{"pageNumber":"308","pageRowStart":"7675","pageSize":"25","recordCount":184769,"records":[{"id":70239261,"text":"gip219 - 2023 - Water Science School [Bookmark]","interactions":[],"lastModifiedDate":"2023-01-26T11:14:36.920065","indexId":"gip219","displayToPublicDate":"2023-01-23T05:30:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"219","displayTitle":"Water Science School [Bookmark]","title":"Water Science School [Bookmark]","docAbstract":"

Introduction 

The U.S. Geological Survey’s online Water Science School is a one-stop shop for water education resources. In addition to sharing images, data, and diagrams, the Water Science School provides lesson plans for teachers as well as multiple interactive activities for students, such as questionnaires, calculators, and quizzes. This bookmark introduces Drippy, the Water Science School mascot, and shares fun facts about water that can also be found on our website at https://www.usgs.gov/water-science-school.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip219","usgsCitation":"Gross, T.A., 2023, Water Science School [bookmark]: U.S. Geological Survey General Information Product 219, https://doi.org/10.3133/gip219.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-142449","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":411628,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/219/gip219.pdf","text":"Report","size":"135 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 219"},{"id":411627,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/219/coverthb5.jpg"}],"contact":"

Integrated Information Dissemination Division
Water Resource Mission Area
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
water-science-school@usgs.gov

","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-01-23","noUsgsAuthors":false,"publicationDate":"2023-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Gross, Tara A. 0000-0003-0161-3434","orcid":"https://orcid.org/0000-0003-0161-3434","contributorId":213236,"corporation":false,"usgs":true,"family":"Gross","given":"Tara","email":"","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860944,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70256546,"text":"70256546 - 2023 - Using the gut microbiome to assess stocking efforts of the endangered Pallid Sturgeon, Scaphirhynchus albus","interactions":[],"lastModifiedDate":"2024-08-22T15:12:09.050128","indexId":"70256546","displayToPublicDate":"2023-01-22T10:00:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10135,"text":"Life","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Using the gut microbiome to assess stocking efforts of the endangered Pallid Sturgeon, Scaphirhynchus albus","title":"Using the gut microbiome to assess stocking efforts of the endangered Pallid Sturgeon, Scaphirhynchus albus","docAbstract":"

The endangered Pallid Sturgeon, Scaphirhynchus albus, has been actively managed to prevent population declines, including stocking of hatchery-raised fish. The gut microbiome plays an innate role in an organism’s absorption of nutrients by increasing nutrient availability and can provide new insights for Pallid Sturgeon management. In this study, the Pallid Sturgeon’s microbiome is dominated by the phyla Proteobacteria, Firmicutes, Actinobacteria and Fusobacteria. It was also determined that the gut bacterial diversity in hatchery-raised Pallid Sturgeon was not significantly different from wild Pallid Sturgeon, supporting that hatchery-raised Pallid Sturgeon are transitioning effectively to wild diets. There is also a high degree of intraspecific variation in the bacterial and eukaryotic sequences amongst individual Pallid Sturgeon microbiomes, suggesting the Pallid Sturgeon may be omnivorous. This study demonstrated that genetic markers may be used to effectively describe the dietary requirements for wild Pallid Sturgeon and provides the first genetic evidence that Pallid Sturgeons are effectively transitioning from hatchery-raised environments to the wild.

","language":"English","publisher":"MDPI","doi":"10.3390/life13020309","usgsCitation":"Gaughan, S., Kyndt, J.A., Haas, J., Steffensen, K.D., Kocovsky, P.M., and Pope, K.L., 2023, Using the gut microbiome to assess stocking efforts of the endangered Pallid Sturgeon, Scaphirhynchus albus: Life, v. 13, no. 2, 309, 15 p., https://doi.org/10.3390/life13020309.","productDescription":"309, 15 p.","ipdsId":"IP-144575","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true}],"links":[{"id":444743,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3390/life13020309","text":"Publisher Index Page"},{"id":433063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.56389198609394,\n 39.317382159561134\n ],\n [\n -94.50283653281684,\n 38.94572604735089\n ],\n [\n -93.11351504212112,\n 39.07447226796772\n ],\n [\n -92.4167698712432,\n 38.548616440710276\n ],\n [\n -90.20851799470084,\n 38.46490566228704\n ],\n [\n -90.21340630692228,\n 38.77147554245204\n ],\n [\n -91.99005081923923,\n 38.93927510299582\n ],\n [\n -92.53198669665555,\n 39.24462103654996\n ],\n [\n -93.15542850854091,\n 39.439470504221276\n ],\n [\n -94.56389198609394,\n 39.317382159561134\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Gaughan, Sarah","contributorId":341081,"corporation":false,"usgs":false,"family":"Gaughan","given":"Sarah","email":"","affiliations":[{"id":81699,"text":"Bellevue University","active":true,"usgs":false}],"preferred":false,"id":907915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kyndt, John A.","contributorId":341082,"corporation":false,"usgs":false,"family":"Kyndt","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":81699,"text":"Bellevue University","active":true,"usgs":false}],"preferred":false,"id":907916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haas, Justin D.","contributorId":341083,"corporation":false,"usgs":false,"family":"Haas","given":"Justin D.","affiliations":[{"id":17640,"text":"Nebraska Game and Parks Commission","active":true,"usgs":false}],"preferred":false,"id":907917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steffensen, Kirk D.","contributorId":196924,"corporation":false,"usgs":false,"family":"Steffensen","given":"Kirk","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":907918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true}],"preferred":true,"id":907919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pope, Kevin L. 0000-0003-1876-1687","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":270762,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":907920,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70239884,"text":"70239884 - 2023 - Bioenergetics model for the nonnative Redside Shiner","interactions":[],"lastModifiedDate":"2023-03-01T17:13:23.018047","indexId":"70239884","displayToPublicDate":"2023-01-22T06:33:48","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Bioenergetics model for the nonnative Redside Shiner","docAbstract":"

Objective

Redside Shiner Richardsonius balteatus has expanded from its native range in the Pacific Northwest region of North America to establish populations in six other western states. This expansion has fueled concerns regarding competition between Redside Shiner and native species, including salmonids. We developed a bioenergetic model for Redside Shiner, providing a powerful tool to quantify its trophic role in invaded ecosystems and evaluate potential impacts on native species.

Methods

Mass- and temperature-dependent functions for consumption and respiration were fit based on controlled laboratory experiments of maximum consumption rates and routine metabolic rates using intermittent-flow respirometry, across a range of fish sizes (0.6–27.3 g) and temperatures (5–31°C). Laboratory growth experiments were conducted to corroborate model performance across different temperatures and feeding rates.

Result

Initial bioenergetic simulations of long-term growth experiments indicated large model error for predicted consumption and growth, and deviations from observed responses varied systematically as a function of daily consumption rate (J·g−1·d−1) and water temperature. A growth rate error correction function was developed and included in the bioenergetics model framework on a daily time step, resulting in decreased absolute model error in all experimental groups. Predicted values from the corrected model were highly correlated with observed values (�2; consumption = 0.97, final weight = 0.99) and unbiased. These results show that the optimal temperature for Redside Shiner growth (18°C) exceeds that of Pacific salmon Oncorhynchus spp. by 2–6°C under a scenario of high food availability and moderate food quality.

Conclusion

Consequently, increases in water temperature associated with climate change may favor growth and expansion of Redside Shiner populations, while negatively affecting some salmonids. The bioenergetics model presented here provides the necessary first step in quantifying trophic impacts in sensitive ecosystems where Redside Shiner have invaded or in ecosystems where anadromous salmonid reintroductions are being considered.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10392","usgsCitation":"Johnson, R.C., Beauchamp, D., and Olden, J., 2023, Bioenergetics model for the nonnative Redside Shiner: Transactions of the American Fisheries Society, v. 152, no. 1, p. 94-113, https://doi.org/10.1002/tafs.10392.","productDescription":"20 p.","startPage":"94","endPage":"113","ipdsId":"IP-140159","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":444746,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10392","text":"Publisher Index Page"},{"id":435494,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NAIACL","text":"USGS data release","linkHelpText":"Data used to parameterize and evaluate a bioenergetics model for Redside Shiner (Richardsonius balteatus)"},{"id":412271,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"152","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Rachelle Carina 0000-0003-1480-4088","orcid":"https://orcid.org/0000-0003-1480-4088","contributorId":241962,"corporation":false,"usgs":true,"family":"Johnson","given":"Rachelle","email":"","middleInitial":"Carina","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":862274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beauchamp, David 0000-0002-3592-8381","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":217816,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":862275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":862276,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266472,"text":"70266472 - 2023 - Habitat selection of a migratory freshwater fish in response to seasonal hypoxia as revealed by acoustic telemetry","interactions":[],"lastModifiedDate":"2025-05-07T18:10:32.226189","indexId":"70266472","displayToPublicDate":"2023-01-21T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Habitat selection of a migratory freshwater fish in response to seasonal hypoxia as revealed by acoustic telemetry","docAbstract":"

Adaptive efforts to achieve water quality objectives by modifying nutrient loading can have attendant impacts on fish habitats and fisheries. Thus, coordinating fishery and water quality management depends on knowledge of fish behavioral responses to habitat change. This study combined acoustic telemetry of fish with water quality modeling to understand how water quality management might impact fishery management. We examined habitat use of a native demersal fish, lake whitefish Coregonus clupeaformis, in Lake Erie. We focused on the summer stratified period when habitat was expected to be most limiting and used a forecast model to predict temperature and oxygen in the hypolimnion when fish were detected. As hypothesized, lake whitefish occupied a subset of available conditions with occupied habitats characterized by a cool, normoxic, hypolimnion. On some occasions fish were detected when the hypolimnion was predicted to be hypoxic, suggesting that fish were either displaced vertically or horizontally into marginal habitats or uncertainty in model predictions was high. Still, when hypolimnetic conditions were hypoxic, fish tended to move toward normoxia as expected, but when initial conditions were cold with high dissolved oxygen, fish movements were toward lower oxygen (but still normoxic) conditions. We also observed a high affinity for fish to remain near the southern shore in eastern Ohio, Pennsylvania, and New York. If current nutrient reduction objectives are achieved and the extent and severity of hypoxia is reduced, an expansion of lake whitefish habitat and distribution may have significance to the spatial regulation of fishing effort in Lake Erie.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2023.01.004","usgsCitation":"Kraus, R., Cook, H., Faust, M., Schmitt, J., Rowe, M., and Vandergoot, C., 2023, Habitat selection of a migratory freshwater fish in response to seasonal hypoxia as revealed by acoustic telemetry: Journal of Great Lakes Research, v. 49, no. 5, p. 1004-1014, https://doi.org/10.1016/j.jglr.2023.01.004.","productDescription":"11 p.","startPage":"1004","endPage":"1014","ipdsId":"IP-144704","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":485514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, New York, Ohio, Pennsylvania","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.45746247368997,\n 42.19332204270543\n ],\n [\n -83.58088952321158,\n 41.37751990998936\n ],\n [\n -81.36793483137687,\n 41.36610477953545\n ],\n [\n -79.12723694634781,\n 42.41574902379864\n ],\n [\n -78.7500162167698,\n 43.007471194229566\n ],\n [\n -81.13424345938826,\n 42.76252432461877\n ],\n [\n -82.2940150129951,\n 42.35073159163453\n ],\n [\n -83.45746247368997,\n 42.19332204270543\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":936069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, H. Andrew","contributorId":354648,"corporation":false,"usgs":false,"family":"Cook","given":"H. Andrew","affiliations":[{"id":65742,"text":"Ontario Ministry of Northern Development, Mines, Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":936070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faust, Matthew D.","contributorId":354649,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew D.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":936071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":936072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rowe, Mark D.","contributorId":354650,"corporation":false,"usgs":false,"family":"Rowe","given":"Mark D.","affiliations":[{"id":34438,"text":"NOAA-GLERL","active":true,"usgs":false}],"preferred":false,"id":936073,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vandergoot, Christopher S.","contributorId":354651,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":936074,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70239845,"text":"70239845 - 2023 - Appendix D: Synthesis element 1 (revised): Water temperature effects on fisheries and stream health in nontidal waters","interactions":[],"lastModifiedDate":"2026-03-18T16:06:37.364881","indexId":"70239845","displayToPublicDate":"2023-01-20T11:03:04","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesNumber":"23-001","title":"Appendix D: Synthesis element 1 (revised): Water temperature effects on fisheries and stream health in nontidal waters","docAbstract":"

A limited review of relevant scientific literature related to temperature sensitivities of fish species, stream health indicators, and any related geospatial information was conducted.  Based on this review, we provide a syntheses of information related to nontidal waters in the Chesapeake Bay Rising stream temperatures will have a range of impacts on nontidal aquatic ecosystems. Cold headwaters and associated species like brook trout and sculpin are especially vulnerable to higher stream temperatures. Efforts could be taken to identify and protect high quality resilient cold headwater brook trout (Salvelinus fontinalis) habitat. More information on groundwater impacts on stream temperatures and ecologically relevant temperature thresholds for species of concern could help resource managers identify temperature resilient habitats and populations. A vulnerability assessment could be valuable to better understand the drivers and stressors of rising stream temperatures, their effects on aquatic resources, and the risk to fish and other aquatic species.  Further research could help in developing and fully vetting a complete list of cold/cool water benthic macroinvertebrate taxa and freshwater mussel taxa that are vulnerable to temperature change in the Chesapeake watershed. 

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Rising watershed and bay water temperatures— Ecological implications and management responses","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Chesapeake Bay Program STAC","usgsCitation":"Faulkner, S., Borsuk, F., Pond, G., Krause, K., Fanelli, R.M., Cashman, M.J., Hitt, N.P., and Letcher, B., 2023, Appendix D: Synthesis element 1 (revised): Water temperature effects on fisheries and stream health in nontidal waters.","startPage":"D-1","endPage":"D-25","ipdsId":"IP-145529","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":501259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501258,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.chesapeake.org/stac/document-library/rising-watershed-and-bay-water-temperatures-ecological-implications-and-management-responses/"}],"country":"25 p.","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Faulkner, Stephen 0000-0001-5295-1383 faulkners@usgs.gov","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":146152,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","email":"faulkners@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":862116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borsuk, Frank","contributorId":301126,"corporation":false,"usgs":false,"family":"Borsuk","given":"Frank","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":862117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pond, Greg","contributorId":238186,"corporation":false,"usgs":false,"family":"Pond","given":"Greg","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":862118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krause, Kevin","contributorId":301127,"corporation":false,"usgs":false,"family":"Krause","given":"Kevin","affiliations":[{"id":65315,"text":"MN DNR","active":true,"usgs":false}],"preferred":false,"id":862119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fanelli, Rosemary M. 0000-0002-0874-1925 rfanelli@usgs.gov","orcid":"https://orcid.org/0000-0002-0874-1925","contributorId":199822,"corporation":false,"usgs":true,"family":"Fanelli","given":"Rosemary","email":"rfanelli@usgs.gov","middleInitial":"M.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862120,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cashman, Matthew J. 0000-0002-6635-4309","orcid":"https://orcid.org/0000-0002-6635-4309","contributorId":203315,"corporation":false,"usgs":true,"family":"Cashman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":862121,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":862122,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Letcher, Benjamin 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":169305,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":862123,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70253916,"text":"70253916 - 2023 - Product specification document for dynamic surface water extent from Harmonized Landsat and Sentinel-2","interactions":[],"lastModifiedDate":"2024-05-03T15:37:18.030859","indexId":"70253916","displayToPublicDate":"2023-01-20T10:34:26","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"JPL D-107395, Rev - Preliminary","title":"Product specification document for dynamic surface water extent from Harmonized Landsat and Sentinel-2","docAbstract":"

The primary purpose of this document is to convey product specifications of the OPERA (Observational Products for End-users from Remote-sensing Analysis) Level-3 Dynamic Surface Water Extent (DSWx) product that uses Harmonized Landsat-8 and Sentinel-2A/B (HLS) as the primary image-based inputs. This product, referred to by the short name DSWx-HLS, will be generated by the OPERA Data System (SDS). It will be openly distributed by NASA’s Physical Oceanography Distributed Active Archive Center (PO.DAAC).

","language":"English","publisher":"NASA","usgsCitation":"Jones, J., and Shiroma, G., 2023, Product specification document for dynamic surface water extent from Harmonized Landsat and Sentinel-2, 28 p.","productDescription":"28 p.","ipdsId":"IP-141277","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":428344,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://podaac.jpl.nasa.gov/dataset/OPERA_L3_DSWX-HLS_PROVISIONAL_V0","linkFileType":{"id":5,"text":"html"}},{"id":428362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":900099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shiroma, G. 0000-0002-7753-1876","orcid":"https://orcid.org/0000-0002-7753-1876","contributorId":336189,"corporation":false,"usgs":false,"family":"Shiroma","given":"G.","affiliations":[{"id":27365,"text":"NASA Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":900100,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70239747,"text":"sir20225107 - 2023 - Using Global Fiducials Library high-resolution imagery, commercial satellite imagery, Landsat and Sentinel satellite imagery, and aerial photography to monitor change at East Timbalier Island, Louisiana, 1953–2021","interactions":[],"lastModifiedDate":"2026-02-23T19:32:52.536466","indexId":"sir20225107","displayToPublicDate":"2023-01-20T10:30:00","publicationYear":"2023","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":"2022-5107","displayTitle":"Using Global Fiducials Library High-Resolution Imagery, Commercial Satellite Imagery, Landsat and Sentinel Satellite Imagery, and Aerial Photography to Monitor Change at East Timbalier Island, Louisiana, 1953–2021","title":"Using Global Fiducials Library high-resolution imagery, commercial satellite imagery, Landsat and Sentinel satellite imagery, and aerial photography to monitor change at East Timbalier Island, Louisiana, 1953–2021","docAbstract":"This report documents morphological changes between 1953 and 2021 at East Timbalier Island, Louisiana, a Gulf of Mexico barrier island. East Timbalier Island, which was located west of the Mississippi River Delta at the front of Timbalier Bay, was one of the most rapidly changing barrier islands on Earth. Since aerial photographs were initially taken in 1953, the Island steadily lost length and area, finally eroding away by early summer 2021. After major storm events, sediment eroded from the Island and migrated hundreds of meters north. In August 1992, Hurricane Andrew breached the Island in several places, resulting in increased erosion and land loss. Until it completely eroded away, the Island underwent a cycle of washovers, vegetation removal, breaching, and erosion with sediment transport to the north. Satellite imagery shows that three such cycles occurred between 1992 and 2017, despite the partial restoration of the Island between 1998 and 2000. Each cycle increased the distance between the Island and the mainland to the east, reducing both the sediment supply from the east and the protection that Timbalier Bay and the adjacent coastal lands received from the barrier island.\n\nPreviously, the U.S. Geological Survey (USGS) National Civil Applications Center used 1-meter resolution imagery archived at the USGS Global Fiducials Library (GFL), collected between 2000 and 2010 by U.S. National Imaging Systems, to monitor the changes at the Island. New research expands this study retrospectively and prospectively using aerial photography collected from 1953 to 2012 and in 2020; declassified imagery collected in 1962, 1972, and 1975; DigitalGlobe satellite imagery collected since 2004; Landsat satellite imagery collected since 1972; Sentinel–2 satellite imagery collected since 2015; and GFL imagery collected from 1991 to 2020.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225107","isbn":"978-1-4113-4511-9","programNote":"Core Science Systems and the National Civil Applications Center","usgsCitation":"Fisher, G.B., Slonecker, E.T., Dilles, S.J., Molnia, B.F., and Angeli, K.M., 2023, Using Global Fiducials Library high-resolution imagery, commercial satellite imagery, Landsat and Sentinel satellite imagery, and aerial photography to monitor change at East Timbalier Island, Louisiana, 1953–2021 (ver. 1.1, May 2023): U.S. Geological Survey Scientific Investigations Report 2022–5107, 61 p., https://doi.org/10.3133/sir20225107.","productDescription":"Report: vii, 61 p.; Data Release","numberOfPages":"61","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-123372","costCenters":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"links":[{"id":411976,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O71HYS","text":"USGS data release","linkHelpText":"Six decades of change at East Timbalier Island, Louisiana"},{"id":411971,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5107/coverthb2.jpg"},{"id":416780,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2022/5107/versionHist.txt","size":"4.31 KB","linkFileType":{"id":2,"text":"txt"}},{"id":411972,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5107/sir20225107.pdf","text":"Report","size":"150 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5107"},{"id":411975,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5107/images/"},{"id":500455,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114279.htm","linkFileType":{"id":5,"text":"html"}},{"id":411974,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5107/sir20225107.XML"}],"country":"United States","state":"Louisiana","otherGeospatial":"East Timbalier Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.4,\n 29.125\n ],\n [\n -90.4,\n 29.033\n ],\n [\n -90.233,\n 29.033\n ],\n [\n -90.233,\n 29.125\n ],\n [\n -90.4,\n 29.125\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: January 2023; Version 1.1: May 2023","contact":"

Director, National Civil Applications Center
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 562
Reston, VA 20192

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-01-20","revisedDate":"2023-05-08","noUsgsAuthors":false,"publicationDate":"2023-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Fisher, Gary B. 0000-0001-8777-0216 gtfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-8777-0216","contributorId":215627,"corporation":false,"usgs":true,"family":"Fisher","given":"Gary","email":"gtfisher@usgs.gov","middleInitial":"B.","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":true,"id":861731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slonecker, E. Terrence 0000-0002-5793-0503 tslonecker@usgs.gov","orcid":"https://orcid.org/0000-0002-5793-0503","contributorId":168591,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.","email":"tslonecker@usgs.gov","middleInitial":"Terrence","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":861732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dilles, Shawn J. 0000-0003-0341-7728","orcid":"https://orcid.org/0000-0003-0341-7728","contributorId":301012,"corporation":false,"usgs":true,"family":"Dilles","given":"Shawn","email":"","middleInitial":"J.","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":true,"id":861733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Molnia, Bruce F. 0000-0001-8102-6269","orcid":"https://orcid.org/0000-0001-8102-6269","contributorId":301013,"corporation":false,"usgs":true,"family":"Molnia","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":true,"id":861734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angeli, Kim M. 0000-0003-2427-3241 kangeli@usgs.gov","orcid":"https://orcid.org/0000-0003-2427-3241","contributorId":238809,"corporation":false,"usgs":true,"family":"Angeli","given":"Kim","email":"kangeli@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":861735,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240774,"text":"70240774 - 2023 - A 1.2 billion pixel human-labeled dataset for data-driven classification of coastal environments","interactions":[],"lastModifiedDate":"2023-02-22T13:23:47.409683","indexId":"70240774","displayToPublicDate":"2023-01-20T07:21:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"A 1.2 billion pixel human-labeled dataset for data-driven classification of coastal environments","docAbstract":"

The world’s coastlines are spatially highly variable, coupled-human-natural systems that comprise a nested hierarchy of component landforms, ecosystems, and human interventions, each interacting over a range of space and time scales. Understanding and predicting coastline dynamics necessitates frequent observation from imaging sensors on remote sensing platforms. Machine Learning models that carry out supervised (i.e., human-guided) pixel-based classification, or image segmentation, have transformative applications in spatio-temporal mapping of dynamic environments, including transient coastal landforms, sediments, habitats, waterbodies, and water flows. However, these models require large and well-documented training and testing datasets consisting of labeled imagery. We describe “Coast Train,” a multi-labeler dataset of orthomosaic and satellite images of coastal environments and corresponding labels. These data include imagery that are diverse in space and time, and contain 1.2 billion labeled pixels, representing over 3.6 million hectares. We use a human-in-the-loop tool especially designed for rapid and reproducible Earth surface image segmentation. Our approach permits image labeling by multiple labelers, in turn enabling quantification of pixel-level agreement over individual and collections of images.

","language":"English","publisher":"Nature","doi":"10.1038/s41597-023-01929-2","usgsCitation":"Buscombe, D.D., Wernette, P., Fitzpatrick, S., Favela, J., Goldstein, E.B., and Enwright, N., 2023, A 1.2 billion pixel human-labeled dataset for data-driven classification of coastal environments: Scientific Data, v. 10, 46, 18 p., https://doi.org/10.1038/s41597-023-01929-2.","productDescription":"46, 18 p.","ipdsId":"IP-136940","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444749,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-023-01929-2","text":"Publisher Index Page"},{"id":413278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2023-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":864788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wernette, Phillipe Alan 0000-0002-8902-5575","orcid":"https://orcid.org/0000-0002-8902-5575","contributorId":259274,"corporation":false,"usgs":true,"family":"Wernette","given":"Phillipe Alan","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":864789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzpatrick, Sharon 0000-0001-6513-9132","orcid":"https://orcid.org/0000-0001-6513-9132","contributorId":288329,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"Sharon","email":"","affiliations":[{"id":39151,"text":"California State University Sacramento","active":true,"usgs":false}],"preferred":false,"id":864790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Favela, Jaycee 0000-0001-9175-8324","orcid":"https://orcid.org/0000-0001-9175-8324","contributorId":288328,"corporation":false,"usgs":false,"family":"Favela","given":"Jaycee","email":"","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":864791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldstein, Evan B. 0000-0001-9358-1016","orcid":"https://orcid.org/0000-0001-9358-1016","contributorId":184210,"corporation":false,"usgs":false,"family":"Goldstein","given":"Evan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":864792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":216198,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":864793,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70239834,"text":"70239834 - 2023 - Persistence and quality of vegetation cover in expired Conservation Reserve Program fields","interactions":[],"lastModifiedDate":"2023-01-23T13:19:56.537561","indexId":"70239834","displayToPublicDate":"2023-01-20T07:14:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Persistence and quality of vegetation cover in expired Conservation Reserve Program fields","docAbstract":"

For nearly 40 years, the Conservation Reserve Program (CRP) has implemented practices to reduce soil erosion, improve water quality, and provide habitat for wildlife and pollinators on highly erodible cropland in the United States. However, an approximately 40,470 ha (10 million acres) decline in enrolled CRP land over the last decade has greatly reduced the program's environmental benefits. We sought to assess the program's enduring benefits in the central and western United States by (1) determining the proportion of fields that persist in CRP cover after contracts expired, (2) identifying the type of agricultural production that CRP fields shift to after contract expiration, (3) comparing the vegetation characteristics of expired CRP fields that are persisting in CRP-type cover with enrolled CRP fields, and (4) identifying differences in management activities (e.g., haying, grazing) between expired and enrolled CRP fields. We conducted edge-of-field vegetation cover surveys in 1092 CRP fields with contracts that expired ≥3 years prior and 1786 currently enrolled CRP fields in 14 states. We found that 41% of expired CRP fields retained at least half of their area in CRP-type cover, with significant variation in persistence among regions ranging from 19% to 84%. When expired fields retained CRP vegetation, bare ground was low in all regions and grass cover was somewhat greater than in fields with current CRP contracts, but at the expense of forb cover in some regions. Evidence of more frequent management in expired CRP fields may explain differences between active and expired CRP fields. Overall, there is clear evidence that CRP-type cover frequently persists and provides benefits for more than three years after contract expiration. Retaining CRP-type cover, post-contract, is an under-recognized program benefit that persists across the central and western United States long after the initial retirement from cropland.

","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4359","usgsCitation":"Vandever, M.W., Elgersma, K., Carter, S.K., Wen, A., Welty, J.L., Arkle, R., Assal, T.J., Pilliod, D., Mushet, D., and Iovanna, R., 2023, Persistence and quality of vegetation cover in expired Conservation Reserve Program fields: Ecosphere, v. 14, no. 1, e4359, 13 p., https://doi.org/10.1002/ecs2.4359.","productDescription":"e4359, 13 p.","ipdsId":"IP-135172","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":444752,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4359","text":"Publisher Index Page"},{"id":412212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126.70036414405601,\n 50.11130529895013\n ],\n [\n -126.70036414405601,\n 30.993870336566033\n ],\n [\n -90.34717679310864,\n 30.993870336566033\n ],\n [\n -90.34717679310864,\n 50.11130529895013\n ],\n [\n -126.70036414405601,\n 50.11130529895013\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Vandever, Mark W. 0000-0003-0247-2629 vandeverm@usgs.gov","orcid":"https://orcid.org/0000-0003-0247-2629","contributorId":197674,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark","email":"vandeverm@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":862084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elgersma, Kenneth 0000-0001-9012-8590","orcid":"https://orcid.org/0000-0001-9012-8590","contributorId":260896,"corporation":false,"usgs":false,"family":"Elgersma","given":"Kenneth","email":"","affiliations":[{"id":34268,"text":"University of Northern Iowa","active":true,"usgs":false}],"preferred":false,"id":862085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":862086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wen, Ai","contributorId":260897,"corporation":false,"usgs":false,"family":"Wen","given":"Ai","email":"","affiliations":[{"id":34268,"text":"University of Northern Iowa","active":true,"usgs":false}],"preferred":false,"id":862087,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welty, Justin L. 0000-0001-7829-7324 jwelty@usgs.gov","orcid":"https://orcid.org/0000-0001-7829-7324","contributorId":4206,"corporation":false,"usgs":true,"family":"Welty","given":"Justin","email":"jwelty@usgs.gov","middleInitial":"L.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science 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S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":862091,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mushet, David M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":248468,"corporation":false,"usgs":true,"family":"Mushet","given":"David M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":862092,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Iovanna, Rich","contributorId":207528,"corporation":false,"usgs":false,"family":"Iovanna","given":"Rich","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":862093,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70241036,"text":"70241036 - 2023 - Adult spawners: A critical period for subarctic Chinook salmon in a changing climate","interactions":[],"lastModifiedDate":"2023-03-07T13:16:40.081701","indexId":"70241036","displayToPublicDate":"2023-01-20T07:13:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Adult spawners: A critical period for subarctic Chinook salmon in a changing climate","docAbstract":"

Concurrent, distribution-wide abundance declines of some Pacific salmon species, including Chinook salmon (Oncorhynchus tshawytscha), highlights the need to understand how vulnerability at different life stages to climate stressors affects population dynamics and fisheries sustainability. Yukon River Chinook salmon stocks are among the largest subarctic populations, near the northernmost extent of the species range. Existing research suggests that Yukon River Chinook salmon population dynamics are largely driven by factors occurring between the adult spawner life stage and their offspring's first summer at sea (second year post-hatching). However, specific mechanisms sustaining chronic poor productivity are unknown, and there is a tremendous sense of urgency to understand causes, as declines of these stocks have taken a serious toll on commercial, recreational, and indigenous subsistence fisheries. Therefore, we leveraged multiple existing datasets spanning parent and juvenile stages of life history in freshwater and marine habitats. We analyzed environmental data in association with the production of offspring that survive to the marine juvenile stage (juveniles per spawner). These analyses suggest more than 45% of the variability in the production of juvenile Chinook salmon is associated with river temperatures or water discharge levels during the parent spawning migration. Over the past two decades, parents that experienced warmer water temperatures and lower discharge in the mainstem Yukon River produced fewer juveniles per spawning adult. We propose the adult spawner life stage as a critical period regulating population dynamics. We also propose a conceptual model that can explain associations between population dynamics and climate stressors using independent data focused on marine nutrition and freshwater heat stress. It is sobering to consider that some of the northernmost Pacific salmon habitats may already be unfavorable to these cold-water species. Our findings have immediate implications, given the common assumption that northern ranges of Pacific salmon offer refugia from climate stressors.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16610","usgsCitation":"Howard, K.G., and von Biela, V.R., 2023, Adult spawners: A critical period for subarctic Chinook salmon in a changing climate: Global Change Biology, v. 29, no. 7, p. 1759-1773, https://doi.org/10.1111/gcb.16610.","productDescription":"15 p.","startPage":"1759","endPage":"1773","ipdsId":"IP-144795","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":444753,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.16610","text":"Publisher Index Page"},{"id":413762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","otherGeospatial":"Yukon River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -165.92420782235064,\n 61.40053982933364\n ],\n [\n -162.45400186290524,\n 60.67739832113213\n ],\n [\n -158.19311606459894,\n 60.78477893985445\n ],\n [\n -154.8986167360115,\n 62.43448824989312\n ],\n [\n -151.69197072285303,\n 63.13585063076553\n ],\n [\n -147.51893823997577,\n 62.83936034323631\n ],\n [\n -144.31229222681733,\n 62.312282414186996\n ],\n [\n -140.00747977079646,\n 60.65587908539902\n ],\n [\n -137.56955026764183,\n 60.16779183972899\n ],\n [\n -136.18586054963504,\n 60.67739832113213\n ],\n [\n -133.85774769076662,\n 61.982907755461554\n ],\n [\n -135.83444728791903,\n 65.27689483233885\n ],\n [\n -137.45973362335556,\n 66.81028514993417\n ],\n [\n -141.06171955594445,\n 67.84300651865041\n ],\n [\n -147.91427815940622,\n 68.15565948314273\n ],\n [\n -152.5705038771431,\n 67.9256933776901\n ],\n [\n -158.28096938002784,\n 66.87937692037349\n ],\n [\n -162.9811217554793,\n 64.53172110196971\n ],\n [\n -166.1877677686376,\n 62.00439762553259\n ],\n [\n -165.92420782235064,\n 61.40053982933364\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"29","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Howard, Kathrine G.","contributorId":302903,"corporation":false,"usgs":false,"family":"Howard","given":"Kathrine","email":"","middleInitial":"G.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":865786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":865787,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70240426,"text":"70240426 - 2023 - Taxonomic reassessment of the Little pocket mouse, Perognathus longimembris (Rodentia, Heteromyidae) of southern California and northern Baja California","interactions":[],"lastModifiedDate":"2023-02-07T13:07:28.765229","indexId":"70240426","displayToPublicDate":"2023-01-20T07:04:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13293,"text":"Therya","active":true,"publicationSubtype":{"id":10}},"title":"Taxonomic reassessment of the Little pocket mouse, Perognathus longimembris (Rodentia, Heteromyidae) of southern California and northern Baja California","docAbstract":"

The Little pocket mouse (Perognathus longimembris) encompasses 15 to 16 currently recognized subspecies, six of which are restricted to southern California and adjacent northern Baja California.  Using cranial geomorphometric shape parameters and dorsal color variables we delineate six regional groups of populations from this area that we recognize as valid, but these differ in name combination and geographic range from the current taxonomy.  We resurrect two names from their current placement in synonymies, synonymize two currently recognized subspecies, and we reassign a third.  Importantly, we restrict the U. S. Federally endangered Pacific pocket mouse (P. l. pacificus Mearns) to the vicinity of its type locality at the mouth of the Tijuana River in the southwestern corner of San Diego County and resurrect P. l. cantwelli von Bloeker for the other two population segments along the coast, those that span the northwestern corner of San Diego County and adjacent Orange County and that in coastal Los Angeles County.  The name cantwelli would now apply to the only extant populations of the Pacific pocket mouse, a reassignment with obvious management implications.  Our taxonomic decisions also reconfigure the ranges of other subspecies of conservation concern, notably P. l. bangsi Mearns and P. l. brevinasus Osgood.

","language":"English","publisher":"Asociación Mexicana de Mastozoología A. C.","doi":"10.12933/therya-23-2232","usgsCitation":"Patton, J.L., and Fisher, R., 2023, Taxonomic reassessment of the Little pocket mouse, Perognathus longimembris (Rodentia, Heteromyidae) of southern California and northern Baja California: Therya, v. 14, no. 1, p. 131-160, https://doi.org/10.12933/therya-23-2232.","productDescription":"30 p.","startPage":"131","endPage":"160","ipdsId":"IP-147178","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":444755,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.12933/therya-23-2232","text":"Publisher Index Page"},{"id":412806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"California","otherGeospatial":"Baja California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.9160784345668,\n 33.61720988031317\n ],\n [\n -117.9160784345668,\n 29.95921368663892\n ],\n [\n -112.71076949539861,\n 29.95921368663892\n ],\n [\n -112.71076949539861,\n 33.61720988031317\n ],\n [\n -117.9160784345668,\n 33.61720988031317\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Patton, James L.","contributorId":192534,"corporation":false,"usgs":false,"family":"Patton","given":"James","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":863750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863751,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70240244,"text":"70240244 - 2023 - Local weather and endogenous factors affect the initiation of migration in short- and medium-distance songbird migrants","interactions":[],"lastModifiedDate":"2023-04-12T13:39:08.220381","indexId":"70240244","displayToPublicDate":"2023-01-20T06:51:48","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Local weather and endogenous factors affect the initiation of migration in short- and medium-distance songbird migrants","docAbstract":"

Migratory birds employ a variety of mechanisms to ensure appropriate timing of migration based on integration of endogenous and exogenous information. The cues to fatten and depart from the non-breeding area are often linked to exogenous cues such as temperature or precipitation and the endogenous program. Shorter distance migrants should rely heavily on environmental information when initiating migration given relatively close proximity to the breeding area. However, the ability to fatten and subsequently depart may be linked to individual circumstances, including current fuel load and body size. For early and late departing migrants, we investigate effects of temperature, precipitation, lean body mass, fuel load and day of year on the initiation of migration (i.e. fuel load and departure timing) from the non-breeding region by analyzing 21 years of banding data for four species of short- and medium-distance migrants. Temperatures at the non-breeding area were related to temperatures at potential stopover areas. Despite local cues being predictive of conditions further north, the amount variation explained by local weather conditions in our models differed by species and temporal period but was low overall (< 33% variation explained). For each species, we also compared lean body mass and fuel load between early and late departing migrants, which showed mixed results. Our combined results suggest that most individuals migrating short or medium distances in our study did not time the initiation of migration with local predictive cues alone, but rather other factors such as lean body mass, fuel load, day of year, which may be a proxy for the endogenous program, and those beyond the scope of our study also influenced the initiation of migration. Our study contributes to understanding which factors influence departure decisions of short- and medium-distance migrants as they transition from the non-breeding to the migratory phase of the annual cycle.

","language":"English","publisher":"WIley","doi":"10.1111/jav.03029","usgsCitation":"Zenzal, T.J., Johnson, D., Moore, F.R., and Németh, Z., 2023, Local weather and endogenous factors affect the initiation of migration in short- and medium-distance songbird migrants: Journal of Avian Biology, v. 2023, no. 3-4, e03029, 19 p., https://doi.org/10.1111/jav.03029.","productDescription":"e03029, 19 p.","ipdsId":"IP-123356","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444758,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jav.03029","text":"Publisher Index Page"},{"id":412608,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Johnson Bayou","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.68210725720213,\n 29.7684334651279\n ],\n [\n -93.68210725720213,\n 29.747568582284387\n ],\n [\n -93.62446567911294,\n 29.747568582284387\n ],\n [\n -93.62446567911294,\n 29.7684334651279\n ],\n [\n -93.68210725720213,\n 29.7684334651279\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2023","issue":"3-4","noUsgsAuthors":false,"publicationDate":"2023-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Zenzal, Theodore J. Jr. 0000-0001-7342-1373","orcid":"https://orcid.org/0000-0001-7342-1373","contributorId":224399,"corporation":false,"usgs":true,"family":"Zenzal","given":"Theodore","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":863073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":203921,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":863074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Frank R.","contributorId":54582,"corporation":false,"usgs":false,"family":"Moore","given":"Frank","email":"","middleInitial":"R.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":863075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Németh, Zoltán","contributorId":301927,"corporation":false,"usgs":false,"family":"Németh","given":"Zoltán","affiliations":[{"id":38358,"text":"University of Debrecen","active":true,"usgs":false}],"preferred":false,"id":863076,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70241015,"text":"70241015 - 2023 - Redd superimposition mediates the accuracy, precision, and significance of redd counts for cutthroat trout","interactions":[],"lastModifiedDate":"2023-05-01T15:56:41.297888","indexId":"70241015","displayToPublicDate":"2023-01-20T06:42:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Redd superimposition mediates the accuracy, precision, and significance of redd counts for cutthroat trout","docAbstract":"
Redd counts are commonly applied to estimate spawning population size for salmonids and allow for broad spatial and temporal coverage in monitoring efforts. However, the utility of redd counts may be compromised by observation error, particularly with respect to superimposition, where later arriving spawners construct redds overlapping existing redds. Here, we provide a mechanistic evaluation of the effects of superimposition on the error structure and biological significance of redd count data for Yellowstone cutthroat trout (Oncorhynchus clarkii bouvieri) spawning within tributaries to the Snake River, Wyoming. We used a Bayesian framework to parse observation error into distinct components and found low detection of redd clusters (i.e., areas of superimposition) was offset by overestimates of the number of redds per cluster, such that observed counts accurately reflected census redd abundance. However, a saturating relationship between redd counts and spawner abundance indicated that counts is best interpreted as effective reproductive effort rather than spawner abundance. Our results provide a mechanistic understanding of redd count data that can be used to assess their application and interpretation for monitoring.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2022-0267","usgsCitation":"Baldock, J.R., Al-Chokhachy, R., Walsworth, T., and Walters, A.W., 2023, Redd superimposition mediates the accuracy, precision, and significance of redd counts for cutthroat trout: Canadian Journal of Fisheries and Aquatic Sciences, v. 80, no. 5, p. 825-839, https://doi.org/10.1139/cjfas-2022-0267.","productDescription":"15 p.","startPage":"825","endPage":"839","ipdsId":"IP-146232","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":413699,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.90153087500427,\n 44.259294869695594\n ],\n [\n -110.90153087500427,\n 43.1158403473855\n ],\n [\n -109.93514440528531,\n 43.1158403473855\n ],\n [\n -109.93514440528531,\n 44.259294869695594\n ],\n [\n -110.90153087500427,\n 44.259294869695594\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"80","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baldock, Jeffrey R.","contributorId":302888,"corporation":false,"usgs":false,"family":"Baldock","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":865724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":222450,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":865725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsworth, Timothy E.","contributorId":275032,"corporation":false,"usgs":false,"family":"Walsworth","given":"Timothy E.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":865726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":865727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70240467,"text":"70240467 - 2023 - Simulating debris flow and levee formation in the 2D shallow flow model D-Claw: Channelized and unconfined flow","interactions":[],"lastModifiedDate":"2023-11-08T16:47:52.119627","indexId":"70240467","displayToPublicDate":"2023-01-20T06:41:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"Simulating debris flow and levee formation in the 2D shallow flow model D-Claw: Channelized and unconfined flow","docAbstract":"

Debris flow runout poses a hazard to life and infrastructure. The expansion of human population into mountainous areas and onto alluvial fans increases the need to predict and mitigate debris flow runout hazards. Debris flows on unconfined alluvial fans can exhibit spontaneous self-channelization through levee formation that reduces lateral spreading and extends runout distances compared to unchannelized flows. Here we modify the D-Claw shallow flow model in two ways that are hypothesized to generate levees. We evaluate these modifications with observations from a large-scale flume experiment. We investigate model performance when including the effect of two different friction sub-models, as well as the inclusion of segregation effects on granular permeability. Results show that, for a wide range of plausible model input parameters, simulations including the effects of segregation promoted modeled levee formation, whereas simulations without the effects of segregation did not create levees. Further, using a forward predictive framework, simulations with the effects of segregation were more likely to better model the magnitude of debris flow depth and runout distance, whereas simulation timing of the debris flow was affected by the choice of friction sub-model. Our results indicate that including the effects of segregation on granular permeability can improve the likelihood of better predictions of debris flow depth and runout prior to an event occurring.

","language":"English","publisher":"Wiley","doi":"10.1029/2022EA002590","usgsCitation":"Jones, R.P., Rengers, F.K., Barnhart, K.R., George, D.L., Staley, D.M., and Kean, J.W., 2023, Simulating debris flow and levee formation in the 2D shallow flow model D-Claw: Channelized and unconfined flow: Earth and Space Science, v. 10, no. 2, e2022EA002590, 20 p., https://doi.org/10.1029/2022EA002590.","productDescription":"e2022EA002590, 20 p.","ipdsId":"IP-138830","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":444762,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022ea002590","text":"Publisher Index Page"},{"id":412866,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Ryan P. 0000-0001-6363-7592","orcid":"https://orcid.org/0000-0001-6363-7592","contributorId":260774,"corporation":false,"usgs":true,"family":"Jones","given":"Ryan","email":"","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":863871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":863873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":863874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":863872,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":863875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":863876,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70243135,"text":"70243135 - 2023 - Microfaunal recording of recent environmental changes in the Herschel Basin, western Arctic Ocean","interactions":[],"lastModifiedDate":"2023-05-01T11:41:00.124168","indexId":"70243135","displayToPublicDate":"2023-01-20T06:34:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2294,"text":"Journal of Foraminiferal Research","active":true,"publicationSubtype":{"id":10}},"title":"Microfaunal recording of recent environmental changes in the Herschel Basin, western Arctic Ocean","docAbstract":"

Microfaunal assemblages of benthic foraminifera, ostracods, and tintinnids from two marine sediment cores retrieved from the Herschel Basin of the Canadian Beaufort Sea shelf document relationships with environmental parameters such as salinity, sea-ice cover, and turbulence. Cores YC18-HB-GC01 and PG2303-1 were collected at 18 and 32 m water depth, respectively. At these sites, sediment accumulation rates range between 0.6 and 1.7 cm yr–1 allowing a near-annual temporal resolution over the last 50 years. Multivariate analyses indicate that benthic foraminiferal assemblages respond primarily to food supply. Dissimilarities between the microfaunal assemblages of the two cores are mainly the result of bottom water salinity levels linked to water depth. High abundance of the benthic foraminiferal species Elphidium clavatum and occurrences of Elphidium bartletti point to varying, but relatively low, salinities at the shallow core site YC18-HB-GC01, which may be affected by variations in the summer halocline depth. Higher species diversity and more abundant Cassidulina reniforme and Stainforthia feylingi characterize the deeper core PG2303-1, which might reflect more stable conditions and higher bottom-water salinities throughout the studied time interval. The most important microfaunal shift of the last 50 years, observed in the shallower longer core YC18-HB-GC01, occurred at the turn of the 21st century. Prior to ∼2000 CE, the presence of Islandiella norcrossi indicates more stable and saline conditions. Since ∼2000 CE, increased abundances of Haynesina nivea and of the ciliate Tintinnopsis fimbriata suggest decreased salinity and increased turbidity. An increased abundance of Eoeponidella pulchella after ∼2000 CE suggests a concurrent increase in productivity in the last two decades. This shift is nearly synchronous with a decrease in mean summer sea-ice concentration, which can play an important role in bottom water stability on the shelf. Easterly winds can induce a reduction in the sea-ice cover, but also foster a westward spreading of the Mackenzie River plume and the upwelling of nutrient-rich Pacific waters onto the shelf. Both factors would explain the increased freshening and productivity of the Herschel Basin. The last two decades were also marked by a decrease in ostracod abundance that may relate to higher water turbidity. This study shows that combining information from benthic foraminifera, ostracods, and tintinnids provides a comprehensive insight into recent hydrographic/climatic changes in nearshore Arctic habitats, where productivity is critical for the food security of local communities.

","language":"English","publisher":"Cushman Foundation for Foraminiferal Research","doi":"10.2113/gsjfr.53.1.20","usgsCitation":"Falardeau, J., de Vernal, A., Seidenkrantz, M., Cronin, T.M., Gemery, L., Chassiot, L., Fritz, M., Carnero-Bravo, V., Hillaire-Marcel, C., and Archambault, P., 2023, Microfaunal recording of recent environmental changes in the Herschel Basin, western Arctic Ocean: Journal of Foraminiferal Research, v. 53, no. 1, p. 20-48, https://doi.org/10.2113/gsjfr.53.1.20.","productDescription":"29 p.","startPage":"20","endPage":"48","ipdsId":"IP-139398","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":444764,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2113/gsjfr.53.1.20","text":"Publisher Index Page"},{"id":416541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Herschel Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -143.21856333255786,\n 70.21410396637822\n ],\n [\n -143.21856333255786,\n 67.72637680634108\n ],\n [\n -130.5677552045647,\n 67.72637680634108\n ],\n [\n -130.5677552045647,\n 70.21410396637822\n ],\n [\n -143.21856333255786,\n 70.21410396637822\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Falardeau, Jade","contributorId":304648,"corporation":false,"usgs":false,"family":"Falardeau","given":"Jade","email":"","affiliations":[{"id":66138,"text":"Geotop and Département des sciences de la Terre et de l’atmosphère, Université du Québec à Montréal, Montréal, Canada","active":true,"usgs":false}],"preferred":false,"id":871231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Vernal, Anne","contributorId":304649,"corporation":false,"usgs":false,"family":"de Vernal","given":"Anne","affiliations":[{"id":66138,"text":"Geotop and Département des sciences de la Terre et de l’atmosphère, Université du Québec à Montréal, Montréal, Canada","active":true,"usgs":false}],"preferred":false,"id":871232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seidenkrantz, Marit-Solveig","contributorId":304650,"corporation":false,"usgs":false,"family":"Seidenkrantz","given":"Marit-Solveig","affiliations":[{"id":49183,"text":"Department of Geoscience, Aarhus University, Aarhus, Denmark","active":true,"usgs":false}],"preferred":false,"id":871233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cronin, Thomas M. 0000-0001-9522-3992 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-9522-3992","contributorId":304640,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":871234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gemery, Laura 0000-0003-1966-8732","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":245413,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":871235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chassiot, Leo","contributorId":304654,"corporation":false,"usgs":false,"family":"Chassiot","given":"Leo","email":"","affiliations":[],"preferred":false,"id":871242,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fritz, Michael","contributorId":176701,"corporation":false,"usgs":false,"family":"Fritz","given":"Michael","email":"","affiliations":[],"preferred":false,"id":871243,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carnero-Bravo, Vladislav","contributorId":304655,"corporation":false,"usgs":false,"family":"Carnero-Bravo","given":"Vladislav","email":"","affiliations":[],"preferred":false,"id":871244,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hillaire-Marcel, Claude","contributorId":304656,"corporation":false,"usgs":false,"family":"Hillaire-Marcel","given":"Claude","email":"","affiliations":[],"preferred":false,"id":871245,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Archambault, Philippe","contributorId":304657,"corporation":false,"usgs":false,"family":"Archambault","given":"Philippe","email":"","affiliations":[],"preferred":false,"id":871246,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70240339,"text":"70240339 - 2023 - Invaders at the doorstep: Using species distribution modeling to enhance invasive plant watch lists","interactions":[],"lastModifiedDate":"2023-02-06T14:54:44.633492","indexId":"70240339","displayToPublicDate":"2023-01-19T08:49:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Invaders at the doorstep: Using species distribution modeling to enhance invasive plant watch lists","docAbstract":"

Watch lists of invasive species that threaten a particular land management unit are useful tools because they can draw attention to invasive species at the very early stages of invasion when early detection and rapid response efforts are often most successful. However, watch lists typically rely on the subjective selection of invasive species by experts or on the use of spotty occurrence records. Further, incomplete records of invasive plant occurrences bias these watch lists towards the inclusion of invasive plant species that may already be present in a land management unit, because the occurrences have not been formally integrated into publicly accessible biodiversity databases. However, these problems may be overcome by an iterative approach that guides more complete detection and compilation of invasive plant species records within land management units. To address issues from unobserved or unrecorded occurrences, we combined predicted suitable habitat from species distribution models and aggregated invasive plant occurrence records to develop ranked watch lists of 146 priority invasive plant species on >4000 land management units from five different administrative types within the United States. Based on this analysis, we determined that on average 84% of priority invasive plants with suitable habitat within a given land management unit were as yet unobserved, and that 41% of those were ‘doorstep species’ – found within 50 miles of the unit boundary yet not detected within the unit. Two case studies, developed in collaboration with staff at U.S. Fish and Wildlife Service Refuges, showed that by combining both habitat suitability models and invasive plant occurrence records, we could identify additional problematic invasive plants that had been previously overlooked. Model-based watch lists of ‘doorstep species’ are useful tools because they can objectively alert land managers to threats from invasive plants with high likelihood of establishment.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2023.101997","usgsCitation":"Jarnevich, C.S., Engelstad, P., LaRoe, J., Hays, B., Hogan, T., Jirak, J., Pearse, I.S., Prevey, J.S., Sieraki, J., Simpson, A., Wenick, J., Young, N., and Sofaer, H., 2023, Invaders at the doorstep: Using species distribution modeling to enhance invasive plant watch lists: Ecological Informatics, v. 75, 101997, 8 p., https://doi.org/10.1016/j.ecoinf.2023.101997.","productDescription":"101997, 8 p.","ipdsId":"IP-145316","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":412734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"contiguous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n 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Nicholas","contributorId":279993,"corporation":false,"usgs":false,"family":"Young","given":"Nicholas","affiliations":[{"id":7230,"text":"Natural Resource Ecology Laboratory, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":863477,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sofaer, Helen 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":863478,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70239837,"text":"70239837 - 2023 - Trends in tree cover change over three decades related to interannual climate variability and wildfire in California","interactions":[],"lastModifiedDate":"2023-01-23T13:25:40.635476","indexId":"70239837","displayToPublicDate":"2023-01-19T07:22:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Trends in tree cover change over three decades related to interannual climate variability and wildfire in California","docAbstract":"

The U.S. State of California has experienced frequent drought events, hotter temperatures and other disruptions to the climate system whose effects on ecosystems have been widely reported in recent decades. Studies primarily confined to specific vegetation communities or species, individual drought incidents, or analysis over a relatively short intervals, has limited our understanding of the broad-scale effects on tree cover and the spatiotemporal variability of effects across broader regions. We focused analysis on multi-annual land cover and land surface change to assess patterns and trends in tree cover loss in tree-dominated Californian ecoregions from 1986 to 2019. The top three years of total tree cover loss for the state were 2018 (1901 km2), 2015 (1556 km2), and 2008 (1549 km2). Overall, annual tree cover loss had upward trends. Tree cover loss rapidly surged later in the study period and was apparently driven by climate stress and wildfires. Underlying geographic variability was apparent in both non-fire and fire-related tree cover loss that sharply increased during hotter multi-year droughts. The increasingly hotter and drier climate conditions were associated with significant increases in fire-induced mortality. Our findings indicate that a possible effect of future hotter and drier climate would lead to further tree cover loss, thereby endangering California's ecosystem goods and services. Geographic variability in tree cover trends indicates that ecoregion-specific mitigation and adaptation strategies would be useful to conserve the region's forest resources. Such strategies may benefit from consideration of historical disturbances, ecoregion's sensitivity to disturbance types, as well as potential ecoregion-specific climate-vegetation-fire feedbacks.

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\"}}]}","volume":"18","noUsgsAuthors":false,"publicationDate":"2023-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Dwomoh, Francis K 0000-0002-5054-2276","orcid":"https://orcid.org/0000-0002-5054-2276","contributorId":260864,"corporation":false,"usgs":false,"family":"Dwomoh","given":"Francis","email":"","middleInitial":"K","affiliations":[{"id":52693,"text":"ASRC Federal","active":true,"usgs":false}],"preferred":false,"id":862094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Auch, Roger F. 0000-0002-5382-5044 auch@usgs.gov","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":667,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","email":"auch@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":862095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":862096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tollerud, Heather J. 0000-0001-9507-4456","orcid":"https://orcid.org/0000-0001-9507-4456","contributorId":210820,"corporation":false,"usgs":true,"family":"Tollerud","given":"Heather","email":"","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":862097,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70242891,"text":"70242891 - 2023 - Climate change hotspots and implications for the global subsea telecommunications network","interactions":[],"lastModifiedDate":"2023-04-21T12:04:18.566776","indexId":"70242891","displayToPublicDate":"2023-01-19T07:02:58","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14252,"text":"Earth Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Climate change hotspots and implications for the global subsea telecommunications network","docAbstract":"

A global network of subsea telecommunications cables underpins our daily lives, enabling >95% of global digital data transfer, $trillions/day in financial trading, and providing critical communications links, particularly to remote, low-income countries. Despite their importance, subsea cables and their landing stations are vulnerable to damage by natural hazards, including storm surges, waves, cyclones, earthquakes, floods, volcanic eruptions, submarine landslides and ice scour. However, the likelihood or recurrence interval of many of these types of events will likely change under future projected climate change scenarios, compounded by sea-level rise; potentially increasing hazard severity, creating previously unanticipated hazards, or hazards may shift to new locations during the 20–30-year operational life of cable systems. To date, no study has assessed the wide-reaching impacts of future climate change on subsea cables and landing stations on a global scale. Here, for the first time we synthesize the current evidence base, based on published peer-reviewed datasets, to fill this crucial knowledge gap, specifically to assess how and where future climate change is likely to impact subsea cables and their shore-based infrastructure. We find that ocean conditions are highly likely to change on a global basis as a result of climate change, but the feedbacks and links between climate change, natural processes and human activities are often complicated, resulting in a high degree of geographic variability. We identify climate change ‘hotspots’ (regions and locations likely to experience the greatest impacts) but find that not all areas will be affected in the same manner, nor synchronously by the same processes. We conclude that cable routes should carefully consider locally-variable drivers of hazard frequency and magnitude. Consideration should be given both to instantaneous events (e.g. landslides, tropical cyclones) as well as longer-term, sustained impacts (e.g. seabed currents that circulate even in deep water). Multiple factors can combine to increase the risk posed to subsea cables, hence a holistic approach is essential to assess the compounded effects of both natural processes and human activities in the future.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2022.104296","usgsCitation":"Clare, M., Yeo, I., Bricheno, L., Askenov, Y., Browning, J., Haigh, I., Wahl, T., Hunter, J.A., Sams, C., Chaytor, J., Bett, B., and Carter, L., 2023, Climate change hotspots and implications for the global subsea telecommunications network: Earth Science Reviews, v. 237, 104296, 22 p., https://doi.org/10.1016/j.earscirev.2022.104296.","productDescription":"104296, 22 p.","ipdsId":"IP-145171","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444770,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2022.104296","text":"Publisher Index Page"},{"id":416116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"237","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clare, M.A.","contributorId":238168,"corporation":false,"usgs":false,"family":"Clare","given":"M.A.","email":"","affiliations":[{"id":39676,"text":"National Oceanography Centre, Southampton, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":870116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yeo, I.A.","contributorId":304305,"corporation":false,"usgs":false,"family":"Yeo","given":"I.A.","email":"","affiliations":[{"id":13459,"text":"National Oceanography Centre, UK","active":true,"usgs":false}],"preferred":false,"id":870117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bricheno, L.","contributorId":292902,"corporation":false,"usgs":false,"family":"Bricheno","given":"L.","email":"","affiliations":[{"id":63059,"text":"National Oceanographic Center (NOC), Liverpool, UK.","active":true,"usgs":false}],"preferred":false,"id":870118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Askenov, Y","contributorId":304307,"corporation":false,"usgs":false,"family":"Askenov","given":"Y","email":"","affiliations":[{"id":13459,"text":"National Oceanography Centre, UK","active":true,"usgs":false}],"preferred":false,"id":870119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Browning, J.","contributorId":207617,"corporation":false,"usgs":false,"family":"Browning","given":"J.","email":"","affiliations":[{"id":37580,"text":"University College London Earth Sciences, UK","active":true,"usgs":false}],"preferred":false,"id":870120,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haigh, I.D.","contributorId":304309,"corporation":false,"usgs":false,"family":"Haigh","given":"I.D.","email":"","affiliations":[{"id":33401,"text":"University of Southampton, UK","active":true,"usgs":false}],"preferred":false,"id":870121,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wahl, T.","contributorId":292908,"corporation":false,"usgs":false,"family":"Wahl","given":"T.","affiliations":[{"id":63065,"text":"Univeristy of Central Florida (UCF), Orlando, Florida US.","active":true,"usgs":false}],"preferred":false,"id":870122,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hunter, J. A.","contributorId":203579,"corporation":false,"usgs":false,"family":"Hunter","given":"J.","email":"","middleInitial":"A.","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":870123,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sams, C.","contributorId":304311,"corporation":false,"usgs":false,"family":"Sams","given":"C.","email":"","affiliations":[{"id":13459,"text":"National Oceanography Centre, UK","active":true,"usgs":false}],"preferred":false,"id":870124,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":870125,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bett, B.J.","contributorId":304312,"corporation":false,"usgs":false,"family":"Bett","given":"B.J.","affiliations":[{"id":13459,"text":"National Oceanography Centre, UK","active":true,"usgs":false}],"preferred":false,"id":870126,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Carter, L.","contributorId":304315,"corporation":false,"usgs":false,"family":"Carter","given":"L.","affiliations":[{"id":34109,"text":"Victoria University of Wellington, New Zealand","active":true,"usgs":false}],"preferred":false,"id":870127,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70240151,"text":"70240151 - 2023 - A model of transmissivity and hydraulic conductivity from electrical resistivity distribution derived from airborne electromagnetic surveys of the Mississippi River Valley Alluvial Aquifer, Midwest USA","interactions":[],"lastModifiedDate":"2023-03-31T15:16:16.810474","indexId":"70240151","displayToPublicDate":"2023-01-19T06:50:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"A model of transmissivity and hydraulic conductivity from electrical resistivity distribution derived from airborne electromagnetic surveys of the Mississippi River Valley Alluvial Aquifer, Midwest USA","docAbstract":"

Groundwater-flow models require the spatial distribution of the hydraulic conductivity parameter. One approach to defining this spatial distribution in groundwater-flow model grids is to map the electrical resistivity distribution by airborne electromagnetic (AEM) survey and establish a petrophysical relation between mean resistivity calculated as a nonlinear function of the resistivity layering and thicknesses of the layers and aquifer transmissivity compiled from historical aquifer tests completed within the AEM survey area. The petrophysical relation is used to transform AEM resistivity to transmissivity and to hydraulic conductivity over areas where the saturated thickness of the aquifer is known. The US Geological Survey applied this approach to a gain better understanding of the aquifer properties of the Mississippi River Valley alluvial aquifer. Alluvial-aquifer transmissivity data, compiled from 160 historical aquifer tests in the Mississippi Alluvial Plain (MAP), were correlated to mean resistivity calculated from 16,816 line-kilometers (km) of inverted resistivity soundings produced from a frequency-domain AEM survey of 95,000 km2 of the MAP. Correlated data were used to define petrophysical relations between transmissivity and mean resistivity by omitting from the correlations the aquifer-test and AEM sounding data that were separated by distances greater than 1 km and manually calibrating the relation coefficients to slug-test data. The petrophysical relation yielding the minimum residual error between simulated and slug-test data was applied to 2,364 line-km of AEM soundings in the 1,000-km2 Shellmound (Mississippi) study area to calculate hydraulic property distributions of the alluvial aquifer for use in future groundwater-flow models.

","language":"English","publisher":"Springer","doi":"10.1007/s10040-022-02590-6","usgsCitation":"Ikard, S., Minsley, B.J., Rigby, J.R., and Kress, W., 2023, A model of transmissivity and hydraulic conductivity from electrical resistivity distribution derived from airborne electromagnetic surveys of the Mississippi River Valley Alluvial Aquifer, Midwest USA: Hydrogeology Journal, v. 31, p. 313-334, https://doi.org/10.1007/s10040-022-02590-6.","productDescription":"22 p.","startPage":"313","endPage":"334","ipdsId":"IP-131404","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":444772,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-022-02590-6","text":"Publisher Index Page"},{"id":435495,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZBFXI5","text":"USGS data release","linkHelpText":"Historical (1940&amp;amp;amp;ndash;2006) and recent (2019&amp;amp;amp;ndash;20) aquifer slug test datasets used to model transmissivity and hydraulic conductivity of the Mississippi River Valley alluvial aquifer from recent (2018&amp;amp;amp;ndash;20) airborne electromagnetic (AEM) survey data"},{"id":412493,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River Valley Alluvial Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.75162112363195,\n 32.09494813471724\n ],\n [\n -86.77759567445979,\n 32.09494813471724\n ],\n [\n -86.77759567445979,\n 38.26438477290091\n ],\n [\n -92.75162112363195,\n 38.26438477290091\n ],\n [\n -92.75162112363195,\n 32.09494813471724\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"31","noUsgsAuthors":false,"publicationDate":"2023-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Ikard, Scott 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":201775,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":862775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rigby, James R. 0000-0002-5611-6307","orcid":"https://orcid.org/0000-0002-5611-6307","contributorId":260894,"corporation":false,"usgs":true,"family":"Rigby","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kress, Wade 0000-0002-6833-028X","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":203539,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862777,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70241146,"text":"70241146 - 2023 - Plant community predictions support the potential for big sagebrush range expansion adjacent to the leading edge","interactions":[],"lastModifiedDate":"2023-03-13T11:44:20.641768","indexId":"70241146","displayToPublicDate":"2023-01-19T06:42:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3242,"text":"Regional Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Plant community predictions support the potential for big sagebrush range expansion adjacent to the leading edge","docAbstract":"

Big sagebrush ecosystems are widespread across drylands of western North America and provide numerous services, but the abundance of these ecosystems has declined substantially and the future of these ecosystems is uncertain. As a result, characterizing potential areas for expansion of these ecosystems is important. Species distribution models of the big sagebrush suggest areas of increasing climatic habitat suitability at northern latitudes under climate change scenarios. This implies the formation of a leading edge during a future big sagebrush range expansion. Such an expansion requires that current nearby range margin big sagebrush populations are stable and serve as future seed sources. Our goal was to quantify the impacts of future climate conditions on the plant community composition and biomass in the in range margin big sagebrush plant communities adjacent to the leading edge. We did this using an individual-based soil water and plant growth simulation model, STEPWAT2. We assessed community dynamics throughout the twenty-first century using 13 climate models under two representative concentration pathways to capture the variability among projections. Our results show minimal overall change in plant community composition and little change in biomass, suggesting that range margin big sagebrush plant communities adjacent to the leading edge will remain stable to serve as essential dispersal sources for future range expansion, assuming no other relevant changes such as changes in disturbance regimes. These assessments of plant community responses to shifts in climate and characterization of variability in future projections will help inform conservation planning and management of the big sagebrush ecosystem.

","language":"English","publisher":"Springer","doi":"10.1007/s10113-022-01999-9","usgsCitation":"Martyn, T., Palmquist, K., Bradford, J., Schlaepfer, D.R., and Lauenroth, W., 2023, Plant community predictions support the potential for big sagebrush range expansion adjacent to the leading edge: Regional Environmental Change, v. 23, 27, 12 p., https://doi.org/10.1007/s10113-022-01999-9.","productDescription":"27, 12 p.","ipdsId":"IP-146920","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":414005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.54030283521868,\n 49.526621871576566\n ],\n [\n -125.54030283521868,\n 28.895094929809844\n ],\n [\n -101.38064109224445,\n 28.895094929809844\n ],\n [\n -101.38064109224445,\n 49.526621871576566\n ],\n [\n -125.54030283521868,\n 49.526621871576566\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","noUsgsAuthors":false,"publicationDate":"2023-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Martyn, T.","contributorId":303016,"corporation":false,"usgs":false,"family":"Martyn","given":"T.","affiliations":[{"id":65608,"text":"Yale School of the Environment, Yale University, 195 Prospect Street, New Haven, CT, 06511, USA","active":true,"usgs":false}],"preferred":false,"id":866273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmquist, K.","contributorId":303017,"corporation":false,"usgs":false,"family":"Palmquist","given":"K.","email":"","affiliations":[{"id":65609,"text":"Department of Biological Sciences, Marshall University, 1 John Marshall Drive, Huntington, WV, 25755, USA","active":true,"usgs":false}],"preferred":false,"id":866274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":866275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":866276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lauenroth, W.K.","contributorId":192984,"corporation":false,"usgs":false,"family":"Lauenroth","given":"W.K.","email":"","affiliations":[],"preferred":false,"id":866277,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70239849,"text":"70239849 - 2023 - Identifying building locations in the wildland–urban interface before and after fires with convolutional neural networks","interactions":[],"lastModifiedDate":"2023-05-01T15:44:23.6532","indexId":"70239849","displayToPublicDate":"2023-01-19T06:28:12","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Identifying building locations in the wildland–urban interface before and after fires with convolutional neural networks","docAbstract":"

Background: Wildland–urban interface (WUI) maps identify areas with wildfire risk, but they are often outdated owing to the lack of building data. Convolutional neural networks (CNNs) can extract building locations from remote sensing data, but their accuracy in WUI areas is unknown. Additionally, CNNs are computationally intensive and technically complex, making them challenging for end-users, such as those who use or create WUI maps, to apply.

Aims: We identified buildings pre- and post-wildfire and estimated building destruction for three California wildfires: Camp, Tubbs and Woolsey.

Methods: We evaluated a CNN-based building dataset and a CNN model from a separate commercial vendor to detect buildings from high-resolution imagery. This dataset and model represent to end-users the state of the art of what is readily available for potential WUI mapping.

Key results: We found moderate accuracies for the building dataset and the CNN model and a severe underestimation of buildings and their destruction rates where trees occluded buildings. The CNN model performed best post-fire with accuracies ≥73%.

Conclusions: Existing CNNs may be used with moderate accuracy for identifying individual buildings post-fire and mapping the extent of the WUI. The implications are, however, that CNNs are too inaccurate for post-fire damage assessments or building counts in the WUI.

","language":"English","publisher":"CSIRO","doi":"10.1071/WF22181","usgsCitation":"Kasraee, N.K., Hawbaker, T., and Radeloff, V., 2023, Identifying building locations in the wildland–urban interface before and after fires with convolutional neural networks: International Journal of Wildland Fire, v. 32, no. 4, p. 610-621, https://doi.org/10.1071/WF22181.","productDescription":"12 p.","startPage":"610","endPage":"621","ipdsId":"IP-141304","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":435496,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VWV2IO","text":"USGS data release","linkHelpText":"Building locations identified before and after the Camp, Tubbs, and Woolsey wildfires"},{"id":412207,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Kasraee, Neda K.","contributorId":301130,"corporation":false,"usgs":false,"family":"Kasraee","given":"Neda","email":"","middleInitial":"K.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":862137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":862138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Radeloff, Volker C.","contributorId":294405,"corporation":false,"usgs":false,"family":"Radeloff","given":"Volker C.","affiliations":[{"id":34113,"text":"University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":862139,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256633,"text":"70256633 - 2023 - A perched culvert and natural obstructions limit fish dispersal in an intermittent prairie stream","interactions":[],"lastModifiedDate":"2024-08-27T16:35:17.58428","indexId":"70256633","displayToPublicDate":"2023-01-18T11:22:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"A perched culvert and natural obstructions limit fish dispersal in an intermittent prairie stream","docAbstract":"

Poorly constructed road crossings block upstream movement of fish into stream reaches that provide critical habitat or connect isolated populations. Although removing these barriers is often a conservation priority, quantifying fish passage following removal has not been well studied, particularly in intermittent streams. In this study, we sought to understand how barriers influence the dispersal of fishes in intermittent prairie streams. We used passive integrated transponder tags and antenna stations to quantify fish movement of 3 prairie-stream fishes (Central Stoneroller Campostoma anomalum [Rafinesque, 1820], Southern Redbelly Dace Chrosomus erythrogaster [Rafinesque, 1820], and Creek Chub Semotilis atromaculatus [Mitchill, 1818]) through a road crossing in an intermittent prairie stream for 3 y before and 3 y after removing a perched culvert. We verified that no upstream fish movement occurred through the culvert, despite large aggregations of tagged fish in the intermittent reach below the culvert. In contrast, tagged individuals of all 3 species were detected above the road crossing in each of the 3 y following removal. We also tracked the recovery of these species, plus the Orangethroat Darter Etheostoma spectabile (Agassiz, 1854), following a severe drought in 2018 in 2 spring-fed tributary reaches, 1 without a downstream barrier and 1 with the removed downstream culvert. Surveys of the tributary reaches showed rapid recovery of fish densities following drought in the tributary without a downstream barrier. However, recovery at the site above the removed culvert appeared to be limited by a natural waterfall. Our observations suggest barrier removal allowed access to spawning habitat within the intermittent reach immediately upstream of the site, but other obstacles or shear distance to perennial spring-fed tributary reaches also limited recolonization following severe drought. Increased connectivity between perennial and intermittent reaches in prairie streams likely benefits fishes by increasing their resilience following disturbance and providing habitat during critical life stages.

","language":"English","publisher":"University of Chicago Press","doi":"10.1086/723046","usgsCitation":"Gido, K., Hedden, S.C., Bruckerhoff, L.A., Pennock, C.A., Hedden, C.K., Hopper, G.W., Renner, E.A., Johnson, E., and Postlethwait, B.J., 2023, A perched culvert and natural obstructions limit fish dispersal in an intermittent prairie stream: Freshwater Science, v. 42, no. 1, p. 33-43, https://doi.org/10.1086/723046.","productDescription":"11 p.","startPage":"33","endPage":"43","ipdsId":"IP-137178","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499917,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/agrnr_pubs/367","text":"External Repository"},{"id":433206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Kings Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.64135743121071,\n 39.14759412347976\n ],\n [\n -96.64135743121071,\n 39.00078060209594\n ],\n [\n -96.44964269955051,\n 39.00078060209594\n ],\n [\n -96.44964269955051,\n 39.14759412347976\n ],\n [\n -96.64135743121071,\n 39.14759412347976\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gido, Keith B.","contributorId":341429,"corporation":false,"usgs":false,"family":"Gido","given":"Keith B.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":908404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hedden, Skyler C.","contributorId":341430,"corporation":false,"usgs":false,"family":"Hedden","given":"Skyler","email":"","middleInitial":"C.","affiliations":[{"id":38831,"text":"Arizona Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":908405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruckerhoff, Lindsey Ann 0000-0002-9523-4808","orcid":"https://orcid.org/0000-0002-9523-4808","contributorId":292594,"corporation":false,"usgs":true,"family":"Bruckerhoff","given":"Lindsey","email":"","middleInitial":"Ann","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pennock, Casey A.","contributorId":341431,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey","email":"","middleInitial":"A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":908407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hedden, Crosby K.","contributorId":341432,"corporation":false,"usgs":false,"family":"Hedden","given":"Crosby","email":"","middleInitial":"K.","affiliations":[{"id":38831,"text":"Arizona Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":908408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hopper, Garrett W.","contributorId":341433,"corporation":false,"usgs":false,"family":"Hopper","given":"Garrett","email":"","middleInitial":"W.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":908409,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Renner, Elizabeth A.","contributorId":341434,"corporation":false,"usgs":false,"family":"Renner","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":908410,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Eric R.","contributorId":341435,"corporation":false,"usgs":false,"family":"Johnson","given":"Eric R.","affiliations":[{"id":81737,"text":"Wildlife and Avian Programs","active":true,"usgs":false}],"preferred":false,"id":908411,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Postlethwait, Ben J.","contributorId":341436,"corporation":false,"usgs":false,"family":"Postlethwait","given":"Ben","email":"","middleInitial":"J.","affiliations":[{"id":81737,"text":"Wildlife and Avian Programs","active":true,"usgs":false}],"preferred":false,"id":908412,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70239039,"text":"70239039 - 2023 - Addressing a potential weakness in indices of predation, herbivory, and parasitism","interactions":[],"lastModifiedDate":"2023-04-12T13:29:13.910564","indexId":"70239039","displayToPublicDate":"2023-01-18T11:14:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3103,"text":"Population Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Addressing a potential weakness in indices of predation, herbivory, and parasitism","docAbstract":"

Quantification of predation, herbivory, and parasitism is critical to understanding the dynamics and trophic interactions of populations in an ecosystem. Such quantification can be challenging if the availability or consumption of the taxa are difficult to assess. Sometimes the consumption of a single prey, forage, or host is used as an overall index of the predation, herbivory, or parasitism for a population of interest. Occasionally, human-manipulated baits are used to derive similar indices. However, all such indices are susceptible to influence by variation in the abundance of the preferred taxon relative to other taxa as the result of preference switching. In this article, I describe a test for preference switching (and an adjustment, if detected) that does not require availability and consumption of the prey (forage, or host) to be measured on the same scale. The ability to detect and adjust for preference switching in such situations may advance the understanding of biological preference in taxa not previously studied in this respect.

","language":"English","publisher":"The Ecological Society of Japan","doi":"10.1002/1438-390X.12147","usgsCitation":"Adams, J.V., 2023, Addressing a potential weakness in indices of predation, herbivory, and parasitism: Population Ecology, v. 65, no. 2, p. 133-144, https://doi.org/10.1002/1438-390X.12147.","productDescription":"12 p.","startPage":"133","endPage":"144","ipdsId":"IP-141116","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":498871,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/1438-390x.12147","text":"Publisher Index Page"},{"id":412372,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":859801,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70240290,"text":"70240290 - 2023 - Drivers of survival of translocated tortoises","interactions":[],"lastModifiedDate":"2023-02-03T14:52:44.17437","indexId":"70240290","displayToPublicDate":"2023-01-18T08:43:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of survival of translocated tortoises","docAbstract":"

Translocation of animals, especially for threatened and endangered species, is a currently popular but very challenging activity. We translocated 158 adult Agassiz's desert tortoises (Gopherus agassizii), a threatened species, from the National Training Center, Fort Irwin, in the central Mojave Desert in California, USA, to 4 plots as part of a long-distance, hard-release, mitigation-driven translocation to prevent deaths from planned military maneuvers. We monitored demographic and behavioral variables of tortoises fitted with radio-transmitters from 2008 to 2018. By the end of the project, 17.72% of tortoises were alive, 65.82% were dead, 15.19% were missing, and 1.27% were removed from the study because they returned to Fort Irwin. Mortality was high during the first 3 years: >50% of the released animals died, primarily from predation. Thereafter, mortality declined but remained high. After 10.5 years, survival was highest, 37.50% (15/40), on the plot closest to original home sites, whereas from 2.56% to 23.68% remained alive on the other 3 release plots. Surviving tortoises settled early, repeatedly using locations where they constructed burrows, compared with tortoises that died or disappeared. Models of behavioral and other variables indicated that numbers of repeatedly used locations (burrows) were a driver of survival throughout the study, although plot location, size and sex of tortoises, and distance traveled were contributors, especially during early years. Because >50% mortality occurred, we considered this translocation unsuccessful. The study area appeared to be an ecological sink with historical and current anthropogenic uses contributing to habitat degradation and a decline in both the resident and released tortoises. Our findings will benefit design and selection of future translocation areas.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22352","usgsCitation":"Mack, J., and Berry, K.H., 2023, Drivers of survival of translocated tortoises: Journal of Wildlife Management, v. 87, e22352, 27 p, https://doi.org/10.1002/jwmg.22352.","productDescription":"e22352, 27 p","ipdsId":"IP-144211","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":444783,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22352","text":"Publisher Index Page"},{"id":435497,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9USRU0T","text":"USGS data release","linkHelpText":"Demographic and Movement Data for Adult Desert Tortoises Translocated from Fort Irwin, 2008-2018"},{"id":412671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Fort Irwin National Training Center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.35309032036193,\n 35.83722728738816\n ],\n [\n -117.35309032036193,\n 35.1178564871942\n ],\n [\n -116.11268639625317,\n 35.1178564871942\n ],\n [\n -116.11268639625317,\n 35.83722728738816\n ],\n [\n -117.35309032036193,\n 35.83722728738816\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2023-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Mack, Jeremy S 0000-0002-3394-8493","orcid":"https://orcid.org/0000-0002-3394-8493","contributorId":206166,"corporation":false,"usgs":false,"family":"Mack","given":"Jeremy S","affiliations":[{"id":37269,"text":"Crater Lake National Park (formerly USGS - WERC)","active":true,"usgs":false}],"preferred":false,"id":863258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863259,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70249747,"text":"70249747 - 2023 - A field test of R package GPSeqClus: For establishing animal location clusters","interactions":[],"lastModifiedDate":"2023-10-26T12:15:31.229011","indexId":"70249747","displayToPublicDate":"2023-01-18T07:13:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9977,"text":"Ecological Solutions and Evidence","active":true,"publicationSubtype":{"id":10}},"title":"A field test of R package GPSeqClus: For establishing animal location clusters","docAbstract":"
  1. The ability to track animals with Global Positioning System (GPS) collars opened an enormous potential for studying animal movements and behaviour in their natural environment. One such endeavour is to identify clusters of GPS locations as a way to estimate predator kill rate. Clapp et al. (2021) developed an R package (GPSeqClus) to assess a location dataset based on user-defined parameters to identify clusters and their characteristics. These characteristics can then help to distinguish resting-site clusters from kill sites of their large (>50 kg) prey.
  2. We identified location clusters of an adult male wolf Canis lupus on Ellesmere Island, Nunavut, Canada in July 2009 and tracked him until he died in April 2010. Identifying location clusters was challenging because the collar only obtained two GPS locations per day (12 h apart). In July 2010, we searched 30 of 52 location-clusters we identified as kill/scavenge sites and found 17 of them as such, given they had muskox Ovibos moschatus or caribou Rangifer tarandus pearyi remains nearby. We also documented five wolf rendezvous sites, two den sites, and the wolf's death site to total 60 location-clusters in all.
  3. We used a two-step process in testing the R Package GPSeqClus (hereafter GPSeqClus): (1) compare the number of clusters our method discerned with the number identified by the new algorithm, and (2) compare the number of biologically significant clusters (e.g. den sites, kill/feeding sites) we found with the number the new algorithm located. We made these tests with GPSeqClus by varying the search radius, number of days at a site, and minimum number of locations required for a cluster.
  4. GPSeqClus compared well to our technique, with the best sub-algorithm among the 25 we tested only missing three of our identified clusters and yielding six additional clusters. GPSeqClus identified 16 of the 17 confirmed sites of remains, all wolf home sites, and the wolf's carcass site. Identifying clusters using a 500-m search radius, a 1.5-day window, and a minimum of two GPS locations per cluster was suitable for a coarse GPS acquisition rate of two locations per day when prey are large, such as muskox or caribou.
  5. Given that GPSeqClus performed well with our coarse location dataset, we expect it will also perform even better with a collar acquiring more than two locations per day. Having a field-tested utility such as GPSeqClus will enhance carnivore predation studies elsewhere.
","language":"English","publisher":"British Ecological Society","doi":"10.1002/2688-8319.12204","usgsCitation":"Cluff, H.D., and Mech, L.D., 2023, A field test of R package GPSeqClus: For establishing animal location clusters: Ecological Solutions and Evidence, v. 4, no. 1, e12204, 9 p., https://doi.org/10.1002/2688-8319.12204.","productDescription":"e12204, 9 p.","ipdsId":"IP-136647","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":444784,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2688-8319.12204","text":"Publisher Index Page"},{"id":422133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Cluff, H. Dean","contributorId":53210,"corporation":false,"usgs":true,"family":"Cluff","given":"H.","email":"","middleInitial":"Dean","affiliations":[],"preferred":false,"id":886942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":886920,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}