{"pageNumber":"603","pageRowStart":"15050","pageSize":"25","recordCount":184689,"records":[{"id":70214604,"text":"70214604 - 2020 - Wastewater-based epidemiology pilot study to examine drug use in the Western United States","interactions":[],"lastModifiedDate":"2020-09-30T13:37:52.582629","indexId":"70214604","displayToPublicDate":"2020-07-15T08:28:31","publicationYear":"2020","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":"Wastewater-based epidemiology pilot study to examine drug use in the Western United States","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0025\">The extent of prescription and illicit drug abuse in geographically isolated rural and micropolitan communities in the intermountain western United States (US) has not been well tracked. The goal of this pilot study was to accurately measure drug dose consumption rates (DCR) between two select populations, normalize the data and compare the DCRs to similar communities. To learn about patterns of drug abuse between the two disparate communities, we used the emergent field of wastewater-based epidemiology (WBE). A rapid, quantitative and systematic process for the determination of multiple classes of prescribed and illicit drugs was applied to influent wastewater samples. Influent samples were collected over the course of three months (April to June 2019) at two wastewater treatment plants representing a small urban and a rural community. Collection of sewage influent included 24-h composite samples and the use of polar organic chemical integrative samplers (POCIS), time-weighted samplers. Using the results from the composite sampling data, DCRs per 1000 population could be calculated from the concentration data and the use of excretion correction factors. The following 18 compounds: amphetamine, methamphetamine, MDA, MDMA, morphine, 6-acetylmorphine, methadone, EDDP, codeine, benzoylecgonine, hydrocodone, hydromorphone, oxycodone, noroxycodone, ketamine, fluoxetine, tramadol, and ritalinic acid; represent a subset of the targeted analytes that were consistently measured at detectable concentration levels, and present at both sites. Following normalization of the drug measurements to influent flow rates and per capita, the small urban community demonstrated greater collective excretion rates (CER) than the rural community, with the exceptions of amphetamine and methamphetamine.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.140697","usgsCitation":"Bishop, N., Jones-Lepp, T., Margetts, M., Sykes, J., Alvarez, D.A., and Keil, D., 2020, Wastewater-based epidemiology pilot study to examine drug use in the Western United States: Science of the Total Environment, v. 745, 140697, 7 p., https://doi.org/10.1016/j.scitotenv.2020.140697.","productDescription":"140697, 7 p.","ipdsId":"IP-117735","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":456005,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7361084","text":"External Repository"},{"id":378895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"745","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bishop, Nicholas","contributorId":241939,"corporation":false,"usgs":false,"family":"Bishop","given":"Nicholas","email":"","affiliations":[{"id":41008,"text":"Montana State University, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":800195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones-Lepp, Tammy","contributorId":241940,"corporation":false,"usgs":false,"family":"Jones-Lepp","given":"Tammy","email":"","affiliations":[{"id":48456,"text":"Consultant, Montana State University, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":800196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Margetts, Miranda","contributorId":241942,"corporation":false,"usgs":false,"family":"Margetts","given":"Miranda","email":"","affiliations":[{"id":41008,"text":"Montana State University, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":800197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sykes, Jordan","contributorId":241944,"corporation":false,"usgs":false,"family":"Sykes","given":"Jordan","email":"","affiliations":[{"id":41008,"text":"Montana State University, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":800198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":800199,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keil, Deborah","contributorId":241945,"corporation":false,"usgs":false,"family":"Keil","given":"Deborah","email":"","affiliations":[{"id":41008,"text":"Montana State University, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":800200,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227098,"text":"70227098 - 2020 - Assessing the vulnerability of military installations in the coterminous United States to potential biome shifts resulting from rapid climate change","interactions":[],"lastModifiedDate":"2021-12-30T13:31:46.918381","indexId":"70227098","displayToPublicDate":"2020-07-15T08:21:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the vulnerability of military installations in the coterminous United States to potential biome shifts resulting from rapid climate change","docAbstract":"Climate change impacts to Department of Defense (DoD) installations will challenge future military mission and natural resource stewardship efforts by increasing vulnerability to flooding, drought, altered fire regimes, invasive species, etc.  We developed biome classifications based on current climate for the coterminous United States using the Holdridge Life Zone system to assess potential change on DoD lands. We validated classifications using comparisons to existing ecoregional classifications, the distribution of major forest types and tree species in eastern North America.  We projected future life zones for mid- and late century time periods under three greenhouse gas emission scenarios (low - B1, moderate - A1B and high - A2) using an ensemble of global climate models. To assess vulnerability of installations (n = 529), we analyzed biome shifts using spatial cluster analysis to characterize interregional variation and identified representative installations for subsequent landscape-level analyses. Although mean annual temperatures are expected to increase, installations located in the Northeast, Lake States and western Great Plains are likely to experience the largest proportional increases in temperature relative to historical conditions. Accordingly, forest and grassland communities at these installations managed to support a wide range of military training and environmental objectives may be adversely affected by altered disturbance regimes, heat and moisture stress. However, precipitation is projected to increase in the Northeast and Lake States mitigating some effects of increased atmospheric temperatures on biological communities. Given the uncertain response to climate change in the coming decades in different ecoregions, additional environmental and stewardship attributes are needed within a decision support framework to understand vulnerabilities and provide appropriate responses.","language":"English","publisher":"Springer","doi":"10.1007/s00267-020-01331-3","usgsCitation":"Odom, R., and Ford, W., 2020, Assessing the vulnerability of military installations in the coterminous United States to potential biome shifts resulting from rapid climate change: Environmental Management, v. 66, no. 4, p. 564-589, https://doi.org/10.1007/s00267-020-01331-3.","productDescription":"26 p.","startPage":"564","endPage":"589","ipdsId":"IP-116375","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467284,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/102438","text":"External 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Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":829627,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70220551,"text":"70220551 - 2020 - Linking nest microhabitat selection to nest survival within declining pheasant populations in the Central Valley of California","interactions":[],"lastModifiedDate":"2021-05-19T13:06:14.033546","indexId":"70220551","displayToPublicDate":"2020-07-15T08:01:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Linking nest microhabitat selection to nest survival within declining pheasant populations in the Central Valley of California","docAbstract":"<p><strong>Context:<span>&nbsp;</span></strong>The ring-necked pheasant (<i>Phasianus colchicus</i>) has experienced considerable population declines in recent decades, especially in agricultural environments of the Central Valley of California. Although large-scale changes in land cover have been reported as an important driver of population dynamics, the effects of microhabitat conditions on specific demographic rates (e.g. nesting) are largely unknown.</p><p><strong>Aims:<span>&nbsp;</span></strong>Our goal was to identify the key microhabitat factors that contribute to wild pheasant fitness by linking individual-level selection of each microhabitat characteristic to the survival of their nests within the California Central Valley.</p><p><strong>Methods:<span>&nbsp;</span></strong>We radio- or GPS-marked 190 female ring-necked pheasants within five study areas and measured nest-site characteristics and nest fates during 2013–2017. Specifically, we modeled microhabitat selection using vegetation covariates measured at nest sites and random sites and then modeled nest survival as a function of selecting each microhabitat characteristic.</p><p><strong>Key results:<span>&nbsp;</span></strong>Female pheasants tended to select nest sites with greater proportions of herbaceous cover and avoided areas with greater proportions of bare-ground. Specifically, perennial grass cover was the most explanatory factor with regard to nest survival, but selection for increasing visual obstruction alone was not shown to have a significant effect on survival. Further, we found strong evidence that pheasants selecting sites with greater perennial grass height were more likely to have successful nests.</p><p><strong>Conclusions:<span>&nbsp;</span></strong>Although pheasants will select many types of vegetation available as cover, our models provided evidence that perennial grasses are more beneficial than other cover types to pheasants selecting nesting sites.</p><p><strong>Implications:<span>&nbsp;</span></strong>Focusing management actions on promoting perennial grass cover and increased heights at the microsite level,<span>&nbsp;</span><i>in lieu</i><span>&nbsp;</span>of other vegetative modifications, may provide improved quality of habitat for nesting pheasants and, perhaps, result in increased productivity. This is especially important if cover is limited during specific times of the nesting period. Understanding how microhabitat selection influences fitness can help land managers develop strategies to increase the sustainability of hunted populations of this popular game-bird species.</p>","language":"English","publisher":"CSIRO","doi":"10.1071/WR18199","usgsCitation":"Dwight, I., Vogt, J., Coates, P.S., Fleskes, J., Connelly, D.P., and Gardner, S.C., 2020, Linking nest microhabitat selection to nest survival within declining pheasant populations in the Central Valley of California: Wildlife Research, v. 47, no. 5, p. 391-403, https://doi.org/10.1071/WR18199.","productDescription":"13 p.","startPage":"391","endPage":"403","ipdsId":"IP-098339","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":456007,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wr18199","text":"Publisher Index Page"},{"id":385761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.9150390625,\n              38.87392853923629\n            ],\n            [\n              -121.44287109374999,\n              38.87392853923629\n            ],\n            [\n              -121.44287109374999,\n              41.44272637767212\n            ],\n            [\n              -122.9150390625,\n              41.44272637767212\n            ],\n            [\n              -122.9150390625,\n              38.87392853923629\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dwight, Ian 0000-0002-8393-5391 idwight@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-5391","contributorId":192077,"corporation":false,"usgs":true,"family":"Dwight","given":"Ian","email":"idwight@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":815980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vogt, Jessica H","contributorId":258211,"corporation":false,"usgs":false,"family":"Vogt","given":"Jessica H","affiliations":[{"id":39913,"text":"former WERC","active":true,"usgs":false}],"preferred":false,"id":815981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":815982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":210345,"corporation":false,"usgs":false,"family":"Fleskes","given":"Joseph P.","affiliations":[],"preferred":false,"id":815983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connelly, Daniel P.","contributorId":192079,"corporation":false,"usgs":false,"family":"Connelly","given":"Daniel","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":815984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gardner, Scott C.","contributorId":192081,"corporation":false,"usgs":false,"family":"Gardner","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":815985,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227626,"text":"70227626 - 2020 - Benthic suffocation of invasive lake trout embryos by fish carcasses and sedimentation in Yellowstone Lake","interactions":[],"lastModifiedDate":"2022-01-21T13:07:29.955026","indexId":"70227626","displayToPublicDate":"2020-07-15T07:03:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Benthic suffocation of invasive lake trout embryos by fish carcasses and sedimentation in Yellowstone Lake","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Introduced Lake Trout<span>&nbsp;</span><i>Salvelinus namaycush</i><span>&nbsp;</span>threaten native Yellowstone Cutthroat Trout<span>&nbsp;</span><i>Oncorhynchus clarkii bouvieri</i><span>&nbsp;</span>in Yellowstone Lake, Yellowstone National Park, where gill nets have been used to suppress subadult and adult Lake Trout since 1995. However, survival of embryonic and larval life history stages can have profound effects on the population dynamics of Lake Trout. Inducing additional mortality at those stages, especially if used in concert with intensive gillnetting of older fish, could enhance overall suppression efforts. Therefore, we conducted controlled field experiments at Yellowstone Lake to systematically evaluate the effects of sediment deposition and ground Lake Trout carcass deposition on Lake Trout embryos in pre-positioned incubators. Sediment deposition caused dissolved oxygen concentrations to decline below lethal levels for a prolonged overwinter period (92 d). Embryo mortality among overwintering incubators varied from 97.0&nbsp;±&nbsp;5.3% (mean&nbsp;±&nbsp;SE) at the substrate surface to 100.0&nbsp;±&nbsp;0.0% at 20&nbsp;cm below the substrate surface. Decomposition of ground carcass material on spawning sites caused dissolved oxygen concentrations to decline to lethal levels (&lt;3.4&nbsp;mg/L) for about 9 d after biomass application rates of 14 and 28&nbsp;kg/m<sup>2</sup><span>&nbsp;</span>in treatment plots. Exposure to ground carcass material resulted in 100.0&nbsp;±&nbsp;0.0% embryo mortality at the substrate surface and within interstices 20&nbsp;cm below the surface in 14- and 28-kg/m<sup>2</sup><span>&nbsp;</span>biomass treatments. Embryo mortality was probably caused by hypoxic conditions within substrates in both experiments. The deposition of sediment and ground Lake Trout carcass material on Lake Trout spawning sites in Yellowstone Lake could provide an additional source of mortality in ongoing Lake Trout suppression efforts. These methods may also be beneficial in other systems when incorporated in an integrated pest management approach targeting multiple life history stages of invasive freshwater fish.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10492","usgsCitation":"Poole, A.S., Koel, T., Thomas, N.A., and Zale, A.V., 2020, Benthic suffocation of invasive lake trout embryos by fish carcasses and sedimentation in Yellowstone Lake: North American Journal of Fisheries Management, v. 40, no. 5, p. 1077-1086, https://doi.org/10.1002/nafm.10492.","productDescription":"10 p.","startPage":"1077","endPage":"1086","ipdsId":"IP-117603","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":456010,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/5539879","text":"External Repository"},{"id":394651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.9564208984375,\n              44.09547572946637\n            ],\n            [\n              -109.92919921875,\n              44.09547572946637\n            ],\n            [\n              -109.92919921875,\n              44.85586880735725\n            ],\n            [\n              -110.9564208984375,\n              44.85586880735725\n            ],\n            [\n              -110.9564208984375,\n              44.09547572946637\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Poole, Alex S.","contributorId":272053,"corporation":false,"usgs":false,"family":"Poole","given":"Alex","email":"","middleInitial":"S.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":831411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koel, Todd M.","contributorId":272054,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":831412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Nathan A.","contributorId":272055,"corporation":false,"usgs":false,"family":"Thomas","given":"Nathan","email":"","middleInitial":"A.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":831413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zale, Alexander V. 0000-0003-1703-885X","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":244099,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":831410,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211095,"text":"fs20203029 - 2020 - Hydrologic conditions in Kansas, water year 2019","interactions":[],"lastModifiedDate":"2020-07-15T15:15:41.30338","indexId":"fs20203029","displayToPublicDate":"2020-07-15T06:52:52","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3029","displayTitle":"Hydrologic Conditions in Kansas, Water Year 2019","title":"Hydrologic conditions in Kansas, water year 2019","docAbstract":"<p><span>The U.S. Geological Survey Kansas Water Science Center, in cooperation with Federal, State, and local agencies, maintains a long-term network of hydrologic monitoring stations in the State of Kansas. These include a&nbsp;network of 217 real-time streamgages and 12 real-time reservoir-level monitoring stations in water year 2019.&nbsp;The data and associated analyses from the streamgages and monitoring stations provide a unique overview of hydrologic conditions and help improve the understanding of Kansas’ water resources. Annual assessments of hydrologic conditions are made by comparing statistical analyses of current and past water year data for the period of record.&nbsp;Long-term monitoring of hydrologic conditions in Kansas provides imperative information for many uses including managing water resources and protecting human life and property and promoting agricultural practices, industrial activities, operation of&nbsp;</span><span>reservoirs</span><span>, development of infrastructure, ecological assessments, and recreational purposes.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203029","usgsCitation":"Davis, C., 2020, Hydrologic conditions in Kansas, Water year 2019: U.S. Geological Survey Fact Sheet 2020–3029, 6 p., https://doi.org/10.3133/fs20203029.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-117275","costCenters":[{"id":353,"text":"Kansas Water Science 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 \"}}]}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/kswsc\" href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a> <br>U.S. Geological Survey<br>1217 Biltmore Dr.<br>Lawrence, Kansas 66049<br></p>","tableOfContents":"<ul><li>Preceding Conditions and Precipitation</li><li>Streamflow Conditions and Drainage Basin Runoff</li><li>Record Breaking High Water</li><li>Reservoirs</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-07-15","noUsgsAuthors":false,"publicationDate":"2020-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Chantelle 0000-0001-6415-7320","orcid":"https://orcid.org/0000-0001-6415-7320","contributorId":225019,"corporation":false,"usgs":true,"family":"Davis","given":"Chantelle","email":"","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":792760,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70215219,"text":"70215219 - 2020 - Stable isotope analysis of multiple tissues from Hawaiian honeycreepers indicates elevational movement","interactions":[],"lastModifiedDate":"2020-10-14T12:09:36.964479","indexId":"70215219","displayToPublicDate":"2020-07-15T06:45:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Stable isotope analysis of multiple tissues from Hawaiian honeycreepers indicates elevational movement","docAbstract":"<p><span>We have limited knowledge of the patterns, causes, and prevalence of elevational migration despite observations of seasonal movements of animals along elevational gradients in montane systems worldwide. While a third of extant Hawaiian landbird species are estimated to be elevational migrants this assumption is based primarily on early naturalist’s observations with limited empirical evidence. In this study, we compared stable hydrogen isotopes (δ</span><sup>2</sup><span>H) of metabolically inert (feathers) and active (blood plasma, red blood cells) tissues collected from the same individual to determine if present day populations of Hawaiian honeycreepers undergo elevational movements to track areas of seasonally high flower bloom that constitute significant food resources. We also measured stable carbon isotopes (δ</span><sup>13</sup><span>C) and stable nitrogen isotopes (δ</span><sup>15</sup><span>N) to examine potential changes in diet between time periods. We found that the majority of ‘apapane (</span><i>Himatione sanguinea</i><span>) and Hawaiʻi ʻamakihi (</span><i>Chlorodrepanis virens</i><span>) captured at high elevation, high bloom flowering sites in the fall were not year-round residents at the capture locations, but had molted their feathers at lower elevations presumably in the summer after breeding. δ</span><sup>2</sup><span>H values of feathers for all individuals sampled were higher than blood plasma isotope values after accounting for differences in tissue-specific discrimination. We did not find a difference in the propensity of elevational movement between ‘apapane and Hawaiʻi ‘amakihi, even though the ‘amakihi is considered more sedentary. However, consistent with a more generalist diet, δ</span><sup>15</sup><span>N values indicated that Hawaiʻi ʻamakihi had a more diverse diet across trophic levels than ʻapapane, and a greater reliance on nectar in the fall. We demonstrate that collecting multiple tissue samples, which grow at different rates or time periods, from a single individual can provide insights into elevational movements of Hawaiian honeycreepers over an extended time period.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0235752","usgsCitation":"Paxton, K.L., Kelly, J.F., Pletchet, S.M., and Paxton, E., 2020, Stable isotope analysis of multiple tissues from Hawaiian honeycreepers indicates elevational movement: PLoS ONE, v. 15, no. 7, e0235752, 16 p., https://doi.org/10.1371/journal.pone.0235752.","productDescription":"e0235752, 16 p.","ipdsId":"IP-119677","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":456011,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0235752","text":"Publisher Index Page"},{"id":436875,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98I4EP7","text":"USGS data release","linkHelpText":"Hawaii Volcanoes National Park stable isotope values from Hawaii forest birds 2012"},{"id":379338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"South Hawai'i","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.9014892578125,\n              18.911483222018383\n            ],\n            [\n              -155.445556640625,\n              18.911483222018383\n            ],\n            [\n              -155.445556640625,\n              19.316327373141174\n            ],\n            [\n              -155.9014892578125,\n              19.316327373141174\n            ],\n            [\n              -155.9014892578125,\n              18.911483222018383\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":801219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Jeffery F","contributorId":238815,"corporation":false,"usgs":false,"family":"Kelly","given":"Jeffery","email":"","middleInitial":"F","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":801220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pletchet, Sandra M","contributorId":242963,"corporation":false,"usgs":false,"family":"Pletchet","given":"Sandra","email":"","middleInitial":"M","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":801221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":801222,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263322,"text":"70263322 - 2020 - Using a structured decision analysis to evaluate bald eagle vital signs monitoring in Southwest Alaska National Parks","interactions":[],"lastModifiedDate":"2025-02-06T15:31:57.444951","indexId":"70263322","displayToPublicDate":"2020-07-15T00:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Using a structured decision analysis to evaluate bald eagle vital signs monitoring in Southwest Alaska National Parks","docAbstract":"<p>1. Monitoring programs can benefit from an adaptive monitoring approach, where key decisions about why, where, what, and how to monitor are revisited periodically in order to ensure programmatic relevancy. </p><p>2. The National Park Service (NPS) monitors status and trends of Vital Signs to evaluate compliance with the NPS mission. Although abundant, The Southwest Alaska Network (SWAN) monitors bald eagles because of their inherent importance to park visitors and role as an important ecological indicator. Our goal is to identify an optimal monitoring program that may be standardized among participating parks. </p><p>3. We gathered an expert panel of scientists and managers, and implemented a Delphi Process to gather information about the bald eagle monitoring program. Panelists generated a list of means objectives for the monitoring program: minimizing cost, minimizing effort, maximizing the ability to detect change in bald eagle populations, and maximizing the amount of accurate information collected about bald eagles. </p><p>4. We used a swing-weighting technique to assign importance to each objective. Collecting accurate information about bald eagles was considered the most important means objective. </p><p>5. Combining panelist-generated information with objective importance, we analyzed the scenarios and defined the optimal decision using linear value modeling. Through our analysis, we found that a “Comprehensive” monitoring scenario, comprised of all feasible monitoring metrics is the optimal monitoring scenario. Even with greatly increased cost, the Comprehensive monitoring scenario remains the best solution. </p><p>6. We suggest further exploration of the cost and effort required for the Comprehensive scenario, to determine if it is in the parks’ best interest to begin monitoring additional metrics.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6499","usgsCitation":"Kolstrom, R., Wilson, T., and Gigliotti, L.M., 2020, Using a structured decision analysis to evaluate bald eagle vital signs monitoring in Southwest Alaska National Parks: Ecology and Evolution, v. 10, no. 15, p. 8114-8126, https://doi.org/10.1002/ece3.6499.","productDescription":"13 p.","startPage":"8114","endPage":"8126","ipdsId":"IP-111171","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":487025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6499","text":"Publisher Index Page"},{"id":481741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"10","issue":"15","noUsgsAuthors":false,"publicationDate":"2020-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kolstrom, Rebecca","contributorId":350554,"corporation":false,"usgs":false,"family":"Kolstrom","given":"Rebecca","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":926336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Tammy L.","contributorId":350555,"corporation":false,"usgs":false,"family":"Wilson","given":"Tammy L.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":926337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":926335,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211090,"text":"ofr20201074 - 2020 - Shoreline retreat of the Corte Madera marshes, 1853 to 2016, Marin County, California","interactions":[],"lastModifiedDate":"2020-07-14T21:16:54.16432","indexId":"ofr20201074","displayToPublicDate":"2020-07-14T12:47:43","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1074","displayTitle":"Shoreline retreat of the Corte Madera marshes, 1853 to 2016, Marin County, California","title":"Shoreline retreat of the Corte Madera marshes, 1853 to 2016, Marin County, California","docAbstract":"<p>The greater San Francisco Bay estuary, prior to human intervention, encompassed about 2,200 km<sup>2</sup> of tidal and salt marshes. Over time, these areas became increasingly diked, developed, and altered from their natural state. In addition, natural forces are always driving a continually shifting equilibrium.</p><p>This study area, the Corte Madera marshes, is a tidal marsh or wetland located in southeastern Marin County, and it borders an embayment of central San Francisco Bay along about 2.8 km of shoreline. Most of this shoreline is located within the Corte Madera Marsh Ecological Reserve, managed by the California Department of Fish and Wildlife. Other areas within the marsh include (1) unincorporated Greenbrae (at the boardwalk), (2) diked land (that is, isolated from tidal action) owned by the Golden Gate Bridge Highway and Transportation District, and (3) urbanized areas such as in the Mariner Cove subdivision of Corte Madera. The present tidal marsh area was historically subdivided into the following informally named tracts, listed from north to south: Heerdt marsh, north Muzzi marsh, inner and outer Muzzi marshes, Marta’s marsh, and Triangle marsh.</p><p>The purpose of this study is to derive the magnitudes and rates of shoreline change (both erosion and accretion) for the Corte Madera shoreline, with particular emphasis on the time period from 1931 to 2016. The rates of change are then related to different shoreline types (that is, natural or diked) and (or) locations on the shoreline.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201074","usgsCitation":"Carkin, Bradley A., Kayen, Robert E., and Wong, Florence L., 2020, Shoreline retreat of the Corte Madera marshes, 1853 to 2016, Marin County, California: U.S. Geological Survey Open-File Report 2020–1074, 36 p., 6 appendixes, https://doi.org/10.3133/ofr20201074.","productDescription":"vi, 36 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-105624","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":376367,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1074/covrthb.jpg"},{"id":376368,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1074/ofr20201074.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","county":"Marin County","otherGeospatial":"Corte Madera Marshes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.51970291137695,\n              37.92226366023669\n            ],\n            [\n              -122.48828887939453,\n              37.92226366023669\n            ],\n            [\n              -122.48828887939453,\n              37.95069515957716\n            ],\n            [\n              -122.51970291137695,\n              37.95069515957716\n            ],\n            [\n              -122.51970291137695,\n              37.92226366023669\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"http://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\">Contact Information</a><br><a href=\"https://walrus.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://walrus.wr.usgs.gov/\">Pacific Coastal &amp; Marine Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>Pacific Science Center<br>2885 Mission St.<br>Santa Cruz, CA 95060</p>","tableOfContents":"<ul><li>Introduction</li><li>Purpose</li><li>Previous Work</li><li>Modifications Affecting the Corte Madera Shoreline</li><li>Delineation of the Shoreline</li><li>Methods</li><li>Rate Uncertainties</li><li>Results</li><li>Discussion</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. End Point Rates for Corte Madera Creek (CC) and Heerdt Marsh (HM-1 through HM-7) Rate-Calculation Zones, Corte Madera Shoreline</li><li>Appendix 2. End Point Rates for North Muzzi Marsh (North) Rate-Calculation Zone NM-N, Corte Madera Shoreline</li><li>Appendix 3. End Point Rates for North Muzzi Marsh (South) Rate-Calculation Zone NM-S, Corte Madera Shoreline</li><li>Appendix 4. End Point Rates for Outer Muzzi Marsh Rate-Calculation Zone OM, Corte Madera Shoreline</li><li>Appendix 5. End Point Rates for Marta’s Marsh Rate-Calculation Zone MM, Corte Madera Shoreline</li><li>Appendix 6. End Point Rates for Triangle Marsh Rate-Calculation Zone TM, Corte Madera Shoreline</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-07-14","noUsgsAuthors":false,"publicationDate":"2020-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Carkin, Bradley A. bcarkin@usgs.gov","contributorId":3971,"corporation":false,"usgs":true,"family":"Carkin","given":"Bradley","email":"bcarkin@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":792752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kayen, Robert E. rkayen@usgs.gov","contributorId":2787,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert E.","email":"rkayen@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":792753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792754,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211543,"text":"70211543 - 2020 - Monthly suspended-sediment apportionment for a western Lake Erie agricultural tributary","interactions":[],"lastModifiedDate":"2020-10-28T15:40:02.638141","indexId":"70211543","displayToPublicDate":"2020-07-14T10:09:37","publicationYear":"2020","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":"Monthly suspended-sediment apportionment for a western Lake Erie agricultural tributary","docAbstract":"Black Creek, a headwater to the Maumee River and western Lake Erie, is an agricultural basin with a mix of cropland (66%), pasture (19%), and forest (7%) linked by a road network to the rural community.  Suspended sediment was collected monthly during the 2018 water year for the main stem and two sub-basins using in-situ, passive samplers that integrated a range of streamflow conditions.  Sediment fingerprinting used 44 indicators to apportion samples among five sources:  cropland, pasture, forest, road dirt, and streambanks.  Cropland, pasture, and streambanks had similar ranges in sediment-bound phosphorus (679-1670 ppm).  Cropland contributed 21 ± 15% (monthly mean ± standard deviation; 0-46% among individual months) of suspended sediment during the year.  Fall and spring peaks in cropland contribution highlight the ongoing importance of on-field management, but this small contribution of suspended sediment relative to the expanse of cropland may reflect implementation of best-management practices.  Pasture contributed 0-66% (16±19%) of suspended-sediment and roads 0-26% (6±6%).  Streambanks contributed 12-100% (55±25%) and was the only source identified in all sediment samples.  In this basin, most cropland-adjacent streambanks are protected by a riparian setback.  However, streams traversing other land-use types are not as consistently protected, and these setbacks do not protect the stream channel from discharge of water from sump pumps, road culverts, or tile drains.  The contribution of sediment from other land uses combined with that from the agricultural drainage network (as streambank material) underscores the need to consider water movement in the basin as a whole.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.06.011","usgsCitation":"Williamson, T.N., Dobrowolski, E.G., Gellis, A.C., Sabitov, T., and Gorman Sanisaca, L.E., 2020, Monthly suspended-sediment apportionment for a western Lake Erie agricultural tributary: Journal of Great Lakes Research, v. 46, no. 5, p. 1307-1320, https://doi.org/10.1016/j.jglr.2020.06.011.","productDescription":"14 p.","startPage":"1307","endPage":"1320","ipdsId":"IP-115721","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":456014,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2020.06.011","text":"Publisher Index Page"},{"id":436877,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EOEFOL","text":"USGS data release","linkHelpText":"Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie - Fluvial-target samples"},{"id":436876,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W28HF0","text":"USGS data release","linkHelpText":"Chemical and physical data for sediment source fingerprinting of suspended and bottom sediment in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie - Source samples"},{"id":376894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","otherGeospatial":"Black Creek basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.08636474609375,\n              41.06433922234843\n            ],\n            [\n              -84.80003356933594,\n              41.06433922234843\n            ],\n            [\n              -84.80003356933594,\n              41.268001205721035\n            ],\n            [\n              -85.08636474609375,\n              41.268001205721035\n            ],\n            [\n              -85.08636474609375,\n              41.06433922234843\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dobrowolski, Edward G. 0000-0001-9840-4609 edobrowo@usgs.gov","orcid":"https://orcid.org/0000-0001-9840-4609","contributorId":5555,"corporation":false,"usgs":true,"family":"Dobrowolski","given":"Edward","email":"edobrowo@usgs.gov","middleInitial":"G.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sabitov, Timur","contributorId":236885,"corporation":false,"usgs":false,"family":"Sabitov","given":"Timur","email":"","affiliations":[{"id":47559,"text":"Geology and Geophysics, Academy of Science of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":794579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gorman Sanisaca, Lillian E. 0000-0003-1711-3864","orcid":"https://orcid.org/0000-0003-1711-3864","contributorId":210381,"corporation":false,"usgs":true,"family":"Gorman Sanisaca","given":"Lillian","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794580,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211288,"text":"70211288 - 2020 - Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio","interactions":[],"lastModifiedDate":"2020-07-22T15:10:17.124546","indexId":"70211288","displayToPublicDate":"2020-07-14T10:06:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio","docAbstract":"Cyanobacterial harmful algal blooms and the toxins they produce are a global water-quality problem. Monitoring and prediction tools are needed to quickly predict cyanotoxin action-level exceedances in recreational and drinking waters used by the public. To address this need, data were collected at eight locations in Ohio, USA, to identify factors significantly related to observed concentrations of microcystins (a freshwater cyanotoxin) that could be used in two types of site-specific regression models.  Real-time models include easily- or continuously-measured factors that do not require that a sample be collected; comprehensive models use a combination of discrete sample-based measurements and real-time factors.  The study sites included two recreational sites and six water treatment plant sites.  Real-time models commonly included variables such as phycocyanin, pH, specific conductance, and streamflow or gage height. Many real-time factors were averages over time periods antecedent to the time the microcystin sample was collected, including water-quality data compiled from continuous monitors. Comprehensive models were useful at some sites with lagged variables for cyanobacterial toxin genes, dissolved nutrients, and (or) nitrogen to phosphorus ratios.  Because models can be used for management decisions, important measures of model performance were sensitivity, specificity, and accuracy of estimates above or below the microcystin concentration threshold standard or action level. Sensitivity is how well the predictive tool correctly predicts exceedance of a threshold, an important measure for water-resource managers. Sensitivities >90% at four Lake Erie water treatment plants indicated that models with continuous monitor data were especially promising.  The planned next steps are to collect more data to build larger site-specific datasets and validate models before they can be used for management decisions.","language":"English","publisher":"Springer","doi":"10.1007/s10661-020-08407-x","usgsCitation":"Francy, D.S., Brady, A.M., Stelzer, E., Cicale, J.R., Hackney, C.P., Dalby, H.D., Struffolino, P., and Dwyer, D.F., 2020, Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio: Environmental Monitoring and Assessment, v. 192, 513, 27 p., https://doi.org/10.1007/s10661-020-08407-x.","productDescription":"513, 27 p.","ipdsId":"IP-095890","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":456015,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-020-08407-x","text":"Publisher Index Page"},{"id":436878,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CDF76E","text":"USGS data release","linkHelpText":"Data for multiple linear regression models for predicting microcystin concentration action-level exceedances in selected lakes in Ohio"},{"id":376635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.122314453125,\n              40.97160353279909\n            ],\n            [\n              -82.24365234375,\n              40.97160353279909\n            ],\n            [\n              -82.24365234375,\n              41.69752591075902\n            ],\n            [\n              -84.122314453125,\n              41.69752591075902\n            ],\n            [\n              -84.122314453125,\n              40.97160353279909\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.82617187499999,\n              39.73253798438173\n            ],\n            [\n              -80.92529296875,\n              39.73253798438173\n            ],\n            [\n              -80.92529296875,\n              40.772221877329024\n            ],\n            [\n              -81.82617187499999,\n              40.772221877329024\n            ],\n            [\n              -81.82617187499999,\n              39.73253798438173\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"192","noUsgsAuthors":false,"publicationDate":"2020-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Francy, Donna S. 0000-0001-9229-3557 dsfrancy@usgs.gov","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":1853,"corporation":false,"usgs":true,"family":"Francy","given":"Donna","email":"dsfrancy@usgs.gov","middleInitial":"S.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brady, Amie M.G. 0000-0002-7414-0992 amgbrady@usgs.gov","orcid":"https://orcid.org/0000-0002-7414-0992","contributorId":2544,"corporation":false,"usgs":true,"family":"Brady","given":"Amie","email":"amgbrady@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelzer, Erin A. 0000-0001-7645-7603","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":220549,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cicale, Jessica R. 0000-0002-0008-4051","orcid":"https://orcid.org/0000-0002-0008-4051","contributorId":208157,"corporation":false,"usgs":true,"family":"Cicale","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hackney, Courtney Paige 0000-0002-7018-9780","orcid":"https://orcid.org/0000-0002-7018-9780","contributorId":228840,"corporation":false,"usgs":true,"family":"Hackney","given":"Courtney","email":"","middleInitial":"Paige","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dalby, Harrison D 0000-0001-6048-3217","orcid":"https://orcid.org/0000-0001-6048-3217","contributorId":228841,"corporation":false,"usgs":true,"family":"Dalby","given":"Harrison","email":"","middleInitial":"D","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":793530,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Struffolino, Pamela 0000-0002-9065-3405","orcid":"https://orcid.org/0000-0002-9065-3405","contributorId":229549,"corporation":false,"usgs":false,"family":"Struffolino","given":"Pamela","email":"","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":793531,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dwyer, Daryl F. 0000-0002-5033-0927","orcid":"https://orcid.org/0000-0002-5033-0927","contributorId":229550,"corporation":false,"usgs":false,"family":"Dwyer","given":"Daryl","email":"","middleInitial":"F.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":793532,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70211171,"text":"70211171 - 2020 - Comparative phylogenomics reveal complex evolution of life history strategies in a clade of bivalves with parasitic larvae (Bivalvia: Unionoida: Ambleminae)","interactions":[],"lastModifiedDate":"2020-10-12T17:00:10.903457","indexId":"70211171","displayToPublicDate":"2020-07-14T10:04:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1242,"text":"Cladistics","active":true,"publicationSubtype":{"id":10}},"title":"Comparative phylogenomics reveal complex evolution of life history strategies in a clade of bivalves with parasitic larvae (Bivalvia: Unionoida: Ambleminae)","docAbstract":"<p><span>Freshwater mussels are a species‐rich group with biodiversity patterns strongly shaped by a life history strategy that includes an obligate parasitic larval stage. In this study, we set out to reconstruct the life history evolution and systematics in a clade of freshwater mussels adapted to parasitizing a molluscivorous host fish. Anchored hybrid enrichment and ancestral character reconstruction revealed a complex pattern of life history evolution with host switching and multiple instances of convergence, including reduction in size of larvae, increased fecundity, and growth during encapsulation. Our phylogenomic analyses also recovered non‐monophyly of taxa exhibiting multiple traits used as the basis for previous taxonomic hypotheses. Taxa with axe‐head shaped glochidia were resolved as paraphyletic, but our results strongly suggest the complex morphology is an adaptation to reduce larval size, with reduction in size further accentuated in taxa previously assigned to&nbsp;</span><i>Leptodea</i><span>. To more accurately reflect the evolutionary history of this group, we make multiple systematic changes, including the description of a new genus,&nbsp;</span><i>Atlanticoncha</i><span>&nbsp;</span><strong>gen. nov.</strong><span>, and the synonymy of the genus&nbsp;</span><i>Leptodea</i><span>&nbsp;under&nbsp;</span><i>Potamilus</i><span>. Our findings contribute to the growing body of literature showing that cladistic hypotheses based solely on morphological characters, including larval morphology, can be flawed in freshwater mussels.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/cla.12423","usgsCitation":"Smith, C.H., Pfeiffer, J., and Johnson, N., 2020, Comparative phylogenomics reveal complex evolution of life history strategies in a clade of bivalves with parasitic larvae (Bivalvia: Unionoida: Ambleminae): Cladistics, v. 36, no. 5, p. 505-520, https://doi.org/10.1111/cla.12423.","productDescription":"16 p.","startPage":"505","endPage":"520","ipdsId":"IP-109973","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":436879,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X3J54C","text":"USGS data release","linkHelpText":"Anchored hybrid enrichment in Potamilus mussels"},{"id":376426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Chase H. 0000-0002-1499-0311","orcid":"https://orcid.org/0000-0002-1499-0311","contributorId":225140,"corporation":false,"usgs":false,"family":"Smith","given":"Chase","email":"","middleInitial":"H.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":792929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pfeiffer, John M.","contributorId":202521,"corporation":false,"usgs":false,"family":"Pfeiffer","given":"John M.","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":792930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nathan A. 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":218986,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":792931,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211063,"text":"ds1127 - 2020 - Causes of land change in the U.S. Interior Highlands, 2001–2011","interactions":[],"lastModifiedDate":"2021-06-14T19:49:41.072561","indexId":"ds1127","displayToPublicDate":"2020-07-14T09:50:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1127","displayTitle":"Causes of Land Change in the U.S. Interior Highlands, 2001–2011","title":"Causes of land change in the U.S. Interior Highlands, 2001–2011","docAbstract":"<p>The causes of land change from 2001 through 2011 for the Interior Highlands region of the south-central United States were assessed using satellite imagery, historical land-use and land-cover data, and digital orthophotos. The study was designed to develop improved regional land-use and land-cover change information, including identification of the proximate causes of change. The four leading causes of land change involved various stages of forest change: harvest (376,497 hectares), reforestation (105,150 hectares), stand loss to fire (98,875 hectares), and thinning (54,029 hectares). The study provides baseline spatial data for understanding human and ecological dynamics in the region. The spatial data, including metadata, are available in the data release associated with this report at https://doi.org/10.5066/P9W4SF05.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1127","usgsCitation":"Drummond, M.A., Stier, M.P., McBeth, J.L., Auch, R.F., Taylor, J.L., and Riegle, J.L., 2020, Causes of land change in the U.S. Interior Highlands, 2001–2011: U.S. Geological Survey Data Series 1127, 4 p., https://doi.org/10.3133/ds1127.","productDescription":"Report: iii, 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-102515","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":376322,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1127/ds1127.pdf","text":"Report","size":"4.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1127"},{"id":376321,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1127/coverthb.jpg"},{"id":376325,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W4SF05","text":"USGS data release","linkHelpText":"Data release for the Land Change Causes for the United States Interior Highlands (2001 to 2006 and 2006 to 2011 time intervals)"}],"country":"United States","state":"Missouri, Arkansas, Oklahoma, Kansas","otherGeospatial":"Interior Highlands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.06445312499999,\n              34.21634468843465\n            ],\n            [\n              -95.82275390624997,\n              33.943359946578795\n            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  [\n              -95.07568359374997,\n              37.09023980307205\n            ],\n            [\n              -96.02050781249999,\n              35.69299463209881\n            ],\n            [\n              -96.96533203124999,\n              34.903952965590065\n            ],\n            [\n              -96.81152343749997,\n              34.470335121217474\n            ],\n            [\n              -96.06445312499999,\n              34.21634468843465\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://www.usgs.gov/centers/gecsc/\" data-mce-href=\"http://www.usgs.gov/centers/gecsc/\">Geosciences and Environmental Change Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-980<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Findings—Summary of the Causes of Land Change in the Interior Highlands</li><li>References Cited</li></ul>","publishedDate":"2020-07-14","noUsgsAuthors":false,"publicationDate":"2020-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Drummond, Mark A. 0000-0001-7420-3503 madrummond@usgs.gov","orcid":"https://orcid.org/0000-0001-7420-3503","contributorId":3053,"corporation":false,"usgs":true,"family":"Drummond","given":"Mark","email":"madrummond@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":792641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stier, Michael P. 0000-0002-8518-9855 mpstier@usgs.gov","orcid":"https://orcid.org/0000-0002-8518-9855","contributorId":3121,"corporation":false,"usgs":true,"family":"Stier","given":"Michael","email":"mpstier@usgs.gov","middleInitial":"P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":792642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McBeth, Jamie L. 0000-0002-7688-7985 jlmcbeth@usgs.gov","orcid":"https://orcid.org/0000-0002-7688-7985","contributorId":1254,"corporation":false,"usgs":true,"family":"McBeth","given":"Jamie","email":"jlmcbeth@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":792643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Auch, Roger F. 0000-0002-5382-5044 auch@usgs.gov","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":667,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","email":"auch@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":792644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Janis L. 0000-0002-9418-5215 jltaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-9418-5215","contributorId":147371,"corporation":false,"usgs":true,"family":"Taylor","given":"Janis","email":"jltaylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":792645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Riegle, Jodi L. 0000-0001-8640-8952 jlriegle@usgs.gov","orcid":"https://orcid.org/0000-0001-8640-8952","contributorId":1789,"corporation":false,"usgs":true,"family":"Riegle","given":"Jodi","email":"jlriegle@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":792646,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70211257,"text":"70211257 - 2020 - Spatial proximity moderates genotype uncertainty in genetic tagging studies","interactions":[],"lastModifiedDate":"2020-08-04T14:28:28.360713","indexId":"70211257","displayToPublicDate":"2020-07-13T15:08:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Spatial proximity moderates genotype uncertainty in genetic tagging studies","docAbstract":"<p><span>Accelerating declines of an increasing number of animal populations worldwide necessitate methods to reliably and efficiently estimate demographic parameters such as population density and trajectory. Standard methods for estimating demographic parameters from noninvasive genetic samples are inefficient because lower-quality samples cannot be used, and they assume individuals are identified without error. We introduce the genotype spatial partial identity model (gSPIM), which integrates a genetic classification model with a spatial population model to combine both spatial and genetic information, thus reducing genotype uncertainty and increasing the precision of demographic parameter estimates. We apply this model to data from a study of fishers (</span><i>Pekania pennanti</i><span>) in which 37% of hair samples were originally discarded because of uncertainty in individual identity. The gSPIM density estimate using all collected samples was 25% more precise than the original density estimate, and the model identified and corrected three errors in the original individual identity assignments. A simulation study demonstrated that our model increased the accuracy and precision of density estimates 63 and 42%, respectively, using three replicated assignments (e.g., PCRs for microsatellites) per genetic sample. Further, the simulations showed that the gSPIM model parameters are identifiable with only one replicated assignment per sample and that accuracy and precision are relatively insensitive to the number of replicated assignments for high-quality samples. Current genotyping protocols devote the majority of resources to replicating and confirming high-quality samples, but when using the gSPIM, genotyping protocols could be more efficient by devoting more resources to low-quality samples.</span></p>","language":"English","publisher":"United States National Academy of Sciences","doi":"10.1073/pnas.2000247117","usgsCitation":"Augustine, B., Royle, A., Linden, D., and Fuller, A.K., 2020, Spatial proximity moderates genotype uncertainty in genetic tagging studies: Proceedings of the National Academy of Sciences, v. 117, no. 30, p. 17903-17912, https://doi.org/10.1073/pnas.2000247117.","productDescription":"10 p.","startPage":"17903","endPage":"17912","ipdsId":"IP-114514","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":456020,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2000247117","text":"Publisher Index Page"},{"id":376597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"30","noUsgsAuthors":false,"publicationDate":"2020-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Augustine, Ben C.","contributorId":229524,"corporation":false,"usgs":false,"family":"Augustine","given":"Ben C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":793443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":793444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Linden, Daniel W.","contributorId":229525,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel W.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":793445,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Angela K.","contributorId":229526,"corporation":false,"usgs":false,"family":"Fuller","given":"Angela","email":"","middleInitial":"K.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":793446,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70222537,"text":"70222537 - 2020 - Time-evolving surface and subsurface signatures of Quaternary volcanism in the Cascades arc","interactions":[],"lastModifiedDate":"2021-08-03T12:24:29.313995","indexId":"70222537","displayToPublicDate":"2020-07-13T07:22:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Time-evolving surface and subsurface signatures of Quaternary volcanism in the Cascades arc","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>Increased resolution of data constraining topography and crustal structures provides new quantitative ways to assess province-scale surface-subsurface connections beneath volcanoes. We used a database of mapped vents to extract edifices with known epoch ages from digital elevation models (DEMs) in the Cascades arc (western North America), deriving volumes that likely represent ∼50% of total Quaternary eruptive output. Edifice volumes and spatial vent density correlate with diverse geophysical data that fingerprint magmatic influence in the upper crust. Variations in subsurface structures consistent with volcanism are common beneath Quaternary vents throughout the arc, but they are more strongly associated with younger vents. Geophysical magmatic signatures increase in the central and southern Cascade Range (Cascades), where eruptive output is largest and vents are closely spaced. Vents and correlated crustal structures, as well as temporal transitions in the degree of spatially localized versus distributed eruptions, define centers with lateral extents of ∼100 km throughout the arc, suggesting a time-evolving spatial focusing of magma ascent.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G47706.1","usgsCitation":"O’Hara, D., Karlstrom, L., and Ramsey, D.W., 2020, Time-evolving surface and subsurface signatures of Quaternary volcanism in the Cascades arc: Geology, v. 48, no. 11, p. 1088-1093, https://doi.org/10.1130/G47706.1.","productDescription":"6 p.","startPage":"1088","endPage":"1093","ipdsId":"IP-113386","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":456023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g47706.1","text":"Publisher Index Page"},{"id":387646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascades arc","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.04687499999999,\n              40.17887331434696\n            ],\n            [\n              -119.17968749999999,\n              40.17887331434696\n            ],\n            [\n              -119.17968749999999,\n              49.1242192485914\n            ],\n            [\n              -123.04687499999999,\n              49.1242192485914\n            ],\n            [\n              -123.04687499999999,\n              40.17887331434696\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"O’Hara, Daniel 0000-0002-1630-7985","orcid":"https://orcid.org/0000-0002-1630-7985","contributorId":261727,"corporation":false,"usgs":false,"family":"O’Hara","given":"Daniel","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":820496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Leif 0000-0002-2197-2349","orcid":"https://orcid.org/0000-0002-2197-2349","contributorId":261729,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Leif","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":820497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramsey, David W. 0000-0003-1698-2523 dramsey@usgs.gov","orcid":"https://orcid.org/0000-0003-1698-2523","contributorId":3819,"corporation":false,"usgs":true,"family":"Ramsey","given":"David","email":"dramsey@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":820498,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211252,"text":"70211252 - 2020 - Robust age estimation of southern sea otters from multiple morphometrics","interactions":[],"lastModifiedDate":"2020-09-10T20:08:19.720219","indexId":"70211252","displayToPublicDate":"2020-07-12T14:29:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Robust age estimation of southern sea otters from multiple morphometrics","docAbstract":"<p><span>Reliable age estimation is an essential tool to assess the status of wildlife populations and inform successful management. Aging methods, however, are often limited by too few data, skewed demographic representation, and by single or uncertain morphometric relationships. In this study, we synthesize age estimates in southern sea otters&nbsp;</span><i>Enhydra lutris nereis</i><span>&nbsp;from 761 individuals across 34&nbsp;years of study, using multiple noninvasive techniques and capturing all life stages from 0 to 17&nbsp;years of age. From wild, stranded, and captive individuals, we describe tooth eruptions, tooth wear, body length, nose scarring, and pelage coloration across ontogeny and fit sex‐based growth functions to the data. Dental eruption schedules provided reliable and identifiable metrics spanning 0.3–9&nbsp;months. Tooth wear was the most reliable predictor of age of individuals aged 1–15&nbsp;years, which when combined with total length, explained &gt;93% of observed age. Beyond age estimation, dental attrition also indicated the maximum lifespan of adult teeth is 13‒17&nbsp;years, corresponding with previous estimates of life expectancy. Von Bertalanffy growth function model simulations of length at age gave consistent estimates of asymptotic lengths (male&nbsp;</span><i>L<sub>oo</sub></i><span>&nbsp;=&nbsp;126.0‒126.8&nbsp;cm, female&nbsp;</span><i>L<sub>oo</sub></i><span>&nbsp;=&nbsp;115.3‒115.7&nbsp;cm), biologically realistic gestation periods (</span><i>t</i><sub>0</sub><span>&nbsp;=&nbsp;115&nbsp;days,&nbsp;</span><i>SD</i><span>&nbsp;=&nbsp;10.2), and somatic growth (male&nbsp;</span><i>k</i><span>&nbsp;=&nbsp;1.8,&nbsp;</span><i>SD</i><span>&nbsp;=&nbsp;0.1; female&nbsp;</span><i>k</i><span>&nbsp;=&nbsp;2.1,&nbsp;</span><i>SD</i><span>&nbsp;=&nbsp;0.1). Though exploratory, we describe how field radiographic imaging of epiphyseal plate development or fusions may improve aging of immature sea otters. Together, our results highlight the value of integrating information from multiple and diverse datasets to help resolve conservation problems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6493","usgsCitation":"Nicholson, T.E., Mayer, K.A., Staedler, M.M., Gagne, T.O., Murray, M.J., Young, M.A., Tomoleoni, J.A., Tinker, M., and Van Houtan, K.S., 2020, Robust age estimation of southern sea otters from multiple morphometrics: Ecology and Evolution, v. 10, no. 16, p. 8592-8609, https://doi.org/10.1002/ece3.6493.","productDescription":"18 p.","startPage":"8592","endPage":"8609","ipdsId":"IP-119622","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":456026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6493","text":"Publisher Index Page"},{"id":376584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"16","noUsgsAuthors":false,"publicationDate":"2020-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Nicholson, Teri E.","contributorId":213741,"corporation":false,"usgs":false,"family":"Nicholson","given":"Teri","email":"","middleInitial":"E.","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":793418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, Karl A.","contributorId":203504,"corporation":false,"usgs":false,"family":"Mayer","given":"Karl","email":"","middleInitial":"A.","affiliations":[{"id":36639,"text":"University of Wisconsin Zoological Museum, 250 North Mills Street, Madison, WI 53706 (PMH)              Sea Otter Research and Conservation Program, Monterey Bay Aquarium, 886 Cannery Row, Monterey, CA 93940","active":true,"usgs":false}],"preferred":false,"id":793419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staedler, Michelle M. 0000-0002-1101-6580","orcid":"https://orcid.org/0000-0002-1101-6580","contributorId":213742,"corporation":false,"usgs":false,"family":"Staedler","given":"Michelle","email":"","middleInitial":"M.","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":793420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gagne, Tyler O","contributorId":229513,"corporation":false,"usgs":false,"family":"Gagne","given":"Tyler","email":"","middleInitial":"O","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":793421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, Michael J.","contributorId":206852,"corporation":false,"usgs":false,"family":"Murray","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":37418,"text":"Monterey Bay Aquarium, Monterey, CA","active":true,"usgs":false}],"preferred":false,"id":793422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Young, Marissa A","contributorId":229514,"corporation":false,"usgs":false,"family":"Young","given":"Marissa","email":"","middleInitial":"A","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":793423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tomoleoni, Joseph A. 0000-0001-6980-251X jtomoleoni@usgs.gov","orcid":"https://orcid.org/0000-0001-6980-251X","contributorId":167551,"corporation":false,"usgs":true,"family":"Tomoleoni","given":"Joseph","email":"jtomoleoni@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":793424,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tinker, M. Tim 0000-0002-3314-839X","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":221787,"corporation":false,"usgs":false,"family":"Tinker","given":"M. Tim","affiliations":[{"id":40428,"text":"University of California, Santa Cruz; former USGS PI","active":true,"usgs":false}],"preferred":false,"id":793425,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Van Houtan, Kyle S.","contributorId":213743,"corporation":false,"usgs":false,"family":"Van Houtan","given":"Kyle","email":"","middleInitial":"S.","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":793426,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70213305,"text":"70213305 - 2020 - Possible control of acute outbreaks of a marine fungal pathogen by nominally herbivorous tropical reef fish","interactions":[],"lastModifiedDate":"2020-09-17T16:53:42.486872","indexId":"70213305","displayToPublicDate":"2020-07-12T11:53:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Possible control of acute outbreaks of a marine fungal pathogen by nominally herbivorous tropical reef fish","docAbstract":"<p><span>Primary producers in terrestrial and marine systems can be affected by fungal pathogens threatening the provision of critical ecosystem services. Crustose coralline algae (CCA) are ecologically important members of tropical reef systems and are impacted by coralline fungal disease (CFD) which manifests as overgrowth of the CCA crust by fungal lesions causing partial to complete mortality of the CCA host. No natural controls for CFD have been identified, but nominally herbivorous fish could play a role by consuming pathogenic fungi. We documented preferential grazing on fungal lesions by adults of six common reef-dwelling species of herbivorous Acanthuridae and Labridae, (surgeonfish and parrotfish) which collectively demonstrated an ~ 80-fold higher grazing rate on fungal lesions relative to their proportionate benthic coverage, and a preference for lesions over other palatable substrata (e.g. live scleractinian coral, CCA, or algae). Furthermore, we recorded a ~ 600% increase in live CFD lesion size over an approximately 2-week period when grazing by herbivorous fish was experimentally excluded suggesting that herbivorous reef fish could control CFD progression by directly reducing biomass of the fungal pathogen. Removal rates may be sufficient to allow CCA to recover from infection and explain historically observed natural waning behaviour after an outbreak. Thus, in addition to their well-known role as determinants of macroalgal overgrowth of reefs, herbivorous fish could thus also be important in control of diseases affecting crustose coralline algae that stabilize the foundation of coral reef substrata.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-020-04697-7","usgsCitation":"Neal, B.P., Honish, B., Warrender, T., Williams, G.J., Work, T.M., and Price, N.N., 2020, Possible control of acute outbreaks of a marine fungal pathogen by nominally herbivorous tropical reef fish: Oecologia, v. 193, p. 603-617, https://doi.org/10.1007/s00442-020-04697-7.","productDescription":"15 p.","startPage":"603","endPage":"617","ipdsId":"IP-098709","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":456028,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00442-020-04697-7","text":"Publisher Index Page"},{"id":378517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Palmyra Atoll National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -162.1076488494873,\n              5.865866583882711\n            ],\n            [\n              -162.04928398132324,\n              5.865866583882711\n            ],\n            [\n              -162.04928398132324,\n              5.896090732511716\n            ],\n            [\n              -162.1076488494873,\n              5.896090732511716\n            ],\n            [\n              -162.1076488494873,\n              5.865866583882711\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"193","noUsgsAuthors":false,"publicationDate":"2020-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Neal, B. P.","contributorId":240825,"corporation":false,"usgs":false,"family":"Neal","given":"B.","email":"","middleInitial":"P.","affiliations":[{"id":48141,"text":"Bigelow Laboratory for Ocean Sciences, 60 Bigelow Drive, East Boothbay, ME USA 04544","active":true,"usgs":false}],"preferred":false,"id":798988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Honish, B.","contributorId":240826,"corporation":false,"usgs":false,"family":"Honish","given":"B.","email":"","affiliations":[{"id":48141,"text":"Bigelow Laboratory for Ocean Sciences, 60 Bigelow Drive, East Boothbay, ME USA 04544","active":true,"usgs":false}],"preferred":false,"id":798989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warrender, T.","contributorId":240827,"corporation":false,"usgs":false,"family":"Warrender","given":"T.","email":"","affiliations":[{"id":48141,"text":"Bigelow Laboratory for Ocean Sciences, 60 Bigelow Drive, East Boothbay, ME USA 04544","active":true,"usgs":false}],"preferred":false,"id":798990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, G. J.","contributorId":240828,"corporation":false,"usgs":false,"family":"Williams","given":"G.","email":"","middleInitial":"J.","affiliations":[{"id":48144,"text":"Bangor University School of Ocean Sciences, Bangor University, Anglesey, UK","active":true,"usgs":false}],"preferred":false,"id":798991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":798992,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Price, N. 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,{"id":70217784,"text":"70217784 - 2020 - A century of intermittent eco‐evolutionary feedbacks resulted in novel trait combinations in invasive Great Lakes alewives (Alosa pseudoharengus)","interactions":[],"lastModifiedDate":"2021-02-02T12:55:00.187909","indexId":"70217784","displayToPublicDate":"2020-07-12T06:39:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"A century of intermittent eco‐evolutionary feedbacks resulted in novel trait combinations in invasive Great Lakes alewives (Alosa pseudoharengus)","docAbstract":"<p><span>Species introductions provide opportunities to quantify rates and patterns of evolutionary change in response to novel environments. Alewives (</span><i>Alosa pseudoharengus</i><span>) are native to the East Coast of North America where they ascend coastal rivers to spawn in lakes and then return to the ocean. Some populations have become landlocked within the last 350&nbsp;years and diverged phenotypically from their ancestral marine population. More recently, alewives were introduced to the Laurentian Great Lakes (~150&nbsp;years ago), but these populations have not been compared to East Coast anadromous and landlocked populations. We quantified 95&nbsp;years of evolution in foraging traits and overall body shape of Great Lakes alewives and compared patterns of phenotypic evolution of Great Lakes alewives to East Coast anadromous and landlocked populations. Our results suggest that gill raker spacing in Great Lakes alewives has evolved in a dynamic pattern that is consistent with responses to strong but intermittent eco‐evolutionary feedbacks with zooplankton size. Following their initial colonization of Lakes Ontario and Michigan, dense alewife populations likely depleted large‐bodied zooplankton, which drove a decrease in alewife gill raker spacing. However, the introduction of large, non‐native zooplankton to the Great Lakes in later decades resulted in an increase in gill raker spacing, and present‐day Great Lakes alewives have gill raker spacing patterns that are similar to the ancestral East Coast anadromous population. Conversely, contemporary Great Lakes alewife populations possess a gape width consistent with East Coast landlocked populations. Body shape showed remarkable parallel evolution with East Coast landlocked populations, likely due to a shared response to the loss of long‐distance movement or migrations. Our results suggest the colonization of a new environment and cessation of migration can result in rapid parallel evolution in some traits, but contingency also plays a role, and a dynamic ecosystem can also yield novel trait combinations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eva.13063","usgsCitation":"Smith, S., Palkovacs, E., Weidel, B., Bunnell, D., Jones, A.W., and Bloom, D., 2020, A century of intermittent eco‐evolutionary feedbacks resulted in novel trait combinations in invasive Great Lakes alewives (Alosa pseudoharengus): Evolutionary Applications, v. 13, no. 10, p. 2630-2645, https://doi.org/10.1111/eva.13063.","productDescription":"16 p.","startPage":"2630","endPage":"2645","ipdsId":"IP-116073","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":456029,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.13063","text":"Publisher Index 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0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":809642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunnell, David 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":245523,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":809643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Andrew W.","contributorId":203766,"corporation":false,"usgs":false,"family":"Jones","given":"Andrew","email":"","middleInitial":"W.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":809644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bloom, Devin 0000-0002-5799-5796","orcid":"https://orcid.org/0000-0002-5799-5796","contributorId":248704,"corporation":false,"usgs":false,"family":"Bloom","given":"Devin","email":"","affiliations":[{"id":49983,"text":"Western Michigan","active":true,"usgs":false}],"preferred":false,"id":809645,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70221898,"text":"70221898 - 2020 - Applications of knowledge and predictions of atmospheric rivers","interactions":[],"lastModifiedDate":"2021-07-13T23:17:40.254869","indexId":"70221898","displayToPublicDate":"2020-07-11T18:01:36","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Applications of knowledge and predictions of atmospheric rivers","docAbstract":"<p><span>This chapter reviews how AR research is being applied in real-world situations to address issues of flood planning and emergency intervention. It includes water supply management case studies. Examples comprise five distinct sections that show how AR research is being directly applied to the challenges that water managers, dam operators, crisis-management engineers such as USACE, National Weather Service (NWS) personnel, the media, and others face. These topics include how decision-makers on the ground must iteratively alternate between forecasts and their own field observations, especially in unfolding emergency-response conditions, and the trade-offs necessitated between acting on competing priorities such as flood-risk management and water supply management. Ultimately, almost all AR studies have the potential to directly benefit the public’s need for ongoing water supply as well as for accurate weather forecasts and deployable emergency protocols for natural hazards that necessitate municipal, state, and federal government personnel to collaborate.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Atmospheric rivers","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-28906-5_7","usgsCitation":"Lawrence, S., Anderson, M., Ralph, F., Dettinger, M.D., Lavers, D.A., Pappenberger, F., Richardson, D., and Zsoter, E., 2020, Applications of knowledge and predictions of atmospheric rivers, chap. <i>of</i> Atmospheric rivers, p. 201-218, https://doi.org/10.1007/978-3-030-28906-5_7.","productDescription":"18 p.","startPage":"201","endPage":"218","ipdsId":"IP-108499","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":387168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2020-07-11","publicationStatus":"PW","contributors":{"editors":[{"text":"Ralph, F Martin","contributorId":261106,"corporation":false,"usgs":false,"family":"Ralph","given":"F Martin","affiliations":[{"id":39679,"text":"Scripps Institution of Oceanography, UCSD","active":true,"usgs":false}],"preferred":false,"id":819266,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":819267,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Rutz, Jonathan J.","contributorId":197886,"corporation":false,"usgs":false,"family":"Rutz","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":819268,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Waliser, Duane E.","contributorId":167848,"corporation":false,"usgs":false,"family":"Waliser","given":"Duane","email":"","middleInitial":"E.","affiliations":[{"id":24837,"text":"Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":819269,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Lawrence, Schick","contributorId":261105,"corporation":false,"usgs":false,"family":"Lawrence","given":"Schick","email":"","affiliations":[{"id":52736,"text":"USACE (retired)","active":true,"usgs":false}],"preferred":false,"id":819255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Michael","contributorId":148971,"corporation":false,"usgs":false,"family":"Anderson","given":"Michael","affiliations":[],"preferred":false,"id":819256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ralph, F Martin","contributorId":261106,"corporation":false,"usgs":false,"family":"Ralph","given":"F Martin","affiliations":[{"id":39679,"text":"Scripps Institution of Oceanography, UCSD","active":true,"usgs":false}],"preferred":false,"id":819257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":819258,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lavers, David A.","contributorId":167847,"corporation":false,"usgs":false,"family":"Lavers","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":24837,"text":"Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":819259,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pappenberger, Florian","contributorId":261107,"corporation":false,"usgs":false,"family":"Pappenberger","given":"Florian","email":"","affiliations":[{"id":52737,"text":"European Centre for Medium-Range Weather Forecasts","active":true,"usgs":false}],"preferred":false,"id":819263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richardson, David ","contributorId":223903,"corporation":false,"usgs":false,"family":"Richardson","given":"David ","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":819264,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zsoter, Ervin","contributorId":261108,"corporation":false,"usgs":false,"family":"Zsoter","given":"Ervin","email":"","affiliations":[{"id":52737,"text":"European Centre for Medium-Range Weather Forecasts","active":true,"usgs":false}],"preferred":false,"id":819265,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70211255,"text":"70211255 - 2020 - Robust geographical determinants of infection prevalence and a contrasting latitudinal diversity gradient for haemosporidian parasites in Western Palearctic birds","interactions":[],"lastModifiedDate":"2020-09-10T20:06:07.309391","indexId":"70211255","displayToPublicDate":"2020-07-11T15:18:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Robust geographical determinants of infection prevalence and a contrasting latitudinal diversity gradient for haemosporidian parasites in Western Palearctic birds","docAbstract":"<p><span>Identifying robust environmental predictors of infection probability is central to forecasting and mitigating the ongoing impacts of climate change on vector‐borne disease threats. We applied phylogenetic hierarchical models to a data set of 2,171 Western Palearctic individual birds from 47 species to determine how climate and landscape variation influence infection probability for three genera of haemosporidian blood parasites (</span><i>Haemoproteus</i><span>,&nbsp;</span><i>Leucocytozoon</i><span>, and&nbsp;</span><i>Plasmodium</i><span>). Our comparative models found compelling evidence that birds in areas with higher vegetation density (captured by the normalized difference vegetation index [NDVI]) had higher likelihoods of carrying parasite infection. Magnitudes of this relationship were remarkably similar across parasite genera considering that these parasites use different arthropod vectors and are widely presumed to be epidemiologically distinct. However, we also uncovered key differences among genera that highlighted complexities in their climate responses. In particular, prevalences of&nbsp;</span><i>Haemoproteus</i><span>&nbsp;and&nbsp;</span><i>Plasmodium</i><span>&nbsp;showed strong but contrasting relationships with winter temperatures, supporting mounting evidence that winter warming is a key environmental filter impacting the dynamics of host‐parasite interactions. Parasite phylogenetic community diversities demonstrated a clear but contrasting latitudinal gradient, with&nbsp;</span><i>Haemoproteus</i><span>&nbsp;diversity increasing towards the equator and&nbsp;</span><i>Leucocytozoon</i><span>&nbsp;diversity increasing towards the poles.&nbsp;</span><i>Haemoproteus</i><span>&nbsp;diversity also increased in regions with higher vegetation density, supporting our evidence that summer vegetation density is important for structuring the distributions of these parasites. Ongoing variation in winter temperatures and vegetation characteristics will probably have far‐reaching consequences for the transmission and spread of vector‐borne diseases.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.15545","usgsCitation":"Clark, N.J., Drovetski, S.V., and Voelker, G., 2020, Robust geographical determinants of infection prevalence and a contrasting latitudinal diversity gradient for haemosporidian parasites in Western Palearctic birds: Molecular Ecology, v. 29, no. 16, p. 3131-3143, https://doi.org/10.1111/mec.15545.","productDescription":"13 p.","startPage":"3131","endPage":"3143","ipdsId":"IP-116693","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":376602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"16","noUsgsAuthors":false,"publicationDate":"2020-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Nicholas J.","contributorId":204867,"corporation":false,"usgs":false,"family":"Clark","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":16755,"text":"University of Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":793434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drovetski, Sergei V. 0000-0002-1832-5597","orcid":"https://orcid.org/0000-0002-1832-5597","contributorId":229520,"corporation":false,"usgs":true,"family":"Drovetski","given":"Sergei","middleInitial":"V.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":793435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voelker, Gary","contributorId":229521,"corporation":false,"usgs":false,"family":"Voelker","given":"Gary","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":793436,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211251,"text":"70211251 - 2020 - RestoreNet: An emerging restoration network reveals controls on seeding success across dryland ecosystems","interactions":[],"lastModifiedDate":"2020-11-16T12:53:02.939962","indexId":"70211251","displayToPublicDate":"2020-07-11T14:04:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"RestoreNet: An emerging restoration network reveals controls on seeding success across dryland ecosystems","docAbstract":"<ol class=\"\"><li>Drylands are Earth's largest terrestrial biome and support one‐third of the global population. However, they are also highly vulnerable to land degradation. Despite widespread demand for dryland restoration and rehabilitation, little information is available to help land managers effectively re‐establish native perennial vegetation across drylands.</li><li>RestoreNet is an emerging dryland restoration network that systematically tests revegetation techniques across environmental gradients. Using the RestoreNet experimental framework, we tested the effectiveness of restoration treatments (i.e. ConMod nurse plant structures, mulch, pits) that increase soil moisture and seed mixes with different climatic niches to achieve revegetation goals.</li><li>Across sites, seedling recruitment was consistently influenced by treatment and seed mix type. Pit and mulch treatments increased total seedling density, with pits promoting the highest seeded species recruitment while limiting non‐native species establishment. Seeding increased total seedling density regardless of seed mix type, but cooler‐adapted seed mixes promoted greater seeded species density and resulted in lower density of unseeded (non‐native) species relative to warmer‐adapted mixes.</li><li>Seedling recruitment was also controlled by the temporal and environmental context of restoration with the positive effect of high precipitation greatest in the weeks immediately following seeding. Above‐average precipitation during the study period across most of the sites may partially explain why the highest seeded species recruitment occurred in pit treatments and seed mixes with cooler, wetter niche requirements.</li><li><i>Synthesis and applications</i>. Results from the dryland restoration network, RestoreNet help to better understand variation in seeding and restoration treatment success across space and time in drylands. Relationships between restoration practices and environmental conditions in our study suggest the importance of anticipatory restoration strategies that forecast seasonal and sub‐seasonal weather conditions and select plant species with climate niche requirements appropriate for current and future climate conditions. This information is critical to land managers tasked with improving ecosystem conditions across degraded dryland regions.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.13715","usgsCitation":"Havrilla, C.A., Munson, S.M., McCormick, M.L., Laushman, K.M., Balazs, K.R., and Butterfield, B.J., 2020, RestoreNet: An emerging restoration network reveals controls on seeding success across dryland ecosystems: Journal of Applied Ecology, v. 57, no. 11, p. 2191-2202, https://doi.org/10.1111/1365-2664.13715.","productDescription":"12","startPage":"2191","endPage":"2202","ipdsId":"IP-114674","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":456034,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13715","text":"Publisher Index Page"},{"id":436880,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LW1F9R","text":"USGS data release","linkHelpText":"RestoreNet: seedling treatment and site environmental characteristics data at restoration treatment plots in northern Arizona, USA"},{"id":376576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Drylands of the Southwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.587890625,\n              36.80928470205937\n            ],\n            [\n              -112.5,\n              35.88905007936091\n            ],\n            [\n              -111.97265625,\n              34.813803317113155\n            ],\n            [\n              -109.77539062499999,\n              34.161818161230386\n            ],\n            [\n              -109.072265625,\n              34.08906131584994\n            ],\n            [\n              -109.1162109375,\n              36.94989178681327\n            ],\n            [\n              -112.587890625,\n              36.98500309285596\n            ],\n            [\n              -112.587890625,\n              36.80928470205937\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"57","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Havrilla, Caroline Ann 0000-0003-3913-0980","orcid":"https://orcid.org/0000-0003-3913-0980","contributorId":228882,"corporation":false,"usgs":true,"family":"Havrilla","given":"Caroline","email":"","middleInitial":"Ann","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":793412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":793413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Molly L. 0000-0002-4361-7567 mmccormick@usgs.gov","orcid":"https://orcid.org/0000-0002-4361-7567","contributorId":196257,"corporation":false,"usgs":true,"family":"McCormick","given":"Molly","email":"mmccormick@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":793414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laushman, Katherine M. 0000-0002-4333-6386","orcid":"https://orcid.org/0000-0002-4333-6386","contributorId":229512,"corporation":false,"usgs":true,"family":"Laushman","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":793415,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balazs, Kathleen R.","contributorId":223214,"corporation":false,"usgs":false,"family":"Balazs","given":"Kathleen","email":"","middleInitial":"R.","affiliations":[{"id":24810,"text":"Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":793416,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":793417,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70217344,"text":"70217344 - 2020 - Degradation of RDX (Hexahydro-1,3,5-trinitro-1,3,5-triazine) in contrasting coastal marine habitats: Subtidal non-vegetated (sand), subtidal vegetated (silt/eel grass), and intertidal marsh","interactions":[],"lastModifiedDate":"2021-01-18T18:16:13.652435","indexId":"70217344","displayToPublicDate":"2020-07-11T12:03:55","publicationYear":"2020","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":"Degradation of RDX (Hexahydro-1,3,5-trinitro-1,3,5-triazine) in contrasting coastal marine habitats: Subtidal non-vegetated (sand), subtidal vegetated (silt/eel grass), and intertidal marsh","docAbstract":"<p><span>Hundreds of explosive-contaminated marine sites exist globally, many of which contain the common munitions constituent hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX). Quantitative information about RDX transformation in coastal ecosystems is essential for management of many of these sites. Isotopically labelled RDX containing&nbsp;</span><sup>15</sup><span>N in all 3 nitro groups was used to track the fate of RDX in three coastal ecosystem types. Flow-through mesocosms representing subtidal vegetated (silt/eel grass), subtidal non-vegetated (sand) and intertidal marsh ecosystems were continuously loaded with isotopically labelled RDX for 16–17&nbsp;days. Sediment, pore-water and overlying surface water were analyzed to determine the distribution of RDX, nitroso-triazine transformation products (NXs) and nitrogen containing complete mineralization products, including ammonium, nitrate+nitrite, nitrous oxide and nitrogen gas. The marsh, silt, and sand ecotypes transformed 94%, 90% and 76% of supplied RDX, respectively. Total dissolved NXs accounted for 2%–4% of the transformed&nbsp;</span><sup>15</sup><span>N-RDX. The majority of RDX transformation in the water column was by mineralization to inorganic N (dissolved and evaded; 64%–78% of transformed&nbsp;</span><sup>15</sup><span>N-RDX). RDX was mineralized primarily to N</span><sub>2</sub><span>O (62–74% of transformed&nbsp;</span><sup>15</sup><span>N-RDX) and secondarily to N</span><sub>2</sub><span>&nbsp;(1–2% of transformed&nbsp;</span><sup>15</sup><span>N-RDX) which exchanged with the atmosphere. Transformation of RDX was favored in carbon-rich lower redox potential sediments of the silt and marsh mesocosms where anaerobic processes of iron and sulfate reduction were most prevalent. RDX was most persistent in the carbon-poor sand mesocosm. Partitioning of&nbsp;</span><sup>15</sup><span>N derived from RDX onto sediment and suspended particulates was negligible in the overall mass balance of RDX transformation (2%–3% of transformed&nbsp;</span><sup>15</sup><span>N-RDX). The fraction of&nbsp;</span><sup>15</sup><span>N derived from RDX that was sorbed or assimilated in sediment was largest in the marsh mesocosm (most organic carbon), and smallest in the sand mesocosm (largest grain size and least organic carbon). Sediment redox conditions and available organic carbon stores affect the fate of RDX in different coastal marine habitats.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.140800","usgsCitation":"Ariyarathna, T., Ballentine, M., Vlahos, P., Smith, R.W., Cooper, C., Bohlke, J., Fallis, S., Groshens, T.J., and Tobias, C., 2020, Degradation of RDX (Hexahydro-1,3,5-trinitro-1,3,5-triazine) in contrasting coastal marine habitats: Subtidal non-vegetated (sand), subtidal vegetated (silt/eel grass), and intertidal marsh: Science of the Total Environment, v. 745, 140800, 12 p., https://doi.org/10.1016/j.scitotenv.2020.140800.","productDescription":"140800, 12 p.","ipdsId":"IP-114909","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":456036,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.140800","text":"Publisher Index Page"},{"id":382284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, New York","otherGeospatial":"Long Island Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.66357421875,\n              40.96952973563832\n            ],\n            [\n              -72.2186279296875,\n              41.16211393939692\n            ],\n            [\n              -72.0758056640625,\n              41.31082388091818\n            ],\n            [\n              -72.35595703125,\n              41.32938883149378\n            ],\n            [\n              -72.9327392578125,\n              41.288126204331704\n            ],\n            [\n              -73.2183837890625,\n              41.166249339092\n            ],\n            [\n              -73.56994628906249,\n              41.04621681452063\n            ],\n            [\n              -73.85833740234374,\n              40.863679665481676\n            ],\n            [\n              -73.86932373046875,\n              40.78054143186033\n            ],\n            [\n              -73.65234375,\n              40.826280356677124\n            ],\n            [\n              -73.399658203125,\n              40.865756786006806\n            ],\n            [\n              -73.1524658203125,\n              40.901057866884024\n            ],\n            [\n              -73.092041015625,\n              40.94671366508002\n            ],\n            [\n              -72.79541015625,\n              40.944639085793064\n            ],\n            [\n              -72.66357421875,\n              40.96952973563832\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"745","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ariyarathna, Thivanka","contributorId":191278,"corporation":false,"usgs":false,"family":"Ariyarathna","given":"Thivanka","email":"","affiliations":[],"preferred":false,"id":808430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballentine, Mark","contributorId":191279,"corporation":false,"usgs":false,"family":"Ballentine","given":"Mark","email":"","affiliations":[],"preferred":false,"id":808431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vlahos, Penny","contributorId":191277,"corporation":false,"usgs":false,"family":"Vlahos","given":"Penny","email":"","affiliations":[],"preferred":false,"id":808432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Richard W.","contributorId":191276,"corporation":false,"usgs":false,"family":"Smith","given":"Richard","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":808433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooper, Christopher","contributorId":191280,"corporation":false,"usgs":false,"family":"Cooper","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":808434,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - 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,{"id":70214485,"text":"70214485 - 2020 - Hydrologic signals and surprises in U.S. streamflow records during urbanization","interactions":[],"lastModifiedDate":"2020-09-28T14:17:38.874799","indexId":"70214485","displayToPublicDate":"2020-07-11T09:09:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic signals and surprises in U.S. streamflow records during urbanization","docAbstract":"<div class=\"article-section__content en main\"><p>Urban development has been observed to lead to variable magnitudes of change for stormflow volume and directions of baseflow change across cities. This work examines temporal streamflow trends across the flow duration curve in 53 watersheds during periods of peak urban development, which ranged from 1939 to 2016. We used U.S. Geological Survey streamgage records combined with pre‐development and urbanization characteristics to identify 20&nbsp;years for analysis in each urbanizing watershed. Each urbanizing gage was paired with a nearby reference gage representing climatic trends over the same time period. Results indicated that urbanization, as measured by housing density, did not homogeneously alter the flow duration curve. Urbanization led to widely variable trends in low flow, where half of the urbanizing gages had increasing flow at the 10th non‐exceedance percentile, and the other half had declining low flow. High flows generally increased in streams as the area urbanized. The largest increases in high flows were in streams in semi‐arid and arid areas. The largest urban flow changes had transformations in wastewater infrastructure, water supply infrastructure, and flood control facilities. Isolating flow changes due to urbanization from those of reference sites will serve to better identify and manage synergistic effects of urban development and climate change on flooding and water availability.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019WR027039","usgsCitation":"Bhaskar, A.S., Hopkins, K.G., Smith, B.K., Stephens, T.A., and Miller, A.J., 2020, Hydrologic signals and surprises in U.S. streamflow records during urbanization: Water Resources Research, v. 56, no. 9, e2019WR027039, 22 p., https://doi.org/10.1029/2019WR027039.","productDescription":"e2019WR027039, 22 p.","ipdsId":"IP-104546","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":501007,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11603/42088","text":"External 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,{"id":70217759,"text":"70217759 - 2020 - Gut contents from multiple morphs of lake trout (Salvelinus namaycush) at two offshore shoals in Lake Superior","interactions":[],"lastModifiedDate":"2021-02-02T13:23:41.997749","indexId":"70217759","displayToPublicDate":"2020-07-11T07:19:35","publicationYear":"2020","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":"Gut contents from multiple morphs of lake trout (Salvelinus namaycush) at two offshore shoals in Lake Superior","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">Four lake trout,<span>&nbsp;</span><i>Salvelinus namaycush</i>, Walbaum 1792 morphs occur in Lake Superior: lean, siscowet, humper, and redfin. Diets of lean and siscowet have been relatively well described. However, less is known about diets of humper and redfin, and overall few studies have been conducted at offshore shoals. We compared gut content data among mature (357–867&nbsp;mm) sympatric lake trout morphs caught at two offshore shoals in Lake Superior, Stannard Rock and Superior Shoal, in 2013 and 2014 (total n&nbsp;=&nbsp;416). All morphs were caught in shallow (&lt;50&nbsp;m), mid (50–100&nbsp;m), and deep (&gt;100&nbsp;m) strata. Invertebrates made up a greater portion of the stomach contents than did fish for all morphs by both percent occurrence and proportional biomass, and<span>&nbsp;</span><i>Mysis</i><span>&nbsp;</span>was the primary invertebrate consumed by all morphs at both sites.<span>&nbsp;</span><i>Coregonus</i><span>&nbsp;</span>spp. and deepwater sculpin,<span>&nbsp;</span><i>Myoxocephalus thompsonii</i><span>&nbsp;</span>were the most commonly consumed fish. Humper had the highest average proportional biomass of deepwater sculpin and had no other identifiable species of fish in their guts. Biomass of fish in redfin guts was highest for<span>&nbsp;</span><i>Coregonus</i><span>&nbsp;</span>spp., followed by similar amounts of deepwater sculpin and burbot,<span>&nbsp;</span><i>Lota lota</i>. Diet overlap among morphs was high, and differences in prey consumption between sites are likely related to prey availability. Additional study is needed to determine if differences in trophic ecology between humper and other morphs are sufficient to support concurrent stocking of multiple morphs, particularly in light of recent declines in native prey fishes, especially<span>&nbsp;</span><i>Coregonus</i><span>&nbsp;</span>spp., in the Laurentian Great Lakes.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.06.020","usgsCitation":"Vinson, M., Hoffmann, J., Muir, A.M., Rosinski, C.L., Krueger, C.C., Bronte, C., Hansen, M., Sitar, S.P., W., A.E., Baker, L., and Swanson, H., 2020, Gut contents from multiple morphs of lake trout (Salvelinus namaycush) at two offshore shoals in Lake Superior: Journal of Great Lakes Research, v. 46, no. 5, p. 1382-1390, https://doi.org/10.1016/j.jglr.2020.06.020.","productDescription":"9 p.","startPage":"1382","endPage":"1390","ipdsId":"IP-118198","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":382872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.50561523437499,\n              47.65058757118734\n            ],\n            [\n              -88.253173828125,\n              47.65058757118734\n            ],\n            [\n              -88.253173828125,\n              48.268569112964336\n            ],\n            [\n              -89.50561523437499,\n              48.268569112964336\n            ],\n            [\n              -89.50561523437499,\n              47.65058757118734\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.506103515625,\n              47.79839667295524\n            ],\n            [\n              -86.46240234375,\n              47.79839667295524\n            ],\n            [\n              -86.46240234375,\n              48.378145469762444\n            ],\n            [\n              -87.506103515625,\n              48.378145469762444\n            ],\n            [\n              -87.506103515625,\n              47.79839667295524\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.451171875,\n              46.99524110694593\n            ],\n            [\n              -86.561279296875,\n              46.99524110694593\n            ],\n            [\n              -86.561279296875,\n              47.502358951968574\n            ],\n            [\n              -87.451171875,\n              47.502358951968574\n            ],\n            [\n              -87.451171875,\n              46.99524110694593\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":809545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffmann, John P.","contributorId":207031,"corporation":false,"usgs":false,"family":"Hoffmann","given":"John P.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":809546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muir, A. M.","contributorId":248615,"corporation":false,"usgs":false,"family":"Muir","given":"A.","email":"","middleInitial":"M.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":809547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosinski, Caroline Lynn 0000-0003-3635-2748","orcid":"https://orcid.org/0000-0003-3635-2748","contributorId":248618,"corporation":false,"usgs":true,"family":"Rosinski","given":"Caroline","email":"","middleInitial":"Lynn","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":809548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krueger, C. C.","contributorId":248621,"corporation":false,"usgs":false,"family":"Krueger","given":"C.","email":"","middleInitial":"C.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":809549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bronte, C.R.","contributorId":248624,"corporation":false,"usgs":false,"family":"Bronte","given":"C.R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":809550,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hansen, M.J.","contributorId":248626,"corporation":false,"usgs":false,"family":"Hansen","given":"M.J.","affiliations":[],"preferred":false,"id":809551,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sitar, S. P.","contributorId":248505,"corporation":false,"usgs":false,"family":"Sitar","given":"S.","email":"","middleInitial":"P.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":809552,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"W., Allen E.","contributorId":248630,"corporation":false,"usgs":false,"family":"W.","given":"Allen","email":"","middleInitial":"E.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":809553,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Baker, L.F.","contributorId":248633,"corporation":false,"usgs":false,"family":"Baker","given":"L.F.","email":"","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":809554,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Swanson, H.","contributorId":152186,"corporation":false,"usgs":false,"family":"Swanson","given":"H.","email":"","affiliations":[],"preferred":false,"id":809555,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70212852,"text":"70212852 - 2020 - Direct and indirect effects of fire on eastern box turtles","interactions":[],"lastModifiedDate":"2020-09-02T01:24:45.73454","indexId":"70212852","displayToPublicDate":"2020-07-10T20:21:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Direct and indirect effects of fire on eastern box turtles","docAbstract":"<p><span>Prescribed fire is an increasingly important management tool for eastern deciduous forests, but relativity little is known about the direct effects of fire on the eastern box turtle (</span><i>Terrapene carolina carolina</i><span>). We used very high frequency (VHF) transmitters to monitor mortality, movement, and spatial ecology of 118 box turtles in response to 17 prescribed fires across 4 seasons and 3 sites in east Tennessee, USA, during 2016–2018. Annual survival of box turtles that experienced a prescribed fire event was lower (0.87 ± 0.04 [SE]) than turtles that did not (0.98 ± 0.01) and was negatively correlated with fire intensity, fire temperature the turtle experienced, and litter depth. All prescribed fire‐related mortalities occurred during the early (Apr–May,&nbsp;</span><i>n</i><span> = 5) or late growing season (Sep–Oct,&nbsp;</span><i>n</i><span> = 1). Fourteen percent of box turtles we captured exhibited damage to their carapace from previous fire events. Box turtles that survived prescribed fires were in microsites that did not burn, moved to unburned areas during the fire, or burrowed following ignition. Home range size was similar before and after burns and sinuosity of movements did not differ in burned or unburned areas. Our results indicate that though box turtles are susceptible to prescribed fire during their active season, they have behavioral and physical traits that reduce the direct effects of prescribed fire. Prescribed fire practitioners should be aware of the risks of fire, particularly during the active season. We suggest managers consider altering prescribed fire intensity, seasonality, and firing pattern to minimize risk of direct effects where box turtles are of concern.&nbsp;</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21920","usgsCitation":"Harris, K., Clark, J.D., Elmore, R., and Harper, C., 2020, Direct and indirect effects of fire on eastern box turtles: Journal of Wildlife Management, v. 84, no. 7, p. 1384-1395, https://doi.org/10.1002/jwmg.21920.","productDescription":"12 p.","startPage":"1384","endPage":"1395","ipdsId":"IP-112317","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":378087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.6494140625,\n              35.10193405724606\n            ],\n            [\n              -81.9580078125,\n              35.10193405724606\n            ],\n            [\n              -81.9580078125,\n              36.66841891894786\n            ],\n            [\n              -85.6494140625,\n              36.66841891894786\n            ],\n            [\n              -85.6494140625,\n              35.10193405724606\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, K.","contributorId":222765,"corporation":false,"usgs":false,"family":"Harris","given":"K.","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":797709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":797711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elmore, R.","contributorId":239700,"corporation":false,"usgs":false,"family":"Elmore","given":"R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":797712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harper, C.A.","contributorId":239699,"corporation":false,"usgs":false,"family":"Harper","given":"C.A.","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":797710,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211226,"text":"70211226 - 2020 - Brackish tidal marsh management and the ecology of a declining freshwater turtle","interactions":[],"lastModifiedDate":"2020-10-12T17:01:52.38416","indexId":"70211226","displayToPublicDate":"2020-07-10T15:26:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Brackish tidal marsh management and the ecology of a declining freshwater turtle","docAbstract":"<p><span>Water management practices in tidal marshes of the San Francisco Bay Estuary, California are often aimed at increasing suitable habitat for threatened fish species and sport fishes. However, little is known about how best to manage habitat for other sensitive status species like the semiaquatic freshwater Western Pond Turtle (Actinemys marmorata) that is declining throughout much of its range. Here, we examined the basking activity, abundance, survival, and growth of Western Pond Turtles at two brackish water study sites in Suisun Marsh, California that differed in how they were managed, with one having passive management (i.e., no active water regulation) and another having active management (i.e., water regulated for seasonal hunting). Our results revealed that basking activity was greatest when salinity, water stage, and air temperatures were low, shortwave radiation was high, and wind levels were intermediate. These preferred habitat characteristics often reflected conditions that were naturally maintained at the passively managed, muted tidal site. We also found that turtles were more abundant and had higher survival rates in the passively managed habitat compared to the actively managed habitat (201-323 turtles/km</span><sup>2</sup><span>&nbsp;and 96% survival versus 11-135 turtles/km</span><sup>2</sup><span>&nbsp;and 77% survival, respectively). Finally, characteristic growth constants from von Bertalanffy models showed that turtles grew more quickly in passively managed habitat compared to the actively managed habitat. Our results suggest that management strategies for this sensitive status species may be more effective if they protect passively managed muted tidal systems that limit or delay extreme cycles of salinity and water levels and conserve elevated terrestrial buffer zones adjacent to muted and full tidal systems.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-020-01326-0","usgsCitation":"Agha, M., Yackulic, C., Riley, M.K., Peterson, B., and Todd, B.D., 2020, Brackish tidal marsh management and the ecology of a declining freshwater turtle: Environmental Management, v. 66, p. 644-653, https://doi.org/10.1007/s00267-020-01326-0.","productDescription":"10 p.","startPage":"644","endPage":"653","ipdsId":"IP-108939","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":376527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"San Francisco Bay Estuary, Suisun Marsh","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.12059020996094,\n              38.10052299089303\n            ],\n            [\n              -121.93656921386719,\n              38.10052299089303\n            ],\n            [\n              -121.93656921386719,\n              38.25004423627535\n            ],\n            [\n              -122.12059020996094,\n              38.25004423627535\n            ],\n            [\n              -122.12059020996094,\n              38.10052299089303\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"66","noUsgsAuthors":false,"publicationDate":"2020-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false},{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":793272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":793273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riley, Melissa K.","contributorId":207841,"corporation":false,"usgs":false,"family":"Riley","given":"Melissa","email":"","middleInitial":"K.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":793352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Blair","contributorId":229496,"corporation":false,"usgs":false,"family":"Peterson","given":"Blair","email":"","affiliations":[],"preferred":false,"id":793350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Todd, Brian D","contributorId":167777,"corporation":false,"usgs":false,"family":"Todd","given":"Brian","email":"","middleInitial":"D","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":793351,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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