{"pageNumber":"537","pageRowStart":"13400","pageSize":"25","recordCount":165354,"records":[{"id":70223100,"text":"70223100 - 2021 - Winter severity, fish community, and availability to traps explain most of the variability in estimates of adult sea lamprey in Lake Superior","interactions":[],"lastModifiedDate":"2022-01-06T17:58:31.982246","indexId":"70223100","displayToPublicDate":"2020-08-20T10:18:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Winter severity, fish community, and availability to traps explain most of the variability in estimates of adult sea lamprey in Lake Superior","docAbstract":"<p><span>Animal populations are assessed to estimate rates of artificial and natural mortality at ecologically relevant spatial and temporal scales to develop exploitation quotas. But how the population’s natural mortality rate and how the ability to observe the population changes through time are poorly understood in most invasive fishes, despite efforts to control their populations. By investigating a 30-year abundance index of invasive sea lamprey (</span><i>Petromyzon marinus</i><span>) in Lake Superior, we found that the index was highly correlated (R</span><sup>2</sup><span>&nbsp;=&nbsp;0.75) with biotic and abiotic factors hypothesized to influence sea lamprey natural mortality and their availability to index traps. The index was lowest in years (1) following winters with below average ice cover on Lake Superior, (2) when stream discharge during sea lamprey migration was below average, (3) when adult sea lamprey were smaller than average, and (4) when adult sea lamprey were more likely to be distributed in tributaries on the east side of Lake Superior. These results highlight the need for policy makers to consider invasive species abundance indexes not just in the context of control effort, but also in the context of biotic and abiotic conditions because they could markedly influence natural mortality or the ability to observe highly suppressed populations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.08.011","usgsCitation":"Johnson, N.S., Adams, J.V., Bravener, G., Barber, J., Treska, T., and Siefkes, M.J., 2021, Winter severity, fish community, and availability to traps explain most of the variability in estimates of adult sea lamprey in Lake Superior: Journal of Great Lakes Research, v. 47, no. Suppl 1, p. 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Commission","active":true,"usgs":false}],"preferred":false,"id":820951,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70212609,"text":"70212609 - 2021 - Status of the major aquaculture carps of China in the Laurentian Great Lakes Basin","interactions":[],"lastModifiedDate":"2021-10-29T13:13:24.00058","indexId":"70212609","displayToPublicDate":"2020-08-20T08:51:25","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Status of the major aquaculture carps of China in the Laurentian Great Lakes Basin","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">There is concern of economic and environmental damage occuring if any of the four major aquacultured carp species of China, black carp<span>&nbsp;</span><i>Mylopharyngodon piceus</i>, bighead carp<span>&nbsp;</span><i>Hypophthalmichthys nobilis</i>, silver carp<span>&nbsp;</span><i>H. molitrix</i>, or grass carp<span>&nbsp;</span><i>Ctenopharyngodon idella</i>, were to establish in the Laurentian Great Lakes. All four are reproducing in the Mississippi River Basin. We review the status of these fishes in relation to the Great Lakes and their proximity to pathways into the Great Lakes, based on captures and collections of eggs and larvae. No black carp have been captured in the Great Lakes Basin. One silver carp and one bighead carp were captured within the Chicago Area Waterway System, on the Great Lakes side of electric barriers designed to keep carp from entering the Great Lakes from the greater Mississippi River Basin. Three bighead carp were captured in Lake Erie, none later than the year 2000. By December 2019, at least 650 grass carps had been captured in the Great Lakes Basin, most in western Lake Erie, but none in Lake Superior. Grass carp reproduction has been documented in the Sandusky and Maumee rivers in Ohio, tributaries of Lake Erie. We also discuss environmental DNA (eDNA) results as an early detection and monitoring tool for bighead and silver carps. Detection of eDNA does not necessarily indicate presence of live fish, but bigheaded carp eDNA has been detected on the Great Lakes side of the barriers and in a small proportion of samples from the western basin of Lake Erie.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.07.018","usgsCitation":"Chapman, D., Benson, A.J., Embke, H.S., King, N.R., Kocovsky, P., Lewis, T.D., and Mandrak, N.E., 2021, Status of the major aquaculture carps of China in the Laurentian Great Lakes Basin: Journal of Great Lakes Research, v. 47, no. 1, p. 3-13, https://doi.org/10.1016/j.jglr.2020.07.018.","productDescription":"11 p.","startPage":"3","endPage":"13","ipdsId":"IP-116955","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":454473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.07.018","text":"Publisher Index Page"},{"id":377785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.8134765625,\n              40.84706035607122\n            ],\n            [\n              -86.68212890625,\n              40.84706035607122\n            ],\n            [\n              -86.68212890625,\n              42.53689200787315\n            ],\n            [\n              -88.8134765625,\n              42.53689200787315\n            ],\n            [\n              -88.8134765625,\n              40.84706035607122\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":797072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benson, Amy J. 0000-0002-4517-1466 abenson@usgs.gov","orcid":"https://orcid.org/0000-0002-4517-1466","contributorId":3836,"corporation":false,"usgs":true,"family":"Benson","given":"Amy","email":"abenson@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":797073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Embke, Holly S. 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":173026,"corporation":false,"usgs":true,"family":"Embke","given":"Holly","email":"","middleInitial":"S.","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":false,"id":797074,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Nicole R.","contributorId":239495,"corporation":false,"usgs":false,"family":"King","given":"Nicole","email":"","middleInitial":"R.","affiliations":[{"id":47892,"text":"University of Toledo Lake Erie Center, 6200 Bay Shore Road, Oregon, OH","active":true,"usgs":false}],"preferred":false,"id":797075,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":797076,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lewis, Teresa D.","contributorId":38407,"corporation":false,"usgs":true,"family":"Lewis","given":"Teresa","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":797078,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mandrak, Nicholas E.","contributorId":177869,"corporation":false,"usgs":false,"family":"Mandrak","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":797077,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228659,"text":"70228659 - 2021 - Institutional trust, beliefs, and evaluation of regulations, and management of chronic wasting disease (CWD)","interactions":[],"lastModifiedDate":"2022-02-16T17:47:27.261469","indexId":"70228659","displayToPublicDate":"2020-08-19T11:36:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Institutional trust, beliefs, and evaluation of regulations, and management of chronic wasting disease (CWD)","docAbstract":"<p><span>Institutional trust and perceptions of regulatory efficacy can affect support for management. This study examined how institutional trust, specific trust related to information/management, and support for/perceived efficacy of current regulations related to deer hunters’ attitudes about chronic wasting disease (CWD) management. Results are from a survey of southeastern Minnesota deer hunters from the 2018 season, and suggest acceptance of agency management by a majority of hunters. However, a substantial minority of hunters who perceived the management approach was “too aggressive” believed all CWD regulations were ineffective and opposed regulations other than mandatory disease testing and carcass movement restrictions. Results suggest that a lack of shared values, along with greater trust in agency CWD information and technical competence, correlated with perceiving the management approach as “too aggressive.” Future research is needed to understand the contextual nature of trust and how different elements of trust relate to acceptability of management actions.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2020.1808915","usgsCitation":"Schroeder, S., Landon, A., Cornicelli, L., Fulton, D.C., and McInenly, L., 2021, Institutional trust, beliefs, and evaluation of regulations, and management of chronic wasting disease (CWD): Human Dimensions of Wildlife, v. 26, no. 3, p. 228-244, https://doi.org/10.1080/10871209.2020.1808915.","productDescription":"17 p.","startPage":"228","endPage":"244","ipdsId":"IP-113497","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":396023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.6474609375,\n              43.54854811091286\n            ],\n            [\n              -91.14257812499999,\n              43.54854811091286\n            ],\n            [\n              -91.14257812499999,\n              45.089035564831036\n            ],\n            [\n              -93.6474609375,\n              45.089035564831036\n            ],\n            [\n              -93.6474609375,\n              43.54854811091286\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":279437,"corporation":false,"usgs":false,"family":"Schroeder","given":"Susan A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":834948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Adam","contributorId":279439,"corporation":false,"usgs":false,"family":"Landon","given":"Adam","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":834949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cornicelli, Louis J.","contributorId":279443,"corporation":false,"usgs":false,"family":"Cornicelli","given":"Louis J.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":834950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McInenly, Leslie","contributorId":279445,"corporation":false,"usgs":false,"family":"McInenly","given":"Leslie","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":834951,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70212553,"text":"70212553 - 2021 - Using simulation to understand annual sea lamprey marking rates on lake trout","interactions":[],"lastModifiedDate":"2022-01-06T15:34:24.412426","indexId":"70212553","displayToPublicDate":"2020-08-19T08:58:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Using simulation to understand annual sea lamprey marking rates on lake trout","docAbstract":"<p><span>Sea lampreys attack fish, killing some and leaving marks on others. Great Lakes fishery managers rely on observed marking rates to assess the success of the sea lamprey control program and estimate sea lamprey-induced mortality of lake trout. Because marking rates are only observed on survivors of sea lamprey attacks, they may not provide a reliable index of actual attack or mortality rates. To investigate the effect of survivor bias, we developed a simulation model representing a single season (June–December) of sea lamprey attacks. Simulated attack rates varied with month and lake trout size; simulated pierce and lethality rates varied with month alone. Surveyed marking rates were represented by simulated survivors in October; true rates were calculated from all simulated lake trout (dead and alive) in December. Simulation results were subsetted to include only those within the range of marking rates actually observed in the Great Lakes. Type A (piercing) marking rates were a good index of the sea lamprey attack rate and the sea lamprey-induced mortality rate if annual lethality rates were relatively constant. Type B (non-piercing) marking rates were a good index of the sea lamprey attack rate and the sea lamprey-induced mortality rate if annual pierce rates were relatively constant. Due to the uncertainty surrounding the pierce and lethality rates, we recommend that sea lamprey abundance information be incorporated in existing lake trout statistical catch-at-age models via a functional response component relating sea lamprey feeding to lake trout abundance, if possible.</span></p>","language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2020.08.008","issn":"0380-1330","usgsCitation":"Adams, J.V., Jones, M., and Bence, J., 2021, Using simulation to understand annual sea lamprey marking rates on lake trout: Journal of Great Lakes Research, v. 47, no. Suppl 1, p. S628-S638, https://doi.org/10.1016/j.jglr.2020.08.008.","productDescription":"11 p.","startPage":"S628","endPage":"S638","onlineOnly":"Y","ipdsId":"IP-109603","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":454477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.08.008","text":"Publisher Index Page"},{"id":377684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"Suppl 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":796837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Michael L.","contributorId":126763,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6600,"text":"Qauntitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":796838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":796839,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211821,"text":"70211821 - 2021 - Evidence of host switching: Sea lampreys disproportionately attack Chinook salmon when lake trout abundance is low in Lake Ontario","interactions":[],"lastModifiedDate":"2022-01-06T12:15:30.319681","indexId":"70211821","displayToPublicDate":"2020-08-19T08:11:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of host switching: Sea lampreys disproportionately attack Chinook salmon when lake trout abundance is low in Lake Ontario","docAbstract":"<p><span>Lake trout (</span><i>Salvelinus namaycush</i><span>) is the presumed preferred host of the invasive sea lamprey (</span><i>Petromyzon marinus</i><span>) in the Great Lakes, but little is understood about this preference outside of laboratory experiments. By preference we mean sea lamprey attacks on hosts are disproportionate to host relative abundance. The purpose of this study was to quantify host preference of sea lampreys in the field for the first time. We focused our analysis on Lake Ontario, where the two dominant host species for sea lampreys are lake trout and Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>). Sea lampreys exhibited a strong preference for lake trout when host abundance was&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>&amp;#x2265;</mo></mrow></math>\"><span class=\"MJX_Assistive_MathML\">≥</span></span></span><span>&nbsp;32% lake trout, but sea lamprey preference switched to Chinook salmon when host abundance was&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>&amp;#x2264;</mo></mrow></math>\"><span class=\"MJX_Assistive_MathML\">≤</span></span></span><span>&nbsp;13% lake trout. Model results were equivocal with respect to determining whether the primary predictor of sea lamprey preference was relative or absolute abundance of lake trout. Other evidence, particularly the different spatial distributions of the two hosts, suggests that sea lamprey preference for lake trout is based on a higher encounter probability, driven by absolute abundance of lake trout. This study confirms a widely held concern that observed sea lamprey-induced marking rates on lake trout, used to assess the status of sea lamprey control in the Great Lakes, can be influenced by the abundance of alternative hosts. As an alternative host for sea lamprey&nbsp;parasitism, Chinook salmon may contribute to the persistence of lake trout in Lake Ontario.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.03.003","usgsCitation":"Adams, J.V., and Jones, M.L., 2021, Evidence of host switching: Sea lampreys disproportionately attack Chinook salmon when lake trout abundance is low in Lake Ontario: Journal of Great Lakes Research, v. 47, no. Supp 1, p. S604-S611, https://doi.org/10.1016/j.jglr.2020.03.003.","productDescription":"8 p.","startPage":"S604","endPage":"S611","ipdsId":"IP-111599","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":454479,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.03.003","text":"Publisher Index Page"},{"id":377263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.8486328125,\n              43.004647127794435\n            ],\n            [\n              -75.91552734375,\n              43.004647127794435\n            ],\n            [\n              -75.91552734375,\n              44.29240108529005\n            ],\n            [\n              -79.8486328125,\n              44.29240108529005\n            ],\n            [\n              -79.8486328125,\n              43.004647127794435\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"Supp 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":795236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Michael L.","contributorId":139526,"corporation":false,"usgs":false,"family":"Jones","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":795237,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70212679,"text":"70212679 - 2021 - Environmental gradients of selection for an alpine-obligate bird, the white-tailed ptarmigan (Lagopus leucura)","interactions":[],"lastModifiedDate":"2021-01-19T16:51:01.09122","indexId":"70212679","displayToPublicDate":"2020-08-17T07:30:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1890,"text":"Heredity","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Environmental gradients of selection for an alpine-obligate bird, the white-tailed ptarmigan <i>(Lagopus leucura)</i>","title":"Environmental gradients of selection for an alpine-obligate bird, the white-tailed ptarmigan (Lagopus leucura)","docAbstract":"<p><span>The warming climate will expose alpine species adapted to a highly seasonal, harsh environment to novel environmental conditions. A species can shift their distribution, acclimate, or adapt in response to a new climate. Alpine species have little suitable habitat to shift their distribution, and the limits of acclimation will likely be tested by climate change in the long-term. Adaptive genetic variation may provide the raw material for species to adapt to this changing environment. Here, we use a genomic approach to describe adaptive divergence in an alpine-obligate species, the white-tailed ptarmigan (</span><i>Lagopus leucura</i><span>), a species distributed from Alaska to New Mexico, across an environmentally variable geographic range. Previous work has identified genetic structure and morphological, behavioral, and physiological differences across the species’ range; however, those studies were unable to determine the degree to which adaptive divergence is correlated with local variation in environmental conditions. We used a genome-wide dataset generated from 95 white-tailed ptarmigan distributed throughout the species’ range and genotype–environment association analyses to identify the genetic signature and environmental drivers of local adaptation. We detected associations between multiple environmental gradients and candidate adaptive loci, suggesting ptarmigan populations may be locally adapted to the plant community composition, elevation, local climate, and to the seasonality of the environment. Overall, our results suggest there may be groups within the species’ range with genetic variation that could be essential for adapting to a changing climate and helpful in guiding conservation action.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41437-020-0352-6","usgsCitation":"Zimmerman, S.J., Aldridge, C., Langin, K.M., Wann, G.T., Cornman, R.S., and Oyler-McCance, S.J., 2021, Environmental gradients of selection for an alpine-obligate bird, the white-tailed ptarmigan (Lagopus leucura): Heredity, v. 126, p. 117-131, https://doi.org/10.1038/s41437-020-0352-6.","productDescription":"16 p.","startPage":"117","endPage":"131","onlineOnly":"N","ipdsId":"IP-113643","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":454482,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41437-020-0352-6","text":"Publisher Index 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,{"id":70221787,"text":"70221787 - 2021 - Architecture of remnant trees influences native woody plant recruitment in abandoned Hawaiian pastures","interactions":[],"lastModifiedDate":"2021-07-07T00:57:40.11692","indexId":"70221787","displayToPublicDate":"2020-08-14T19:55:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Architecture of remnant trees influences native woody plant recruitment in abandoned Hawaiian pastures","docAbstract":"<p><span>Abandoned tropical pastures offer opportunities for passive and active restoration of native forest communities. Tree architecture of remnant canopy trees may be one important factor that can facilitate native plant recruitment in abandoned pastures but has largely been overlooked. Here, we evaluated patterns of native woody plant recruitment under remnant trees in abandoned pastures on Hawai’i Island and how these might be related to both tree architectural features and landscape variables. We measured native woody stems (excluding sprouts of the tree itself) in a 5&nbsp;m radius around the base of each tree and modeled total basal area of native stems as a function of tree architectural characteristics. Recruitment was positively correlated with tree height as well as horizontal woody area below 1&nbsp;m (tree structure that occurred below 1&nbsp;m and was &lt; 45° angle from the ground) around the base of trees. Tall trees likely attract more avian seed dispersers due to their higher visibility on the landscape and increased crown volume. Horizontal woody area likely provides establishment microsites that are above the pasture grass layer, similar to how dead or decaying logs act as nurse substrates. Unlike previous studies, we found little evidence that landscape variables such as distance to the intact forest or nearest canopy neighbor influenced understory recruitment. Tree architectural characteristics can be important predictors of native plant recruitment in abandoned tropical pastures and should be considered in addition to local and landscape-level variables.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11258-020-01072-7","usgsCitation":"Rehm, E.M., Yelenik, S.G., Smith, M.P., and D’Antonio, C.M., 2021, Architecture of remnant trees influences native woody plant recruitment in abandoned Hawaiian pastures: Plant Ecology, v. 222, p. 659-667, https://doi.org/10.1007/s11258-020-01072-7.","productDescription":"9 p.","startPage":"659","endPage":"667","ipdsId":"IP-099626","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":386982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"222","noUsgsAuthors":false,"publicationDate":"2020-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Rehm, Evan M","contributorId":216487,"corporation":false,"usgs":false,"family":"Rehm","given":"Evan","email":"","middleInitial":"M","affiliations":[{"id":39457,"text":"University of California at Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":818707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yelenik, Stephanie G. 0000-0002-9011-0769 syelenik@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":5251,"corporation":false,"usgs":true,"family":"Yelenik","given":"Stephanie","email":"syelenik@usgs.gov","middleInitial":"G.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":818708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Marley Puanani","contributorId":260775,"corporation":false,"usgs":false,"family":"Smith","given":"Marley","email":"","middleInitial":"Puanani","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":818709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"D’Antonio, Carla M.","contributorId":140014,"corporation":false,"usgs":false,"family":"D’Antonio","given":"Carla","email":"","middleInitial":"M.","affiliations":[{"id":13358,"text":"Environmental Studies, University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":818710,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70212479,"text":"70212479 - 2021 - Assessing the assumptions of classification agreement, accuracy, and predictable healing time of sea lamprey wounds on lake trout","interactions":[],"lastModifiedDate":"2022-01-06T15:31:53.762691","indexId":"70212479","displayToPublicDate":"2020-08-14T09:40:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the assumptions of classification agreement, accuracy, and predictable healing time of sea lamprey wounds on lake trout","docAbstract":"<p><span>Sea lamprey control in the Laurentian Great Lakes relies on records of sea lamprey wounds on lake trout to assess whether control efforts are supporting fisheries management targets. Wounding records have been maintained for 70&nbsp;years under the assumption that they are a reliable and accurate reflection of sea lamprey damage inflicted on fish populations. However, two key assumptions underpinning the use of these data need thorough evaluation: sea lamprey wounds follow a predictable healing progression, and individuals classify wounds accurately and reliably. To assess these assumptions, we conducted a workshop where experienced professionals examined lake trout with known sea lamprey wounds. For most lake trout, pictures were taken at regular intervals during the healing process. Our evaluation of wound pictures found high variability in healing times and wound progressions that did not conform to the currently used classification system. Participants’ wound classification agreement and accuracy were low and misclassification rates were high for most wound types. Training provided during the workshops did not markedly improve these metrics. We assessed wound classification accuracy for the first time and found assumptions of high accuracy and agreement are not met. We recommend misclassification rates be incorporated into models using wound data, sensitivity analyses be conducted to assess the potential impact of wound misclassification on estimates of key metrics (such as sea lamprey-induced mortality for lake trout), and alternative biomarkers be developed to quantify wound status with greater accuracy and precision.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.07.016","usgsCitation":"Firkus, T., Murphy, C., Adams, J.V., Treska, T., and Fischer, G.J., 2021, Assessing the assumptions of classification agreement, accuracy, and predictable healing time of sea lamprey wounds on lake trout: Journal of Great Lakes Research, v. 47, no. Supp 1, p. 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1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Firkus, Tyler","contributorId":238751,"corporation":false,"usgs":false,"family":"Firkus","given":"Tyler","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":796467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Cheryl","contributorId":204632,"corporation":false,"usgs":false,"family":"Murphy","given":"Cheryl","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":796468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":796469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Treska, Ted","contributorId":141105,"corporation":false,"usgs":false,"family":"Treska","given":"Ted","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":796470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fischer, Gregory J.","contributorId":178010,"corporation":false,"usgs":false,"family":"Fischer","given":"Gregory","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":796471,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70212861,"text":"70212861 - 2021 - Elemental and radionuclide exposures and uptakes by small rodents, invertebrates, and vegetation at active and post-production uranium mines in the Grand Canyon watershed","interactions":[],"lastModifiedDate":"2021-02-03T21:05:48.109321","indexId":"70212861","displayToPublicDate":"2020-08-13T20:16:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Elemental and radionuclide exposures and uptakes by small rodents, invertebrates, and vegetation at active and post-production uranium mines in the Grand Canyon watershed","docAbstract":"<p><span>The effects of breccia pipe uranium mining in the Grand Canyon watershed (Arizona) on ecological and cultural resources are largely unknown. We characterized the exposure of biota to uranium and co-occurring ore body elements during active ore production and at a site where ore production had recently concluded. Our results indicate that biota have taken up uranium and other elements (e.g., arsenic, cadmium, copper, molybdenum, uranium) from exposure to ore and surficial contamination, like blowing dust. Results indicate the potential for prolonged exposure to elements and radionuclides upon conclusion of active ore production. Mean radium-226 in deer mice was up to 4 times greater than uranium-234 and uranium-238 in those same samples; this may indicate a potential for, but does not necessarily imply, radium-226 toxicity. Soil screening benchmarks for uranium and molybdenum and other toxicity thresholds for arsenic, copper, selenium, uranium (e.g., growth effects) were exceeded in vegetation, invertebrates, and rodents (</span><i>Peromyscus</i><span>&nbsp;spp.</span><i>, Thomomys bottae, Tamias dorsalis, Dipodomys deserti</i><span>). However, the prevalence and severity of microscopic lesions in rodent tissues (as direct evidence of biological effects of uptake and exposure) could not be definitively linked to mining. Our data indicate that land managers might consider factors like species, seasonal changes in environmental concentrations, and bioavailability, when determining mine permitting and remediation in the Grand Canyon watershed. Ultimately, our results will be useful for site-specific ecological risk analysis and can support future decisions regarding the mineral extraction withdrawal in the Grand Canyon watershed and elsewhere.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2020.127908","usgsCitation":"Cleveland, D.M., Hinck, J.E., and Lankton, J.S., 2021, Elemental and radionuclide exposures and uptakes by small rodents, invertebrates, and vegetation at active and post-production uranium mines in the Grand Canyon watershed: Chemosphere, v. 263, Article: 127908, 15 p.; Data release, https://doi.org/10.1016/j.chemosphere.2020.127908.","productDescription":"Article: 127908, 15 p.; Data release","ipdsId":"IP-118076","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":454487,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2020.127908","text":"Publisher Index Page"},{"id":378086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378184,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94OVQO9","text":"USGS data release","linkHelpText":"Chemical analyses and histopathology of organisms and plants collected from breccia pipe uranium mine sites in the Grand Canyon watershed, 2015-2020"}],"country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.961181640625,\n              35.67514743608467\n            ],\n            [\n              -111.02783203125,\n              35.67514743608467\n            ],\n            [\n              -111.02783203125,\n              36.94989178681327\n            ],\n            [\n              -113.961181640625,\n              36.94989178681327\n            ],\n            [\n              -113.961181640625,\n              35.67514743608467\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"263","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":797718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":797719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":797720,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70214518,"text":"70214518 - 2021 - Movement of synthetic organic compounds in the food web after the introduction of invasive quagga mussels (Dreissena bugensis) in Lake Mead, Nevada and Arizona, USA","interactions":[],"lastModifiedDate":"2020-09-30T13:58:19.509788","indexId":"70214518","displayToPublicDate":"2020-08-12T08:53:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Movement of synthetic organic compounds in the food web after the introduction of invasive quagga mussels (Dreissena bugensis) in Lake Mead, Nevada and Arizona, USA","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0060\">Introductions of dreissenid mussels in North America have been a significant concern over the last few decades. This study assessed the distribution of synthetic organic compounds (SOCs) in the food web of Lake Mead, Nevada/Arizona, USA and how this distribution was influenced by the introduction of invasive quagga mussels. A clear spatial gradient of SOC concentrations in water was observed between lake basins downstream of populated areas and more rural areas. Within the food web, trophic magnification factors (TMF) indicated statistically significant biomagnification for nine, and biodilution for two, of 22 SOCs examined. The highest value recorded was for PCB 118 (TMF, 5.14), and biomagnification of methyl triclosan (TMF, 3.85) was also apparent. Biodilution was observed for Tonalide® (0.06) and Galaxolide® (0.38). Total SOC concentration in quagga mussels was higher than in three pelagic fishes. Also, 19 of 20 SOC examined in Largemouth Bass (<i>Micropterus salmoides</i>) had substantially lower concentrations in 2013, when quagga mussels had become well established, than in 2007/08, soon after quagga mussels were introduced. Estimates of SOC concentrations in the water column and quagga mussels suggest that a considerable portion (~10.5%) of the SOC mass in the lake has shifted from the pelagic to the benthic environments due to quagga mussel growth. These observations suggest that benthic species, such as the endangered Razorback Sucker, may be experiencing increased risk of SOC exposure. In addition, stable isotope analysis (carbon and nitrogen) indicated a decrease in the nutritional value of zooplankton to consumers (e.g., Razorback Sucker larvae) since quagga mussels became established. These changes could affect Razorback Sucker larval survival and recruitment. Results from this study strongly suggest that the introduction of quagga mussels has greatly altered the dynamics of SOCs and other processes in the food web of Lake Mead.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.141845","usgsCitation":"Goodbred, S.L., Rosen, M.R., Patino, R., Alvarez, D.A., Echols, K.R., King, K., and Umek, J., 2021, Movement of synthetic organic compounds in the food web after the introduction of invasive quagga mussels (Dreissena bugensis) in Lake Mead, Nevada and Arizona, USA: Science of the Total Environment, v. 752, 141845, 15 p., https://doi.org/10.1016/j.scitotenv.2020.141845.","productDescription":"141845, 15 p.","ipdsId":"IP-113905","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":436675,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MW2G0Q","text":"USGS data release","linkHelpText":"Data for Analysis of Endocrine Disrupting Compounds in Lake Mead National Recreation Area near Las Vegas, Nevada"},{"id":378899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada","otherGeospatial":"Lake Mead","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.0762939453125,\n              34.962497232449145\n            ],\n            [\n              -114.0216064453125,\n              34.962497232449145\n            ],\n            [\n              -114.0216064453125,\n              36.681636065615216\n            ],\n            [\n              -115.0762939453125,\n              36.681636065615216\n            ],\n            [\n              -115.0762939453125,\n              34.962497232449145\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"752","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Goodbred, Steven L. sgoodbred@usgs.gov","contributorId":497,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":799782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":799784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":799785,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Echols, Kathy R. 0000-0003-2631-9143 kechols@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-9143","contributorId":2799,"corporation":false,"usgs":true,"family":"Echols","given":"Kathy","email":"kechols@usgs.gov","middleInitial":"R.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":799786,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, Kerensa","contributorId":64087,"corporation":false,"usgs":true,"family":"King","given":"Kerensa","affiliations":[],"preferred":false,"id":799787,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Umek, John","contributorId":23423,"corporation":false,"usgs":true,"family":"Umek","given":"John","email":"","affiliations":[],"preferred":false,"id":799788,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70216477,"text":"70216477 - 2021 - Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO2","interactions":[],"lastModifiedDate":"2021-10-26T16:04:40.658298","indexId":"70216477","displayToPublicDate":"2020-08-12T07:12:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO2","docAbstract":"<p><span>Atmospheric carbon dioxide concentration ([CO</span><sub>2</sub><span>]) is increasing, which increases leaf‐scale photosynthesis and intrinsic water‐use efficiency. These direct responses have the potential to increase plant growth, vegetation biomass, and soil organic matter; transferring carbon from the atmosphere into terrestrial ecosystems (a carbon sink). A substantial global terrestrial carbon sink would slow the rate of [CO</span><sub>2</sub><span>] increase and thus climate change. However, ecosystem CO</span><sub>2</sub><span>&nbsp;responses are complex or confounded by concurrent changes in multiple agents of global change and evidence for a [CO</span><sub>2</sub><span>]‐driven terrestrial carbon sink can appear contradictory. Here we synthesize theory and broad, multidisciplinary evidence for the effects of increasing [CO</span><sub>2</sub><span>] (iCO</span><sub>2</sub><span>) on the global terrestrial carbon sink. Evidence suggests a substantial increase in global photosynthesis since pre‐industrial times. Established theory, supported by experiments, indicates that iCO</span><sub>2</sub><span>&nbsp;is likely responsible for about half of the increase. Global carbon budgeting, atmospheric data, and forest inventories indicate a historical carbon sink, and these apparent iCO</span><sub>2</sub><span>&nbsp;responses are high in comparison to experiments and predictions from theory. Plant mortality and soil carbon iCO</span><sub>2</sub><span>&nbsp;responses are highly uncertain. In conclusion, a range of evidence supports a positive terrestrial carbon sink in response to iCO</span><sub>2</sub><span>, albeit with uncertain magnitude and strong suggestion of a role for additional agents of global change.</span></p>","language":"English","publisher":"New Phytologist Foundation","doi":"10.1111/nph.16866","usgsCitation":"Walker, A.P., De Kauwe, M.G., Bastos, A., Belmecheri, S., Georgiou, K., Keeling, R.F., McMahon, S.M., Medlyn, B.E., Moore, D.J., Norby, R.J., Zaehle, S., Anderson-Teixeira, K.J., Battipaglia, G., Brienen, R.J., Cabugao, K.G., Cailleret, M., Campbell, E., Canadell, J.G., Ciais, P., Craig, M.E., Ellsworth, D., Farquhar, G., Fatichi, S., Fisher, J.B., Frank, D.C., Graven, H., Gu, L., Haverd, V., Heilman, K.A., Heimann, M., Hungate, B.A., Iverson, C.M., Joos, F., Jiang, M., Keenan, T.F., Knauer, J., Korner, C., Leshyk, V.O., Leuzinger, S., Liu, Y., MacBean, N., Malhi, Y., McVicar, T.R., Penuelas, J., Pongratz, J., Powell, A.S., Riutta, T., Sabot, M.E., Schleucher, J., Sitch, S., Smith, W.K., Sulman, B.N., Taylor, B., Terrer, C., Torn, M.S., Treseder, K.K., Trugman, A.T., Trumbore, S., van Mantgem, P., Voelker, S.L., Whelan, M.E., and Zuidema., P.A., 2021, Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO2: New Phytologist, v. 229, no. 5, p. 2413-2445, https://doi.org/10.1111/nph.16866.","productDescription":"33 p.","startPage":"2413","endPage":"2445","ipdsId":"IP-117764","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":454492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.16866","text":"Publisher Index Page"},{"id":380644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"229","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Walker, Anthony P. 0000-0003-0557-5594","orcid":"https://orcid.org/0000-0003-0557-5594","contributorId":167843,"corporation":false,"usgs":false,"family":"Walker","given":"Anthony","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":805243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Kauwe, Martin G 0000-0002-3399-9098","orcid":"https://orcid.org/0000-0002-3399-9098","contributorId":245046,"corporation":false,"usgs":false,"family":"De Kauwe","given":"Martin","email":"","middleInitial":"G","affiliations":[{"id":49061,"text":"ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW, 2052 Australia","active":true,"usgs":false}],"preferred":false,"id":805244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bastos, Ana 0000-0002-7368-7806","orcid":"https://orcid.org/0000-0002-7368-7806","contributorId":245047,"corporation":false,"usgs":false,"family":"Bastos","given":"Ana","email":"","affiliations":[{"id":49063,"text":"Ludwig Maximilians University of Munich, Luisenstr. 37, Munich, 80333 Germany","active":true,"usgs":false}],"preferred":false,"id":805245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belmecheri, Soumaya 0000-0003-1258-2741","orcid":"https://orcid.org/0000-0003-1258-2741","contributorId":202418,"corporation":false,"usgs":false,"family":"Belmecheri","given":"Soumaya","email":"","affiliations":[{"id":36425,"text":"Laboratory of Tree Ring Research, University of Arizona. 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0000-0002-0110-3381","orcid":"https://orcid.org/0000-0002-0110-3381","contributorId":245075,"corporation":false,"usgs":false,"family":"Voelker","given":"Steve","email":"","middleInitial":"L","affiliations":[{"id":49085,"text":"Department of Environmental and Forest Biology, State University of New York College of Environmental Science and Forestry, Syracuse, NY, 13210 USA","active":true,"usgs":false}],"preferred":false,"id":805302,"contributorType":{"id":1,"text":"Authors"},"rank":60},{"text":"Whelan, Mary E 0000-0002-2067-1835","orcid":"https://orcid.org/0000-0002-2067-1835","contributorId":245076,"corporation":false,"usgs":false,"family":"Whelan","given":"Mary","email":"","middleInitial":"E","affiliations":[{"id":49086,"text":"Department of Environmental Sciences, Rutgers University, 14 College Farm Road, New Brunswick, NJ, 08901 USA","active":true,"usgs":false}],"preferred":false,"id":805303,"contributorType":{"id":1,"text":"Authors"},"rank":61},{"text":"Zuidema., Peiter A 0000-0001-8100-1168","orcid":"https://orcid.org/0000-0001-8100-1168","contributorId":245077,"corporation":false,"usgs":false,"family":"Zuidema.","given":"Peiter","email":"","middleInitial":"A","affiliations":[{"id":49087,"text":"Forest Ecology and Forest Management group, Wageningen University, PO Box 47, Wageningen, 6700 AA the Netherlands","active":true,"usgs":false}],"preferred":false,"id":805304,"contributorType":{"id":1,"text":"Authors"},"rank":62}]}}
,{"id":70211871,"text":"70211871 - 2021 - Processes influencing marsh elevation change in low- and high-elevation zones of a temperate salt marsh","interactions":[],"lastModifiedDate":"2021-04-08T14:10:15.33543","indexId":"70211871","displayToPublicDate":"2020-08-11T09:34:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Processes influencing marsh elevation change in low- and high-elevation zones of a temperate salt marsh","docAbstract":"<p><span>The movement of salt marshes into uplands and marsh submergence as sea level rises is well documented; however, predicting how coastal marshes will respond to rising sea levels is constrained by a lack of process-based understanding of how various marsh zones adjust to changes in sea level. To assess the way in which salt marsh zones differ in their elevation response to sea-level change, and to evaluate how potential hydrologic drivers influence the response, surface elevation tables, marker horizons, and shallow rod surface elevation tables were installed in a Virginia salt marsh in three zones that differed in elevation and vegetation type. Decadal rates of elevation change, surface accretion, and shallow subsidence or expansion were examined in the context of hydrologic drivers that included local sea-level rise, flooding frequency, hurricane storm surge, and precipitation. Surface elevation increases were fastest in the low-elevation zone, intermediate in the middle-elevation zone, and slowest in the high-elevation zone. These rates are similar to (low and middle marsh) or less than (high marsh) local rates of sea-level rise. Root zone expansion, presumably due to root growth and organic matter accumulation, varied among the three salt marsh zones and accounted for 37%, but probably more, of the increase in marsh surface elevation. We infer that, during marsh transgression, soil-forming processes shift from biogenic (high marsh) to minerogenic (low marsh) in response, either directly or indirectly, to changing hydrologic drivers.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-020-00796-z","usgsCitation":"Blum, L.K., Christian, R., Cahoon, D., and Wiberg, P.L., 2021, Processes influencing marsh elevation change in low- and high-elevation zones of a temperate salt marsh: Estuaries and Coasts, v. 44, p. 818-833, https://doi.org/10.1007/s12237-020-00796-z.","productDescription":"16 p.","startPage":"818","endPage":"833","onlineOnly":"Y","ipdsId":"IP-111984","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":377331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Northampton County","otherGeospatial":"Phillips Creek Marsh","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.7342529296875,\n              37.91170058826019\n            ],\n            [\n              -75.97320556640625,\n              37.56417412088097\n            ],\n            [\n              -76.07757568359375,\n              37.25000751785145\n            ],\n            [\n              -75.97869873046874,\n              37.083666782415534\n            ],\n            [\n              -75.7781982421875,\n              37.21064411993447\n            ],\n            [\n              -75.59967041015625,\n              37.55328764595765\n            ],\n            [\n              -75.5145263671875,\n              37.80544394934271\n            ],\n            [\n              -75.7342529296875,\n              37.91170058826019\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2020-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Blum, Linda K. 0000-0002-5252-6106","orcid":"https://orcid.org/0000-0002-5252-6106","contributorId":208046,"corporation":false,"usgs":false,"family":"Blum","given":"Linda","email":"","middleInitial":"K.","affiliations":[{"id":37559,"text":"University of Virginia, Charlottesville, VA","active":true,"usgs":false}],"preferred":false,"id":795480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christian, Robert R.","contributorId":237855,"corporation":false,"usgs":false,"family":"Christian","given":"Robert R.","affiliations":[{"id":36317,"text":"East Carolina University","active":true,"usgs":false}],"preferred":false,"id":795481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":219657,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":795482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiberg, Patricia L.","contributorId":237856,"corporation":false,"usgs":false,"family":"Wiberg","given":"Patricia","email":"","middleInitial":"L.","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":795483,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219517,"text":"70219517 - 2021 - Disentangling the effects of multiple fires on spatially interspersed sagebrush (Artemisia spp.) communities","interactions":[],"lastModifiedDate":"2021-04-12T14:09:43.719956","indexId":"70219517","displayToPublicDate":"2020-08-11T09:01:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Disentangling the effects of multiple fires on spatially interspersed sagebrush (<i>Artemisia</i> spp.) communities","title":"Disentangling the effects of multiple fires on spatially interspersed sagebrush (Artemisia spp.) communities","docAbstract":"<h3 id=\"jvs12937-sec-0001-title\" class=\"article-section__sub-title section1\">Questions</h3><p>Relative to a landscape with a mosaic of two sagebrush community types and increasing fire frequency, we asked: (a) do vegetation characteristics vary significantly with number of times burned for each sagebrush community; (b) how do vegetation responses to different fire frequencies compare between the two sagebrush communities?</p><h3 id=\"jvs12937-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Columbia Plateau Ecoregion, Washington, USA.</p><h3 id=\"jvs12937-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We sampled vegetation across a landscape that burned three times over a 10‐year period in two sagebrush community types that are interspersed on unique land forms: big sagebrush (<i>Artemisia tridentata</i>) communities that occur on small “mounds” and scabland sagebrush (<i>A.&nbsp;rigida</i>) communities that occur on surrounding “flats.” Spatially overlapping fires permitted a balanced sampling design to assess unburned and once‐, twice‐, and thrice‐burned locations for each land form/community type. We utilized a suite of statistical analyses to determine differences among plant functional groups and biomass among unburned/burned strata by land form and compared results between land forms.</p><h3 id=\"jvs12937-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>Big sagebrush and scabland sagebrush communities responded uniquely to multiple fires, due to different fuel loadings, fire severities, succession and invasion dynamics. Big sagebrush experienced nearly complete shrub loss and conversion from exotic‐invaded shrubland to exotic annual grassland after only one fire. In contrast, scabland sagebrush retained a minor shrub component and higher relative cover of native herbaceous species, even after three fires. Both communities retained cover of native perennial grasses, including shallow‐ and deep‐rooted species, likely reflecting decreasing fire intensity with number of times burned.</p><h3 id=\"jvs12937-sec-0005-title\" class=\"article-section__sub-title section1\">Conclusions</h3><p>Despite different community‐level responses, increasing fire frequency is transforming the entire landscape to a non‐native/native grassland mix. Quantifying unique ecosystem responses to altered wildfire regimes is critical to understanding the relative resilience of communities to disturbance and their resistance to exotic species invasion (and community type conversion). Management actions may help to maintain spatial heterogeneity of ecosystems and fire‐tolerant native species.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12937","usgsCitation":"Shinneman, D.J., McIlroy, S., and de Graaff, M., 2021, Disentangling the effects of multiple fires on spatially interspersed sagebrush (Artemisia spp.) communities: Journal of Vegetation Science, v. 32, no. 1, e12937, 14 p., https://doi.org/10.1111/jvs.12937.","productDescription":"e12937, 14 p.","ipdsId":"IP-118106","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":436676,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F2W9RF","text":"USGS data release","linkHelpText":"Vegetation data from burned and unburned sagebrush communities in eastern Washington (2016)"},{"id":385012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.54248046874999,\n              47.68018294648414\n            ],\n            [\n              -118.10302734374999,\n              47.68018294648414\n            ],\n            [\n              -118.10302734374999,\n              47.90161354142077\n            ],\n            [\n              -118.54248046874999,\n              47.90161354142077\n            ],\n            [\n              -118.54248046874999,\n              47.68018294648414\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIlroy, Susan K. 0000-0001-5088-3700 smcilroy@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-3700","contributorId":169446,"corporation":false,"usgs":true,"family":"McIlroy","given":"Susan","email":"smcilroy@usgs.gov","middleInitial":"K.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Graaff, Marie-Anne","contributorId":195121,"corporation":false,"usgs":false,"family":"de Graaff","given":"Marie-Anne","email":"","affiliations":[],"preferred":false,"id":813904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70217771,"text":"70217771 - 2021 - Larval Coregonus spp. diets and zooplankton community patterns in the Apostle Islands, Lake Superior","interactions":[],"lastModifiedDate":"2021-02-03T13:49:45.054665","indexId":"70217771","displayToPublicDate":"2020-08-11T07:03:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Larval <i>Coregonus</i> spp. diets and zooplankton community patterns in the Apostle Islands, Lake Superior","title":"Larval Coregonus spp. diets and zooplankton community patterns in the Apostle Islands, Lake Superior","docAbstract":"<p><span>With the exception of lake whitefish (</span><i>Coregonus clupeaformis</i><span>), relatively little is known about the early life history of larval coregonines in the Laurentian Great Lakes. For example, our knowledge of the feeding ecology of larval coregonines (excluding lake whitefish) is based on only 900 stomachs reported in the literature. Here, we describe the diets and demographics of larval coregonines from ice-out to late July, and the contemporaneous zooplankton community, in the Apostle Islands region of Lake Superior in 2018. Exogenous feeding was evident among the smallest larvae (down to 6&nbsp;mm). Percent of larvae with food in their stomachs increased and yolk reserves decreased as larvae grew from 10 to 13&nbsp;mm. A majority of the diet (58%) was copepod nauplii, with generally positive selection for adult copepods and&nbsp;</span><i>Holopedium</i><span>. The patterns in exogenous feeding and yolk sac absorption were similar to observations in Lake Superior in the 1970s. Diets were also generally similar, although&nbsp;</span><i>Limnocalanus</i><span>,&nbsp;</span><i>Holopedium</i><span>, and zooplankton eggs were more prevalent in 2018 than the 1970s. Demographic data suggested at least two distinct cohorts and/or coregonine species in 2018. Post-hoc genetic testing of larvae in a parallel study suggested our samples comprised a mix of predominantly cisco (</span><i>C. artedi</i><span>), kiyi (</span><i>C. kiyi</i><span>), and bloater (</span><i>C. hoyi</i><span>). Early life history studies, when coupled with emerging genetic techniques that can identify larval coregonines to species, will provide a powerful combination to better understand population dynamics of coregonines at a time of ongoing restoration and rehabilitation efforts throughout the Great Lakes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.07.001","usgsCitation":"Lucke, V.S., Stewart, T., Vinson, M., Glase, J.D., and Stockwell, J.D., 2021, Larval Coregonus spp. diets and zooplankton community patterns in the Apostle Islands, Lake Superior: Journal of Great Lakes Research, v. 46, no. 5, p. 1391-1401, https://doi.org/10.1016/j.jglr.2020.07.001.","productDescription":"11 p.","startPage":"1391","endPage":"1401","ipdsId":"IP-118472","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":454497,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.07.001","text":"Publisher Index Page"},{"id":382869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg","text":"https://pubs.er.usgs.gov/manager/#cataloging-pane"}],"country":"United States","otherGeospatial":"Apostle Islands, Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.36093139648436,\n              46.58246235035155\n            ],\n            [\n              -90.18814086914062,\n              46.58246235035155\n            ],\n            [\n              -90.18814086914062,\n              47.135556272359196\n            ],\n            [\n              -91.36093139648436,\n              47.135556272359196\n            ],\n            [\n              -91.36093139648436,\n              46.58246235035155\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lucke, Verena S.","contributorId":248687,"corporation":false,"usgs":false,"family":"Lucke","given":"Verena","email":"","middleInitial":"S.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":809619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, Taylor R.","contributorId":203262,"corporation":false,"usgs":false,"family":"Stewart","given":"Taylor R.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":809620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vinson, Mark R. 0000-0001-5256-9539 mvinson@usgs.gov","orcid":"https://orcid.org/0000-0001-5256-9539","contributorId":3800,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark","email":"mvinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":809621,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glase, Jay D.","contributorId":248690,"corporation":false,"usgs":false,"family":"Glase","given":"Jay","email":"","middleInitial":"D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":809622,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":809623,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70213037,"text":"70213037 - 2021 - Nitrogen enrichment reduces nitrogen and phosphorus resorption through changes to species resorption and plant community composition","interactions":[],"lastModifiedDate":"2021-05-14T11:54:36.193092","indexId":"70213037","displayToPublicDate":"2020-08-10T06:47:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen enrichment reduces nitrogen and phosphorus resorption through changes to species resorption and plant community composition","docAbstract":"<p><span>Anthropogenic nitrogen (N) deposition has affected plant community composition and nutrient cycling in terrestrial ecosystems worldwide. This includes changes to the way plants use and recycle nutrients, including effects on nutrient resorption, which is a key process through which plants recover nutrients from tissue during senescence. Nutrient resorption has considerable adaptive and functional significance for plants and helps regulate core ecosystem processes such as decomposition. However, our understanding of how N deposition affects nutrient resorption and, in particular, of how N inputs alter ecosystem resorption via changes to existing species’ resorption compared with changes to community composition remains poor. To disentangle the role of species&nbsp;</span><i>versus</i><span>&nbsp;community composition controls driving variation in nutrient resorption responses to N inputs, we carried out an experiment with six different N addition rates in a temperate steppe. We found that species-scale nutrient resorption responses to N enrichment were variable; for example, only half of the measured species reduced both N and P resorption efficiency in response to increased N inputs. In contrast, community-scale responses consistently resulted in reduced N and P resorption. Still, N-induced changes in community composition were a weaker control on overall resorption responses than were the effects on individual species; however, it was the synergistic interaction between the two that resulted in the large total reductions of nutrient resorption in the face of increased N. Taken together, our results highlight that understanding and predicting nutrient resorption responses will be most accurately scaled by accounting not only for species’ reductions in resorption but also for changes in community composition.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10021-020-00537-0","usgsCitation":"Lu, X., Hou, S., Reed, S., Yin, J., Hu, Y., Wei, H., Zhang, Z., Yang, G., Liu, Z., and Han, X., 2021, Nitrogen enrichment reduces nitrogen and phosphorus resorption through changes to species resorption and plant community composition: Ecosystems, v. 24, p. 602-612, https://doi.org/10.1007/s10021-020-00537-0.","productDescription":"11 p.","startPage":"602","endPage":"612","onlineOnly":"N","ipdsId":"IP-103635","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":378182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","noUsgsAuthors":false,"publicationDate":"2020-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Lu, Xiao-Tao","contributorId":196421,"corporation":false,"usgs":false,"family":"Lu","given":"Xiao-Tao","email":"","affiliations":[],"preferred":false,"id":798022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hou, Shuang-Li","contributorId":196422,"corporation":false,"usgs":false,"family":"Hou","given":"Shuang-Li","email":"","affiliations":[],"preferred":false,"id":798023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yin, Jiang-Xia","contributorId":239886,"corporation":false,"usgs":false,"family":"Yin","given":"Jiang-Xia","email":"","affiliations":[{"id":48023,"text":"School of Life Sciences, Liaoning University, Shenyang 110036, China","active":true,"usgs":false}],"preferred":false,"id":798025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hu, Yan-Yu","contributorId":196423,"corporation":false,"usgs":false,"family":"Hu","given":"Yan-Yu","email":"","affiliations":[],"preferred":false,"id":798026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wei, Hai-Wei","contributorId":196424,"corporation":false,"usgs":false,"family":"Wei","given":"Hai-Wei","email":"","affiliations":[],"preferred":false,"id":798027,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Zhi-Wei","contributorId":239887,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhi-Wei","email":"","affiliations":[{"id":48023,"text":"School of Life Sciences, Liaoning University, Shenyang 110036, China","active":true,"usgs":false}],"preferred":false,"id":798028,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yang, Guo-Jiao","contributorId":239888,"corporation":false,"usgs":false,"family":"Yang","given":"Guo-Jiao","email":"","affiliations":[{"id":48025,"text":"Erguna Forest-Steppe Ecotone Research Station, CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China","active":true,"usgs":false}],"preferred":false,"id":798029,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Zhuo-Yi","contributorId":239889,"corporation":false,"usgs":false,"family":"Liu","given":"Zhuo-Yi","email":"","affiliations":[{"id":48025,"text":"Erguna Forest-Steppe Ecotone Research Station, CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China","active":true,"usgs":false}],"preferred":false,"id":798030,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Han, Xing-Guo","contributorId":239890,"corporation":false,"usgs":false,"family":"Han","given":"Xing-Guo","email":"","affiliations":[{"id":48026,"text":"State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China","active":true,"usgs":false}],"preferred":false,"id":798031,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70213293,"text":"70213293 - 2021 - Mortality predispositions of conifers across western USA","interactions":[],"lastModifiedDate":"2020-12-29T21:33:00.393927","indexId":"70213293","displayToPublicDate":"2020-08-09T12:07:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Mortality predispositions of conifers across western USA","docAbstract":"<ul class=\"unordered-list\"><li>Conifer mortality rates are increasing in western North America, but the physiological mechanisms underlying this trend are not well understood.</li><li>We examined tree‐ring‐based radial growth along with stable carbon (C) and oxygen (O) isotope composition (<i>δ</i><sup>13</sup>C and<span>&nbsp;</span><i>δ</i><sup>18</sup>O, respectively) of dying and surviving conifers at eight old‐growth forest sites across a strong moisture gradient in the western USA to retrospectively investigate mortality predispositions.</li><li>Compared with surviving trees, lower growth of dying trees was detected at least one decade before mortality at seven of the eight sites. Intrinsic water‐use efficiency increased over time in both dying and surviving trees, with a weaker increase in dying trees at five of the eight sites.</li><li>C starvation was a strong correlate of conifer mortality based on a conceptual model incorporating growth,<span>&nbsp;</span><i>δ</i><sup>13</sup>C, and<span>&nbsp;</span><i>δ</i><sup>18</sup>O. However, this approach does not capture processes that occur in the final months of survival. Ultimately, C starvation may lead to increased mortality vulnerability, but hydraulic failure or biotic attack may dominate the process during the end stages of mortality in these conifers.</li></ul>","language":"English","publisher":"Wiley","doi":"10.1111/nph.16864","usgsCitation":"Wang, W., English, N.B., Grossiord, C., Gessler, A., Das, A., Stephenson, N.L., Baisan, C.H., Allen, C.D., and McDowell, N.G., 2021, Mortality predispositions of conifers across western USA: New Phytologist, v. 229, no. 2, p. 831-844, https://doi.org/10.1111/nph.16864.","productDescription":"14 p.","startPage":"831","endPage":"844","ipdsId":"IP-121656","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489040,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Mortality_predispositions_of_conifers_across_Western_USA/14450895","text":"External Repository"},{"id":381745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.27734374999999,\n              31.87755764334002\n            ],\n            [\n              -103.623046875,\n              31.87755764334002\n            ],\n            [\n              -103.623046875,\n              49.03786794532644\n            ],\n            [\n              -124.27734374999999,\n              49.03786794532644\n            ],\n            [\n              -124.27734374999999,\n              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Sciences","active":true,"usgs":false}],"preferred":false,"id":798964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grossiord, Charlotte","contributorId":207749,"corporation":false,"usgs":false,"family":"Grossiord","given":"Charlotte","email":"","affiliations":[{"id":37625,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":798965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gessler, Arthur","contributorId":199448,"corporation":false,"usgs":false,"family":"Gessler","given":"Arthur","email":"","affiliations":[],"preferred":false,"id":798966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":798967,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":798968,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baisan, Christopher H.","contributorId":204187,"corporation":false,"usgs":false,"family":"Baisan","given":"Christopher","email":"","middleInitial":"H.","affiliations":[{"id":28236,"text":"Univ of Arizona","active":true,"usgs":false}],"preferred":false,"id":798969,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":798970,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McDowell, Nate G.","contributorId":207743,"corporation":false,"usgs":false,"family":"McDowell","given":"Nate","email":"","middleInitial":"G.","affiliations":[{"id":37622,"text":"Earth Systems Science Division, Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":798971,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70211942,"text":"70211942 - 2021 - Forest density intensifies the importance of snowpack to growth in water-limited pine forests","interactions":[],"lastModifiedDate":"2021-01-19T16:06:39.699255","indexId":"70211942","displayToPublicDate":"2020-08-04T12:10:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Forest density intensifies the importance of snowpack to growth in water-limited pine forests","docAbstract":"<p><span>Warming climate and resulting declines in seasonal snowpack have been associated with drought stress and tree mortality in seasonally snow‐covered watersheds worldwide. Meanwhile, increasing forest density has further exacerbated drought stress due to intensified tree‐tree competition. Using a uniquely detailed dataset of population‐level forest growth (n=2495 sampled trees), we examined how inter‐annual variability in growth relates to snow volume across a range of forest densities (e.g., competitive environments) in sites spanning a broad aridity gradient across the United States. Forest growth was positively related to snowpack in water‐limited forests located at low latitude, and this relationship was intensified by forest density. However, forest growth was negatively related to snowpack in a higher latitude more energy‐limited forest, and this relationship did not interact with forest density. Future reductions in snowpack may have contrasting consequences, as growth may respond positively in energy‐limited forests and negatively in water‐limited forests; however, these declines may be mitigated by reducing stand density through forest thinning.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2211","usgsCitation":"Gleason, K.E., Bradford, J., D’Amato, A.W., Fraver, S., Palik, B.J., and Battaglia, M.A., 2021, Forest density intensifies the importance of snowpack to growth in water-limited pine forests: Ecological Applications, v. 31, no. 1, e02211, 12 p., https://doi.org/10.1002/eap.2211.","productDescription":"e02211, 12 p.","ipdsId":"IP-092237","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":454503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2211","text":"Publisher Index Page"},{"id":377424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Gleason, Kelly Erika 0000-0001-5619-7568 kgleason@usgs.gov","orcid":"https://orcid.org/0000-0001-5619-7568","contributorId":238040,"corporation":false,"usgs":true,"family":"Gleason","given":"Kelly","email":"kgleason@usgs.gov","middleInitial":"Erika","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false},{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false}],"preferred":false,"id":795905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraver, Shawn","contributorId":91379,"corporation":false,"usgs":false,"family":"Fraver","given":"Shawn","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":795906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palik, Brian J.","contributorId":190301,"corporation":false,"usgs":false,"family":"Palik","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":795907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Battaglia, Michael A.","contributorId":228827,"corporation":false,"usgs":false,"family":"Battaglia","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":795908,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70218475,"text":"70218475 - 2021 - Identifying sources and year classes contributing to invasive grass carp in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2021-03-01T15:41:18.367287","indexId":"70218475","displayToPublicDate":"2020-08-02T09:31:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Identifying sources and year classes contributing to invasive grass carp in the Laurentian Great Lakes","docAbstract":"<p><span>Relative contributions of aquaculture-origin and naturally-reproduced grass carp (</span><i>Ctenopharyngodon idella</i><span>) in the Laurentian Great Lakes have been unknown. We assessed occurrence and distribution of aquaculture-origin and wild grass carp in the Great Lakes using ploidy and otolith stable oxygen isotope (δ</span><sup>18</sup><span>O) data. We inferred natal river and dispersal from natal location for wild grass carp using otolith microchemistry and estimated ages of wild and aquaculture-origin fish to infer years in which natural reproduction and introductions occurred. Otolith δ</span><sup>18</sup><span>O indicated that the Great Lakes contain a mixture of wild grass carp and both diploid and triploid, aquaculture-origin grass carp. Eighty-eight percent of wild fish (n&nbsp;=&nbsp;49 of 56) were caught in the Lake Erie basin. Otolith microchemistry indicated that most wild grass carp likely originated in the Sandusky or Maumee rivers where spawning has previously been confirmed, but results suggested recruitment from at least one other Great Lakes tributary may have occurred. Three fish showed evidence of movement between their inferred natal river in western Lake Erie and capture locations in other lakes in the Great Lakes basin. Age estimates indicated that multiple year classes of wild grass carp are present in the Lake Erie basin, recruitment to adulthood has occurred, and introductions of aquaculture-origin fish have happened over multiple years. Knowledge of sources contributing to grass carp in the Great Lakes basin will be useful for informing efforts to prevent further introductions and spread and to develop strategies to contain and control natural recruitment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.07.008","usgsCitation":"Whitledge, G.W., Chapman, D., Farver, J., Herbst, S., Mandrak, N.E., Miner, J., Pangle, K.L., and Kocovsky, P., 2021, Identifying sources and year classes contributing to invasive grass carp in the Laurentian Great Lakes: Journal of Great Lakes Research, v. 47, no. 1, p. 14-28, https://doi.org/10.1016/j.jglr.2020.07.008.","productDescription":"15 p.","startPage":"14","endPage":"28","ipdsId":"IP-114172","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":454505,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.07.008","text":"Publisher Index Page"},{"id":436677,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99ZC08Q","text":"USGS data release","linkHelpText":"Development of an age estimation method for Grass Carp from North America"},{"id":383687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, New York, Ohio, Ontario","otherGeospatial":"Cuyahoga River, Grand River, Lake Erie, Lake St. Clair, Maumee River, Niagara River, Portage River, River Raisin, Sandusky River, Welland Canal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.5947265625,\n              41.08763212467916\n            ],\n            [\n              -78.3544921875,\n              41.08763212467916\n            ],\n            [\n              -78.3544921875,\n              44.42593442145313\n            ],\n            [\n              -84.5947265625,\n              44.42593442145313\n            ],\n            [\n              -84.5947265625,\n              41.08763212467916\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whitledge, Gregory W.","contributorId":205604,"corporation":false,"usgs":false,"family":"Whitledge","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":32417,"text":"Southern Illinois University-Carbondale","active":true,"usgs":false}],"preferred":false,"id":811130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":811131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farver, John","contributorId":223527,"corporation":false,"usgs":false,"family":"Farver","given":"John","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":811132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herbst, Seth","contributorId":252926,"corporation":false,"usgs":false,"family":"Herbst","given":"Seth","affiliations":[{"id":50471,"text":"Michigan Department of Natural Resources, Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":811133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mandrak, Nicholas E.","contributorId":177869,"corporation":false,"usgs":false,"family":"Mandrak","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":811134,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miner, Jeffrey G.","contributorId":252927,"corporation":false,"usgs":false,"family":"Miner","given":"Jeffrey G.","affiliations":[{"id":50472,"text":"Department of Biological Sciences, Bowling Green State University, Bowling Green, OH","active":true,"usgs":false}],"preferred":false,"id":811135,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pangle, Kevin L.","contributorId":205579,"corporation":false,"usgs":false,"family":"Pangle","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":37116,"text":"Department of Biology, Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":811136,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":811137,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70213321,"text":"70213321 - 2021 - Lake trout growth is sensitive to spring temperature in southwest Alaska lakes","interactions":[],"lastModifiedDate":"2020-12-23T18:46:36.427896","indexId":"70213321","displayToPublicDate":"2020-07-30T10:32:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Lake trout growth is sensitive to spring temperature in southwest Alaska lakes","docAbstract":"<p><span>In high‐latitude lakes, air temperature is an important driver of ice cover thickness and duration, which in turn influence water temperature and primary production supporting lake consumers and predators. In lieu of multidecadal observational records necessary to assess the response of lakes to long‐term warming, we used otolith‐based growth records from a long‐lived resident lake fish, lake trout (</span><i>Salvelinus namaycush),</i><span>&nbsp;as a proxy for production. Lake trout were collected from seven deep, oligotrophic lakes in Lake Clark National Park and Preserve on in southwest Alaska that varied in the presence of marine‐derived nutrients (MDN) from anadromous sockeye salmon (</span><i>Oncorhynchus nerka)</i><span>. Linear mixed‐effects models were used to partition variation in lake trout growth by age and calendar‐year and model comparisons tested for a mean increase in lake trout growth with sockeye salmon presence. Year effects from the best mixed‐effects model were subsequently compared to indices of temperature, lake ice, and regional indices of sockeye salmon escapement. A strong positive correlation between annual lake trout growth and temperature suggested that warmer springs, earlier lake ice break‐up, and a longer ice‐free growing season increase lake trout growth via previously identified bottom‐up increases in production with warming. Accounting for differences in the presence or annual escapement of sockeye salmon with available data did not improve model fit. Collectively with other studies, the results suggest that productivity of subarctic lakes has benefitted from warming spring temperatures and that temperature can synchronise otolith growth across lakes with and without sockeye salmon MDN.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12566","usgsCitation":"von Biela, V.R., Black, B.A., Young, D.B., van der Sleen, P., Bartz, K.K., and Zimmerman, C.E., 2021, Lake trout growth is sensitive to spring temperature in southwest Alaska lakes: Ecology of Freshwater Fish, v. 30, no. 1, p. 88-99, https://doi.org/10.1111/eff.12566.","productDescription":"12 p.","startPage":"88","endPage":"99","ipdsId":"IP-108517","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":436679,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92YV00Z","text":"USGS data release","linkHelpText":"Lake Trout Otolith Growth Increment Measurements, Lake Clark National Park and Preserve, Alaska, 1979-2012"},{"id":378510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lake Clark National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154.852294921875,\n              59.58441353704829\n            ],\n            [\n              -152.127685546875,\n              59.58441353704829\n            ],\n            [\n              -152.127685546875,\n              61.59071955121135\n            ],\n            [\n              -154.852294921875,\n              61.59071955121135\n            ],\n            [\n              -154.852294921875,\n              59.58441353704829\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":799026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Black, Bryan A.","contributorId":68448,"corporation":false,"usgs":false,"family":"Black","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":799027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Daniel","contributorId":58468,"corporation":false,"usgs":false,"family":"Young","given":"Daniel","affiliations":[{"id":35763,"text":"National Park Service, Lake Clark National Park and Preserve, Port Alsworth, AK","active":true,"usgs":false}],"preferred":false,"id":799028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van der Sleen, Peter","contributorId":203860,"corporation":false,"usgs":false,"family":"van der Sleen","given":"Peter","email":"","affiliations":[{"id":36731,"text":"University of Texas Marine Science Institute","active":true,"usgs":false}],"preferred":false,"id":799029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartz, Krista K.","contributorId":200705,"corporation":false,"usgs":false,"family":"Bartz","given":"Krista","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":799030,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":799031,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70211325,"text":"70211325 - 2021 - Amazon sediment transport and accumulation along the continuum of mixed fluvial and marine processes","interactions":[],"lastModifiedDate":"2021-01-18T22:59:16.372724","indexId":"70211325","displayToPublicDate":"2020-07-24T10:33:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":811,"text":"Annual Review of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Amazon sediment transport and accumulation along the continuum of mixed fluvial and marine processes","docAbstract":"Sediment transfer from land to ocean begins in coastal settings and, for large rivers such as the Amazon, has dramatic impacts over thousands of kilometers covering diverse environmental conditions. In the relatively natural Amazon tidal river, combinations of fluvial and marine processes transition toward the ocean, affecting the transport and accumulation of sediment in floodplains and tributary mouths. The enormous discharge of Amazon fresh water causes estuarine processes to occur on the continental shelf, where much sediment accumulation creates a large clinoform structure and where additional sediment accumulates along its shoreward boundary in tidal flats and mangrove forests. Some remaining Amazon sediment is transported beyond the region near the river mouth, and fluvial forces on it diminish. Numerous perturbations to Amazon sediment transport and accumulation occur naturally, but human actions will likely dominate future change and now is the time to document, understand, and mitigate their impacts.","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-marine-010816-060457","usgsCitation":"Nittrouer, C.A., DeMaster, D.J., Kuehl, S., Figueiredo, A.G., Sternberg, R., Faria, L.E., Silveira, O.M., Allison, M.A., Kineke, G.C., Ogston, A.S., Souza Filho, P., Asp, N.E., Nowacki, D.J., and Fricke, A.T., 2021, Amazon sediment transport and accumulation along the continuum of mixed fluvial and marine processes: Annual Review of Marine Science, v. 13, p. 501-536, https://doi.org/10.1146/annurev-marine-010816-060457.","productDescription":"36 p.","startPage":"501","endPage":"536","ipdsId":"IP-117404","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":454507,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-marine-010816-060457","text":"Publisher Index Page"},{"id":376687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Amazon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -54.4921875,\n              -2.1967272417616583\n            ],\n            [\n              -47.724609375,\n              -2.1967272417616583\n            ],\n            [\n              -47.724609375,\n              1.5818302639606454\n            ],\n            [\n              -54.4921875,\n              1.5818302639606454\n            ],\n            [\n              -54.4921875,\n              -2.1967272417616583\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nittrouer, Charles A.","contributorId":51218,"corporation":false,"usgs":false,"family":"Nittrouer","given":"Charles","email":"","middleInitial":"A.","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":793785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeMaster, David J.","contributorId":229655,"corporation":false,"usgs":false,"family":"DeMaster","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":793786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuehl, Steven A.","contributorId":229656,"corporation":false,"usgs":false,"family":"Kuehl","given":"Steven A.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":793787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Figueiredo, Alberto G.","contributorId":229657,"corporation":false,"usgs":false,"family":"Figueiredo","given":"Alberto","email":"","middleInitial":"G.","affiliations":[{"id":41699,"text":"Universidade Federal Fluminense","active":true,"usgs":false}],"preferred":false,"id":793788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sternberg, Richard W.","contributorId":229658,"corporation":false,"usgs":false,"family":"Sternberg","given":"Richard W.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":793789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Faria, L. Ercilio C.","contributorId":229659,"corporation":false,"usgs":false,"family":"Faria","given":"L.","email":"","middleInitial":"Ercilio C.","affiliations":[{"id":41700,"text":"Universidade Federal do Pará","active":true,"usgs":false}],"preferred":false,"id":793790,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Silveira, Odete M.","contributorId":229660,"corporation":false,"usgs":false,"family":"Silveira","given":"Odete","email":"","middleInitial":"M.","affiliations":[{"id":41700,"text":"Universidade Federal do Pará","active":true,"usgs":false}],"preferred":false,"id":793791,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allison, Meade A.","contributorId":229661,"corporation":false,"usgs":false,"family":"Allison","given":"Meade","email":"","middleInitial":"A.","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":793792,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kineke, Gail C.","contributorId":229662,"corporation":false,"usgs":false,"family":"Kineke","given":"Gail","email":"","middleInitial":"C.","affiliations":[{"id":13422,"text":"Boston College","active":true,"usgs":false}],"preferred":false,"id":793793,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ogston, Andrea S.","contributorId":229663,"corporation":false,"usgs":false,"family":"Ogston","given":"Andrea","email":"","middleInitial":"S.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":793794,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Souza Filho, Pedro W.M.","contributorId":229664,"corporation":false,"usgs":false,"family":"Souza Filho","given":"Pedro W.M.","affiliations":[{"id":41701,"text":"Instituto Technológico Vale","active":true,"usgs":false}],"preferred":false,"id":793795,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Asp, Nils E.","contributorId":229665,"corporation":false,"usgs":false,"family":"Asp","given":"Nils","email":"","middleInitial":"E.","affiliations":[{"id":41700,"text":"Universidade Federal do Pará","active":true,"usgs":false}],"preferred":false,"id":793796,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nowacki, Daniel J. 0000-0002-7015-3710 dnowacki@usgs.gov","orcid":"https://orcid.org/0000-0002-7015-3710","contributorId":174586,"corporation":false,"usgs":true,"family":"Nowacki","given":"Daniel","email":"dnowacki@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":793797,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fricke, Aaron T.","contributorId":229666,"corporation":false,"usgs":false,"family":"Fricke","given":"Aaron","email":"","middleInitial":"T.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":793798,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70216198,"text":"70216198 - 2021 - Validation of the model-predicted spawning area of grass carp Ctenopharyngodon idella in the Sandusky River","interactions":[],"lastModifiedDate":"2023-01-19T16:30:04.172544","indexId":"70216198","displayToPublicDate":"2020-07-23T07:05:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Validation of the model-predicted spawning area of grass carp <i>Ctenopharyngodon idella</i> in the Sandusky River","title":"Validation of the model-predicted spawning area of grass carp Ctenopharyngodon idella in the Sandusky River","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">Spawning of grass carp,<span>&nbsp;</span><i>Ctenopharyngodon idella,</i><span>&nbsp;</span>in the Great Lakes basin was verified when eight fertilized eggs were collected in the Sandusky River, a tributary to Lake Erie, in 2015. Using a fluvial drift model (FluEgg) and simulation modeling, researchers predicted the fertilization location for those eggs was 3.8&nbsp;±&nbsp;1&nbsp;km (95% credible interval, CI) downstream of Ballville Dam. In June 2018, simultaneous collection of fertilized eggs and adults within the model-predicted spawning area provided the opportunity to verify the fertilization location. We used estimated developmental time (Dt) of eggs calculated from developmental stages, water temperature, and an equation that predicts Dt from cumulative thermal units experienced by developing eggs, in two analyses. First, we regressed Dt versus location of capture and solved that equation for developmental time of 0 hrs (Dt<sub>0</sub>) to estimate fertilization location. Second, we used Dt in the Fluvial Drift Simulator (FluEgg) to simulate 23 scenarios representative of drift conditions throughout the spawning event using the model-predicted spawning area and the site of Ballville Dam as potential spawning locations. Regression analysis placed the mean fertilization location 3.36&nbsp;km (95% CI 2.27, 4.24) downstream of the site of Ballville Dam, within the model-predicted spawning area. Drift models demonstrated the model-predicted spawning area was best supported. Histograms of fertilization times overlapped with capture times by boat electrofishing of diploid adult grass carp in the model-predicted spawning area. This suite of analyses confirms the model-predicted spawning area and validates the methodology used to locate it.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.06.005","usgsCitation":"Kocovsky, P., King, N.R., Weimer, E., Mayer, C., and Qian, S.S., 2021, Validation of the model-predicted spawning area of grass carp Ctenopharyngodon idella in the Sandusky River: Journal of Great Lakes Research, v. 47, no. 17, p. 29-36, https://doi.org/10.1016/j.jglr.2020.06.005.","productDescription":"8 p.","startPage":"29","endPage":"36","ipdsId":"IP-109677","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":436680,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94BH3W0","text":"USGS data release","linkHelpText":"Developmental Stages of Grass Carp (Ctenopharyngodon idella) eggs in the Sandusky River (ver. 3.0, July 2020)"},{"id":380332,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Sandusky River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.21594238281249,\n              41.0658923392826\n            ],\n            [\n              -83.0072021484375,\n              41.0658923392826\n            ],\n            [\n              -83.0072021484375,\n              41.53222612879675\n            ],\n            [\n              -83.21594238281249,\n              41.53222612879675\n            ],\n            [\n              -83.21594238281249,\n              41.0658923392826\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":804450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Nicole R.","contributorId":239495,"corporation":false,"usgs":false,"family":"King","given":"Nicole","email":"","middleInitial":"R.","affiliations":[{"id":47892,"text":"University of Toledo Lake Erie Center, 6200 Bay Shore Road, Oregon, OH","active":true,"usgs":false}],"preferred":false,"id":804451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weimer, Eric","contributorId":244720,"corporation":false,"usgs":false,"family":"Weimer","given":"Eric","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":804452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mayer, Christine","contributorId":237769,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","affiliations":[{"id":47604,"text":"University of Toledo, Lake Erie Center","active":true,"usgs":false}],"preferred":false,"id":804453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Qian, Song S.","contributorId":198934,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":804454,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70229000,"text":"70229000 - 2021 - Fishing preferences, angling behavior, and attitudes toward management: A comparison between White and Nonwhite anglers","interactions":[],"lastModifiedDate":"2022-02-25T15:47:20.249571","indexId":"70229000","displayToPublicDate":"2020-07-18T09:43:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Fishing preferences, angling behavior, and attitudes toward management: A comparison between White and Nonwhite anglers","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2020.1794082","usgsCitation":"Roop, H.J., Poudyal, N., and Jennings, C.A., 2021, Fishing preferences, angling behavior, and attitudes toward management: A comparison between White and Nonwhite anglers: Human Dimensions of Wildlife, v. 26, no. 1, p. 84-89, https://doi.org/10.1080/10871209.2020.1794082.","productDescription":"6 p.","startPage":"84","endPage":"89","ipdsId":"IP-119999","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Roop, H. J.","contributorId":275269,"corporation":false,"usgs":false,"family":"Roop","given":"H.","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":836098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poudyal, N. C.","contributorId":275270,"corporation":false,"usgs":false,"family":"Poudyal","given":"N. C.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":836099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":836100,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70213101,"text":"70213101 - 2021 - Where you trap matters: Implications for integrated sea lamprey management","interactions":[],"lastModifiedDate":"2022-01-06T15:58:02.282444","indexId":"70213101","displayToPublicDate":"2020-07-18T06:48:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Where you trap matters: Implications for integrated sea lamprey management","docAbstract":"<p><span>Barriers and pesticides have been used in streams to control sea lamprey in the Laurentian Great Lakes for nearly 70 years. Considerable effort has been spent to develop additional control measures, but much less effort has gone toward identifying how or where additional control measures might be cost-effectively integrated into the sea lamprey control program. We use a management strategy evaluation model in Lake Michigan to identify the stream types that would be most suitable for deploying traps to remove adults prior to spawning and estimate the likely impact on adult sea lamprey abundance in subsequent years under several trapping scenarios relative to status quo abundance. The greatest reduction in lake-wide adult sea lamprey abundance predicted by the model resulted when removing adult sea lampreys from streams that are difficult for control program personnel to treat with lampricide because lampricide applications would be required less frequently. Additionally, targeting streams which experience regular sea lamprey recruitment and streams with low adult sea lamprey density should result in reduced lake-wide abundance if trapping costs are relatively low or removal is high. Our results provide direction on where to trap and why, and indicate that trapping may be a valuable part of an integrated sea lamprey control approach advancing the goals of the Great Lakes Fishery Commission.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.06.023","usgsCitation":"Miehls, S.M., Dawson, H., Maguffee, A., Johnson, N., Jones, M., and Dobiesz, N., 2021, Where you trap matters: Implications for integrated sea lamprey management: Journal of Great Lakes Research, v. 47, no. Suppl 1, p. S320-S327, https://doi.org/10.1016/j.jglr.2020.06.023.","productDescription":"8 p.","startPage":"S320","endPage":"S327","onlineOnly":"N","ipdsId":"IP-115542","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":454510,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.06.023","text":"Publisher Index Page"},{"id":378245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"Suppl 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":798248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Heather","contributorId":96577,"corporation":false,"usgs":true,"family":"Dawson","given":"Heather","affiliations":[{"id":27267,"text":"University of Michigan-Flint","active":true,"usgs":false}],"preferred":false,"id":798249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maguffee, Alex","contributorId":239976,"corporation":false,"usgs":false,"family":"Maguffee","given":"Alex","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":798250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":798251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, M.W.","contributorId":239977,"corporation":false,"usgs":false,"family":"Jones","given":"M.W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":798252,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dobiesz, Norine","contributorId":239978,"corporation":false,"usgs":false,"family":"Dobiesz","given":"Norine","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":798253,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70219007,"text":"70219007 - 2021 - Effects of plunge pool configuration on downstream passage survival of juvenile blueback herring","interactions":[],"lastModifiedDate":"2021-03-19T12:35:57.214947","indexId":"70219007","displayToPublicDate":"2020-07-15T07:34:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7768,"text":"Aquaculture and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Effects of plunge pool configuration on downstream passage survival of juvenile blueback herring","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Anadromous alosines are widespread throughout the Northern Hemisphere. Juveniles of this clade are notoriously fragile animals that are at high risk of injury and death associated with passage at hydroelectric facilities. Although turbine mortality is a common concern, conditions encountered when bypassed around these routes may also be hazardous. Downstream bypass structures typically discharge into plunge pools, which are highly turbulent and may cause mechanical injury. We subjected live, actively migrating juvenile blueback herring to a suite of realistic plunge pool conditions (3&nbsp;m drop, pool depth of 60–180&nbsp;cm, and discharge of 0.28–1.70&nbsp;m<sup>3</sup>/s) and monitored them for&nbsp;≥&nbsp;96&nbsp;h. Survival was generally higher than expected (&gt;80% in all cases). However, both plunge pool volume and total discharge affected survival with elevated discharge and shallow conditions associated with increased mortality. Mortality was often delayed: rates remained elevated throughout the monitoring period, indicating that survival studies based on shorter periods underestimate total mortality.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aaf.2020.05.006","usgsCitation":"Castro-Santos, T.R., Mulligan, K., Kieffer, M., and Haro, A., 2021, Effects of plunge pool configuration on downstream passage survival of juvenile blueback herring: Aquaculture and Fisheries, v. 6, no. 2, p. 135-143, https://doi.org/10.1016/j.aaf.2020.05.006.","productDescription":"9 p.","startPage":"135","endPage":"143","ipdsId":"IP-112265","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":454512,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aaf.2020.05.006","text":"Publisher Index Page"},{"id":384502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":812446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulligan, Kevin 0000-0002-3534-4239 kmulligan@usgs.gov","orcid":"https://orcid.org/0000-0002-3534-4239","contributorId":177024,"corporation":false,"usgs":true,"family":"Mulligan","given":"Kevin","email":"kmulligan@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":812447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kieffer, Micah 0000-0001-9310-018X mkieffer@usgs.gov","orcid":"https://orcid.org/0000-0001-9310-018X","contributorId":2641,"corporation":false,"usgs":true,"family":"Kieffer","given":"Micah","email":"mkieffer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":812448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haro, Alexander 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":139198,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":812449,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211173,"text":"70211173 - 2021 - Trapping of suspended sediment by submerged aquatic vegetation in a tidal freshwater region: Field observations and long-term trends","interactions":[],"lastModifiedDate":"2021-03-19T20:16:25.981098","indexId":"70211173","displayToPublicDate":"2020-07-14T12:23:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Trapping of suspended sediment by submerged aquatic vegetation in a tidal freshwater region: Field observations and long-term trends","docAbstract":"<p><span>Widespread invasion by non-native, submerged aquatic vegetation (SAV) may modify the sediment budget of an estuary, reducing the availability of inorganic sediment required by marshes to maintain their position in the tidal frame. The instantaneous trapping rate of suspended sediment in SAV patches in an estuary has not previously been quantified via field observations. In this study, flows of water and suspended sediment through patches of invasive SAV were measured at three tidally forced, freshwater sites, all located within the Sacramento-San Joaquin Delta in California. An acoustic Doppler current profiler deployed from a roving vessel provided velocity and backscatter data used to quantify fluxes of both water and suspended sediment. Sediment trapping efficiency, defined as instantaneous net trapped flux divided by incident flux, was positive in 24 of 29 cases, averaging + 5%. Coupled with 3&nbsp;years of measured sediment flux data at one site, this suggests that trapping averages 3.7&nbsp;kg&nbsp;m</span><sup>−2</sup><span>&nbsp;year</span><sup>−1</sup><span>. This estimate compares favorably with the mean mass accumulation rate of 3.8&nbsp;kg&nbsp;m</span><sup>−2</sup><span>&nbsp;year</span><sup>−1</sup><span>&nbsp;estimated from dated sediment cores collected at the study sites. Long-term measurements made upstream reveal a strong negative trend (− 1.8%&nbsp;year</span><sup>−1</sup><span>) in suspended sediment concentration, and intra-annual changes in both suspended sediment concentration and percent fines. The large footprint and high spatial density of invasive SAV coupled with declining sediment supply are diminishing downstream suspended sediment concentrations, potentially reducing the resiliency of marshes in the Delta and lower estuary to future sea-level rise.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-020-00799-w","usgsCitation":"Work, P.A., Downing-Kunz, M.A., and Drexler, J.Z., 2021, Trapping of suspended sediment by submerged aquatic vegetation in a tidal freshwater region: Field observations and long-term trends: Estuaries and Coasts, v. 44, p. 734-739, https://doi.org/10.1007/s12237-020-00799-w.","productDescription":"6 p.","startPage":"734","endPage":"739","ipdsId":"IP-114567","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":376440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.32177734375,\n              37.60117623656667\n            ],\n            [\n              -121.17919921875001,\n              37.60117623656667\n            ],\n            [\n              -121.17919921875001,\n              38.543869175876154\n            ],\n            [\n              -122.32177734375,\n              38.543869175876154\n            ],\n            [\n              -122.32177734375,\n              37.60117623656667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2020-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Paul A. 0000-0002-2815-8040 pwork@usgs.gov","orcid":"https://orcid.org/0000-0002-2815-8040","contributorId":168561,"corporation":false,"usgs":true,"family":"Work","given":"Paul","email":"pwork@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318 mdowning-kunz@usgs.gov","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":3690,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen","email":"mdowning-kunz@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":792943,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}