ]]></refworks:no>
<refworks:pp><![CDATA[CAMBRIDGE; BIDDER BUILDING CAMBRIDGE COMMERCIAL PARK COWLEY RD, CAMBRIDGE CB4 4DL, CAMBS, ENGLAND]]></refworks:pp>
<refworks:sn><![CDATA[0022-0949]]></refworks:sn>
<refworks:ad><![CDATA[[Jensen, F. H.; Madsen, P. T.] Aarhus Univ, Dept Biol Sci, DK-8000 Aarhus C, Denmark. [Bejder, L.; Wahlberg, M.; Madsen, P. T.] Murdoch Univ, Ctr Fish & Fisheries Res, Cetacean Res Unit, Perth, WA 6150, Australia. [Wahlberg, M.] Fjord & Baelt & Univ So Denmark, DK-5300 Kerteminde, Denmark. [Madsen, P. T.] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA.; Jensen, FH, Aarhus Univ, Dept Biol Sci, DK-8000 Aarhus C, Denmark.; Frants.Jensen@gmail.com]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.1242/jeb.025619]]></refworks:do>
<refworks:id><![CDATA[2826]]></refworks:id>
<refworks:cr><![CDATA[CR: AKAMATSU T, 2007, DEEP-SEA RES PT II, V54, P290, DOI 10.1016/j.dsr2.2006.11.006 AU WWL, 1974, J ACOUST SOC AM, V56, P1280 AU WWL, 1985, J ACOUST SOC AM, V77, P726 AU WWL, 1993, SONAR DOLPHINS AU WWL, 2003, J ACOUST SOC AM, V113, P598, DOI 10.1121/1.1518980 AU WWL, 2003, NATURE, V423, P861, DOI 10.1038/nature01727 AU WWL, 2004, ACOUST PHYS+, V50, P454 BEEDHOLM K, 2006, J ACOUST SOC AM, V119, EL41, DOI 10.1121/1.2167027 BEEDHOLM K, 2007, AQUAT MAMM, V33, P69 CRANFORD TW, 1996, J MORPHOL, V228, P223 CRANFORD TW, 2004, ECHOLOCATION BATS DO, P27 HARTLEY DJ, 1992, J ACOUST SOC AM, V91, P1120 HENSON OW, 1965, J PHYSIOL-LONDON, V180, P871 HIRYU S, 2007, J ACOUST SOC AM, V121, P1749, DOI 10.1121/1.2431337 JOHNSON M, 2008, P R SOC B, V275, P133, DOI 10.1098/rspb.2007.1190 KICK SA, 1984, J NEUROSCI, V4, P2725 KOBLER JB, 1985, HEARING RES, V20, P99 LI SH, 2006, J ACOUST SOC AM, V120, P1803, DOI 10.1121/1.2335674 MACLENNAN DN, 1992, FISHERIES ACOUSTICS MADSEN PT, 2002, J EXP BIOL, V205, P1899 MADSEN PT, 2004, J EXP BIOL, V207, P1811, DOI 10.1242/jeb.00966 MADSEN PT, 2005, J EXP BIOL, V208, P181, DOI 10.1242/jeb.01327 MADSEN PT, 2007, DEEP-SEA RES PT I, V54, P1421, DOI 10.1016/j.dsr.2007.04.020 MOHL B, 2000, J ACOUST SOC AM, V107, P638 MOSS CF, 2006, PLOS BIOL, V4, P615, ARTN E79 NACHTIGALL PE, 2008, J EXP BIOL, V211, P1714, DOI 10.1242/jeb.013862 RASMUSSEN MH, 2002, J ACOUST SOC AM, V111, P1122 RIDGWAY SH, 1980, ANIMAL SONAR SYSTEMS, P483 RIDGWAY SH, 1988, ANIMAL SONAR PROCESS, P53 SIMMONS JA, 1992, J ACOUST SOC AM, V91, P1150 SPIESBERGER JL, 1990, AM NAT, V135, P107 SUGA N, 1975, J EXP BIOL, V62, P277 SUPIN AY, 2004, J ACOUST SOC AM, V115, P3218, DOI 10.1121/1.1707088d SUPIN AY, 2008, J ACOUST SOC AM, V124, P648, DOI 10.1121/1.2918544 SURLYKKE A, 2000, J ACOUST SOC AM 1, V108, P2419 TEILMANN J, 2002, AQUATIC MAMMALS, V28, P275 TURL CW, 1989, J ACOUST SOC AM, V86, P497 URICK RJ, 1983, PRINCIPLES UNDERWATE VILLADSGAARD A, 2007, J EXP BIOL, V210, P56, DOI 10.1242/jeb.02618 WAHLBERG M, 2001, J ACOUST SOC AM, V109, P397]]></refworks:cr>
<refworks:jo><![CDATA[J.Exp.Biol.]]></refworks:jo>
<refworks:an><![CDATA[000265270700006]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2826</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2828">
<title><![CDATA[Kinetic constraints on acylated homoserine lactone-based quorum sensing in marine environments]]></title>
<dc:creator><![CDATA[Hmelo,Laura]]></dc:creator>
<dc:creator><![CDATA[ Van Mooy,Benjamin A. S.]]></dc:creator>
<description>Quorum sensing (QS) via acylated homoserine lactones (AHLs) was discovered in the ocean, yet AHLs are expected to be very short-lived at seawater pH due to rapid abiotic degradation. Quorum quenching, the enzymatic. degradation of AHLs, is also likely. To better understand the potential for QS to regulate behaviors of marine bacteria, we investigated the degradation of a variety of AHL molecules in several types of seawater media. We did this by incubating AHLs and tracking their concentration using HPLC/electrospray-ionization mass-spectrometry (HPLC/ESI-MS). AHL concentrations decreased with time, and degradation rate coefficients were calculated by applying a first-order rate law, The rate of abiotic degradation showed strong dependence on acyl chain length and the presence of 3-oxo substitutions on the acyl chain. We found that the rate of abiotic degradation of AHLs in artificial seawater was much slower than that predicted by an oft-cited equation for non-marine media that takes only pH into account. However, AHLs degraded more rapidly in natural seawater than in artificial seawater, an observation we found to be due to quorum quenching enzyme activity, By applying calculated degradation rates in a simple steady-state calculation, we suggest that despite the observed quorum quenching activity, AHLs are likely to be viable signals in organic particles and in other microbial 'hotpsots' in marine environments.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=-ZSGHkdnd6g:fz1cJ2LxfC8:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=-ZSGHkdnd6g:fz1cJ2LxfC8:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=-ZSGHkdnd6g:fz1cJ2LxfC8:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[INTER-RESEARCH]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Aquatic Microbial Ecology]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[2]]></prism:number>
<prism:volume><![CDATA[54]]></prism:volume> 
<prism:startingPage><![CDATA[127]]></prism:startingPage>
<prism:endingPage><![CDATA[133]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:10:41 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:54 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/-ZSGHkdnd6g/refshare</link>
<refworks:k1><![CDATA[ Quorum sensing]]></refworks:k1>
<refworks:k1><![CDATA[ Quorum quenching]]></refworks:k1>
<refworks:k1><![CDATA[ Marine bacteria]]></refworks:k1>
<refworks:k1><![CDATA[ Acylated homoserine lactone]]></refworks:k1>
<refworks:k1><![CDATA[ HPLC]]></refworks:k1>
<refworks:k1><![CDATA[ Mass spectrometry]]></refworks:k1>
<refworks:k1><![CDATA[ Degradation]]></refworks:k1>
<refworks:k1><![CDATA[ VIBRIO-FISCHERI LUMINESCENCE]]></refworks:k1>
<refworks:k1><![CDATA[ IDENTIFICATION]]></refworks:k1>
<refworks:k1><![CDATA[ AUTOINDUCER]]></refworks:k1>
<refworks:k1><![CDATA[ LUCIFERASE]]></refworks:k1>
<refworks:k1><![CDATA[ MOLECULES]]></refworks:k1>
<refworks:k1><![CDATA[ DISCOVERY]]></refworks:k1>
<refworks:k1><![CDATA[ BACTERIA]]></refworks:k1>
<refworks:k1><![CDATA[ SEAWATER]]></refworks:k1>
<refworks:k1><![CDATA[ SYSTEM]]></refworks:k1>
<refworks:k1><![CDATA[ SNOW]]></refworks:k1>
<refworks:k1><![CDATA[ Ecology]]></refworks:k1>
<refworks:k1><![CDATA[ Marine & Freshwater Biology]]></refworks:k1>
<refworks:k1><![CDATA[ Microbiology]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 23; TC: 0; J9: AQUAT MICROB ECOL; PG: 7; GA: 432TX]]></refworks:no>
<refworks:pp><![CDATA[OLDENDORF LUHE; NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY]]></refworks:pp>
<refworks:sn><![CDATA[0948-3055]]></refworks:sn>
<refworks:ad><![CDATA[[Hmelo, Laura; Van Mooy, Benjamin A. S.] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.; Van Mooy, BAS, Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.; bvanmooy@whoi.edu]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.3354/ame01261]]></refworks:do>
<refworks:id><![CDATA[2828]]></refworks:id>
<refworks:cr><![CDATA[CR: AZAM F, 2001, NATURE, V414, P495 BUCHAN A, 2005, NATURE, V432, P910 BURTON EO, 2005, APPL ENVIRON MICROB, V71, P4906, DOI 10.1128/AEM.71.8.4906-4909.2005 COFFEY JJ, 1967, J BACTERIOL, V94, P1638 DECHO AW, 2009, ENVIRON MICROBIOL, V11, P409, DOI 10.1111/j.1462-2920.2008.01780.x DELALANDE L, 2005, FEMS MICROBIOL ECOL, V52, P13, DOI 10.1016/j.femsec.2004.10.005 EBERHARD A, 1981, BIOCHEMISTRY-US, V20, P2444 GIOVANNONI S, 2000, MICROBIAL ECOLOGY OC, P47 GONZALEZ JE, 2003, MICROBIOL MOL BIOL R, V67, P574 GRAM L, 2002, APPL ENVIRON MICROB, V68, P4111, DOI 10.1128/AEM.68.8.4111-4116.2002 JOINT I, 2002, SCIENCE, V298, P1207 KAPLAN HB, 1985, J BACTERIOL, V163, P1210 KAUFMANN GF, 2005, P NATL ACAD SCI USA, V102, P309, DOI 10.1073/pnas.0408639102 MILLER MB, 2001, ANNU REV MICROBIOL, V55, P165 MILLER SD, 2005, P NATL ACAD SCI USA, V102, P14181, DOI 10.1073/pnas.0507253102 NEALSON KH, 1970, J BACTERIOL, V104, P313 SCHAEFER AL, 2000, METHOD ENZYMOL, V305, P288 SCHAEFER AL, 2002, J BACTERIOL, V184, P6515, DOI 10.1128/JB.184.23.6515-6521.2002 TAIT K, 2005, ENVIRON MICROBIOL, V7, P229, DOI 10.1111/j.1462-2920.2004.00706.x WAGNERDOBLER I, 2005, CHEMBIOCHEM, V6, P2195, DOI 10.1002/cbic.200500189 WANG YJ, 2005, APPL ENVIRON MICROB, V71, P1291, DOI 10.1128/AEM.71.3.1291-1299.2005 YATES EA, 2002, INFECT IMMUN, V70, P5635, DOI 10.1128/IAI.70.10.5635-5646.2002 ZIERVOGEL K, 2008, ENVIRON MICROBIOL, V10, P289, DOI 10.1111/j.1462-2920.2007.01451.x]]></refworks:cr>
<refworks:jo><![CDATA[Aquat.Microb.Ecol.]]></refworks:jo>
<refworks:an><![CDATA[000265158200002]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2828</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2821">
<title><![CDATA[Smallholder timber sale decisions on the Amazon frontier]]></title>
<dc:creator><![CDATA[Amacher,Gregory S.]]></dc:creator>
<dc:creator><![CDATA[ Merry,Frank D.]]></dc:creator>
<dc:creator><![CDATA[ Bowman,Maria S.]]></dc:creator>
<description>We use data from a survey of 2401 households living along the Transamazon highway to study timber sales decisions of smallholders settling in Amazon native forests. We develop an econometric approach, to study both the decision to harvest timber and the volume of timber sold, that corrects for limited access to loggers leading to possible selection bias, incomplete labor markets, and differences in property rights regimes that characterize the area. We find that, irrespective of distance to markets, smallholders, that have either been settled by INCRA or have access to credit are more likely to sell wood, but those with outside income sources are less likely to sell. Higher timber prices decrease the likelihood of timber sales. The results suggest that timber sales are viewed only as a means for smallholders to reduce immediate cash constraints. With some exceptions these results hold across property rights regimes. (c) 2008 Published by Elsevier B.V.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=jQRaBoTF7is:US54MPlTcTc:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=jQRaBoTF7is:US54MPlTcTc:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=jQRaBoTF7is:US54MPlTcTc:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[ELSEVIER SCIENCE BV]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Ecological Economics]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[6]]></prism:number>
<prism:volume><![CDATA[68]]></prism:volume> 
<prism:startingPage><![CDATA[1787]]></prism:startingPage>
<prism:endingPage><![CDATA[1796]]></prism:endingPage> 
<refworks:created><![CDATA[5/14/2009 6:10:41 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/14/2009 6:13:53 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/jQRaBoTF7is/refshare</link>
<refworks:FD><![CDATA[APR 15]]></refworks:FD>
<refworks:k1><![CDATA[ Deforestation]]></refworks:k1>
<refworks:k1><![CDATA[ Amazon]]></refworks:k1>
<refworks:k1><![CDATA[ Household model]]></refworks:k1>
<refworks:k1><![CDATA[ Smallholders]]></refworks:k1>
<refworks:k1><![CDATA[ Timber supply]]></refworks:k1>
<refworks:k1><![CDATA[ SMALL FARM COLONISTS]]></refworks:k1>
<refworks:k1><![CDATA[ HOUSEHOLD LIFE-CYCLES]]></refworks:k1>
<refworks:k1><![CDATA[ BRAZILIAN AMAZON]]></refworks:k1>
<refworks:k1><![CDATA[ FOREST]]></refworks:k1>
<refworks:k1><![CDATA[ COVER]]></refworks:k1>
<refworks:k1><![CDATA[ LAND-COVER]]></refworks:k1>
<refworks:k1><![CDATA[ DIVERSITY]]></refworks:k1>
<refworks:k1><![CDATA[ Ecology]]></refworks:k1>
<refworks:k1><![CDATA[ Economics]]></refworks:k1>
<refworks:k1><![CDATA[ Environmental Sciences]]></refworks:k1>
<refworks:k1><![CDATA[ Environmental Studies]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 23; TC: 0; J9: ECOL ECON; PG: 10; GA: 435KA]]></refworks:no>
<refworks:pp><![CDATA[AMSTERDAM; PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS]]></refworks:pp>
<refworks:sn><![CDATA[0921-8009]]></refworks:sn>
<refworks:ad><![CDATA[[Amacher, Gregory S.] Virginia Polytech Inst & State Univ, Dept Forestry, Coll Nat Resources, Blacksburg, VA 24060 USA. [Merry, Frank D.; Bowman, Maria S.] Woods Hole Res Ctr, Woods Hole, MA 02543 USA. [Merry, Frank D.] Inst Pesquisa Ambiental Amazonia, Belem, Para, Brazil.; Amacher, GS, Virginia Polytech Inst & State Univ, Dept Forestry, Coll Nat Resources, 304D Cheatham Hall, Blacksburg, VA 24060 USA.; gamacher@vt.edu]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.1016/j.ecolecon.2008.11.018]]></refworks:do>
<refworks:id><![CDATA[2821]]></refworks:id>
<refworks:cr><![CDATA[CR: ALDRICH SP, 2006, ECON GEOGR, V82, P265 ALSTON LJ, 2000, J ENVIRON ECON MANAG, V39, P162 AMACHER GS, 1996, WORLD DEV, V24, P1725 BARDHAN P, 1999, DEV MICROECONOMICS BOWMAN MS, 2008, ECOL ECON, V67, P117, DOI 10.1016/j.ecolecon.2007.12.003 CAVIGLIAHARRIS JL, 2004, ENVIRON DEV ECON 2, V9, P181, DOI 10.1017/S1355770X03001165 GREEN W, 2002, ECONOMETRIC ANAL JACOBY HG, 1993, REV ECON STUD, V60, P903 LIMA E, 2006, ENVIRONMENT, V48, P26 MACQUEEN DJ, 2004, FOREST ETHICS ROLE E MACQUEEN DJ, 2005, MAKE POVERTY HIST CE, P79 MADALLA G, 1983, LTD DEPENDENT QUALIT MERRY F, 2006, INT FOREST REV, V8, P211 MERRY F, 2006, INT J SUSTAIN DEV, V9, P277 NEPSTAD D, 2004, CONSERV BIOL, V18, P1 PATTANAYAK SK, 2001, LAND ECON, V77, P595 PENDLETON LH, 2002, LAND ECON, V78, P1 PERZ SG, 2002, WORLD DEV, V30, P1009 PERZ SG, 2004, WORLD DEV, V32, P957, DOI 10.1016/j.worlddev.2003.10.012 PERZ SGL, 2005, J DEV STUD, V41, P1193, DOI 10.1080/00220380500170899 SILLS E, 2003, FORESTS MARKET EC, CH15 SINGH I, 1986, AGR HOUSEHOLD MODELS WALKER R, 2002, INT REGIONAL SCI REV, V25, P169]]></refworks:cr>
<refworks:jo><![CDATA[Ecol.Econ.]]></refworks:jo>
<refworks:an><![CDATA[000265341600024]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2821</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2777">
<title><![CDATA[Mixotrophy: a widespread and important ecological strategy for planktonic and sea-ice nanoflagellates in the Ross Sea, Antarctica]]></title>
<dc:creator><![CDATA[Moorthi,Stefanie]]></dc:creator>
<dc:creator><![CDATA[ Caron,David A.]]></dc:creator>
<dc:creator><![CDATA[ Gast,Rebecca J.]]></dc:creator>
<dc:creator><![CDATA[ Sanders,Robert W.]]></dc:creator>
<description>Mixotrophic nanoflagellates (MNF) were quantified in plankton and sea ice of the Ross Sea, Antarctica, during austral spring. Tracer experiments using fluorescently labeled bacteria (FLB) were conducted to enumerate MNF and determine their contribution to total chloroplastidic and total bacterivorous nanoflagellates. Absolute abundances of MNF were typically &lt;200 ml(-1) in plankton assemblages south of the Polar Front, but they comprised 8 to 42% and 3 to 25% of bacterivorous nanoflagellates in the water column and ice cores, respectively. Moreover, they represented up to 10% of all chloroplastidic nanoflagellates in the water column when the prymnesiophyte Phaeocystis antarctica was blooming (up to 23% if P. antarctica, which did not ingest FLB, was excluded from calculations). In ice cores, MNF comprised 5 to 10% of chloroplastidic nanoflagellates. The highest proportions of MNF were found in some surface water samples and in plankton assemblages beneath ice, suggesting a potentially large effect as bacterial grazers in those locations. This study is the first to report abundances and distributions of mixotrophic flagellates in the Southern Ocean. The presence of MNF in every ice and water sample examined suggests that mixotrophy is an important alternative dietary strategy in this region.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=bqh-dxGxBnY:f7EpNpK_AW4:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=bqh-dxGxBnY:f7EpNpK_AW4:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=bqh-dxGxBnY:f7EpNpK_AW4:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[INTER-RESEARCH]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Aquatic Microbial Ecology]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[3]]></prism:number>
<prism:volume><![CDATA[54]]></prism:volume> 
<prism:startingPage><![CDATA[269]]></prism:startingPage>
<prism:endingPage><![CDATA[277]]></prism:endingPage> 
<refworks:created><![CDATA[4/28/2009 3:36:58 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:34 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/bqh-dxGxBnY/refshare</link>
<refworks:k1><![CDATA[ Ross Sea]]></refworks:k1>
<refworks:k1><![CDATA[ Antarctica]]></refworks:k1>
<refworks:k1><![CDATA[ Mixotrophy]]></refworks:k1>
<refworks:k1><![CDATA[ Mixotrophic nanoflagellates]]></refworks:k1>
<refworks:k1><![CDATA[ Bacterivory]]></refworks:k1>
<refworks:k1><![CDATA[ Plankton]]></refworks:k1>
<refworks:k1><![CDATA[ Sea ice]]></refworks:k1>
<refworks:k1><![CDATA[ Fluorescently labeled bacteria]]></refworks:k1>
<refworks:k1><![CDATA[ NUTRIENT LIMITATION]]></refworks:k1>
<refworks:k1><![CDATA[ SOUTHERN-OCEAN]]></refworks:k1>
<refworks:k1><![CDATA[ PHYTOPLANKTON]]></refworks:k1>
<refworks:k1><![CDATA[ PHAGOTROPHY]]></refworks:k1>
<refworks:k1><![CDATA[ MARINE]]></refworks:k1>
<refworks:k1><![CDATA[ ALGAE]]></refworks:k1>
<refworks:k1><![CDATA[ CHRYSOPHYTE]]></refworks:k1>
<refworks:k1><![CDATA[ BIOMASS]]></refworks:k1>
<refworks:k1><![CDATA[ PHOTOSYNTHESIS]]></refworks:k1>
<refworks:k1><![CDATA[ Ecology]]></refworks:k1>
<refworks:k1><![CDATA[ Marine & Freshwater Biology]]></refworks:k1>
<refworks:k1><![CDATA[ Microbiology]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 39; TC: 0; J9: AQUAT MICROB ECOL; PG: 9; GA: 428AC]]></refworks:no>
<refworks:pp><![CDATA[OLDENDORF LUHE; NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY]]></refworks:pp>
<refworks:sn><![CDATA[0948-3055]]></refworks:sn>
<refworks:ad><![CDATA[[Sanders, Robert W.] Temple Univ, Dept Biol, Philadelphia, PA 19122 USA. [Moorthi, Stefanie; Caron, David A.] Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA. [Gast, Rebecca J.] Woods Hole Oceanog Inst, Dept Biol, Woods Hole, MA 02543 USA.; Moorthi, S, Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm ICBM Terramare, D-26382 Wilhelmshaven, Germany.; moorthi@icbm.de]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.3354/ame01276]]></refworks:do>
<refworks:id><![CDATA[2777]]></refworks:id>
<refworks:cr><![CDATA[CR: BECQUEVORT S, 1997, DEEP-SEA RES PT II, V44, P355 BECQUEVORT S, 2000, POLAR BIOL, V23, P309 BELL EM, 2003, J PHYCOL, V39, P644 BERNINGER UG, 1992, FRESHWATER BIOL, V28, P263 BIRD DF, 1986, SCIENCE, V231, P493 BIRD DF, 1987, LIMNOL OCEANOGR, V32, P277 CARON DA, 1993, MICROBIAL ECOL, V25, P93 CARON DA, 2000, MICROBIAL ECOLOGY OC, P495 DENNETT MR, 2001, DEEP-SEA RES PT II, V48, P4019 GAST RJ, 2006, J PHYCOL, V42, P233, DOI 10.1111/j.1529-8817.2006.00183.x GUSTAFSON DE, 2000, NATURE, V405, P1049 HAMMER AC, 2005, ICES J MAR SCI, V62, P833, DOI 10.1016/j.icesjms.2005.03.001 HANSEN PJ, 2000, MAR ECOL-PROG SER, V201, P137 HAVSKUM H, 1996, MAR ECOL-PROG SER, V137, P251 JONES RI, 2000, FRESHWATER BIOL, V45, P219 LEAKEY RJG, 1996, MAR ECOL-PROG SER, V142, P3 MARANGER R, 1998, NATURE, V396, P248 MARSHALL W, 2002, FRESHWATER BIOL, V47, P2060 MARTIN JH, 1990, GLOBAL BIOGEOCHEM CY, V4, P5 NYGAARD K, 1993, LIMNOL OCEANOGR, V38, P273 PALMISANO AC, 1993, ANTARCTIC MICROBIOLO, P167 PALSSON C, 2004, J PLANKTON RES, V26, P1005, DOI 10.1093/plankt/fbh089 PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943 QING Z, 2003, ACTA OCEANOL SIN, V22, P233 RAVEN JA, 1997, LIMNOL OCEANOGR, V42, P198 ROTHHAUPT KO, 1996, ECOLOGY, V77, P716 SANDERS RW, 1988, ADV MICROB ECOL, V10, P167 SANDERS RW, 1989, LIMNOL OCEANOGR, V34, P673 SANDERS RW, 1990, MICROBIAL ECOL, V19, P97 SANDERS RW, 1991, J PROTOZOOL, V38, P76 SANDERS RW, 2000, MAR ECOL-PROG SER, V192, P103 SHERR BF, 1993, HDB METHODS AQUATIC, P695 SIMENGANDO T, 1997, J MARINE SYST, V11, P149 SMITH WO, 2000, DEEP-SEA RES PT II, V47, P3119 STICKNEY HL, 2000, ECOL MODEL, V125, P203 SULLIVAN CW, 1982, ANTARCT J US, V17, P155 THOMAS DN, 2002, SCIENCE, V295, P641 VAQUE D, 2004, AQUAT MICROB ECOL, V36, P41 ZUBKOV MV, 2008, NATURE, V455, P224, DOI 10.1038/nature07236]]></refworks:cr>
<refworks:jo><![CDATA[Aquat.Microb.Ecol.]]></refworks:jo>
<refworks:an><![CDATA[000264819200005]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2777</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2781">
<title><![CDATA[Serendipity]]></title>
<dc:creator><![CDATA[Sussman,Raquel]]></dc:creator>
<dc:date><![CDATA[2009]]></dc:date>
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[16]]></prism:number>
<prism:volume><![CDATA[284]]></prism:volume> 
<prism:startingPage><![CDATA[10285]]></prism:startingPage>
<prism:endingPage><![CDATA[10290]]></prism:endingPage> 
<refworks:created><![CDATA[4/28/2009 3:38:03 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:34 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/Mul2u6oAkKg/refshare</link>
<refworks:FD><![CDATA[04/17]]></refworks:FD>
<refworks:no><![CDATA[ID: 14120; JF: J. Biol. Chem.; M3: 10.1074/jbc.X800013200]]></refworks:no>
<refworks:lk><![CDATA[http://www.jbc.org]]></refworks:lk>
<refworks:id><![CDATA[2781]]></refworks:id>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><description>&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=Mul2u6oAkKg:Edhem69kKiw:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=Mul2u6oAkKg:Edhem69kKiw:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=Mul2u6oAkKg:Edhem69kKiw:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2781</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2767">
<title><![CDATA[Comparative Marine Ecosystem Analysis: Applications, Opportunities, and Lessons Learned]]></title>
<dc:creator><![CDATA[Megrey,Bernard A.]]></dc:creator>
<dc:creator><![CDATA[ Link,Jason S.]]></dc:creator>
<dc:creator><![CDATA[ Hunt Jr.,George L.]]></dc:creator>
<dc:creator><![CDATA[ Moksness,Erlend]]></dc:creator>
<description>The papers in this special issue seek to evaluate how ecosystem structure and function interact to support fisheries production, and what processes amplify or dampen spatial and temporal variation in that production within and between ecosystems. This paper attempts to assess the contribution of marine comparative ecosystem analysis to knowledge of the factors that affect the structure and function of marine ecosystems. We introduce the reader to the special volume, briefly highlighting the manuscripts in this special issue as organized by various thematic emphases. Papers in this volume are reviewed and briefly summarized with respect to current approaches, applications, opportunities, and lessons learned. Several approaches, applied to ecosystems over different spatial and temporal periods as well as the application of innovative statistical methods, facilitated comparisons and revealed basic underlying patterns that would not have been observable if only one ecosystem had been examined.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=fHwJHzbQ7zQ:DEINAqG_PUs:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=fHwJHzbQ7zQ:DEINAqG_PUs:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=fHwJHzbQ7zQ:DEINAqG_PUs:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Progress in Oceanography]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:volume><![CDATA[In Press, Accepted Manuscript]]></prism:volume> 
<refworks:created><![CDATA[4/28/2009 2:55:07 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:33 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/fHwJHzbQ7zQ/refshare</link>
<refworks:k1><![CDATA[ Ecosystem]]></refworks:k1>
<refworks:k1><![CDATA[ ecosystem comparison]]></refworks:k1>
<refworks:sn><![CDATA[0079-6611]]></refworks:sn>
<refworks:do><![CDATA[DOI: 10.1016/j.pocean.2009.04.002]]></refworks:do>
<refworks:id><![CDATA[2767]]></refworks:id>
<refworks:ul><![CDATA[http://www.sciencedirect.com/science/article/B6V7B-4W1BV49-1/2/40ede9d85f154ac00db78311746ff544]]></refworks:ul>
<refworks:jo><![CDATA[Prog.Oceanogr.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2767</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2768">
<title><![CDATA[A cross-ecosystem comparison of spatial and temporal patterns of covariation in the recruitment of functionally analogous fish stocks]]></title>
<dc:creator><![CDATA[Megrey,Bernard A.]]></dc:creator>
<dc:creator><![CDATA[ Hare,Jonathan A.]]></dc:creator>
<dc:creator><![CDATA[ Stockhausen,William T.]]></dc:creator>
<dc:creator><![CDATA[ Dommasnes,Are]]></dc:creator>
<dc:creator><![CDATA[ Gjøsæter,Harald]]></dc:creator>
<dc:creator><![CDATA[ Overholtz,William]]></dc:creator>
<dc:creator><![CDATA[ Gaichas,Sarah]]></dc:creator>
<dc:creator><![CDATA[ Skaret,Georg]]></dc:creator>
<dc:creator><![CDATA[ Falk-Petersen,Jannike]]></dc:creator>
<dc:creator><![CDATA[ Link,Jason S.]]></dc:creator>
<dc:creator><![CDATA[ Friedland,Kevin D.]]></dc:creator>
<description>Temporal and spatial patterns of recruitment (R) and spawning stock biomass (S) variability were compared among functionally analogous species and similar feeding guilds from six marine ecosystems. Data were aggregated into four regions including the Gulf of Maine/Georges Bank, the Norwegian/Barents Seas, and the eastern Bering Sea and the Gulf of Alaska. Variability was characterized by calculating coefficients of variation and anomalies for three response variables: ln(R), ln(R/S) and stock-recruit model residuals. Patterns of synchrony and asynchrony in the response variables were examined among and between ecosystems, between-and within-ocean basins and among functionally analogous species groups using pair-wise correlation analysis corrected for within time series autocorrelation, multivariate cross-correlation analyses and regime shift detectors. Time series trends in response variables showed consistent within basin similarities and consistent and coherent differences between the Atlantic and Pacific basin ecosystems. Regime shift detection algorithms identified two broad-scale regime shift time periods for the pelagic feeding guild (1972–1976 and 1999–2002) and possibly one for the benthic feeding guild (1999–2002). No spatial patterns in response variable coefficients of variation were observed. Results from multivariate cross-correlation analysis showed similar trends. The data suggest common external factors act in synchrony on stocks within ocean basins but temporal stock patterns, often of the same species or functional group, between basins change in opposition to each other. Basin-scale results (similar within but different between) suggest that the two geographically broad areas are connected by unknown mechanisms that, depending on the year, may influence the two basins in opposite ways. This work demonstrates that commonalities and synchronies in recruitment fluctuations can be found across geographically distant ecosystems but biophysical causes of the fluctuations remain difficult to identify.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=5TVkFJAwodg:grL5s8WyJmA:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=5TVkFJAwodg:grL5s8WyJmA:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=5TVkFJAwodg:grL5s8WyJmA:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Progress in Oceanography]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:volume><![CDATA[In Press, Accepted Manuscript]]></prism:volume> 
<refworks:created><![CDATA[4/28/2009 2:55:07 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:33 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/5TVkFJAwodg/refshare</link>
<refworks:k1><![CDATA[ Ecosystem]]></refworks:k1>
<refworks:k1><![CDATA[ Ecosystem comparison]]></refworks:k1>
<refworks:k1><![CDATA[ Recruitment]]></refworks:k1>
<refworks:k1><![CDATA[ Spatial covariation]]></refworks:k1>
<refworks:k1><![CDATA[ Temporal covariation]]></refworks:k1>
<refworks:k1><![CDATA[ Teleconnections]]></refworks:k1>
<refworks:sn><![CDATA[0079-6611]]></refworks:sn>
<refworks:do><![CDATA[DOI: 10.1016/j.pocean.2009.04.006]]></refworks:do>
<refworks:id><![CDATA[2768]]></refworks:id>
<refworks:ul><![CDATA[http://www.sciencedirect.com/science/article/B6V7B-4W1BV49-3/2/49c47e7da1380022e2dee0314b1fafa5]]></refworks:ul>
<refworks:jo><![CDATA[Prog.Oceanogr.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2768</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2770">
<title><![CDATA[A comparison of biological trends from four marine ecosystems: synchronies, differences, and commonalities]]></title>
<dc:creator><![CDATA[Link,Jason S.]]></dc:creator>
<dc:creator><![CDATA[ Stockhausen,William T.]]></dc:creator>
<dc:creator><![CDATA[ Skaret,Georg]]></dc:creator>
<dc:creator><![CDATA[ Overholtz,William]]></dc:creator>
<dc:creator><![CDATA[ Megrey,Bernard A.]]></dc:creator>
<dc:creator><![CDATA[ Gjøsæter,Harald]]></dc:creator>
<dc:creator><![CDATA[ Gaichas,Sarah]]></dc:creator>
<dc:creator><![CDATA[ Dommasnes,Are]]></dc:creator>
<dc:creator><![CDATA[ Falk-Petersen,Jannike]]></dc:creator>
<dc:creator><![CDATA[ Kane,Joseph]]></dc:creator>
<dc:creator><![CDATA[ Mueter,Franz J.]]></dc:creator>
<dc:creator><![CDATA[ Friedland,Kevin D.]]></dc:creator>
<dc:creator><![CDATA[ Hare,Jonathan A.]]></dc:creator>
<description>Major features of four marine ecosystems were analyzed based on a broad range of fisheries-associated datasets and a suite of oceanographic surveys. The ecosystems analyzed included the Gulf of Maine/Georges Bank in the Northwest Atlantic Ocean, the Norwegian/Barents Seas in the Northeast Atlantic Ocean, and the eastern Bering Sea and the Gulf of Alaska in the Northeast Pacific Ocean. We examined survey trends in major fish abundances, total system fish biomass, and zooplankton biomasses. We standardized each time series and examined trends and anomalies over time, using both time series and cross-correlational statistical methods. We compared dynamics of functionally analogous species from each of these four ecosystems. Major commonalities among ecosystems included a relatively stable amount of total fish biomass and the importance of large calanoid copepods, small pelagic fishes and gadids. Some of the changes in these components were synchronous across ecosystems. Major differences between ecosystems included gradients in the magnitude of total fish biomass, commercial fish biomass, and the timing of major detected events. This work demonstrates the value of comparative analysis across a wide range of marine ecosystems, suggestive of very few but none-the-less detectable common features across all northern hemisphere ocean systems.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=B6h-t-wCLGo:ok-UVV3wX20:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=B6h-t-wCLGo:ok-UVV3wX20:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=B6h-t-wCLGo:ok-UVV3wX20:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Progress in Oceanography]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:volume><![CDATA[In Press, Accepted Manuscript]]></prism:volume> 
<refworks:created><![CDATA[4/28/2009 2:55:07 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:33 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/B6h-t-wCLGo/refshare</link>
<refworks:k1><![CDATA[ Ecosystem comparisons]]></refworks:k1>
<refworks:k1><![CDATA[ biological communities]]></refworks:k1>
<refworks:k1><![CDATA[ time series analysis]]></refworks:k1>
<refworks:k1><![CDATA[ cross-correlations]]></refworks:k1>
<refworks:k1><![CDATA[ climate change]]></refworks:k1>
<refworks:k1><![CDATA[ fishery surveys]]></refworks:k1>
<refworks:k1><![CDATA[ Norwegian Sea]]></refworks:k1>
<refworks:k1><![CDATA[ Barents Sea]]></refworks:k1>
<refworks:k1><![CDATA[ Gulf of Alaska]]></refworks:k1>
<refworks:k1><![CDATA[ Bering Sea]]></refworks:k1>
<refworks:k1><![CDATA[ Gulf of Maine]]></refworks:k1>
<refworks:k1><![CDATA[ Georges Bank]]></refworks:k1>
<refworks:sn><![CDATA[0079-6611]]></refworks:sn>
<refworks:do><![CDATA[DOI: 10.1016/j.pocean.2009.04.004]]></refworks:do>
<refworks:id><![CDATA[2770]]></refworks:id>
<refworks:ul><![CDATA[http://www.sciencedirect.com/science/article/B6V7B-4W1BV49-7/2/1915a152ef6c0ba5d908b22549859d0c]]></refworks:ul>
<refworks:jo><![CDATA[Prog.Oceanogr.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2770</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2773">
<title><![CDATA[Individual, temporal, and population-level variations in circulating 11-ketotestosterone and 17 beta-estradiol concentrations in the oyster toadfish Opsanus tau]]></title>
<dc:creator><![CDATA[Maruska,Karen P.]]></dc:creator>
<dc:creator><![CDATA[ Korzan,Wayne J.]]></dc:creator>
<dc:creator><![CDATA[ Mensinger,Allen F.]]></dc:creator>
<description>Sex steroid hormones are important for reproduction in all vertebrates, but few studies examine inter-individual, temporal, and population-level variations, as well as environmental influences on circulating steroid levels within the same species. In this study we analyzed plasma 11-ketotoestosterone (11-KT) and 17 beta-estradiol (E-2) levels in the oyster toadfish to test for 1) individual and temporal variations by serially sampling the same individuals during the reproductive and post-reproductive period, 2) variations in steroid levels among toadfish obtained from different sources or maintained under different holding conditions, and 3) correlations with environmental parameters. Results from serial sampling showed marked inter-individual variations in male 11-KT levels in two separate groups of toadfish, but no temporal differences from June to September. Females also showed inter-individual variations in E-2 concentrations, but most had elevated levels late in the reproductive season coincident with oocyte growth prior to winter quiescence. E-2 concentration, but not 11-KT, was positively correlated with water temperature, and negatively correlated with daylength and lunar phase. Maricultured toadfish held under constant conditions had elevated levels of E-2 and 11-KT that should be considered when using these fish for experimentation. This study provides important comparative information on the relationship between individual variations in steroid levels, and how they relate to physiological and environmental correlates in a model marine teleost. (C) 2009 Elsevier Inc. All rights reserved.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=hLr0bwebiP4:arq85YVp8pU:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=hLr0bwebiP4:arq85YVp8pU:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=hLr0bwebiP4:arq85YVp8pU:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[ELSEVIER SCIENCE INC]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Comparative Biochemistry and Physiology A-Molecular & Integrative Physiology]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[4]]></prism:number>
<prism:volume><![CDATA[152]]></prism:volume> 
<prism:startingPage><![CDATA[569]]></prism:startingPage>
<prism:endingPage><![CDATA[578]]></prism:endingPage> 
<refworks:created><![CDATA[4/28/2009 3:36:57 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:33 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/hLr0bwebiP4/refshare</link>
<refworks:FD><![CDATA[APR]]></refworks:FD>
<refworks:k1><![CDATA[ 11-KT]]></refworks:k1>
<refworks:k1><![CDATA[ Androgen]]></refworks:k1>
<refworks:k1><![CDATA[ Estrogen]]></refworks:k1>
<refworks:k1><![CDATA[ Hormone]]></refworks:k1>
<refworks:k1><![CDATA[ Individual variation]]></refworks:k1>
<refworks:k1><![CDATA[ Mariculture]]></refworks:k1>
<refworks:k1><![CDATA[ Steroid cycling]]></refworks:k1>
<refworks:k1><![CDATA[ Teleost]]></refworks:k1>
<refworks:k1><![CDATA[ STEROID-HORMONE PRODUCTION]]></refworks:k1>
<refworks:k1><![CDATA[ TESTICULAR DEVELOPMENT]]></refworks:k1>
<refworks:k1><![CDATA[ LUNAR]]></refworks:k1>
<refworks:k1><![CDATA[ SYNCHRONIZATION]]></refworks:k1>
<refworks:k1><![CDATA[ PLAINFIN MIDSHIPMAN]]></refworks:k1>
<refworks:k1><![CDATA[ OVARIAN DEVELOPMENT]]></refworks:k1>
<refworks:k1><![CDATA[ REPRODUCTIVE-CYCLE]]></refworks:k1>
<refworks:k1><![CDATA[ SEASONAL-VARIATION]]></refworks:k1>
<refworks:k1><![CDATA[ SOCIAL MODULATION]]></refworks:k1>
<refworks:k1><![CDATA[ GOLDEN]]></refworks:k1>
<refworks:k1><![CDATA[ RABBITFISH]]></refworks:k1>
<refworks:k1><![CDATA[ SEXUAL DIMORPHISM]]></refworks:k1>
<refworks:k1><![CDATA[ Biochemistry & Molecular Biology]]></refworks:k1>
<refworks:k1><![CDATA[ Physiology]]></refworks:k1>
<refworks:k1><![CDATA[ Zoology]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 62; TC: 1; J9: COMP BIOCHEM PHYSIOL PT A; PG: 10; GA: 423QS]]></refworks:no>
<refworks:pp><![CDATA[NEW YORK; 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA]]></refworks:pp>
<refworks:sn><![CDATA[1095-6433]]></refworks:sn>
<refworks:ad><![CDATA[[Korzan, Wayne J.] Stanford Univ, Dept Biol, Stanford, CA 94305 USA. [Maruska, Karen P.; Korzan, Wayne J.; Mensinger, Allen F.] Marine Biol Lab, Woods Hole, MA 02543 USA. [Korzan, Wayne J.] Univ Minnesota, Dept Biol, Duluth, MN 55812 USA.; Maruska, KP, Stanford Univ, Dept Biol, 371 Serra Mall, Stanford, CA 94305 USA.; maruska@stanford.edu]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.1016/j.cbpa.2009.01.002]]></refworks:do>
<refworks:id><![CDATA[2773]]></refworks:id>
<refworks:cr><![CDATA[CR: AVISE JC, 1987, EVOLUTION, V41, P991 BARCELLOS LJG, 2001, GEN COMP ENDOCR, V121, P325 BASS AH, 2008, SCIENCE, V321, P417, DOI 10.1126/science.1157632 BORG B, 1994, COMP BIOCHEM PHYS C, V109, P219 BRANTLEY RK, 1993, J MORPHOL, V216, P305 CORRIERO A, 2004, EUR J HISTOCHEM, V48, P413 DESJARDINS JK, 2006, BEHAV ECOL, V17, P149, DOI 10.1093/beheco/arj018 EDDSWALTON PL, 2002, MASSACHUSETTS BIOACO, V13, P153 EDDSWALTON PL, 2005, J COMP PHYSIOL A, V191, P1079, DOI 10.1007/s00359-005-0051-z EMATA AC, 1991, J EXP ZOOL, V259, P343 FAY RR, 1997, HEARING RES, V111, P1 FINE ML, 1986, EXP NEUROL, V92, P289 FINE ML, 2004, COPEIA 0505, P235 FINE ML, 2008, T AM FISH SOC, V137, P627, DOI 10.1577/T04-134.1 GARCIALOPEZ A, 2006, GEN COMP ENDOCR, V147, P343, DOI 10.1016/j.ygcen.2006.02.003 GRAY GA, 1961, ECOLOGY, V42, P274 GREELEY MS, 1988, J FISH BIOL, V33, P419 HAY AC, 2005, MAR FRESHW BEHAV PHY, V38, P127, DOI 10.1080/10236240500125528 HOFFMAN RA, 1963, CHESAPEAKE SCI, V4, P21 JUKOSKY JA, 2008, AQUAT TOXICOL, V86, P323, DOI 10.1016/j.aquatox.2007.11.012 KEMPENAERS B, 2008, PHILOS T R SOC B, V363, P1711, DOI 10.1098/rstb.2007.0001 KIME DE, 1993, REV FISH BIOL FISHER, V3, P160 KNAPP R, 1999, HORM BEHAV, V35, P81 LEE JSF, 2005, HORM BEHAV, V47, P523, DOI 10.1016/j.yhbeh.2005.01.003 LEE WK, 2002, AQUACULTURE, V207, P169 MARUSKA KP, BIOL FISH IN PRESS, DOI 10.1007/S10641-009-9446-Y MENSINGER AF, 1997, J COMP NEUROL, V384, P71 MENSINGER AF, 2000, J NEUROPHYSIOL, V83, P611 MENSINGER AF, 2001, BIOL BULL, V201, P282 MENSINGER AF, 2003, N AM J AQUACULT, V65, P289 MITCHELL S, 2008, ANIM BEHAV 3, V76, P1011, DOI 10.1016/j.anbehav.2008.03.024 MODESTO T, 2003, GEN COMP ENDOCR, V131, P220, DOI 10.1016/S0016-6480(03)00027-3 NAGAHAMA Y, 1994, INT J DEV BIOL, V38, P217 OLIVEIRA RF, 1996, HORM BEHAV, V30, P2 OLIVEIRA RF, 2001, BRAIN BEHAV EVOLUT, V58, P28 OLIVEIRA RF, 2001, HORM BEHAV, V39, P157 OLIVEIRA RF, 2002, COMP BIOCHEM PHYS B, V132, P203 ORLANDO EF, 2007, GEN COMP ENDOCR, V151, P318, DOI 10.1016/j.ygcen.2007.01.032 PALMER LM, 2005, J EXP BIOL, V208, P3441, DOI 10.1242/jeb.01766 PARIKH VN, 2006, BEHAV BRAIN RES, V166, P291, DOI 10.1016/j.bbr.2005.07.011 RABBITT RD, 2001, ANN NY ACAD SCI, V942, P274 RAHMAN MS, 2000, COMP BIOCHEM PHYS B, V127, P113 RAHMAN MS, 2001, COMP BIOCHEM PHYS B, V129, P367 REMAGEHEALEY L, 2005, HORM BEHAV, V47, P297, DOI 10.1016/j.yhbeh.2004.11.017 REMAGEHEALEY L, 2006, HORM BEHAV, V50, P432, DOI 10.1016/j.yhbeh.2006.05.007 REMAGEHEALEY L, 2007, J NEUROSCI, V27, P1114, DOI 10.1523/JNEUROSCI.4282-06.2007 ROBINSON CD, 2007, AQUAT TOXICOL, V81, P397, DOI 10.1016/j.aquatox.2006.12.020 ROME LC, 2000, J PHYSIOL-LONDON, V526, P279 ROME LC, 2006, ANNU REV PHYSIOL, V68, P193, DOI 10.1146/annurev.physiol.68.040104.105418 RYDER JA, 1886, AM NAT, V20, P77 SCOTT AP, 1980, J FISH BIOL, V17, P587 SISNEROS JA, 2003, J NEUROSCI, V23, P1049 SISNEROS JA, 2004, GEN COMP ENDOCR, V136, P101, DOI 10.1016/j.ygcen.2003.12.007 SISNEROS JA, 2004, SCIENCE, V305, P404 TAKEMURA A, 2004, FISH FISH, V5, P317 TAKEMURA A, 2004, J EXP ZOOL PART A A, V301, P844, DOI 10.1002/jez.a.105 TAYLOR MH, 1984, T AM FISH SOC, V113, P484 TRICAS TC, 2000, GEN COMP ENDOCR, V118, P209 TYLER WA, 1995, B MAR SCI, V57, P610 WANG Q, 2008, GEN COMP ENDOCR, V155, P821, DOI 10.1016/j.ygcen.2007.10.008 WILLIAMS TD, 2008, PHILOS T R SOC B, V363, P1687, DOI 10.1098/rstb.2007.0003 ZOHAR Y, 1989, FISH CULTURE WARM WA, P65]]></refworks:cr>
<refworks:jo><![CDATA[Comp.Biochem.Physiol.A-Mol.Integr.Physiol.]]></refworks:jo>
<refworks:an><![CDATA[000264511400016]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2773</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2766">
<title><![CDATA[Membrane activity of a C-reactive protein]]></title>
<dc:creator><![CDATA[Harrington,John M.]]></dc:creator>
<dc:creator><![CDATA[ Chou,Hui-Ting]]></dc:creator>
<dc:creator><![CDATA[ Gutsmann,Thomas]]></dc:creator>
<dc:creator><![CDATA[ Gelhaus,Christoph]]></dc:creator>
<dc:creator><![CDATA[ Stahlberg,Henning]]></dc:creator>
<dc:creator><![CDATA[ Leippe,Matthias]]></dc:creator>
<dc:creator><![CDATA[ Armstrong,Peter B.]]></dc:creator>
<description>C-reactive protein (CRP) from the American horseshoe crab, Limulus polyphemus, exhibits complex membrane activities. Here, we describe the behavior of protein and lipid as CRP interacts with model liposomes and bacterial membranes. Limulus C-reactive protein (L-CRP) forms extended fibrilar structures that encapsulate liposomes in the presence of Ca2+. We have observed structures consistent in size and shape with these fibers bound to the surface of Gram-negative bacteria. The membranes of Limulus CRP-treated bacteria exhibit significantly different mechano-elastic properties than those of untreated bacteria. In vitro, bilayer lipids undergo a rigidification and reorganization of small domains. We suggest that these interactions reflect the protein’s role as a primary defense molecule, functioning in the entrapment and killing of potential pathogens.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=hCzQL5iffjU:H_14CClpBdc:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=hCzQL5iffjU:H_14CClpBdc:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=hCzQL5iffjU:H_14CClpBdc:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[FEBS letters]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[6]]></prism:number>
<prism:volume><![CDATA[583]]></prism:volume> 
<prism:startingPage><![CDATA[1001]]></prism:startingPage>
<prism:endingPage><![CDATA[1005]]></prism:endingPage> 
<refworks:created><![CDATA[4/28/2009 2:49:36 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:32 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/hCzQL5iffjU/refshare</link>
<refworks:FD><![CDATA[3/18]]></refworks:FD>
<refworks:k1><![CDATA[ Agglutination]]></refworks:k1>
<refworks:k1><![CDATA[ Atomic force microscopy]]></refworks:k1>
<refworks:k1><![CDATA[ C-reactive protein]]></refworks:k1>
<refworks:k1><![CDATA[ Innate immunity]]></refworks:k1>
<refworks:k1><![CDATA[ Liposome]]></refworks:k1>
<refworks:k1><![CDATA[ Pentraxin]]></refworks:k1>
<refworks:sn><![CDATA[0014-5793]]></refworks:sn>
<refworks:do><![CDATA[DOI: 10.1016/j.febslet.2009.02.019]]></refworks:do>
<refworks:id><![CDATA[2766]]></refworks:id>
<refworks:ul><![CDATA[http://www.sciencedirect.com/science/article/B6T36-4VNH446-2/2/8f2064332ac94b2b8bf0d8c4226ff39c]]></refworks:ul>
<refworks:jo><![CDATA[FEBS Lett.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2766</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2771">
<title><![CDATA[A comparison of community and trophic structure in five marine ecosystems based on energy budgets and system metrics]]></title>
<dc:creator><![CDATA[Gaichas,Sarah]]></dc:creator>
<dc:creator><![CDATA[ Skaret,Georg]]></dc:creator>
<dc:creator><![CDATA[ Falk-Petersen,Jannike]]></dc:creator>
<dc:creator><![CDATA[ Link,Jason S.]]></dc:creator>
<dc:creator><![CDATA[ Overholtz,William]]></dc:creator>
<dc:creator><![CDATA[ Megrey,Bernard A.]]></dc:creator>
<dc:creator><![CDATA[ Gjøsæter,Harald]]></dc:creator>
<dc:creator><![CDATA[ Stockhausen,William T.]]></dc:creator>
<dc:creator><![CDATA[ Dommasnes,Are]]></dc:creator>
<dc:creator><![CDATA[ Friedland,Kevin D.]]></dc:creator>
<dc:creator><![CDATA[ Aydin,Kerim]]></dc:creator>
<description>Energy budget models for five marine ecosystems were compared to identify differences and similarities in trophic and community structure. We examined the Gulf of Maine and Georges Bank in the northwest Atlantic Ocean, the combined Norwegian/Barents Seas in the northeast Atlantic Ocean, and the eastern Bering Sea and the Gulf of Alaska in the northeast Pacific Ocean. Comparable energy budgets were constructed for each ecosystem by aggregating information for similar species groups into consistent functional groups. Several ecosystem indices (e.g., functional group production, consumption and biomass ratios, cumulative biomass, food web macrodescriptors, and network metrics) were compared for each ecosystem. The comparative approach clearly identified data gaps for each ecosystem, an important outcome of this work. Commonalities across the ecosystems included overall high primary production and energy flow at low trophic levels, high production and consumption by carnivorous zooplankton, and similar proportions of apex predator to lower trophic level biomass. Major differences included distinct biomass ratios of pelagic to demersal fish, ranging from highest in the combined Norwegian/Barents ecosystem to lowest in the Alaskan systems, and notable differences in primary production per unit area, highest in the Alaskan and Georges Bank/Gulf of Maine ecosystems, and lowest in the Norwegian ecosystems. While comparing a disparate group of organisms across a wide range of marine ecosystems is challenging, this work demonstrates that standardized metrics both elucidate properties common to marine ecosystems and identify key distinctions useful for fisheries management.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=TWCQ6jWrN7g:IGXaulZH11Y:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=TWCQ6jWrN7g:IGXaulZH11Y:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=TWCQ6jWrN7g:IGXaulZH11Y:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Progress in Oceanography]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:volume><![CDATA[In Press, Accepted Manuscript]]></prism:volume> 
<refworks:created><![CDATA[4/28/2009 2:55:07 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:32 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/TWCQ6jWrN7g/refshare</link>
<refworks:k1><![CDATA[ Ecosystem comparisons]]></refworks:k1>
<refworks:k1><![CDATA[ Energy budgets]]></refworks:k1>
<refworks:k1><![CDATA[ Food web models]]></refworks:k1>
<refworks:k1><![CDATA[ Biomass ratios]]></refworks:k1>
<refworks:k1><![CDATA[ Network metrics]]></refworks:k1>
<refworks:sn><![CDATA[0079-6611]]></refworks:sn>
<refworks:do><![CDATA[DOI: 10.1016/j.pocean.2009.04.005]]></refworks:do>
<refworks:id><![CDATA[2771]]></refworks:id>
<refworks:ul><![CDATA[http://www.sciencedirect.com/science/article/B6V7B-4W1BV49-8/2/03b6d54b3c9248ab8b464e8558dbf98e]]></refworks:ul>
<refworks:jo><![CDATA[Prog.Oceanogr.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2771</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2778">
<title><![CDATA[Functional Overlap of Microtubule Assembly Factors in Chromatin-Promoted Spindle Assembly]]></title>
<dc:creator><![CDATA[Groen,Aaron C.]]></dc:creator>
<dc:creator><![CDATA[ Maresca,Thomas J.]]></dc:creator>
<dc:creator><![CDATA[ Gatlin,Jesse C.]]></dc:creator>
<dc:creator><![CDATA[ Salmon,Edward D.]]></dc:creator>
<dc:creator><![CDATA[ Mitchison,Timothy J.]]></dc:creator>
<description>Distinct pathways from centrosomes and chromatin are thought to contribute in parallel to microtubule nucleation and stabilization during animal cell mitotic spindle assembly, but their full mechanisms are not known. We investigated the function of three proposed nucleation/stabilization factors, TPX2, {gamma}-tubulin and XMAP215, in chromatin-promoted assembly of anastral spindles in Xenopus laevis egg extract. In addition to conventional depletion-add back experiments, we tested whether factors could substitute for each other, indicative of functional redundancy. All three factors were required for microtubule polymerization and bipolar spindle assembly around chromatin beads. Depletion of TPX2 was partially rescued by the addition of excess XMAP215 or EB1, or inhibiting MCAK (a Kinesin-13). Depletion of either {gamma}-tubulin or XMAP215 was partially rescued by adding back XMAP215, but not by adding any of the other factors. These data reveal functional redundancy between specific assembly factors in the chromatin pathway, suggesting individual proteins or pathways commonly viewed to be essential may not have entirely unique functions.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=goM19FeLOdU:VcqG3zlSqvI:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=goM19FeLOdU:VcqG3zlSqvI:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=goM19FeLOdU:VcqG3zlSqvI:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<refworks:rwtype><![CDATA[Generic]]></refworks:rwtype>
<prism:startingPage><![CDATA[E09]]></prism:startingPage>
<prism:endingPage><![CDATA[01-0043; E09-01-0043]]></prism:endingPage> 
<refworks:created><![CDATA[4/28/2009 3:38:02 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:32 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/goM19FeLOdU/refshare</link>
<refworks:FD><![CDATA[04/15]]></refworks:FD>
<refworks:no><![CDATA[ID: 9262; JF: Mol. Biol. Cell; M3: 10.1091/mbc.E09-01-0043]]></refworks:no>
<refworks:lk><![CDATA[http://www.molbiolcell.org/cgi/content/abstract/E09-01-0043v1]]></refworks:lk>
<refworks:id><![CDATA[2778]]></refworks:id>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2778</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2779">
<title><![CDATA[Mapping and monitoring carbon stocks with satellite observations: a comparison of methods]]></title>
<dc:creator><![CDATA[Goetz,Scott]]></dc:creator>
<dc:creator><![CDATA[ Baccini,Alessandro]]></dc:creator>
<dc:creator><![CDATA[ Laporte,Nadine]]></dc:creator>
<dc:creator><![CDATA[ Johns,Tracy]]></dc:creator>
<dc:creator><![CDATA[ Walker,Wayne]]></dc:creator>
<dc:creator><![CDATA[ Kellndorfer,Josef]]></dc:creator>
<dc:creator><![CDATA[ Houghton,Richard]]></dc:creator>
<dc:creator><![CDATA[ Sun,Mindy]]></dc:creator>
<description>Mapping and monitoring carbon stocks in forested regions of the world, particularly the tropics, has attracted a great deal of attention in recent years as deforestation and forest degradation account for up to 30% of anthropogenic carbon emissions, and are now included in climate change negotiations. We review the potential for satellites to measure carbon stocks, specifically aboveground biomass (AGB), and provide an overview of a range of approaches that have been developed and used to map AGB across a diverse set of conditions and geographic areas. We provide a summary of types of remote sensing measurements relevant to mapping AGB, and assess the relative merits and limitations of each. We then provide an overview of traditional techniques of mapping AGB based on ascribing field measurements to vegetation or land cover type classes, and describe the merits and limitations of those relative to recent data mining algorithms used in the context of an approach based on direct utilization of remote sensing measurements, whether optical or lidar reflectance, or radar backscatter. We conclude that while satellite remote sensing has often been discounted as inadequate for the task, attempts to map AGB without satellite imagery are insufficient. Moreover, the direct remote sensing approach provided more coherent maps of AGB relative to traditional approaches. We demonstrate this with a case study focused on continental Africa and discuss the work in the context of reducing uncertainty for carbon monitoring and markets.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=gyPicLtrnZI:Et_4cIQCsQ4:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=gyPicLtrnZI:Et_4cIQCsQ4:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=gyPicLtrnZI:Et_4cIQCsQ4:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[1]]></prism:number>
<prism:volume><![CDATA[4]]></prism:volume> 
<prism:startingPage><![CDATA[2]]></prism:startingPage>
<prism:endingPage><![CDATA[2]]></prism:endingPage> 
<refworks:created><![CDATA[4/28/2009 3:38:02 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:32 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/gyPicLtrnZI/refshare</link>
<refworks:no><![CDATA[ID: 9381; JF: Carbon Balance and Management; M3: 10.1186/1750-0680-4-2]]></refworks:no>
<refworks:sn><![CDATA[1750-0680]]></refworks:sn>
<refworks:lk><![CDATA[http://www.cbmjournal.com/content/4/1/2]]></refworks:lk>
<refworks:id><![CDATA[2779]]></refworks:id>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2779</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2769">
<title><![CDATA[Recent climate forcing and physical oceanographic changes in Northern Hemisphere regions: A review and comparison of four marine ecosystems]]></title>
<dc:creator><![CDATA[Drinkwater,K. F.]]></dc:creator>
<dc:creator><![CDATA[ Mueter,F.]]></dc:creator>
<dc:creator><![CDATA[ Friedland,K.]]></dc:creator>
<dc:creator><![CDATA[ Taylor,M.]]></dc:creator>
<dc:creator><![CDATA[ Hunt,G. L.]]></dc:creator>
<dc:creator><![CDATA[ Hare,J.]]></dc:creator>
<dc:creator><![CDATA[ Melle,W.]]></dc:creator>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Progress in Oceanography]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:volume><![CDATA[In Press, Accepted Manuscript]]></prism:volume> 
<refworks:created><![CDATA[4/28/2009 2:55:07 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:31 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/KNSsItTxraE/refshare</link>
<refworks:sn><![CDATA[0079-6611]]></refworks:sn>
<refworks:do><![CDATA[DOI: 10.1016/j.pocean.2009.04.003]]></refworks:do>
<refworks:id><![CDATA[2769]]></refworks:id>
<refworks:ul><![CDATA[http://www.sciencedirect.com/science/article/B6V7B-4W1JVX6-4/2/b167e882b1127ca730a8ccbafe4ca1f7]]></refworks:ul>
<refworks:jo><![CDATA[Prog.Oceanogr.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><description>&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=KNSsItTxraE:Q8Y_wVdc8pI:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=KNSsItTxraE:Q8Y_wVdc8pI:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=KNSsItTxraE:Q8Y_wVdc8pI:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2769</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2774">
<title><![CDATA[Millennial-scale climatic variability between 340 000 and 270 000 years ago in SW Europe: evidence from a NW Iberian margin pollen sequence]]></title>
<dc:creator><![CDATA[Desprat,S.]]></dc:creator>
<dc:creator><![CDATA[ Goni,M. F. Sanchez]]></dc:creator>
<dc:creator><![CDATA[ McManus,J. F.]]></dc:creator>
<dc:creator><![CDATA[ Duprat,J.]]></dc:creator>
<dc:creator><![CDATA[ Cortijo,E.]]></dc:creator>
<description>We present a new high-resolution marine pollen record from NW Iberian margin sediments (core MD03-2697) covering the interval between 340 000 and 270 000 years ago, a time period centred on Marine Isotope Stage (MIS) 9 and characterized by particular baseline climate states. This study enables the documentation of vegetation changes in the north-western Iberian Peninsula and therefore the terrestrial climatic variability at orbital and in particular at millennial scales during MIS 9, directly on a marine stratigraphy. Suborbital vegetation changes in NW Iberia in response to cool/cold events are detected throughout the studied interval even during MIS 9e ice volume minimum. However, they appear more frequent and of higher amplitude during the 30 000 years following the MIS 9e interglacial period and during the MIS 9a-8 transition, which correspond to intervals of an intermediate to high ice volume and mainly periods of ice growth. Each suborbital cold event detected in NW Iberia has a counterpart in the Southern Iberian margin SST record. High to moderate amplitude cold episodes detected on land and in the ocean appear to be related to changes in deep water circulation and probably to iceberg discharges at least during MIS 9d, the mid-MIS 9c cold event and MIS 9b. This work provides therefore additional evidence of pervasive millennial-scale climatic variability in the North Atlantic borderlands throughout past climatic cycles of the Late Pleistocene, regardless of glacial state. However, ice volume might have an indirect influence on the amplitude of the millennial climatic changes in Southern Europe.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=PtOO5m1LSSM:Nid3zSlKDKg:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=PtOO5m1LSSM:Nid3zSlKDKg:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=PtOO5m1LSSM:Nid3zSlKDKg:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[COPERNICUS PUBLICATIONS]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Climate of the Past]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[1]]></prism:number>
<prism:volume><![CDATA[5]]></prism:volume> 
<prism:startingPage><![CDATA[53]]></prism:startingPage>
<prism:endingPage><![CDATA[72]]></prism:endingPage> 
<refworks:created><![CDATA[4/28/2009 3:36:57 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:31 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/PtOO5m1LSSM/refshare</link>
<refworks:k1><![CDATA[ SUBPOLAR NORTH-ATLANTIC]]></refworks:k1>
<refworks:k1><![CDATA[ MARINE ISOTOPE STAGE-5]]></refworks:k1>
<refworks:k1><![CDATA[ LAST GLACIAL PERIOD]]></refworks:k1>
<refworks:k1><![CDATA[ DEEP-SEA CORE]]></refworks:k1>
<refworks:k1><![CDATA[ ICE-CORE]]></refworks:k1>
<refworks:k1><![CDATA[ LATE PLEISTOCENE]]></refworks:k1>
<refworks:k1><![CDATA[ SUBTROPICAL ATLANTIC]]></refworks:k1>
<refworks:k1><![CDATA[ INTERGLACIAL WARMTH]]></refworks:k1>
<refworks:k1><![CDATA[ TEMPERATURE-CHANGES]]></refworks:k1>
<refworks:k1><![CDATA[ SOUTHERN EUROPE]]></refworks:k1>
<refworks:k1><![CDATA[ Meteorology & Atmospheric Sciences]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 89; TC: 0; J9: CLIM PAST; PG: 20; GA: 426XD]]></refworks:no>
<refworks:pp><![CDATA[KATHLENBURG-LINDAU; MAX-PLANCK-STR 13, KATHLENBURG-LINDAU, 37191, GERMANY]]></refworks:pp>
<refworks:sn><![CDATA[1814-9324]]></refworks:sn>
<refworks:ad><![CDATA[[Desprat, S.; Goni, M. F. Sanchez; Duprat, J.] Univ Bordeaux 1, EPOC, CNRS, UMR 5805,EPHE, F-33405 Talence, France. [Desprat, S.; McManus, J. F.] Woods Hole Oceanog Inst, Dept Geol & Geophys, Woods Hole, MA 02543 USA. [Cortijo, E.] LSCE Vallee, F-91198 Gif Sur Yvette, France.; Desprat, S, Univ Bordeaux 1, EPOC, CNRS, UMR 5805,EPHE, Ave Fac, F-33405 Talence, France.; sdesprat@whoi.edu]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:id><![CDATA[2774]]></refworks:id>
<refworks:cr><![CDATA[CR: *MIN OBR PUBL TRAN, 1992, ATL NAC ESP CLIM ALLEN JRM, 1999, NATURE, V400, P740 ARIZA FA, 1987, VEGETACION ESPANA AUGUSTIN L, 2004, NATURE, V429, P623, DOI 10.1038/nature02599 BERGER A, 1978, J ATMOS SCI, V35, P2362 BINTANJA R, 2005, NATURE, V437, P125, DOI 10.1038/nature03975 BOND G, 1993, NATURE, V365, P143 BOND G, 1997, SCIENCE, V278, P1257 BOND G, 2001, SCIENCE, V294, P2130 BOND GC, 1995, SCIENCE, V267, P1005 BROECKER WS, 1990, PALEOCEANOGRAPHY, V5, P469 CAME RE, 2007, GEOLOGY, V35, P315, DOI 10.1130/G23455A.1 CHAPMAN MR, 1999, GEOLOGY, V27, P795 CORTIJO E, 1994, NATURE, V372, P446 CRUCIFIX M, 2002, CLIM DYNAM, V19, P417, DOI 10.1007/s00382-002-0234-z DANSGAARD W, 1993, NATURE, V364, P218 DELMOTTE M, 2004, J GEOPHYS RES-ATMOS, V109, ARTN D12104 DESPRAT S, 2005, QUATERNARY SCI REV, V24, P1361, DOI 10.1016/j.quascirev.2005.01.005 DESPRAT S, 2005, THESIS U BORDEAUX Y DESPRAT S, 2006, QUATERNARY SCI REV, V25, P1010, DOI 10.1016/j.quascirev.2006.01.001 DESPRAT S, 2007, CLIMATE PAST INTERGL, P375 DEVERNAL A, 1996, CAHIERS GEOTOP, V3, P16 FRONVAL T, 1997, PALEOCEANOGRAPHY, V12, P443 GONI MFS, 2008, QUATERNARY SCI REV, V27, P1136 GRIMM EC, 2006, QUATERNARY SCI REV, V25, P2197, DOI 10.1016/j.quascirev.2006.04.008 GROOTES PM, 1993, NATURE, V366, P552 HEUSSER L, 1977, QUATERNARY RES, V7, P45 HEUSSER L, 2003, EARTH PLANET SC LETT, V214, P483, DOI 10.1016/S0012-821X(03)00389-3 HUBER C, 2006, EARTH PLANET SC LETT, V243, P504, DOI 10.1016/j.epsl.2006.01.002 INDERMUHLE A, 2000, GEOPHYS RES LETT, V27, P735 KAGEYAMA M, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL021339 KANDIANO ES, 2003, TERRA NOVA, V15, P265, DOI 10.1046/j.1365-3121.2003.00488.x KAWAMURA K, 2007, NATURE, V448, P912, DOI 10.1038/nature06015 KUKLA G, 1997, QUATERNARY SCI REV, V16, P605 LEA DW, 2000, SCIENCE, V289, P1719 LEA DW, 2003, SCIENCE, V301, P1361 LEHMAN SJ, 2002, QUATERNARY SCI REV, V21, P1917 MARTRAT B, 2004, SCIENCE, V306, P1762 MARTRAT B, 2007, SCIENCE, V317, P502, DOI 10.1126/science.1139994 MAYEWSKI PA, 1997, J GEOPHYS RES-OCEANS, V102, P26345 MCMANUS JF, 1994, NATURE, V371, P326 MCMANUS JF, 1999, SCIENCE, V283, P971 MCMANUS JF, 2001, DATA CONTRIBUTION SE MCMANUS JF, 2002, QUATERNARY RES, V58, P17, DOI 10.1006/qres.2002.2367 MCMANUS JF, 2004, NATURE, V428, P834, DOI 10.1038/nature02494 NAUGHTON F, 2007, MAR MICROPALEONTOL, V62, P91, DOI 10.1016/j.marmicro.2006.07.006 NAUGHTON F, 2007, THESIS U LISBON PORT OPPO D, 1997, SCIENCE, V278, P1244 OPPO DW, 1998, SCIENCE, V279, P1335 OPPO DW, 2001, PALEOCEANOGRAPHY, V16, P280 OPPO DW, 2006, QUATERNARY SCI REV, V25, P3268, DOI 10.1016/j.quascirev.2006.07.006 OZENDA P, 1982, VEGETAUX BIOSPHERE PAHNKE K, 2003, SCIENCE, V301, P948 PAILLER D, 2002, PALAEOGEOGR PALAEOCL, V181, P431 PETIT JR, 1999, NATURE, V399, P429 PFLAUMANN U, 1996, PALEOCEANOGRAPHY, V11, P15 PRELL WL, 1986, PALEOCEANOGRAPHY, V1, P137 PRENTICE IC, 1991, ECOLOGY, V72, P2038 REILLE M, 1995, QUATERNARY RES, V44, P205 REILLE M, 2000, J QUATERNARY SCI, V15, P665 ROUCOUX KH, 2005, QUATERNARY SCI REV, V24, P1637, DOI 10.1016/j.quascirev.2004.08.022 ROUCOUX KH, 2006, EARTH PLANET SC LETT, V249, P307, DOI 10.1016/j.epsl.2006.07.005 ROUSSEAU DD, 2006, QUATERNARY SCI REV, V25, P2806, DOI 10.1016/j.quascirev.2006.06.011 RUDDIMAN WF, 2006, CLIM PAST, V2, P43 RUDDIMAN WF, 2007, REV GEOPHYS, V45, ARTN RG4001 SAKAI K, 1997, J CLIMATE, V10, P949 SANCHEZGONI MF, 1999, EARTH PLANET SC LETT, V171, P123 SANCHEZGONI MF, 2000, QUATERNARY RES, V54, P394 SANCHEZGONI MF, 2005, EARTH PLANET SC LETT, V231, P111 SCHULZ M, 1999, GEOPHYS RES LETT, V26, P3385 SHACKLETON NJ, 2000, PALEOCEANOGRAPHY, V15, P565 SHACKLETON NJ, 2002, QUATERNARY RES, V58, P14, DOI 10.1006/qres.2001.2312 SIDDALL M, 2003, NATURE, V423, P853, DOI 10.1038/nature01690 SIDDALL M, 2007, PALEOCEANOGRAPHY, V22, ARTN PA1208 SIEGENTHALER U, 2005, SCIENCE, V310, P1313, DOI 10.1126/science.1120130 SKINNER LC, 2006, QUATERNARY SCI REV, V25, P3312, DOI 10.1016/j.quascirev.2006.07.005 SPAHNI R, 2005, SCIENCE, V310, P1317, DOI 10.1126/science.1120132 STIRLING CH, 2001, SCIENCE, V291, P290 TURON JL, 1984, PALYNOPLANCTON ENV A TZEDAKIS PC, 1997, EARTH PLANET SC LETT, V150, P171 TZEDAKIS PC, 2001, QUATERNARY SCI REV, V20, P1583 TZEDAKIS PC, 2003, EARTH PLANET SC LETT, V212, P197, DOI 10.1016/S0012-821X(03)00233-4 TZEDAKIS PC, 2004, GEOLOGY, V32, P109, DOI 10.1130/G20118.1 TZEDAKIS PC, 2004, SCIENCE, V306, P2231, DOI 10.1126/science.1102398 TZEDAKIS PC, 2005, QUATERNARY SCI REV, V24, P1585, DOI 10.1016/j.quascirev.2004.11.012 VIAU AE, 2002, GEOLOGY, V30, P455 WAELBROECK C, 2002, QUATERNARY SCI REV, V21, P295 WIJMSTRA TA, 1976, ACTA BOT NEERL, V25, P297 YOKOKAWA M, 2002, MAR GEOL, V189, P123]]></refworks:cr>
<refworks:jo><![CDATA[Clim.Past.]]></refworks:jo>
<refworks:an><![CDATA[000264740800005]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2774</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2775">
<title><![CDATA[Anthropogenic CO2 emissions in Africa]]></title>
<dc:creator><![CDATA[Canadell,J. G.]]></dc:creator>
<dc:creator><![CDATA[ Raupach,M. R.]]></dc:creator>
<dc:creator><![CDATA[ Houghton,R. A.]]></dc:creator>
<description>An understanding of the regional contributions and trends of anthropogenic carbon dioxide (CO2) emissions is critical to design mitigation strategies aimed at stabilizing atmospheric greenhouse gases. Here we report CO2 emissions from the combustion of fossil fuels and land use change in Africa for various time periods. Africa was responsible for an average of 500 Tg C y(-1) for the period 2000-2005. These emissions resulted from the combustion of fossil fuels (260 Tg C y(-1)) and land use change (240 Tg C y(-1)). Over this period, the African share of global emissions from land use change was 17%. For 2005, the last year reported in this study, African fossil fuel emissions were 285 Tg C accounting for 3.7% of the global emissions. The 2000-2005 growth rate in African fossil fuel emissions was 3.2% y(-1), very close to the global average. Fossil fuel emissions per capita in Africa are among the lowest in the world, at 0.32 t C y(-1) compared to the global average of 1.2 t C y(-1). The average amount of carbon (C) emitted as CO2 to produce 1 US$ of Gross Domestic Product (GDP) in Africa was 187 g C/$ in 2005, close to the world average of 199 g C/$. With the fastest population growth in the world and rising per capita GDP, Africa is likely to increase its share of global emissions over the coming decades although emissions from Africa will remain low compared to other continents.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=qsWeoM-g4Jc:MysjI8lely0:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=qsWeoM-g4Jc:MysjI8lely0:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=qsWeoM-g4Jc:MysjI8lely0:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[COPERNICUS PUBLICATIONS]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Biogeosciences]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[3]]></prism:number>
<prism:volume><![CDATA[6]]></prism:volume> 
<prism:startingPage><![CDATA[463]]></prism:startingPage>
<prism:endingPage><![CDATA[468]]></prism:endingPage> 
<refworks:created><![CDATA[4/28/2009 3:36:58 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:31 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/qsWeoM-g4Jc/refshare</link>
<refworks:k1><![CDATA[ FORESTS]]></refworks:k1>
<refworks:k1><![CDATA[ Ecology]]></refworks:k1>
<refworks:k1><![CDATA[ Geosciences, Multidisciplinary]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 16; TC: 0; J9: BIOGEOSCIENCES; PG: 6; GA: 426XN]]></refworks:no>
<refworks:pp><![CDATA[KATHLENBURG-LINDAU; MAX-PLANCK-STR 13, KATHLENBURG-LINDAU, 37191, GERMANY]]></refworks:pp>
<refworks:sn><![CDATA[1726-4170]]></refworks:sn>
<refworks:ad><![CDATA[[Canadell, J. G.; Raupach, M. R.] CSIRO Marine & Atmospher Res, Global Carbon Project, Canberra, ACT 2601, Australia. [Houghton, R. A.] Woods Hole Res Ctr, Falmouth, MA 02540 USA.; Canadell, JG, CSIRO Marine & Atmospher Res, Global Carbon Project, Canberra, ACT 2601, Australia.; pep.canadell@csiro.au]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Proceedings Paper]]></refworks:sf>
<refworks:id><![CDATA[2775]]></refworks:id>
<refworks:cr><![CDATA[CR: *FAO, 2001, 140 FAO *FAO, 2005, 124 FAO *FAO, 2006, 147 FAO *IMF, 2008, WORLD EC OUTL DAT *UNSD, 2008, DEM YB 2006 CANADELL JG, 2007, P NATL ACAD SCI USA, V104, P18866, DOI 10.1073/pnas.0702737104 CANADELL JG, 2008, SCIENCE, V320, P1456 GULLISON RE, 2007, SCIENCE, V316, P985, DOI 10.1126/science.1136163 HANSEN MC, 2008, P NATL ACAD SCI USA, V105, P9439, DOI 10.1073/pnas.0804042105 HOUGHTON RA, 2006, J GEOPHYS RES-BIOGEO, V111, P2003 HOUGHTON RA, 2007, ANNU REV EARTH PL SC, V35, P313, DOI 10.1146/annurev.earth.35.031036 KIMBLE GHT, 1962, TROPICAL AFRICA LAND, V1 LANLY JP, 2003, P 12 WORLD FOR C QUE METZ B, 2007, IPCC CLIMATE CHANGE RAUPACH MR, 2007, PNAS YAMAJI K, 1991, WORKSH CO2 RED REM M]]></refworks:cr>
<refworks:jo><![CDATA[Biogeosciences]]></refworks:jo>
<refworks:an><![CDATA[000264741800012]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2775</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2776">
<title><![CDATA[Effects of microzooplankton growth and trophic interactions on herbivory in coastal and offshore environments]]></title>
<dc:creator><![CDATA[First,Matthew R.]]></dc:creator>
<dc:creator><![CDATA[ Miller,Harlan L.,,III]]></dc:creator>
<dc:creator><![CDATA[ Lavrentyev,Peter J.]]></dc:creator>
<dc:creator><![CDATA[ Pinckney,James L.]]></dc:creator>
<dc:creator><![CDATA[ Burd,Adrian B.]]></dc:creator>
<description>We performed serial dilution experiments to estimate rates of gross phytoplankton growth (L) and grazing mortality (m) in both eutrophic (Corpus Christi Bay, Texas, USA) and oligotrophic (offshore Gulf of Mexico) waters. Two parallel experiments were performed in both environments, with seawater pre-screened through 153 or 25 Inn mesh to observe the responses of microzooplankton (MZP) to dilution treatments. MZP biomass changed over the duration of the experimental incubations; in several treatments, MZP net growth rates were &gt;1 d(-1). Patterns of growth varied between dilutions and initial screening size. In the eutrophic system, the ratio of phytoplankton grazing mortality rate to gross phytoplankton growth rate (m/mu) was 1.10 +/- 0.54 (mean +/- SD) versus 0.41 +/- 0.65 when screened through 153 and 25 pm mesh, respectively. This difference was attributed to cascading trophic interactions among MZP size groups leading to suppression of the primary herbivores in the 25 pm fraction and, in turn, a lower value of m. A food web model consisting of multiple trophic levels was constructed to examine the role of MZP growth and trophic interactions on measurements of p and m. The model, using 3 interacting groups of MZP, was able to reproduce experimental results. Model simulations demonstrated that MZP growth during incubation leads to an overestimation of m. Non-linearity in the phytoplankton growth response curves was due to MZP growth and trophic interactions in these model simulations, as variable feeding responses were not incorporated into the models. Trophic interactions among MZP can provide context to measurements of P. and m and insight into microbial food web efficiency.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=Yx5hsPvYw5s:1KPmlIb6cTU:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=Yx5hsPvYw5s:1KPmlIb6cTU:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=Yx5hsPvYw5s:1KPmlIb6cTU:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[INTER-RESEARCH]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Aquatic Microbial Ecology]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[3]]></prism:number>
<prism:volume><![CDATA[54]]></prism:volume> 
<prism:startingPage><![CDATA[255]]></prism:startingPage>
<prism:endingPage><![CDATA[267]]></prism:endingPage> 
<refworks:created><![CDATA[4/28/2009 3:36:58 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:31 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/Yx5hsPvYw5s/refshare</link>
<refworks:k1><![CDATA[ Serial dilution experiments]]></refworks:k1>
<refworks:k1><![CDATA[ Microbial food web]]></refworks:k1>
<refworks:k1><![CDATA[ Microplankton]]></refworks:k1>
<refworks:k1><![CDATA[ Food web model]]></refworks:k1>
<refworks:k1><![CDATA[ Ciliates]]></refworks:k1>
<refworks:k1><![CDATA[ Dinoflagellates]]></refworks:k1>
<refworks:k1><![CDATA[ Trophic cascades]]></refworks:k1>
<refworks:k1><![CDATA[ Zooplankton]]></refworks:k1>
<refworks:k1><![CDATA[ DILUTION GRAZING EXPERIMENTS]]></refworks:k1>
<refworks:k1><![CDATA[ MICROBIAL FOOD-WEB]]></refworks:k1>
<refworks:k1><![CDATA[ PHYTOPLANKTON GROWTH]]></refworks:k1>
<refworks:k1><![CDATA[ NORTH PACIFIC]]></refworks:k1>
<refworks:k1><![CDATA[ PROTISTS]]></refworks:k1>
<refworks:k1><![CDATA[ IMPACT]]></refworks:k1>
<refworks:k1><![CDATA[ RATES]]></refworks:k1>
<refworks:k1><![CDATA[ PREY]]></refworks:k1>
<refworks:k1><![CDATA[ PREDATION]]></refworks:k1>
<refworks:k1><![CDATA[ Ecology]]></refworks:k1>
<refworks:k1><![CDATA[ Marine & Freshwater Biology]]></refworks:k1>
<refworks:k1><![CDATA[ Microbiology]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 45; TC: 0; J9: AQUAT MICROB ECOL; PG: 13; GA: 428AC]]></refworks:no>
<refworks:pp><![CDATA[OLDENDORF LUHE; NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY]]></refworks:pp>
<refworks:sn><![CDATA[0948-3055]]></refworks:sn>
<refworks:ad><![CDATA[[Pinckney, James L.] Univ S Carolina, Marine Sci Program, Columbia, SC 29208 USA. [Pinckney, James L.] Univ S Carolina, Dept Biol Sci, Columbia, SC 29208 USA. [Lavrentyev, Peter J.] Univ Akron, Dept Biol, Akron, OH 44325 USA. [First, Matthew R.; Miller, Harlan L., III; Burd, Adrian B.] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.; First, MR, Woods Hole Oceanog Inst, Dept Geol & Geophys, Woods Hole, MA 02543 USA.; mfirst@whoi.edu]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.3354/ame01271]]></refworks:do>
<refworks:id><![CDATA[2776]]></refworks:id>
<refworks:cr><![CDATA[CR: AGIS M, 2007, J EXP MAR BIOL ECOL, V341, P176, DOI 10.1016/j.jembe.2006.09.002 BANSE K, 1982, LIMNOL OCEANOGR, V27, P1059 BOISSONNEAULTCELLINERI KR, 2001, AQUAT MICROB ECOL, V26, P139 BUSKEY EJ, 1995, MAR ECOL-PROG SER, V126, P285 CALBET A, 2001, AQUAT MICROB ECOL, V23, P283 CALBET A, 2004, LIMNOL OCEANOGR, V49, P51 CALBET A, 2005, AQUAT MICROB ECOL, V38, P157 CARRIAS JF, 2001, AQUAT MICROB ECOL, V24, P163 CHRISTOFFERSEN K, 2003, HYDROBIOLOGIA, V491, P159 DOLAN JR, 2000, FRESHWATER BIOL, V45, P227 DOLAN JR, 2000, MAR ECOL-PROG SER, V200, P127 EVANS GT, 1992, MAR ECOL-PROG SER, V80, P285 FILEMAN E, 2001, PROG OCEANOGR, V51, P361 FIRST MR, 2007, MAR BIOL, V151, P1929, DOI 10.1007/s00227-007-0629-9 GALLEGOS CL, 1989, MAR ECOL-PROG SER, V57, P23 GALLEGOS CL, 1996, NEW ZEAL J MAR FRESH, V30, P423 HANSEN B, 1994, LIMNOL OCEANOGR, V39, P395 HANSEN PJ, 1999, J EUKARYOT MICROBIOL, V46, P382 JURGENS K, 1996, LIMNOL OCEANOGR, V41, P1833 LANDRY MR, 1982, MAR BIOL, V67, P283 LANDRY MR, 1993, HDB METHODS AQUATIC, P715 LANDRY MR, 1995, MAR ECOL-PROG SER, V120, P53 LIU HB, 2005, MAR ECOL-PROG SER, V286, P133 MENDENDEUER S, 2000, LIMNOL OCEANOGR, V45, P569 MILLER HL, 2007, ECOL MODEL, V205, P365, DOI 10.1016/j.ecolmodel.2007.03.004 MOIGIS AG, 2006, MAR BIOL, V149, P743, DOI 10.1007/s00227-005-0202-3 NAUSTVOLL LJ, 2000, PHYCOLOGIA, V39, P448 OHMAN MD, 1991, LIMNOL OCEANOGR, V36, P922 PREMKE K, 2000, ARCH HYDROBIOL, V150, P17 PRESS WH, 1988, NUMERICAL RECIPES C PUTT M, 1989, LIMNOL OCEANOGR, V34, P1097 RECKERMANN M, 1997, AQUAT MICROB ECOL, V12, P263 ROSE JM, 2007, LIMNOL OCEANOGR, V52, P886 RUBLEE PA, 1989, MAR ECOL-PROG SER, V51, P221 SANDERS RW, 1995, AQUAT MICROB ECOL, V9, P237 SARNELLE O, 2003, AM NAT, V161, P478 SCHNETZER A, 2005, J PLANKTON RES, V27, P959, DOI 10.1093/plankt/fbi049 SHERR EB, 2002, ANTON LEEUW INT J G, V81, P293 STOECKER DK, 1990, J PLANKTON RES, V12, P891 STOECKER DK, 1999, J EUKARYOT MICROBIOL, V46, P397 STRAILE D, 1997, LIMNOL OCEANOGR, V42, P1375 STROM SL, 2001, MAR BIOL, V138, P355 WATERHOUSE TY, 1995, LIMNOL OCEANOGR, V40, P827 WELSCHMEYER NA, 1994, LIMNOL OCEANOGR, V39, P1985 WETZEL RG, 1991, LIMNOLOGICAL ANAL]]></refworks:cr>
<refworks:jo><![CDATA[Aquat.Microb.Ecol.]]></refworks:jo>
<refworks:an><![CDATA[000264819200004]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2776</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2780">
<title><![CDATA[Revisiting experimental methods for studies of acidity-dependent ocean sound absorption]]></title>
<dc:creator><![CDATA[Duda,Timothy F.]]></dc:creator>
<description>The practical usefulness of long-range acoustic measurements of ocean acidity-linked sound absorption is analyzed. There are two applications: Determining spatially-averaged pH via absorption measurement and verifying absorption effects in an area of known pH. The method is a differential-attenuation technique, with the difference taken across frequency. Measurement performance versus mean frequency and range is examined. It is found that frequencies below 500 Hz are optimal. These are lower than the frequency where the measurement would be most sensitive in the absence of noise and signal fluctuation (scintillation). However, attenuation serves to reduce signal-to-noise ratio with increasing distance and frequency, improving performance potential at lower frequencies. Use of low frequency allows longer paths to be used, with potentially better spatial averaging. Averaging intervals required for detection of fluctuations or trends with the required precision are computed.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=OF_Dc8ujwEo:4x2oEk9xvfM:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=OF_Dc8ujwEo:4x2oEk9xvfM:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=OF_Dc8ujwEo:4x2oEk9xvfM:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[The Journal of the Acoustical Society of America]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[4]]></prism:number>
<prism:volume><![CDATA[125]]></prism:volume> 
<prism:startingPage><![CDATA[1971]]></prism:startingPage>
<prism:endingPage><![CDATA[1981]]></prism:endingPage> 
<refworks:created><![CDATA[4/28/2009 3:38:03 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:31 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/OF_Dc8ujwEo/refshare</link>
<refworks:FD><![CDATA[04/00]]></refworks:FD>
<refworks:k1><![CDATA[ acoustic measurement]]></refworks:k1>
<refworks:k1><![CDATA[ acoustic wave absorption]]></refworks:k1>
<refworks:k1><![CDATA[ pH]]></refworks:k1>
<refworks:k1><![CDATA[ underwater sound]]></refworks:k1>
<refworks:no><![CDATA[ID: 7064; JF: The Journal of the Acoustical Society of America; M3: 10.1121/1.3089591]]></refworks:no>
<refworks:lk><![CDATA[http://link.aip.org/link/?JAS/125/1971/1]]></refworks:lk>
<refworks:id><![CDATA[2780]]></refworks:id>
<refworks:jo><![CDATA[J.Acoust.Soc.Am.]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2780</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2772">
<title><![CDATA[Flow and geochemistry of groundwater beneath a back-barrier lagoon: The subterranean estuary at Chincoteague Bay, Maryland, USA]]></title>
<dc:creator><![CDATA[Bratton,John F.]]></dc:creator>
<dc:creator><![CDATA[ Boehlke,John Karl]]></dc:creator>
<dc:creator><![CDATA[ Krantz,David E.]]></dc:creator>
<dc:creator><![CDATA[ Tobias,Craig R.]]></dc:creator>
<description>To better understand large-scale interactions between fresh and saline groundwater beneath an Atlantic coastal estuary, an offshore drilling and sampling study was performed in a large barrier-bounded lagoon, Chincoteague Bay, Maryland, USA. Groundwater that was significantly fresher than overlying bay water was found in shallow plumes up to 8 m thick extending more than 1700 m offshore. Groundwater saltier than bay surface water was found locally beneath the lagoon and the barrier island, indicating recharge by saline water concentrated by evaporation prior to infiltration. Steep salinity and nutrient gradients occur within a few meters of the sediment surface in most locations studied, with buried peats and estuarine muds acting as confining units. Groundwater ages were generally more than 50 years in both fresh and brackish waters as deep as 23 m below the bay bottom. Water chemistry and isotopic data indicate that freshened plumes beneath the estuary are mixtures of water originally recharged on land and varying amounts of estuarine surface water that circulated through the bay floor, possibly at some distance from the sampling location. Ammonium is the dominant fixed nitrogen species in saline groundwater beneath the estuary at the locations sampled. Isotopic and dissolved-gas data from one location indicate that denitrification within the subsurface flow system removed terrestrial nitrate from fresh groundwater prior to discharge along the western side of the estuary. Similar situations, with one or more shallow semi-confined flow systems where groundwater geochemistry is strongly influenced by circulation of surface estuary water through organicrich sediments, may be common on the Atlantic margin and elsewhere. Published by Elsevier B.V.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=QB9YZS2KmCc:h6nompFxNlI:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=QB9YZS2KmCc:h6nompFxNlI:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=QB9YZS2KmCc:h6nompFxNlI:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[ELSEVIER SCIENCE BV]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Marine Chemistry]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[1-2]]></prism:number>
<prism:volume><![CDATA[113]]></prism:volume> 
<prism:startingPage><![CDATA[78]]></prism:startingPage>
<prism:endingPage><![CDATA[92]]></prism:endingPage> 
<refworks:created><![CDATA[4/28/2009 3:36:57 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:30 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/QB9YZS2KmCc/refshare</link>
<refworks:FD><![CDATA[JAN 30]]></refworks:FD>
<refworks:k1><![CDATA[ Submarine groundwater]]></refworks:k1>
<refworks:k1><![CDATA[ Nutrients]]></refworks:k1>
<refworks:k1><![CDATA[ Isotopes]]></refworks:k1>
<refworks:k1><![CDATA[ Drilling]]></refworks:k1>
<refworks:k1><![CDATA[ Estuary]]></refworks:k1>
<refworks:k1><![CDATA[ Chincoteague Bay]]></refworks:k1>
<refworks:k1><![CDATA[ SULFUR-HEXAFLUORIDE]]></refworks:k1>
<refworks:k1><![CDATA[ COASTAL ZONE]]></refworks:k1>
<refworks:k1><![CDATA[ PORE-WATER]]></refworks:k1>
<refworks:k1><![CDATA[ DISCHARGE]]></refworks:k1>
<refworks:k1><![CDATA[ NITROGEN]]></refworks:k1>
<refworks:k1><![CDATA[ MARINE]]></refworks:k1>
<refworks:k1><![CDATA[ SOLUBILITY]]></refworks:k1>
<refworks:k1><![CDATA[ SEAWATER]]></refworks:k1>
<refworks:k1><![CDATA[ INPUTS]]></refworks:k1>
<refworks:k1><![CDATA[ DIAGENESIS]]></refworks:k1>
<refworks:k1><![CDATA[ Chemistry, Multidisciplinary]]></refworks:k1>
<refworks:k1><![CDATA[ Oceanography]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 65; TC: 0; J9: MAR CHEM; PG: 15; GA: 425QO]]></refworks:no>
<refworks:pp><![CDATA[AMSTERDAM; PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS]]></refworks:pp>
<refworks:sn><![CDATA[0304-4203]]></refworks:sn>
<refworks:ad><![CDATA[[Bratton, John F.] US Geol Survey, Woods Hole, MA 02543 USA. [Boehlke, John Karl] US Geol Survey, Reston, VA 20192 USA. [Krantz, David E.] Univ Toledo, Dept Environm Sci, Toledo, OH 43606 USA. [Tobias, Craig R.] Univ N Carolina, Dept Earth Sci, Wilmington, NC 28403 USA.; Bratton, JF, US Geol Survey, 34 Woods Hole Rd, Woods Hole, MA 02543 USA.; jbratton@usgs.gov]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.1016/j.marchem.2009.01.004]]></refworks:do>
<refworks:id><![CDATA[2772]]></refworks:id>
<refworks:cr><![CDATA[CR: *ACC COUNT PLAN CO, 1997, ACC COUNT COMPR PLAN *WORC COUNT PLANN, 2006, COMPR DEV PLAN WORC AESCHBACHHERTIG W, 1999, WATER RESOUR RES, V35, P2779 ANDRES AS, 1991, 49 DEL GROUND WAT QU ARRIGO KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04158 ATKINSON MJ, 1983, LIMNOL OCEANOGR, V28, P568 BOHLKE JK, 1995, IAEA TECDOC, V825, P51 BOHLKE JK, 1995, WATER RESOUR RES, V31, P2319 BOHLKE JK, 2003, 034192 USGS WAT RES BOHLKE JK, 2006, USE CHLOROFLUOROCARB, P239 BONE SE, 2007, ENVIRON SCI TECHNOL, P10 BOYNTON WR, 1993, MARYLANDS COASTAL BA BRATTON JF, 2004, GROUND WATER, V42, P1021 BRATTON JF, 2007, INT ASS HYDROLOGICAL, V312, P28 BULLISTER JL, 2002, DEEP-SEA RES PT I, V49, P175 BURNETT WC, 2003, BIOGEOCHEMISTRY, V66, P3 BURNETT WC, 2006, SCI TOTAL ENVIRON, V367, P498, DOI 10.1016/j.scitotenv.2006.05.009 BUSENBERG E, 1992, WATER RESOUR RES, V28, P2257 BUSENBERG E, 2000, WATER RESOUR RES, V36, P3011 CABLE JE, 2004, GROUND WATER, V42, P1011 CERCO CF, 1994, EL945 USA CORPS ENG CHARETTE MA, 2006, GEOCHIM COSMOCHIM AC, V70, P811, DOI 10.1016/j.gca.2005.10.019 COOK PG, 2000, ENV TRACERS SUBSURFA COPLEN TB, 1988, CHEM GEOL IG, V72, P293 DEMAREST JM, 1981, THESIS U DELAWARE DENVER JM, 1986, 41 DEL GEOL SURV DENVER JM, 1989, 45 DEL GEOL SURV DILLOW JJA, 994167 USGS WAT RES DILLOW JJA, 2002, 024029 USGS WAT RES GALLARDO AH, 2006, GEO-MAR LETT, V26, P102, DOI 10.1007/s00367-006-0021-7 HANNON JE, 2008, METHODS RESTON STA C, CH15 HERBERT RA, 1999, FEMS MICROBIOL REV, V23, P563 HOLMES RM, 1998, MAR CHEM, V60, P235 HULTH S, 2005, MAR CHEM, V94, P125, DOI 10.1016/j.marchem.2004.07.013 JORDAN T, 2004, NET ANTHR NITR INP C KRANTZ DE, 2004, DELAWARE GROUND WATE, V42, P1035 LEHMANN MF, 2002, GEOCHIM COSMOCHIM AC, V66, P3573 LINDSEY BD, 2003, 034035 USGS WAT RES LUDIN A, 1998, 9806 LAM DOH MANHEIM FT, 1984, SEDIMENTOLOGY PHYSIC, V1, P163 MANHEIM FT, 1994, 940584 USGS MANHEIM FT, 2004, GROUND WATER, V42, P1052 MARTIN JB, 2006, LIMNOL OCEANOGR, V51, P1332 MILLER KG, 2003, P OCEAN DRILLIN AX S, V174, P1 MOORE WS, 1996, NATURE, V380, P612 NIENCHESKI LFH, 2007, MAR CHEM, V106, P546, DOI 10.1016/j.marchem.2007.06.004 OWENS JP, 1978, GEOLOGIC MAP WORCEST PHILLIPS SW, 1999, FS15099 USGS PLUMMER LN, 1998, APPL GEOCHEM, V13, P1017 PRITCHARD DW, 1960, CHESAPEAKE SCI, V1, P48 PROKOPENKO MG, 2006, EARTH PLANET SC LETT, V242, P186, DOI 10.1016/j.epsl.2005.11.044 QI HP, 2003, RAPID COMMUN MASS SP, V17, P2483, DOI 10.1002/rcm.1219 ROZAN TF, 2002, LIMNOL OCEANOGR, V47, P1346 SCHLOSSER P, 1988, EARTH PLANET SC LETT, V89, P353 SHEDLOCK RJ, 1999, 2355A USGS WAT SUPPL SLOMP CP, 2004, J HYDROL, V295, P64, DOI 10.1016/j.jhyfrol.2004.02.018 STUTE M, 2000, ENV TRACERS SUBSURFA, P349 SWARZENSKI PW, 2006, GEOPHYS RES LETT, V33, ARTN L24405 SWARZENSKI PW, 2006, MAR CHEM, V101, P248, DOI 10.1016/j.marchem.2006.03.007 TANIGUCHI M, 2002, HYDROL PROCESS, V16, P2115, DOI 10.1002/hyp.1145 VACHER HL, 1988, J COASTAL RES, V4, P139 WAZNIAK CE, 2005, DNR1212020009 WEISS RF, 1970, DEEP-SEA RES, V17, P721 WEISS RF, 1971, J CHEM ENG DATA, V16, P235 WELLS DV, 1999, 995 MAR GEOL SURV]]></refworks:cr>
<refworks:jo><![CDATA[Mar.Chem.]]></refworks:jo>
<refworks:an><![CDATA[000264652400008]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2772</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2752">
<title><![CDATA[Palaeolimnology of Lake Sapanca and identification of historic earthquake signals, Northern Anatolian Fault Zone (Turkey)]]></title>
<dc:creator><![CDATA[Schwab,Markus J.]]></dc:creator>
<dc:creator><![CDATA[ Werner,Petra]]></dc:creator>
<dc:creator><![CDATA[ Dulski,Peter]]></dc:creator>
<dc:creator><![CDATA[ McGee,Edward]]></dc:creator>
<dc:creator><![CDATA[ Nowaczyk,Norbert R.]]></dc:creator>
<dc:creator><![CDATA[ Bertrand,Sébastien]]></dc:creator>
<dc:creator><![CDATA[ Leroy,Suzanne A. G.]]></dc:creator>
<description>Lake Sapanca is located on a strand of the Northern Anatolian Fault Zone (NAFZ, Turkey), where a series of strong earthquakes (Ms &gt;6.0) have occurred over the past hundred years. Identifying prehistoric earthquakes in and around Lake Sapanca is key to a better understanding of plate movements along the NAFZ. This study contributes to the development of palaeolimnological tools to identify past earthquakes in Lake Sapanca. To this end several promising proxies were investigated, specifically lithology, magnetic susceptibility, grain size (thin-section and laser analysis), geochemistry, pollen concentration, diatom assemblages, 137Cs and 210Pb. Sedimentological indicators provided evidence for reworked, turbidite-like or homogeneous facies (event layers) in several short cores (&lt;45 cm). Other indicators of sediment input and the historical chronicles available for the area suggest that three of these event layers likely originated from the AD 1957, 1967 and 1999 earthquakes. Recent changes in sediment deposition and nutrient levels have also been identified, but are probably not related to earthquakes. This study demonstrates that a combination of indicators can be used to recognize earthquake-related event layers in cores that encompass a longer period of time.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=jPUJOYwAXOg:nUaT0V9sRO8:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=jPUJOYwAXOg:nUaT0V9sRO8:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=jPUJOYwAXOg:nUaT0V9sRO8:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Quaternary Science Reviews]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:volume><![CDATA[In Press, Corrected Proof]]></prism:volume> 
<refworks:created><![CDATA[4/16/2009 1:17:14 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:08 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/jPUJOYwAXOg/refshare</link>
<refworks:sn><![CDATA[0277-3791]]></refworks:sn>
<refworks:do><![CDATA[DOI: 10.1016/j.quascirev.2009.02.018]]></refworks:do>
<refworks:id><![CDATA[2752]]></refworks:id>
<refworks:ul><![CDATA[http://www.sciencedirect.com/science/article/B6VBC-4W0SSD5-3/2/9d6b86768db3498dddca3620dda9d995]]></refworks:ul>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2752</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2754">
<title><![CDATA[Disruption of fast axonal transport is a pathogenic mechanism for intraneuronal amyloid beta]]></title>
<dc:creator><![CDATA[Pigino,G.]]></dc:creator>
<dc:creator><![CDATA[ Morfini,G.]]></dc:creator>
<dc:creator><![CDATA[ Atagi,Y.]]></dc:creator>
<dc:creator><![CDATA[ Deshpande,A.]]></dc:creator>
<dc:creator><![CDATA[ Yu,C.]]></dc:creator>
<dc:creator><![CDATA[ Jungbauer,L.]]></dc:creator>
<dc:creator><![CDATA[ LaDu,M.]]></dc:creator>
<dc:creator><![CDATA[ Busciglio,J.]]></dc:creator>
<dc:creator><![CDATA[ Brady,S.]]></dc:creator>
<description>The pathological mechanism by which AÎ² causes neuronal dysfunction and death remains largely unknown. Deficiencies in fast axonal transport (FAT) were suggested to play a crucial role in neuronal dysfunction and loss for a diverse set of dying back neuropathologies including Alzheimer's disease (AD), but the molecular basis for pathological changes in FAT were undetermined. Recent findings indicate that soluble intracellular oligomeric AÎ² (oAÎ²) species may play a critical role in AD pathology. Real-time analysis of vesicle mobility in isolated axoplasms perfused with oAÎ² showed bidirectional axonal transport inhibition as a consequence of endogenous casein kinase 2 (CK2) activation. Conversely, neither unaggregated amyloid beta nor fibrillar amyloid beta affected FAT. Inhibition of FAT by oAÎ² was prevented by two specific pharmacological inhibitors of CK2, as well as by competition with a CK2 substrate peptide. Furthermore, perfusion of axoplasms with active CK2 mimics the inhibitory effects of oAÎ² on FAT. Both oAÎ² and CK2 treatment of axoplasm led to increased phosphorylation of kinesin-1 light chains and subsequent release of kinesin from its cargoes. Therefore pharmacological modulation of CK2 activity may represent a promising target for therapeutic intervention in AD.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=lQ9YQCdV5LI:LlTpA5kj9Cg:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=lQ9YQCdV5LI:LlTpA5kj9Cg:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=lQ9YQCdV5LI:LlTpA5kj9Cg:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Proceedings of the National Academy of Sciences]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Generic]]></refworks:rwtype>
<prism:number><![CDATA[14]]></prism:number>
<prism:volume><![CDATA[106]]></prism:volume> 
<prism:startingPage><![CDATA[5907]]></prism:startingPage>
<prism:endingPage><![CDATA[5912]]></prism:endingPage> 
<refworks:created><![CDATA[4/16/2009 1:34:36 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:07 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/lQ9YQCdV5LI/refshare</link>
<refworks:FD><![CDATA[04/07]]></refworks:FD>
<refworks:k1><![CDATA[ Alzheimer's disease]]></refworks:k1>
<refworks:k1><![CDATA[ Axonal transport]]></refworks:k1>
<refworks:k1><![CDATA[ Beta amyloid oligomer]]></refworks:k1>
<refworks:k1><![CDATA[ CK2]]></refworks:k1>
<refworks:k1><![CDATA[ Kinesin]]></refworks:k1>
<refworks:no><![CDATA[ID: 15770; M3: 10.1073/pnas.0901229106]]></refworks:no>
<refworks:lk><![CDATA[http://www.pnas.org/content/106/14/5907.abstract]]></refworks:lk>
<refworks:id><![CDATA[2754]]></refworks:id>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2754</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2756">
<title><![CDATA[Larval dispersal connects fish populations in a network of marine protected areas]]></title>
<dc:creator><![CDATA[Planes,Serge]]></dc:creator>
<dc:creator><![CDATA[ Jones,Geoffrey P.]]></dc:creator>
<dc:creator><![CDATA[ Thorrold,Simon R.]]></dc:creator>
<description>Networks of no-take marine protected areas (MPAs) have been widely advocated for the conservation of marine biodiversity. But for MPA networks to be successful in protecting marine populations, individual MPAs must be self-sustaining or adequately connected to other MPAs via dispersal. For marine species with a dispersive larval stage, populations within MPAs require either the return of settlement-stage larvae to their natal reserve or connectivity among reserves at the spatial scales at which MPA networks are implemented. To date, larvae have not been tracked when dispersing from one MPA to another, and the relative magnitude of local retention and connectivity among MPAs remains unknown. Here we use DNA parentage analysis to provide the first direct estimates of connectivity of a marine fish, the orange clownfish (), in a proposed network of marine reserves in Kimbe Bay, Papua New Guinea. Approximately 40% of larvae settling into anemones in an island MPA at 2 different times were derived from parents resident in the reserve. We also located juveniles spawned by Kimbe Island residents that had dispersed as far as 35 km to other proposed MPAs, the longest distance that marine larvae have been directly tracked. These dispersers accounted for up to 10% of the recruitment in the adjacent MPAs. Our findings suggest that MPA networks can function to sustain resident populations both by local replenishment and through larval dispersal from other reserves. More generally, DNA parentage analysis provides a direct method for measuring larval dispersal for other marine organisms.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=gFTAJbCf65g:-HcYnoPS5kA:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=gFTAJbCf65g:-HcYnoPS5kA:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=gFTAJbCf65g:-HcYnoPS5kA:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Proceedings of the National Academy of Sciences]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[14]]></prism:number>
<prism:volume><![CDATA[106]]></prism:volume> 
<prism:startingPage><![CDATA[5693]]></prism:startingPage>
<prism:endingPage><![CDATA[5697]]></prism:endingPage> 
<refworks:created><![CDATA[4/16/2009 1:34:36 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:07 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/gFTAJbCf65g/refshare</link>
<refworks:FD><![CDATA[04/07]]></refworks:FD>
<refworks:k1><![CDATA[ Amphiprion percula]]></refworks:k1>
<refworks:k1><![CDATA[ connectivity]]></refworks:k1>
<refworks:k1><![CDATA[ parentage analyses]]></refworks:k1>
<refworks:k1><![CDATA[ self-recruitment]]></refworks:k1>
<refworks:no><![CDATA[ID: 7697; M3: 10.1073/pnas.0808007106]]></refworks:no>
<refworks:lk><![CDATA[http://www.pnas.org/content/106/14/5693.abstract]]></refworks:lk>
<refworks:id><![CDATA[2756]]></refworks:id>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2756</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2758">
<title><![CDATA[Synaptic transmission block by presynaptic injection of oligomeric amyloid beta]]></title>
<dc:creator><![CDATA[Moreno,Herman]]></dc:creator>
<dc:creator><![CDATA[ Yu,Eunah]]></dc:creator>
<dc:creator><![CDATA[ Pigino,Gustavo]]></dc:creator>
<dc:creator><![CDATA[ Hernandez,Alejandro I.]]></dc:creator>
<dc:creator><![CDATA[ Kim,Natalia]]></dc:creator>
<dc:creator><![CDATA[ Moreira,Jorge E.]]></dc:creator>
<dc:creator><![CDATA[ Sugimori,Mutsuyuki]]></dc:creator>
<dc:creator><![CDATA[ LlinÃ¡s,Rodolfo R.]]></dc:creator>
<description>Early Alzheimer's disease (AD) pathophysiology is characterized by synaptic changes induced by degradation products of amyloid precursor protein (APP). The exact mechanisms of such modulation are unknown. Here, we report that nanomolar concentrations of intraaxonal oligomeric (o)AÎ²42, but not oAÎ²40 or extracellular oAÎ²42, acutely inhibited synaptic transmission at the squid giant synapse. Further characterization of this phenotype demonstrated that presynaptic calcium currents were unaffected. However, electron microscopy experiments revealed diminished docked synaptic vesicles in oAÎ²42-microinjected terminals, without affecting clathrin-coated vesicles. The molecular events of this modulation involved casein kinase 2 and the synaptic vesicle rapid endocytosis pathway. These findings open the possibility of a new therapeutic target aimed at ameliorating synaptic dysfunction in AD.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=zWZD6Q_P3FE:KigXBXzT7m8:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=zWZD6Q_P3FE:KigXBXzT7m8:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=zWZD6Q_P3FE:KigXBXzT7m8:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Proceedings of the National Academy of Sciences]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[14]]></prism:number>
<prism:volume><![CDATA[106]]></prism:volume> 
<prism:startingPage><![CDATA[5901]]></prism:startingPage>
<prism:endingPage><![CDATA[5906]]></prism:endingPage> 
<refworks:created><![CDATA[4/16/2009 1:34:36 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:07 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/zWZD6Q_P3FE/refshare</link>
<refworks:FD><![CDATA[04/07]]></refworks:FD>
<refworks:k1><![CDATA[ Alzheimer's disease]]></refworks:k1>
<refworks:k1><![CDATA[ fluorescence microscopy]]></refworks:k1>
<refworks:k1><![CDATA[ presynaptic voltage clamp]]></refworks:k1>
<refworks:k1><![CDATA[ squid giant synapse]]></refworks:k1>
<refworks:k1><![CDATA[ ultrastructure]]></refworks:k1>
<refworks:no><![CDATA[ID: 15530; M3: 10.1073/pnas.0900944106]]></refworks:no>
<refworks:lk><![CDATA[http://www.pnas.org/content/106/14/5901.abstract]]></refworks:lk>
<refworks:id><![CDATA[2758]]></refworks:id>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2758</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2753">
<title><![CDATA[Sonar-induced temporary hearing loss in dolphins]]></title>
<dc:creator><![CDATA[Mooney,T. Aran]]></dc:creator>
<dc:creator><![CDATA[ Nachtigall,Paul E.]]></dc:creator>
<dc:creator><![CDATA[ Vlachos,Stephanie]]></dc:creator>
<description>There is increasing concern that human-produced ocean noise is adversely affecting marine mammals, as several recent cetacean mass strandings may have been caused by animals' interactions with naval ‘mid-frequency’ sonar. However, it has yet to be empirically demonstrated how sonar could induce these strandings or cause physiological effects. In controlled experimental studies, we show that mid-frequency sonar can induce temporary hearing loss in a bottlenose dolphin (). Mild-behavioural alterations were also associated with the exposures. The auditory effects were induced only by repeated exposures to intense sonar pings with total sound exposure levels of 214 dB re: 1 μPa s. Data support an increasing energy model to predict temporary noise-induced hearing loss and indicate that odontocete noise exposure effects bear trends similar to terrestrial mammals. Thus, sonar can induce physiological and behavioural effects in at least one species of odontocete; however, exposures must be of prolonged, high sound exposures levels to generate these effects.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=0INJcW5RfFE:qu2AuiM_joA:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=0INJcW5RfFE:qu2AuiM_joA:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=0INJcW5RfFE:qu2AuiM_joA:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Biology Letters]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<refworks:created><![CDATA[4/16/2009 1:19:54 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:06 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/0INJcW5RfFE/refshare</link>
<refworks:FD><![CDATA[April 8]]></refworks:FD>
<refworks:k1><![CDATA[ auditory]]></refworks:k1>
<refworks:k1><![CDATA[ marine mammal]]></refworks:k1>
<refworks:k1><![CDATA[ noise]]></refworks:k1>
<refworks:k1><![CDATA[ stranding]]></refworks:k1>
<refworks:k1><![CDATA[ navy]]></refworks:k1>
<refworks:k1><![CDATA[ threshold shift]]></refworks:k1>
<refworks:do><![CDATA[10.1098/rsbl.2009.0099]]></refworks:do>
<refworks:id><![CDATA[2753]]></refworks:id>
<refworks:ul><![CDATA[http://rsbl.royalsocietypublishing.org/content/early/2009/04/03/rsbl.2009.0099.abstract]]></refworks:ul>
<refworks:jo><![CDATA[Biology Letters]]></refworks:jo>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2753</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2761">
<title><![CDATA[Distribution of echinoderm larvae relative to the halocline of a salt wedge]]></title>
<dc:creator><![CDATA[Metaxas,Anna]]></dc:creator>
<dc:creator><![CDATA[ Mullineaux,Lauren S.]]></dc:creator>
<dc:creator><![CDATA[ Sisson,Jay]]></dc:creator>
<description>Aggregations of larvae of marine benthic invertebrates occur near physical and biological features of the water column, and can be the result of hydrodynamics, larval behavior, or a combination of the two. In this study, we examined the effect of flow on the vertical distribution of 4-arm larvae of the sea urchin Lytechinus variegatus relative to a halocline. In the absence of flow, the larvae did not cross but aggregated at and below haloclines in which the salinity of the bottom layer was 31 and that of the top layer was either 21 or 25. To test the effect of flow on this response, we generated a salt wedge in a 17 m flume, with 2 water layers of different salinity and opposite mainstream flow. Using the same treatments as in the absence of flow, we found that larval aggregation occurred below the halocline under low horizontal flow velocities. We propose that in the presence of laminar sheared flow, the larval vertical distribution relative to a halocline is modified by shear, which retains larvae near the halocline, resulting in a decreased probability of entrainment into the water layer of lower salinity.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=tPKxp4_7Yts:NUCFhw5ooOU:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=tPKxp4_7Yts:NUCFhw5ooOU:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=tPKxp4_7Yts:NUCFhw5ooOU:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[INTER-RESEARCH]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[Marine Ecology-Progress Series]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:volume><![CDATA[377]]></prism:volume> 
<prism:startingPage><![CDATA[157]]></prism:startingPage>
<prism:endingPage><![CDATA[168]]></prism:endingPage> 
<refworks:created><![CDATA[4/16/2009 1:35:03 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:06 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/tPKxp4_7Yts/refshare</link>
<refworks:k1><![CDATA[ Larval vertical distribution]]></refworks:k1>
<refworks:k1><![CDATA[ Laminar sheared flow]]></refworks:k1>
<refworks:k1><![CDATA[ Halocline]]></refworks:k1>
<refworks:k1><![CDATA[ Behavioral response]]></refworks:k1>
<refworks:k1><![CDATA[ Echinoderm larvae]]></refworks:k1>
<refworks:k1><![CDATA[ Salt wedge]]></refworks:k1>
<refworks:k1><![CDATA[ Flume]]></refworks:k1>
<refworks:k1><![CDATA[ WATER COLUMN STRATIFICATION]]></refworks:k1>
<refworks:k1><![CDATA[ VERTICAL-DISTRIBUTION]]></refworks:k1>
<refworks:k1><![CDATA[ PLACOPECTEN-MAGELLANICUS]]></refworks:k1>
<refworks:k1><![CDATA[ ONSHORE TRANSPORT]]></refworks:k1>
<refworks:k1><![CDATA[ BIVALVE LARVAE]]></refworks:k1>
<refworks:k1><![CDATA[ FOOD]]></refworks:k1>
<refworks:k1><![CDATA[ PATCHES]]></refworks:k1>
<refworks:k1><![CDATA[ GEORGES BANK]]></refworks:k1>
<refworks:k1><![CDATA[ BEHAVIOR]]></refworks:k1>
<refworks:k1><![CDATA[ MIGRATION]]></refworks:k1>
<refworks:k1><![CDATA[ RESPONSES]]></refworks:k1>
<refworks:k1><![CDATA[ Ecology]]></refworks:k1>
<refworks:k1><![CDATA[ Marine & Freshwater Biology]]></refworks:k1>
<refworks:k1><![CDATA[ Oceanography]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 30; TC: 0; J9: MAR ECOL-PROGR SER; PG: 12; GA: 424HH]]></refworks:no>
<refworks:pp><![CDATA[OLDENDORF LUHE; NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY]]></refworks:pp>
<refworks:sn><![CDATA[0171-8630]]></refworks:sn>
<refworks:ad><![CDATA[[Metaxas, Anna; Mullineaux, Lauren S.; Sisson, Jay] Woods Hole Oceanog Inst, Dept Biol, Woods Hole, MA 02543 USA.; Metaxas, A, Dalhousie Univ, Dept Oceanog, Halifax, NS B3H 4J1, Canada.; metaxas@dal.ca]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.3354/meps07835]]></refworks:do>
<refworks:id><![CDATA[2761]]></refworks:id>
<refworks:cr><![CDATA[CR: BURDETTCOUTTS V, 2004, J EXP MAR BIOL ECOL, V308, P221, DOI 10.1016/j.jembe.2004.02.023 BUTMAN CA, 1987, OCEANOGR MAR BIOL, V25, P113 BUTMAN CA, 1989, CRC892 WOODS HOL OC FUCHS HL, 2004, LIMNOL OCEANOGR, V49, P1937 GALLAGER SM, 1996, DEEP-SEA RES PT II, V43, P1627 GRUNBAUM D, 2003, J MAR RES, V61, P659 HARDER W, 1968, LIMNOL OCEANOGR, V13, P156 JONSSON PR, 1991, MAR ECOL-PROG SER, V79, P67 LARGIER JL, 1991, ESTUAR COAST SHELF S, V33, P325 LUCKENBACH MW, 1992, ESTUARIES, V15, P186 MANN R, 1991, MAR ECOL-PROG SER, V68, P257 MCCONNAUGHEY RA, 1984, MAR BIOL, V81, P139 METAXAS A, 1998, MAR BIOL, V130, P433 METAXAS A, 1998, MAR BIOL, V131, P443 METAXAS A, 2001, CAN J FISH AQUAT SCI, V58, P86 MULLINEAUX LS, 1991, MAR BIOL, V110, P93 OFFICIER CB, 1977, ESTUARIES GEOPHYSICS, P13 PINEDA J, 1994, J MAR RES, V52, P427 PINEDA J, 1999, LIMNOL OCEANOGR, V44, P1400 RABY D, 1994, MAR ECOL-PROG SER, V103, P275 RATTRAY M, 1977, ESTUARIES GEOPHYS EN, P36 SHANKS AL, 2000, LIMNOL OCEANOGR, V45, P230 STRATHMANN RR, 2006, INTEGR COMP BIOL, V46, P312, DOI 10.1093/icb/icj031 SULKIN SD, 1983, MAR ECOL-PROG SER, V11, P157 THIEBAUT E, 1992, MAR ECOL-PROG SER, V80, P29 TREMBLAY MJ, 1990, MAR ECOL-PROG SER, V61, P1 TREMBLAY MJ, 1990, MAR ECOL-PROG SER, V67, P19 TROWBRIDGE JH, 1989, CRC893 WOODS HOL OC VAZQUEZ E, 1996, MAR ECOL-PROG SER, V133, P179 WRIGHT LD, 1971, J GEOPHYS RES, V76, P8649]]></refworks:cr>
<refworks:jo><![CDATA[Mar.Ecol.-Prog.Ser.]]></refworks:jo>
<refworks:an><![CDATA[000264557300016]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2761</feedburner:origLink></item>
<item rdf:about="http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2763">
<title><![CDATA[LOAPEX: The Long-Range Ocean Acoustic Propagation EXperiment]]></title>
<dc:creator><![CDATA[Mercer,James A.]]></dc:creator>
<dc:creator><![CDATA[ Colosi,John A.]]></dc:creator>
<dc:creator><![CDATA[ Howe,Bruce M.]]></dc:creator>
<dc:creator><![CDATA[ Dzieciuch,Matthew A.]]></dc:creator>
<dc:creator><![CDATA[ Stephen,Ralph]]></dc:creator>
<dc:creator><![CDATA[ Worcester,Peter F.]]></dc:creator>
<description>This paper provides an overview of the experimental goals and methods of the Long-range Ocean Acoustic Propagation EXperiment (LOAPEX), which took place in the northeast Pacific Ocean between September 10, 2004 and October 10, 2004. This experiment was designed to address a number of unresolved issues in long-range, deep-water acoustic propagation including the effect of ocean fluctuations such as internal waves on acoustic signal coherence, and the scattering of low-frequency sound, in particular, scattering into the deep acoustic shadow zone. Broadband acoustic transmissions centered near 75 Hz were made from various depths to a pair of vertical hydrophone arrays covering 3500 m of the water column, and to several bottom-mounted horizontal line arrays distributed throughout the northeast Pacific Ocean Basin. Path lengths varied from 50 km to several megameters. Beamformed receptions on the horizontal arrays contained 10-20-ms tidal signals, in agreement with a tidal model. Fifteen consecutive receptions on one of the vertical line arrays with a source range of :3200 km showed the potential for incoherent averaging. Finally, shadow zone receptions were observed on an ocean bottom seismometer at a depth of 5000 m from a source at 3200-250-km range.&lt;div class="feedflare"&gt;
&lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=Pno-Sh9S_Sc:hGNX3R6-hFY:yIl2AUoC8zA"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?d=yIl2AUoC8zA" border="0"&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?a=Pno-Sh9S_Sc:hGNX3R6-hFY:F7zBnMyn0Lo"&gt;&lt;img src="http://feeds.feedburner.com/~ff/WoodsHoleAuthorsResearch?i=Pno-Sh9S_Sc:hGNX3R6-hFY:F7zBnMyn0Lo" border="0"&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;</description>
<dc:publisher><![CDATA[IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC]]></dc:publisher>
<dc:date><![CDATA[2009]]></dc:date>
<prism:publicationName><![CDATA[IEEE Journal of Oceanic Engineering]]></prism:publicationName> 
<refworks:rwtype><![CDATA[Journal Article]]></refworks:rwtype>
<prism:number><![CDATA[1]]></prism:number>
<prism:volume><![CDATA[34]]></prism:volume> 
<prism:startingPage><![CDATA[1]]></prism:startingPage>
<prism:endingPage><![CDATA[11]]></prism:endingPage> 
<refworks:created><![CDATA[4/16/2009 1:35:04 PM GMT ]]></refworks:created>
<refworks:modified><![CDATA[5/5/2009 2:48:06 PM GMT ]]></refworks:modified><link>http://feedproxy.google.com/~r/WoodsHoleAuthorsResearch/~3/Pno-Sh9S_Sc/refshare</link>
<refworks:FD><![CDATA[JAN]]></refworks:FD>
<refworks:k1><![CDATA[ Acoustic scattering]]></refworks:k1>
<refworks:k1><![CDATA[ acoustic tomography]]></refworks:k1>
<refworks:k1><![CDATA[ coherence]]></refworks:k1>
<refworks:k1><![CDATA[ low frequency]]></refworks:k1>
<refworks:k1><![CDATA[ propagation]]></refworks:k1>
<refworks:k1><![CDATA[ underwater acoustics]]></refworks:k1>
<refworks:k1><![CDATA[ APERTURE VERTICAL ARRAY]]></refworks:k1>
<refworks:k1><![CDATA[ NORTH PACIFIC-OCEAN]]></refworks:k1>
<refworks:k1><![CDATA[ 1000-KM RANGE]]></refworks:k1>
<refworks:k1><![CDATA[ KAUAI]]></refworks:k1>
<refworks:k1><![CDATA[ SOURCE]]></refworks:k1>
<refworks:k1><![CDATA[ TEMPERATURE]]></refworks:k1>
<refworks:k1><![CDATA[ Engineering, Civil]]></refworks:k1>
<refworks:k1><![CDATA[ Engineering, Ocean]]></refworks:k1>
<refworks:k1><![CDATA[ Engineering, Electrical & Electronic]]></refworks:k1>
<refworks:k1><![CDATA[ Oceanography]]></refworks:k1>
<refworks:no><![CDATA[PT: J; NR: 27; TC: 0; J9: IEEE J OCEANIC ENG; PG: 11; GA: 425DU]]></refworks:no>
<refworks:pp><![CDATA[PISCATAWAY; 445 HOES LANE, PISCATAWAY, NJ 08855 USA]]></refworks:pp>
<refworks:sn><![CDATA[0364-9059]]></refworks:sn>
<refworks:ad><![CDATA[[Mercer, James A.] Univ Washington, Dept Earth & Space Sci, Appl Phys Lab, Seattle, WA 98105 USA. [Colosi, John A.; Stephen, Ralph] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA. [Howe, Bruce M.] Univ Washington, Sch Oceanog, Seattle, WA 98105 USA. [Dzieciuch, Matthew A.; Stephen, Ralph] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.; Mercer, JA, Univ Washington, Dept Earth & Space Sci, Appl Phys Lab, Seattle, WA 98105 USA.; mercer@apl.washington.edu jacolosi@nps.edu bhowe@hawaii.edu mdzieciuch@ucsd.edu rstephen@whoi.edu pworcester@ucsd.edu]]></refworks:ad>
<refworks:la><![CDATA[English]]></refworks:la>
<refworks:sf><![CDATA[Article]]></refworks:sf>
<refworks:do><![CDATA[10.1109/JOE.2008.2010656]]></refworks:do>
<refworks:id><![CDATA[2763]]></refworks:id>
<refworks:cr><![CDATA[CR: *AMODE MST GROUP, 1994, EOS T AM GEOPHYS UN, V74, P17 *AMODE MST GROUP, 1994, EOS T AM GEOPHYS UN, V74, P21 *AMODE MST GROUP, 1994, EOS T AM GEOPHYS UN, V74, P23 *ATOC INSTR GROUP, 1995, P MTS IEEE OCEANS C, V3, P1483 BERTOLDI JK, 1994, UND DEF TECHN UNPUB BIRDSALL TG, 1994, J ACOUST SOC AM, V96, P2343 BUTLER R, 2006, J ACOUST SOC AM, V120, P3599, DOI 10.1121/1.2354066 CORNUELLE BD, 1993, J GEOPHYS RES-OCEANS, V98, P16365 DUSHAW BD, TIDAL COMPONENT SOFT DUSHAW BD, 1999, IEEE J OCEANIC ENG, V24, P202 DZIECIUCH M, 2004, J ACOUST SOC AM, V116, P1447, DOI 10.1121/1.1772397 EGBERT GD, 1994, J GEOPHYS RES, V99, P812 ERIKSEN CC, 2001, IEEE J OCEANIC ENG, V26, P424 GOBAT JI, 2000, WHOI200008 HEANEY KD, 2005, J ACOUST SOC AM 2, V117, P1635, DOI 10.1121/1.1854990 HOWE BM, 1991, OCEAN VARIABILITY AC, P81 ODOM RI, 2004, P SEISM AC APPL MAR, P54 RUDNICK DL, 2007, J ATMOS OCEAN TECH, V24, P1910, DOI 10.1175/JTECH2100.1 VERA MD, 2005, J ACOUST SOC AM 2, V117, P1624, DOI 10.1121/1.1854491 WAGE KE, 2005, J ACOUST SOC AM 2, V117, P1565, DOI 10.1121/1.1854551 WANG BM, 1994, IEEE T CIRC SYST VID, V4, P18 WORCESTER PF, 1994, J ACOUST SOC AM, V95, P3118 WORCESTER PF, 1998, OFF NAV RES LONG RAN WORCESTER PF, 1999, J ACOUST SOC AM, V105, P3185 WORCESTER PF, 2000, US RUSS WORKSH UNPUB WORCESTER PF, 2005, J ACOUST SOC AM 2, V117, P1499, DOI 10.1121/1.1854780 ZARNETSKE MR, 2005, THESIS U WASHINGTON]]></refworks:cr>
<refworks:jo><![CDATA[IEEE J.Ocean.Eng.]]></refworks:jo>
<refworks:an><![CDATA[000264618000001]]></refworks:an>Anonymous 
<refworks:ol><![CDATA[Unknown(0)]]></refworks:ol>
<refworks:sr><![CDATA[Print(0)]]></refworks:sr><feedburner:origLink>http://www.refworks.com/refshare?site=038911150700400000/RWWS4A671057/Woods%20Hole%20Authors%20Research&amp;rn=2763</feedburner:origLink></item>

</rdf:RDF>
