{"pageNumber":"627","pageRowStart":"15650","pageSize":"25","recordCount":165846,"records":[{"id":70228781,"text":"70228781 - 2020 - Bark beetle-affected forests provide elk only a marginal refuge from hunters","interactions":[],"lastModifiedDate":"2022-02-21T17:08:00.01393","indexId":"70228781","displayToPublicDate":"2020-04-01T10:56:21","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":"Bark beetle-affected forests provide elk only a marginal refuge from hunters","docAbstract":"<p>For nearly 2 decades, the forests of the Rocky Mountains in the United States experienced a bark-beetle (<i>Dendoctronus ponderosae</i>) epidemic. The number of dead and falling trees from this epidemic likely will affect how elk (<i>Cervus canadensis</i>) and hunters use the forest and their interactions. Downed trees potentially create a component of refuge habitat that could affect the effectiveness of hunting to regulate abundance of growing elk populations. We evaluated how forests affected by bark beetles in south-central Wyoming, USA, influenced resource selection of 50 female elk and 374 hunters in 2012–2016, and interactions between elk and hunters. We employed global positioning system (GPS) technology on elk and hunters, and developed a satellite-derived land classification specifically depicting beetle-affected forests. We tested the predictions that elk would increase use of beetle-killed areas from summer to the hunting season, and that hunters would avoid beetle-killed areas regardless of elk use. Elk increased use of beetle-killed areas during hunting seasons as did hunters during the archery season; however, during the rifle season, hunters avoided beetle-killed areas. Nevertheless, during the rifle season, areas of beetle-kill with a high probability of elk occurrence dampened the aversion hunters had towards beetle-killed areas. Therefore, in contrast to our expectations, forests that have been altered by the bark-beetle epidemic may only function marginally as a refuge for elk. Our study area was at the beginning of the tree-fall phase (i.e., ~3–7 yr after peak infestation) of the bark-beetle epidemic; thus, future research efforts should focus on how a continued increase in downed trees will influence interactions between elk and hunters. At current levels of tree fall, however, beetle-kill should not limit the ability of managers to regulate elk herds through harvest.</p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21814","usgsCitation":"Lamont, B.G., Kauffman, M., Merkle, J., Mong, T.W., Hayes, M.M., and Monteith, K.L., 2020, Bark beetle-affected forests provide elk only a marginal refuge from hunters: Journal of Wildlife Management, v. 84, no. 3, p. 413-424, https://doi.org/10.1002/jwmg.21814.","productDescription":"12 p.","startPage":"413","endPage":"424","ipdsId":"IP-114069","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":396229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Medicine Bow-Routt National Forest, Sierra Madre Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": 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Wyoming","active":true,"usgs":false}],"preferred":false,"id":835455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":835454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merkle, Jerod A.","contributorId":270410,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod A.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":835456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mong, Tony W.","contributorId":243064,"corporation":false,"usgs":false,"family":"Mong","given":"Tony","email":"","middleInitial":"W.","affiliations":[{"id":48630,"text":"wy gF","active":true,"usgs":false}],"preferred":false,"id":835457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayes, Matthew M.","contributorId":172344,"corporation":false,"usgs":false,"family":"Hayes","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835458,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monteith, Kevin L.","contributorId":198656,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":835459,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70232201,"text":"70232201 - 2020 - Plasticity of Least Tern and Piping Plover nesting behaviors in response to sand temperature","interactions":[],"lastModifiedDate":"2022-06-13T16:12:30.519152","indexId":"70232201","displayToPublicDate":"2020-04-01T10:52:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10932,"text":"Thermal Biology","active":true,"publicationSubtype":{"id":10}},"title":"Plasticity of Least Tern and Piping Plover nesting behaviors in response to sand temperature","docAbstract":"<p><span>Birds that nest on the ground in open areas, such as Piping&nbsp;Plovers&nbsp;(</span><i>Charadrius melodus</i><span>) and Interior Least Terns (</span><i>Sternula antillarum athalassos</i><span>), are exposed to high temperatures in thermally stressful environments. As a result, some ground-nesting&nbsp;avian species&nbsp;have adapted behavioral strategies to maintain&nbsp;thermal regulation&nbsp;of eggs and themselves. We assessed the impact of sand temperature on&nbsp;shorebird&nbsp;nesting behaviors by installing video cameras and&nbsp;thermocouples&nbsp;at 52 Least Tern and 55 Piping Plover nests on the Missouri River in North Dakota during the 2014–2015 breeding seasons. Daily duration and frequency of shading behaviors exhibited a nonlinear relationship with temperature; therefore, we used segmented regressions to determine at what threshold temperature (mean temperature&nbsp;=&nbsp;25.7</span><sup>⸰</sup><span>C for shading behavior daily frequency and mean temperature&nbsp;=&nbsp;25.1</span><sup>⸰</sup><span>C for shading behavior daily duration) shorebird adults exhibited a behavioral response to rising sand temperatures. Daily nest attendance of both species decreased with increasing sand temperatures in our system. Frequency and duration of daily shading behaviors were positively correlated with sand temperatures above the temperature threshold. Piping Plovers exhibited more and longer shading behaviors above and below the temperature thresholds (below: frequency&nbsp;=&nbsp;10.30&nbsp;±&nbsp;1.69 se, duration&nbsp;=&nbsp;7.29&nbsp;min&nbsp;±&nbsp;2.35 se; above: frequency&nbsp;=&nbsp;59.27&nbsp;± 6.87 se) compared to Least Terns (below: frequency =&nbsp;−1.37&nbsp;±&nbsp;1.98 se, duration&nbsp;=&nbsp;−0.73&nbsp;min&nbsp;±&nbsp;1.51 se; above: frequency&nbsp;=&nbsp;31.32&nbsp;±&nbsp;7.29 se). The effects of sand temperature on avian ground-nesting behavior will be critical to understand in order to adapt or develop recovery plans in response to climate change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jtherbio.2020.102579","usgsCitation":"Andes, A.K., Sherfy, M.H., Shaffer, T.L., and Ellis-Felege, S., 2020, Plasticity of Least Tern and Piping Plover nesting behaviors in response to sand temperature: Thermal Biology, v. 91, 102579, 9 p., https://doi.org/10.1016/j.jtherbio.2020.102579.","productDescription":"102579, 9 p.","ipdsId":"IP-109668","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":457182,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://commons.und.edu/bio-fac/38","text":"Publisher Index Page"},{"id":402097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Garrison Reach, Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.83526611328125,\n              46.854556538855746\n            ],\n            [\n              -100.8929443359375,\n              46.976504510552\n            ],\n            [\n              -100.83526611328125,\n              47.025206001585396\n            ],\n            [\n              -100.92041015625,\n              47.178512264439085\n            ],\n            [\n              -100.953369140625,\n              47.225164175678934\n            ],\n            [\n              -100.94512939453125,\n              47.29040793812928\n            ],\n            [\n              -101.195068359375,\n              47.31462086107463\n  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msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":844579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":844580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellis-Felege, Susan N.","contributorId":244128,"corporation":false,"usgs":false,"family":"Ellis-Felege","given":"Susan N.","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":844581,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215739,"text":"70215739 - 2020 - Appendix C: Patterns of bull trout Salvelinus confluentus demography, life history and abundance in the North Fork Lewis River — 2019 Annual Report","interactions":[],"lastModifiedDate":"2022-04-18T15:07:06.722396","indexId":"70215739","displayToPublicDate":"2020-04-01T10:01:13","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":10267,"text":"Annual Operations Report","active":true,"publicationSubtype":{"id":3}},"title":"Appendix C: Patterns of bull trout Salvelinus confluentus demography, life history and abundance in the North Fork Lewis River — 2019 Annual Report","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Lewis River Bull Trout (Salvelinus confluentus) annual operations report","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"PacifiCorp","usgsCitation":"Al-Chokhachy, R., and Doyle, J., 2020, Appendix C: Patterns of bull trout Salvelinus confluentus demography, life history and abundance in the North Fork Lewis River — 2019 Annual Report: Annual Operations Report, 33 p.","productDescription":"33 p.","ipdsId":"IP-116975","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":398923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379854,"type":{"id":15,"text":"Index Page"},"url":"https://www.pacificorp.com/energy/hydro/lewis-river/acc-tcc.html"}],"country":"United States","state":"Washington","otherGeospatial":"North Fork Lewis River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.39593505859376,\n              45.80965764997408\n            ],\n            [\n              -121.61315917968749,\n              45.80965764997408\n            ],\n            [\n              -121.61315917968749,\n              46.20454728416395\n            ],\n            [\n              -122.39593505859376,\n              46.20454728416395\n            ],\n            [\n              -122.39593505859376,\n              45.80965764997408\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":228929,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":803249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doyle, Jeremiah","contributorId":214617,"corporation":false,"usgs":false,"family":"Doyle","given":"Jeremiah","email":"","affiliations":[{"id":39086,"text":"PacifiCorp","active":true,"usgs":false}],"preferred":false,"id":803250,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70206592,"text":"sir20195128 - 2020 - Hydrogeology and shallow groundwater quality in the tidal Anacostia River watershed, Washington, D.C.","interactions":[],"lastModifiedDate":"2022-04-25T19:32:37.833436","indexId":"sir20195128","displayToPublicDate":"2020-04-01T10:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5128","displayTitle":"Hydrogeology and Shallow Groundwater Quality in the Tidal Anacostia River Watershed, Washington, D.C.","title":"Hydrogeology and shallow groundwater quality in the tidal Anacostia River watershed, Washington, D.C.","docAbstract":"<p>Groundwater hydrology and geochemistry within the tidal Anacostia River watershed of Washington, D.C. are related to natural and human influences. The U.S. Geological Survey, in cooperation with the District Department of Energy &amp; Environment, began investigating the hydrogeology and groundwater quality of the watershed in 2002. Lithologic coring, groundwater-level and tidal monitoring, and water-quality sampling have been conducted to improve understanding of the groundwater-flow system, geochemistry, water quality, and the likely interaction between groundwater and the tidal Anacostia River. The flow and interaction of shallow groundwater with the tidal Anacostia River and other area streams are affected by diversions, pumping, land reclamation, and other human activities in this highly urbanized watershed.</p><p>The tidal Anacostia River watershed is underlain by a wedge of unconsolidated sediments that is part of the Atlantic Coastal Plain Physiographic Province. These sediments form a system of confined and unconfined aquifers. The coarse sediments of the Potomac Group sand-dominated lithofacies form the Patuxent aquifer. The Patuxent aquifer crops out and subcrops in the northwestern part of the study area, but is confined to the southeast by the overlying Potomac Group clay-dominated lithofacies. Overlying the Potomac Group is a series of interbedded sands and clays that form an unconfined surficial aquifer system. Regional correlation in the unconfined surficial aquifer system is complicated by local heterogeneity in aquifer sediments. Local perched and semi-confined conditions occur in some areas.</p><p>Recharge of the confined Patuxent aquifer occurs primarily in the outcrop and subcrop area, although some recharge may also occur through overlying confining units. Recharge to the unconfined surficial aquifer system occurs through infiltration of precipitation and possible artificial recharge from structures such as underground water or sewer pipes. In the Patuxent aquifer, hydraulic gradients indicate downward movement in the outcrop area, whereas hydraulic heads beneath the Anacostia River are higher than land surface, indicating an upward hydraulic gradient. In the unconfined surficial aquifer system, groundwater generally flows from upland recharge areas towards discharge areas near the Anacostia River and its tributaries. Groundwater from the confined part of the Patuxent aquifer also may discharge to the Anacostia River in locations where the overlying clay-dominated lithofacies of the Potomac Group is absent as a result of past geologic and (or) alluvial processes.</p><p>Geochemistry and groundwater quality are affected by hydrologic conditions as well as anthropogenic influences. Local variability in groundwater quality reflects local variability in hydrogeologic conditions and sources of chemicals. Groundwater ranges from anoxic and iron- or calcium-bicarbonate type, to oxic with elevated nitrate. The occurrence and distribution of pesticides, volatile organic compounds, and other selected chemical compounds in groundwater reflect the multitude of sources common to urban areas, as well as variable hydrogeologic and geochemical conditions that affect their fate and transport in the environment. Overall, concentrations of only a few of the over 200 chemical constituents included in laboratory analyses exceeded regulatory standards or guidance values. These include tetrachloroethene and arsenic, which were each detected one time in different wells. There were also several detections of iron and manganese that exceeded regulatory standards or guidance values that are associated with reducing conditions in aquifer sediments.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195128","usgsCitation":"Ator, S.W., Denver, J.M., and Dieter, C.A., 2020, Hydrogeology and shallow groundwater quality in the tidal Anacostia River watershed, Washington, D.C.: U.S. Geological Survey Scientific Investigations Report 2019-5128, 93 p., https://doi.org/10.3133/sir20195128.","productDescription":"Report: viii, 93 p.; 6 Appendixes","numberOfPages":"106","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-039169","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":373579,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2019/5128/sir20195128_appendix5.pdf","text":"Appendix 5","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- South Capitol Street Geotechnical Report, MACTEC Engineering and Consulting, Inc., 2005 (reproduced with permission)"},{"id":399609,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109888.htm"},{"id":373578,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2019/5128/sir20195128_appendix4d.txt","text":"Appendix 4d","size":"1.45 MB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"- Tide Levels at USGS Station 01651750, Anacostia River Aquatic Gardens at Washington, D.C., 2007"},{"id":373577,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2019/5128/sir20195128_appendix4c.txt","text":"Appendix 4c","size":"1.97 MB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"- Tide Levels at USGS Station 01651750, Anacostia River Aquatic Gardens at Washington, D.C., 2006"},{"id":373569,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5128/coverthb.jpg"},{"id":373570,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5128/sir20195128.pdf","text":"Report","size":"3.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5128"},{"id":373575,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2019/5128/sir20195128_appendix4a.txt","text":"Appendix 4a","size":"1.20 MB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"- Tide Levels at USGS Station 01651750, Anacostia River Aquatic Gardens at Washington, D.C., 2004"},{"id":373576,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2019/5128/sir20195128_appendix4b.txt","text":"Appendix 4b","size":"2.08 MB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"- Tide Levels at USGS Station 01651750, Anacostia River Aquatic Gardens at Washington, D.C., 2005"},{"id":373574,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2019/5128/sir20195128_appendix3.xlsx","text":"Appendix 3","size":"59.4 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Instantaneous Groundwater-Level Measurements Collected at Selected Sites in the Anacostia River Watershed, 2002–11"}],"country":"United States","state":"Washington, D.C.","otherGeospatial":"Tidal Anacostia River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.1185302734375,\n              38.79048618862274\n            ],\n            [\n              -76.93313598632812,\n              38.79048618862274\n            ],\n            [\n              -76.93313598632812,\n              38.93698019310818\n            ],\n            [\n              -77.1185302734375,\n              38.93698019310818\n            ],\n            [\n              -77.1185302734375,\n              38.79048618862274\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_md@usgs.gov\" data-mce-href=\"mailto:dc_md@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/md-de-dc-water\" data-mce-href=\"https://www.usgs.gov/centers/md-de-dc-water\">MD-DE-DC Water Science Center</a><br>U.S. Geological Survey<br>5522 Research Park Drive<br>Baltimore, MD 21228</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Geologic Framework</li><li>Hydrology</li><li>Geochemistry and Groundwater Quality</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Selected Lithologic Core Descriptions in and near the Anacostia River Watershed</li><li>Appendix 2. Continuous Groundwater-Level and Temperature Measurements at Sites We Bb 3, We Bb 4, We Cb 5, We Cb 6, We Cb 8, and We Cb 12</li><li>Appendix 3. Instantaneous Groundwater-Level Measurements Collected at Selected Sites in the Anacostia River Watershed, 2002–11</li><li>Appendix 4. Tide Levels at USGS Station 01651750, Anacostia River Aquatic Gardens at Washington, D.C., 2004–07</li><li>Appendix 5. South Capitol Street Geotechnical Report, MACTEC Engineering and Consulting, Inc., 2005 (reproduced with permission)</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-04-01","noUsgsAuthors":false,"publicationDate":"2020-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Ator, Scott W. 0000-0002-9186-4837","orcid":"https://orcid.org/0000-0002-9186-4837","contributorId":220504,"corporation":false,"usgs":true,"family":"Ator","given":"Scott W.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denver, Judith M. 0000-0002-3272-5992","orcid":"https://orcid.org/0000-0002-3272-5992","contributorId":220503,"corporation":false,"usgs":true,"family":"Denver","given":"Judith M.","affiliations":[],"preferred":false,"id":775069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dieter, Cheryl A. 0000-0002-5786-4091","orcid":"https://orcid.org/0000-0002-5786-4091","contributorId":220502,"corporation":false,"usgs":true,"family":"Dieter","given":"Cheryl A.","affiliations":[],"preferred":true,"id":775068,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211888,"text":"70211888 - 2020 - Mercury bioaccumulation in freshwater fishes of the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2021-07-02T13:40:30.072281","indexId":"70211888","displayToPublicDate":"2020-04-01T09:27:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Mercury bioaccumulation in freshwater fishes of the Chesapeake Bay watershed","docAbstract":"Chemical contaminants are a threat to the Chesapeake Bay watershed, with mercury (Hg) among the most prevalent causes of impairment. Despite this, large-scale patterns of Hg concentrations, and the potential risks to fish, wildlife, and humans across the watershed, are poorly understood. We compiled fish Hg data from state monitoring programs and recent research efforts to address this knowledge gap and provide a comprehensive assessment of fish Hg concentrations in the watershed’s freshwater habitats. The resulting dataset consisted of nearly 8000 total Hg (THg) concentrations from 600 locations. Across the watershed, fish THg concentrations spanned a 44-fold range, with mean concentrations varying by 2.6- and 8.8-fold among major sub-watersheds and individual 8-digit hydrological units, respectively. Although, mean THg concentrations tended to be moderate, fish frequently exceeded benchmarks for potential adverse health effects, with 45, 48, and 36% of all samples exceeding benchmarks for human, avian piscivore, and fish risk, respectively. Importantly, the percentage of fish exceeding these benchmarks was not uniform among species or locations. The variation in fish THg concentrations among species and sites highlights the roles of waterbody, landscape, and ecological processes in shaping broad patterns in Hg risk across the watershed. We outline an integrated Hg monitoring program that could identify key factors influencing Hg concentrations across the watershed and facilitate the implementation of management strategies to mitigate the risks posed by Hg.","language":"English","publisher":"Springer","doi":"10.1007/s10646-020-02193-5","usgsCitation":"Willacker, J., Eagles-Smith, C., and Blazer, V., 2020, Mercury bioaccumulation in freshwater fishes of the Chesapeake Bay watershed: Ecotoxicology, v. 29, p. 459-484, https://doi.org/10.1007/s10646-020-02193-5.","productDescription":"26 p.","startPage":"459","endPage":"484","ipdsId":"IP-111752","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":437039,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9T2N1UT","text":"USGS data release","linkHelpText":"Total Mercury Concentrations in Smallmouth Bass from 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]\n}","volume":"29","noUsgsAuthors":false,"publicationDate":"2020-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":207883,"corporation":false,"usgs":true,"family":"Willacker","given":"James","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":795670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":795671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":795672,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70214307,"text":"70214307 - 2020 - Trait integration and functional differentiation among co-existing plant species","interactions":[],"lastModifiedDate":"2020-09-25T14:10:30.6953","indexId":"70214307","displayToPublicDate":"2020-04-01T09:06:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":724,"text":"American Journal of Botany","active":true,"publicationSubtype":{"id":10}},"title":"Trait integration and functional differentiation among co-existing plant species","docAbstract":"<h3 id=\"ajb21451-sec-0001-title\" class=\"article-section__sub-title section1\">Premise</h3><p>Determining which traits characterize strategies of coexisting species is important to developing trait‐based models of plant communities. First, global dimensions may not exist locally. Second, the degree to which traits and trait spectra constitute independent dimensions of functional variation at various scales continues to be refined. Finally, traits may be associated with existing categorical groupings.</p><h3 id=\"ajb21451-sec-0002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We assessed trait integration and differentiation across 57 forest understory plant species in Douglas‐fir forests of western Oregon, United States. We combined measurements for a range of traits with literature‐based estimates of seed mass and species groupings. We used network analysis and nonmetric multidimensional scaling ordination (NMS) to determine the degree of integration.</p><h3 id=\"ajb21451-sec-0003-title\" class=\"article-section__sub-title section1\">Results</h3><p>We observed a strong leaf economics spectrum (LES) integrated with stem but not root traits. However, stem traits and intrinsic water‐use efficiency integrated LES and root traits. Network analyses indicated a modest grouping of a priori trait dimensions. NMS indicated that multivariate differences among species were related primarily to (1) rooting depth and plant height vs. specific root length, (2) the LES, and (3) leaf size vs. seed mass. These differences were related to species groupings associated with growth and life form, leaf lifespan and seed dispersal mechanisms.</p><h3 id=\"ajb21451-sec-0004-title\" class=\"article-section__sub-title section1\">Conclusions</h3><p>The strategies of coexisting understory plant species could not be reduced to a single dimension. Yet, species can be characterized efficiently and effectively for trait‐based studies of plant communities by measuring four common traits: plant height, specific leaf area, leaf size, and seed mass.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ajb2.1451","usgsCitation":"Burton, J.I., Perakis, S.S., Brooks, J.R., and Puettmann, K.J., 2020, Trait integration and functional differentiation among co-existing plant species: American Journal of Botany, v. 107, no. 4, p. 628-638, https://doi.org/10.1002/ajb2.1451.","productDescription":"11 p.","startPage":"628","endPage":"638","ipdsId":"IP-095474","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":457186,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8108537","text":"Publisher Index Page"},{"id":378745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.1455078125,\n              41.983994270935625\n            ],\n            [\n              -120.25634765624999,\n              41.983994270935625\n            ],\n            [\n              -120.25634765624999,\n              45.78284835197676\n            ],\n            [\n              -124.1455078125,\n              45.78284835197676\n            ],\n            [\n              -124.1455078125,\n              41.983994270935625\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burton, Julia I. 0000-0002-3205-8819","orcid":"https://orcid.org/0000-0002-3205-8819","contributorId":192599,"corporation":false,"usgs":false,"family":"Burton","given":"Julia","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":799605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":799606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, J. Renee","contributorId":241131,"corporation":false,"usgs":false,"family":"Brooks","given":"J.","email":"","middleInitial":"Renee","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":799607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Puettmann, Klaus J.","contributorId":192602,"corporation":false,"usgs":false,"family":"Puettmann","given":"Klaus","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":799608,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209458,"text":"70209458 - 2020 - Cooperatively improving tallgrass prairie with adaptive management","interactions":[],"lastModifiedDate":"2020-04-10T16:04:37.654404","indexId":"70209458","displayToPublicDate":"2020-04-01T08:19:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Cooperatively improving tallgrass prairie with adaptive management","docAbstract":"Adaptive management (AM) is widely recommended as an approach for learning to improve resource management, but successful AM projects remain relatively uncommon, with few documented examples applied by natural resource management agencies. We used AM to make recommendations for the management of native tallgrass prairie plant communities in western Minnesota and eastern North and South Dakota, USA. After nine years of data collection and learning, we report on whether the condition of the prairie improved with management and which actions and frequency of action allowed improvement. Our approach to AM employed Bayesian updating to generate annual management recommendations at a site and state-dependent scale. We also used a logistic regression approach to complement the output from the AM model and evaluate the more general conditions which led to attaining management goals. Overall, the cover of native plants increased for low-quality sites, and among the management practices considered, we found that burning most effectively enhanced the native prairie plant community and increased the dominance of native indicator species. Contrary to expectations, the results also suggest that grazing on sites that started in a poor condition were less likely to show improvements in the native plant community. Complementing AM with more traditional statistical analyses can help inform the iterative doubleloop learning phase of the AM framework. AM has many challenges, but we demonstrate that multi-agency AM can be successful. Keys to success include starting the project with an in-person, in-depth workshop; standardized protocols and a centralized database; a core project team with multi-disciplinary backgrounds; stability in project leadership; and regular communication to meet annual deadlines.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3095","collaboration":"","usgsCitation":"Ahlering, M., Carlson, D., Vacek, S., Jacobi, S., Hunt, V., Stanton, J.C., Knutson, M.G., and Lonsdorf, E.V., 2020, Cooperatively improving tallgrass prairie with adaptive management: Ecosphere, v. 11, no. 4, e03095, 21 p., https://doi.org/10.1002/ecs2.3095.","productDescription":"e03095, 21 p.","ipdsId":"IP-106974","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":457188,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3095","text":"Publisher Index Page"},{"id":373859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, North Dakota, South Dakota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.57958984375,\n              42.58544425738491\n            ],\n            [\n              -93.42773437499999,\n              42.58544425738491\n            ],\n            [\n              -93.42773437499999,\n              48.951366470947725\n            ],\n            [\n              -101.57958984375,\n              48.951366470947725\n            ],\n            [\n              -101.57958984375,\n              42.58544425738491\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ahlering, Marissa 0000-0002-3913-428X","orcid":"https://orcid.org/0000-0002-3913-428X","contributorId":171943,"corporation":false,"usgs":false,"family":"Ahlering","given":"Marissa","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":786553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlson, Daren","contributorId":219541,"corporation":false,"usgs":false,"family":"Carlson","given":"Daren","email":"","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":786554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vacek, Sara","contributorId":178445,"corporation":false,"usgs":false,"family":"Vacek","given":"Sara","email":"","affiliations":[],"preferred":false,"id":786555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobi, Sarah","contributorId":149496,"corporation":false,"usgs":false,"family":"Jacobi","given":"Sarah","email":"","affiliations":[{"id":17752,"text":"Chicago Botanic Garden","active":true,"usgs":false}],"preferred":false,"id":786556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Vicky","contributorId":219542,"corporation":false,"usgs":false,"family":"Hunt","given":"Vicky","email":"","affiliations":[{"id":17752,"text":"Chicago Botanic Garden","active":true,"usgs":false}],"preferred":false,"id":786557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":786558,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knutson, Melinda G.","contributorId":205325,"corporation":false,"usgs":false,"family":"Knutson","given":"Melinda","email":"","middleInitial":"G.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":786559,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lonsdorf, Eric V.","contributorId":149495,"corporation":false,"usgs":false,"family":"Lonsdorf","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":17752,"text":"Chicago Botanic Garden","active":true,"usgs":false}],"preferred":false,"id":786560,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70209474,"text":"70209474 - 2020 - Through thick and thin: Sexing Bristle-thighed Curlews Numenius tahitiensis using measures of bill depth","interactions":[],"lastModifiedDate":"2020-05-01T13:15:22.500537","indexId":"70209474","displayToPublicDate":"2020-04-01T07:26:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5557,"text":"Wader Study","active":true,"publicationSubtype":{"id":10}},"title":"Through thick and thin: Sexing Bristle-thighed Curlews Numenius tahitiensis using measures of bill depth","docAbstract":"Birds often exhibit diagnostic traits that differ among individuals of the same species with regard to factors like sex, age, or breeding status. Shorebirds exhibit a wide diversity of colors, shapes, and sizes of their bills, and these traits are commonly used to determine the sex of individuals. In curlews (genus Numenius), length alone accurately separates the sexes in some species, but the shape of the bill has not typically been assessed for this purpose. We collected a suite of measurements on the bills of known-sex Bristle-thighed Curlews N. tahitiensis and determined that standardized measurements of bill depth separated the sexes with high accuracy. A model incorporating the length of a bird’s diagonal tarsus and multiple measurements of the bill was 93.1% accurate in predicting the sex of individual Bristle-thighed Curlews. Simpler models involving only the values of the bill depth near the tip and the base of the bill, however, produced similarly accurate results and are preferred for their parsimony. We advocate the use of one such model that is 93.4% accurate in determining the sex of Bristle-thighed Curlews. As a simple heuristic, a value for the ratio of the bill depth near the tip to that at the base of >0.5 indicated a female, providing an easy field calculation to help determine the sex of Bristle-thighed Curlews. In general, the bills of female Bristle-thighed Curlews are deeper and taper relatively less than those of males. Other observers have qualitatively noted apparent sex-specific differences in the shape of curlew bills, but the generality of our quantitative findings remains to be examined in other curlew species.","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00171","collaboration":"","usgsCitation":"Ruthrauff, D.R., Handel, C.M., Tibbitts, T.L., and Gill, R., 2020, Through thick and thin: Sexing Bristle-thighed Curlews Numenius tahitiensis using measures of bill depth: Wader Study, v. 127, no. 1, p. 31-36, https://doi.org/10.18194/ws.00171.","productDescription":"6 p.","startPage":"31","endPage":"36","ipdsId":"IP-111718","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":437040,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KNRWXB","text":"USGS data release","linkHelpText":"USGS Alaska Science Center Adult Shorebird Morphological Measurement Data"},{"id":373886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":786674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":786675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":102185,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":786676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":786677,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209597,"text":"70209597 - 2020 - Tracking the migration of Pacific Golden-Plovers from nonbreeding grounds at Moorea, French Polynesia, using Pinpoint GPS-Argos tags","interactions":[],"lastModifiedDate":"2020-08-18T13:40:47.395565","indexId":"70209597","displayToPublicDate":"2020-04-01T07:19:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5557,"text":"Wader Study","active":true,"publicationSubtype":{"id":10}},"title":"Tracking the migration of Pacific Golden-Plovers from nonbreeding grounds at Moorea, French Polynesia, using Pinpoint GPS-Argos tags","docAbstract":"<p><span>We used Pinpoint GPS-Argos tags to track migration of Pacific Golden-Plovers&nbsp;</span><i>Pluvialis fulva</i><span>&nbsp;in 2017 and 2018 from Moorea Island, at the extreme southeastern edge of the species’ winter range. Of 20 tagged birds, 13 uploaded locations during all or part of their northward migration. The birds departed in mid-April traveling a long (8,250–10,200 km) northwestward track. Ten individuals signaled from Japan, where they stopped over (or ‘staged’) for periods up to about one month. Almost all stopovers were on the island of Honshu, with coordinates indicating inland habitats, most likely rice fields. In May, at least nine of the plovers left Japan on a mid-length (3,200–5,400 km) northeastward track to the Bering Sea region, where one bird reported from a possible nesting site in Kamchatka Krai and eight from traditional breeding grounds (three from Chukotka, five from Alaska). Thereafter, contact with tags was intermittent and gradually lost. We received signals from only two individuals during fall migration; one bird flew 1,600 km southeast from Alaska before its tag ceased transmitting, and the other flew &gt;8,600 km directly southward from its post-breeding site in southwest Alaska and made landfall in Samoa where transmissions ended. Throughout the study, lengthy transoceanic flights appeared to be nonstop, and the annual migratory pathway (though defined by only a single bird in fall) was circular. As we have shown in other studies, Japan emerges as a key stopover site for Pacific Golden-Plovers during northward migration.</span></p>","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00172","usgsCitation":"Johnson, O.W., Tibbitts, T.L., Weber, M.F., Bybee, D.R., Goodwill, R.H., Bruner, A., Smith, E.J., Buss, E.L., Waddell, T.Q., Brooks, D., Smith, C., and Meyer, J., 2020, Tracking the migration of Pacific Golden-Plovers from nonbreeding grounds at Moorea, French Polynesia, using Pinpoint GPS-Argos tags: Wader Study, v. 127, no. 1, p. 53-59, https://doi.org/10.18194/ws.00172.","productDescription":"7 p.","startPage":"53","endPage":"59","ipdsId":"IP-111619","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":374004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"French Polynesia","volume":"127","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Oscar W.","contributorId":224103,"corporation":false,"usgs":false,"family":"Johnson","given":"Oscar","email":"","middleInitial":"W.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":787062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":102185,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":787063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Michael F.","contributorId":224105,"corporation":false,"usgs":false,"family":"Weber","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":40824,"text":"Brigham Young University-Hawaii","active":true,"usgs":false}],"preferred":false,"id":787064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bybee, David R.","contributorId":224106,"corporation":false,"usgs":false,"family":"Bybee","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":40824,"text":"Brigham Young University-Hawaii","active":true,"usgs":false}],"preferred":false,"id":787065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goodwill, Roger H.","contributorId":224107,"corporation":false,"usgs":false,"family":"Goodwill","given":"Roger","email":"","middleInitial":"H.","affiliations":[{"id":40824,"text":"Brigham Young University-Hawaii","active":true,"usgs":false}],"preferred":false,"id":787066,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bruner, Andrea","contributorId":224108,"corporation":false,"usgs":false,"family":"Bruner","given":"Andrea","email":"","affiliations":[{"id":40824,"text":"Brigham Young University-Hawaii","active":true,"usgs":false}],"preferred":false,"id":787067,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Errika J.","contributorId":224109,"corporation":false,"usgs":false,"family":"Smith","given":"Errika","email":"","middleInitial":"J.","affiliations":[{"id":40824,"text":"Brigham Young University-Hawaii","active":true,"usgs":false}],"preferred":false,"id":787068,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buss, Emmalee L.","contributorId":224110,"corporation":false,"usgs":false,"family":"Buss","given":"Emmalee","email":"","middleInitial":"L.","affiliations":[{"id":40824,"text":"Brigham Young University-Hawaii","active":true,"usgs":false}],"preferred":false,"id":787069,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Waddell, Trinity Q.A.","contributorId":224111,"corporation":false,"usgs":false,"family":"Waddell","given":"Trinity","email":"","middleInitial":"Q.A.","affiliations":[{"id":40824,"text":"Brigham Young University-Hawaii","active":true,"usgs":false}],"preferred":false,"id":787070,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brooks, Daxton","contributorId":224112,"corporation":false,"usgs":false,"family":"Brooks","given":"Daxton","email":"","affiliations":[{"id":40824,"text":"Brigham Young University-Hawaii","active":true,"usgs":false}],"preferred":false,"id":787071,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smith, Carolyn","contributorId":224113,"corporation":false,"usgs":false,"family":"Smith","given":"Carolyn","email":"","affiliations":[{"id":40825,"text":"non affiliated","active":true,"usgs":false}],"preferred":false,"id":787072,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Meyer, Jean-Yves","contributorId":224114,"corporation":false,"usgs":false,"family":"Meyer","given":"Jean-Yves","email":"","affiliations":[{"id":40826,"text":"Research Department, Government of French Polynesia, Papeete, Tahiti","active":true,"usgs":false}],"preferred":false,"id":787073,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70209472,"text":"70209472 - 2020 - Climate and local environment structure asynchrony and the stability of primary production in grasslands","interactions":[],"lastModifiedDate":"2020-06-04T17:10:49.928549","indexId":"70209472","displayToPublicDate":"2020-04-01T06:54:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Climate and local environment structure asynchrony and the stability of primary production in grasslands","docAbstract":"Aim\nClimate variability threatens to destabilize production in many ecosystems. Asynchronous species dynamics may buffer against such variability when a decrease in performance by some species is offset by an increase in performance of others. However, high climatic variability can eliminate species through stochastic extinctions or cause similar stress responses among species that reduce buffering. Local conditions, such as soil nutrients, can also alter production stability directly or by influencing asynchrony. We test these hypotheses using a globally distributed sampling experiment.\n\nLocation\nGrasslands in North America, Europe and Australia.\n\nTime period\nAnnual surveys over 5 year intervals occurring between 2007 and 2014.\n\nMajor taxa studied\nHerbaceous plants.\n\nMethods\nWe sampled annually the per species cover and aboveground community biomass [net primary productivity (NPP)], plus soil chemical properties, in 29 grasslands. We tested how soil conditions, combined with variability in precipitation and temperature, affect species richness, asynchrony and temporal stability of primary productivity. We used bivariate relationships and structural equation modelling to examine proximate and ultimate relationships.\n\nResults\nClimate variability strongly predicted asynchrony, whereas NPP stability was more related to soil conditions. Species richness was structured by both climate variability and soils and, in turn, increased asynchrony. Variability in temperature and precipitation caused a unimodal asynchrony response, with asynchrony being lowest at low and high climate variability. Climate impacted stability indirectly, through its effect on asynchrony, with stability increasing at higher asynchrony owing to lower inter‐annual variability in NPP. Soil conditions had no detectable effect on asynchrony but increased stability by increasing the mean NPP, especially when soil organic matter was high.\n\nMain conclusions\nWe found globally consistent evidence that climate modulates species asynchrony but that the direct effect on stability is low relative to local soil conditions. Nonetheless, our observed unimodal responses to variability in temperature and precipitation suggest asynchrony thresholds, beyond which there are detectable destabilizing impacts of climate on primary productivity.","language":"English","publisher":"Wiley","doi":"10.1111/geb.13094","usgsCitation":"Gilbert, B., MacDougall, A., Kadoya, T., Akasaka, M., Bennett, J.R., Lind, E., Flores-Moreno, H., Firn, J., Hautier, Y., Borer, E., Seabloom, E., Adler, P., Cleland, E., Grace, J., Harpole, W., Esch, E., Moore, J., Knops, J., McCulley, R., Mortensen, B., Bakker, J., and Fay, P., 2020, Climate and local environment structure asynchrony and the stability of primary production in grasslands: Global Ecology and Biogeography, v. 29, no. 7, p. 1177-1188, https://doi.org/10.1111/geb.13094.","productDescription":"12 p.","startPage":"1177","endPage":"1188","ipdsId":"IP-096717","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457195,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/geb.13094","text":"External Repository"},{"id":373885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gilbert, B.","contributorId":223928,"corporation":false,"usgs":false,"family":"Gilbert","given":"B.","affiliations":[{"id":40795,"text":"Department of Ecology and Evolutionary Biology, University of Toronto","active":true,"usgs":false}],"preferred":false,"id":786648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacDougall, A.S.","contributorId":203183,"corporation":false,"usgs":false,"family":"MacDougall","given":"A.S.","email":"","affiliations":[{"id":36573,"text":"Department of Integrative Biology, University of Guelph, Guelph, Ontario,  Canada","active":true,"usgs":false}],"preferred":false,"id":786649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kadoya, T.","contributorId":223929,"corporation":false,"usgs":false,"family":"Kadoya","given":"T.","affiliations":[{"id":40796,"text":"Environmental Biology Division, National Institute for Environmental Studies, Tsukuba, Japan","active":true,"usgs":false}],"preferred":false,"id":786650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Akasaka, M.","contributorId":223930,"corporation":false,"usgs":false,"family":"Akasaka","given":"M.","email":"","affiliations":[{"id":40797,"text":"Faculty of Agriculture, Tokyo University of Agriculture and Technology, Tsukuba, Japan","active":true,"usgs":false}],"preferred":false,"id":786651,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennett, J. R.","contributorId":223931,"corporation":false,"usgs":false,"family":"Bennett","given":"J.","email":"","middleInitial":"R.","affiliations":[{"id":40798,"text":"Department of Biology, Carleton University, Ottawa, Ontario Canada","active":true,"usgs":false}],"preferred":false,"id":786652,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lind, E.M.","contributorId":223932,"corporation":false,"usgs":false,"family":"Lind","given":"E.M.","email":"","affiliations":[{"id":40799,"text":"Department of Ecology, Evolution & Behavior, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":786653,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flores-Moreno, H.","contributorId":223933,"corporation":false,"usgs":false,"family":"Flores-Moreno","given":"H.","email":"","affiliations":[{"id":40799,"text":"Department of Ecology, Evolution & Behavior, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":786654,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Firn, J.","contributorId":203188,"corporation":false,"usgs":false,"family":"Firn","given":"J.","affiliations":[{"id":36575,"text":"Queensland University of Technology, Brisbane, Australia","active":true,"usgs":false}],"preferred":false,"id":786655,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hautier, Y.","contributorId":223934,"corporation":false,"usgs":false,"family":"Hautier","given":"Y.","affiliations":[{"id":40800,"text":"Department of Ecology & Biodiversity, Utrecht University, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":786656,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Borer, E.T.","contributorId":223935,"corporation":false,"usgs":false,"family":"Borer","given":"E.T.","email":"","affiliations":[{"id":40799,"text":"Department of Ecology, Evolution & Behavior, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":786657,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Seabloom, E.W.","contributorId":223936,"corporation":false,"usgs":false,"family":"Seabloom","given":"E.W.","email":"","affiliations":[{"id":40799,"text":"Department of Ecology, Evolution & Behavior, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":786658,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Adler, P.B.","contributorId":223937,"corporation":false,"usgs":false,"family":"Adler","given":"P.B.","email":"","affiliations":[{"id":13063,"text":"Department of Wildland Resources and the Ecology Center, Utah State University","active":true,"usgs":false}],"preferred":false,"id":786659,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cleland, E.E.","contributorId":223938,"corporation":false,"usgs":false,"family":"Cleland","given":"E.E.","affiliations":[{"id":40801,"text":"Department of Ecology, Behavior & Evolution, University of California – San Diego","active":true,"usgs":false}],"preferred":false,"id":786660,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Grace, James 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":219648,"corporation":false,"usgs":true,"family":"Grace","given":"James","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":786661,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Harpole, W.S.","contributorId":223939,"corporation":false,"usgs":false,"family":"Harpole","given":"W.S.","email":"","affiliations":[{"id":40802,"text":"German Centre for Integrative Biodiversity Research","active":true,"usgs":false}],"preferred":false,"id":786662,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Esch, E.H.","contributorId":223940,"corporation":false,"usgs":false,"family":"Esch","given":"E.H.","email":"","affiliations":[{"id":40803,"text":"Department of Integrative Biology, University of Guelph, Guelph, Ontario Canada","active":true,"usgs":false}],"preferred":false,"id":786663,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Moore, J.L.","contributorId":223941,"corporation":false,"usgs":false,"family":"Moore","given":"J.L.","affiliations":[{"id":40804,"text":"School of Biological Sciences, Monash University, Melbourne, Australia","active":true,"usgs":false}],"preferred":false,"id":786664,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Knops, J.","contributorId":223942,"corporation":false,"usgs":false,"family":"Knops","given":"J.","affiliations":[{"id":40805,"text":"School of Biological Sciences, University of Nebraska, Lincoln, Nebraska","active":true,"usgs":false}],"preferred":false,"id":786665,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"McCulley, R.","contributorId":223943,"corporation":false,"usgs":false,"family":"McCulley","given":"R.","affiliations":[{"id":40806,"text":"Department of Plant & Soil Sciences, University of Kentucky, Lexington, Kentucky","active":true,"usgs":false}],"preferred":false,"id":786666,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Mortensen, B.","contributorId":223944,"corporation":false,"usgs":false,"family":"Mortensen","given":"B.","email":"","affiliations":[{"id":25341,"text":"Department of Ecology, Evolution, and Organismal Biology, Iowa State University","active":true,"usgs":false}],"preferred":false,"id":786667,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Bakker, J.","contributorId":223945,"corporation":false,"usgs":false,"family":"Bakker","given":"J.","affiliations":[{"id":40807,"text":"School of Environmental and Forest Sciences. University of Washington","active":true,"usgs":false}],"preferred":false,"id":786668,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Fay, P.A.","contributorId":223946,"corporation":false,"usgs":false,"family":"Fay","given":"P.A.","email":"","affiliations":[{"id":40808,"text":"USDA-ARS Grassland, Soil, and Water Lab, Temple, TX","active":true,"usgs":false}],"preferred":false,"id":786669,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70267439,"text":"70267439 - 2020 - Metabolic rate is negatively linked to adult survival but does not explain latitudinal differences in songbirds","interactions":[],"lastModifiedDate":"2025-05-23T15:01:43.386341","indexId":"70267439","displayToPublicDate":"2020-04-01T00:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Metabolic rate is negatively linked to adult survival but does not explain latitudinal differences in songbirds","docAbstract":"Survival rates vary dramatically among species and predictably across latitudes, but causes of this variation are unclear. The rate of living hypothesis posits that physiological damage from metabolism causes species with faster metabolic rates to exhibit lower survival rates. However, whether increased survival commonly observed in tropical and south temperate latitudes is associated with slower metabolic rate remains unclear. We compared metabolic rates and annual survival rates that we measured across 46 species, and from literature data across 147 species in northern, southern, and tropical latitudes. High metabolic rates were associated with lower survival but survival varied substantially among latitudinal regions independent of metabolism. The inability of metabolic rate to explain latitudinal variation in survival suggests 1) species may evolve physiological mechanisms that mitigate physiological damage from cellular metabolism, and 2) extrinsic rather than intrinsic sources of mortality are the primary causes of latitudinal differences in survival.","language":"English","publisher":"Wiley","doi":"10.1111/ele.13464","usgsCitation":"Boyce, A., Mouton, J., Lloyd, P., Wolf, B., and Martin, T.E., 2020, Metabolic rate is negatively linked to adult survival but does not explain latitudinal differences in songbirds: Ecology Letters, v. 23, no. 4, p. 642-652, https://doi.org/10.1111/ele.13464.","productDescription":"11 p.","startPage":"642","endPage":"652","ipdsId":"IP-096323","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Boyce, Andy J.","contributorId":355819,"corporation":false,"usgs":false,"family":"Boyce","given":"Andy J.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":938198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mouton, James C.","contributorId":355821,"corporation":false,"usgs":false,"family":"Mouton","given":"James C.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":938199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lloyd, Penn","contributorId":355823,"corporation":false,"usgs":false,"family":"Lloyd","given":"Penn","affiliations":[{"id":84839,"text":"uct","active":true,"usgs":false}],"preferred":false,"id":938200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolf, Blair O.","contributorId":355824,"corporation":false,"usgs":false,"family":"Wolf","given":"Blair O.","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":938201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938202,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70209461,"text":"70209461 - 2020 - Mapping the thermal landscape of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2020-06-03T00:33:27.008558","indexId":"70209461","displayToPublicDate":"2020-03-31T19:30:42","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5000,"text":"Long Term Resource Monitoring Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"LTRMP-2017TL2","title":"Mapping the thermal landscape of the Upper Mississippi River","docAbstract":"<p><span>Temperature has a fundamental influence on physical, chemical and biological processing in aquatic ecosystems. River temperatures respond to a diverse array of drivers including air temperature, streamflow, and thermal inputs, but the physical template has been shown to play a significant role in structuring spatial and temporal variation in water temperature. How these factors interact to affect water temperature in complex floodplain river habitats such as those present in the Upper Mississippi River System (UMRS) is not well-studied. We used a combination of airborne thermal imagery and continuous temperature loggers deployed across aquatic area types to evaluate spatial and temporal patterns in water temperature in Navigation Pool 8 during the summer and fall of 2017. The mid-wave infrared thermal camera available for this study is not commonly used for thermal imagery acquisition over water, so we discuss accommodations that were made to account for potential interferences and describe considerations for future users interested in using the technology. We quantified thermal metrics from imagery and continuous loggers (e.g., mean, coefficient of variation, range) and compared those to hydrogeomorphic variability across aquatic areas using a Geographic Information System (GIS) dataset. Our findings showed that both temporal and spatial temperature patterns were linked to variation in depth and connectivity of aquatic areas across the pool. Despite some of the technical challenges associated with acquiring this imagery, the method shows promise for characterizing spatial variation in surface temperatures in the UMRS associated with complex physical features such as habitat rehabilitation and enhancement projects.</span></p>","language":"English","publisher":"U.S. Army Corps of Engineers, Upper Mississippi River Restoration Program","usgsCitation":"Jankowski, K.J., Robinson, L.R., Kalas, J., Carhart, A., Lubinski, B.R., and Ruhser, J., 2020, Mapping the thermal landscape of the Upper Mississippi River: Long Term Resource Monitoring Technical Report LTRMP-2017TL2, 27 p.","productDescription":"27 p.","ipdsId":"IP-103180","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":375283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375282,"rank":1,"type":{"id":15,"text":"Index 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John","contributorId":223883,"corporation":false,"usgs":false,"family":"Kalas","given":"John","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":786565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carhart, Alicia 0000-0002-9977-8124","orcid":"https://orcid.org/0000-0002-9977-8124","contributorId":223884,"corporation":false,"usgs":false,"family":"Carhart","given":"Alicia","email":"","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":786566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lubinski, Brian R.","contributorId":177523,"corporation":false,"usgs":false,"family":"Lubinski","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":786567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruhser, Janis 0000-0001-9987-2578 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,{"id":70209335,"text":"70209335 - 2020 - Subalpine sentinels: Understanding & managing whitebark pine in California","interactions":[],"lastModifiedDate":"2020-06-03T00:19:32.483511","indexId":"70209335","displayToPublicDate":"2020-03-31T19:19:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1693,"text":"Fremontia","active":true,"publicationSubtype":{"id":10}},"title":"Subalpine sentinels: Understanding & managing whitebark pine in California","docAbstract":"<p>A hardy inhabitant of the subalpine zone of western North America, whitebark pine (<i>Pinus albicaulis</i>) is a keystone tree species in California’s subalpine forests, where it regularly defines the upper treeline in the Sierra Nevada, Cascade, Warner, and Klamath Mountains. Walking portions of the John Muir Trail in the southern Sierra Nevada, moving through extensive stands and mats of whitebark, one might wonder why such an apparently widespread and hardy species would be under consideration for listing as a federally endangered species.</p>","language":"English","publisher":"California Native Plant Society","usgsCitation":"Slaton, M., Mayer, M., Gross, S., Nesmith, J., Dudney, J., van Mantgem, P., and Butz, R.J., 2020, Subalpine sentinels: Understanding & managing whitebark pine in California: Fremontia, v. 47, no. 1, p. 34-42.","productDescription":"9 p.","startPage":"34","endPage":"42","ipdsId":"IP-102854","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":375281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70209127,"text":"70209127 - 2020 - Learning from real-world experience to understand renewable energy impacts to wildlife","interactions":[],"lastModifiedDate":"2020-06-02T23:59:44.645436","indexId":"70209127","displayToPublicDate":"2020-03-31T18:56:23","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5964,"text":"Energy Research ad Development Division Final Research Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"CEC-500-2020-012","title":"Learning from real-world experience to understand renewable energy impacts to wildlife","docAbstract":"The project team sought to use real-world data to understand adverse effects to wildlife\nof renewable energy production that is critical to meeting California’s climate and clean\nenergy goals. The project had three main components. First, a systematic literature\nreview studied 20 peer-reviewed publications and 612 reports from other nonreviewed\nsources from 231 wind and solar facilities in North America. Within California, 50\npercent of facilities collected pre- and post-construction data, 30 percent had\nexperimental study designs, and fewer than 7 percent estimated detection probability\nduring habitat use surveys. Mitigation at wind power plants focused on repowering to\nreduce risk to soaring birds and at solar facilities emphasized wildlife deterrence and\ncompensatory mitigation. Second, the authors developed a best-practices approach to\nemploy environmental isotopes (for example, hydrogen obtained from animal tissue)\nand rescaling functions (a statistical approach to modeling the relationship between\nvariables) to assign individual birds or bats to their place of origin. The team applied\nthis approach to feathers from 411 individuals of 12 species killed at wind facilities and\n515 individuals of 19 species killed at solar facilities. From 24 percent to 100 percent\n(mean +/- SD = 49 percent +/- 33 percent) and 25 percent to 100 percent (73 percent +/-\n25 percent) of birds grew feathers at a location outside the collection site at wind and\nsolar facilities, respectively. Third, the authors constructed Bayesian integrated\npopulation models (probability models) for 29 focal species affected by wind or solar\nenergy generation in California. Species predominantly local in origin generally had\nlower population growth rates than did species that were predominantly nonlocal in\norigin. These patterns illustrate the complex linkages between behavioral ecology,\nvulnerability to mortality, and population-level impacts to wildlife from fatalities at\nrenewable energy facilities. This project benefits the renewable energy sector by\nproviding a framework and specific tools for understanding environmental impacts of\nrenewable energy generation.","language":"English","publisher":"California Energy Commission","usgsCitation":"Conkling, T., Vander Zanden, H.B., Poessel, S.A., Loss, S., Allison, T.D., Diffendorfer, J., Duerr, A.E., Nelson, D.M., Yee, J.L., and Katzner, T., 2020, Learning from real-world experience to understand renewable energy impacts to wildlife: Energy Research ad Development Division Final Research Report CEC-500-2020-012, 132 p.","productDescription":"132 p.","ipdsId":"IP-106403","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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University","active":true,"usgs":false}],"preferred":false,"id":785030,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nelson, David M.","contributorId":175098,"corporation":false,"usgs":false,"family":"Nelson","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory,  301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":785031,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yee, Julie L","contributorId":223429,"corporation":false,"usgs":false,"family":"Yee","given":"Julie","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":785032,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":785023,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70209317,"text":"sir20205017 - 2020 - Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona","interactions":[{"subject":{"id":70208586,"text":"sir20205017A - 2020 - Groundwater availability in the Truxton basin, northwestern Arizona","indexId":"sir20205017A","publicationYear":"2020","noYear":false,"chapter":"A","displayTitle":"Groundwater Availability in the Truxton Basin, Northwestern Arizona","title":"Groundwater availability in the Truxton basin, northwestern Arizona"},"predicate":"IS_PART_OF","object":{"id":70209317,"text":"sir20205017 - 2020 - Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona","indexId":"sir20205017","publicationYear":"2020","noYear":false,"title":"Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona"},"id":1},{"subject":{"id":70208636,"text":"sir20205017B - 2020 - Geology and hydrology of the Truxton basin and Hualapai Plateau, northwestern Arizona","indexId":"sir20205017B","publicationYear":"2020","noYear":false,"chapter":"B","displayTitle":"Geology and Hydrology of the Truxton Basin and Hualapai Plateau, Northwestern Arizona","title":"Geology and hydrology of the Truxton basin and Hualapai Plateau, northwestern Arizona"},"predicate":"IS_PART_OF","object":{"id":70209317,"text":"sir20205017 - 2020 - Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona","indexId":"sir20205017","publicationYear":"2020","noYear":false,"title":"Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona"},"id":2},{"subject":{"id":70208714,"text":"sir20205017C - 2020 - Gravity surveys and depth to bedrock in the Truxton basin, northwestern Arizona","indexId":"sir20205017C","publicationYear":"2020","noYear":false,"chapter":"C","displayTitle":"Gravity Surveys and Depth to Bedrock in the Truxton Basin, Northwestern Arizona","title":"Gravity surveys and depth to bedrock in the Truxton basin, northwestern Arizona"},"predicate":"IS_PART_OF","object":{"id":70209317,"text":"sir20205017 - 2020 - Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona","indexId":"sir20205017","publicationYear":"2020","noYear":false,"title":"Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona"},"id":3},{"subject":{"id":70208724,"text":"sir20205017D - 2020 - Major hydrostratigraphic contacts of the Truxton basin and Hualapai Plateau, northwestern Arizona, developed from airborne electromagnetic data","indexId":"sir20205017D","publicationYear":"2020","noYear":false,"chapter":"D","displayTitle":"Major Hydrostratigraphic Contacts of the Truxton Basin and Hualapai Plateau, Northwestern Arizona, Developed from Airborne Electromagnetic Data","title":"Major hydrostratigraphic contacts of the Truxton basin and Hualapai Plateau, northwestern Arizona, developed from airborne electromagnetic data"},"predicate":"IS_PART_OF","object":{"id":70209317,"text":"sir20205017 - 2020 - Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona","indexId":"sir20205017","publicationYear":"2020","noYear":false,"title":"Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona"},"id":4},{"subject":{"id":70209230,"text":"sir20205017E - 2020 - Simulation of groundwater-level changes from projected groundwater withdrawals in the Truxton basin, northwestern Arizona","indexId":"sir20205017E","publicationYear":"2020","noYear":false,"chapter":"E","displayTitle":"Simulation of Groundwater-Level Changes from Projected Groundwater Withdrawals in the Truxton Basin, Northern Arizona","title":"Simulation of groundwater-level changes from projected groundwater withdrawals in the Truxton basin, northwestern Arizona"},"predicate":"IS_PART_OF","object":{"id":70209317,"text":"sir20205017 - 2020 - Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona","indexId":"sir20205017","publicationYear":"2020","noYear":false,"title":"Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona"},"id":5}],"lastModifiedDate":"2020-04-07T16:55:08.827197","indexId":"sir20205017","displayToPublicDate":"2020-03-31T17:47:07","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5017","displayTitle":"Geophysical Surveys, Hydrogeologic Characterization, and Groundwater Flow Model for the Truxton Basin and Hualapai Plateau, Northwestern Arizona","title":"Geophysical surveys, hydrogeologic characterization, and groundwater flow model for the Truxton basin and Hualapai Plateau, northwestern Arizona","docAbstract":"<p>This is the third and final report in a series that describe the groundwater resources of the Hualapai Indian Reservation. These reports document the findings of a comprehensive groundwater study conducted on the reservation and adjacent areas from 2015 through 2018 by the U.S. Geological Survey in cooperation with the Bureau of Reclamation. The first report described the hydrologic framework and characterization of the Truxton aquifer on the Hualapai Indian Reservation (Bills and Macy, 2016). The <a href=\"https://doi.org/10.3133/sir20205025\" data-mce-href=\"https://doi.org/10.3133/sir20205025\">second report</a> described the hydrogeologic characterization of the Hualapai Plateau part of the reservation (Mason, Macy, and others, 2020). <br>This report includes five chapters. <a href=\"https://doi.org/10.3133/sir20205017A\" data-mce-href=\"https://doi.org/10.3133/sir20205017A\">Chapter A</a>&nbsp;(Mason, Knight, and others, 2020) is a summary of this multichapter volume and briefly describes the study area.&nbsp;<a href=\"https://doi.org/10.3133/sir20205017B\" data-mce-href=\"https://doi.org/10.3133/sir20205017B\">Chapter B</a>&nbsp;(Mason, Bills, and Macy, 2020) describes the geology and hydrology of the Truxton basin and Hualapai Plateau.&nbsp;<a href=\"https://doi.org/10.3133/sir20205017C\" data-mce-href=\"https://doi.org/10.3133/sir20205017C\">Chapter C</a>&nbsp;(Kennedy, 2020) describes the results of a gravity geophysical survey of the Truxton basin.&nbsp;<a href=\"https://doi.org/10.3133/sir20205017D\" data-mce-href=\"https://doi.org/10.3133/sir20205017D\">Chapter D</a>&nbsp;(Ball, 2020) describes the findings of an airborne electromagnetic survey of the Truxton aquifer and Hualapai Plateau.&nbsp;<a href=\"https://doi.org/10.3133/sir20205017E\" data-mce-href=\"https://doi.org/10.3133/sir20205017E\">Chapter E</a>&nbsp;(Knight, 2020) describes the results of a transient groundwater model created for the entire Truxton aquifer both on and off the reservation. The groundwater-flow model is used to estimate projected groundwater levels based on future groundwater withdrawal scenarios.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205017","collaboration":"Prepared in cooperation with the Bureau of Reclamation","productDescription":"viii, 38 p.","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":373685,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5017/coverthb.jpg"},{"id":373795,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205025","text":"Scientific Investigations Report 2020-5025","linkHelpText":" - Hydrogeologic Characterization of the Hualapai Plateau on the Western Hualapai Indian Reservation, Northwestern Arizona"},{"id":373794,"rank":2,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20165171","text":"Scientific Investigations Report 2016-5171","linkHelpText":" - Hydrogeologic framework and characterization of the Truxton Aquifer on the Hualapai Reservation, Mohave County, Arizona"}],"country":"United States","state":"Arizona ","otherGeospatial":" Truxton basin, Hualapai Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.0655517578125,\n              35.60371874069731\n            ],\n            [\n              -112.8900146484375,\n              35.60371874069731\n            ],\n            [\n              -112.8900146484375,\n              36.39917828607653\n            ],\n            [\n              -114.0655517578125,\n              36.39917828607653\n            ],\n            [\n              -114.0655517578125,\n              35.60371874069731\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_az@usgs.gov\" data-mce-href=\"mailto:dc_az@usgs.gov\">Director</a>,<br><a href=\"http://az.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"http://az.water.usgs.gov/\">Arizona Water 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>520 N. 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,{"id":70211959,"text":"70211959 - 2020 - Gene transcript profiling in desert bighorn sheep","interactions":[],"lastModifiedDate":"2020-08-12T21:28:34.125428","indexId":"70211959","displayToPublicDate":"2020-03-31T16:22:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Gene transcript profiling in desert bighorn sheep","docAbstract":"<p><span>Respiratory disease is a key factor affecting the conservation and recovery of bighorn sheep (</span><i>Ovis canadensis<span>&nbsp;</span></i><span>) populations. Innovative, minimally invasive tools such as gene transcription–based diagnostics have the potential to improve our understanding of the broad range of factors that can affect the health of wild sheep. Evaluation of transcript levels for genes representative of multiple internal systems enables measurement of physiological responses of individuals as well as populations to environmental stressors such as pathogens, nutritional deficiency, or contaminants. We developed real‐time polymerase chain reaction assays for 14 genes of interest representing systems including inflammation, cell signaling, detoxification, antiviral, antibacterial, or general stress. Initial results from desert bighorn sheep (</span><i>O. c. nelsoni<span>&nbsp;</span></i><span>) sampled from the River, Muddy, and Bare mountains as well as from the Pintwater Range, in southern Nevada, USA, indicated unique transcript profiles associated with each population. This initial study provides the framework from which controlled variable or longitudinal studies can be made, thus augmenting the potential to inform management actions in the future.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1078","usgsCitation":"Bowen, L., Longshore, K., Wolff, P., Klinger, R.C., Cox, M., Bullock, S., Waters-Dynes, S.C., and Miles, A.K., 2020, Gene transcript profiling in desert bighorn sheep: Wildlife Society Bulletin, v. 44, no. 2, p. 323-332, https://doi.org/10.1002/wsb.1078.","productDescription":"10 p.","startPage":"323","endPage":"332","ipdsId":"IP-110200","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":499866,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/786626d02c084267b8ba32305e06594b","text":"External Repository"},{"id":377447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Bare Mountain Range, Muddy Mountains, Pintwater Range, River Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.093017578125,\n              37.57070524233116\n            ],\n            [\n              -117.861328125,\n              37.60552821745789\n            ],\n            [\n              -115.740966796875,\n              35.94243575255426\n            ],\n            [\n              -114.873046875,\n              35.25459097465022\n            ],\n            [\n              -114.81811523437501,\n              36.01356058518153\n            ],\n            [\n              -114.53247070312499,\n              36.26199220445664\n            ],\n            [\n              -114.158935546875,\n              36.1733569352216\n            ],\n            [\n              -114.093017578125,\n              36.1733569352216\n            ],\n            [\n              -114.093017578125,\n              37.57070524233116\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":795956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Longshore, Kathleen 0000-0001-6621-1271","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":216374,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":795957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolff, Peregrine","contributorId":238063,"corporation":false,"usgs":false,"family":"Wolff","given":"Peregrine","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":795958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":795959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cox, Mike","contributorId":198457,"corporation":false,"usgs":false,"family":"Cox","given":"Mike","email":"","affiliations":[],"preferred":false,"id":795960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bullock, Sarah","contributorId":238064,"corporation":false,"usgs":false,"family":"Bullock","given":"Sarah","email":"","affiliations":[{"id":47694,"text":"USFWS - Desert NWR","active":true,"usgs":false}],"preferred":false,"id":795961,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":795962,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":795963,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70205768,"text":"fs20193056 - 2020 - Groundwater quality in the Biscayne aquifer, Florida","interactions":[],"lastModifiedDate":"2022-04-19T21:32:44.550914","indexId":"fs20193056","displayToPublicDate":"2020-03-31T15:40:30","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":"2019-3056","displayTitle":"Groundwater Quality in the Biscayne Aquifer, Florida","title":"Groundwater quality in the Biscayne aquifer, Florida","docAbstract":"<p>Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water (Burow and Belitz, 2014). The Biscayne aquifer constitutes one of the important aquifers being evaluated.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193056","collaboration":"National Water-Quality Program<br>National Water-Quality Assessment Project","usgsCitation":"Kingsbury, J.A., 2020, Groundwater quality in the Biscayne aquifer, Florida (ver. 1.1, September 2020): U.S. Geological Survey Fact Sheet 2019-3056, 4 p., https://doi.org/10.3133/fs20193056.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-105081","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":399139,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109893.htm"},{"id":373708,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W4RR74","linkHelpText":"Datasets from Groundwater-Quality and Select Quality-Control Data from the National Water-Quality Assessment Project, January through December 2016, and Previously Unpublished Data from 2013 to 2015"},{"id":378458,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2019/3056/versionHist.txt","linkFileType":{"id":2,"text":"txt"}},{"id":373672,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3056/fs20193056_v1.1.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2019-3056"},{"id":373671,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3056/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.5864,\n              25.3506\n            ],\n            [\n              -80.0686,\n              25.3506\n            ],\n            [\n              -80.0686,\n              26.3506\n            ],\n            [\n              -80.5864,\n              26.3506\n            ],\n            [\n              -80.5864,\n              25.3506\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: March 31, 2020; Version 1.1: September 16, 2020","contact":"<p><a href=\"mailto:nawqapublicinfo@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:nawqapublicinfo@usgs.gov\">NAWQA Chief Scientist</a><br><a href=\"https://water.usgs.gov/nawqa/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://water.usgs.gov/nawqa/\">National Water-Quality Program</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>12201 Sunrise Valley Drive, MS 413<br>Reston, VA 20192-0002</p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-03-31","revisedDate":"2020-09-16","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Kingsbury, James A. 0000-0003-4985-275X jakingsb@usgs.gov","orcid":"https://orcid.org/0000-0003-4985-275X","contributorId":883,"corporation":false,"usgs":true,"family":"Kingsbury","given":"James","email":"jakingsb@usgs.gov","middleInitial":"A.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":772268,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70205766,"text":"fs20193057 - 2020 - Groundwater quality in the Ozark Plateaus aquifer system, central United States","interactions":[],"lastModifiedDate":"2022-04-19T21:31:51.618684","indexId":"fs20193057","displayToPublicDate":"2020-03-31T15:37:59","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":"2019-3057","displayTitle":"Groundwater Quality in the Ozark Plateaus Aquifer System, Central United States","title":"Groundwater quality in the Ozark Plateaus aquifer system, central United States","docAbstract":"<p>Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water (Burow and Belitz, 2014). 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,{"id":70205767,"text":"fs20193058 - 2020 - Groundwater quality in the Columbia Plateau basaltic-rock aquifers, northwestern United States","interactions":[],"lastModifiedDate":"2022-04-19T21:39:48.583358","indexId":"fs20193058","displayToPublicDate":"2020-03-31T15:36:46","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":"2019-3058","displayTitle":"Groundwater Quality in the Columbia Plateau Basaltic-Rock Aquifers, Northwestern United States","title":"Groundwater quality in the Columbia Plateau basaltic-rock aquifers, northwestern United States","docAbstract":"<p>Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water. The Columbia Plateau basaltic-rock aquifers constitute one of the important resources being evaluated.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193058","collaboration":"National Water-Quality Program<br>National Water-Quality Assessment Project","usgsCitation":"Musgrove, M., 2020, Groundwater quality in the Columbia Plateau basaltic-rock aquifers, northwestern United States: U.S. Geological Survey Fact Sheet 2019-3058, 4 p., https://doi.org/10.3133/fs20193058.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-105076","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":399140,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109895.htm"},{"id":373668,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3058/fs20193058.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2019-3058"},{"id":373667,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3058/coverthb.jpg"},{"id":373687,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W4RR74","linkHelpText":"Datasets from Groundwater-Quality and Select Quality-Control Data from the National Water-Quality Assessment Project, January through December 2016, and Previously Unpublished Data from 2013 to 2015"}],"country":"United States","state":"Idaho, Oregon, Washington","otherGeospatial":"Columbia Plateau basaltic-rock aquifers","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.5167,\n              44\n            ],\n            [\n              -117,\n              44\n            ],\n            [\n              -117,\n              47.7692\n            ],\n            [\n              -122.5167,\n              47.7692\n            ],\n            [\n              -122.5167,\n              44\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"mailto:nawqapublicinfo@usgs.gov\" href=\"mailto:nawqapublicinfo@usgs.gov\" target=\"_blank\" rel=\"noopener\">NAWQA Chief Scientist</a><br><a href=\"https://water.usgs.gov/nawqa/\" target=\"_blank\" data-mce-href=\"https://water.usgs.gov/nawqa/\" rel=\"noopener\">National Water-Quality Program</a><br><a data-mce-href=\"https://usgs.gov/\" href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>12201 Sunrise Valley Drive, MS 413<br>Reston, VA 20192-0002<br></p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-03-31","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Musgrove, MaryLynn 0000-0003-1607-3864 mmusgrov@usgs.gov","orcid":"https://orcid.org/0000-0003-1607-3864","contributorId":197013,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","email":"mmusgrov@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":772267,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70205769,"text":"fs20193055 - 2020 - Groundwater quality in the High Plains aquifer","interactions":[],"lastModifiedDate":"2022-04-19T21:24:28.641843","indexId":"fs20193055","displayToPublicDate":"2020-03-31T15:35:26","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":"2019-3055","displayTitle":"Groundwater Quality in the High Plains Aquifer","title":"Groundwater quality in the High Plains aquifer","docAbstract":"<p>Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water. The High Plains aquifer constitutes one of the important aquifers being evaluated.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193055","collaboration":"National Water-Quality Program<br>National Water-Quality Assessment Project","usgsCitation":"Musgrove, M., 2020, Groundwater quality in the High Plains aquifer: U.S. Geological Survey Fact Sheet 2019-3055, 4 p., https://doi.org/10.3133/fs20193055.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-105077","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":373669,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3055/coverthb.jpg"},{"id":399137,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109892.htm"},{"id":373686,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W4RR74","linkHelpText":"Datasets from Groundwater-Quality and Select Quality-Control Data from the National Water-Quality Assessment Project, January through December 2016, and Previously Unpublished Data from 2013 to 2015"},{"id":373670,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3055/fs20193055.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2019-3055"}],"country":"United States","state":"Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, Wyoming","otherGeospatial":"High Plains Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106,\n              31.9167\n            ],\n            [\n              -97,\n              31.9167\n            ],\n            [\n              -97,\n              44\n            ],\n            [\n              -106,\n              44\n            ],\n            [\n              -106,\n              31.9167\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:nawqapublicinfo@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:nawqapublicinfo@usgs.gov\">NAWQA Chief Scientist</a><br><a href=\"https://water.usgs.gov/nawqa/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://water.usgs.gov/nawqa/\">National Water-Quality Program</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>12201 Sunrise Valley Drive, MS 413<br>Reston, VA 20192-0002</p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2020-03-31","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Musgrove, MaryLynn 0000-0003-1607-3864 mmusgrov@usgs.gov","orcid":"https://orcid.org/0000-0003-1607-3864","contributorId":197013,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","email":"mmusgrov@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":772269,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216743,"text":"70216743 - 2020 - Environmental DNA: An emerging tool for understanding aquatic biodiversity","interactions":[],"lastModifiedDate":"2020-12-03T20:58:33.972978","indexId":"70216743","displayToPublicDate":"2020-03-31T14:54:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA: An emerging tool for understanding aquatic biodiversity","docAbstract":"<p><span>Field surveys for aquatic organisms provide critical information that is important for robust resource management. However, such surveys are expensive and labor intensive, particularly in large, remote landscapes like those that characterize much of Alaska. Traditionally, characterizing aquatic biodiversity necessitated the physical capture and identification of individual organisms, which required that field crews have some level of expertise in identifying the species likely to be present. Many other limitations of surveys that rely on direct observation of aquatic organisms have been noted (Evans and Lamberti 2018). However, what if it were possible to identify all of the species present at a site without having to capture or even see them? While we are not there yet, the recent revolution in environmental DNA (eDNA) technology is bringing us closer to that goal (Thomsen and Willerslev 2014).</span></p>","language":"English","publisher":"National Park Service","usgsCitation":"Simmons, T., Menning, D.M., and Talbot, S.L., 2020, Environmental DNA: An emerging tool for understanding aquatic biodiversity: Alaska Park Science, v. 19, no. 1, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-107343","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":380957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":380956,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/aps-19-1-6.htm"}],"country":"United 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stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":806031,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70209275,"text":"ofr20201033 - 2020 - Evaluation of water temperature effects on adult sockeye salmon (Oncorhynchus nerka) behavior in the Yakima River, Washington, 2019","interactions":[],"lastModifiedDate":"2020-04-01T07:01:47","indexId":"ofr20201033","displayToPublicDate":"2020-03-31T14:45:03","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":"2020-1033","displayTitle":"Evaluation of Water Temperature Effects on Adult Sockeye Salmon (<em>Oncorhynchus nerka</em>) Behavior in the Yakima River, Washington, 2019","title":"Evaluation of water temperature effects on adult sockeye salmon (Oncorhynchus nerka) behavior in the Yakima River, Washington, 2019","docAbstract":"<p class=\"p1\">A study was conducted in the lower Yakima River, Washington, during June–October 2019 to evaluate water temperature effects on adult sockeye salmon (<i>Oncorhynchus nerka</i>) behavior. A total of 60 sockeye salmon adults were tagged with radio transmitters and monitored during the study. Fourteen of the fish were collected and tagged at Prosser Dam in late June and the remainder were collected and tagged at the mouth of the Yakima River in late July. Water temperature exceeded 20 degrees Celsius (°C), conditions shown to block upstream migration of adult sockeye salmon in other river systems, from June 9, 2019 to September 15, 2019. These elevated temperatures seemed to affect the behavior of tagged fish during this study. Fish that were collected and tagged at Prosser Dam left the Yakima River within days of release and tagged fish that were collected and released at the mouth of the Yakima River failed to enter and move upstream until mid-September when water temperature decreased to less than (&lt;) 20 °C. Monitoring sites were located adjacent to several known areas of cool-water inputs that may provide thermal refuge for fish in the lower Yakima River to determine if tagged fish spent time in these areas. Although several tagged fish moved repeatedly past these sites, most fish spent &lt;30 minutes at any given site, indicating that fish were actively migrating past the sites rather than holding near cool-water inputs. A single tagged fish moved upstream to Roza Dam and was collected for upstream transport to Cle Elum Reservoir during our study. Additional research in subsequent years likely will be required to better understand how water temperature affects adult sockeye salmon in the lower Yakima River.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201033","collaboration":"Prepared in cooperation with the Bureau of Reclamation, Yakama Nation Fisheries, and Washington Department of Fish and Wildlife","usgsCitation":"Kock, T.J., Evans., S.D., Hansen, A.C., Ekstrom, B.K., Visser, R., Saluskin, B., and Hoffarth, P., 2020, Evaluation of water temperature effects on adult sockeye salmon (Oncorhynchus nerka) behavior in the Yakima River, Washington, 2019: U.S. Geological Survey Open-File Report 2020-1033, 15 p., https://doi.org/10.3133/ofr20201033.","productDescription":"iv, 15 p.","onlineOnly":"Y","ipdsId":"IP-115963","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":373693,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1033/ofr20201033.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1033"},{"id":373692,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1033/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.59417724609375,\n              46.96338498544958\n            ],\n            [\n              -120.5804443359375,\n              46.916503267244835\n            ],\n            [\n              -120.52001953124999,\n              46.837649560937464\n            ],\n      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98115-5016</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-03-31","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":785738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Scott D. 0000-0003-0452-7726 sdevans@usgs.gov","orcid":"https://orcid.org/0000-0003-0452-7726","contributorId":4408,"corporation":false,"usgs":true,"family":"Evans","given":"Scott","email":"sdevans@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":785739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":785740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ekstrom, Brian K. 0000-0002-1162-1780 bekstrom@usgs.gov","orcid":"https://orcid.org/0000-0002-1162-1780","contributorId":3704,"corporation":false,"usgs":true,"family":"Ekstrom","given":"Brian","email":"bekstrom@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":785741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Visser, Richard","contributorId":223646,"corporation":false,"usgs":false,"family":"Visser","given":"Richard","email":"","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":785742,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saluskin, Brian","contributorId":223647,"corporation":false,"usgs":false,"family":"Saluskin","given":"Brian","affiliations":[{"id":39287,"text":"Yakama Nation Fisheries","active":true,"usgs":false}],"preferred":false,"id":785743,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoffarth, Paul","contributorId":177927,"corporation":false,"usgs":false,"family":"Hoffarth","given":"Paul","email":"","affiliations":[],"preferred":false,"id":785744,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208688,"text":"sir20205014 - 2020 - Evaluation of restoration alternatives using hydraulic models of lake outflow at Wapato Lake National Wildlife Refuge, northwestern Oregon","interactions":[],"lastModifiedDate":"2022-04-25T21:50:39.278546","indexId":"sir20205014","displayToPublicDate":"2020-03-31T13:04:51","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5014","displayTitle":"Evaluation of Restoration Alternatives Using Hydraulic Models of Lake Outflow at Wapato Lake National Wildlife Refuge, Northwestern Oregon","title":"Evaluation of restoration alternatives using hydraulic models of lake outflow at Wapato Lake National Wildlife Refuge, northwestern Oregon","docAbstract":"Wapato Lake National Wildlife Refuge near the city of Gaston in northwestern Oregon was established in 2013, and planning is underway to restore a more natural lake and wetland system after more than 100 years of agricultural activity on the lakebed. Several water-management and restoration alternatives are under consideration, one of which involves opening and reconnecting Wapato Lake’s outlet to allow flow in and out of the lake to Wapato Creek and downstream to the Tualatin River. The effects of this and other alternatives are being evaluated, partly through a detailed examination of the lake’s water budget. The water budget for the lake during 2011–13 was quantified by the U.S. Geological Survey in partnership with U.S. Fish and Wildlife Service and others. Results were incorporated in a spreadsheet-based Water Management Scenario Tool (WMST) for Wapato Lake, which predicts the effects of various management actions on daily lake level and potential habitat areas for waterfowl or other target species. Incorporating the effects of a hypothetical open outlet between the lake and the downstream river network in the WMST was accomplished by using a hydraulic model to simulate the flow-exchange rate between Wapato Lake and Wapato Creek over a wide range of lake levels and downstream river conditions. A Hydraulic Engineering Center-River Analysis System (HEC-RAS) one-dimensional unsteady flow model was constructed and calibrated for Wapato Creek and part of the Tualatin River using data from October 2011 to April 2013, and then was used to simulate daily lake/creek exchange flows in water years 1992–2014 under hypothetically constant lake levels. Results were used to populate a table of lake/creek flow-exchange rates for use in the WMST; a dynamic link between the WMST and HEC-RAS was unrealistic because it would require hundreds of calls to HEC-RAS and result in long run times for a single water-year’s WMST calculations with daily time steps. Predictions of daily outlet flows from the WMST were checked against HEC-RAS simulated flows under daily varying lake levels to ensure that the timing and magnitude of lake/creek exchange flows used by the WMST were consistent with those of the hydraulic model. Two scenarios were tested with a hypothetical open lake outlet to show how the WMST could be used to inform restoration planning—one scenario used a year-round open lake outlet, and the other scenario closed that outlet for part of the high-water winter season. Results showed that flows in and out of a year-round open lake outlet would dominate the lake’s water budget and produce water depths during winter and through mid-summer that might be too deep to support waterbird species that require shallow water. Closing the lake outlet during large winter storms and high-water conditions in the downstream river network would isolate the lake from surrounding rivers, keep the lake level lower, and retain substantially more shallow-water areas. Because of the ease with which management alternatives can be evaluated, a water-budget spreadsheet tool such as the WMST has been a valuable part of an analysis of potential water-management and restoration alternatives for Wapato Lake National Wildlife Refuge.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205014","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and the Joint Water Commission","usgsCitation":"Rounds, S.A., Pilson, S.L., Sullivan, A.B., and Stonewall, A.J., 2020, Evaluation of restoration alternatives using hydraulic models of lake outflow at Wapato Lake National Wildlife Refuge, northwestern Oregon: U.S. Geological Survey Scientific Investigations Report 2020–5014, 21 p., https://doi.org/10.3133/sir20205014.","productDescription":"vi, 21 p.","onlineOnly":"Y","ipdsId":"IP-110980","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":373663,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5014/sir20205014.pdf","text":"Report","size":"3.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5014"},{"id":399635,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109891.htm"},{"id":373662,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5014/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Wapato Lake 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              -123.1417,\n              45.4\n            ],\n            [\n              -123.1083,\n              45.4\n            ],\n            [\n              -123.1083,\n              45.4431\n            ],\n            [\n              -123.1417,\n              45.4431\n            ],\n            [\n              -123.1417,\n              45.4\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/or-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/or-water\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Model Results and Evaluation of Water-Management Scenarios</li><li>Implications for Restoration and Water Management</li><li>Supplementary Material</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-03-31","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilson, Stephen L.","contributorId":222712,"corporation":false,"usgs":false,"family":"Pilson","given":"Stephen","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":783001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Annett B. 0000-0001-7783-3906 annett@usgs.gov","orcid":"https://orcid.org/0000-0001-7783-3906","contributorId":79821,"corporation":false,"usgs":true,"family":"Sullivan","given":"Annett B.","email":"annett@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":783002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stonewall, Adam J. 0000-0002-3277-8736 stonewal@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-8736","contributorId":138801,"corporation":false,"usgs":true,"family":"Stonewall","given":"Adam","email":"stonewal@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":783003,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208698,"text":"sir20205013 - 2020 - Evaluation of restoration alternatives using water-budget tools for the Wapato Lake National Wildlife Refuge, northwestern Oregon","interactions":[],"lastModifiedDate":"2022-04-25T21:48:59.588234","indexId":"sir20205013","displayToPublicDate":"2020-03-31T13:04:10","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5013","displayTitle":"Evaluation of Restoration Alternatives Using Water-Budget Tools for the Wapato Lake National Wildlife Refuge, Northwestern Oregon","title":"Evaluation of restoration alternatives using water-budget tools for the Wapato Lake National Wildlife Refuge, northwestern Oregon","docAbstract":"<p class=\"p1\">The lakebed in Wapato Lake National Wildlife Refuge (NWR) in northwestern Oregon was farmed for decades prior to the establishment of the refuge in 2013. Planning for restoration of these lands required extensive data collection and construction of a water budget and tools to design and evaluate potential restoration strategies. The U.S. Geological Survey (USGS) and U.S. Fish and Wildlife Service worked together to monitor streamflow and water levels in and around Wapato Lake NWR, apply the USGS Shoreline Management Tool (SMT), then construct and apply a water-budget-based Water Management Scenario Tool (WMST). The SMT was used to determine the spatial availability of different water depths (as potential habitat for different species) as a function of water level and other factors, based on topographic data. The WMST uses a water-budget approach to predict daily water levels, inflows, outflows, and areas of specific categories of water depth in the refuge over the course of a water year in response to a range of hydrologic and meteorological conditions and potential water-management strategies. In this study, two hypothetical water-management strategies were simulated to predict their effect on water levels and areas with specific water depths as an indicator of potential habitat. In the first scenario, several tributaries that had been diverted around the lakebed since the 1930s were reconnected to the lake, and an outflow weir was used to control lake level and to create a lake and seasonal wetlands of specific depths. In the second scenario, an outflow weir was combined with pumps to help meet target lake levels. Results showed that reconnecting the largest three tributaries to Wapato Lake would provide sufficient water to create a range of aquatic conditions in most years. For a median water year, rainfall and tributary flows in these scenarios provided 99 percent of total inputs to the lake, whereas pumping, weir outflows, and open-water evaporation&nbsp;</p><p class=\"p1\">accounted for 95–97 percent of losses. Management of lake levels could be accomplished with a variable-elevation outflow weir or a combination of a weir and pumps. The lake would take longer to fill to a higher seasonal target level during a dry year. Without an outflow weir or other means of allowing water to flow out of the lake, the largest of two existing pumps would need to be used during late spring or early summer to attain a lower seasonal target water level in summer. High-water conditions downstream of Wapato Lake may prevent the use of a simple outflow weir, as historical downstream water levels in winter and spring sometimes were higher than the target water levels used in these scenarios. Water-budget-based methods applied in this study have proven to be valuable for the design and evaluation of potential restoration strategies at Wapato Lake NWR.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205013","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and the Joint Water Commission","usgsCitation":"Rounds, S.A., Freed, T.Z., Snyder, D.T., Smith, C.D., Doyle, M.C., Holmes, E., Mykut, C., Mayer, T., Stockenberg, E., and Pilson, S.L., 2020, Evaluation of restoration alternatives using water-budget tools for the Wapato Lake National Wildlife Refuge, northwestern Oregon: U.S. Geological Survey Scientific Investigations Report 2020–5013, 26 p., https://doi.org/10.3133/sir20205013.","productDescription":"vi, 26 p.","onlineOnly":"Y","ipdsId":"IP-110975","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":373658,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5013/coverthb.jpg"},{"id":373659,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5013/sir20205013.pdf","text":"Report","size":"2.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5013"},{"id":399634,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109890.htm"}],"country":"United States","otherGeospatial":"Wapato Lake 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              -123.1417,\n              45.4\n            ],\n            [\n              -123.1083,\n              45.4\n            ],\n            [\n              -123.1083,\n              45.4431\n            ],\n            [\n              -123.1417,\n              45.4431\n            ],\n            [\n              -123.1417,\n              45.4\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/or-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/or-water\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results—Water Budget and Water Management Scenarios</li><li>Implications for Restoration and Water Management</li><li>Supplementary Material</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-03-31","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freed, T. Zach","contributorId":222737,"corporation":false,"usgs":false,"family":"Freed","given":"T.","email":"","middleInitial":"Zach","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":783062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snyder, Daniel T.","contributorId":222736,"corporation":false,"usgs":false,"family":"Snyder","given":"Daniel T.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":783061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Cassandra D. 0000-0003-1088-1772 cassandrasmith@usgs.gov","orcid":"https://orcid.org/0000-0003-1088-1772","contributorId":205220,"corporation":false,"usgs":true,"family":"Smith","given":"Cassandra","email":"cassandrasmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":786052,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doyle, Micelis C. 0000-0003-0968-7809 mcdoyle@usgs.gov","orcid":"https://orcid.org/0000-0003-0968-7809","contributorId":3446,"corporation":false,"usgs":true,"family":"Doyle","given":"Micelis","email":"mcdoyle@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786053,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holmes, Erin","contributorId":222739,"corporation":false,"usgs":false,"family":"Holmes","given":"Erin","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":786054,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mykut, Curt","contributorId":222740,"corporation":false,"usgs":false,"family":"Mykut","given":"Curt","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":786055,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mayer, Tim","contributorId":174705,"corporation":false,"usgs":false,"family":"Mayer","given":"Tim","email":"","affiliations":[{"id":27503,"text":"Supervisory Hydrologist, Water Resources Branch, U.S. Fish and Wildlife Service, 911 NE 11th Ave., Portland, OR  97232-4181","active":true,"usgs":false}],"preferred":false,"id":786056,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stockenberg, Erin","contributorId":222741,"corporation":false,"usgs":false,"family":"Stockenberg","given":"Erin","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":786057,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pilson, Stephen L.","contributorId":222712,"corporation":false,"usgs":false,"family":"Pilson","given":"Stephen","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":786058,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70209334,"text":"70209334 - 2020 - Coming to terms with the new normal: Forest health in the Sierra Nevada","interactions":[],"lastModifiedDate":"2020-10-12T17:52:49.972546","indexId":"70209334","displayToPublicDate":"2020-03-31T12:52:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1693,"text":"Fremontia","active":true,"publicationSubtype":{"id":10}},"title":"Coming to terms with the new normal: Forest health in the Sierra Nevada","docAbstract":"The vast conifer forests of California’s Sierra Nevada range inspire awe and create lasting memories. The size and longevity of these trees make them seem both otherworldly and everlasting. Indeed, their grandeur is such that visitors may not appreciate how these forests are connected to the larger landscape, and so there is little understanding that something as common as a drought could lead to the death of so many trees and trigger massive and irreversible changes in the nature of these forests (Box 1: Reflections on the California Drought). Although tree death is a natural and essential process, human activity is increasing the mortality rate to such an extent that it threatens the persistence of the \"big tree\" forests we have come to associate with the Sierra Nevada. Here, we briefly explain how forests change, with a focus on the role of tree mortality. We then describe the contemporary risks and outline a way toward restoring the resilience of Sierran forests.","language":"English","publisher":"California Native Plant Society","usgsCitation":"Axelson, J., Battles, J.J., Das, A., and van Mantgem, P., 2020, Coming to terms with the new normal: Forest health in the Sierra Nevada: Fremontia, v. 47, no. 2, p. 50-56.","productDescription":"7 p.","startPage":"50","endPage":"56","ipdsId":"IP-102670","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":379313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379312,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cnps.org/publications/fremontia"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.69653320312499,\n              35.62158189955968\n            ],\n            [\n              -118.36669921875,\n              37.26530995561875\n            ],\n            [\n              -120.13549804687501,\n              39.07890809706475\n            ],\n            [\n              -120.498046875,\n              40.60561205826018\n            ],\n            [\n              -121.31103515625,\n              40.84706035607122\n            ],\n            [\n              -121.904296875,\n              40.463666324587685\n            ],\n            [\n              -121.5087890625,\n              39.095962936305476\n            ],\n            [\n              -120.02563476562501,\n              37.47485808497102\n            ],\n            [\n              -118.58642578124999,\n              35.89795019335754\n            ],\n            [\n              -118.114013671875,\n              35.55010533588552\n            ],\n            [\n              -117.69653320312499,\n              35.62158189955968\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Axelson, Jodi","contributorId":223736,"corporation":false,"usgs":false,"family":"Axelson","given":"Jodi","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":786144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battles, John J.","contributorId":102006,"corporation":false,"usgs":false,"family":"Battles","given":"John","email":"","middleInitial":"J.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":786145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":786143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":786142,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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