{"pageNumber":"41","pageRowStart":"1000","pageSize":"25","recordCount":46619,"records":[{"id":70265047,"text":"70265047 - 2025 - Modeling the impacts of sand placement strategies on barrier island evolution in a semi-enclosed bay system","interactions":[],"lastModifiedDate":"2025-04-01T14:44:23.634338","indexId":"70265047","displayToPublicDate":"2025-01-19T09:39:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the impacts of sand placement strategies on barrier island evolution in a semi-enclosed bay system","docAbstract":"<p><span>This study assesses the impacts of five proposed restoration actions at Little Dauphin Island, a low-lying relic spit in a semi-enclosed bay system on the Alabama coast. A Delft3D model is developed to simulate annual scale (five-year) sediment transport and resulting bed level changes. The model is validated with observed water level and wave data, as well as sediment tracers that were deployed offshore of the island. An XBeach model is developed to simulate storm-driven morphologic change and is validated for hurricanes Ivan (2004), Katrina (2005)and Sally (2020). Together, the models are used to assess differences in the island's morphological response under a no-action (status quo) scenario representing a continuous island, tidal inlet realignment, a sand motor nourishment, beach and dune restoration and a dredged offshore borrow area. The no-action scenario revealed that the island breached at multiple locations including the location of the proposed inlet realignment during each storm. The realigned channel did not prevent breaching on the island, but reduced the magnitude of sand transported through the breaches. The sand motor provided some sheltering to leeward shorelines during storms but did not prevent breaching from occurring elsewhere. Fairweather waves and currents were not strong enough to transport sand outside of the vicinity of the feature to feed adjacent shorelines as intended. The beach and dune restoration reduced storm-driven overtopping along the nourished shoreline. For habitat purposes, strategically placed bayous provided low elevation points that allowed overwash depending on the direction of cross-barrier water level gradients.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2025.104697","usgsCitation":"Passeri, D., Mickey, R.C., Thompson, D.M., Itzkin, M., Godsey, E., Bilskie, M.V., Seymour, A.C., Poisson, A., Ikeda, J., and Hagen, S.C., 2025, Modeling the impacts of sand placement strategies on barrier island evolution in a semi-enclosed bay system: Coastal Engineering, v. 197, 104697, 17 p., https://doi.org/10.1016/j.coastaleng.2025.104697.","productDescription":"104697, 17 p.","ipdsId":"IP-160092","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2025.104697","text":"Publisher Index 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-110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/eros\" data-mce-href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p>Email: <a href=\"mailto:custserv@usgs.gov\" data-mce-href=\"mailto:custserv@usgs.gov\">custserv@usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Why do we need Annual NLCD?</li><li>What are the foundational elements of Annual NLCD?</li><li>Who produces Annual NLCD?</li><li>What does Annual NLCD provide?</li><li>What are some examples of NLCD’s usefulness?</li><li>How is accuracy determined for Annual NLCD?</li><li>What’s different from the legacy NLCD?</li><li>References Cited</li><li>For more information</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-01-17","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":152492,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":923615,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70261594,"text":"pp1879V2 - 2025 - Stratigraphic notes—Volume 2, 2025","interactions":[],"lastModifiedDate":"2025-07-21T17:38:29.757588","indexId":"pp1879V2","displayToPublicDate":"2025-01-17T14:34:50","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1879-2","displayTitle":"Stratigraphic Notes—Volume 2, 2025","title":"Stratigraphic notes—Volume 2, 2025","docAbstract":"<p>This is the second volume in the U.S. Geological Survey (USGS) series of reports on stratigraphy entitled “Stratigraphic Notes,” which consists of short papers that highlight stratigraphic studies, changes in stratigraphic nomenclature, and explanations of stratigraphic names and concepts used on published geologic maps. “Stratigraphic Notes” is a long-term (multiyear), multivolume publication containing articles that address updates or revisions to stratigraphic nomenclature (and whose content ultimately will be incorporated by National Geologic Map Database personnel into Geolex, <a rel=\"noopener\" href=\"https://ngmdb.usgs.gov/Geolex/\" target=\"_blank\" data-mce-href=\"https://ngmdb.usgs.gov/Geolex/\">https://ngmdb.usgs.gov/Geolex/</a>).</p><p>We welcome papers for the “Stratigraphic Notes” series from geoscientists of the USGS, of State Geological Surveys, and from academicians. Papers can be submitted for publication in “Stratigraphic Notes” by contacting the USGS Geologic Names Committee (<a href=\"mailto: gnc@usgs.gov\" data-mce-href=\"mailto: gnc@usgs.gov\">gnc@usgs.gov</a>). As new “Stratigraphic Notes” volumes are published, links to the volumes will be posted at <a href=\"https://doi.org/10.3133/pp1879\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://doi.org/10.3133/pp1879\">https://doi.org/10.3133/pp1879</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1879V2","usgsCitation":"Orndorff, R.C., Stamm, N.R., and Soller, D.R., eds., 2025, Stratigraphic notes—Volume 2, 2025: U.S. Geological Survey Professional Paper 1879–2, 28 p., https://doi.org/10.3133/pp1879v2.","productDescription":"Chapter A: v, 28 p.; Chapter B: v, 10; Chapter C: v, 13 p.;  Data Release","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-146700","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":64806,"text":"National Cooperative Geologic Mapping","active":true,"usgs":true}],"links":[{"id":480775,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13XMUGW","text":"USGS Data Release","description":"Powell, N.E., Carter, M.W., McAleer, R.J., Holm-Denoma, C.S., Occhi, M.E., Owens, B.E., and Vazquez, J.A., 2024,  Major and trace element geochemical data for the Petersburg Granite (sensu stricto), Pocoshock Creek Gneiss, and related Appalachian igneous rocks: U.S. Geological Survey data release, https://doi.org/10.5066/P13XMUGW.","linkHelpText":"Major and trace element geochemical data for the Petersburg Granite (sensu stricto), Pocoshock Creek Gneiss, and related Appalachian igneous rocks"},{"id":480768,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/pp1879V1","text":"Professional Paper 1879-1","description":"Orndorff, R.C., Stamm, N.R., and Soller, D.R., eds., 2023, Stratigraphic notes—Volume 1, 2022: U.S. Geological Survey Professional Paper 1879–1, 38 p., https://doi.org/10.3133/pp1879V1.","linkHelpText":"- Stratigraphic Notes—Volume 1, 2022"},{"id":480771,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/pp1879","text":"Professional Paper 1879","description":"Orndorff, R.C., Stamm, N.R., and Soller, D.R., eds., 2023, Stratigraphic notes: U.S. Geological Survey Professional Paper 1879, https://doi.org/10.3133/pp1879.","linkHelpText":"- This publication is Volume 2 in Stratigraphic Notes"},{"id":465841,"rank":3,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1879/v2/pp1879-2b.pdf","text":"Chapter B. The National Park Service Stratotype Inventory","size":"8.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Henderson, T.C., Santucci, V.L., Tweet, J.S., Connors. T., Stamm, N.R., Orndorff, R.C., Soller, D.R., and Scheland, C., 2025, The National Park Service stratotype inventory, chap. B of Orndorff, R.C., Stamm, N.R., and Soller, D.R., eds., Stratigraphic Notes— Volume 2, 2025: U.S. Geological Survey Professional Paper 1879–2, 10 p., https://doi.org/10.3133/pp1879v2."},{"id":465158,"rank":2,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1879/v2/pp1879v2a.pdf","text":"Chapter A. Pocoshock Creek Gneiss and Redefinition of the Petersburg Granite, Central-Eastern Piedmont of Virginia","size":"14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Carter, M.W., McAleer, R.J., Holm-Denoma, C.S., Vazquez, J.A., Occhi, M.E., and Owens, B.E., 2024, Pocoshock Creek Gneiss and redefinition of the Petersburg Granite, central-eastern piedmont of Virginia, chap. A. of Orndorff, R.C., Stamm, N.R., and Soller, D.R. eds., Stratigraphic notes—Volume 2, 2024: U.S. Geological Survey Professional Paper, 1879–2, 28 p., https://doi.org/10.3133/pp1879v2."},{"id":492654,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118315.htm","linkFileType":{"id":5,"text":"html"}},{"id":481995,"rank":8,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1879/v2/ChapA_versionHist.txt","text":"Chapter A","size":"5 KB","linkFileType":{"id":2,"text":"txt"}},{"id":484922,"rank":4,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1879/v2/pp1879-2c.pdf","text":"Chapter C. Mill Springs Limestone Submember (New) of the Point Peak Member, Wilberns Formation, Moore Hollow Group, Texas","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Hunt, B.B., Droxler, A.W., Lehrmann, D.J., and Khanna, P., 2025, Mill Springs Limestone Submember (new) of the Point Peak Member, Wilberns Formation, Moore Hollow Group, Texas, chap. C of Orndorff, R.C., Stamm, N.R., and Soller, D.R., eds., Stratigraphic Notes—Volume 2, 2025: U.S. Geological Survey Professional Paper 1879–2, 13 p., https://doi.org/10.3133/pp1879v2."},{"id":465155,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1879/v2/covrthb.jpg"}],"volume":"2","edition":"Chapter A: Version 1.0: January 17, 2025; Version 1.1: February 12, 2025","contact":"<p><a href=\"https://ncgmp.usgs.gov/about/contacts.html\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ncgmp.usgs.gov/about/contacts.html\">National Cooperative Geologic Mapping Program</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>12201 Sunrise Valley Drive Mail Stop 908<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Stratigraphic notes—Volume 2, 2025</li><ul><li><em>Chapter A. <span data-teams=\"true\">Pocoshock Creek Gneiss and Redefinition of the Petersburg Granite, Central-Eastern Piedmont of Virginia</span></em></li><li><em><span data-teams=\"true\">Chapter B. The National Park Service Stratotype Inventory</span></em></li><li><em><span data-teams=\"true\">Chapter C. Mill Springs Limestone Submember (New) of the Point Peak Member, Wilberns Formation, Moore Hollow Group, Texas</span></em></li></ul></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-01-17","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"editors":[{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":921134,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Stamm, Nancy R. 0000-0002-6026-7159 nstamm@usgs.gov","orcid":"https://orcid.org/0000-0002-6026-7159","contributorId":3071,"corporation":false,"usgs":true,"family":"Stamm","given":"Nancy","email":"nstamm@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":921135,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Soller, David R. 0000-0001-6177-8332 drsoller@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-8332","contributorId":2700,"corporation":false,"usgs":true,"family":"Soller","given":"David","email":"drsoller@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":921136,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}}
,{"id":70263387,"text":"70263387 - 2025 - Population genomics reveals local adaptation related to temperature variation in two stream frog species: Implications for vulnerability to climate warming","interactions":[],"lastModifiedDate":"2025-12-15T16:18:04.791197","indexId":"70263387","displayToPublicDate":"2025-01-17T13:17:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Population genomics reveals local adaptation related to temperature variation in two stream frog species: Implications for vulnerability to climate warming","docAbstract":"<p><span>Identifying populations at highest risk from climate change is a critical component of conservation efforts. However, vulnerability assessments are usually applied at the species level, even though intraspecific variation in exposure, sensitivity and adaptive capacity play a crucial role in determining vulnerability. Genomic data can inform intraspecific vulnerability by identifying signatures of local adaptation that reflect population-level variation in sensitivity and adaptive capacity. Here, we address the question of local adaptation to temperature and the genetic basis of thermal tolerance in two stream frogs (</span><i>Ascaphus truei</i><span>&nbsp;and&nbsp;</span><i>A. montanus</i><span>). Building on previous physiological and temperature data, we used whole-genome resequencing of tadpoles from four sites spanning temperature gradients in each species to test for signatures of local adaptation. To support these analyses, we developed the first annotated reference genome for&nbsp;</span><i>A. truei</i><span>. We then expanded the geographic scope of our analysis using targeted capture at an additional 11 sites per species. We found evidence of local adaptation to temperature based on physiological and genomic data in&nbsp;</span><i>A. montanus</i><span>&nbsp;and genomic data in&nbsp;</span><i>A. truei</i><span>, suggesting similar levels of sensitivity (i.e., susceptibility) among populations regardless of stream temperature. However, invariant thermal tolerances across temperatures in&nbsp;</span><i>A. truei</i><span>&nbsp;suggest that populations occupying warmer streams may be most sensitive. We identified high levels of evolutionary potential in both species based on genomic and physiological data. While further integration of these data is needed to comprehensively evaluate spatial variation in vulnerability, this work illustrates the value of genomics in identifying spatial patterns of climate change vulnerability.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.17651","usgsCitation":"Forester, B.R., Cicchino, A.S., Shah, A.A., Mudd, A., Anderson, E.C., Bredeson, J., Crawford, A., Dunham, J., Ghalambor, C.K., Landguth, E., Murray, B., Rokhsar, D., and Funk, W., 2025, Population genomics reveals local adaptation related to temperature variation in two stream frog species: Implications for vulnerability to climate warming: Molecular Ecology, v. 34, no. 23, e17651, 18 p., https://doi.org/10.1111/mec.17651.","productDescription":"e17651, 18 p.","ipdsId":"IP-168460","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":497690,"rank":2,"type":{"id":41,"text":"Open Access External Repository 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Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":189580,"corporation":false,"usgs":false,"family":"Funk","given":"W. Chris","affiliations":[],"preferred":false,"id":926759,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70262530,"text":"70262530 - 2025 - Considering multiecosystem trade-offs is critical when leveraging systematic conservation planning for restoration","interactions":[],"lastModifiedDate":"2025-01-21T16:50:31.327281","indexId":"70262530","displayToPublicDate":"2025-01-17T10:47:33","publicationYear":"2025","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":"Considering multiecosystem trade-offs is critical when leveraging systematic conservation planning for restoration","docAbstract":"<p><span>Conservationists are increasingly leveraging systematic conservation planning (SCP) to inform restoration actions that enhance biodiversity. However, restoration frequently drives ecological transformations at local scales, potentially resulting in trade-offs among wildlife species and communities. The&nbsp;</span><i>Conservation Interactions Principle</i><span>&nbsp;(CIP), coined more than 15 years ago, cautions SCP practitioners regarding the importance of jointly and fully evaluating conservation outcomes across the landscape over long timeframes. However, SCP efforts that guide landscape restoration have inadequately addressed the CIP by failing to tabulate the full value of the current ecological state. The increased application of SCP to inform restoration, reliance on increasingly small areas to sustain at-risk species and ecological communities, ineffective considerations for the changing climate, and increasing numbers of at-risk species, are collectively intensifying the need to consider unintended consequences when prioritizing sites for restoration. Improper incorporation of the CIP in SCP may result in inefficient use of conservation resources through opportunity costs and/or conservation actions that counteract one another. We suggest SCP practitioners can avoid these consequences through a more detailed accounting of the current ecological benefits to better address the CIP when conducting restoration planning. Specifically, forming interdisciplinary teams with expertise in the current and desired ecosystem states at candidate conservation sites; improving data availability; modeling and computational advancements; and applying structured decision-making approaches can all improve the integration of the CIP in SCP efforts. Improved trade-off assessment, spanning multiple ecosystems or states, can facilitate efficient, proactive, and coordinated SCP applications across space and time. In doing so, SCP can effectively guide the siting of restoration actions capable of promoting the full suite of biodiversity in a region.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70020","usgsCitation":"Van Lanen, N.J., Duchardt, C., Pejchar, L., Shyvers, J., and Aldridge, C.L., 2025, Considering multiecosystem trade-offs is critical when leveraging systematic conservation planning for restoration: Global Change Biology, v. 31, no. 1, e70020, 8 p., https://doi.org/10.1111/gcb.70020.","productDescription":"e70020, 8 p.","ipdsId":"IP-164188","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":481026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.70020","text":"Publisher Index Page"},{"id":480835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Lanen, Nicholas J. 0000-0003-0871-0261","orcid":"https://orcid.org/0000-0003-0871-0261","contributorId":302927,"corporation":false,"usgs":true,"family":"Van Lanen","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":924473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duchardt, C.J.","contributorId":349573,"corporation":false,"usgs":false,"family":"Duchardt","given":"C.J.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":924474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pejchar, L.","contributorId":349574,"corporation":false,"usgs":false,"family":"Pejchar","given":"L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":924475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shyvers, J.E.","contributorId":349575,"corporation":false,"usgs":false,"family":"Shyvers","given":"J.E.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":924476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":924477,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70262522,"text":"70262522 - 2025 - From subsidies to stressors: Shifting ecological baselines alter biological responses to nutrients in highly modified agricultural streams","interactions":[],"lastModifiedDate":"2025-01-22T14:45:54.773366","indexId":"70262522","displayToPublicDate":"2025-01-17T09:57:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"From subsidies to stressors: Shifting ecological baselines alter biological responses to nutrients in highly modified agricultural streams","docAbstract":"<p><span>Subsidy–stress gradients offer a useful framework for understanding ecological responses to perturbation and may help inform ecological metrics in highly modified systems. Historic, region-wide shifts from bottomland hardwood forest to row crop agriculture can cause positively skewed impact gradients in alluvial plain ecoregions, resulting in tolerant organisms that typically exhibit a subsidy response (increased abundance in response to environmental stressors) shifting to a stress response (declining abundance at higher concentrations). As a result, observed biological tolerance in modified ecosystems may differ from less modified regions, creating significant challenges for detecting biological responses to restoration efforts. Using the agriculturally dominated Mississippi Alluvial Plain (MAP) ecoregion in Mississippi, USA, as a case study, we tested the hypothesis that macroinvertebrate taxa that typically display a subsidy response to nutrient enrichment in less modified ecoregions (i.e., nutrient-tolerance) shift to a stress response to increasing nutrients in highly modified watersheds with elevated baseline nutrient conditions (i.e., nutrient intolerance). The abundance and diversity of MAP-specific intolerant taxa identified with threshold indicator taxa analysis were either unresponsive or exhibited a subsidy response to increasing nutrients in less modified ecoregions in Mississippi with less land alteration and lower nutrient concentrations, but declined at higher concentrations, providing evidence for a stress response to elevated nutrients in the MAP. Additionally, MAP-specific tolerant and intolerant taxa richness responded to increased nutrients predictably and consistently across space and time within the MAP. However, in MAP streams, elevated specific conductance was predicted to dampen the response of tolerant and intolerant taxa richness to increasing nutrient concentrations, highlighting the importance of considering multistressor interactions when interpreting biological data. Lastly, we demonstrate the efficacy of this approach with sediment bacterial communities characterized with amplicon sequencing, which lack sufficient life history characteristics necessary for the development of multimetric indices. Both macroinvertebrate and bacterial communities responded similarly to increasing nutrient concentrations, suggesting DNA-based approaches may provide an efficient biological assessment tool for monitoring water quality improvements in highly modified watersheds.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3086","usgsCitation":"Devilbiss, S., Taylor, J., and Hicks, M.B., 2025, From subsidies to stressors: Shifting ecological baselines alter biological responses to nutrients in highly modified agricultural streams: Ecological Applications, v. 35, no. 1, e3086, 21 p., https://doi.org/10.1002/eap.3086.","productDescription":"e3086, 21 p.","ipdsId":"IP-159539","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":481027,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.3086","text":"Publisher Index Page"},{"id":480830,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Devilbiss, Stephen Edward 0000-0002-3512-2505","orcid":"https://orcid.org/0000-0002-3512-2505","contributorId":343984,"corporation":false,"usgs":true,"family":"Devilbiss","given":"Stephen Edward","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Jason M. 0000-0001-9240-2151","orcid":"https://orcid.org/0000-0001-9240-2151","contributorId":343985,"corporation":false,"usgs":false,"family":"Taylor","given":"Jason M.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":924443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hicks, Matthew B. 0000-0001-5516-0296 mhicks@usgs.gov","orcid":"https://orcid.org/0000-0001-5516-0296","contributorId":3778,"corporation":false,"usgs":true,"family":"Hicks","given":"Matthew","email":"mhicks@usgs.gov","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924444,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70267792,"text":"70267792 - 2025 - Variation in habitat selection by male Strix nebulosa (Great Gray Owls) across the diel cycle","interactions":[],"lastModifiedDate":"2025-06-02T15:37:53.643622","indexId":"70267792","displayToPublicDate":"2025-01-17T08:32:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Variation in habitat selection by male Strix nebulosa (Great Gray Owls) across the diel cycle","docAbstract":"<p><span>Despite the long-standing recognition that animals partition activities, for example, across different periods of the day, understanding of how habitat selection varies according to specific temporal periods or behavioral activities remains limited for most species. For example, although much of the animal kingdom is nocturnally active, studies that characterize nocturnal behavior remain relatively rare, which precludes a thorough understanding of key habitats. We used Global Positioning System tracking and remotely-sensed environmental data to evaluate whether breeding-season habitat selection by adult male&nbsp;</span><i>Strix nebulosa</i><span>&nbsp;(Great Gray Owls) (</span><i>n</i><span> = 19) varied across diel periods (dawn, day, dusk, and night). We focused on male owls because their habitat selection remains largely unknown despite the critical role they play as food provisioners. To address knowledge gaps related to nocturnal habitat, we also evaluated finer-scale, microhabitat selection by male owls at night. Owls were more active during dusk through dawn, suggesting that owls forage during crepuscular and nighttime periods and roost during the day. Owls avoided herbaceous wetlands during the day but strongly selected them at dawn, dusk, and night, indicating time-dependent habitat selection. Moreover, owls avoided dry meadows at all times of the day, suggesting that wet rather than xeric meadows are important for foraging. Owls also selected nighttime microhabitats that facilitated foraging, such as those with the presence of primary prey and open understories. During the daytime, owls chose areas with closed canopies and increased soil moisture, which likely provided suitable roosting habitat. Owls avoided development but selected areas closer to roads, particularly containing preferred habitats. Understanding of habitat selection across activity periods, temporal windows, and other contexts can improve the conservation of critical habitat for wildlife. Our work contributes to understanding of how animals balance resources related to food provisioning versus safety, both of which are critical for individual fitness and population persistence.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukaf003","usgsCitation":"Gura, K., Bedrosian, B., Patla, S., and Chalfoun, A.D., 2025, Variation in habitat selection by male Strix nebulosa (Great Gray Owls) across the diel cycle: Ornithology, v. 142, ukaf003, 14 p., https://doi.org/10.1093/ornithology/ukaf003.","productDescription":"ukaf003, 14 p.","ipdsId":"IP-174311","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithology/ukaf003","text":"Publisher Index Page"},{"id":489406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","county":"Teton County","otherGeospatial":"Greater Yellowston Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.03645482026093,\n              45.00364303043449\n            ],\n            [\n              -111.03645482026093,\n              43.24877292612567\n            ],\n            [\n              -109.20875713322333,\n              43.24877292612567\n            ],\n            [\n              -109.20875713322333,\n              45.00364303043449\n            ],\n            [\n              -111.03645482026093,\n              45.00364303043449\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"142","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Gura, Katherine B.","contributorId":356246,"corporation":false,"usgs":false,"family":"Gura","given":"Katherine B.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":938913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Bryan","contributorId":199738,"corporation":false,"usgs":false,"family":"Bedrosian","given":"Bryan","affiliations":[{"id":35591,"text":"Teton Raptor Center","active":true,"usgs":false}],"preferred":false,"id":938914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patla, Susan","contributorId":356248,"corporation":false,"usgs":false,"family":"Patla","given":"Susan","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":938915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":938916,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262231,"text":"sir20245132 - 2025 - Hydrogeologic framework of the Mountain Home area, southern Idaho","interactions":[],"lastModifiedDate":"2025-07-10T15:47:43.187583","indexId":"sir20245132","displayToPublicDate":"2025-01-16T17:28:13","publicationYear":"2025","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":"2024-5132","displayTitle":"Hydrogeologic Framework of the Mountain Home Area, Southern Idaho","title":"Hydrogeologic framework of the Mountain Home area, southern Idaho","docAbstract":"<p>In the arid western Snake River Plain around the City of Mountain Home, Idaho, declining groundwater levels concern agricultural, municipal, and other water users who rely on groundwater for sustenance because surface-water resources are limited. The U.S. Geological Survey developed this hydrogeologic framework to provide an updated characterization of groundwater resources in the western Snake River Plain around the City of Mountain Home. The hydrogeologic framework comprises: (1) a conceptual description of hydrogeologic units, (2) a three-dimensional hydrogeologic model and borehole database, (3) a map of groundwater levels and change, and (4) a discussion of groundwater occurrence and movement within the study area. Hydrogeologic units were defined based on existing literature and the borehole database compiled for this study; the five hydrogeologic units are granite, rhyolite, basalt, fine-grained sediments, and coarse-grained sediments. Each unit can bear water, but the main regional aquifer in the study area occurs in the basalt and fine-grained sediment units with depth to water ranging from 150 to 765 feet. A perched groundwater zone near the City of Mountain Home is primarily hosted in basalt and used domestically with most depths to water ranging from 30 to 100 feet. Interflow zones, scoria, and vertical fractures create heterogeneity within the basalt hydrogeologic unit that exerts strong control on groundwater movement, creating horizontal perching conditions and zones of enhanced vertical conductivity that facilitate downward groundwater percolation. In the fine- and coarse-grained sediments and rhyolite units, inferred faults both impede and enhance groundwater movement. The borehole database was constructed by digitizing 540 well-driller reports and was used to build a three-dimensional hydrogeologic framework model which reasonably represents the spatial distribution of hydrogeologic units in the study area. Generally, fine-grained sediments underlie much of the study area, with basalt concentrated in the central and western study area and rhyolite and granite in the uplands to the north. Groundwater levels were measured in 180 wells in March and November 2023; these data were used to develop water-table contour maps and describe groundwater-level change over an irrigation season. Groundwater generally flows south-southwest to the Snake River and groundwater levels declined across most of the study area (from 0.03 to 22.01 feet) between spring and autumn 2023, which is consistent with long-term declines in the Cinder Cone Butte Critical Groundwater Area and Mountain Home Groundwater Management Area. Groundwater levels rose (0.6 to 15.44 feet) over the irrigation season in most wells in the perched groundwater zone near the City of Mountain Home and near the Snake River, indicating the importance of surface-water recharge to groundwater in areas where surface water irrigation occurs. In aggregate, this hydrogeologic framework provides an updated characterization of and new insights into groundwater resources in the study area to help inform water resources management.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245132","collaboration":"Prepared in cooperation with the Idaho Department of Water Resources","usgsCitation":"Zinsser, L.M., and Ducar, S.D., 2025, Hydrogeologic framework of the Mountain Home area, southern Idaho: U.S. Geological Survey Scientific Investigations Report 2024–5132, 47 p., https://doi.org/10.3133/sir20245132.","productDescription":"Report: vii, 47 p.; Data Release","numberOfPages":"47","onlineOnly":"Y","ipdsId":"IP-140356","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":492032,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118332.htm","linkFileType":{"id":5,"text":"html"}},{"id":466551,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5132/sir20245132.XML"},{"id":466550,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5132/images"},{"id":466549,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1HK5XWS","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydrogeologic framework of the Mountain Home area, southern Idaho - three-dimensional hydrogeologic framework model, borehole database, well data, water-level contours and groundwater storage change"},{"id":466548,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245132/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5132"},{"id":466547,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5132/sir20245132.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5132"},{"id":466546,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5132/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Mountain Home area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.5,\n              43.5\n            ],\n            [\n              -116.5,\n              42.833\n            ],\n            [\n              -115,\n              42.833\n            ],\n            [\n              -115,\n              43.5\n            ],\n            [\n              -116.5,\n              43.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Rd<br>Boise, Idaho 83702-4250</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Approach</li><li>Hydrogeologic Framework</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2025-01-16","noUsgsAuthors":false,"publicationDate":"2025-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Zinsser, Lauren M. 0000-0002-8582-066X","orcid":"https://orcid.org/0000-0002-8582-066X","contributorId":205756,"corporation":false,"usgs":true,"family":"Zinsser","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ducar, Scott D. 0000-0003-0781-5598","orcid":"https://orcid.org/0000-0003-0781-5598","contributorId":297547,"corporation":false,"usgs":true,"family":"Ducar","given":"Scott","email":"","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924127,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263850,"text":"70263850 - 2025 - Jaguar density estimation in Mexico: The conservation importance of considering home range orientation in spatial capture–recapture","interactions":[],"lastModifiedDate":"2025-02-26T21:06:23.651802","indexId":"70263850","displayToPublicDate":"2025-01-16T15:03:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Jaguar density estimation in Mexico: The conservation importance of considering home range orientation in spatial capture–recapture","docAbstract":"<p><span>Accurate estimation of population parameters for imperiled wildlife is crucial for effective conservation decision-making. Population density is commonly used for monitoring imperiled species across space and time, and spatial capture–recapture (SCR) models can produce unbiased density estimates. However, many imperiled species are restricted to fragmented remnant habitats in landscapes severely modified by humans, which can alter animal space use in ways that violate typical SCR model assumptions, possibly cryptically biasing density estimates and misinforming conservation actions. Using data from a two-year camera-trapping survey in the Central Pacific Coast region, Mexico, we demonstrate the potential importance to endangered jaguar (</span><i>Panthera onca</i><span>) conservation of considering non-circular home ranges when estimating population density with SCR. Strong evidence existed that jaguars had elliptical home ranges wherein movements primarily occurred along linearly arranged coastal habitats that the camera array aligned with. Accounting for this movement with the SCR anisotropic detection function transformation, density estimates were 30%–32% higher than estimates from standard SCR models that assumed circular home ranges. Given much of suitable jaguar habitat in Mexico is fragmented and linearly oriented along coastlines and mountain ranges, accommodating irregular space use in SCR may be critical for obtaining reliable density estimates to inform effective jaguar conservation.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13301","usgsCitation":"Murphy, S.M., and Luja, V.H., 2025, Jaguar density estimation in Mexico: The conservation importance of considering home range orientation in spatial capture–recapture: Conservation Science and Practice, v. 7, no. 2, e13301, 13 p., https://doi.org/10.1111/csp2.13301.","productDescription":"e13301, 13 p.","ipdsId":"IP-166818","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":487692,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13301","text":"Publisher Index Page"},{"id":482508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Nayarit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.20025596676486,\n              21.09494336619629\n            ],\n            [\n              -104.64414024546751,\n              21.131999296986905\n            ],\n            [\n              -104.84275300307384,\n              22.257694993464256\n            ],\n            [\n              -105.46838318953313,\n              22.487273491981583\n            ],\n            [\n              -105.69678786078022,\n              22.377123069346496\n            ],\n            [\n              -105.56768956833629,\n              21.79740977986144\n            ],\n            [\n              -105.2598397940464,\n              21.50204709859902\n            ],\n            [\n              -105.20025596676486,\n              21.09494336619629\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"7","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Sean M. 0000-0002-9404-8878","orcid":"https://orcid.org/0000-0002-9404-8878","contributorId":346967,"corporation":false,"usgs":true,"family":"Murphy","given":"Sean","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luja, Victor H.","contributorId":332955,"corporation":false,"usgs":false,"family":"Luja","given":"Victor","email":"","middleInitial":"H.","affiliations":[{"id":79701,"text":"Coordinación de Investigación y Posgrado, Unidad Académica de Turismo, Universidad Autónoma de Nayarit, Ciudad de la Cultura S/N. 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,{"id":70262495,"text":"70262495 - 2025 - Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA","interactions":[],"lastModifiedDate":"2025-01-17T16:06:37.26906","indexId":"70262495","displayToPublicDate":"2025-01-16T10:01:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA","docAbstract":"<p><span>Forecasting water levels in complex ecosystems like wetlands can support effective water resource management, ecological conservation, and understanding surface and groundwater hydrology. Predictive models can be used to simulate the complex interactions among natural processes, hydrometeorological factors, and human activities. The Greater Everglades in the USA is a well-known example of an ecosystem where complexity has motivated adoption of machine learning algorithms in water level prediction studies. This paper aims to contribute to extending existing machine learning algorithms by integrating spatiotemporal data with deep-learning algorithms in the forecasting process. In this study, a deep-learning model is developed to predict water levels on a regional scale, covering a large area of approximately 9,138 square kilometers in the Everglades ecosystem. This model has the architecture of Convolutional Long Short-Term Memory which can deal with spatiotemporal data by capturing both spatial and temporal dependencies in the training data. The forecasting capabilities of this model (referred to as the global model) are assessed by comparing the global model to two Artificial Neural Networks developed at two different gaging stations, referred to here as local models. One local model is developed at a gaging station directly influenced by nearby water control structures, whereas the other is developed at a gaging station located farther away from these structures. By leveraging data from the Everglades Depth Estimation Network spanning from January 2002 to May 2023, the global and local models were trained to forecast water levels with a two-day lead time. Our findings suggest that both the global and local models perform with approximately the same level of accuracy, with Mean Absolute Relative Error values ranging from 0.38% to 1.4% at the selected stations. The developed global model has demonstrated strong potential as a standalone forecasting tool for the entire study area in the Everglades and could eliminate the need for developing multiple local models. This finding also highlights how machine learning can capture complex spatial and temporal relationships to generate accurate water level predictions on a regional scale.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.132195","usgsCitation":"Bassah, R., Corzo Perez, G.A., Bhattacharya, B., Haider, S., Swain, E.D., and Aumen, N., 2025, Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA: Journal of Hydrology, v. 652, 132195, 17 p., https://doi.org/10.1016/j.jhydrol.2024.132195.","productDescription":"132195, 17 p.","ipdsId":"IP-165910","costCenters":[{"id":269,"text":"FLWSC-Ft. 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,{"id":70262131,"text":"pp1894C - 2025 - Status of water-quality conditions in the United States, 2010–20","interactions":[{"subject":{"id":70262131,"text":"pp1894C - 2025 - Status of water-quality conditions in the United States, 2010–20","indexId":"pp1894C","publicationYear":"2025","noYear":false,"chapter":"C","displayTitle":"Status of Water-Quality Conditions in the United States, 2010–20","title":"Status of water-quality conditions in the United States, 2010–20"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":1}],"isPartOf":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"lastModifiedDate":"2025-07-10T15:44:02.042147","indexId":"pp1894C","displayToPublicDate":"2025-01-15T14:04:43","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1894","chapter":"C","displayTitle":"Status of Water-Quality Conditions in the United States, 2010–20","title":"Status of water-quality conditions in the United States, 2010–20","docAbstract":"<p>Degradation of water quality can make water harmful or unusable for humans and ecosystems. Although many studies have assessed the effect of individual constituents or narrow suites of constituents on freshwater systems, no consistent, comprehensive assessment exists over the wide range of water-quality effects on water availability. Using published studies, data, and models completed at regional or national scales in the United States during 2010–20, this chapter moves towards a comprehensive assessment by summarizing how selected anthropogenic and geogenic water-quality constituents affect national-scale water availability for human and ecosystem needs. Several types of human health, agricultural, ecological, and beneficial-use standards or thresholds were used to provide context for categorizing surface-water and groundwater quality.</p><p>Water availability for human and ecological use is limited by elevated concentrations of geogenic and anthropogenic constituents in surface and groundwater. Elevated concentrations of five geogenic constituents (arsenic, manganese, strontium, radium, and adjusted gross alpha) are common in groundwater and collectively affect the drinking water supply to over 30 million people. Surface water sourced drinking water supplies are impaired in about a third of assessed stream miles, most commonly because of non-mercury metals and salinity. Health-based violations at community water systems may disproportionately affect socially vulnerable communities. Ecological water uses are predominantly limited by nutrients, sediment, temperature, pathogens, salinity, and pesticides.</p><p>Water availability for human and ecological use is adversely affected by human activities including human contaminant sources (for example, wastewater, agriculture), processes (for example, dredging, groundwater pumping), or permanent landscape modifications (for example, dams, urbanization). Primary contaminant sources vary spatially and include fertilizer and manure, atmospheric deposition, wastewater treatment plants, urban land, and a range of natural sources. Contaminants of emerging concern, contaminants without regulatory thresholds, and mixtures of geogenic and anthropogenic water contaminants also contribute to ecological degradation and human exposure.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1894C","programNote":"Water Availability and Use Science Program and National Water Quality Program","usgsCitation":"Erickson, M.L., Miller, O.L., Cashman, M.J., Degnan, J.R., Reddy, J.E., Martinez, A.J., and Azadpour, E., 2025, Status of water-quality conditions in the United States, 2010–20 (ver. 1.1, February 2025), chap. 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   \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: January 15, 2025; Version 1.1: February 5, 2025","contact":"<p><a href=\"https://www.usgs.gov/iwaas\" data-mce-href=\"https://www.usgs.gov/iwaas\">Integrated Water Availability Assessment</a><br>Water Resources Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, Virginia 20192</p><p><a href=\"mailto:National_IWAAs%40usgs.gov?subject=\" data-mce-href=\"mailto:National_IWAAs%40usgs.gov?subject=\">Contact Integrated Water Availability Assessment Team</a></p>","tableOfContents":"<ul><li>Preface</li><li>Abstract</li><li>Key Points</li><li>Introduction</li><li>Quality of Surface-Water Resources</li><li>Quality of Groundwater Resources</li><li>Groundwater–Surface Water Interactions and Chemical Mixtures</li><li>Alternative Water Resources</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Information About Linked Interactive Maps</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-15","revisedDate":"2025-02-05","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":3671,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda L.","email":"merickso@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Olivia L. 0000-0002-8846-7048","orcid":"https://orcid.org/0000-0002-8846-7048","contributorId":219231,"corporation":false,"usgs":true,"family":"Miller","given":"Olivia","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":923217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Degnan, James R. 0000-0002-5665-9010","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":218796,"corporation":false,"usgs":true,"family":"Degnan","given":"James R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reddy, James E. 0000-0002-6998-7267 jreddy@usgs.gov","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":1080,"corporation":false,"usgs":true,"family":"Reddy","given":"James","email":"jreddy@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martinez, Anthony J. 0000-0002-4295-0261","orcid":"https://orcid.org/0000-0002-4295-0261","contributorId":343462,"corporation":false,"usgs":true,"family":"Martinez","given":"Anthony J.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":923220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Azadpour, Elmera 0000-0002-4365-8326","orcid":"https://orcid.org/0000-0002-4365-8326","contributorId":332087,"corporation":false,"usgs":true,"family":"Azadpour","given":"Elmera","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":923221,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70262128,"text":"pp1894B - 2025 - Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20","interactions":[{"subject":{"id":70262128,"text":"pp1894B - 2025 - Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20","indexId":"pp1894B","publicationYear":"2025","noYear":false,"chapter":"B","displayTitle":"Water Supply in the Conterminous United States, Alaska, Hawaii, and Puerto Rico, Water Years 2010–20","title":"Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":1}],"isPartOf":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"lastModifiedDate":"2026-01-26T19:04:04.062257","indexId":"pp1894B","displayToPublicDate":"2025-01-15T14:03:48","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1894","chapter":"B","displayTitle":"Water Supply in the Conterminous United States, Alaska, Hawaii, and Puerto Rico, Water Years 2010–20","title":"Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20","docAbstract":"<p>We present an assessment of water supply across the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico covering water years 2010–20. Our analysis drew on two national hydrologic models, the National Hydrologic Model Precipitation-Runoff Modeling System and the Weather Research and Forecasting model hydrologic modeling system. Both models produced estimates of streamflow, evapotranspiration, soil moisture, snow water equivalent, and other hydrologic states and fluxes. The models were driven by the bias-adjusted 4-kilometer-resolution, long-term regional hydroclimate simulation over the conterminous United States dataset (CONUS404). We assessed spatial and temporal error distributions by comparing monthly simulations at the 12-digit hydrologic unit code and regional scale from both models against external benchmarking datasets. Results showed that average annual rainfall across the CONUS was 857 millimeters per year for the period of analysis, with water year 2012 the driest year (729 millimeters) and water year 2019 the wettest year (995 millimeters). Key interannual variability results included the following: (1) the California–Nevada hydrologic region had the highest variability in precipitation and snow accumulation, and (2) the Texas hydrologic region was among hydrologic regions with the highest variability in precipitation. We related interannual variability in precipitation to storage volumes in soil moisture, snow water equivalent, and lakes and reservoirs to highlight areas with little storage and large year-to-year variability in precipitation. These areas included the Southern High Plains, Central High Plains, Texas, Souris–Red–Rainy, Mississippi Embayment, and Midwest regions. Our analysis of groundwater-level data showed that several of these areas overlap aquifers where groundwater levels were considerably lower than historical averages, including the Colorado Plateaus aquifers, the Rio Grande aquifer system, and the Central and Southern regions of the High Plains aquifer. Many of these lowered groundwater levels are continuations of decades-long declines from overpumping that started well before the assessment period. The resulting water budgets and their analyses provide a high-resolution foundational assessment of the mean state and variability of the terrestrial hydrologic cycle across the CONUS and Alaska, Hawaii, and Puerto Rico to support a wide range of water resource management applications.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1894B","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","programNote":"Water Availability and Use Science Program and National Water Quality Program","usgsCitation":"Gorski, G., Stets, E.G., Scholl, M.A., Degnan, J.R., Mullaney, J.R., Galanter, A.E., Martinez, A.J., Padilla, J., LaFontaine, J.H., Corson-Dosch, H.R., and Shapiro, A., 2025, Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20 (ver. 1.2, July 2025), chap. 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of Water-Storage Components and Fluxes</li><li>Synthesis and Discussion of Water Budgets</li><li>Uncertainty of Simulated Results</li><li>Summary</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Comparison of Individual Hydrologic Budget Components to External Datasets</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-15","revisedDate":"2025-07-30","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Gorski, Galen 0000-0003-0083-4251","orcid":"https://orcid.org/0000-0003-0083-4251","contributorId":329714,"corporation":false,"usgs":true,"family":"Gorski","given":"Galen","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":923202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":923203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":923204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Degnan, James R. 0000-0002-5665-9010","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":218796,"corporation":false,"usgs":true,"family":"Degnan","given":"James R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mullaney, John R. 0000-0003-4936-5046","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":203254,"corporation":false,"usgs":true,"family":"Mullaney","given":"John R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923206,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Galanter, Amy E. 0000-0002-2960-0136","orcid":"https://orcid.org/0000-0002-2960-0136","contributorId":205393,"corporation":false,"usgs":true,"family":"Galanter","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923207,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martinez, Anthony J. 0000-0002-4295-0261","orcid":"https://orcid.org/0000-0002-4295-0261","contributorId":343462,"corporation":false,"usgs":true,"family":"Martinez","given":"Anthony J.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":923208,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Padilla, Julie 0000-0002-3366-2938","orcid":"https://orcid.org/0000-0002-3366-2938","contributorId":343464,"corporation":false,"usgs":false,"family":"Padilla","given":"Julie","affiliations":[{"id":79206,"text":"Washington Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":923209,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923210,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Corson-Dosch, Hayley R. 0000-0001-8695-1584","orcid":"https://orcid.org/0000-0001-8695-1584","contributorId":244707,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Hayley","middleInitial":"R.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":923211,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shapiro, Allen 0000-0002-6425-9607","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":348204,"corporation":false,"usgs":false,"family":"Shapiro","given":"Allen","affiliations":[{"id":83323,"text":"The Catholic University of America","active":true,"usgs":false}],"preferred":false,"id":923212,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70266165,"text":"70266165 - 2025 - Emotions and political identity predict public acceptance of urban deer management","interactions":[],"lastModifiedDate":"2025-04-29T15:10:33.570193","indexId":"70266165","displayToPublicDate":"2025-01-15T09:45:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3669,"text":"Urban Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Emotions and political identity predict public acceptance of urban deer management","docAbstract":"<p><span>Addressing public preferences can enhance wildlife management effectiveness and reduce backlash. We conducted novel research on public acceptance of wildlife management by accounting for the role of underexplored drivers including emotion and political identity across an urban-to-rural gradient. Using data from a 2022 survey about white-tailed deer (</span><i>Odocoileus virginianus</i><span>) in Durham County, North Carolina, we analyzed drivers of acceptance for three management strategies: passive management, lethal management by hunting, and lethal management by professionals. Support for deer management varied across the urban-to-rural gradient, as rural residents favored hunting but were less supportive of passive management compared to urban and suburban residents. Emotions and general attitudes toward deer were the strongest predictors of management acceptance. Support for passive management was higher among residents with more positive emotions toward deer, whereas support for lethal strategies was higher among those with more negative emotions. Additionally, political identity emerged as a complex yet influential factor in shaping support for lethal management. Conservative respondents exhibited a higher acceptance of hunting, whereas liberal respondents exhibited a higher acceptance of professional sharpshooting. Collectively, our results demonstrate the ways in which emotions, politics, and other socio-demographic factors interact to influence public support for deer management across the urban–rural gradient. When direct experience with wildlife is lacking (e.g., in urban areas), emotions may act as heuristic guides that shape preferences. Managers aiming to increase deer management acceptability could integrate insights about emotional, political, and demographic drivers of public management support in communication efforts, potentially rendering urban deer management more effective.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11252-024-01667-2","usgsCitation":"Desrochers, H., Peterson, M., Larson, L., Moorman, C.E., Kierepka, E., Kilgo, J.C., and Hostetter, N.J., 2025, Emotions and political identity predict public acceptance of urban deer management: Urban Ecosystems, v. 28, 15, 16 p., https://doi.org/10.1007/s11252-024-01667-2.","productDescription":"15, 16 p.","ipdsId":"IP-169143","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487840,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11252-024-01667-2","text":"Publisher Index Page"},{"id":485137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Durham County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-78.8019,36.2361],[-78.8059,36.0928],[-78.8059,36.0878],[-78.7986,36.085],[-78.7957,36.0858],[-78.7923,36.0854],[-78.7919,36.0772],[-78.7879,36.0758],[-78.7852,36.0703],[-78.7749,36.0707],[-78.7498,36.0718],[-78.7564,36.0532],[-78.7519,36.0491],[-78.7503,36.0468],[-78.7492,36.0427],[-78.747,36.0395],[-78.7499,36.035],[-78.7511,36.0323],[-78.7545,36.0301],[-78.7551,36.0283],[-78.75,36.026],[-78.7422,36.0209],[-78.7353,36.0199],[-78.7324,36.0267],[-78.7278,36.0289],[-78.7272,36.0334],[-78.726,36.0343],[-78.7232,36.0334],[-78.7164,36.0283],[-78.713,36.0278],[-78.7102,36.0287],[-78.7085,36.0287],[-78.7052,36.0223],[-78.7076,36.0132],[-78.7077,36.0087],[-78.7048,36.0091],[-78.6985,36.0131],[-78.7009,36.0068],[-78.714,35.9729],[-78.7372,35.941],[-78.751,35.9307],[-78.7609,35.9176],[-78.8056,35.9281],[-78.8298,35.8689],[-78.89,35.8676],[-78.9076,35.8678],[-78.9144,35.8674],[-78.9332,35.8667],[-78.9587,35.866],[-78.986,35.8644],[-78.9985,35.8641],[-79.011,35.8633],[-79.0161,35.8633],[-79.0142,35.8755],[-79.0124,35.886],[-78.9507,36.2393],[-78.8019,36.2361]]]},\"properties\":{\"name\":\"Durham\",\"state\":\"NC\"}}]}","volume":"28","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Desrochers, Hannah M.","contributorId":353930,"corporation":false,"usgs":false,"family":"Desrochers","given":"Hannah M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":934773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, M. Nils","contributorId":353931,"corporation":false,"usgs":false,"family":"Peterson","given":"M. Nils","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":934774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Lincoln R.","contributorId":353934,"corporation":false,"usgs":false,"family":"Larson","given":"Lincoln R.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":934775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moorman, Christopher E.","contributorId":140839,"corporation":false,"usgs":false,"family":"Moorman","given":"Christopher","email":"","middleInitial":"E.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":934776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kierepka, Elizabeth M.","contributorId":353937,"corporation":false,"usgs":false,"family":"Kierepka","given":"Elizabeth M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":934777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kilgo, John C.","contributorId":221258,"corporation":false,"usgs":false,"family":"Kilgo","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":25513,"text":"USDA Forest Service Southern Research Station","active":true,"usgs":false}],"preferred":false,"id":934778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":934779,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70262127,"text":"cir1549 - 2025 - An interagency perspective on improving consistency and transparency of land use and land cover mapping","interactions":[],"lastModifiedDate":"2025-07-10T15:37:39.24579","indexId":"cir1549","displayToPublicDate":"2025-01-14T14:04:35","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1549","displayTitle":"An Interagency Perspective on Improving Consistency and Transparency of Land Use and Land Cover Mapping","title":"An interagency perspective on improving consistency and transparency of land use and land cover mapping","docAbstract":"<h1>Executive Summary&nbsp;</h1><p>Geospatial products of land use and land cover are broadly used in many applications. For example, the annual national greenhouse gas inventory uses the National Land Cover Database, the Coastal Change Analysis Program, Landscape Fire and Resource Management Planning Tools, the Forest Inventory and Analysis, and the National Resources Inventory to represent the land use and management base of the United States and attribute sources and sinks of greenhouse gas emissions. Federally produced land use and land cover datasets for the United States, including those from the Multi-Resolution Land Characteristics Consortium, set the foundation for developing and informing applications such as land change, conservation, greenhouse gas monitoring, urban planning, agricultural production, ecosystem functions, and water quantity and use. No single land use and land cover product is optimal for all land use and land cover applications. Approaches for defining and mapping land use and land cover classes differ across Federal map products, reflecting the tailoring of product specifications to match specific agency needs. These differing approaches present a challenge when attempting to integrate and harmonize multiple land use and land cover products into single analysis or application frameworks. Nuanced understanding of how these products are designed and produced may not be immediately evident to users; however, the availability of a diverse suite of products also represents an opportunity, providing multiple approaches for observing landscape change. In response to the National Strategy to Advance an Integrated U.S. Greenhouse Gas Measurement, Monitoring, and Information System, this Multi-Resolution Land Characteristics Consortium-led interagency report presents (1) the current status of U.S. Federal land use and land cover products (as of May 2024), (2) existing synergies and integration among these federally produced land use and land cover products, (3) inherent challenges of creating a single consistent framework, and (4) strategies for collectively tackling these challenges to improve coordination and collaboration among data producers and facilitate the adoption of land use and land cover products for greenhouse gas monitoring and a variety of other applications.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1549","usgsCitation":"Sohl, T., Schleeweis, K., Herold, N., Lang, M., La Puma, I., Wickham, J., Mueller, R., Rigge, M., Dewitz, J., Brown, J., 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Street<br>Sioux Falls, SD 57198</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Current State of Land Cover and Land Use Products (May 2024)</li><li>Improving Transparency in Using Land Use, Land Cover, and Change Products</li><li>Future Directions and Considerations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-14","noUsgsAuthors":false,"publicationDate":"2025-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Sohl, Terry 0000-0002-9771-4231","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":339876,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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20742","active":true,"usgs":false}],"preferred":false,"id":923184,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Puma, Inga P. 0000-0002-6865-820X","orcid":"https://orcid.org/0000-0002-6865-820X","contributorId":206011,"corporation":false,"usgs":false,"family":"La Puma","given":"Inga","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":923185,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wickham, James","contributorId":140259,"corporation":false,"usgs":false,"family":"Wickham","given":"James","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":923186,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mueller, Rick","contributorId":101182,"corporation":false,"usgs":false,"family":"Mueller","given":"Rick","email":"","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":923187,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rigge, Matthew 0000-0003-4471-8009","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":19457,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":923188,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dewitz, Jon 0000-0002-0458-212X","orcid":"https://orcid.org/0000-0002-0458-212X","contributorId":215192,"corporation":false,"usgs":true,"family":"Dewitz","given":"Jon","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":923189,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":923190,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ingebritsen, Jeffrey","contributorId":348196,"corporation":false,"usgs":false,"family":"Ingebritsen","given":"Jeffrey","affiliations":[{"id":83316,"text":"US Fish and Wildlife Service, Ecological Services, Baileys Crossroads, VA.","active":true,"usgs":false}],"preferred":false,"id":923191,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ellenwood, James","contributorId":348197,"corporation":false,"usgs":false,"family":"Ellenwood","given":"James","affiliations":[{"id":83319,"text":"US Forest Service, Monitoring, Remote Sensing, and Geospatial Analysis Research, Washington, DC.","active":true,"usgs":false}],"preferred":false,"id":923192,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wengert, Ellen","contributorId":348198,"corporation":false,"usgs":false,"family":"Wengert","given":"Ellen","affiliations":[{"id":83320,"text":"KBR Inc., contractor to the US Geological Survey, Reston, VA.","active":true,"usgs":false}],"preferred":false,"id":923193,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rowe, Jordan","contributorId":348199,"corporation":false,"usgs":false,"family":"Rowe","given":"Jordan","affiliations":[{"id":83320,"text":"KBR Inc., contractor to the US Geological Survey, Reston, VA.","active":true,"usgs":false}],"preferred":false,"id":923194,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Flanagan, Patrick","contributorId":348200,"corporation":false,"usgs":false,"family":"Flanagan","given":"Patrick","affiliations":[{"id":83321,"text":"USDA Natural Resources Conservation Service, Crownsville, MD.","active":true,"usgs":false}],"preferred":false,"id":923195,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kachergis, Emily 0000-0003-4059-2525","orcid":"https://orcid.org/0000-0003-4059-2525","contributorId":348201,"corporation":false,"usgs":false,"family":"Kachergis","given":"Emily","affiliations":[{"id":83322,"text":"US Bureau of Land Management, Lakewood, CO.","active":true,"usgs":false}],"preferred":false,"id":923196,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Garthwaite, Iris 0000-0002-7228-6293","orcid":"https://orcid.org/0000-0002-7228-6293","contributorId":348202,"corporation":false,"usgs":true,"family":"Garthwaite","given":"Iris","affiliations":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":923197,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":923198,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70262094,"text":"sir20245123 - 2025 - Groundwater-level elevations in the Denver Basin bedrock aquifers and Upper Black Squirrel Creek alluvial aquifer, El Paso County, Colorado, 2021–24","interactions":[],"lastModifiedDate":"2025-07-10T15:36:36.719182","indexId":"sir20245123","displayToPublicDate":"2025-01-14T12:40:00","publicationYear":"2025","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":"2024-5123","displayTitle":"Groundwater-Level Elevations in the Denver Basin Bedrock Aquifers and Upper Black Squirrel Creek Alluvial Aquifer, El Paso County, Colorado, 2021–24","title":"Groundwater-level elevations in the Denver Basin bedrock aquifers and Upper Black Squirrel Creek alluvial aquifer, El Paso County, Colorado, 2021–24","docAbstract":"<p>El Paso County is the second-most populous county in Colorado and is projected to grow another 15 percent by 2030. Within El Paso County is the Upper Black Squirrel Creek Designated Groundwater Basin (Black Squirrel Basin), an area where surface water is scarce and water users rely primarily on groundwater from five different aquifers (the Upper Black Squirrel Creek alluvial aquifer and four bedrock aquifers within the Denver Basin aquifer system: the lower Dawson, Denver, Arapahoe, and Laramie-Fox Hills aquifers) to meet their needs. Currently (2024), land within the Upper Black Squirrel Creek Basin is primarily used for rural grazing and agriculture; however, municipal development is ongoing.</p><p>In 2021, the U.S. Geological Survey, in cooperation with the Upper Black Squirrel Creek Ground Water Management District, began a study to establish a baseline dataset and assess the groundwater resources of the aquifers within the Black Squirrel Basin. A network of 39 wells was established in 2021; discrete groundwater-level measurements were made bimonthly. Nine of the 39 wells were equipped with pressure transducers to record hourly groundwater-level data. Seven wells had statistically significant seasonal trends, and trends at 3 wells were negative. For the discrete data, 16 wells had a significant trend for the study period, and 4 wells had negative trends. For the time-series data, 8 wells had significant trends, and 3 wells had negative trends.</p><p>Potentiometric surface maps were created for this study using discrete, static groundwater levels measured in April 2023. These maps showed the estimated groundwater flow direction from the north-northwest to the south-southeast in the alluvial aquifer and from the northwest to the east-southeast for the lower Dawson and Denver aquifer wells.</p><p>This study indicates the potential benefit of monitoring wells in the areas near municipal pumping. Additional monitoring could lead to a better understanding of connectivity between aquifers and be an important tool for assessing long-term sustainability of groundwater use.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245123","isbn":"978-1-4113-4591-1","collaboration":"Prepared in cooperation with Upper Black Squirrel Creek Ground Water Management District","usgsCitation":"Kisfalusi, Z.D., Hennessy, E.K., and Sharp, J.B., 2025, Groundwater-level elevations in the Denver Basin bedrock aquifers and Upper Black Squirrel Creek alluvial aquifer, El Paso County, Colorado, 2021–24: U.S. Geological Survey Scientific Investigations Report 2024–5123, 49 p., https://doi.org/10.3133/sir20245123.","productDescription":"Report: vii, 49 p.; Database","onlineOnly":"N","ipdsId":"IP-147629","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":492020,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118294.htm","linkFileType":{"id":5,"text":"html"}},{"id":480762,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245123/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5123"},{"id":466239,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5123/sir20245123.xml"},{"id":466238,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5123/images"},{"id":466138,"rank":3,"type":{"id":9,"text":"Database"},"url":"http://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey, 2024, USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database, accessed June 15, 2024"},{"id":466137,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5123/sir20245123.pdf","text":"Report","size":"9.24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5123"},{"id":466136,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5123/coverthb.jpg"}],"country":"United States","state":"Colorado","county":"El Paso County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.6642,39.1308],[-104.6072,39.1307],[-104.4958,39.1298],[-104.3854,39.1284],[-104.2733,39.1278],[-104.166,39.1277],[-104.0521,39.1264],[-104.0538,39.0407],[-104.0544,38.9528],[-104.0549,38.8666],[-104.0537,38.7801],[-104.0525,38.693],[-104.051,38.6585],[-104.0524,38.6069],[-104.054,38.523],[-104.1629,38.5215],[-104.2759,38.5204],[-104.2794,38.5205],[-104.2836,38.5201],[-104.3759,38.52],[-104.4971,38.5192],[-104.6071,38.5187],[-104.7171,38.5186],[-104.736,38.5183],[-104.8295,38.5183],[-104.943,38.5175],[-104.9432,38.5479],[-104.943,38.5624],[-104.9429,38.6041],[-104.9427,38.6186],[-104.9429,38.6467],[-104.9429,38.6503],[-104.9427,38.6621],[-104.9427,38.6648],[-104.9428,38.6938],[-104.9399,38.6938],[-104.9386,38.7808],[-104.939,38.7949],[-105.0671,38.7946],[-105.0674,38.8666],[-105.0502,38.8665],[-105.0296,38.8668],[-105.026,39.0413],[-105.032,39.1311],[-104.9371,39.1312],[-104.9175,39.131],[-104.8303,39.1311],[-104.6642,39.1308]]]},\"properties\":{\"name\":\"El Paso\",\"state\":\"CO\"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/colorado-water-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/colorado-water-science-center/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Methods</li><li>Groundwater-Level Elevations in Aquifers in the Upper Black Squirrel Creek Designated Groundwater Basin</li><li>Additional Research</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Groundwater Well Measurement Diagram </li><li>Appendix 2. Hydrographs Showing Groundwater-Level Elevation Through Time for Wells in the Upper Black Squirrel Creek Designated Groundwater Basin, El Paso County, Groundwater-Level Monitoring Network</li><li>Appendix 3. Descriptions and Equations of Mann-Kendall Test, Seasonal Mann-Kendall Test, and Theil-Sen Slope Estimate</li></ul>","publishedDate":"2025-01-14","noUsgsAuthors":false,"publicationDate":"2025-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Kisfalusi, Zachary D. 0000-0001-6016-3213","orcid":"https://orcid.org/0000-0001-6016-3213","contributorId":222422,"corporation":false,"usgs":true,"family":"Kisfalusi","given":"Zachary","email":"","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hennessy, Erin K. 0000-0003-3436-0699","orcid":"https://orcid.org/0000-0003-3436-0699","contributorId":300634,"corporation":false,"usgs":true,"family":"Hennessy","given":"Erin","email":"","middleInitial":"K.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharp, Jackson B. 0009-0005-5495-1041","orcid":"https://orcid.org/0009-0005-5495-1041","contributorId":332900,"corporation":false,"usgs":true,"family":"Sharp","given":"Jackson B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923062,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262095,"text":"ofr20241078 - 2025 - Review of the Lake Washington Ship Canal and Ballard Locks model, Seattle, Washington, 2014–20","interactions":[],"lastModifiedDate":"2025-07-10T15:35:39.574031","indexId":"ofr20241078","displayToPublicDate":"2025-01-13T14:18:55","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1078","displayTitle":"Review of the Lake Washington Ship Canal and Ballard Locks Model, Seattle, Washington, 2014–20","title":"Review of the Lake Washington Ship Canal and Ballard Locks model, Seattle, Washington, 2014–20","docAbstract":"<h1>Executive Summary</h1><p>The Hiram M. Chittenden (Ballard) Locks and Lake Washington Ship Canal connect freshwater Lake Washington and saline Shilshole Bay of Puget Sound in Seattle, Washington. The locks and canal allow for ships to traverse this reach. Anadromous salmonids also migrate through, transitioning between saline and freshwater environments, and making use of a fish ladder at the locks when traveling upstream. WEST Consultants, Inc., constructed a two-dimensional hydrodynamic and water-quality model (CE-QUAL-W2) simulating flow, water temperature, and salinity for the Ballard Locks and the Lake Washington Ship Canal. An initial model was built for calendar years 2014–15, and the model was updated using a more recent and modern dataset for calendar years 2016–20. The U.S. Army Corps of Engineers requested that the U.S. Geological Survey review this model and its documentation to evaluate the technical aspects of its development and calibration. Findings from this review include the following:</p><ul><li>Overall, the Lake Washington Ship Canal CE-QUAL-W2 model was well-documented and constructed largely following typical model-development methods.</li><li>The Lake Washington Ship Canal model was built with CE-QUAL-W2 model version 4.5, compiled and released by Portland State University in April 2021. CE-QUAL-W2 updates and improvements are regularly released with bug fixes and new features, so any model updates would benefit from the use of the most-recent software release.</li><li>The model grid that represents the Lake Washington Ship Canal bathymetry was 9.2 kilometers (5.7 miles) long, matching the expected length of the waterway. The deepest model segments were near sampling site LLLW (Large Locks site) near the locks. Lake Union is reported to constitute most of the volume of the Lake Washington Ship Canal and is depicted as such in the model grid.</li><li>The model includes several water outflows at Ballard Locks, including the large and small locks, a saltwater drain, a spillway, smolt flumes, and a fish ladder. Flows from the spillway, smolt flumes, and fish ladder were combined into one structure outflow in the model and assigned one withdrawal elevation from the Lake Washington Ship Canal. The smolt flume and spillway withdraw from the same elevation, but the fish ladder flow withdraws from a higher elevation in Lake Washington Ship Canal, and that flow could be separated into its own withdrawal.</li><li>The model input files were created using the Coordinated Universal Time standard instead of the more typical choice of using local standard time. This is not incorrect, but sub-daily results would need to be converted to local time for science-communication purposes.</li><li>The meteorological dataset had some unexpected anomalies, such as a baseline shift in the wind-speed dataset. Other nearby meteorological datasets could be used instead or used to correct the current meteorological inputs.</li><li>The upstream boundary was configured with water-temperature data from a continuous monitor buoy in Lake Washington. The boundary salinity was set at 0 parts per thousand for the duration of the model simulation. A more realistic estimate of salinity at the upstream boundary could be constructed using data from the same buoy.</li><li>Saline inflow at the downstream boundary of the Lake Washington Ship Canal model through lock exchanges at the large lock was included as a tributary in the model. Salinity and temperature inputs in this tributary at the large locks were set as constant values for the entire simulation. Saline inflow through the small lock was not included in the model because few data were available, and the input was likely to be small because of the smaller surface area and volume of the small lock relative to the large lock.</li><li>The model did not include any flow, water temperature, or salinity inputs to the Lake Washington Ship Canal other than at the locks and at the upstream boundary. Any point sources, small tributaries, or stormwater inputs were omitted from the model. It is unclear whether this is a substantial omission relative to model results.</li><li>Most model parameters were set as defaults or to reasonable values. However, the value of the WINDH parameter, the height of the wind speed measurement, was different than the height of the meteorological site.</li><li>Compared to measured data, the model simulated water-surface elevations and water temperatures with reasonable accuracy. Differences in the modeled and measured salinities revealed some opportunities to improve the simulation of salinity, both baseline salinity and the salinity maxima in summer and autumn.</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241078","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Sullivan, A.B., and Leach, A.C., 2025, Review of the Lake Washington Ship Canal and Ballard Locks model, Seattle, Washington, 2014–20: U.S. Geological Survey Open-File Report 2024–1078, 26 p., https://doi.org/10.3133/ofr20241078.","productDescription":"vi, 26 p.","onlineOnly":"Y","ipdsId":"IP-167618","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":466127,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1078/coverthb.jpg"},{"id":492018,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118293.htm","linkFileType":{"id":5,"text":"html"}},{"id":466131,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1078/ofr20241078.XML"},{"id":466130,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1078/images"},{"id":466129,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241078/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1078"},{"id":466128,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1078/ofr20241078.pdf","text":"Report","size":"11.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1078"}],"country":"United States","state":"Washington","city":"Seattle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.43315230989231,\n              47.698642250035505\n            ],\n            [\n              -122.43315230989231,\n              47.61578112954558\n            ],\n            [\n              -122.261948049909,\n              47.61578112954558\n            ],\n            [\n              -122.261948049909,\n              47.698642250035505\n            ],\n            [\n              -122.43315230989231,\n              47.698642250035505\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oregon-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/oregon-water-science-center\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>601 SW Second Avenue, Suite 1950<br>Portland, Oregon 97204</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Model Review</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2025-01-13","noUsgsAuthors":false,"publicationDate":"2025-01-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Sullivan, Annett B. 0000-0001-7783-3906 annett@usgs.gov","orcid":"https://orcid.org/0000-0001-7783-3906","contributorId":79821,"corporation":false,"usgs":true,"family":"Sullivan","given":"Annett B.","email":"annett@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":923063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leach, Anya C. 0000-0001-7828-8858","orcid":"https://orcid.org/0000-0001-7828-8858","contributorId":344667,"corporation":false,"usgs":false,"family":"Leach","given":"Anya C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":923064,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70262006,"text":"70262006 - 2025 - Understanding and predicting infection dynamics for an endangered amphibian using long-term surveys of wild and translocated frogs","interactions":[],"lastModifiedDate":"2025-01-10T17:44:37.528257","indexId":"70262006","displayToPublicDate":"2025-01-10T10:36:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Understanding and predicting infection dynamics for an endangered amphibian using long-term surveys of wild and translocated frogs","docAbstract":"<p><span>Amphibians are a prominent component of Earth's sixth mass extinction and the fungal pathogen&nbsp;</span><i>Batrachochytrium dendrobatidis (Bd)</i><span>&nbsp;is a primary driver of declines. Although Bd dynamics are well studied, the environmental drivers, exacerbating risk factors, and value of conservation interventions like translocations remain challenging to predict. Here, we present results from two decades of Bd monitoring for mountain yellow-legged frogs (</span><i>Rana muscosa)</i><span>&nbsp;in the southern California Transverse and Peninsular mountain ranges. We describe Bd prevalence and infection intensity across sites; model how variables associated with climate, habitat, and populations relate to prevalence; and integrate Bd data from wild and translocated frogs to test whether a machine learning system can predict infection prevalence at new sites. Our findings indicate substantial spatiotemporal variation in Bd dynamics. Bd was present at all sites but prevalence and infection intensities were often low. Environmental features including temperature, precipitation, vegetation, and shortwave radiation explained significant variation in Bd prevalence, but their predictive value varied across mountain ranges. Although clear environmental predictors across populations remain elusive, we provide evidence for the importance of warmer and wetter springs and winters, with implications of increased risk under climate change predictions. We also found evidence for higher Bd prevalence among translocated than wild frogs. Although our machine learning model predicted a Bd prevalence threshold with relatively high accuracy, understanding the factors driving within- and between-population Bd dynamics is complex. Taken together, our findings provide new insights into the complicated role of Bd in amphibian declines and suggest revised management approaches.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110834","usgsCitation":"Hammond, T., Backlin, A.R., Gallegos, E., Shier, D., Swaisgood, R.R., and Fisher, R., 2025, Understanding and predicting infection dynamics for an endangered amphibian using long-term surveys of wild and translocated frogs: Biological Conservation, v. 301, 110834, 9 p., https://doi.org/10.1016/j.biocon.2024.110834.","productDescription":"110834, 9 p.","ipdsId":"IP-168407","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489884,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2024.110834","text":"Publisher Index Page"},{"id":466014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.05138381782463,\n              34.67807513882005\n            ],\n            [\n              -118.05138381782463,\n              33.715198069311896\n            ],\n            [\n              -116.30714085579153,\n              33.715198069311896\n            ],\n            [\n              -116.30714085579153,\n              34.67807513882005\n            ],\n            [\n              -118.05138381782463,\n              34.67807513882005\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"301","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hammond, Talisin T.","contributorId":347856,"corporation":false,"usgs":false,"family":"Hammond","given":"Talisin T.","affiliations":[{"id":37593,"text":"San Diego Zoo","active":true,"usgs":false}],"preferred":false,"id":922664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gallegos, Elizabeth 0000-0002-8402-2631 egallegos@usgs.gov","orcid":"https://orcid.org/0000-0002-8402-2631","contributorId":1528,"corporation":false,"usgs":true,"family":"Gallegos","given":"Elizabeth","email":"egallegos@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shier, Debra M.","contributorId":347858,"corporation":false,"usgs":false,"family":"Shier","given":"Debra M.","affiliations":[{"id":37593,"text":"San Diego Zoo","active":true,"usgs":false}],"preferred":false,"id":922667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swaisgood, Ronald R.","contributorId":69490,"corporation":false,"usgs":false,"family":"Swaisgood","given":"Ronald","email":"","middleInitial":"R.","affiliations":[{"id":12762,"text":"San Diego Zoo Institure for Conservation Research","active":true,"usgs":false}],"preferred":false,"id":922668,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":922669,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263419,"text":"70263419 - 2025 - ​​Integrated Hydro-terrestrial Modeling 2.0: Progress and path forward on building a national capability​","interactions":[],"lastModifiedDate":"2025-03-06T20:35:44.371162","indexId":"70263419","displayToPublicDate":"2025-01-10T10:31:25","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"PNNL-37047","title":"​​Integrated Hydro-terrestrial Modeling 2.0: Progress and path forward on building a national capability​","docAbstract":"Growing societal pressures on U.S. water resources and the challenges inherent in understanding how future water risks may evolve are driving major investments to improve our knowledge of the integrated water cycle. This improved understanding as captured in innovations in our data, knowledge, and modeling capabilities, needs to be accelerated through better integration and coordination across scientific disciplines, programs, and U.S. agencies. The Integrated Hydro-Terrestrial Modeling (IHTM) community holds promise to accelerate the progress required to manage the U.S. water resources sustainably, equitably, and effectively. The U.S. Global Change Research Program (USGCRP) coordinates research on the impacts of global change on the water cycle through interagency collaboration. USGCRP agencies and their partners jointly held the IHTM 2.0 workshop for U.S. federal and non-federal scientists and managers in fall 2023, aiming to advance community modeling and integrated water resources management capabilities following open science principles. This workshop focused on developing both national and regional testbeds that employ state-of-the-art modeling approaches to explore gaps and opportunities for improving the representation and extensibility of hydrologic processes and modeling. Integrated regional testbeds in Mid-Atlantic, Great Lakes, Colorado River Basin, and Gulf Coast/Mississippi regions were proposed to leverage existing investments and seek actionable collaboration on issues such as water extremes, water quality, water use, and urbanization. Collaborations focused on advancing iterative cycles of model development and testing offer a means for regional scale studies to inform national scale modeling applications and yield nationally consistent modeling frameworks that are also locally relevant. This presentation will highlight key takeaways, findings, and future directions for the IHTM community that have been laid out in the IHTM 2.0 workshop report.","language":"English","publisher":"Pacific Northwest National Laboratory","usgsCitation":"Skalak, K., Voisin, N., Read, P., and Reinfelder, Y., 2025, ​​Integrated Hydro-terrestrial Modeling 2.0: Progress and path forward on building a national capability​, 98 p.","productDescription":"98 p.","ipdsId":"IP-172814","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":481982,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.pnnl.gov/publications/integrated-hydro-terrestrial-modeling-20-progress-and-path-forward-building-national","linkFileType":{"id":5,"text":"html"}},{"id":481983,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":926910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voisin, Nathalie","contributorId":242715,"corporation":false,"usgs":false,"family":"Voisin","given":"Nathalie","email":"","affiliations":[{"id":38914,"text":"Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":926912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Read, Patrick","contributorId":350756,"corporation":false,"usgs":false,"family":"Read","given":"Patrick","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":926911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reinfelder, Ying Fan","contributorId":350757,"corporation":false,"usgs":false,"family":"Reinfelder","given":"Ying Fan","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":926913,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263133,"text":"70263133 - 2025 - Modelling and mapping burn severity of prescribed and wildfires across the southeastern United States (2000-2022)","interactions":[],"lastModifiedDate":"2025-01-30T19:45:29.695647","indexId":"70263133","displayToPublicDate":"2025-01-10T08:54:17","publicationYear":"2025","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":"Modelling and mapping burn severity of prescribed and wildfires across the southeastern United States (2000-2022)","docAbstract":"<div class=\"section\"><strong>Background</strong><p id=\"d6e267\">The southeastern United States (‘Southeast’) experiences high levels of fire activity, but the preponderance of small and prescribed fires means that existing burn severity products are incomplete across the region.</p></div><div class=\"section\"><strong>Aims</strong><p id=\"d6e272\">We developed and applied a burn severity model across the Southeast to enhance our understanding of regional burn severity patterns.</p></div><div class=\"section\"><strong>Methods</strong><p id=\"d6e277\">We used Composite Burn Index (CBI) plot data from across the conterminous US (CONUS) to train a gradient-boosted decision tree model. The model was optimised for the Southeast and applied to the annual Landsat Burned Area product for 2000–2022 across the region.</p></div><div class=\"section\"><strong>Key results</strong><p id=\"d6e282\">The burn severity model had a root mean square error (RMSE) of 0.48 (<i>R</i><sup>2</sup>&nbsp;=&nbsp;0.70) and 0.50 (<i>R</i><sup>2</sup>&nbsp;=&nbsp;0.37) for the CONUS and Southeast, respectively. The Southeast, relative to CONUS, had lower mean absolute residuals in low and moderate burn severity categories. Burn severity was consistently lower in areas affected by prescribed burns relative to wildfires.</p></div><div class=\"section\"><strong>Conclusions</strong><p id=\"d6e297\">Although regional performance was limited by a lack of high burn severity CBI plots, the burn severity dataset demonstrated patterns consistent with low-severity, frequent fire regimes characteristic of Southeastern ecosystems.</p></div><div class=\"section\"><strong>Implications</strong><p id=\"d6e302\">More complete data on burn severity will enhance regional management of fire-dependent ecosystems and improve estimates of fuels and fire emissions.</p></div>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF24137","usgsCitation":"Vanderhoof, M.K., Menick, C., Picotte, J., Robertson, K., Nowell, H., Matechik, C., and Hawbaker, T., 2025, Modelling and mapping burn severity of prescribed and wildfires across the southeastern United States (2000-2022): International Journal of Wildland Fire, v. 34, WF24137, 18 p., https://doi.org/10.1071/WF24137.","productDescription":"WF24137, 18 p.","ipdsId":"IP-168626","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":487606,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf24137","text":"Publisher Index Page"},{"id":481496,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Southeastern United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.84265218279624,\n              37.77596953399504\n            ],\n            [\n              -78.13332769554842,\n              37.81121042989402\n            ],\n            [\n              -78.50653522196949,\n              37.06729942525267\n            ],\n            [\n              -84.15029445958021,\n              37.22024884003231\n            ],\n            [\n              -84.32493845644038,\n              35.849007362658725\n            ],\n            [\n              -87.85994029546136,\n              36.084463100776674\n            ],\n            [\n              -88.10379919974854,\n              34.963595961956884\n            ],\n            [\n              -91.02978905280385,\n              35.180066905480444\n            ],\n            [\n              -91.3329092821272,\n              33.856430710450255\n            ],\n            [\n              -99.49361796295356,\n              33.64685045392791\n            ],\n            [\n              -99.91299755455155,\n              29.054519222375234\n            ],\n            [\n              -99.63541436547361,\n              27.249274763591245\n            ],\n            [\n              -83.5376165865299,\n              27.782079343926185\n            ],\n            [\n              -80.8824348672415,\n              23.754811484721415\n            ],\n            [\n              -79.22198157158164,\n              26.219888018881207\n            ],\n            [\n              -80.06855265497653,\n              31.178163383016468\n            ],\n            [\n              -75.53575017161162,\n              35.0970827330392\n            ],\n            [\n              -74.84265218279624,\n              37.77596953399504\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","noUsgsAuthors":false,"publicationDate":"2025-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":925649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Menick, Casey Elizabeth 0000-0003-3505-1871","orcid":"https://orcid.org/0000-0003-3505-1871","contributorId":350312,"corporation":false,"usgs":true,"family":"Menick","given":"Casey Elizabeth","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":925650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Picotte, Joshua J. 0000-0002-4021-4623","orcid":"https://orcid.org/0000-0002-4021-4623","contributorId":202800,"corporation":false,"usgs":true,"family":"Picotte","given":"Joshua J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":925651,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robertson, Kevin","contributorId":298277,"corporation":false,"usgs":false,"family":"Robertson","given":"Kevin","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":925652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nowell, Holly","contributorId":350313,"corporation":false,"usgs":false,"family":"Nowell","given":"Holly","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":925653,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matechik, Chris","contributorId":261183,"corporation":false,"usgs":false,"family":"Matechik","given":"Chris","email":"","affiliations":[{"id":52766,"text":"Florida State University Coastal and Marine Laboratory","active":true,"usgs":false}],"preferred":false,"id":925654,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":925655,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261930,"text":"dr1204 - 2025 - Parentage and sibship relationships among captive snakes at the Phoenix Zoo—2024 data summary","interactions":[],"lastModifiedDate":"2025-01-13T15:04:13.764624","indexId":"dr1204","displayToPublicDate":"2025-01-10T07:28:05","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1204","displayTitle":"Parentage and Sibship Relationships Among Captive Snakes at the Phoenix Zoo—2024 Data Summary","title":"Parentage and sibship relationships among captive snakes at the Phoenix Zoo—2024 data summary","docAbstract":"<h1>Introduction</h1><p>The narrow-headed gartersnake (<i>Thamnophis rufipunctatus</i>) is listed as threatened under the Endangered Species Act (U.S. Fish and Wildlife Service, 2014). This species has a strong association with aquatic habitats, and these habitats have been highly altered by impoundments, land-use changes, and the introduction and spread of non-native aquatic species, which contributed to declines in Arizona and New Mexico for the last 30–40 years. Captive breeding programs can be used for genetic rescue and conservation of threatened and endangered species (Frankham, 2010). Often based on pedigree analyses, captive management plans aim to retain genetic diversity, limit inbreeding, and avoid adaptation to captivity (Foose and Ballou, 1988; Hedrick and Miller, 1992; Ivy and others, 2009; Frankham, 2010). In 2011, the Arizona Center for Nature Conservation/Phoenix Zoo (hereafter Phoenix Zoo) developed an ex-situ captive breeding management plan for <i>T. rufipunctatus</i>, with the aim to propagate and release individual <i>T. rufipunctatus</i>&nbsp;back into their native range (Blais and others, 2022). We sequenced 125 microsatellite loci to generate genetic toolsets to track pedigree and assess paternity and sibship relationships for this captive breeding program. Specifically, we used microsatellite loci to assign paternity and relatedness among eight litters composed of multiple female and male snakes born between 2014 and 2023 at the Phoenix Zoo breeding facility. We also completed sibship analysis for six wild gartersnakes collected from Canyon Creek, Arizona, that were brought into the Phoenix Zoo breeding facility in 2017 and 2018.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1204","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Wood, D.A., Mitelberg, A., and Vandergast, A.G., 2025, Parentage and sibship relationships among captive snakes at the Phoenix Zoo—2024 data summary: U.S. Geological Survey Data Report 1204, 20 p., https://doi.org/10.3133/dr1204.","productDescription":"Report: vi, 20 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-164416","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":465637,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1204/images"},{"id":465638,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1204/full"},{"id":465634,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1204/coverthb.jpg"},{"id":465635,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1204/dr1204.pdf","text":"Report","size":"2.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":465636,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1204/dr1204.XML"},{"id":465639,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H2ZSSY","text":"USGS Data Release","description":"Wood, D.A., Mitelberg, A., and Vandergast, A.G., 2022, Microsatellite loci for Mogollon narrowheaded gartersnake (Thamnophis rufipunctatus) and the northern Mexican gartersnake (Thamnophis eques megalops) in Arizona and New Mexico (2020–2021): U.S. Geological Survey data release, https://doi.org/10.5066/P9H2ZSSY.","linkHelpText":"Microsatellite loci for Mogollon narrowheaded gartersnake (<i>Thamnophis rufipunctatus</i>) and the northern Mexican gartersnake (<i>Thamnophis eques megalops</i>) in Arizona and New Mexico (2020–2021)"}],"country":"United States","state":"Arizona","otherGeospatial":"Phoenix Zoo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.95270127458403,\n              33.4530166968578\n            ],\n            [\n              -111.95270127458403,\n              33.44689855407047\n            ],\n            [\n              -111.94059384122394,\n              33.44689855407047\n            ],\n            [\n              -111.94059384122394,\n              33.4530166968578\n            ],\n            [\n              -111.95270127458403,\n              33.4530166968578\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgements</li><li>Introduction</li><li>Methods</li><li>Results and Discussion</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Microsatellite Locus, Multiplex Polymerase Chain Reaction Group Number, Percent Missing Data, Allelic Diversity, Observed and Expected Heterozygosity, and Frequency of Null Alleles of 125 Microsatellite Loci Genotyped Across Four <i><em>Thamnophis rufipunctatus</em></i> Populations</li><li>Appendix 2. Breeding Adult Relatedness Estimates</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2025-01-10","noUsgsAuthors":false,"publicationDate":"2025-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitelberg, Anna 0000-0002-3309-9946 amitelberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3309-9946","contributorId":218945,"corporation":false,"usgs":true,"family":"Mitelberg","given":"Anna","email":"amitelberg@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922326,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263508,"text":"70263508 - 2025 - Validation of the U37K' paleotemperature proxy in the South Brazilian Bight from core-top sediments","interactions":[],"lastModifiedDate":"2025-02-13T16:31:32.476594","indexId":"70263508","displayToPublicDate":"2025-01-09T10:24:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Validation of the U37K' paleotemperature proxy in the South Brazilian Bight from core-top sediments","docAbstract":"<p><span>The paleothermometer based on the alkenone unsaturation index (</span><span class=\"math\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msubsup is=&quot;true&quot;><mtext is=&quot;true&quot;>U</mtext><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>37</mtext></mrow><msup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>K</mtext></mrow><mo is=&quot;true&quot;>&amp;#x2032;</mo></msup></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">U37K′</span></span></span><span>) is often used to reconstruct past sea surface temperatures (SST). In the SW Atlantic Ocean, however, a limited understanding of the seasonal and depth distribution of coccolithophores, which generates the&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msubsup is=&quot;true&quot;><mtext is=&quot;true&quot;>U</mtext><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>37</mtext></mrow><msup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>K</mtext></mrow><mo is=&quot;true&quot;>&amp;#x2032;</mo></msup></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">U37K′</span></span></span><span>&nbsp;signal preserved in ocean sediments, hinders accurate estimates of past regional SSTs. We analyzed 45 core-top sediment samples from the continental shelf of the South Brazilian Bight (SBB, 23 °S to 28 °S) to assess regional spatial&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msubsup is=&quot;true&quot;><mtext is=&quot;true&quot;>U</mtext><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>37</mtext></mrow><msup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>K</mtext></mrow><mo is=&quot;true&quot;>&amp;#x2032;</mo></msup></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">U37K′</span></span></span><span>-SST gradients and improve SST estimates. The&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-9-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msubsup is=&quot;true&quot;><mtext is=&quot;true&quot;>U</mtext><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>37</mtext></mrow><msup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>K</mtext></mrow><mo is=&quot;true&quot;>&amp;#x2032;</mo></msup></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">U37K′</span></span></span><span>&nbsp;data were converted to SST using six published paleotemperature equations and compared to modern observational SST data from the World Ocean Atlas (2018) data set. Data indicate that the&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-10-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msubsup is=&quot;true&quot;><mtext is=&quot;true&quot;>U</mtext><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>37</mtext></mrow><msup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>K</mtext></mrow><mo is=&quot;true&quot;>&amp;#x2032;</mo></msup></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">U37K′</span></span></span><span>&nbsp;signal is produced during the austral summer and autumn when regional episodic upwelling events occur over the inner-shelf and the nutricline shoals at the slope. Our analysis of core-top data shows that SST estimates derived from most calibration equations closely align with modern observed temperatures but are skewed toward warmer months associated with upwelling-derived nutrients. Our findings underscore the importance of considering regional and seasonal biases to improve the accuracy of paleotemperature reconstructions. Understanding the factors influencing the SBB&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-11-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msubsup is=&quot;true&quot;><mtext is=&quot;true&quot;>U</mtext><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>37</mtext></mrow><msup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>K</mtext></mrow><mo is=&quot;true&quot;>&amp;#x2032;</mo></msup></msubsup></math>\"><span class=\"MJX_Assistive_MathML\">U37K′</span></span></span><span>&nbsp;signal enables a more meaningful comparison between regional paleoceanographic studies, improving our understanding of past changes in the SW Atlantic Ocean and our ability to predict regional SST response to ongoing and future warming.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2025.104928","usgsCitation":"Stanchak, F., Richey, J.N., Gerotto, A., Shevenell, A., Bicego, M., Toledo, F., de Mahiques, M., and Nagai, R., 2025, Validation of the U37K' paleotemperature proxy in the South Brazilian Bight from core-top sediments: Organic Geochemistry, v. 200, 104928, 9 p., https://doi.org/10.1016/j.orggeochem.2025.104928.","productDescription":"104928, 9 p.","ipdsId":"IP-142195","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":482037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"South Brazilian Bight","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -50,\n              -22\n            ],\n            [\n              -50,\n              -28\n            ],\n            [\n              -40,\n              -28\n            ],\n            [\n              -40,\n              -22\n            ],\n            [\n              -50,\n              -22\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"200","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stanchak, Felipe","contributorId":350942,"corporation":false,"usgs":false,"family":"Stanchak","given":"Felipe","affiliations":[],"preferred":false,"id":927222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":174046,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":927223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerotto, Amanda","contributorId":350898,"corporation":false,"usgs":false,"family":"Gerotto","given":"Amanda","affiliations":[{"id":83867,"text":"Center for Marine Studies, University of Paraná, PR, Brazil","active":true,"usgs":false}],"preferred":false,"id":927224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shevenell, Amelia","contributorId":350899,"corporation":false,"usgs":false,"family":"Shevenell","given":"Amelia","affiliations":[{"id":83868,"text":"University of South Florida, College of Marine Science","active":true,"usgs":false}],"preferred":false,"id":927225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bicego, Marcia C.","contributorId":350900,"corporation":false,"usgs":false,"family":"Bicego","given":"Marcia C.","affiliations":[{"id":83869,"text":"Oceanographic Institute, University of Sao Paulo, SP, Brazil","active":true,"usgs":false}],"preferred":false,"id":927226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Toledo, Felipe A.","contributorId":350901,"corporation":false,"usgs":false,"family":"Toledo","given":"Felipe A.","affiliations":[{"id":83869,"text":"Oceanographic Institute, University of Sao Paulo, SP, Brazil","active":true,"usgs":false}],"preferred":false,"id":927227,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"de Mahiques, Michel M.","contributorId":350902,"corporation":false,"usgs":false,"family":"de Mahiques","given":"Michel M.","affiliations":[{"id":83870,"text":"Oceanographic Institute of the University of São Paulo, São Paulo, SP, Brazil.","active":true,"usgs":false}],"preferred":false,"id":927228,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nagai, Renata H.","contributorId":350903,"corporation":false,"usgs":false,"family":"Nagai","given":"Renata H.","affiliations":[{"id":83871,"text":"University of Sao Paulo, Oceanographic Institute (Brazil)","active":true,"usgs":false}],"preferred":false,"id":927229,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263325,"text":"70263325 - 2025 - Site-level connectivity identified from multiple sources of movement data to inform conservation of a migratory bird","interactions":[],"lastModifiedDate":"2025-02-06T16:15:44.437285","indexId":"70263325","displayToPublicDate":"2025-01-08T10:10:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Site-level connectivity identified from multiple sources of movement data to inform conservation of a migratory bird","docAbstract":"<ol class=\"\"><li>Migratory birds depend on a suite of sites across their annual cycles, making them vulnerable to a wide variety of anthropogenic pressures. Current area-based conservation measures have been found inadequate to safeguard migratory birds, in part due to a lack of consideration for the connectivity between sites mediated by the movements of individuals.</li><li>To address this issue, we develop a network analysis integrating different types of individual movement data for a migratory shorebird, the Black-tailed Godwit (<i>Limosa limosa</i>), across the East Atlantic Flyway. Leveraging metal-ring recoveries, colour-ring re-sightings and satellite tracking from over 10,000 individual godwits, we quantify variation in connectivity between sites across the migratory range, using two weighted metrics to address sampling biases.</li><li>Colour-ring re-sightings provided the largest number of sites (70%) and links (60% and 43% per season) overall, followed by tracking data (50% of sites, 49% and 63% of links per season) and ring recoveries (25% of sites, &lt;1% of links per season), with clear regional variation in datatype contributions. Sampling completeness of the network structure varied with longitude, with information particularly lacking in central and eastern countries of both Europe and Africa.</li><li>We identified 49 sites playing a disproportionate role in the site network, each with direct connections to 48 (interquartile range 32–84) other sites, on average. Just 23 (47%) top sites are formally recognized for their international importance for Black-tailed Godwits, and 33 (67%) were robust to sampling incompleteness. Across all 1058 sites, 20% lacked protected area coverage, and per site, 44% (44% ± SD) of bird relocations fell within protected areas.</li><li>Integrating multiple sources of data improved geographical coverage and completeness of the site network, allowing us to quantify the importance of sites in terms of connectivity across the flyway. Our results highlight shortcomings of existing area-based conservation measures and add value to ongoing efforts to identify important sites for migratory birds.</li><li><i>Policy implications</i>. The increasing availability of individual movement data provides valuable opportunities to reveal the inter-dependence of sites used by migratory species, which can help identify priority areas and facilitate flyway-scale management.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14839","usgsCitation":"Beal, M., Nightingale, J., Belo, J., Batey, C., Belting, H., Bocher, P., Burgess, M., Craft, T., Crockford, N., Delaporte, P., Donaldson, L., Gelinaud, G., Gill, J., Gunnarsson, T., Morrison, B.J., Gutierrez, J., Hooijmeijer, J., Howison, R., Hunke, P., Jomat, L., Lemke, H., Ludwig, J.P., Majoor, F., Marlow, C., Masero, J., Melter, J., Nicholson, I., Parejo, M., O'Mahony, B., Pasanen, E., Pessa, J., Piersma, T., Rocha, A., Robin, F., Roodbergen, M., Rousseau, P., Salewski, V., Schmidt, L., Smart, J., Staneva, A., Tibbitts, T., Timonen, S., Alves, J., and Dias, M., 2025, Site-level connectivity identified from multiple sources of movement data to inform conservation of a migratory bird: Journal of Applied Ecology, v. 62, no. 2, p. 303-316, https://doi.org/10.1111/1365-2664.14839.","productDescription":"14 p.","startPage":"303","endPage":"316","ipdsId":"IP-166262","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":492043,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.rug.nl/en/publications/9554b274-b747-4a98-9e8e-6af246cca9cb","text":"External Repository"},{"id":481749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Beal, M.","contributorId":350559,"corporation":false,"usgs":false,"family":"Beal","given":"M.","affiliations":[{"id":83771,"text":"cE3c - Centre for Ecology, Evolution and Environmental Changes","active":true,"usgs":false}],"preferred":false,"id":926346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nightingale, J.","contributorId":350560,"corporation":false,"usgs":false,"family":"Nightingale","given":"J.","affiliations":[{"id":83772,"text":"South Iceland Research Centre, University of Iceland","active":true,"usgs":false}],"preferred":false,"id":926347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belo, J.R.","contributorId":350561,"corporation":false,"usgs":false,"family":"Belo","given":"J.R.","affiliations":[{"id":18873,"text":"University of Aveiro","active":true,"usgs":false}],"preferred":false,"id":926348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batey, C.","contributorId":350562,"corporation":false,"usgs":false,"family":"Batey","given":"C.","affiliations":[{"id":68944,"text":"RSPB Centre for Conservation Science","active":true,"usgs":false}],"preferred":false,"id":926349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belting, H.","contributorId":350563,"corporation":false,"usgs":false,"family":"Belting","given":"H.","affiliations":[{"id":83773,"text":"Niedersächsischer Landesbetrieb für Wasserwirtschaft, Küsten- und Naturschutz, Naturschutzstation Dümmer","active":true,"usgs":false}],"preferred":false,"id":926350,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bocher, P.","contributorId":350564,"corporation":false,"usgs":false,"family":"Bocher","given":"P.","affiliations":[{"id":36199,"text":"La Rochelle University","active":true,"usgs":false}],"preferred":false,"id":926351,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burgess, M.","contributorId":350565,"corporation":false,"usgs":false,"family":"Burgess","given":"M.","affiliations":[{"id":68944,"text":"RSPB Centre for Conservation Science","active":true,"usgs":false}],"preferred":false,"id":926352,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Craft, T.B.","contributorId":350566,"corporation":false,"usgs":false,"family":"Craft","given":"T.B.","affiliations":[{"id":62095,"text":"University of Groningen","active":true,"usgs":false}],"preferred":false,"id":926353,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Crockford, N.","contributorId":350567,"corporation":false,"usgs":false,"family":"Crockford","given":"N.","affiliations":[{"id":68944,"text":"RSPB Centre for Conservation Science","active":true,"usgs":false}],"preferred":false,"id":926354,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Delaporte, P.","contributorId":350568,"corporation":false,"usgs":false,"family":"Delaporte","given":"P.","affiliations":[{"id":83774,"text":"Ligue pour la Protection des Oiseaux (LPO)","active":true,"usgs":false}],"preferred":false,"id":926355,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Donaldson, L.","contributorId":350569,"corporation":false,"usgs":false,"family":"Donaldson","given":"L.","affiliations":[{"id":83775,"text":"Waterfowl Wetlands Trust","active":true,"usgs":false}],"preferred":false,"id":926356,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gelinaud, G.","contributorId":350570,"corporation":false,"usgs":false,"family":"Gelinaud","given":"G.","affiliations":[{"id":83776,"text":"Bretagne Vivante, Réserve Naturelle des marais de Séné","active":true,"usgs":false}],"preferred":false,"id":926357,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gill, J.A.","contributorId":350571,"corporation":false,"usgs":false,"family":"Gill","given":"J.A.","affiliations":[{"id":83777,"text":"School of Biological Sciences, University of East Anglia","active":true,"usgs":false}],"preferred":false,"id":926358,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gunnarsson, T.G.","contributorId":350572,"corporation":false,"usgs":false,"family":"Gunnarsson","given":"T.G.","affiliations":[{"id":83772,"text":"South Iceland Research Centre, University of Iceland","active":true,"usgs":false}],"preferred":false,"id":926359,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Morrison, B. J.","contributorId":302321,"corporation":false,"usgs":false,"family":"Morrison","given":"B.","email":"","middleInitial":"J.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":926360,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Gutierrez, J.S.","contributorId":350573,"corporation":false,"usgs":false,"family":"Gutierrez","given":"J.S.","affiliations":[{"id":83778,"text":"Ecology in the Anthropocene, Associated Unit CSIC-UEX, Faculty of Sciences, University of Extremadura","active":true,"usgs":false}],"preferred":false,"id":926361,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hooijmeijer, J.","contributorId":350574,"corporation":false,"usgs":false,"family":"Hooijmeijer","given":"J.","affiliations":[{"id":62095,"text":"University of Groningen","active":true,"usgs":false}],"preferred":false,"id":926362,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Howison, R.A.","contributorId":350575,"corporation":false,"usgs":false,"family":"Howison","given":"R.A.","affiliations":[{"id":83779,"text":"Knowledge Infrastructures Department, Campus Fryslân, University of Groningen","active":true,"usgs":false}],"preferred":false,"id":926363,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hunke, P.","contributorId":350576,"corporation":false,"usgs":false,"family":"Hunke","given":"P.","affiliations":[{"id":83780,"text":"Michael-Otto-Institut im NABU","active":true,"usgs":false}],"preferred":false,"id":926364,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Jomat, L.","contributorId":350577,"corporation":false,"usgs":false,"family":"Jomat","given":"L.","affiliations":[{"id":83774,"text":"Ligue pour la Protection des Oiseaux (LPO)","active":true,"usgs":false}],"preferred":false,"id":926365,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Lemke, H.","contributorId":350578,"corporation":false,"usgs":false,"family":"Lemke","given":"H.","affiliations":[{"id":83781,"text":"Niedersächsischer Landesbetrieb für Wasserwirtschaft, Küsten- und Naturschutz","active":true,"usgs":false}],"preferred":false,"id":926366,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Ludwig, J. P.","contributorId":176342,"corporation":false,"usgs":false,"family":"Ludwig","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":926367,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Majoor, F.A.","contributorId":350579,"corporation":false,"usgs":false,"family":"Majoor","given":"F.A.","affiliations":[{"id":83782,"text":"Sovon Dutch Centre for Field Ornithology","active":true,"usgs":false}],"preferred":false,"id":926368,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Marlow, C.","contributorId":350580,"corporation":false,"usgs":false,"family":"Marlow","given":"C.","affiliations":[{"id":83783,"text":"Niedersächsischer Landesbetrieb für Wasserwirtschaft, Küsten- und Naturschutz, Naturschutzstation Unterelbe","active":true,"usgs":false}],"preferred":false,"id":926369,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Masero, J.A.","contributorId":350581,"corporation":false,"usgs":false,"family":"Masero","given":"J.A.","affiliations":[{"id":83778,"text":"Ecology in the Anthropocene, Associated Unit CSIC-UEX, Faculty of Sciences, University of Extremadura","active":true,"usgs":false}],"preferred":false,"id":926370,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Melter, J.","contributorId":350582,"corporation":false,"usgs":false,"family":"Melter","given":"J.","affiliations":[{"id":83784,"text":"Bio-Consult GbR","active":true,"usgs":false}],"preferred":false,"id":926371,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Nicholson, I.","contributorId":350583,"corporation":false,"usgs":false,"family":"Nicholson","given":"I.","affiliations":[{"id":83785,"text":"Humber Wader Ringing Group","active":true,"usgs":false}],"preferred":false,"id":926372,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Parejo, M.","contributorId":350584,"corporation":false,"usgs":false,"family":"Parejo","given":"M.","affiliations":[{"id":83786,"text":"Conservation Biology Research Group, University of Extremadura","active":true,"usgs":false}],"preferred":false,"id":926373,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"O'Mahony, B.","contributorId":350585,"corporation":false,"usgs":false,"family":"O'Mahony","given":"B.","affiliations":[{"id":34928,"text":"Independent Researcher","active":true,"usgs":false}],"preferred":false,"id":926374,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Pasanen, E.","contributorId":350586,"corporation":false,"usgs":false,"family":"Pasanen","given":"E.","affiliations":[{"id":34928,"text":"Independent Researcher","active":true,"usgs":false}],"preferred":false,"id":926375,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Pessa, 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Lee 0000-0002-0290-7592","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":224104,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T. Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":926386,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Timonen, S.","contributorId":350597,"corporation":false,"usgs":false,"family":"Timonen","given":"S.","affiliations":[{"id":83787,"text":"Center for Economic development, Transport and the Environment","active":true,"usgs":false}],"preferred":false,"id":926387,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Alves, J.A.","contributorId":350598,"corporation":false,"usgs":false,"family":"Alves","given":"J.A.","affiliations":[{"id":18873,"text":"University of Aveiro","active":true,"usgs":false}],"preferred":false,"id":926388,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Dias, M.P.","contributorId":350599,"corporation":false,"usgs":false,"family":"Dias","given":"M.P.","affiliations":[{"id":83771,"text":"cE3c - Centre for Ecology, Evolution and Environmental Changes","active":true,"usgs":false}],"preferred":false,"id":926389,"contributorType":{"id":1,"text":"Authors"},"rank":44}]}}
,{"id":70261983,"text":"sir20245119 - 2025 - Decision analysis in support of the National Elk Refuge bison and elk management plan","interactions":[{"subject":{"id":70261162,"text":"sir20245119A - 2025 - Decision framing overview and performance of management alternatives for bison and elk feedground management at the National Elk Refuge in Jackson, Wyoming","indexId":"sir20245119A","publicationYear":"2025","noYear":false,"chapter":"A","displayTitle":"Decision Framing Overview and Performance of Management Alternatives for Bison and Elk Feedground Management at the National Elk Refuge in Jackson, Wyoming","title":"Decision framing overview and performance of management alternatives for bison and elk feedground management at the National Elk Refuge in Jackson, Wyoming"},"predicate":"IS_PART_OF","object":{"id":70261983,"text":"sir20245119 - 2025 - Decision analysis in support of the National Elk Refuge bison and elk management plan","indexId":"sir20245119","publicationYear":"2025","noYear":false,"title":"Decision analysis in support of the National Elk Refuge bison and elk management plan"},"id":1},{"subject":{"id":70261163,"text":"sir20245119B - 2025 - Predictions of elk and chronic wasting disease dynamics at the National Elk Refuge in Jackson, Wyoming, and surrounding areas","indexId":"sir20245119B","publicationYear":"2025","noYear":false,"chapter":"B","displayTitle":"Predictions of Elk and Chronic Wasting Disease Dynamics in the National Elk Refuge in Jackson, Wyoming, and Surrounding Areas","title":"Predictions of elk and chronic wasting disease dynamics at the National Elk Refuge in Jackson, Wyoming, and surrounding areas"},"predicate":"IS_PART_OF","object":{"id":70261983,"text":"sir20245119 - 2025 - Decision analysis in support of the National Elk Refuge bison and elk management plan","indexId":"sir20245119","publicationYear":"2025","noYear":false,"title":"Decision analysis in support of the National Elk Refuge bison and elk management plan"},"id":2},{"subject":{"id":70261164,"text":"sir20245119C - 2025 - Evaluating elk distribution and conflict under proposed management alternatives at the National Elk Refuge in Jackson, Wyoming","indexId":"sir20245119C","publicationYear":"2025","noYear":false,"chapter":"C","displayTitle":"Evaluating Elk Distribution and Conflict Under Proposed Management Alternatives at the National Elk Refuge in Jackson, Wyoming","title":"Evaluating elk distribution and conflict under proposed management alternatives at the National Elk Refuge in Jackson, Wyoming"},"predicate":"IS_PART_OF","object":{"id":70261983,"text":"sir20245119 - 2025 - Decision analysis in support of the National Elk Refuge bison and elk management plan","indexId":"sir20245119","publicationYear":"2025","noYear":false,"title":"Decision analysis in support of the National Elk Refuge bison and elk management plan"},"id":3},{"subject":{"id":70261165,"text":"sir20245119D - 2025 - Bison population dynamics, harvest, and conflict potential under feedground management alternatives at the National Elk Refuge in Jackson, Wyoming","indexId":"sir20245119D","publicationYear":"2025","noYear":false,"chapter":"D","displayTitle":"Bison Population Dynamics, Harvest, and Human Conflict Potential Under Feedground Management Alternatives at the National Elk Refuge in Jackson, Wyoming","title":"Bison population dynamics, harvest, and conflict potential under feedground management alternatives at the National Elk Refuge in Jackson, Wyoming"},"predicate":"IS_PART_OF","object":{"id":70261983,"text":"sir20245119 - 2025 - Decision analysis in support of the National Elk Refuge bison and elk management plan","indexId":"sir20245119","publicationYear":"2025","noYear":false,"title":"Decision analysis in support of the National Elk Refuge bison and elk management plan"},"id":4},{"subject":{"id":70261166,"text":"sir20245119E - 2025 - Estimating the social and economic consequences of proposed management alternatives at the National Elk Refuge","indexId":"sir20245119E","publicationYear":"2025","noYear":false,"chapter":"E","displayTitle":"Estimating the Social and Economic Consequences of Proposed Management Alternatives at the National Elk Refuge in Jackson, Wyoming","title":"Estimating the social and economic consequences of proposed management alternatives at the National Elk Refuge"},"predicate":"IS_PART_OF","object":{"id":70261983,"text":"sir20245119 - 2025 - Decision analysis in support of the National Elk Refuge bison and elk management plan","indexId":"sir20245119","publicationYear":"2025","noYear":false,"title":"Decision analysis in support of the National Elk Refuge bison and elk management plan"},"id":5},{"subject":{"id":70261983,"text":"sir20245119 - 2025 - Decision analysis in support of the National Elk Refuge bison and elk management plan","indexId":"sir20245119","publicationYear":"2025","noYear":false,"displayTitle":"Decision Analysis in Support of the National Elk Refuge Bison and Elk Management Plan","title":"Decision analysis in support of the National Elk Refuge bison and elk management plan"},"predicate":"SUPERSEDED_BY","object":{"id":70270249,"text":"sir20255076 - 2025 - Decision analysis in support of the National Elk Refuge bison and elk management plan","indexId":"sir20255076","publicationYear":"2025","noYear":false,"title":"Decision analysis in support of the National Elk Refuge bison and elk management plan"},"id":6}],"supersededBy":{"id":70270249,"text":"sir20255076 - 2025 - Decision analysis in support of the National Elk Refuge bison and elk management plan","indexId":"sir20255076","publicationYear":"2025","noYear":false,"title":"Decision analysis in support of the National Elk Refuge bison and elk management plan"},"lastModifiedDate":"2025-08-14T20:11:47.997245","indexId":"sir20245119","displayToPublicDate":"2025-01-08T09:40:00","publicationYear":"2025","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":"2024-5119","displayTitle":"Decision Analysis in Support of the National Elk Refuge Bison and Elk Management Plan","title":"Decision analysis in support of the National Elk Refuge bison and elk management plan","docAbstract":"<h1>Preface&nbsp;</h1><p>This report was developed to evaluate the performance of a set of proposed alternatives for <i>Cervus elaphus canadensis</i> (elk) and <i>Bison bison</i> (bison) management at the National Elk Refuge (NER) in Wyoming, U.S.A., and to inform a National Environmental Policy Act Environmental Impact Statement focused on developing the next “Bison and Elk Management Plan” (BEMP). The U.S. Geological Survey facilitated a structured decision-making process for the U.S. Fish and Wildlife Service to develop the alternatives and the criteria (performance metrics) for evaluating the alternatives. Chapter A provides scoping details of the report, a summary of the 19 metrics that are used to evaluate the performance of each of 5 alternatives, and methodological details of 2 performance metrics that were not covered in other technical chapters. Chapter B analyzes elk population and chronic wasting disease dynamics under the five alternatives. Chapter C evaluates elk space-use based on data collected from global positioning system collars on elk and expert elicitation for scenarios with limited data. Chapter D evaluates bison population dynamics, conflict, and harvest patterns under the five alternatives. Chapter E assesses social and economic consequences. The alternatives are anticipated to have varying affects on bison and elk population abundance and private land use, wildlife-related recreation and tourism, and hunters and outfitters in the region. Each chapter was developed under advisement of a technical team, made up science experts from U.S. Fish and Wildlife Service, National Park Service, U.S. Forest Service, and Wyoming Game and Fish Department.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245119","collaboration":"Prepared in cooperation with the U.S. Departement of Agriculture, National Park Service, U.S. Fish and Wildlife Service, and Wyoming Game Fish Department","programNote":"Ecosystems Missions Area—Biological Threats & Invasive Species Research Program, Environmental Health Program, and the Species Management Research Program","usgsCitation":"Cook, J.D., and Cross, P.C., eds., 2025, Decision analysis in support of the National Elk Refuge bison and elk management plan: U.S. Geological Survey Scientific Investigations Report 2024–5119, 5 chap. (A–E), variously paged, https://doi.org/10.3133/sir20245119.","productDescription":"5 Chapters","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":465873,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5119/coverthb2.jpg"},{"id":465935,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5119/sir20245119.pdf","text":"Report","size":"12.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5119 PDF"}],"contact":"<p>Center Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>12100 Beech Forest Rd., Ste 4039<br>Laurel, MD 20708-4039</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<p><br data-mce-bogus=\"1\"></p>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2025-01-08","noUsgsAuthors":false,"publicationDate":"2025-01-08","publicationStatus":"PW","contributors":{"editors":[{"text":"Cook, Jonathan D. 0000-0001-7000-8727","orcid":"https://orcid.org/0000-0001-7000-8727","contributorId":291411,"corporation":false,"usgs":true,"family":"Cook","given":"Jonathan","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":922549,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":204814,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":922550,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70268241,"text":"70268241 - 2025 - Methylmercury in subarctic amphibians: Environmental gradients, bioaccumulation, and estimated flux","interactions":[],"lastModifiedDate":"2025-06-18T14:27:34.540545","indexId":"70268241","displayToPublicDate":"2025-01-08T09:23:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17090,"text":"Environmental Toxicology & Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Methylmercury in subarctic amphibians: Environmental gradients, bioaccumulation, and estimated flux","docAbstract":"<p><span>Rapid warming in polar regions is causing large changes to ecosystems, including altering environmentally available mercury (Hg). Although subarctic freshwater systems have simple vertebrate communities, Hg in amphibians remains unexplored. We measured total Hg (THg) in wetland sediments and methylmercury (MeHg) in multiple life-stages (eggs to adults) of wood frogs (</span><i>Rana sylvatica</i><span>) and larval boreal chorus frogs (</span><i>Pseudacris maculata</i><span>) from up to 25 wetlands near Churchill, Manitoba (Canada), during the summers of 2018–2019. We used egg mass counts for wood frogs from 24 wetlands (2015–2019) and per-ovum MeHg concentrations to estimate site-level MeHg flux by metamorphs from wetlands to the terrestrial environment. Total Hg in wetland sediment was unrelated to MeHg concentrations of amphibian larvae, but sediment THg increased with from coastal tundra vegetation to inland boreal forests. Methylmercury concentrations of wood frog eggs (geometric mean = 35.9; range: 6.7–77.9 ng/g dry wt) exceeded previous reports for amphibians, including from sites contaminated by industrial sources of Hg. Methylmercury concentrations of adult wood frogs (298.9 ng/g dry wt) were also higher than that for frogs included in a recent assessment of MeHg in amphibians across the contiguous United States. Within wetlands, MeHg concentrations of wood frog larvae were strongly correlated with MeHg concentrations in eggs earlier in the summer, and concentrations increased with each life stage. We estimate there would have been 1,971.8–3,286.4 ng MeHg exported from wetlands by wood frog metamorphs, which is 3.4–5.6 times more MeHg than inputted by eggs. Collectively, these data provide an initial assessment of Hg concentrations, body burdens, and dynamics in subarctic food webs that are expected to experience large changes from climate warming.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgae064","usgsCitation":"Hossack, B., Davenport, J., Mattison, C., Eagles-Smith, C., Fishback, L., Tornabene, B.J., and Smalling, K., 2025, Methylmercury in subarctic amphibians: Environmental gradients, bioaccumulation, and estimated flux: Environmental Toxicology & Chemistry, v. 44, no. 3, p. 698-709, https://doi.org/10.1093/etojnl/vgae064.","productDescription":"12 p.","startPage":"698","endPage":"709","ipdsId":"IP-170482","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":491311,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14UMZWU","text":"USGS data release","linkHelpText":"Mercury concentrations in amphibian tissues and egg masses, fish tissues and sediment in subarctic, freshwater systems near Churchill, Manitoba, 2015-2019"},{"id":490984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgae064","text":"Publisher Index Page"},{"id":490908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Manitoba","city":"Churchill","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.40520702649708,\n              58.83132452633623\n            ],\n            [\n              -94.40520702649708,\n              58.118858293984744\n            ],\n            [\n              -93.02201690701777,\n              58.118858293984744\n            ],\n            [\n              -93.02201690701777,\n              58.83132452633623\n            ],\n            [\n              -94.40520702649708,\n              58.83132452633623\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":940571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davenport, Jon M.","contributorId":126727,"corporation":false,"usgs":false,"family":"Davenport","given":"Jon M.","affiliations":[{"id":6583,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, USA 59812","active":true,"usgs":false}],"preferred":false,"id":940572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mattison, C. Kabryn","contributorId":346501,"corporation":false,"usgs":false,"family":"Mattison","given":"C. Kabryn","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":940573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":940574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fishback, LeeAnn","contributorId":168514,"corporation":false,"usgs":false,"family":"Fishback","given":"LeeAnn","email":"","affiliations":[{"id":25316,"text":"Churchill Northern Studies Centre, P.O. Box 610, Churchill, Manitoba, R0B 0E0, Canada","active":true,"usgs":false}],"preferred":false,"id":940575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tornabene, Brian J. 0000-0002-2348-3119","orcid":"https://orcid.org/0000-0002-2348-3119","contributorId":303977,"corporation":false,"usgs":true,"family":"Tornabene","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940576,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smalling, Kelly 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940577,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70262007,"text":"70262007 - 2025 - Diverging trends in nitrate and phosphorus loads and yields across Illinois watersheds, 1997–2022","interactions":[],"lastModifiedDate":"2025-01-10T15:05:18.2683","indexId":"70262007","displayToPublicDate":"2025-01-08T09:02:22","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Diverging trends in nitrate and phosphorus loads and yields across Illinois watersheds, 1997–2022","docAbstract":"<p><span>Illinois is a major contributor of nutrients to the northern Gulf of Mexico. As such, the State of Illinois initiated efforts to curb nutrient runoff over the last several decades. To evaluate progress towards these reductions, water-quality data were used to estimate incremental loads and yields of nitrate plus nitrite (NO3) and total phosphorus (TP) from 1997–2022 for 49 Illinois watersheds, defined using eight-digit hydrologic unit codes (HUC8), draining to the Mississippi River Basin. To estimate changes in NO3 and TP loads, recent loads from the period 2018 through 2022 were compared to baseline loads from 1997 through 2011. Nonpoint and point source loads, dissolved phosphorus (DP) loads, and water yields were also estimated. The sum of the incremental NO3 loads from the 49 HUC8s decreased 9% despite a 19% increase in water yield. Much of this decline occurred in HUC8s that had NO3 yields greater than 17 pounds per acre per year (lbs/acre/yr) during a 1997–2011 baseline period. The sum of all incremental HUC8 TP loads increased 25% despite a 27% reduction in point source discharge. Loads and yields were substantially larger for both NO3 and TP in the Chicago area. Outside the Chicago area, central and northern Illinois had higher NO3 yields than southern Illinois and a reverse pattern for TP where higher yields occur in southern Illinois. Nonpoint sources made up an estimated 82% and 78% of the NO3 and TP yields, respectively, across the HUC8s. In general, point source yields have mostly decreased over time, while nonpoint source yields varied depending on location and reflect the changes in the total yield.</span></p>","language":"English","publisher":"EarthArXiv","doi":"10.31223/X50H77","usgsCitation":"Kamrath, B.J., Murphy, J.C., Schafer, L.A., Podzorski, H.L., and McIsaac, G.F., 2025, Diverging trends in nitrate and phosphorus loads and yields across Illinois watersheds, 1997–2022: EarthArXiv, https://doi.org/10.31223/X50H77.","productDescription":"58 p.","ipdsId":"IP-173038","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":494049,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1DGQ9TY","text":"USGS data release","linkHelpText":"Illinois Watershed Nutrients Interactive Dashboard"},{"id":466660,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.31223/x50h77","text":"External 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