Protection of critically endangered species requires identification of factors limiting their survival and growth. Previous studies have demonstrated that unionid mussels are sensitive to some chemicals and the sensitivity was similar among different taxonomic families and tribes of mussels. However, common species of mussels were generally used in these previous studies; little is known about the sensitivity of endangered and threatened mussels relative to common species. The objective of this study was to evaluate the sensitivity of a critically endangered mussel (Tennessee bean, Venustaconcha trabalis) to seven chemicals with different modes of toxic action (ammonia, chloride, nitrite, potassium, cobalt, manganese, nickel) in acute 96-h exposures and to three chemicals (nitrite, cobalt, iron) in chronic 28-d exposures conducted following standard methods. A commonly tested mussel (fatmucket, Lampsilis siliquoidea) was also tested side-by-side with Tennessee bean in chronic exposures. Test chemicals were selected based on (1) chemicals of potential concern found in a review of existing data for the river where a population of Tennessee bean occurs or was historically present, (2) chemicals to which other mussels are sensitive, or (3) chemicals that had not been previously tested with mussels. Acute 50% effect concentrations (EC50s) for the seven chemicals from the Tennessee bean tests were within or close to the range of EC50s for other mussel species tested in previous studies, and chronic 20% effect concentrations for the three chemicals were similar between Tennessee bean and fatmucket, indicating the endangered species has sensitivity similar to other tested mussel species. Inclusion of the new mussel data in existing toxicity databases for freshwater organisms would rank one or more mussel species among the four most sensitive species to ammonia, chloride, potassium, and nickel in acute exposures and to nitrite, cobalt, and iron in chronic exposures.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgae092","usgsCitation":"Wang, N., Ivey, C.D., Cleveland, D.M., Kunz, J.L., Schapansky, R., Lane, T.W., and Barnhart, M., 2025, Evaluation of the sensitivity of a federally endangered freshwater mussel (Venustaconcha trabalis) to selected chemicals: Environmental Toxicology and Chemistry, https://doi.org/10.1093/etojnl/vgae092.","ipdsId":"IP-170240","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":487701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgae092","text":"Publisher Index Page"},{"id":482561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schapansky, Rebecca","contributorId":351559,"corporation":false,"usgs":false,"family":"Schapansky","given":"Rebecca","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":928914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, Timothy W.","contributorId":333081,"corporation":false,"usgs":false,"family":"Lane","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":79722,"text":"Virginia Department of Wildlife Resoures","active":true,"usgs":false}],"preferred":false,"id":928915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnhart, M. 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Christopher","affiliations":[],"preferred":false,"id":928916,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263985,"text":"70263985 - 2025 - Predictive regressive models of recent marsh sediment thickness improve the quantification of coastal marsh sediment budgets","interactions":[],"lastModifiedDate":"2025-05-13T15:57:02.42202","indexId":"70263985","displayToPublicDate":"2025-01-06T09:16:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20195,"text":"Applied Computing and Geosciences.","active":true,"publicationSubtype":{"id":10}},"title":"Predictive regressive models of recent marsh sediment thickness improve the quantification of coastal marsh sediment budgets","docAbstract":"Coastal marsh wetlands experience variations in vertical gains and losses through time, which have allowed them to infill relict topography and record variations in drivers. The stratigraphic unit associated with the development of the marsh also reflects the long-term importance of key ecosystem services supplied by the marsh environment, including carbon storage and storm mitigation. Mapping these coastal wetland sediments and the marsh unit thickness is challenging as traditional coastal geophysical tools are not easily deployable (acoustic methods) or are unreliable in saline-soil environments (e.g., ground-penetrating radar), leaving core-based methods the most viable mapping method. In the present study, we utilized prior information on the geologic architecture of the region to select spatial and physical metrics that likely persisted throughout evolution of the marsh during the late Holocene. We then assessed the individual and collective power of these metrics to predict marsh thickness observed from cores. Employing regressive predictive models powered by these data, we improve the quantification of marsh thickness for a coastal fringing marsh within the Grand Bay estuary in Mississippi and Alabama (USA). The information gained from this approach yields improved estimates of the carbon stocks in this environment. Additionally, the stored sediment masses reflect the past, and potential future, persistence of the Grand Bay marsh under historical and present marsh-estuarine sediment exchange fluxes. Such improvements to both the sediment budget of recent marsh stratigraphic units and the spatial extent provide new resources for comparison with large-scale landscape models, the latter of which may be used, when validated, to predict future change and ecosystem transformations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.acags.2024.100215","usgsCitation":"Smith, C., Bernier, J., Ellis, A.M., and Smith, K., 2025, Predictive regressive models of recent marsh sediment thickness improve the quantification of coastal marsh sediment budgets: Applied Computing and Geosciences., v. 25, 100215, 12 p., https://doi.org/10.1016/j.acags.2024.100215.","productDescription":"100215, 12 p.","ipdsId":"IP-168346","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":490116,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.acags.2024.100215","text":"Publisher Index Page"},{"id":482794,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama. 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This represents a challenge to environmental managers, who must prioritize chemicals for management actions (e.g., restriction, regulation, remediation) but are often hindered by resource limitations. To help facilitate prioritization efforts, this study presents several strategies for deriving environmental hazard concentrations using publicly accessible data and open-source computational tools. Using a Great Lakes tributaries aquatic monitoring dataset as a case study, environmental hazard concentrations were obtained or derived for 334 organic chemicals. These concentrations were based on (1) current water quality guidelines; (2) apical screening values; (3) apical and (4) nonapical effect concentrations from the ECOTOXicology Knowledgebase; (5) in vitro effect concentrations from the ToxCast database; (6) cytotoxic burst concentrations collated from the Comptox Dashboard; (7) “estimated screening values” derived from modeled or estimated data and available from various regulatory and nonregulatory agencies; (8) pharmaceutical potency estimates from the MaPPFAST database; and (9) quantitative structure-activity relationship (QSAR)–derived acute toxicity estimates. Environmental fate data included aquatic half-lives and bioconcentration factors collated from the Comptox Dashboard or estimated using QSARs. To identify patterns that could be used for characterization, availability of ecotoxicological concentrations and environmental fate data were evaluated. Furthermore, exceedances of hazard concentrations were evaluated and compared across diverse ecotoxicological data types. Altogether, by providing detailed methodology and practical examples generated with real monitoring data, this study demonstrated that these hazard concentration derivation strategies can be efficiently and effectively used with large, complex datasets and identified critical considerations for future prioritization efforts.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgae002","usgsCitation":"Maloney, E., Corsi, S., Pronschinske, M.A., DeCicco, L.A., Nott, M.A., Frisch, J.R., Fuller, N.W., Baldwin, A.K., Kimbrough, K., Edwards, M., Hummel, S.L., Vinas, N., and Villeneuve, D.L., 2025, Derivation and characterization of environmental hazard concentrations for chemical prioritization: A case study in the Great Lakes tributaries: Environmental Toxicology and Chemistry, https://doi.org/10.1093/etojnl/vgae002.","ipdsId":"IP-160548","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":482440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": 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effluent","interactions":[],"lastModifiedDate":"2025-09-16T15:17:24.885811","indexId":"70271467","displayToPublicDate":"2025-01-06T08:09:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Potential for biological effects of per- and polyfluoroalkyl substances in Great Lakes tributaries and associations with land cover and wastewater effluent","docAbstract":"Surface water concentrations of per- and polyfluoroalkyl substances (PFAS) and potential for resulting biological effects were estimated in a study using polar organic chemical integrative samplers (POCIS) from 60 tributary sites within 20 watersheds in the Great Lakes Basin in 2018. Sites represented a range of urban to agricultural, forested, and wetland land uses and included a gradient of wastewater treatment effluent from zero to 44% of annual streamflow. Several sites also had airport influence. Twenty-one of 32 targeted PFAS compounds were detected in POCIS samplers, of which, 16 had available POCIS sampling rates, enabling time-weighted water concentration estimates and comparison with available effects data. Estimated water concentrations were compared with published water quality guidelines (available for nine PFAS), effect concentrations reported in primary literature within the ECOTOX Knowledgebase for apical endpoints (10 PFAS) and nonapical endpoints (10 PFAS), and in vitro high-throughput screening data from the U.S. Environmental Protection Agency Toxicity Forecaster (ToxCast; 14 PFAS). Based on a conservative evaluation approach that was also weighted for persistence and limitations in available toxicological information, five individual PFAS, including perfluorooctanesulfonic acid, perfluorohexanesulfonic acid, perfluorobutanesulfonic acid, perfluorooctanoic acid, and perfluorononanoic acid were identified as warranting additional investigation. Possible increased potency of PFAS mixtures over individual chemical effects, estimated by summation of exposure-activity ratios (EARs) for chemicals that influence common ToxCast assays and specified gene targets, indicated that EAR values increased up to 5.6-fold over individual chemicals, with up to 14 chemicals contributing to mixture effect predictions. Potential for biological effects from PFAS, as estimated by summed exposure-activity ratios, were correlated with urban land use and the proportion of streamflow contributed by wastewater effluent.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1093/etojnl/vgae053","usgsCitation":"Corsi, S., Loken, L.C., Ankley, G.T., Alvarez, D.A., and Villeneuve, D.L., 2025, Potential for biological effects of per- and polyfluoroalkyl substances in Great Lakes tributaries and associations with land cover and wastewater effluent: Environmental Toxicology and Chemistry, v. 44, no. 6, p. 1706-1722, https://doi.org/10.1093/etojnl/vgae053.","productDescription":"17 p.","startPage":"1706","endPage":"1722","ipdsId":"IP-159605","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":495738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgae053","text":"Publisher Index Page"},{"id":495602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United Staes","otherGeospatial":"Great Lakes tributaries","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.57691865567881,\n 49.80505886092908\n ],\n [\n -92.57691865567881,\n 40.630914911656845\n ],\n [\n -75.84891837004692,\n 40.630914911656845\n ],\n [\n -75.84891837004692,\n 49.80505886092908\n ],\n [\n -92.57691865567881,\n 49.80505886092908\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ankley, Gerald T.","contributorId":361472,"corporation":false,"usgs":false,"family":"Ankley","given":"Gerald","middleInitial":"T.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":948871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948872,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Villeneuve, Daniel L.","contributorId":361475,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","middleInitial":"L.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":948873,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70265972,"text":"70265972 - 2025 - Hydrologic variability and plant composition drive relative abundance of marsh birds at created and reference marshes in southeastern Louisiana, U.S.A.","interactions":[],"lastModifiedDate":"2025-04-22T17:24:42.248319","indexId":"70265972","displayToPublicDate":"2025-01-05T12:21:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic variability and plant composition drive relative abundance of marsh birds at created and reference marshes in southeastern Louisiana, U.S.A.","docAbstract":"Coastal marsh loss occurs at an alarming pace globally, with extremely high rates along the northern Gulf of Mexico, particularly in Louisiana. In Louisiana, marsh creation projects combat wetland loss; however, biotic responses of vegetation and wildlife receive little to no consideration during and after construction. Habitat characteristics such as hydrologic processes, plant composition, and habitat structure affect the abundance of marsh birds, and understanding these features is important when creating suitable habitat for marsh birds. Our study compared hydrologic characteristics, plant composition, and habitat structure between created (n = 10) and reference (n = 9) sites across southeastern Louisiana and determined the relationship of these habitat characteristics to marsh bird relative abundance. We performed bird surveys (n = 766), including call-back surveys for secretive marsh birds, at all sites across three breeding seasons (2021–2023). We used drone imagery to determine plant composition and used water level recording devices to assess hydrologic characteristics. Our results indicate that hydrologic variation and plant composition are drivers of marsh bird relative abundance regardless of whether a marsh is created or not. While some habitat features differed between created and reference sites, our results indicated that created marshes can support similar abundances of marsh birds as reference sites, depending on what habitat features are present at the site. Our study demonstrates the importance of creating marshes that promote hydrologic connectivity and water level variability, which in turn supports diverse emergent vegetation communities and provides suitable habitat for a variety of marsh bird species.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.14376","usgsCitation":"Lipford, A., Moran, L., Fowler, D., and King, S.L., 2025, Hydrologic variability and plant composition drive relative abundance of marsh birds at created and reference marshes in southeastern Louisiana, U.S.A.: Restoration Ecology, v. 33, no. 3, e14376, 14 p., https://doi.org/10.1111/rec.14376.","productDescription":"e14376, 14 p.","ipdsId":"IP-166318","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.14376","text":"Publisher Index Page"},{"id":484855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.68365742439656,\n 30.64538637262305\n ],\n [\n -91.68365742439656,\n 28.66657042786551\n ],\n [\n -88.1916582539898,\n 28.66657042786551\n ],\n [\n -88.1916582539898,\n 30.64538637262305\n ],\n [\n -91.68365742439656,\n 30.64538637262305\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Lipford, Aylett","contributorId":353640,"corporation":false,"usgs":false,"family":"Lipford","given":"Aylett","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":934208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, Leah L.K.","contributorId":353641,"corporation":false,"usgs":false,"family":"Moran","given":"Leah L.K.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":934209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fowler, Drew Nathan 0000-0001-9347-4579","orcid":"https://orcid.org/0000-0001-9347-4579","contributorId":341123,"corporation":false,"usgs":true,"family":"Fowler","given":"Drew Nathan","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934211,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262012,"text":"70262012 - 2025 - Automating physics-based models to estimate thermoelectric-power water use","interactions":[],"lastModifiedDate":"2025-01-10T17:08:02.343623","indexId":"70262012","displayToPublicDate":"2025-01-05T11:02:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Automating physics-based models to estimate thermoelectric-power water use","docAbstract":"Thermoelectric (TE) power plants withdraw more water than any other sector of water use in the United States and consume water at rates that can be significant especially in water-stressed regions. Historical TE water-use data have been inconsistent, incomplete, or discrepant, resulting in an increased research focus on improving the accuracy and availability of TE water-use data using modeling approaches. This paper describes and benchmarks new code that was developed to automate and update a physics-based TE water use model that was previously published. Utilizing the automated physics-based model, monthly TE-power water withdrawal and consumption were calculated for a total of 1341 TE power plants for the 2008–2020 historical reanalysis. The updated and automated physics-based thermoelectric-power water-use model provides spatially and temporally relevant TE water-use estimates that are consistent, reproducible, transparent, and can be generated efficiently for water-using, utility-scale TE-power plants across conterminous United States (CONUS).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2024.106265","usgsCitation":"Harris, M.A., Diehl, T.H., Gorman Sanisaca, L.E., Galanter, A.E., Lombard, M.A., Skinner, K.D., Chamberlin, C.A., McCarthy, B.A., Niswonger, R.G., Stewart, J.S., and Valseth, K., 2025, Automating physics-based models to estimate thermoelectric-power water use: Environmental Modelling and Software, v. 185, 106265, 16 p., https://doi.org/10.1016/j.envsoft.2024.106265.","productDescription":"106265, 16 p.","ipdsId":"IP-156740","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":466666,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2024.106265","text":"Publisher Index Page"},{"id":466004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"185","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Melissa A. 0000-0003-2659-9763 mharris@usgs.gov","orcid":"https://orcid.org/0000-0003-2659-9763","contributorId":1903,"corporation":false,"usgs":true,"family":"Harris","given":"Melissa","email":"mharris@usgs.gov","middleInitial":"A.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diehl, Timothy H. 0000-0001-9691-2212 thdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9691-2212","contributorId":546,"corporation":false,"usgs":true,"family":"Diehl","given":"Timothy","email":"thdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gorman Sanisaca, Lillian E. 0000-0003-1711-3864","orcid":"https://orcid.org/0000-0003-1711-3864","contributorId":210381,"corporation":false,"usgs":true,"family":"Gorman Sanisaca","given":"Lillian","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":922693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lombard, Melissa A. 0000-0001-5924-6556 mlombard@usgs.gov","orcid":"https://orcid.org/0000-0001-5924-6556","contributorId":198254,"corporation":false,"usgs":true,"family":"Lombard","given":"Melissa","email":"mlombard@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - 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Western Branch","active":true,"usgs":true}],"preferred":true,"id":922698,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stewart, Jana S. 0000-0002-8121-1373","orcid":"https://orcid.org/0000-0002-8121-1373","contributorId":211037,"corporation":false,"usgs":true,"family":"Stewart","given":"Jana","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922699,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Valseth, Kristen J. 0000-0003-4257-6094","orcid":"https://orcid.org/0000-0003-4257-6094","contributorId":331453,"corporation":false,"usgs":false,"family":"Valseth","given":"Kristen J.","affiliations":[],"preferred":false,"id":922700,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70263809,"text":"70263809 - 2025 - Land use change consistently reduces α‐ but not β‐ and γ‐diversity of bees","interactions":[],"lastModifiedDate":"2026-02-10T13:54:18.948383","indexId":"70263809","displayToPublicDate":"2025-01-03T09:55:49","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":"Land use change consistently reduces α‐ but not β‐ and γ‐diversity of bees","docAbstract":"Land use change threatens global biodiversity and compromises ecosystem functions, including pollination and food production. Reduced taxonomic α-diversity is often reported under land use change, yet the impacts could be different at larger spatial scales (i.e., γ-diversity), either due to reduced β-diversity amplifying diversity loss or increased β-diversity dampening diversity loss. Additionally, studies often focus on taxonomic diversity, while other important biodiversity components, including phylogenetic diversity, can exhibit differential responses. Here, we evaluated how agricultural and urban land use alters the taxonomic and phylogenetic α-, β-, and γ-diversity of an important pollinator taxon—bees. Using a multicontinental dataset of 3117 bee assemblages from 157 studies, we found that taxonomic α-diversity was reduced by 16%–18% in both agricultural and urban habitats relative to natural habitats. Phylogenetic α-diversity was decreased by 11%–12% in agricultural and urban habitats. Compared with natural habitats, taxonomic and phylogenetic β-diversity increased by 11% and 6% in urban habitats, respectively, but exhibited no systematic change in agricultural habitats. We detected a 22% decline in taxonomic γ-diversity and a 17% decline in phylogenetic γ-diversity in agricultural habitats, but γ-diversity of urban habitats was not significantly different from natural habitats. These findings highlight the threat of agricultural expansions to large-scale bee diversity due to systematic γ-diversity decline. In addition, while both urbanization and agriculture lead to consistent declines in α-diversity, their impacts on β- or γ-diversity vary, highlighting the need to study the effects of land use change at multiple scales.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70006","usgsCitation":"Tsang, T., De Santis, A., Armas-Quiñonez, G., Ascher, J., Ávila-Gómez, E., Baldi, A., Ballare, K., Balzan, M., Banaszak-Cibicka, W., Bänsch, S., Basset, Y., Bates, A., Baumann, J., Beal-Neves, M., Bennett, A., Bezerra, A., Blochtein, B., Bommarco, R., Brosi, B., Burkle, L., Carvalheiro, L., Castellanos Ignacio, Cely-Santos, M., Cohen, H., Coulibaly, D., Cunningham, S., Cusser, S., Dajoz, I., Delaney, D., Del-Val, E., Egerer, M., Eichhorn, M., Enríquez, E., Entling, M., Escobedo-Kenefic, N., Ferreira, P., Fitch, G., Forrest, J., Fournier, V., Fowler Robert, Freitas, B., Gaines-Day, H., Geslin, B., Ghazoul, J., Glaum, P., Gonzalez-Andujar, J., González-Chaves, A., Grab, H., Gratton, C., Guenat, S., Gutiérrez-Chacón, C., Hall, M., Hanley, M.E., Hass, A., Hennig, E., Hermy, M., Hipólito, J., Holzschuh, A., Hopfenmüller, S., Hung, K., Hylander, K., Izquierdo, J., Jamieson, M., Jauker, B., Javorek, S., Jha, S., Klatt, B., Kleijn, D., Klein, A., Kovacs-Hostyanszki, A., Krauss, J., Kuhlmann, M., Landaverde-González, P., Latty, T., Leong, M., Lerman, S.B., Liu, Y., Machado, A., Main, A., Mallinger, R., Mandelik, Y., Marques, B., Matteson, K., McCune, F., Meng, L., Metzger, J.P., Montoya-Pfeiffer, P., Morales, C., Morandin, L., Morrison, J., Mudri-Stojnić, S., Nalinrachatakan, P., Norfolk, O., Otieno, M., Park, M., Philpott, S.M., Pisanty, G., Plascencia, M., Potts, S., Power, E., Prendergast, K., Quistberg, R., Ramos, D., Rech, A., Reynolds, V., Richards, M., Roberts, S., Sabatino, M., Samnegård, U., Sardinas, H., Sánchez-Echeverría, K., Saturni, F., Scheper, J., Sciligo, A., Sidhu, C., Spiesman, B., Sritongchuay, T., Steffan-Dewenter, I., Stein, K., Stewart, A., Stout, J., Taki, H., Tangtorwongsakul, P., Threlfall, C., Tinoco, C., Tscharntke, T., Turo, K., Vaidya, C., Vandame, R., Vergara, C., Viana, B., Vides-Borrell, E., Warrit, N., Webb, E.B., Westphal, C., Wickens, J., Williams, N.M., Williams, N., Wilson, C., Wu, P., Youngsteadt, E., Zou, Y., Ponisio, L., and Bonebrake, T.C., 2025, Land use change consistently reduces α‐ but not β‐ and γ‐diversity of bees: Global Change Biology, v. 31, no. 1, e70006, 18 p., https://doi.org/10.1111/gcb.70006.","productDescription":"e70006, 18 p.","ipdsId":"IP-158643","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":482453,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487676,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/10261/398199","text":"Publisher Index Page"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Tsang, Toby P.N.","contributorId":351302,"corporation":false,"usgs":false,"family":"Tsang","given":"Toby P.N.","affiliations":[{"id":55550,"text":"University of Hong Kong","active":true,"usgs":false}],"preferred":false,"id":928357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Santis, A.A. 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mammals","interactions":[],"lastModifiedDate":"2025-02-11T15:49:43.423714","indexId":"70262839","displayToPublicDate":"2025-01-03T09:46:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Navigating new threats: Prey naivete in native mammals","docAbstract":"1. Invasive predators pose a substantial threat to global biodiversity. Native prey species frequently exhibit naïveté to the cues of invasive predators, and this phenomenon may contribute to the disproportionate impact of invasive predators on prey populations. However, not all species exhibit naïveté, which has led to the generation of many hypotheses to explain patterns in prey responses. These hypotheses primarily fall into two categories: system-centric hypotheses related to biogeographic isolation (BIH) and species-centric hypotheses, like the arche type similarity hypothesis (ASH).
2. We tested the predictions of these hypotheses by assessing the response of the common raccoon (Procyon lotor) and hispid cotton rat (Sigmodon hispidus), two native mammal species with divergent snake predation histories, to the cues of the invasive Burmese python (Python bivittatus) in the Florida Everglades (USA). Using giving-up densities (GUDs), we assessed the responses of both cotton rats and raccoons to life-size replicas of Burmese pythons and two North American predators eastern diamondback rattlesnakes (Crotalus adamanteus) and coyotes (Canis latrans).
3. Although cotton rats increased their GUD in the presence of all three predators relative to the novel-object control, raccoons only increased their GUD in coyote treatments.
4. These results align with the predictions of the ASH but not the BIH, and mirror observed patterns of population declines in invaded areas of the Florida Everglades.
5. More broadly, our findings suggest that naïveté may contribute to the vulnerability of some species to invasive predators even in large continental systems
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.14233","usgsCitation":"McKee, R.K., Hart, K., Zeitoune, S., and McCleery, R.A., 2025, Navigating new threats: Prey naivete in native mammals: Journal of Animal Ecology, v. 94, no. 2, p. 210-219, https://doi.org/10.1111/1365-2656.14233.","productDescription":"10 p.","startPage":"210","endPage":"219","ipdsId":"IP-166993","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":498444,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.14233","text":"Publisher Index Page"},{"id":481150,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Paynes Prairie Preserve State Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.35135078728811,\n 29.625410454636224\n ],\n [\n -82.35135078728811,\n 29.50509493981184\n ],\n [\n -82.22686579512518,\n 29.50509493981184\n ],\n [\n -82.22686579512518,\n 29.625410454636224\n ],\n [\n -82.35135078728811,\n 29.625410454636224\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"94","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-03","publicationStatus":"PW","contributors":{"authors":[{"text":"McKee, Rebecca K.","contributorId":341474,"corporation":false,"usgs":false,"family":"McKee","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":924970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":924971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeitoune, Spencer","contributorId":349858,"corporation":false,"usgs":false,"family":"Zeitoune","given":"Spencer","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":924972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCleery, Robert A.","contributorId":139849,"corporation":false,"usgs":false,"family":"McCleery","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":924973,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261932,"text":"70261932 - 2025 - Leveraging airborne imaging spectroscopy and multispectral satellite imagery to map glacial sediment plumes in Kachemak Bay, Alaska","interactions":[],"lastModifiedDate":"2025-01-06T15:27:04.639948","indexId":"70261932","displayToPublicDate":"2025-01-03T09:14:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging airborne imaging spectroscopy and multispectral satellite imagery to map glacial sediment plumes in Kachemak Bay, Alaska","docAbstract":"Red snapper (Lutjanus campechanus) is an iconic marine fish species along the southeast United States coast. Despite its ecological and economic importance, surprisingly little is known about red snapper biology and habitat use on the southeast United States Atlantic continental shelf (SEUS). We used data from a long-term baited trap and video survey (2011–2022), as well as from remotely operated vehicle (ROV) sampling (2021–2023), to quantify temporal changes in relative abundance, patterns of spatial distribution, and habitat use of red snapper in the SEUS. Using generalized additive models, we showed that red snapper increased in relative abundance from 2011 to 2022 by 960% in traps and 1,141% in video samples. Red snapper relative abundance was highest in mid-shelf waters off the east coast of Florida, Georgia, and, to a lesser extent, off the Outer Banks of North Carolina; red snapper were less common off southern North Carolina and South Carolina. Highest relative abundance of red snapper occurred in locations with a moderate amount of natural structured habitat and high seafloor complexity and were never observed at randomly selected ROV stations (n = 197) lacking structured habitat. These results increase our understanding of the spatial and temporal distribution of red snapper, improve our knowledge of red snapper habitat use, and can be used when scaling local density estimates to the entire SEUS.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2024.107200","usgsCitation":"Bacheler, N., Patterson III, W., Tarnecki, J., Shertzer, K., Buckel, J., Hostetter, N.J., Pacifici, K., Zulian, V., and Bubley, W., 2025, Spatiotemporal dynamics and habitat use of red snapper (Lutjanus campechanus) on the southeastern United States Atlantic continental shelf: Fisheries Research, v. 281, 107200, 13 p., https://doi.org/10.1016/j.fishres.2024.107200.","productDescription":"107200, 13 p.","ipdsId":"IP-160875","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":486926,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fishres.2024.107200","text":"Publisher Index Page"},{"id":482442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina","otherGeospatial":"southeastern United States Atlantic continental shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.92593395494507,\n 33.15275092248328\n ],\n [\n -81.99045643689327,\n 31.10056957805797\n ],\n [\n -80.87712766876851,\n 28.48701241069105\n ],\n [\n -80.3042465673629,\n 31.325404220996276\n ],\n [\n -76.71024593975332,\n 34.122762076854926\n ],\n [\n -76.22924401859534,\n 35.13912357508609\n ],\n [\n -79.92593395494507,\n 33.15275092248328\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.13968222172028,\n 19.755747085043822\n ],\n [\n -155.13968222172028,\n 19.69242312727401\n ],\n [\n -155.07419576383438,\n 19.69242312727401\n ],\n [\n -155.07419576383438,\n 19.755747085043822\n ],\n [\n -155.13968222172028,\n 19.755747085043822\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"281","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bacheler, Nathan M.","contributorId":351435,"corporation":false,"usgs":false,"family":"Bacheler","given":"Nathan M.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":928514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patterson III, William F.","contributorId":351436,"corporation":false,"usgs":false,"family":"Patterson III","given":"William F.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":928515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tarnecki, Joseph H.","contributorId":351437,"corporation":false,"usgs":false,"family":"Tarnecki","given":"Joseph H.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":928516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shertzer, Kyle W.","contributorId":351439,"corporation":false,"usgs":false,"family":"Shertzer","given":"Kyle W.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":928517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buckel, Jeffrey A.","contributorId":351441,"corporation":false,"usgs":false,"family":"Buckel","given":"Jeffrey A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":928518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":928519,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pacifici, Krishna","contributorId":351444,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":928520,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zulian, Viviane","contributorId":351446,"corporation":false,"usgs":false,"family":"Zulian","given":"Viviane","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":928521,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bubley, Walter J.","contributorId":351447,"corporation":false,"usgs":false,"family":"Bubley","given":"Walter J.","affiliations":[{"id":35670,"text":"South Carolina Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":928522,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70261998,"text":"70261998 - 2025 - Spatiotemporal synchrony of climate and fire occurrence across North American forests (1750-1880)","interactions":[],"lastModifiedDate":"2025-01-08T15:02:56.859216","indexId":"70261998","displayToPublicDate":"2025-01-03T07:53:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal synchrony of climate and fire occurrence across North American forests (1750-1880)","docAbstract":"Aim
Increasing aridity has driven widespread synchronous fire occurrence in recent decades across North America. The lack of historical (pre-1880) fire records limits our ability to understand long-term continental fire-climate dynamics. The goal of this study is to use tree-ring reconstructions to determine the relationships between spatiotemporal patterns in historical climate and widespread fire occurrence in North American forests, and whether they are stable through time. This information will address a major knowledge gap required to inform projections of future fire.
Location
North American Forests.
Time Period
1750–1880 CE.
Major Taxa Studies
Trees.
Methods
We applied regionalisation methods to tree-ring reconstructions of historical summer soil moisture and annual fire occurrence to independently identify broad- and fine-scale climate and fire regions based on common inter-annual variability. We then tested whether the regions were stable through time and for spatial correspondence between the climate and fire regions. Last, we used correlation analysis to quantify the strength of the fire-climate associations through time.
Results
We found that broad-scale historical patterns in climate and fire have strong spatial coherence. Although climate and fire regions vary over time, large core areas of the regions were stable. The association between climate and fire varied through time and was strongest in western North America, likely due to a combination of factors, such as the magnitude of drought frequency and severity, as well as varying use of fire by human communities.
Main Conclusions
The historical perspective gained through tree-ring reconstructions of climate and fire patterns and their association suggests that climate-driven synchrony of fire across large areas of the continent in recent decades is not unprecedented, will likely continue into the future, and may exhibit similar spatial patterns.
","language":"English","publisher":"Wiley","doi":"10.1111/geb.13937","usgsCitation":"Margolis, E.Q., Wion, A.P., Abatzoglou, J.T., Daniels, L., Falk, D.A., Guiterman, C., Johnston , J., Kipfmueller, K.F., Lafon, C.W., Loehman, R.A., Lonergan, M., Naficy, C.E., Parisien, M., Parks, S., Portier, J., Stambaugh, M.C., Whitman, E., Williams, A.P., and Yocom, L., 2025, Spatiotemporal synchrony of climate and fire occurrence across North American forests (1750-1880): Global Ecology and Biogeography, v. 34, no. 1, e13937, 14 p., https://doi.org/10.1111/geb.13937.","productDescription":"e13937, 14 p.","ipdsId":"IP-169251","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466668,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/geb.13937","text":"Publisher Index 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U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543–1598
Wildfire simulation models are used to derive maps of burn probability (BP) based on fuels, weather, topography and ignition locations, and BP maps are key components of wildfire risk assessments.
Few studies have compared BP maps with real-world fires to evaluate their suitability for near-future risk assessment. Here, we evaluated a BP map for the conterminous US based on the large fire simulation model FSim.
We compared BP with observed wildfires from 2016 to 2022 across 128 regions representing similar fire regimes (‘pyromes’). We evaluated the distribution of burned areas across BP values, and compared burned area distributions among fire size classes.
Across all pyromes, mean BP was moderately correlated with observed burned area. An average of 71% of burned area occurred in higher-BP classes, vs 79% expected. BP underpredicted burned area in the Mountain West, especially for extremely large fires.
The FSim BP map was useful for estimating subsequent wildfire hazard, but may have underestimated burned areas where input data did not reflect recent climate change, vegetation change or human ignition patterns.
Our evaluations indicate that caution is needed when relying on simulation-based BP maps to inform management decisions. Our results also highlight potential opportunities to improve model estimates.
Shoreline measurement techniques using satellite-derived imagery can provide decades of observations of shoreline change. Here we apply these techniques to the western south shore of Long Island, New York, which has three distinct beaches, Rockaway Peninsula, Long Beach, and Jones Beach Island, which are 18, 15, and 24 km in length, respectively. These beaches are recreation areas for millions of regional residents and include several groin fields, sediment dredging and nourishment operations, and a coastal wave climate that includes winter northeasterly storms and summer hurricanes. The shorelines along the western ends of these three beaches have been accreting at ~4 m/yr during the observation record (1984–2022) resulting from net westward longshore drift. The central 10–12 km of the beaches have lower shoreline change rates, and these rates are generally lowest within the groin fields (0.5–1.5 m/yr). Shoreline change observations also provide evidence for westward propagating accretion and erosion sediment waves that have durations of several years. Beach nourishment projects are shown to significantly influence rates of shoreline accretion, and this is commonly followed by significant shoreline retreat during the subsequent years.
","language":"English","publisher":"MDPI","doi":"10.3390/coasts5010002","usgsCitation":"Janda, C.N., Warrick, J.A., Buscombe, D.D., and Batiste, S.F., 2025, Shoreline change of western Long Island, New York, from satellite-derived shorelines: Coasts, v. 5, no. 1, 2, 29 p., https://doi.org/10.3390/coasts5010002.","productDescription":"2, 29 p.","ipdsId":"IP-171958","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466669,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/coasts5010002","text":"Publisher Index Page"},{"id":465751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"western Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.28400413335045,\n 40.70893623600816\n ],\n [\n -73.97984243591705,\n 40.70893623600816\n ],\n [\n -73.97984243591705,\n 40.47959922379482\n ],\n [\n -73.28400413335045,\n 40.47959922379482\n ],\n [\n -73.28400413335045,\n 40.70893623600816\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Janda, Catherine N. 0009-0004-5153-3680","orcid":"https://orcid.org/0009-0004-5153-3680","contributorId":347818,"corporation":false,"usgs":true,"family":"Janda","given":"Catherine","middleInitial":"N.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":922507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":922508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":922509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batiste, Sharon F. 0000-0001-6513-9132","orcid":"https://orcid.org/0000-0001-6513-9132","contributorId":347823,"corporation":false,"usgs":false,"family":"Batiste","given":"Sharon","middleInitial":"F.","affiliations":[],"preferred":false,"id":922510,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261980,"text":"70261980 - 2025 - Advancing the science of headwater streamflow for global water protection","interactions":[],"lastModifiedDate":"2025-01-27T16:46:01.883887","indexId":"70261980","displayToPublicDate":"2025-01-02T08:54:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17124,"text":"Nature Water","active":true,"publicationSubtype":{"id":10}},"title":"Advancing the science of headwater streamflow for global water protection","docAbstract":"The protection of headwater streams faces increasing challenges, exemplified by limited global recognition of headwater contributions to watershed resiliency and a recent US Supreme Court decision limiting federal safeguards. Despite accounting for ~77% of global river networks, the lack of adequate headwaters protections is caused, in part, by limited information on their extent and functions—in particular, their flow regimes, which form the foundation for decision-making regarding their protection. Yet, headwater streamflow is challenging to comprehensively measure and model; it is highly variable and sensitive to changes in land use, management and climate. Modelling headwater streamflow to quantify its cumulative contributions to downstream river networks requires an integrative understanding across local hillslope and channel (that is, watershed) processes. Here we begin to address this challenge by proposing a consistent definition for headwater systems and streams, evaluating how headwater streamflow is characterized and advocating for closing gaps in headwater streamflow data collection, modelling and synthesis.
","language":"English","publisher":"Nature","doi":"10.1038/s44221-024-00351-1","usgsCitation":"Golden, H.E., Christiensen, J., McMillan, H., Kelleher, C.A., Lane, C., Husic, A., Li, L., Ward, A., Hammond, J., Seybold, E.C., Jaeger, K.L., Zimmer, M.A., Sando, R., Jones, C., Segura, C., Mahoney, D.T., Price, A.N., and Chang, F., 2025, Advancing the science of headwater streamflow for global water protection: Nature Water, v. 3, p. 16-26, https://doi.org/10.1038/s44221-024-00351-1.","productDescription":"11 p.","startPage":"16","endPage":"26","ipdsId":"IP-161519","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":498448,"rank":2,"type":{"id":41,"text":"Open 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Tyler 0000-0003-0523-508X","orcid":"https://orcid.org/0000-0003-0523-508X","contributorId":304419,"corporation":false,"usgs":false,"family":"Mahoney","given":"D.","email":"","middleInitial":"Tyler","affiliations":[{"id":66062,"text":"University of Louisville","active":true,"usgs":false}],"preferred":false,"id":922525,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Price, Adam N. 0000-0002-7211-4758","orcid":"https://orcid.org/0000-0002-7211-4758","contributorId":295971,"corporation":false,"usgs":false,"family":"Price","given":"Adam","email":"","middleInitial":"N.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":922522,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Chang, Frederick","contributorId":347820,"corporation":false,"usgs":false,"family":"Chang","given":"Frederick","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":922526,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70267414,"text":"70267414 - 2025 - Fish-assemblage evaluation in the lower Sandusky River, Ohio, following dam removal","interactions":[],"lastModifiedDate":"2025-05-23T15:38:31.239395","indexId":"70267414","displayToPublicDate":"2025-01-01T10:31:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19856,"text":"Laurentian","active":true,"publicationSubtype":{"id":10}},"title":"Fish-assemblage evaluation in the lower Sandusky River, Ohio, following dam removal","docAbstract":"The Sandusky River, Ohio, USA, has experienced more than a century of alterations, including dam implementation and removal, causing a cascade of habitat changes. The physical changes in the river led to establishment of several invasive species. Ten hoop-net sampling sites, spaced about 500 m apart were established in the river to monitor fish assemblage and their habitat preferences. Four 10-d sampling events were completed from April through October 2021. Ordination analyses were used to assess fish-assemblage structure seasonably, species-habitat relationships, and life-history strategies of 31 species. Generalized linear mixed-effects models were used to assess temporal factors that may drive diversity and community assemblage. Models indicated increased species richness after removal of the dam. Presence and proportion of catch data were compared to Ohio Environmental Protection Agency 2009 pre-dam-removal data to further assess changes in fish assemblage. Several species, especially catostomids, have begun to use the habitat downstream of the former dam, altering fish assemblage throughout the river. We expect shifts in assemblage structure to persist, making continued monitoring essential for understanding how non-native and recreationally important species continue to respond to dam removal.
","language":"English","publisher":"Great Lakes Fishery Commission","doi":"10.70227/GDZU9409","usgsCitation":"Schulz, K., Acre, M.R., Mueller, A.T., Wamboldt, J.J., Broaddus, D., Hessler, T., Wilson, T., Mapes, R., Amberg, J., and Calfee, R.D., 2025, Fish-assemblage evaluation in the lower Sandusky River, Ohio, following dam removal: Laurentian, 2025-01, 26 p., https://doi.org/10.70227/GDZU9409.","productDescription":"2025-01, 26 p.","ipdsId":"IP-151712","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":498245,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.70227/gdzu9409","text":"Publisher Index 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This report reviews the literature on how climate change is influencing visitor use in the United States and how visitor use may be affected in the future. Our goal is to provide the current state of the literature for managers of public lands and waters and provide foundational information for the development of a climate change vulnerability assessment methodology for visitor use within the National Park Service (that may be applicable to other federal lands and waters). Specifically, we investigate how seven different climate change factors may affect visitor use on public lands and waters. These factors consist of increasing temperatures; flooding, drought, and increased variability of precipitation; decreasing snowpack and earlier spring runoff; wildfires, smoke, and air quality; coastal hazards: hurricanes and sea level rise; harmful algal blooms (HABs); and zoonotic and vector-borne disease. The current research indicates that these factors are already affecting visitors to public lands and waters and continued effects in the future are likely as the climate warms. Additionally, we summarize existing research on how visitors to U.S. public lands and waters are adapting to climate change. Throughout the review, we note where there are substantial gaps in the literature and more research would help managers respond to the effects of climate change on visitor use.","language":"English","publisher":"National Park Service","doi":"10.36967/2306946","usgsCitation":"Wilkins, E.J., Rappaport Keener, S., Carr, W., Reas, J., Winder, S., and Wood, S., 2025, A review of the effects of climate change on visitor use in US public lands and waters: Science Report NPS/SR—2025/231, vi, 61 p., https://doi.org/10.36967/2306946.","productDescription":"vi, 61 p.","ipdsId":"IP-167484","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n 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basaltic–rhyolitic melt storage at Yellowstone Caldera","docAbstract":"Yellowstone Caldera is one of the largest volcanic systems on Earth, hosting three major caldera-forming eruptions in the past two million years, interspersed with periods of less explosive, smaller-volume eruptions1. Caldera-forming eruptions at Yellowstone are sourced by rhyolitic melts stored within the mid- to upper crust. Seismic tomography studies have suggested that a broad region of rhyolitic melt extends beneath Yellowstone Caldera, with an estimated melt volume that is one to four times greater than the eruptive volume of the largest past caldera-forming eruption, and an estimated melt fraction of 6–28 per cent2,3,4,5. Seismic velocity is strongly influenced by temperature, pressure and melt; however, magnetotelluric data are primarily sensitive to the presence of melt, making these data ideal for constraining volcanic systems. Here we utilize magnetotelluric data to model the resistivity structure of Yellowstone Caldera’s crustal magma reservoir and constrain the region’s potential for producing major volcanic eruptions. We find that rhyolitic melts are stored in segregated regions beneath the caldera with low melt fractions, indicating that the reservoirs are not eruptible. Typically, these regions have melt volumes equivalent to small-volume post-caldera Yellowstone eruptions. The largest region of rhyolitic melt storage, concentrated beneath northeast Yellowstone Caldera, has a storage volume similar to the eruptive volume of Yellowstone’s smallest caldera-forming eruption. We identify regions of basalt migrating from the lower crust, merging with and supplying heat to the northeast region of rhyolitic melt storage. On the basis of our analysis, we suggest that the locus of future rhyolitic volcanism has shifted to northeast Yellowstone Caldera.
","language":"English","publisher":"Nature","doi":"10.1038/s41586-024-08286-z","usgsCitation":"Bennington, N.L., Schultz, A., Bedrosian, P.A., Bowles-Martinez, E., Lynn, K.J., Stelten, M.E., Tu, X., and Thurber, C., 2025, The progression of basaltic–rhyolitic melt storage at Yellowstone Caldera: Nature, v. 637, p. 97-102, https://doi.org/10.1038/s41586-024-08286-z.","productDescription":"6 p.","startPage":"97","endPage":"102","ipdsId":"IP-168140","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":466221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.8,\n 45.2\n ],\n [\n -111.8,\n 43.9\n ],\n [\n -109.8,\n 43.9\n ],\n [\n -109.8,\n 45.2\n ],\n [\n -111.8,\n 45.2\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"637","noUsgsAuthors":false,"publicationDate":"2025-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennington, Ninfa Lucia 0000-0003-3230-6744","orcid":"https://orcid.org/0000-0003-3230-6744","contributorId":346226,"corporation":false,"usgs":true,"family":"Bennington","given":"Ninfa","email":"","middleInitial":"Lucia","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schultz, Adam","contributorId":347045,"corporation":false,"usgs":false,"family":"Schultz","given":"Adam","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":920677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":920676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowles-Martinez, Esteban","contributorId":347046,"corporation":false,"usgs":false,"family":"Bowles-Martinez","given":"Esteban","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":920678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920679,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920680,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tu, Xiaolei","contributorId":347047,"corporation":false,"usgs":false,"family":"Tu","given":"Xiaolei","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":920681,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thurber, Clifford","contributorId":347048,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":920682,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263713,"text":"70263713 - 2025 - Sex differences in migration routes and non-breeding areas of a declining shorebird","interactions":[],"lastModifiedDate":"2025-02-20T15:40:42.561015","indexId":"70263713","displayToPublicDate":"2025-01-01T09:36:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Sex differences in migration routes and non-breeding areas of a declining shorebird","docAbstract":"Migratory birds face different threats and pressures across their annual cycle, and understanding the impact of these factors on individuals is critical to the conservation of avian populations. Individuals from the same breeding population may share the same non-breeding areas, and thus experience similar conditions, or they may travel to different habitats or regions during migration and the stationary non-breeding period. Marbled Godwits (Limosa fedoa) breeding in the Northern Great Plains, which have experienced steep population declines, are thought to spend the non-breeding period primarily on the Pacific Coast of the United States and Mexico. However, little is known about migratory routes, stopover sites, and non-breeding locations of specific breeding populations, nor whether individuals from the same breeding population remain together throughout the year. We deployed satellite transmitters on four mated pairs of godwits breeding in southern Alberta, Canada, with individuals tracked over a mean of 2.2 annual cycles (range 0.6–5.6, excluding one unit that stopped transmitting immediately following deployment). Counter to our expectations, females and males separated completely following breeding, with females traveling to non-breeding areas along the coast of California, United States, and males stopping over at Great Salt Lake, Utah, United States, and spending the non-breeding period in Baja California Sur, Mexico, a distance of ~1300 km from their mates. Despite spending nine months apart, individuals from this breeding population have previously been shown to have high mate fidelity. Interestingly, individuals mostly used protected areas during the non-breeding period, in contrast to the human-modified agricultural landscapes that make up the majority of their breeding grounds. Despite a small sample size, our results suggest a strong pattern of differential migration based on sex, with implications for the specific environmental conditions, and potentially threats, faced by female and male godwits across the annual cycle.
","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/ACE-02785-200102","usgsCitation":"McKellar, A.E., Gratto-Trevor, C.L., and Tibbitts, T., 2025, Sex differences in migration routes and non-breeding areas of a declining shorebird: Avian Conservation and Ecology, v. 20, no. 1, 2, 12 p., https://doi.org/10.5751/ACE-02785-200102.","productDescription":"2, 12 p.","ipdsId":"IP-169987","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":489861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-02785-200102","text":"Publisher Index Page"},{"id":482272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.47009688253796,\n 51.647756647734525\n ],\n [\n -125.25783924890335,\n 51.647756647734525\n ],\n [\n -125.25783924890335,\n 26.731178692950436\n ],\n [\n -110.47009688253796,\n 26.731178692950436\n ],\n [\n -110.47009688253796,\n 51.647756647734525\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McKellar, Ann E.","contributorId":340997,"corporation":false,"usgs":false,"family":"McKellar","given":"Ann","email":"","middleInitial":"E.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":927928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gratto-Trevor, Cheri L","contributorId":270109,"corporation":false,"usgs":false,"family":"Gratto-Trevor","given":"Cheri","email":"","middleInitial":"L","affiliations":[{"id":48188,"text":"Environment Canada","active":true,"usgs":false}],"preferred":false,"id":927929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. 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":927930,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273770,"text":"70273770 - 2025 - Wind River subbasin restoration: Annual report of U.S. Geological Survey activities January 2023 through December 2023","interactions":[],"lastModifiedDate":"2026-01-28T15:33:34.368704","indexId":"70273770","displayToPublicDate":"2025-01-01T09:19:45","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":156,"text":"Annual Report","active":false,"publicationSubtype":{"id":3}},"title":"Wind River subbasin restoration: Annual report of U.S. Geological Survey activities January 2023 through December 2023","docAbstract":"We sampled juvenile wild Oncorhynchus mykiss (Steelhead Trout) in headwater streams of the Wind River, WA, to characterize population attributes and investigate life-history metrics, particularly migratory patterns, and early life-stage survival. We used passive integrated transponder (PIT) tagging and a series of instream PIT-tag interrogation systems (PTISs) to track juveniles and adults. The Wind River subbasin is considered a wild Steelhead refuge by Washington Department of Fish and Wildlife (WDFW). No hatchery Steelhead Trout have been released in the Wind River subbasin since 1997, and hatchery adults are estimated at less than one percent of spawners in most years. Over twenty years of Steelhead Trout status and trend monitoring and research in the subbasin is contributing to understanding of population response to numerous restoration actions in the subbasin, including removal of Hemlock Dam from Trout Creek in 2009, which had an inadequate adult ladder and contributed to increased water temperatures.
Data from our study, and companion work by Washington Department of Fish and Wildlife, are contributing to the Columbia Basin Fish and Wildlife Program (2008) Research, Monitoring, and Evaluation (RM&E) Strategy of Fish Population Status Monitoring. Specifically, this work addresses the sub-strategies of 1) Assessing the Status and Trends of Diversity of Natural Origin Fish Populations and Uncertainties Research regarding differing life histories of a wild Steelhead Trout population, 2) Assessing the Status and Trend of Adult Natural Origin Fish Populations, and 3) Monitoring and Evaluating the Effectiveness of Tributary Habitat Actions Relative to Environmental, Physical, or Biological Performance Objectives.
During summer and fall 2023, we PIT-tagged 1,294 Steelhead Trout parr (age-0 and age-1), in the Trout Creek and upper Wind River watersheds. Age-0 parr were at high abundance due to a strong spawning run in 2023 (estimate of 814 adults from September snorkel survey compared to 22-year median of 450; Charlie Cochran, WDFW Fish Biologist, personal commun., 2022), but age-1 parr abundance was low following poor spawner numbers in 2022 (estimate of 159 adults from September snorkel survey). An additional 189 age-2 or older parr were tagged to provide fish for estimating detection efficiencies at PTISs. Steelhead Trout parr were recaptured and detected through repeat headwater sampling, smolt trapping, instream PTISs and Columbia River PIT-tag detection. We maintained and upgraded six instream PTISs to detect PIT-tagged Steelhead Trout parr, smolts, and adults, providing data for population assessments, and life-cycle research.
Detection data from PIT-tagged adult Steelhead Trout at PTISs allow assessment of adult escapement to tributary watersheds within the Wind River subbasin. Adult Steelhead Trout detection efficiency estimates at our primary PTIS in Trout Creek have been greater than 99 percent during seven of the past nine years and have exceeded 97% at our primary PTIS in the Wind River during eight of the past nine years. Adult escapement estimates to tributary watersheds are helping evaluate the efficacy of the 2009 removal of Hemlock Dam from rkm 2.0 of Trout Creek, where it had potential negative effects on Steelhead Trout populations due to hydrologic impairment, increased temperatures, and adult passage issues because of an inadequate fish ladder.
Detections at the instream PTISs have shown trends of age-0 and age-1 Steelhead Trout parr emigration from natal areas during summer and fall, in addition to the expected movement of parr and smolts in spring. Our data suggest that often most fish from a cohort that migrate downstream will do so at age-1 for additional rearing downstream of their natal areas. It is unknown if this is ingrained behavior or a result of lack of habitat capacity. We have estimated that from 15 to 56% of parr tagged as age-0 fish in headwater areas make downstream migrations at age-1 for additional rearing. We have estimated that up to 27% of Steelhead Trout parr, tagged as age-1 fish, make downstream migrations during fall: this is especially pronounced in the upper Wind River portion of the watershed. These findings raise questions about preferred parr rearing habitat and whether migrations are density- or habitat-quality driven, and answers to such questions are part of the long-term goals of this study as active and passive habitat restoration actions occur.
Repeat sampling at sites in the subbasin within and between years has enabled assessment of juvenile Steelhead Trout growth patterns. Growth rates (relative change in weight) of age-0 PIT-tagged parr during summer have been similar across the subbasin, though slightly lower in the Trout Creek watershed. Summer growth rates have been lower for age-1 parr in the Trout Creek watershed than the upper Wind River watershed. Yearly relative growth was similar across the subbasin for both age-0 and age-1 tagged parr.
Non-native Salvelinus fontinalis (Brook Trout) are present in the subbasin, chiefly the Trout Creek watershed, and repeat sampling provides an index of their prevalence. Mean percent-of-catch that is Brook Trout, at four sample sites in Trout Creek, has declined from the period 1998 – 2003 to the period 2011 – 2024. Percent-of-catch and number of Brook Trout at the Trout Creek sites from 2011 through 2022, though variable, have generally declined.
Evaluation and planning of habitat restoration efforts are critical to ensure efficient use of money and resources. Assessing Steelhead Trout life history variation in the Wind River subbasin informs research and tracking of many populations and habitat restoration and water allocation planning. Movement of Steelhead Trout parr from natal areas to other rearing areas raises questions regarding juvenile abundance, origin, and habitat use within watersheds. Improved PTISs and focused PIT-tagging of age-0 and age-1 Steelhead Trout parr allow investigation of such questions. Detailed viable salmonid population and life-history data, such as that provided by PIT-tagging and instream PTIS networks inform fisheries policy and management and enable assessment of long-term effects of habitat restoration actions such as the removal of Hemlock Dam on Trout Creek and proposed major instream habitat restoration in the upper Wind River.
","language":"English","publisher":"Columbia Basin Fish & Wildlife Program","usgsCitation":"Jezorek, I., 2025, Wind River subbasin restoration: Annual report of U.S. Geological Survey activities January 2023 through December 2023: Annual Report, 58 p.","productDescription":"58 p.","ipdsId":"IP-170797","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River subbasin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.25,\n 46\n ],\n [\n -122.25,\n 45.75\n ],\n [\n -121.75,\n 45.75\n ],\n [\n -121.75,\n 46\n ],\n [\n -122.25,\n 46\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jezorek, Ian 0000-0002-3842-3485","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":217811,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954704,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70262126,"text":"70262126 - 2025 - Evaluating effects of tracking device attachment methods on Black Oystercatchers Haematopus bachmani","interactions":[],"lastModifiedDate":"2025-01-14T15:19:55.742575","indexId":"70262126","displayToPublicDate":"2025-01-01T09:13:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5557,"text":"Wader Study","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluating effects of tracking device attachment methods on Black Oystercatchers Haematopus bachmani","title":"Evaluating effects of tracking device attachment methods on Black Oystercatchers Haematopus bachmani","docAbstract":"Advances in tracking technology are greatly improving our understanding of many aspects of avian ecology. However, the diversity of tracking devices and attachment methods necessitates better evaluation of how they affect particular taxa. We evaluated effects of tracking devices mounted on leg bands or attached using leg-loop harnesses on resighting rates of Black Oystercatchers Haematopus bachmani in Alaska and British Columbia. In Alaska, in 2019, geolocators were mounted on a leg band (n = 20) or encased in a nylon mount and attached using a leg-loop harness (n = 20), and GPS devices were attached using a leg-loop harness (n = 6). In British Columbia, Argos-PTT satellite transmitters were attached using a leg-loop harness (n = 26) in 2019 and 2020. Control birds were colour-banded (Alaska: n = 22; British Columbia: n = 27) but were not equipped with a tracking device. Surveys to resight birds with and without tracking devices were conducted in 2020 and 2021. Birds carrying geolocators, GPS devices, and Argos-PTT satellite transmitters attached using a leg-loop harness were as likely to be resighted (69% in Alaska and 62% in British Columbia) as control birds (59% in both areas). However, birds carrying geolocators mounted on leg bands were far less likely to be resighted (15%). We also used resighting data and a time-to-tag failure analysis to obtain a minimum annual survival estimate for the birds carrying an Argos-PTT satellite transmitter. The minimum annual survival estimate for these birds (0.81 ± 0.08 SE) did not differ from previously reported annual apparent survival estimates for Black Oystercatchers in British Columbia (0.91 ± 0.02 SE). These findings suggest that while Black Oystercatchers can successfully carry tracking devices weighing less than 3% of their body mass when attached using a leg-loop harness, they are negatively affected by small tracking devices mounted directly on leg bands.
","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00357","usgsCitation":"Rankin, C., Ware, L., Robinson, B.H., Esler, D., Coletti, H., Maftei, M., Hipfner, J.M., and Green, D., 2025, Evaluating effects of tracking device attachment methods on Black Oystercatchers Haematopus bachmani: Wader Study, v. 131, no. 3, p. 204-213, https://doi.org/10.18194/ws.00357.","productDescription":"10 p.","startPage":"204","endPage":"213","ipdsId":"IP-160860","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Rankin, Cole","contributorId":344232,"corporation":false,"usgs":false,"family":"Rankin","given":"Cole","email":"","affiliations":[],"preferred":false,"id":923173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ware, Lena","contributorId":344231,"corporation":false,"usgs":false,"family":"Ware","given":"Lena","email":"","affiliations":[{"id":82321,"text":"SFU","active":true,"usgs":false}],"preferred":false,"id":923174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Brian H.","contributorId":215576,"corporation":false,"usgs":false,"family":"Robinson","given":"Brian","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":923175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":923176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coletti, Heather","contributorId":258849,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":923177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maftei, Mark","contributorId":127435,"corporation":false,"usgs":false,"family":"Maftei","given":"Mark","email":"","affiliations":[],"preferred":false,"id":923178,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hipfner, J Mark","contributorId":243469,"corporation":false,"usgs":false,"family":"Hipfner","given":"J","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":923179,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Green, David","contributorId":167789,"corporation":false,"usgs":false,"family":"Green","given":"David","affiliations":[],"preferred":false,"id":923180,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70265458,"text":"70265458 - 2025 - Glass laser ablation-inductively coupled plasma-mass spectrometry analysis methods, precision, and accuracy data for tephra studies in Alaska","interactions":[],"lastModifiedDate":"2025-04-07T14:10:39.503614","indexId":"70265458","displayToPublicDate":"2025-01-01T09:08:17","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":20899,"text":"Alaska Division of Geological & Geophysical Surveys Techniques and Methods","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"1","title":"Glass laser ablation-inductively coupled plasma-mass spectrometry analysis methods, precision, and accuracy data for tephra studies in Alaska","docAbstract":"This publication reports the analytical conditions, standard reference material (SRM) results, and preferred post-processing methodologies for laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) measurements supporting tephra studies in Alaska between 2018 and 2024. We evaluate the long-term accuracy and precision of our methodologies by comparing our calculated SRM concentrations to the Geological and Environmental Reference Materials database (GeoReM) preferred concentration values for the following SRMs: BCR-2G, BHVO-2G, ATHO-G, NIST-612, GSD-1G, and GSE-1G. We show that our LA-ICP-MS methodologies produce accurate and consistent measurements across numerous analytical sessions, even when instrumentation changed. Overall, these results indicate that Alaska tephra matrix glass measurements, like SRM measurements, are accurate, precise, and comparable between analytical sessions. This work allows us to better correlate tephra units from Alaska volcanoes throughout the Alaska-Aleutian arc, ultimately enhancing our understanding of spatiotemporal patterns of volcanism in the region. This enhanced understanding will aid in refining volcanic hazard classification and response strategies. Future versions of this dataset will provide updates to SRM results or analytical routines for sessions that have transpired since the publishing of this version.
","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/31471","usgsCitation":"Lubbers, J.E., and Loewen, M.W., 2025, Glass laser ablation-inductively coupled plasma-mass spectrometry analysis methods, precision, and accuracy data for tephra studies in Alaska: Alaska Division of Geological & Geophysical Surveys Techniques and Methods 1, Report: 21 p.; Geospatial Data, https://doi.org/10.14509/31471.","productDescription":"Report: 21 p.; Geospatial Data","ipdsId":"IP-166928","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":484238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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