{"pageNumber":"594","pageRowStart":"14825","pageSize":"25","recordCount":184858,"records":[{"id":70227870,"text":"70227870 - 2020 - Resource use by American black bear in suburbia: A landholder step selection approach","interactions":[],"lastModifiedDate":"2022-02-02T14:27:20.988062","indexId":"70227870","displayToPublicDate":"2020-09-01T16:29:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1914,"text":"Human-Wildlife Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Resource use by American black bear in suburbia: A landholder step selection approach","docAbstract":"<p>Range expansion of American black bear (<i>Ursus americanus</i>; bear) and residential development has resulted in a growing presence of bear in suburbia. Suburban landscapes exhibiting patchworks of variable-sized parcels and habitats and owned by landowners with diverse values, can create large areas of suitable habitats with limited public access. These landscapes thereby may limit the effectiveness of hunting as a traditional bear population management tool. Managers require better information regarding suburban landowner attitudes regarding hunting before implementing changes intended to increase bear harvest to management populations. To address this need, in 2013, we surveyed landowners to identify properties that allowed bear hunting in three suburban areas of Pennsylvania where bear sightings have increased. We then used location data obtained for 29 bears equipped with global positioning system (GPS) transmitters from 2010 to 2012 to model their resource selection in the study area. We assessed the influence of hunting access, housing density, land cover, and topographic variables on radio-marked black bear monitored 10 days before, during, and after the bear hunting season. We found that resource selection of radio-marked bear was similar for all three periods and bears selected for forested land in all three seasons and herbaceous cover in the pre- and hunting periods. Resource selection by bears was not influenced by whether land was open or closed to hunting in the pre-hunting and hunting periods, but in the post-hunting period lands not open to hunting had support as the second-best model. All radio-marked bears in our study were vulnerable to harvest. However, they did not change resource selection during the hunting season nor did they avoid areas open to hunting. Integrating human dimension data with bear habitat use studies, especially in suburban landscapes, has the potential to address bear space use and population management needs often overlooked in traditional research designs.</p>","language":"English","doi":"10.26077/2af3-235d","usgsCitation":"Ahrestani, F.S., Ternent, M.A., Lovallo, M.J., and Walter, W., 2020, Resource use by American black bear in suburbia: A landholder step selection approach: Human-Wildlife Interactions, v. 14, no. 2, p. 216-227, https://doi.org/10.26077/2af3-235d.","productDescription":"12 p.","startPage":"216","endPage":"227","ipdsId":"IP-093537","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.5025634765625,\n              39.926588421909436\n            ],\n            [\n              -75.421142578125,\n              39.926588421909436\n            ],\n            [\n              -75.421142578125,\n              41.599013054830216\n            ],\n            [\n              -79.5025634765625,\n              41.599013054830216\n            ],\n            [\n              -79.5025634765625,\n              39.926588421909436\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ahrestani, Farshid S.","contributorId":208349,"corporation":false,"usgs":false,"family":"Ahrestani","given":"Farshid","email":"","middleInitial":"S.","affiliations":[{"id":37785,"text":"The Institute of Bird Populations","active":true,"usgs":false}],"preferred":false,"id":832537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ternent, Mark A.","contributorId":150194,"corporation":false,"usgs":false,"family":"Ternent","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":832538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovallo, Matthew J.","contributorId":200329,"corporation":false,"usgs":false,"family":"Lovallo","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832446,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70212558,"text":"tm7C25 - 2020 - Social Values for Ecosystem Services, version 4.0 (SolVES 4.0)—Documentation and user manual","interactions":[],"lastModifiedDate":"2020-09-01T23:35:48.070506","indexId":"tm7C25","displayToPublicDate":"2020-09-01T15:25:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C25","displayTitle":"Social Values for Ecosystem Services, Version 4.0  (SolVES 4.0)—Documentation and User Manual","title":"Social Values for Ecosystem Services, version 4.0 (SolVES 4.0)—Documentation and user manual","docAbstract":"<p>The geographic information system tool, Social Values for Ecosystem Services (SolVES), was developed to incorporate quantified and spatially explicit measures of social values into ecosystem service assessments. SolVES 4.0 provides an open-source version of SolVES, which was designed to assess, map, and quantify the social values of ecosystem services. Social values—the perceived, nonmarket values the public ascribes to ecosystem services, particularly cultural services, such as aesthetics and recreation—can be evaluated for various stakeholder groups. These groups are distinguishable by factors such as their attitudes and preferences regarding public uses (for example, motorized recreation and logging). As with previous versions, SolVES 4.0 derives a quantitative 10-point, social-values metric—the value index—from a combination of spatial and nonspatial responses to public value and preference surveys. The tool also calculates metrics characterizing the underlying environment, such as average distance to water and dominant landcover. SolVES 4.0 has been developed with Python using a QGIS user interface and a PostgreSQL database for required data. SolVES is integrated with Maxent maximum entropy modeling software to generate more complete social-value maps and offer robust statistical models describing the relation between the value index and explanatory environmental variables. A model’s goodness of fit to a primary study area and its potential performance in transferring social values to similar areas using value-transfer methods can be evaluated. SolVES 4.0 provides an improved open-source, public-domain tool for decision makers and researchers to evaluate the social values of ecosystem services and to facilitate discussions among diverse stakeholders regarding the tradeoffs among ecosystem services in a variety of biophysical and social contexts including mountain, forest, coastal, riparian, agricultural, and urban environments around the globe.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C25","usgsCitation":"Sherrouse, B.C., and Semmens, D.J., 2020, Social Values for Ecosystem Services, version 4.0 (SolVES 4.0)—Documentation and user manual: U.S. Geological Survey Techniques and Methods, book 7, chap. C25, 59 p., https://doi.org/ 10.3133/ tm7C25.","productDescription":"Report: ix, 59 p.; Application Site","onlineOnly":"Y","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":436802,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9URDZ4V","text":"USGS data release","linkHelpText":"SolVES"},{"id":377693,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/07/c25/coverthb.jpg"},{"id":377694,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/c25/tm7C25.pdf","text":"Report","size":"13.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"T and M 7 C-25"},{"id":377695,"rank":3,"type":{"id":4,"text":"Application Site"},"url":"https://doi.org/10.5066/P9URDZ4V","text":"Social Values for Ecosystem Services (SolVES) 4.0"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/gecsc/\" data-mce-href=\"https://www.usgs.gov/centers/gecsc/\"> Geosciences and Environmental Change Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 980<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Navigating the User Manual</li><li>Installation</li><li>Project Setup</li><li>Analyze Survey Data</li><li>Calculation and Interpretation of the Value Index</li><li>Transfer Values</li><li>View Results</li><li>Interpreting and Adjusting Maxent’s Area Under the Curve Values and Variable Contributions</li><li>Digitizing Points Mapped by Survey Respondents</li><li>Advanced Options</li><li>Troubleshooting Common Errors</li><li>References Cited</li><li>Appendix 1. Social Values for Ecosystem Services, Version 4.0, Data Requirements, Structure, and Management</li><li>Appendix 2. Preparing and Loading User-Supplied Data to the “solves” Database</li><li>Appendix 3. Social Values for Ecosystem Services, Version 4.0, Data Dictionary</li></ul>","publishedDate":"2020-09-01","noUsgsAuthors":false,"publicationDate":"2020-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Sherrouse, Benson C. 0000-0002-5102-5895 bcsherrouse@usgs.gov","orcid":"https://orcid.org/0000-0002-5102-5895","contributorId":2445,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"bcsherrouse@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":796865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":796864,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211254,"text":"70211254 - 2020 - Wave-resolving Shoreline Boundary Conditions for Wave-Averaged Coastal Models","interactions":[],"lastModifiedDate":"2020-08-04T14:27:20.8489","indexId":"70211254","displayToPublicDate":"2020-09-01T14:54:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5979,"text":"Ocean Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Wave-resolving Shoreline Boundary Conditions for Wave-Averaged Coastal Models","docAbstract":"Downscaling broadscale ocean model information to resolve the fine-scale swash-zone dynamics has a number of applications, such as improved resolution of coastal flood hazard drivers, modeling of sediment transport and seabed morphological evolution. A new method is presented, which enables wave-averaged models for the nearshore circulation to include short-wave induced swash zone dynamics that evolve at the wave group scale (i.e. averaged over the short waves). Such dynamics, which cannot be described, by construction through wave-averaged models, play a fundamental role in nearshore hydrodynamics and morphodynamics. The method is based on the implementation of a set of Shoreline Boundary Conditions (SBCs) in wave-averaged models. The chosen set of SBCs allows for proper computation of the short-wave properties at a mean shoreline () taken as the envelope of the actual shoreline. The suitability of the approach is assessed through implementation of the SBCs into the Regional Ocean Modeling System (ROMS) coupled to a spectral wave model (InWave for IG waves and SWAN for wind waves). As the aim is to assess the viability of the approach, the SBCs are implemented only through a one-way coupling to ROMS (i.e. ROMS forcing the SBCs). Four different test cases – with constant, periodic and bichromatic offshore forcing – are run to assess the model performances. The main results of the analysis are: (a) the proposed SBCs can well reproduce the shoreline motion and swash zone dynamics in there for all chosen tests (RMSE and BIAS less than 20 % up to a cross-shore resolution of 4.0 m ( or )) and (b) implementation of the SBCs allows ROMS to accurately simulate the swash zone flows even at a resolution 40 times coarser than that needed by ROMS with its own wet–dry routine to properly describe the same flows. The latter result clearly demonstrates the major computational advantage of using the proposed SBCs. We also show that most of the swash zone dynamics is due to the mean flow (i.e. incoming Riemann variable) and the local (at ) wave height. However, especially in the case of bichromatic waves, the swash zone water volume content also seems to play a crucial role.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocemod.2020.101661","usgsCitation":"Memmola, F., Coluccelli, A., Russo, A., Warner, J., and Brocchini, M., 2020, Wave-resolving Shoreline Boundary Conditions for Wave-Averaged Coastal Models: Ocean Modeling, v. 153, 101661, 18 p., https://doi.org/10.1016/j.ocemod.2020.101661.","productDescription":"101661, 18 p.","ipdsId":"IP-107642","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":376590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":376554,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1016/j.ocemod.2020.101661"}],"volume":"153","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Memmola, Francesco","contributorId":229516,"corporation":false,"usgs":false,"family":"Memmola","given":"Francesco","email":"","affiliations":[{"id":41663,"text":"Universita Politecnica delle Marche, Department of Life and Environmental Sciences, Ancona 60131, Italy","active":true,"usgs":false}],"preferred":false,"id":793429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coluccelli, Alessandro","contributorId":229517,"corporation":false,"usgs":false,"family":"Coluccelli","given":"Alessandro","email":"","affiliations":[{"id":41663,"text":"Universita Politecnica delle Marche, Department of Life and Environmental Sciences, Ancona 60131, Italy","active":true,"usgs":false}],"preferred":false,"id":793430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russo, Aniello","contributorId":229518,"corporation":false,"usgs":false,"family":"Russo","given":"Aniello","affiliations":[{"id":41664,"text":"entre for Maritime Research & Experimentation, La Spezia 19126, Italy","active":true,"usgs":false}],"preferred":false,"id":793431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":793432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brocchini, Maurizio","contributorId":229519,"corporation":false,"usgs":false,"family":"Brocchini","given":"Maurizio","email":"","affiliations":[{"id":41665,"text":"Universita Politecnica delle Marche, Department of Civil and Building Engineering and Architecture, Ancona 60131, Italy","active":true,"usgs":false}],"preferred":false,"id":793433,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70214624,"text":"70214624 - 2020 - Disease in Central Valley salmon: Status and lessons from other systems","interactions":[],"lastModifiedDate":"2020-10-05T11:56:55.853918","indexId":"70214624","displayToPublicDate":"2020-09-01T12:56:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Disease in Central Valley salmon: Status and lessons from other systems","docAbstract":"<div id=\"main\"><div data-reactroot=\"\"><div class=\"body\"><div><div class=\"c-columns--sticky-sidebar\"><div class=\"c-tabs\"><div class=\"c-tabs__content\"><div class=\"c-tabcontent\"><div id=\"details-content\"><div class=\"c-clientmarkup\"><p>Chinook Salmon (<i>Oncorhynchus tshawytscha</i>) are increasingly vulnerable to anthropogenic activities and climate change, especially at their most southern species range in California’s Central Valley. There is considerable interest in understanding stressors that contribute to population decline and in identifying management actions that reduce the impacts of those stressors. Along the west coast of North America, disease has been linked to declining numbers of salmonids and identified as a key stressor resulting in mortality. In the Central Valley, targeted studies have revealed extremely high prevalence of infectious agents and disease. However, there has been insufficient monitoring to understand the effect that disease may have on salmon populations. In order to inform future research, monitoring, and management efforts, a two-day workshop on salmon disease was held at UC Davis on March 14-15, 2018. This paper summarizes the science presented at this workshop, including the current state of knowledge of salmonid disease in the Central Valley and current and emerging tools to better understand its impacts on salmon. We highlight case studies from other systems where successful monitoring programs have been implemented. First, in the Klamath River where the integration of several data collection and modeling approaches led to the development of successful management actions, and second in British Columbia where investment in researching novel technologies led to breakthroughs in the understanding of salmon disease dynamics. Finally, we identify key information and knowledge gaps necessary to guide research and management of disease in Central Valley salmon populations.</p></div></div></div></div></div></div></div></div></div></div>","language":"English","publisher":"University of California Davis","doi":"10.15447//sfews.2020v18iss3art2","usgsCitation":"Lehman, B.M., Johnson, R.C., Adkison, M., Burgess, O.T., Connon, R., Fangue, N.A., Foott, S.J., Hallett, S.L., Martinez-Lopez, B., Miller, K.M., Purcell, M.K., Som, N.A., Valdes-Donoso, P., and Collins, A.L., 2020, Disease in Central Valley salmon: Status and lessons from other systems: San Francisco Estuary and Watershed Science, v. 18, no. 3, 2, 31 p., https://doi.org/10.15447//sfews.2020v18iss3art2.","productDescription":"2, 31 p.","ipdsId":"IP-118901","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":455440,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447//sfews.2020v18iss3art2","text":"Publisher Index Page"},{"id":378967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.2119140625,\n              40.713955826286046\n            ],\n            [\n              -122.6953125,\n              40.58058466412761\n            ],\n            [\n              -122.6953125,\n              40.04443758460856\n            ],\n            [\n              -122.67333984374999,\n              39.436192999314095\n            ],\n            [\n              -122.27783203125,\n              38.634036452919226\n          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M","contributorId":241981,"corporation":false,"usgs":false,"family":"Lehman","given":"Brendan","email":"","middleInitial":"M","affiliations":[{"id":48462,"text":"University of California, Santa Cruz, Physical and Biological Sciences, 110 McAllister Way, Santa Cruz, California 95060 USA","active":true,"usgs":false}],"preferred":false,"id":800272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Rachel C.","contributorId":196877,"corporation":false,"usgs":false,"family":"Johnson","given":"Rachel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":800273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adkison, Mark","contributorId":241982,"corporation":false,"usgs":false,"family":"Adkison","given":"Mark","email":"","affiliations":[{"id":48463,"text":"Fish Health Laboratory, California Department of Fish and Game, 2111 Nimbus Road, Rancho Cordova, California 95670, USA","active":true,"usgs":false}],"preferred":false,"id":800274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burgess, Oliver T","contributorId":241983,"corporation":false,"usgs":false,"family":"Burgess","given":"Oliver","email":"","middleInitial":"T","affiliations":[{"id":48464,"text":"U.S. Bureau of Reclamation, Bay-Delta Office, 801 I Street, Suite 140, Sacramento, California 95814, USA","active":true,"usgs":false}],"preferred":false,"id":800275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connon, Richard E","contributorId":152478,"corporation":false,"usgs":false,"family":"Connon","given":"Richard E","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":800276,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fangue, Nann A.","contributorId":152479,"corporation":false,"usgs":false,"family":"Fangue","given":"Nann","email":"","middleInitial":"A.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":800277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foott, Scott J","contributorId":241984,"corporation":false,"usgs":false,"family":"Foott","given":"Scott","email":"","middleInitial":"J","affiliations":[{"id":48465,"text":"United States Fish and Wildlife Service California-Nevada Fish Health Center, 24411 Coleman Hatchery Road, Anderson, California 96007, USA","active":true,"usgs":false}],"preferred":false,"id":800278,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hallett, Sascha L","contributorId":241985,"corporation":false,"usgs":false,"family":"Hallett","given":"Sascha","email":"","middleInitial":"L","affiliations":[{"id":48466,"text":"Department of Microbiology, 226 Nash Hall, Oregon State University, Corvallis, Oregon 97331-3804, USA","active":true,"usgs":false}],"preferred":false,"id":800279,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Martinez-Lopez, Beatriz","contributorId":241986,"corporation":false,"usgs":false,"family":"Martinez-Lopez","given":"Beatriz","email":"","affiliations":[{"id":48468,"text":"University of California Agricultural Issues Center, Davis, Shields Ave, Davis, California 95616, USA","active":true,"usgs":false}],"preferred":false,"id":800280,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, Kristina M.","contributorId":169133,"corporation":false,"usgs":false,"family":"Miller","given":"Kristina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":800281,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Purcell, Maureen K. 0000-0003-0154-8433 mpurcell@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8433","contributorId":168475,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen","email":"mpurcell@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":800282,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":800283,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Valdes-Donoso, Pablo","contributorId":241987,"corporation":false,"usgs":false,"family":"Valdes-Donoso","given":"Pablo","email":"","affiliations":[{"id":48468,"text":"University of California Agricultural Issues Center, Davis, Shields Ave, Davis, California 95616, USA","active":true,"usgs":false}],"preferred":false,"id":800284,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Collins, Alison L","contributorId":241988,"corporation":false,"usgs":false,"family":"Collins","given":"Alison","email":"","middleInitial":"L","affiliations":[{"id":48470,"text":"The Metropolitan Water District of Southern California, 1121 L St. #900, Sacramento, California 95814, USA","active":true,"usgs":false}],"preferred":false,"id":800285,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70216648,"text":"70216648 - 2020 - Hemidactylus cf. platyurus (Asian flat-tailed house gecko)","interactions":[],"lastModifiedDate":"2021-01-28T18:31:36.66789","indexId":"70216648","displayToPublicDate":"2020-09-01T12:29:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7437,"text":"Herptelogical Review","active":true,"publicationSubtype":{"id":10}},"title":"Hemidactylus cf. platyurus (Asian flat-tailed house gecko)","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Kabat, K.L., Young, D.V., Van Ee, N.B., Xiong, P., Bradke, D., Nafus, M.G., and Hileman, E.T., 2020, Hemidactylus cf. platyurus (Asian flat-tailed house gecko): Herptelogical Review, v. 51, no. 3.","productDescription":"1 p.","startPage":"540","ipdsId":"IP-114518","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":382767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":382766,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kabat, K. L.","contributorId":245250,"corporation":false,"usgs":false,"family":"Kabat","given":"K.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":805704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, D. V.","contributorId":245251,"corporation":false,"usgs":false,"family":"Young","given":"D.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":805705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Ee, N. B.","contributorId":245254,"corporation":false,"usgs":false,"family":"Van Ee","given":"N.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":805706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xiong, P. X.","contributorId":245255,"corporation":false,"usgs":false,"family":"Xiong","given":"P. X.","affiliations":[],"preferred":false,"id":805707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradke, D. R.","contributorId":245258,"corporation":false,"usgs":false,"family":"Bradke","given":"D. R.","affiliations":[],"preferred":false,"id":805708,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":805712,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hileman, Eric Thomas 0000-0002-7044-370X","orcid":"https://orcid.org/0000-0002-7044-370X","contributorId":224633,"corporation":false,"usgs":true,"family":"Hileman","given":"Eric","email":"","middleInitial":"Thomas","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":805709,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70213302,"text":"70213302 - 2020 - Canine distemper virus in the sea otter population (Enhydra lutris) in Washington State, USA","interactions":[],"lastModifiedDate":"2020-10-12T17:30:01.11923","indexId":"70213302","displayToPublicDate":"2020-09-01T12:04:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Canine distemper virus in the sea otter population (<i>Enhydra lutris</i>) in Washington State, USA","title":"Canine distemper virus in the sea otter population (Enhydra lutris) in Washington State, USA","docAbstract":"<p><span>Before 2001, all serosurveys for morbilliviruses in sea otters (</span><i>Enhydra lutris</i><span>) in California, Washington, and Alaska, USA, documented a 0% seroprevalence. The first published serologic detections of morbillivirus in sea otters occurred in 2001–02 in live-captured Washington sea otters, with a documented 80% seroprevalence. We conducted a retrospective study of sea otter cases from 1989 to 2010 compiled at the US Geological Survey, National Wildlife Health Center to identify cases of morbilliviral disease in Washington sea otters and to characterize the disease using immunohistochemistry, reverse transcription (RT)-PCR, genetic sequencing, virus isolation, and serology. We identified six cases of morbilliviral disease and 12 cases of morbilliviral infection in this population of sea otters during 2000–10. Significant histologic findings included inflammation in the white and gray matter of the brain characterized by lymphoplasmacytic perivascular cuffing, neuronal necrosis, and satellitosis in gray matter and by spongiosis, myelin degeneration, spheroids, and gemistocytes in white matter. Intranuclear and intracytoplasmic viral inclusion bodies were found in neurons, Purkinje cells, and glia. Immunohistochemistry for canine distemper virus (CDV) showed positive staining in neurons, glial cells, and cell processes. A pan-morbillivirus RT-PCR with subsequent restriction endonuclease digestion or sequencing identified CDV. Virus isolation was not successful. Two sea otters with morbilliviral encephalitis showed greater antibody titers to CDV than phocine distemper virus. Histologic changes were confined to the central nervous system and resembled neurologic canine distemper in domestic dogs. Cases of sea otters with morbilliviral infection without histologic changes could represent early infections or incompletely cleared sublethal infections. We found that morbillivirus was present in the Washington sea otter population as early as 2000, and we provide a description of the pathology of canine distemper in sea otters.</span></p>","language":"English","publisher":"Wildlife Diseases Association","doi":"10.7589/JWD-D-19-00008","usgsCitation":"Thomas, N., White, C.L., Saliki, J., Schuler, K.L., Lynch, D., Nielsen, O., Dubey, J., and Knowles, S., 2020, Canine distemper virus in the sea otter population (Enhydra lutris) in Washington State, USA: Journal of Wildlife Diseases, v. 56, no. 4, p. 873-883, https://doi.org/10.7589/JWD-D-19-00008.","productDescription":"11 p.","startPage":"873","endPage":"883","ipdsId":"IP-113646","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":436804,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90J7S7T","text":"USGS data release","linkHelpText":"Necropsy reference number and summary collection information for Washington state population of northern sea otters examined during 1989-2010"},{"id":378518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.54150390625,\n              47.00273390667881\n            ],\n            [\n              -121.915283203125,\n              47.635783590864854\n            ],\n            [\n              -122.48657226562499,\n              48.980216985374994\n            ],\n            [\n              -123.211669921875,\n              49.009050809382046\n            ],\n            [\n              -123.26660156249999,\n              48.356249029540734\n            ],\n            [\n              -123.53027343749999,\n              48.22467264956519\n            ],\n            [\n              -124.82666015624999,\n              48.516604348867475\n            ],\n            [\n              -124.46411132812499,\n              46.475699386607516\n            ],\n            [\n              -124.08233642578125,\n              46.249199583637726\n            ],\n            [\n              -123.6016845703125,\n              46.24540080200012\n            ],\n            [\n              -123.40530395507811,\n              46.2150010780199\n            ],\n            [\n              -123.31192016601561,\n              46.144637225509136\n            ],\n            [\n              -123.12515258789061,\n              46.186486044787195\n            ],\n            [\n              -122.54150390625,\n              47.00273390667881\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Nancy","contributorId":240813,"corporation":false,"usgs":false,"family":"Thomas","given":"Nancy","affiliations":[],"preferred":false,"id":798981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":798982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saliki, Jeremiah","contributorId":240814,"corporation":false,"usgs":false,"family":"Saliki","given":"Jeremiah","affiliations":[],"preferred":false,"id":798983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schuler, Krysten L.","contributorId":210886,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten","email":"","middleInitial":"L.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":798984,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynch, Deanna","contributorId":202253,"corporation":false,"usgs":false,"family":"Lynch","given":"Deanna","email":"","affiliations":[],"preferred":false,"id":798985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nielsen, Ole","contributorId":240817,"corporation":false,"usgs":false,"family":"Nielsen","given":"Ole","email":"","affiliations":[],"preferred":false,"id":798986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dubey, J.P.","contributorId":240820,"corporation":false,"usgs":false,"family":"Dubey","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":798987,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":798980,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70216650,"text":"70216650 - 2020 - Hemidactylus tenkatei (Spotted house gecko)","interactions":[],"lastModifiedDate":"2021-01-28T18:27:14.333337","indexId":"70216650","displayToPublicDate":"2020-09-01T12:00:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7437,"text":"Herptelogical Review","active":true,"publicationSubtype":{"id":10}},"title":"Hemidactylus tenkatei (Spotted house gecko)","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Van Ee, N.B., Xiong, P.X., Young, D.V., Kabat, K.L., Bradke, D., Hileman, E.T., and Nafus, M.G., 2020, Hemidactylus tenkatei (Spotted house gecko): Herptelogical Review, v. 51, no. 3, p. 540-541.","productDescription":"2 p.","startPage":"540","endPage":"541","ipdsId":"IP-114519","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":382765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":382764,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Van Ee, N. B.","contributorId":245254,"corporation":false,"usgs":false,"family":"Van Ee","given":"N.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":805713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xiong, P. X.","contributorId":245262,"corporation":false,"usgs":false,"family":"Xiong","given":"P.","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":805714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, D. V.","contributorId":245263,"corporation":false,"usgs":false,"family":"Young","given":"D.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":805715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kabat, K. L.","contributorId":245250,"corporation":false,"usgs":false,"family":"Kabat","given":"K.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":805716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradke, D. R.","contributorId":245258,"corporation":false,"usgs":false,"family":"Bradke","given":"D. R.","affiliations":[],"preferred":false,"id":805717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hileman, Eric Thomas 0000-0002-7044-370X","orcid":"https://orcid.org/0000-0002-7044-370X","contributorId":224633,"corporation":false,"usgs":true,"family":"Hileman","given":"Eric","email":"","middleInitial":"Thomas","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":805718,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":805720,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228484,"text":"70228484 - 2020 - Does harvest affect genetic diversity in grey wolves?","interactions":[],"lastModifiedDate":"2022-02-11T16:41:05.812626","indexId":"70228484","displayToPublicDate":"2020-09-01T10:34:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Does harvest affect genetic diversity in grey wolves?","docAbstract":"<p>Harvest can affect vital rates such as reproduction and survival, but also genetic measures of individual and population health. Grey wolves (<i>Canis lupus</i>) live and breed in groups, and effective population size is a small fraction of total abundance. As a result, genetic diversity of wolves may be particularly sensitive to harvest. We evaluated how harvest affected genetic diversity and relatedness in wolves. We hypothesized that harvest would (a) reduce relatedness of individuals within groups in a subpopulation but increase relatedness of individuals between groups due to increased local immigration, (b) increase individual heterozygosity and average allelic richness across groups in subpopulations and (c) add new alleles to a subpopulation and decrease the number of private alleles in subpopulations due to an increase in breeding opportunities for unrelated individuals. We found harvest had no effect on observed heterozygosity of individuals or allelic richness at loci within subpopulations but was associated with a small, biologically insignificant effect on within-group relatedness values in grey wolves. Harvest was, however, positively associated with increased relatedness of individuals between groups and a net gain (+16) of alleles into groups in subpopulations monitored since harvest began, although the number of private alleles in subpopulations overall declined. Harvest likely created opportunities for wolves to immigrate into nearby groups and breed, thereby making groups in subpopulations more related over time. Harvest appears to affect genetic diversity in wolves at the group and population levels, but its effects are less apparent at the individual level given the population sizes we studied.</p>","language":"English","publisher":"Wiley-Blackwell","doi":"10.1111/mec.15552","usgsCitation":"Ausband, D.E., and Lisette Waits, 2020, Does harvest affect genetic diversity in grey wolves?: Molecular Ecology, v. 29, no. 17, p. 3187-3195, https://doi.org/10.1111/mec.15552.","productDescription":"9 p.","startPage":"3187","endPage":"3195","ipdsId":"IP-116681","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.7242431640625,\n              47.45780853075031\n            ],\n            [\n              -115.6805419921875,\n              47.42437092240519\n            ],\n            [\n              -115.631103515625,\n              47.487513008956554\n            ],\n            [\n              -115.6805419921875,\n              47.61727271567975\n            ],\n            [\n              -115.75195312499999,\n              47.73562905149295\n            ],\n            [\n              -115.8673095703125,\n              47.84634433782511\n            ],\n            [\n              -116.03759765625,\n              47.97889140226657\n            ],\n            [\n              -116.0540771484375,\n              48.085418575511966\n            ],\n            [\n              -116.707763671875,\n              48.085418575511966\n            ],\n            [\n              -116.7242431640625,\n              47.45780853075031\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.884033203125,\n              44.48866833139464\n            ],\n            [\n              -113.5986328125,\n              44.48866833139464\n            ],\n            [\n              -113.5986328125,\n              45.3521452458518\n            ],\n            [\n              -114.884033203125,\n              45.3521452458518\n            ],\n            [\n              -114.884033203125,\n              44.48866833139464\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.070556640625,\n              43.52465500687185\n            ],\n            [\n              -114.47753906249999,\n              43.52465500687185\n            ],\n            [\n              -114.47753906249999,\n              44.43377984606822\n            ],\n            [\n              -116.070556640625,\n              44.43377984606822\n            ],\n            [\n              -116.070556640625,\n              43.52465500687185\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"17","noUsgsAuthors":false,"publicationDate":"2020-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lisette Waits","contributorId":275916,"corporation":false,"usgs":false,"family":"Lisette Waits","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":834409,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215105,"text":"70215105 - 2020 - Persist in place or shift in space? Evaluating the adaptive capacity of species to climate change","interactions":[],"lastModifiedDate":"2020-11-13T20:16:20.781136","indexId":"70215105","displayToPublicDate":"2020-09-01T10:29:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Persist in place or shift in space? Evaluating the adaptive capacity of species to climate change","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Assessing the vulnerability of species to climate change serves as the basis for climate‐adaptation planning and climate‐smart conservation, and typically involves an evaluation of exposure, sensitivity, and adaptive capacity (AC). AC is a species’ ability to cope with or adjust to changing climatic conditions, and is the least understood and most inconsistently applied of these three factors. We propose an attribute‐based framework for evaluating the AC of species, identifying two general classes of adaptive responses: “persist in place” and “shift in space”. Persist‐in‐place attributes enable species to survive in situ, whereas the shift‐in‐space response emphasizes attributes that facilitate tracking of suitable bioclimatic conditions. We provide guidance for assessing AC attributes and demonstrate the framework's application for species with disparate life histories. Results illustrate the broad utility of this generalized framework for informing adaptation planning and guiding species conservation in a rapidly changing climate.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/fee.2253","usgsCitation":"Thurman, L., Stein, B., Beever, E., Foden, W., Geange, S., Green, N., Gross, J.E., Lawrence, D.J., LeDee, O.E., Olden, J., Thompson, L., and Young, B., 2020, Persist in place or shift in space? Evaluating the adaptive capacity of species to climate change: Frontiers in Ecology and the Environment, v. 18, no. 9, p. 520-528, https://doi.org/10.1002/fee.2253.","productDescription":"9 p.","startPage":"520","endPage":"528","ipdsId":"IP-104223","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":455446,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2253","text":"Publisher Index Page"},{"id":379176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thurman, Lindsey L.","contributorId":242823,"corporation":false,"usgs":false,"family":"Thurman","given":"Lindsey L.","affiliations":[],"preferred":false,"id":800892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stein, Bruce","contributorId":242816,"corporation":false,"usgs":false,"family":"Stein","given":"Bruce","affiliations":[{"id":7224,"text":"National Wildlife Federation","active":true,"usgs":false}],"preferred":false,"id":800893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":147685,"corporation":false,"usgs":true,"family":"Beever","given":"Erik A.","email":"ebeever@usgs.gov","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":800894,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foden, Wendy","contributorId":242817,"corporation":false,"usgs":false,"family":"Foden","given":"Wendy","email":"","affiliations":[{"id":48535,"text":"South African National Parks","active":true,"usgs":false}],"preferred":false,"id":800895,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geange, Sonya","contributorId":242818,"corporation":false,"usgs":false,"family":"Geange","given":"Sonya","email":"","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":800896,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Green, Nancy","contributorId":147691,"corporation":false,"usgs":false,"family":"Green","given":"Nancy","email":"","affiliations":[{"id":16902,"text":"U.S. Fish and Wildlife Service, Ecological Services Program, Washington, D.C., 20240, USA","active":true,"usgs":false}],"preferred":false,"id":800897,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gross, John E.","contributorId":106777,"corporation":false,"usgs":false,"family":"Gross","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":800898,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lawrence, David J","contributorId":242819,"corporation":false,"usgs":false,"family":"Lawrence","given":"David","email":"","middleInitial":"J","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":800899,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"LeDee, Olivia E. 0000-0002-7791-5829 oledee@usgs.gov","orcid":"https://orcid.org/0000-0002-7791-5829","contributorId":242820,"corporation":false,"usgs":true,"family":"LeDee","given":"Olivia","email":"oledee@usgs.gov","middleInitial":"E.","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":800900,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Olden, Julian D.","contributorId":202893,"corporation":false,"usgs":false,"family":"Olden","given":"Julian D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":800901,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":207364,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":800902,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Young, Bruce","contributorId":242821,"corporation":false,"usgs":false,"family":"Young","given":"Bruce","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":800903,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70214966,"text":"70214966 - 2020 - The effects of phosphatization on the mineral associations and speciation of Pb in ferromanganese crusts","interactions":[],"lastModifiedDate":"2020-10-03T15:15:25.727892","indexId":"70214966","displayToPublicDate":"2020-09-01T10:13:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7132,"text":"Earth and Space Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The effects of phosphatization on the mineral associations and speciation of Pb in ferromanganese crusts","docAbstract":"<div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">The older layers of thick ferromanganese (FeMn) crusts from the central Pacific Ocean have undergone diagenetic phosphatization, during which carbonate fluorapatite (CFA) filled fractures and pore space and replaced carbonates. The effects of phosphatization on individual trace metal concentrations, speciation, and phase associations in FeMn crusts remain poorly understood yet may be important to metal enrichment mechanisms, paleoceanography, and extractive metallurgy. This study examines the concentrations, speciation, and mineral phase associations of Pb in phosphatized and nonphosphatized layers within three Pacific Ocean crusts using standard chemical and mineralogical techniques, in addition to bulk X-ray absorption spectroscopy (XAS) and microfocused X-ray fluorescence (μ-XRF) mapping. Our findings challenge the conclusions of previous works, which reported that most Pb in phosphatized crusts was associated with the CFA-dominated residual phase after sequential leaching experiments. These results were interpreted as an indication of Pb transfer from the oxide phases to diagenetic CFA during phosphatization. However, our results reveal an inverse correlation of Pb with Ca and P in the μ-XRF mapping of in situ FeMn crust sections and bulk chemistry. Furthermore, XAS measurements reveal that Pb speciation in bulk phosphatized FeMn crust layers is very similar to nonphosphatized layers, indicating only minor, if any, change in speciation during diagenetic phosphatization. Small differences in the EXAFS spectra for one highly phosphatized layer indicate that minor amounts of Pb may have been altered during phosphatization, but the new Pb-bearing phase was not unequivocally identified. Taken together, our results demonstrate that Pb speciation is not significantly affected by phosphatization.</p></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsearthspacechem.0c00037","usgsCitation":"Mizell, K., Hein, J.R., Koschinsky, A., and Hayes, S.M., 2020, The effects of phosphatization on the mineral associations and speciation of Pb in ferromanganese crusts: Earth and Space Chemistry, v. 9, no. 4, p. 1515-1526, https://doi.org/10.1021/acsearthspacechem.0c00037.","productDescription":"12 p.","startPage":"1515","endPage":"1526","ipdsId":"IP-116090","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":455448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsearthspacechem.0c00037","text":"Publisher Index Page"},{"id":379022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":800457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":800458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koschinsky, Andrea 0000-0002-9224-0663","orcid":"https://orcid.org/0000-0002-9224-0663","contributorId":242599,"corporation":false,"usgs":false,"family":"Koschinsky","given":"Andrea","email":"","affiliations":[{"id":48477,"text":"Jacobs University, Bremen, Germany","active":true,"usgs":false}],"preferred":false,"id":800459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Sarah M. 0000-0001-5887-6492","orcid":"https://orcid.org/0000-0001-5887-6492","contributorId":208569,"corporation":false,"usgs":true,"family":"Hayes","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800460,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70212676,"text":"sir20205038 - 2020 - Groundwater quality in relation to drinking water health standards and hydrogeologic and geochemical characteristics for 47 domestic wells in Potter County, Pennsylvania, 2017","interactions":[],"lastModifiedDate":"2020-09-01T23:33:39.434887","indexId":"sir20205038","displayToPublicDate":"2020-09-01T10:10:00","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":"2020-5038","displayTitle":"Groundwater Quality in Relation to Drinking Water Health Standards and Hydrogeologic and Geochemical Characteristics for 47 Domestic Wells in Potter County, Pennsylvania, 2017","title":"Groundwater quality in relation to drinking water health standards and hydrogeologic and geochemical characteristics for 47 domestic wells in Potter County, Pennsylvania, 2017","docAbstract":"<p>As part of a regional effort to characterize groundwater in rural areas of Pennsylvania, water samples from 47 domestic wells in Potter County were collected from May through September 2017. The sampled wells had depths ranging from 33 to 600 feet in sandstone, shale, or siltstone aquifers. Groundwater samples were analyzed for physicochemical properties that could be evaluated in relation to drinking-water health standards, geology, land use, and other environmental factors. Laboratory analyses included concentrations of major ions, nutrients, bacteria, trace elements, volatile organic compounds (VOCs), ethylene and propylene glycol, alcohols, gross-alpha/beta-particle activity, uranium, radon-222, and dissolved gases. A subset of samples was analyzed for radium isotopes (radium-226 and -228) and for the isotopic composition of methane.</p><p>Results of this 2017 study show that groundwater quality generally met most drinking-water standards that apply to public water supplies. However, a percentage of samples exceeded maximum contaminant levels (MCLs) for total coliform bacteria (69.6 percent), <i>Escherichia coli</i> (30.4 percent), arsenic, and barium; and secondary maximum contaminant levels (SMCLs) for field pH, manganese, sodium, iron, total dissolved solids, aluminum, and chloride. All of the analyzed VOCs were below limits of detection and associated drinking water criteria. Radon-222 activities exceeded the proposed drinking-water standard of 300 picocuries per liter in 80.9 percent of the samples.</p><p>The field pH of the groundwater ranged from 4.6 to 9.0. Generally, the lower pH samples had greater potential for elevated concentrations of dissolved metals, including beryllium, copper, lead, nickel, and zinc, whereas the higher pH samples had greater potential for elevated concentrations of total dissolved solids, sodium, fluoride, boron, and uranium. Near-neutral samples (pH 6.5 to 7.5) had greater hardness and alkalinity concentrations than other samples with pH values outside this range. Calcium/bicarbonate waters were the predominant hydrochemical type for the sampled aquifers, with mixed water types for many samples, including variable contributions from calcium, magnesium, and sodium combined with bicarbonate, sulfate, chloride, and nitrate.</p><p>Water from 45 wells had concentrations of methane greater than the 0.0002 milligrams per liter (mg/L) detection limit. One sample had the maximum value of 11 mg/L, which exceeds the Pennsylvania action level of 7 mg/L. Additionally, three other samples had concentrations of methane greater than 4 mg/L. Outgassing of such levels of methane from the water to air within a confined space can result in a potential hazard. The elevated concentrations of methane generally were associated with suboxic groundwater (dissolved oxygen less than 0.5 mg/L) that had near-neutral to alkaline pH with relatively elevated concentrations of iron, manganese, ammonia, lithium, fluoride, and boron. Other constituents, including barium, sodium, chloride, and bromide, commonly were elevated, but not limited to, those well-water samples with elevated methane. Low levels of ethane (as much as 1.2 mg/L) were present in eight samples with the highest methane concentrations. Five samples were analyzed for methane isotopes. The isotopic and hydrocarbon compositions in these five samples suggest the methane may be of microbial origin or a mixture of thermogenic and microbial gas, but differed from the compositions reported for mud-gas logging samples collected during drilling of gas wells.</p><p>The concentrations of sodium (median 8.2 mg/L), chloride (median 7.64 mg/L), and bromide (median 0.02 mg/L) for the 47 groundwater samples collected for this study ranged widely and were positively correlated with one another and with specific conductance and associated measures of ionic strength. Sixty percent of the Potter County well-water samples had chloride concentrations less than 10 mg/L. Samples with higher chloride concentrations had variable bromide concentrations and corresponding chloride/bromide ratios that are consistent with sources such as road-deicing salt and septic effluent (low bromide) or brine (high bromide). Brines are naturally present in deeper parts of the regional groundwater system and, in some cases, may be mobilized by gas drilling. It is also possible that valley wells were drilled close to or into the brine-freshwater interface, so brine signatures do not necessarily indicate contamination due to drilling. The chloride, bromide, and other constituents in road-deicing salt or brine solutions tend to be diluted by mixing with fresh groundwater in shallow aquifers used for water supply. Although 1 of 8 groundwater samples with the highest methane concentrations (greater than 0.2 mg/L) had concentrations of chloride and bromide with corresponding chloride/bromide ratios that indicated mixing with road-deicing salt, the other 7 of 8 samples with elevated methane had concentrations of chloride and bromide with corresponding chloride/bromide ratios that indicated mixing with a small amount of brine (0.02 percent or less) similar in composition to those reported for gas and oil well brines in Pennsylvania. In several eastern Pennsylvania counties where gas drilling is absent, groundwater with comparable chloride/bromide ratios and chloride concentrations have been reported. Approximately 50 percent of Potter County well-water samples, including two samples with the fourth (72.9 mg/L) and fifth (47.0 mg/L) highest chloride concentrations, have chloride/bromide ratios that indicate predominantly anthropogenic sources of chloride, such as road-deicing salt or septic effluent.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205038","collaboration":"Prepared in cooperation with the County of Potter","usgsCitation":"Galeone, D.G., Cravotta, C.A., III, and Risser, D.W., 2020, Groundwater quality in relation to drinking water health standards and hydrogeologic and geochemical characteristics for 47 domestic wells in\nPotter County, Pennsylvania, 2017: U.S. Geological Survey Scientific Investigations Report 2020–5038, p.67, https://doi.org/10.3133/sir20205038.","productDescription":"Report: viii, 67 p.; 2 Appendixes, Data Release","numberOfPages":"67","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-111083","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":377852,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5038/coverthb.jpg"},{"id":377854,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5038/sir20205038.pdf","text":"Report","size":"8.77 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5038"},{"id":377855,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5038/sir20205038_appendix3.xlsx","text":"Appendix 3","size":"30.3 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Excel file"},{"id":377856,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5038/sir20205038_appendix3.csv","text":"Appendix 3","size":"9.00 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- CSV file"},{"id":377857,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EBORD5","text":"USGS data release","linkHelpText":"Compilation of wells sampled, physical characteristics of wells, links to water-quality data, and quality assurance and quality control data for domestic wells sampled by the U.S. Geological Survey in Potter County, Pennsylvania, April–September 2017"}],"country":"United States","state":"Pennsylvania","county":"Potter County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-77.7513,41.999],[-77.7031,41.9991],[-77.6884,41.9992],[-77.6096,41.9998],[-77.6077,41.9211],[-77.6076,41.9174],[-77.6076,41.9015],[-77.6063,41.8402],[-77.6057,41.8334],[-77.6056,41.8121],[-77.6056,41.8093],[-77.605,41.8007],[-77.605,41.7944],[-77.6043,41.7558],[-77.6043,41.7499],[-77.6043,41.7472],[-77.603,41.7186],[-77.603,41.6999],[-77.6017,41.6518],[-77.6017,41.6437],[-77.601,41.6128],[-77.601,41.5987],[-77.5997,41.5497],[-77.5991,41.5424],[-77.5991,41.5256],[-77.5991,41.5211],[-77.5984,41.5002],[-77.5978,41.4784],[-77.6155,41.4784],[-77.664,41.4784],[-77.6977,41.4779],[-77.6989,41.4779],[-77.7093,41.4778],[-77.7498,41.4778],[-77.7645,41.4777],[-77.7774,41.4772],[-77.8006,41.4772],[-77.8123,41.4772],[-77.8282,41.4767],[-77.8454,41.4766],[-77.8742,41.4761],[-77.903,41.476],[-77.922,41.4755],[-77.9514,41.4754],[-77.9796,41.4757],[-77.9876,41.4757],[-78.0513,41.4768],[-78.0643,41.4881],[-78.0773,41.5003],[-78.094,41.5157],[-78.0958,41.5175],[-78.0977,41.5193],[-78.1107,41.5315],[-78.1119,41.5328],[-78.1243,41.5437],[-78.1379,41.5568],[-78.1769,41.5933],[-78.1831,41.5992],[-78.1862,41.6019],[-78.1992,41.6136],[-78.2035,41.6177],[-78.2054,41.619],[-78.2048,41.625],[-78.2062,41.6967],[-78.2065,41.7875],[-78.2065,41.7925],[-78.2066,41.8029],[-78.2068,41.8197],[-78.2071,41.8479],[-78.2073,41.866],[-78.2067,41.8697],[-78.2068,41.881],[-78.2075,41.8865],[-78.2078,41.9196],[-78.2078,41.9786],[-78.2085,41.9859],[-78.2086,42],[-77.9943,41.999],[-77.9662,41.9988],[-77.8686,41.9989],[-77.7513,41.999]]]},\"properties\":{\"name\":\"Potter\",\"state\":\"PA\"}}]}","contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/pa-water\" data-mce-href=\"https://www.usgs.gov/centers/pa-water\">Pennsylvania Water Science Center</a><br>U.S. Geological Survey<br>215 Limekiln Road<br>New Cumberland, PA 17070</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Methods</li><li>Groundwater Quality and Comparison to Drinking Water Health Standards</li><li>Relation of Groundwater Quality to Hydrogeologic and Geochemical Characteristics</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1</li><li>Appendix 2</li><li>Appendix 3</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-09-01","noUsgsAuthors":false,"publicationDate":"2020-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Galeone, Daniel G. 0000-0002-8007-9278 dgaleone@usgs.gov","orcid":"https://orcid.org/0000-0002-8007-9278","contributorId":2301,"corporation":false,"usgs":true,"family":"Galeone","given":"Daniel","email":"dgaleone@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":216591,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III","email":"","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Risser, Dennis W. 0000-0001-9597-5406 dwrisser@usgs.gov","orcid":"https://orcid.org/0000-0001-9597-5406","contributorId":898,"corporation":false,"usgs":true,"family":"Risser","given":"Dennis","email":"dwrisser@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215526,"text":"70215526 - 2020 - Does signal-free detrending increase chronology coherence in large tree-ring networks?","interactions":[],"lastModifiedDate":"2020-10-22T14:56:27.08518","indexId":"70215526","displayToPublicDate":"2020-09-01T09:53:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1377,"text":"Dendrochronologia","active":true,"publicationSubtype":{"id":10}},"title":"Does signal-free detrending increase chronology coherence in large tree-ring networks?","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0005\" class=\"abstract author\"><div id=\"abst0005\"><p id=\"spar0035\">Over the past decade, dendrochronologists have increasingly adopted the signal-free detrending (SFD) method to remove age-size trends in tree-ring measurement series, amplify the common stand-wide signal in composite chronologies, and recover medium- to low-frequency patterns that may be inadvertently removed by other detrending approaches. However, since its introduction in 2008, no systematic evaluation of the effects of SFD on tree-ring chronologies has been performed. Here we conduct the first review of SFD in dendrochronology and assess its effects when applied to large tree-ring networks. We analyzed the PAGES North America 2 K database of nearly 300 temperature-sensitive chronologies and the Missouri River database of over 350 chronologies curated for the purpose of reconstructing Missouri River streamflow. Both databases contain multiple versions of each chronology generated by different detrending methods, including those produced with (and without) the signal-free procedure applied. We evaluated (i) whether SFD increases chronology coherence at the site level by boosting the between-tree agreement, (ii) whether SFD increases coherence on a regional basis by making neighboring chronologies more similar to each other, and (iii) whether signal-free chronologies retained more medium- to low-frequency variability than their traditional counterparts. We find that, while SFD increased the strength of common signals in many instances, the effect was not universal and some sites even show a decrease in signal coherence. At regional scales, SFD increases chronology coherence in temperature-sensitive records but had no detectable effect on moisture-sensitive records. Our results demonstrate the importance of evaluating the effects of SFD prior to deploying this method for chronology development and paleoclimate reconstruction.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.dendro.2020.125755","usgsCitation":"McPartland, M., St. George, S., Pederson, G.T., and Anchukaitis, K., 2020, Does signal-free detrending increase chronology coherence in large tree-ring networks?: Dendrochronologia, v. 63, 125755, 9 p., https://doi.org/10.1016/j.dendro.2020.125755.","productDescription":"125755, 9 p.","ipdsId":"IP-119190","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":455451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dendro.2020.125755","text":"Publisher Index Page"},{"id":379656,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.3125,\n              56.17002298293205\n            ],\n            [\n              -144.84375,\n              59.62332522313024\n            ],\n            [\n              -135.17578125,\n              45.706179285330855\n            ],\n            [\n              -103.71093749999999,\n              11.350796722383672\n            ],\n            [\n              -78.046875,\n              7.013667927566642\n            ],\n            [\n              -75.05859375,\n              30.14512718337613\n            ],\n            [\n              -50.09765625,\n              47.39834920035926\n            ],\n            [\n              -61.87499999999999,\n              66.79190947341796\n            ],\n            [\n              -156.796875,\n              71.52490903732816\n            ],\n            [\n              -167.16796875,\n              69.41124235697256\n            ],\n            [\n              -160.3125,\n              56.17002298293205\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"63","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McPartland, M.Y.","contributorId":243569,"corporation":false,"usgs":false,"family":"McPartland","given":"M.Y.","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":802595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"St. George, Scott","contributorId":218756,"corporation":false,"usgs":false,"family":"St. George","given":"Scott","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":802596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":802597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anchukaitis, K.J.","contributorId":243570,"corporation":false,"usgs":false,"family":"Anchukaitis","given":"K.J.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":802598,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219500,"text":"70219500 - 2020 - Appendix C: Interim report on subtask focused on resampling historic Kennedy/ITD plots for RP-284","interactions":[],"lastModifiedDate":"2024-03-21T14:57:26.818057","indexId":"70219500","displayToPublicDate":"2020-09-01T09:41:41","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":17032,"text":"Research Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"RP284","title":"Appendix C: Interim report on subtask focused on resampling historic Kennedy/ITD plots for RP-284","docAbstract":"<p>In October 2019, an Idaho Transportation Department (ITD) Cooperative Transportation Research Program award was made to Boise State University in partnership with the U.S. Geological Survey to investigate the use of weed-suppressive bacteria (Pseudomonas fluorescens strain ACK55) with preemergent herbicides (imazapic and indaziflam) to reduce exotic annual grasses (cheatgrass, medusahead) on ITD right-of-ways. The work includes a subtask in which ITD right-of-ways treated with ACK55 by Dr. Ann Kennedy 4-5 years previously (2017 report; ITD-RP-258) were resampled in summer 2020, focusing only on ACK55 and not the herbicides (which are tested separately and will be reported on in the future). The 2020 sampling protocol was similar but more intensive than the ITD-RP-258. There were no differences in annual grasses on areas sprayed with ACK55 and nearby untreated areas. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Integration of weed-suppressive bacteria With herbicides to reduce exotic annual grasses and wildfire problems on ITD right-of-ways","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Idaho Transportation Department","usgsCitation":"Simler-Williamson, A., Germino, M., and Lazarus, B.E., 2020, Appendix C: Interim report on subtask focused on resampling historic Kennedy/ITD plots for RP-284: Research Report RP284, 10 p.","productDescription":"10 p.","startPage":"64","endPage":"73","ipdsId":"IP-122548","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":426833,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://trid.trb.org/view/1671384","linkFileType":{"id":5,"text":"html"}},{"id":426834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.00199525103896,\n              43.95313159832966\n            ],\n            [\n              -117.00199525103896,\n              42.875845710695984\n            ],\n            [\n              -115.61944168078848,\n              42.875845710695984\n            ],\n            [\n              -115.61944168078848,\n              43.95313159832966\n            ],\n            [\n              -117.00199525103896,\n              43.95313159832966\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Simler-Williamson, Allison B. 0000-0003-1358-1919","orcid":"https://orcid.org/0000-0003-1358-1919","contributorId":292572,"corporation":false,"usgs":false,"family":"Simler-Williamson","given":"Allison B.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":897031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":257069,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lazarus, Brynne E. 0000-0002-6352-486X blazarus@usgs.gov","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":4901,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne","email":"blazarus@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":897032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70237929,"text":"70237929 - 2020 - Unifying advective and diffusive descriptions of bedform pumping in the benthic biolayer of streams","interactions":[],"lastModifiedDate":"2022-11-01T14:24:10.766501","indexId":"70237929","displayToPublicDate":"2020-09-01T09:21:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Unifying advective and diffusive descriptions of bedform pumping in the benthic biolayer of streams","docAbstract":"<p><span>Many water quality and ecosystem functions performed by streams occur in the benthic biolayer, the biologically active upper (~5&nbsp;cm) layer of the streambed. Solute transport through the benthic biolayer is facilitated by bedform pumping, a physical process in which dynamic and static pressure variations over the surface of stationary bedforms (e.g., ripples and dunes) drive flow across the sediment-water interface. In this paper we derive two predictive modeling frameworks, one advective and the other diffusive, for solute transport through the benthic biolayer by bedform pumping. Both frameworks closely reproduce patterns and rates of bedform pumping previously measured in the laboratory, provided that the diffusion model's dispersion coefficient declines exponentially with depth. They are also functionally equivalent, such that parameter sets inferred from the 2D advective model can be applied to the 1D diffusive model, and vice versa. The functional equivalence and complementary strengths of these two models expand the range of questions that can be answered, for example, by adopting the 2D advective model to study the effects of geomorphic processes (such as bedform adjustments to land use change) on flow-dependent processes and the 1D diffusive model to study problems where multiple transport mechanisms combine (such as bedform pumping and turbulent diffusion). By unifying 2D advective and 1D diffusive descriptions of bedform pumping, our analytical results provide a straightforward and computationally efficient approach for predicting, and better understanding, solute transport in the benthic biolayer of streams and coastal sediments.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020WR027967","usgsCitation":"Grant, S., Monofy, A., Boano, F., Gomez-Velez, J., Guymer, I., Harvey, J., and Ghisalberti, M., 2020, Unifying advective and diffusive descriptions of bedform pumping in the benthic biolayer of streams: Water Resources Research, v. 56, no. 11, e2020WR027967, 21 p., https://doi.org/10.1029/2020WR027967.","productDescription":"e2020WR027967, 21 p.","ipdsId":"IP-121919","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":455454,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020wr027967","text":"Publisher Index Page"},{"id":408989,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Grant, Stanley 0000-0001-6221-7211","orcid":"https://orcid.org/0000-0001-6221-7211","contributorId":298684,"corporation":false,"usgs":false,"family":"Grant","given":"Stanley","email":"","affiliations":[{"id":39959,"text":"Virginia Tech.","active":true,"usgs":false}],"preferred":false,"id":856244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monofy, Ahmed 0000-0001-9641-327X","orcid":"https://orcid.org/0000-0001-9641-327X","contributorId":298685,"corporation":false,"usgs":false,"family":"Monofy","given":"Ahmed","email":"","affiliations":[{"id":39959,"text":"Virginia Tech.","active":true,"usgs":false}],"preferred":false,"id":856245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boano, Fulvio","contributorId":124515,"corporation":false,"usgs":false,"family":"Boano","given":"Fulvio","email":"","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":856246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomez-Velez, Jesus 0000-0001-8045-5926 jgomezvelez@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5926","contributorId":298680,"corporation":false,"usgs":false,"family":"Gomez-Velez","given":"Jesus","email":"jgomezvelez@usgs.gov","affiliations":[{"id":64656,"text":"Vanderbilt University, Nashville, TN, USA","active":true,"usgs":false}],"preferred":false,"id":856247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guymer, Ian 0000-0002-1425-5093","orcid":"https://orcid.org/0000-0002-1425-5093","contributorId":298686,"corporation":false,"usgs":false,"family":"Guymer","given":"Ian","email":"","affiliations":[{"id":64657,"text":"University of Sheffield, England","active":true,"usgs":false}],"preferred":false,"id":856248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harvey, Judson 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ghisalberti, Marco","contributorId":182034,"corporation":false,"usgs":false,"family":"Ghisalberti","given":"Marco","email":"","affiliations":[],"preferred":false,"id":856250,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70213175,"text":"70213175 - 2020 - Living with wildfire in the Squilchuck Drainage - Chelan County, Washington: 2020 data report","interactions":[],"lastModifiedDate":"2020-09-11T14:23:35.999267","indexId":"70213175","displayToPublicDate":"2020-09-01T09:16:38","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":17,"text":"Data Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-87","title":"Living with wildfire in the Squilchuck Drainage - Chelan County, Washington: 2020 data report","docAbstract":"Research on the social dimensions of wildfire provides opportunities to understand how communities and the people who reside in those communities interact with the threat of wildfire. Overall, three findings from this project were particularly noteworthy. First, household survey results indicate that residents in the Squilchuck Drainage, Chelan County, Washington have high expectations of response services in the event of a wildfire. Second, the survey data indicated Chelan County Fire District 1 (CCFD1) was the most frequently reported source of wildfire risk information and was characterized as a source of useful information. Finally, the project in the Squilchuck Drainage was an opportunity to examine how heterogeneous communities inhabit a contiguous biophysical location. Reported findings highlight the fact that even in relatively small geographic spaces, the social variation could have important implications for how a wildfire mitigation program attends to the varying social conditions within the communities that they serve.","language":"English","publisher":"U.S. Department of Agriculture","usgsCitation":"Brenkert-Smith, H., Champ, P.A., Riley, J., Barth, C.M., Donovan, C., Meldrum, J., and Wagner, C., 2020, Living with wildfire in the Squilchuck Drainage - Chelan County, Washington: 2020 data report: Data Report RMRS-RN-87, 126 p.","productDescription":"126 p.","ipdsId":"IP-119410","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":378339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378329,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.fed.us/rm/pubs_series/rmrs/rn/rmrs_rn087.pdf"}],"country":"United 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These diverse mission needs have engendered a rich and extensive base of water-related data and modeling capabilities. While useful for their intended purposes, these capabilities are not well integrated to address complex regional problems and overarching national problems. These major investments by several federal agencies and their scientific partners, however, lay the foundation for an integrated hydro-terrestrial modeling and data infrastructure that will enhance knowledge, understanding, prediction, and management of the nation’s diverse water challenges.</p>","language":"English","publisher":"Department of Energy","doi":"10.25584/09102020/1659275","usgsCitation":"Lesmes, D.P., Moerman, J., Torgeson, T., Vallario, B., Scheibe, T.D., Foufoula-Georgiou, E., Jenter, H.L., Bingner, R.L., Condon, L., Cosgrove, B., Del Castillo, C., Downer, C.W., Eylander, J., Fienen, M.N., Frazier, N., Gochis, D., Goodrich, D., Harvey, J., Hughes, J.D., Hyndman, D., Johnston, J., Melton, F., Moglen, G.E., Moulton, D., Lautz, L.K., Parmar, R., Rashleigh, B., Reed, P., Skalak, K., Varadharajan, C., Viger, R.J., Voisin, N., and Wahl, M., 2020, Integrated hydro-terrestrial modeling: Development of a national capability, 182 p., 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,{"id":70216737,"text":"70216737 - 2020 - Rapid-assessment test strips: Effectiveness forcyanotoxin monitoring in a northern temperate lake","interactions":[],"lastModifiedDate":"2021-03-15T23:09:01.802048","indexId":"70216737","displayToPublicDate":"2020-09-01T08:03:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Rapid-assessment test strips: Effectiveness forcyanotoxin monitoring in a northern temperate lake","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Precise and rapid methods of determining toxin levels are needed in lakes used for recreation and drinking water to facilitate a quick risk assessment during cyanobacteria blooms. Therefore, we evaluated rapid-assessment test strips, a newer technology for estimating the toxicity of cyanobacterial blooms, in Kabetogama Lake, a popular recreational area of Voyageurs National Park in northern Minnesota (USA). Sixty-seven percent of the test strip results matched results of enzyme-linked immunosorbent assays, with individual toxin results of 75% (anatoxin-a), 80% (cylindrospermopsin), and 64% (microcystin). These results provide some evidence that the test strips may be effective for rapid detection of toxins in northern temperate lakes, although improvements to the test strips may be beneficial. Despite the intensive processing required and uncertainty of some results, the availability of a rapid and inexpensive field method allowed us to sample opportunistically in the fall, when we documented dangerously high toxin concentrations at places where waterfowl-retrieving dogs may be at particular risk of exposure.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10402381.2020.1805531","usgsCitation":"LeDuc, J.F., Christensen, V., and Maki, R., 2020, Rapid-assessment test strips: Effectiveness forcyanotoxin monitoring in a northern temperate lake: Lake and Reservoir Management, v. 4, no. 36, p. 444-453, https://doi.org/10.1080/10402381.2020.1805531.","productDescription":"10 p.","startPage":"444","endPage":"453","ipdsId":"IP-105256","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":436805,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N10OX1","text":"USGS data release","linkHelpText":"Rapid assessment test strip data for determining cyanotoxin presence in algal blooms, Kabetogama Lake, northern Minnesota, 2017-2018"},{"id":380949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.427978515625,\n              47.787325537803106\n            ],\n            [\n              -90.32409667968749,\n              47.787325537803106\n            ],\n            [\n              -90.32409667968749,\n              48.38544219115483\n            ],\n            [\n              -92.427978515625,\n              48.38544219115483\n            ],\n            [\n              -92.427978515625,\n              47.787325537803106\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"36","noUsgsAuthors":false,"publicationDate":"2020-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"LeDuc, Jaime F.","contributorId":190132,"corporation":false,"usgs":false,"family":"LeDuc","given":"Jaime","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":806019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maki, Ryan P.","contributorId":190131,"corporation":false,"usgs":false,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":806021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70212985,"text":"70212985 - 2020 - Robotic environmental DNA bio-surveillance of freshwater health","interactions":[],"lastModifiedDate":"2020-09-08T13:40:30.467481","indexId":"70212985","displayToPublicDate":"2020-09-01T07:46:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Robotic environmental DNA bio-surveillance of freshwater health","docAbstract":"Autonomous water sampling technologies may help to overcome the human resource challenges of monitoring biological threats to rivers over long time periods and large geographic areas. The Monterey Bay Aquarium Research Institute has pioneered a robotic Environmental Sample Processor (ESP) that overcomes some of the constraints associated with traditional sampling since it can automate water sample filtration and preservation of the captured material or homogenize it for immediate analyses in situ. The ESP was originally developed for marine environment applications. Here we evaluated whether the ESP can provide reliable, timely information on environmental (e)DNA detections of human and fish pathogens and introduced fishes at U.S. Geological Survey streamgage sites in freshwater rivers. We compared eDNA collected via ESP at high frequency (e.g., every 3 h) with manual eDNA collections collected at lower frequency (e.g., weekly). We found that water samples filtered and preserved by ESPs successfully detected the DNA of human pathogens, fish pathogens and introduced fishes. Both ESP and manually collected samples provided similar information about target DNA presence. We suggest that the greatest current benefit of the ESP is the cost savings of high frequency, bio-surveillance at remote or hard to access sites. The full potential of robotic technologies like the ESP will be realized when they can more easily execute in situ analyses of water samples and rapidly transmit results to decision-makers.","language":"English","publisher":"Nature","doi":"10.1038/s41598-020-71304-3","usgsCitation":"Sepulveda, A.J., Birch, J.M., Barnhart, E.P., Merkes, C.M., Yamahara, K., Marin, R., Kinsey, S., Wright, P.R., and Schmidt, C., 2020, Robotic environmental DNA bio-surveillance of freshwater health: Scientific Reports, v. 10, 14389; 8 p., https://doi.org/10.1038/s41598-020-71304-3.","productDescription":"14389; 8 p.","ipdsId":"IP-115755","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":455459,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-020-71304-3","text":"Publisher Index Page"},{"id":436806,"rank":0,"type":{"id":30,"text":"Data 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Kevan","contributorId":239853,"corporation":false,"usgs":false,"family":"Yamahara","given":"Kevan","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":797903,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marin, Roman","contributorId":239856,"corporation":false,"usgs":false,"family":"Marin","given":"Roman","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":797904,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kinsey, Stacy 0000-0001-7629-2634 skinsey@usgs.gov","orcid":"https://orcid.org/0000-0001-7629-2634","contributorId":220238,"corporation":false,"usgs":true,"family":"Kinsey","given":"Stacy","email":"skinsey@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797905,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wright, Peter R. 0000-0003-0305-4541 prwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0305-4541","contributorId":239858,"corporation":false,"usgs":true,"family":"Wright","given":"Peter","email":"prwright@usgs.gov","middleInitial":"R.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797906,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schmidt, Christian 0000-0001-6842-0392","orcid":"https://orcid.org/0000-0001-6842-0392","contributorId":217710,"corporation":false,"usgs":true,"family":"Schmidt","given":"Christian","email":"","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797907,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70216436,"text":"70216436 - 2020 - Flow‐ecology modelling to inform reservoir releases for riparian restoration and management","interactions":[],"lastModifiedDate":"2020-11-18T13:18:09.126565","indexId":"70216436","displayToPublicDate":"2020-09-01T07:16:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Flow‐ecology modelling to inform reservoir releases for riparian restoration and management","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Linked hydrologic, hydraulic, and ecological models can facilitate planning and implementing water releases from reservoirs to achieve ecological objectives along rivers. We applied a flow‐ecology model, the Ecosystem Functions Model (HEC‐EFM), to the Bill Williams River in southwestern USA to estimate areas suitable for recruitment of riparian tree seedlings in the context of managing flow releases from a large dam for riparian restoration. Ecological variables in the model included timing of seed dispersal, tolerable rates of flow recession, and tolerable duration of inundation following germination and early seedling establishment for native Fremont cottonwood and Goodding's willow, and non‐native tamarisk. Hydrological variables included peak flow timing, rate of flow recession following the peak, and duration of inundation. A one‐dimensional hydraulic model was applied to estimate stage‐discharge relationships along ~58 river kilometres. We then used HEC‐EFM to apply relationships between seedling ecology and streamflow to link hydrological dynamics with ecological response. We developed and validated HEC‐EFM based on an examination of seedling recruitment following an experimental flow release from Alamo Dam in spring 2006. The model predicted the largest area of potential recruitment for cottonwood (280–481 ha), with smaller areas predicted for willow (174–188 ha) and tamarisk (59–60 ha). Correlations between observed and predicted patches with successful seedling recruitment for areas within 40 m of the main channel ranged from 0.66 to 0.94. Finally, we examined arrays of hydrographs to identify which are most conducive to seedling recruitment along the river, given different combinations of peak flow, recession rate, and water volume released. Similar application of this model could be useful for informing reservoir management in the context of riparian restoration along other rivers facing similar challenges.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13901","usgsCitation":"Hickey, J.T., Shafroth, P., and Fields, W., 2020, Flow‐ecology modelling to inform reservoir releases for riparian restoration and management: Hydrological Processes, v. 34, no. 24, p. 4576-4591, https://doi.org/10.1002/hyp.13901.","productDescription":"16 p.","startPage":"4576","endPage":"4591","ipdsId":"IP-073663","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":380588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Bill Williams River study area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.44183349609375,\n              34.10043369975709\n            ],\n            [\n              -113.35968017578125,\n              34.10043369975709\n            ],\n            [\n              -113.35968017578125,\n              34.511083202999714\n            ],\n            [\n              -114.44183349609375,\n              34.511083202999714\n            ],\n            [\n              -114.44183349609375,\n              34.10043369975709\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"24","noUsgsAuthors":false,"publicationDate":"2020-09-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hickey, John T","contributorId":244993,"corporation":false,"usgs":false,"family":"Hickey","given":"John","email":"","middleInitial":"T","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":805110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":805111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fields, Woodrow L","contributorId":244994,"corporation":false,"usgs":false,"family":"Fields","given":"Woodrow L","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":805112,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70213122,"text":"70213122 - 2020 - Uranium bioaccumulation dynamics in the mayfly Neocloeon triangulifer and application to site-specific prediction","interactions":[],"lastModifiedDate":"2020-09-24T16:19:26.740773","indexId":"70213122","displayToPublicDate":"2020-09-01T07:14:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Uranium bioaccumulation dynamics in the mayfly <i>Neocloeon triangulifer</i> and application to site-specific prediction","title":"Uranium bioaccumulation dynamics in the mayfly Neocloeon triangulifer and application to site-specific prediction","docAbstract":"<div class=\"article_abstract\"><div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Little is known about the underlying mechanisms governing the bioaccumulation of uranium (U) in aquatic insects. We experimentally parameterized conditional rate constants for aqueous U uptake, dietary U uptake, and U elimination for the aquatic baetid mayfly<span>&nbsp;</span><i>Neocloeon triangulifer</i>. Results showed that this species accumulates U from both the surrounding water and diet, with waterborne uptake prevailing. Elevated dietary U concentrations decreased feeding rates, presumably by altering food palatability or impairing the mayfly’s digestive processes, or both. Nearly 90% of the accumulated U was eliminated within 24 h after the waterborne exposure ceased, reflecting the desorption of weakly bound U from the insect’s integument. To examine whether the experimentally derived rate constants for<span>&nbsp;</span><i>N. triangulifer</i><span>&nbsp;</span>could be generalized to baetid mayflies, mayfly U concentrations were predicted using the water chemistry and U measured in periphyton from springs in Grand Canyon (United States) and were compared to U concentrations in spring-dwelling mayflies. Predicted and observed mayfly U concentrations were in good agreement. Under the modeled site-specific conditions, waterborne U uptake accounted for 52–93% of the bioaccumulated U. U accumulation was limited in these wild populations due to a combination of factors including low concentrations of bioavailable dissolved U species, slow U uptake rates from food, and fast U elimination.</p></div></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.0c03372","usgsCitation":"Henry, B.L., Croteau, M.N., Walters, D., Miller, J., Cain, D.J., and Fuller, C.C., 2020, Uranium bioaccumulation dynamics in the mayfly Neocloeon triangulifer and application to site-specific prediction: Environmental Science & Technology, v. 54, no. 18, p. 11313-11321, https://doi.org/10.1021/acs.est.0c03372.","productDescription":"9 p.","startPage":"11313","endPage":"11321","ipdsId":"IP-113258","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":436808,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZTUV7L","text":"USGS data release","linkHelpText":"Data for laboratory experiments conducted with the mayfly Neocloeon triangulifer to derive uranium bioaccumulation parameters and predict site-specific U accumulation, 2016-2019"},{"id":378302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"18","noUsgsAuthors":false,"publicationDate":"2020-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Henry, Brianna L.","contributorId":239984,"corporation":false,"usgs":false,"family":"Henry","given":"Brianna","email":"","middleInitial":"L.","affiliations":[{"id":48079,"text":"Natural Resources Conservation Service, Beltsville, MD","active":true,"usgs":false}],"preferred":false,"id":798288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":798289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205915,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":798290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Janet L.","contributorId":239985,"corporation":false,"usgs":false,"family":"Miller","given":"Janet L.","affiliations":[{"id":48080,"text":"Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":798291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":798292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":798293,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70237932,"text":"70237932 - 2020 - A one‐dimensional model for turbulent mixing in the benthic biolayer of stream and coastal sediments","interactions":[],"lastModifiedDate":"2022-11-01T12:15:07.048542","indexId":"70237932","displayToPublicDate":"2020-09-01T07:13:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A one‐dimensional model for turbulent mixing in the benthic biolayer of stream and coastal sediments","docAbstract":"<div class=\"article-section__content en main\"><p>In this paper, we develop and validate a rigorous modeling framework, based on Duhamel's Theorem, for the unsteady one-dimensional vertical transport of a solute across a flat sediment-water interface (SWI) and through the benthic biolayer of a turbulent stream. The modeling framework is novel in capturing the two-way coupling between evolving solute concentrations above and below the SWI and in allowing for a depth-varying diffusivity. Three diffusivity profiles within the sediment (constant, exponentially decaying, and a hybrid model) are evaluated against an extensive set of previously published laboratory measurements of turbulent mass transfer across the SWI. The exponential diffusivity profile best represents experimental observations and its reference diffusivity scales with the permeability Reynolds number, a dimensionless measure of turbulence at the SWI. The depth over which turbulence-enhanced diffusivity decays is of the order of centimeters and comparable to the thickness of the benthic biolayer. Thus, turbulent mixing across the SWI may serve as a universal transport mechanism, supplying the nutrient and energy fluxes needed to sustain microbial growth, and nutrient processing, in the benthic biolayer of stream and coastal sediments.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019WR026822","usgsCitation":"Grant, S., Gomez-Velez, J., Ghisalberti, M., Guymer, I., Boano, F., Roche, K., and Harvey, J., 2020, A one‐dimensional model for turbulent mixing in the benthic biolayer of stream and coastal sediments: Water Resources Research, v. 56, no. 12, e2019WR026822, 17 p., https://doi.org/10.1029/2019WR026822.","productDescription":"e2019WR026822, 17 p.","ipdsId":"IP-120410","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":455463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019wr026822","text":"Publisher Index Page"},{"id":408972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Grant, Stanley 0000-0001-6221-7211","orcid":"https://orcid.org/0000-0001-6221-7211","contributorId":298684,"corporation":false,"usgs":false,"family":"Grant","given":"Stanley","email":"","affiliations":[{"id":39959,"text":"Virginia Tech.","active":true,"usgs":false}],"preferred":false,"id":856264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomez-Velez, Jesus 0000-0001-8045-5926 jgomezvelez@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5926","contributorId":298680,"corporation":false,"usgs":false,"family":"Gomez-Velez","given":"Jesus","email":"jgomezvelez@usgs.gov","affiliations":[{"id":64656,"text":"Vanderbilt University, Nashville, TN, USA","active":true,"usgs":false}],"preferred":false,"id":856265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ghisalberti, Marco","contributorId":182034,"corporation":false,"usgs":false,"family":"Ghisalberti","given":"Marco","email":"","affiliations":[],"preferred":false,"id":856266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guymer, Ian 0000-0002-1425-5093","orcid":"https://orcid.org/0000-0002-1425-5093","contributorId":298686,"corporation":false,"usgs":false,"family":"Guymer","given":"Ian","email":"","affiliations":[{"id":64657,"text":"University of Sheffield, England","active":true,"usgs":false}],"preferred":false,"id":856267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boano, Fulvio","contributorId":124515,"corporation":false,"usgs":false,"family":"Boano","given":"Fulvio","email":"","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":856268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roche, Kevin","contributorId":242791,"corporation":false,"usgs":false,"family":"Roche","given":"Kevin","email":"","affiliations":[{"id":48530,"text":"Department of Civil & Environmental Engineering & Earth Sciences, University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":856269,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harvey, Judson 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856270,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70217123,"text":"70217123 - 2020 - Sea surface temperature across the Subarctic North Pacific and marginal seas through the past 20,000 years: A paleoceanographic synthesis","interactions":[],"lastModifiedDate":"2021-01-06T12:37:55.14388","indexId":"70217123","displayToPublicDate":"2020-09-01T06:34:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7496,"text":"Quaternary Science Research","active":true,"publicationSubtype":{"id":10}},"title":"Sea surface temperature across the Subarctic North Pacific and marginal seas through the past 20,000 years: A paleoceanographic synthesis","docAbstract":"<p><span>Deglacial sea surface conditions in the subarctic North Pacific and marginal seas are the subject of increasing interest in paleoceanography. However, a cohesive picture of near-surface oceanography from which to compare inter and intra-regional variability through the last deglaciation is lacking. We present a synthesis of sea surface temperature covering the open North Pacific and its marginal seas, spanning the past 20 ka using proxy records from foraminiferal calcite (δ</span><sup>18</sup><span>O and Mg/Ca) and coccolithophore alkenones (U</span><sup>k’</sup><sub>37</sub><span>). Sea surface temperature proxies tend to be in agreement through the Holocene, though U</span><sup>k’</sup><sub>37</sub><span>&nbsp;records are often interpreted as warmer than adjacent δ</span><sup>18</sup><span>O or Mg/Ca records during the Last Glacial Maximum and early deglaciation. In the Sea of Okhotsk, Holocene discrepancies between δ</span><sup>18</sup><span>O and U</span><sup>k’</sup><sub>37</sub><span>&nbsp;may be the result of changes in near-surface stratification. We find that sea-surface warming occurred prior to the onset of the Bølling-Allerød (14.7 ka) and coincident with the onset of the Holocene (11.7 ka) in much of the North Pacific and Bering Sea. Proxy records also show a cold reversal roughly synchronous with the Younger Dryas (12.9–11.7 ka). After the onset of the Holocene, the influence of an intensified warm Kuroshio Current is evident at higher latitudes in the Western Pacific, and an east-west seesaw in sea surface temperature, likely driven by changes in the strength of the North Pacific Gyre, characterizes the open interglacial North Pacific.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2020.106519","usgsCitation":"Davis, C., Myhre, S., Deutsch, C., Caissie, B., Praetorius, S.K., Borreggine, M., and Thunell, R.C., 2020, Sea surface temperature across the Subarctic North Pacific and marginal seas through the past 20,000 years: A paleoceanographic synthesis: Quaternary Science Research, v. 246, 106519, 13 p., https://doi.org/10.1016/j.quascirev.2020.106519.","productDescription":"106519, 13 p.","ipdsId":"IP-100835","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":455467,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://archimer.ifremer.fr/doc/00646/75814/","text":"External Repository"},{"id":381925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"246","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Catherine V.","contributorId":218296,"corporation":false,"usgs":false,"family":"Davis","given":"Catherine V.","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":807664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myhre, Sarah","contributorId":247328,"corporation":false,"usgs":false,"family":"Myhre","given":"Sarah","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":807665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deutsch, Curtis","contributorId":247330,"corporation":false,"usgs":false,"family":"Deutsch","given":"Curtis","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":807666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caissie, Beth","contributorId":247333,"corporation":false,"usgs":false,"family":"Caissie","given":"Beth","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":807667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Praetorius, Summer K. 0000-0003-2683-3652","orcid":"https://orcid.org/0000-0003-2683-3652","contributorId":206966,"corporation":false,"usgs":true,"family":"Praetorius","given":"Summer","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":807668,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Borreggine, Marisa","contributorId":247337,"corporation":false,"usgs":false,"family":"Borreggine","given":"Marisa","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":807669,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thunell, Robert C.","contributorId":71028,"corporation":false,"usgs":false,"family":"Thunell","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":36280,"text":"Department of Earth and Ocean Sciences, University of South Carolina,","active":true,"usgs":false}],"preferred":false,"id":807670,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70212882,"text":"70212882 - 2020 - Shaping land use change and ecosystem restoration in a water-stressed agricultural landscape to achieve multiple benefits","interactions":[],"lastModifiedDate":"2020-09-02T00:02:05.980548","indexId":"70212882","displayToPublicDate":"2020-08-31T18:58:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6479,"text":"Frontiers in Sustainable Food Systems","active":true,"publicationSubtype":{"id":10}},"title":"Shaping land use change and ecosystem restoration in a water-stressed agricultural landscape to achieve multiple benefits","docAbstract":"<p><span>Irrigated agriculture has grown rapidly over the last 50 years, helping food production keep pace with population growth, but also leading to significant habitat and biodiversity loss globally. Now, in some regions, land degradation and overtaxed water resources mean historical production levels may need to be reduced. We demonstrate how analytically supported planning for habitat restoration in stressed agricultural landscapes can recover biodiversity and create co-benefits during transitions to sustainability. We apply our approach in California's San Joaquin Valley where groundwater regulations are driving significant land use change. We link agricultural-economic and land use change models to generate plausible landscapes with different cropping patterns, including temporary fallowing and permanent retirement. We find that a large fraction of the reduced cultivation is met through temporary fallowing, but still estimate over 86,000 hectares of permanent retirement. We then apply systematic conservation planning to identify optimized restoration solutions that secure at least 10,000 hectares of high quality habitat for each of five representative endangered species, accounting for spatially varying opportunity costs specific to each plausible future landscape. The analyses identified consolidated areas common to all land use scenarios where restoration could be targeted to enhance habitat by utilizing land likely to be retired anyway, and by shifting some retirement from regions with low habitat value to regions with high habitat value. We also show potential co-benefits of retirement (derived from avoided nitrogen loadings and soil carbon sequestration), though these require careful consideration of additionality. Our approach provides a generalizable means to inform multi-benefit adaptation planning in response to agricultural stressors.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/fsufs.2020.00138","usgsCitation":"Bryant, B.P., Kelsey, T.R., Vogl, A.L., Wolny, S.A., MacEwan, D.J., Selmants, P., Biswas, T., and Butterfield, H.S., 2020, Shaping land use change and ecosystem restoration in a water-stressed agricultural landscape to achieve multiple benefits: Frontiers in Sustainable Food Systems, v. 4, 138, 15 p., https://doi.org/10.3389/fsufs.2020.00138.","productDescription":"138, 15 p.","ipdsId":"IP-119117","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":455470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fsufs.2020.00138","text":"Publisher Index Page"},{"id":378080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.00390625,\n              35.04798673426734\n            ],\n            [\n              -118.740234375,\n              36.03133177633187\n            ],\n            [\n              -119.39941406249999,\n              37.125286284966805\n            ],\n            [\n              -120.89355468749999,\n              38.61687046392973\n            ],\n            [\n              -121.83837890625,\n              40.44694705960048\n            ],\n            [\n              -122.34374999999999,\n              40.613952441166596\n            ],\n            [\n              -122.84912109375,\n              40.38002840251183\n            ],\n            [\n              -122.73925781250001,\n              39.06184913429154\n            ],\n            [\n              -121.55273437499999,\n              37.84015683604136\n            ],\n            [\n              -120.78369140624999,\n              37.00255267215955\n            ],\n            [\n              -119.94873046875,\n              35.97800618085566\n            ],\n            [\n              -119.00390625,\n              35.04798673426734\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2020-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Bryant, Benjamin P.","contributorId":239716,"corporation":false,"usgs":false,"family":"Bryant","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":47984,"text":"Woods Institute for the Environment, Stanford University","active":true,"usgs":false}],"preferred":false,"id":797755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelsey, T. 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Scott","contributorId":192141,"corporation":false,"usgs":false,"family":"Butterfield","given":"H.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":797762,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70215667,"text":"70215667 - 2020 - Minimizing the spread of aquatic herpetofaunal pathogens by decontaminating construction equipment","interactions":[],"lastModifiedDate":"2020-10-28T11:46:33.9559","indexId":"70215667","displayToPublicDate":"2020-08-31T16:12:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Minimizing the spread of aquatic herpetofaunal pathogens by decontaminating construction equipment","docAbstract":"Some problems have relatively simple solutions compared to the cost of neglect. Preventing the spread of invasive species and harmful pathogens clinging to construction equipment is one such solution. Here we explain how resource managers and contractors can decontaminate construction and field equipment by cleaning, disinfecting, and drying, thus minimizing the spread of harmful organisms.","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Julian, J.T., Henry, P.F., Drasher, J.M., Michell, K., and Smith, S.A., 2020, Minimizing the spread of aquatic herpetofaunal pathogens by decontaminating construction equipment: Herpetological Review, v. 51, no. 3, p. 472-483.","productDescription":"12 p.","startPage":"472","endPage":"483","ipdsId":"IP-115617","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":379837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379836,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Julian, James T.","contributorId":244030,"corporation":false,"usgs":false,"family":"Julian","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":48803,"text":"Pennsylvania Department of Conservation and Natural Resources, Mira Lloyd Dock Resource Conservation Center","active":true,"usgs":false}],"preferred":false,"id":803093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":803094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drasher, James M.","contributorId":244031,"corporation":false,"usgs":false,"family":"Drasher","given":"James","email":"","middleInitial":"M.","affiliations":[{"id":48804,"text":"Aqua-Terra Environmental","active":true,"usgs":false}],"preferred":false,"id":803095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michell, Kathy","contributorId":176246,"corporation":false,"usgs":false,"family":"Michell","given":"Kathy","email":"","affiliations":[],"preferred":false,"id":803096,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Scott A.","contributorId":244032,"corporation":false,"usgs":false,"family":"Smith","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":803097,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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