{"pageNumber":"28","pageRowStart":"675","pageSize":"25","recordCount":165459,"records":[{"id":70272618,"text":"sir20255099 - 2025 - Temporal changes in nutrient concentrations in the Lower Grand River and selected drainage basins, Missouri and Iowa, during the Mississippi River Basin Healthy Watersheds Initiative (2010–23)","interactions":[],"lastModifiedDate":"2026-02-03T16:39:07.258008","indexId":"sir20255099","displayToPublicDate":"2025-11-26T08:25:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5099","displayTitle":"Temporal Changes in Nutrient Concentrations in the Lower Grand River and Selected Drainage Basins, Missouri and Iowa, During the Mississippi River Basin Healthy Watersheds Initiative (2010–23)","title":"Temporal changes in nutrient concentrations in the Lower Grand River and selected drainage basins, Missouri and Iowa, during the Mississippi River Basin Healthy Watersheds Initiative (2010–23)","docAbstract":"<p>This report describes a cooperative study by the U.S. Geological Survey and Missouri Department of Natural Resources that evaluated temporal changes in total nitrogen (TN) and total phosphorus (TP) concentrations in the Lower Grand River hydrologic unit. The study focused on trends since 2010, when the basin was designated as a priority drainage basin of the Mississippi River Basin Healthy Watersheds Initiative (MRBI). At three local drainage basins within the Lower Grand hydrological unit (MRBI sites), stream nutrient trends were evaluated using flow-adjusted (FA) TN and TP concentrations for water years 2011 through 2023. FATN concentration trends were not statistically significant for any MRBI site. One site (site 2) showed a statistically significant increasing trend in FATP concentration, indicating a possible increase in phosphorus sources in parts of the basin. Overall, streamflow variability appeared to be the dominant factor affecting nutrient concentrations at MRBI sites. At five regional drainage basins, including the Grand River and nearby rivers with data from 1994 through 2023 (long-term sites), annual flow-normalized (FN) TN and TP concentrations were evaluated for trends before (water years 2000–10) and during (water years 2010–23) the MRBI. For water years 2010 through 2023, annual FNTN and FNTP concentrations decreased in the Grand River, as well as in the Nodaway and Chariton Rivers, which were not targeted by the MRBI. The Grand River (site 9) reversed from increasing to decreasing FNTP concentrations after 2010, with a 26-percent reduction. Annual FNTN and FNTP concentrations also decreased at the Missouri River sites. While nutrient reductions in the Grand River may reflect the effects of implemented conservation practices, similar trends in nearby, nontargeted rivers and the absence of strong decreasing trends at MRBI sites suggest that broader regional factors, instead of or in addition to MRBI efforts, may have contributed to nutrient reductions in the Grand River.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255099","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Kamrath, B.J.W., Lauderback, C.N., and Murphy, J.C., 2025, Temporal changes in nutrient concentrations in the Lower Grand River and selected drainage basins, Missouri and Iowa, during the Mississippi River Basin Healthy Watersheds Initiative (2010–23): U.S. Geological Survey Scientific Investigations Report 2025–5099, 19 p., https://doi.org/10.3133/sir20255099.","productDescription":"Report: vii, 19 p.; 5 Linked Tables; Data Release; Dataset","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-167198","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":497801,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118990.htm"},{"id":496854,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":496853,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13FQ2YN","text":"USGS data release","linkHelpText":"Archive of the load estimation models used in the analyses of temporal changes in nutrient concentrations in the Lower Grand River and selected drainage basins, Missouri and Iowa (2010–23)"},{"id":496855,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255099/full"},{"id":496848,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5099/coverthb.jpg"},{"id":496852,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2025/5099/downloads/","text":"Tables 1.1 to 1.5","linkFileType":{"id":3,"text":"xlsx"}},{"id":496851,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5099/images/"},{"id":496849,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5099/sir20255099.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5099"},{"id":496850,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5099/sir20255099.XML"}],"country":"United States","state":"Iowa, Missouri","otherGeospatial":"Lower Grand River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.5,\n              41.5\n            ],\n            [\n              -95.5,\n              38.5\n            ],\n            [\n              -91.5,\n              38.5\n            ],\n            [\n              -91.5,\n              41.5\n            ],\n            [\n              -95.5,\n              41.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>405 North Goodwin<br>Urbana, IL 61801</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Plain Language Summary</li><li>Introduction</li><li>Previous Investigations</li><li>Purpose and Scope</li><li>Site Description</li><li>Streamflow and Water-Quality Data Collection</li><li>Methods for Assessing Temporal Changes in Nutrient Concentrations</li><li>Temporal Changes in Annual Mean Nutrient Concentrations at Mississippi River Basin Healthy Watersheds Initiative Sites</li><li>Temporal Changes in Flow-Adjusted Nutrient Concentrations at Mississippi River Basin Healthy Watersheds Initiative Sites</li><li>Temporal Changes in Annual Flow-Normalized Concentrations at Long-Term Sites</li><li>Nutrient Dynamics Within the Lower Grand During the Mississippi River Basin Healthy Watersheds Initiative</li><li>Nutrient Dynamics in the Grand River and Similar Nearby Tributaries During the Mississippi River Basin Healthy Watersheds Initiative</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Supplemental Data for Selected Sites in Missouri and Iowa</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-11-26","noUsgsAuthors":false,"plainLanguageSummary":"<p>The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, estimated total nitrogen and total phosphorus concentrations at three local and five regional monitoring sites in Missouri. Temporal changes in total nitrogen and total phosphorus were quantified to evaluate whether instream nutrient concentrations have changed at local or regional scales. At the local scale sites, total phosphorus concentrations substantially increased at one site, which indicated a possible increase in phosphorus sources in the Lower Grand River hydrologic unit, while total nitrogen concentrations did not change substantially. At the regional site, annual total nitrogen and total phosphorus concentrations generally decreased. The regional decline in stream nutrients paired with the lack of nutrient reduction at the local sites indicated that nutrient reductions in the Grand River may have been driven by regional changes in nutrient export, instead of or in addition to conservation practices implemented as part of the Mississippi River Basin Healthy Watersheds Initiative.</p>","publicationDate":"2025-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Kamrath, Brock J.W. 0000-0001-7118-0537","orcid":"https://orcid.org/0000-0001-7118-0537","contributorId":347859,"corporation":false,"usgs":true,"family":"Kamrath","given":"Brock","middleInitial":"J.W.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lauderback, Courtney N. 0000-0002-6975-0331","orcid":"https://orcid.org/0000-0002-6975-0331","contributorId":363041,"corporation":false,"usgs":true,"family":"Lauderback","given":"Courtney","middleInitial":"N.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950959,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272103,"text":"sir20255062 - 2025 - An evaluation of the effects of different deicing salt application rates on three watersheds in Essex County, New York","interactions":[],"lastModifiedDate":"2026-02-03T16:38:12.480343","indexId":"sir20255062","displayToPublicDate":"2025-11-25T15:50:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5062","displayTitle":"An Evaluation of the Effects of Different Deicing Salt Application Rates on Three Watersheds in Essex County, New York","title":"An evaluation of the effects of different deicing salt application rates on three watersheds in Essex County, New York","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the New York State Department of Transportation, evaluated the effects of different deicing salt application rates on surface water, groundwater, and highway runoff quality near State highways in northern New York. Three reaches of State highways were tested with different deicing treatments between October 2019 and November 2022: a salt-sand mixture (Treatment A), a salt mixture applied at a lower rate (Treatment B), and a control mixture consistent with typical deicing salt amounts and application rates. Data on pavement conditions and the quality of surface water, highway runoff, and groundwater were collected. Surface electromagnetic data were also collected. Surface-water and groundwater quality downgradient from the State highways were compared with water quality at upgradient locations. The percentage of snow or ice coverage was used to evaluate the effectiveness of the salt applications.</p><p>This report provides an overview of the transport of deicing salt. The Treatment B watershed had deicing mixture applied more frequently than other highway reaches, which caused it to have the highest annual total chloride application. Despite differences in chloride application, flow-weighted mean chloride concentrations in highway runoff were comparable across treatments. Chloride concentrations were elevated in surface water and groundwater downgradient from highways relative to chloride concentrations upgradient from highways. A chloride mass balance, calculated for one treatment watershed, indicated that groundwater affected by legacy deicing practices may be contributing additional chloride to surface water. Spatial patterns from electromagnetic surveys show a shallow saline plume alongside the highway in that area.</p><p>Differences in winter severity and pavement-surface conditions drove deicing salt applications in the treatment areas. This study found that several factors affect chloride loads in the watersheds, including variable winter conditions, adaptive snow and ice management, legacy management practices, and area-specific aquifer and groundwater conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255062","collaboration":"Prepared in cooperation with the New York State Department of Transportation","usgsCitation":"Gutchess, K., Scavotto, N., Dondero, A., Woda, J., Terry, N., Smith, K., and Williams, J., 2025, An evaluation of the effects of different deicing salt application rates on three watersheds in Essex County, New York: U.S. Geological Survey Scientific Investigations Report 2025–5062, 31 p., https://doi.org/10.3133/sir20255062.","productDescription":"Report: viii, 31 p.; 2 Data Releases","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-160931","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":497798,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118989.htm"},{"id":496533,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QES2KJ","text":"USGS data release","linkHelpText":"Frequency domain electromagnetic induction (FDEM) geophysical data collected near Lake Placid, NY"},{"id":496532,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13CJ3D9","text":"USGS data release","linkHelpText":"Chloride regression model and mass balance for different deicing salt application rates on three watersheds in Essex County, New York"},{"id":496531,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5062/images/"},{"id":496530,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5062/sir20255062.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5062 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href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-york-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-york-water-science-center\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 1280–8349</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of Study Area</li><li>Methods</li><li>Quality Assurance and Quality Control Analysis</li><li>Data Analysis</li><li>Chloride in Highway Runoff Relative to Winter Snow and Ice Management</li><li>Chloride in Surface Water and Groundwater</li><li>Effects of Different Deicing Salt Application Rates in Essex County, New York</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2025-11-25","noUsgsAuthors":false,"publicationDate":"2025-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Gutchess, Kristina 0000-0002-9745-5049","orcid":"https://orcid.org/0000-0002-9745-5049","contributorId":353190,"corporation":false,"usgs":true,"family":"Gutchess","given":"Kristina","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scavotto, Natasha 0000-0002-0853-5355","orcid":"https://orcid.org/0000-0002-0853-5355","contributorId":362140,"corporation":false,"usgs":true,"family":"Scavotto","given":"Natasha","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dondero, Amanda 0000-0002-4798-3767","orcid":"https://orcid.org/0000-0002-4798-3767","contributorId":360886,"corporation":false,"usgs":false,"family":"Dondero","given":"Amanda","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":950088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woda, Joshua C. 0000-0002-2932-8013","orcid":"https://orcid.org/0000-0002-2932-8013","contributorId":290172,"corporation":false,"usgs":true,"family":"Woda","given":"Joshua","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950086,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Terry, Neil C. 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","middleInitial":"C.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":950087,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Kirk 0000-0003-0269-474X","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":204404,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950089,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950090,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70275128,"text":"70275128 - 2025 - Grass-Cast Southwest: A seasonal rangeland productivity forecast for the southwestern United States","interactions":[],"lastModifiedDate":"2026-04-16T15:10:19.361216","indexId":"70275128","displayToPublicDate":"2025-11-25T10:04:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":24004,"text":"Cambridge Prisms: Drylands","active":true,"publicationSubtype":{"id":10}},"title":"Grass-Cast Southwest: A seasonal rangeland productivity forecast for the southwestern United States","docAbstract":"<p><span>Here, we present a first assessment of the US Department of Agriculture’s (USDA) “Grass-Cast Southwest,” which is a forecasting tool for rangeland aboveground net primary productivity (ANPP) for the southwest region of the United States. Our results show that ANPP forecasts in early April were relatively close to the observation-based ANPP estimates in late May for all years evaluated (</span><span class=\"italic\">R</span><span>&nbsp;=&nbsp;0.6–0.9). The relatively high predictability of spring rangeland productivity in this region is likely because it is strongly driven by antecedent winter/early spring precipitation. Conversely, the first summer forecasts produced in June did not consistently predict the final observation-based ANPP estimates in late August (</span><span class=\"italic\">R</span><span>&nbsp;=&nbsp;−0.5–0.7), likely because summer rangeland productivity in this region is highly dependent on variable, less predictable precipitation from the North American Monsoon (NAM). Antecedent El Niño Southern Oscillation (ENSO) indices could be used to improve Grass-Cast Southwest performance in both the spring and summer. The ENSO</span><span class=\"sub\">JFM</span><span>&nbsp;(January–March) index was significantly positively correlated with rangeland productivity during the spring season, whereas ENSO</span><span class=\"sub\">MAM</span><span>&nbsp;(March–May) was significantly negatively correlated with rangeland productivity during the summer season.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/dry.2025.10013","usgsCitation":"Aguilar-Cubilla, E., Hartman, M.D., Parton, W.J., Reed, S., Derner, J.D., Schulte, D.K., Gornish, E., Moore, D.J., Elias, E., Peck, D.E., Fuchs, B.A., and Smith, W.K., 2025, Grass-Cast Southwest: A seasonal rangeland productivity forecast for the southwestern United States: Cambridge Prisms: Drylands, v. 2, e16, 11 p., https://doi.org/10.1017/dry.2025.10013.","productDescription":"e16, 11 p.","ipdsId":"IP-183979","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":502980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/dry.2025.10013","text":"Publisher Index Page"},{"id":502925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New 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Fort Collins, CO, 80526, USA","active":true,"usgs":false}],"preferred":false,"id":959594,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fuchs, Brian A.","contributorId":370061,"corporation":false,"usgs":false,"family":"Fuchs","given":"Brian","middleInitial":"A.","affiliations":[{"id":87943,"text":"National Drought Mitigation Center, University of Nebraska-Lincoln, Lincoln, NE 68583, USA","active":true,"usgs":false}],"preferred":false,"id":959595,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, William K.","contributorId":370062,"corporation":false,"usgs":false,"family":"Smith","given":"William","middleInitial":"K.","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":959596,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70272654,"text":"70272654 - 2025 - Evaluating the central–marginal hypothesis: Introgression and genetic variation at the trailing edge of Quercus bicolor","interactions":[],"lastModifiedDate":"2026-01-05T17:01:51.876178","indexId":"70272654","displayToPublicDate":"2025-11-25T09:50:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluating the central–marginal hypothesis: Introgression and genetic variation at the trailing edge of <i>Quercus bicolor</i>","title":"Evaluating the central–marginal hypothesis: Introgression and genetic variation at the trailing edge of Quercus bicolor","docAbstract":"<p><span>The central–marginal hypothesis (CMH) predicts reduced genetic diversity and increased differentiation in range-edge populations due to ecological marginality and limited gene flow. Deviations from this pattern, however, can result from historical demographic processes, variation in reproductive strategies or interspecific hybridization. The genus&nbsp;</span><i>Quercus</i><span>, known for hybridization and long-distance pollination, offers an excellent model to examine the spatial patterns of genetic diversity, structure and introgression across species distributions. Here, we investigate these dynamics in&nbsp;</span><i>Quercus bicolor</i><span>&nbsp;Willd., a widespread eastern North American oak. Using RADseq, we genotyped 142 individuals from 12 sites at the fragmented trailing range edge and nine sites from the range core. To detect introgression, we incorporated reference data from six sympatric white oak species. We reveal extensive introgression, particularly from&nbsp;</span><i>Q. lyrata</i><span>&nbsp;Walt., in nearly all southern edge populations, but none in core populations despite sympatry with closely related congeners. Southern populations also showed increased genetic structure and differentiation, but not reduced diversity or increased inbreeding, even when only examining non-admixed individuals. Regression analyses reveal relationships between introgressed ancestry and heterozygosity, inbreeding and differentiation, indicating that introgression may buffer range-edge populations against genetic erosion by introducing novel alleles. Hindcast, current and forecast ecological niche models demonstrate temporally changing degrees of overlap between the geographic range of&nbsp;</span><i>Q. lyrata</i><span>&nbsp;and&nbsp;</span><i>Q. bicolor</i><span>&nbsp;and suggest higher hybridization potential in the future. These findings offer mixed support for the CMH while underscoring the evolutionary relevance of introgression in shaping genetic landscapes at range margins with significant implications for conservation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.70185","usgsCitation":"Jesse B. Parker, Sean Hoban, Thompson, L., and Scott E. Schlarbaum, 2025, Evaluating the central–marginal hypothesis: Introgression and genetic variation at the trailing edge of Quercus bicolor: Molecular Ecology, v. 34, no. 24, e70185, 19 p., https://doi.org/10.1111/mec.70185.","productDescription":"e70185, 19 p.","ipdsId":"IP-182841","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":497082,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.70185","text":"Publisher Index Page"},{"id":496986,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.7397874284601,\n              47.69010833548356\n            ],\n            [\n              -96.50515645608941,\n              38.374728664216455\n            ],\n            [\n              -94.46111669832068,\n              35.024323679813264\n            ],\n            [\n              -75.54658793458438,\n              34.796796242513224\n            ],\n            [\n              -73.9846649987043,\n              39.20135867583498\n            ],\n            [\n              -69.38877471060589,\n              41.55065832321056\n            ],\n            [\n              -66.75532196682867,\n              44.51664342888958\n            ],\n            [\n              -66.71186067192609,\n              47.40639899204692\n            ],\n            [\n              -76.96565391885454,\n              44.77224521173778\n            ],\n            [\n              -85.96379061474377,\n              47.170718633297994\n            ],\n            [\n              -96.7397874284601,\n              47.69010833548356\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"24","noUsgsAuthors":false,"publicationDate":"2025-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Jesse B. Parker","contributorId":363175,"corporation":false,"usgs":false,"family":"Jesse B. Parker","affiliations":[{"id":63836,"text":"University of Tennessee, Knoxville","active":true,"usgs":false}],"preferred":false,"id":951194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sean Hoban","contributorId":363177,"corporation":false,"usgs":false,"family":"Sean Hoban","affiliations":[{"id":86637,"text":"Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":951195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":207364,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":951196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott E. Schlarbaum","contributorId":363179,"corporation":false,"usgs":false,"family":"Scott E. Schlarbaum","affiliations":[{"id":63836,"text":"University of Tennessee, Knoxville","active":true,"usgs":false}],"preferred":false,"id":951197,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273031,"text":"70273031 - 2025 - Spatial occupancy patterns of the endangered northern long‐eared bat in New England","interactions":[],"lastModifiedDate":"2025-12-12T16:38:07.189122","indexId":"70273031","displayToPublicDate":"2025-11-25T09:30:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Spatial occupancy patterns of the endangered northern long‐eared bat in New England","docAbstract":"<p>Aim</p><p><span>White-nose syndrome has caused severe declines in eastern North American cave bats, leading to the federal listing of the northern long-eared bat (</span><i>Myotis septentrionalis</i><span>) as endangered in the United States and Canada. This has heightened the importance of long-term monitoring to inform species status assessments. We employed a combination of long-term repeated and single-season acoustic survey data to assess the regional presence, spatial distribution, occupancy, and detection probability of northern long-eared bats.</span></p><p><span>Location</span></p><p><span>New England, United States.</span></p><p><span>Methods</span></p><p><span>We analysed acoustic data from 2357 detector sites, aggregated by year, using Bayesian single-species occupancy models. We investigated the influence of habitat characteristics, climatic variables, and year (2015–2022) on occupancy and the effects of weather conditions and survey month (May to August) on detection probability. Spatial random effects were included to address residual spatial autocorrelation, with a 1-km resolution chosen based on significant positive autocorrelation observed in a non-spatial model.</span></p><p><span>Results</span></p><p><span>Occupancy was highest on steep, forested hillsides with minimal anthropogenic development, higher in warmer regions, particularly along coastlines and on offshore islands, and declined across survey years. Including a 1-km spatial random effect reduced residual autocorrelation and suggests northern long-eared bats utilise resources at small to medium landscape scales. Detection probability was highest earlier in the maternity season, but declined when monthly precipitation or temperature exceeded average conditions.</span></p><p><span>Conclusions</span></p><p><span>Conservation efforts that focus on steep, forested hillsides in warmer regions with low anthropogenic development could be beneficial. Our analysis supports the use of spatial random effects at a 1-km<sup>2</sup>&nbsp;scale, highlighting the importance of survey designs that capture ecological variation at species-specific resolutions. Additionally, early-season acoustic surveys conducted during favourable weather conditions may improve monitoring effectiveness. Acoustic sampling and spatial occupancy modelling offer powerful tools for monitoring remnant populations of northern long-eared bats and guiding conservation practices.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.70122","usgsCitation":"De La Cruz, J.L., Deeley, S.M., Hunter, E.A., and Ford, W., 2025, Spatial occupancy patterns of the endangered northern long‐eared bat in New England: Diversity and Distributions, v. 31, no. 11, e70122, 14 p., https://doi.org/10.1111/ddi.70122.","productDescription":"e70122, 14 p.","ipdsId":"IP-173151","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.70122","text":"Publisher Index Page"},{"id":497482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont","otherGeospatial":"New England","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -68.0467630667936,\n              47.51205906310295\n            ],\n            [\n              -69.45031396213979,\n              47.35719130879998\n            ],\n            [\n              -70.61580060874599,\n              45.750869986415296\n            ],\n            [\n              -71.56018342332794,\n              45.25079633685677\n            ],\n            [\n              -73.36997254667905,\n              44.93837726441758\n            ],\n            [\n              -73.64279304233246,\n              41.439981251049005\n            ],\n            [\n              -69.6894535963497,\n              41.37398252890503\n            ],\n            [\n              -67.03254188469603,\n              44.57837534082219\n            ],\n            [\n              -68.0467630667936,\n              47.51205906310295\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"31","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"De La Cruz, Jesse L","contributorId":363941,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse","middleInitial":"L","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":952119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deeley, Sabrina M.","contributorId":363943,"corporation":false,"usgs":false,"family":"Deeley","given":"Sabrina","middleInitial":"M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":952120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":952122,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272800,"text":"70272800 - 2025 - Detection of viral, bacterial, and protozoan pathogens and microbial source tracking markers in paired large- and small-volume water samples","interactions":[],"lastModifiedDate":"2025-12-09T15:04:46.203031","indexId":"70272800","displayToPublicDate":"2025-11-25T07:58:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19118,"text":"ES&T Water","active":true,"publicationSubtype":{"id":10}},"title":"Detection of viral, bacterial, and protozoan pathogens and microbial source tracking markers in paired large- and small-volume water samples","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>When sampling for waterborne microbes, researchers may need to diverge from recommended sample volumes due to logistical constraints, novel targets, or challenging matrices, with little guidance about the potential impact on results. In field studies, we measured bacteria, viruses, and protozoa (15 quantitative polymerase chain reaction assays) in paired large- and small-volume samples to evaluate method performance and relevant factors. Concordance between methods was low. Large-volume ultrafiltration yielded more detections than small-volume sampling, especially for pathogens in groundwater. Greater microbial concentrations were associated with more frequent detections in small-volume samples and greater concordance between paired samples. Large-volume samples appeared to be more susceptible to diminished sensitivity from complex sample matrices. In laboratory studies, recovery of microbes was poorer for large- than small-volume methods, although large-volume methods more reliably detected low-concentration targets. Large-volume samples were less stable than small-volume samples during storage. Overall, large-volume sampling was superior for detecting pathogens but may underestimate concentrations; small-volume sampling was more prone to false negatives but was adequate when concentrations were relatively high, like we observed for microbial source tracking in surface waters.</span></span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acsestwater.5c00639","usgsCitation":"Heffron, J., Stokdyk, J.P., Firnstahl, A.D., Cook, R.M., Hruby, C.E., and Borchardt, M.A., 2025, Detection of viral, bacterial, and protozoan pathogens and microbial source tracking markers in paired large- and small-volume water samples: ES&T Water, 12 p., https://doi.org/10.1021/acsestwater.5c00639.","productDescription":"12 p.","ipdsId":"IP-178626","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":497409,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsestwater.5c00639","text":"Publisher Index Page"},{"id":497277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"southwest Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.16854398405542,\n              43.724862035862486\n            ],\n            [\n              -91.16854398405542,\n              42.528189766140656\n            ],\n            [\n              -89.21470862754418,\n              42.528189766140656\n            ],\n            [\n              -89.21470862754418,\n              43.724862035862486\n            ],\n            [\n              -91.16854398405542,\n              43.724862035862486\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Heffron, Joe","contributorId":339799,"corporation":false,"usgs":false,"family":"Heffron","given":"Joe","email":"","affiliations":[],"preferred":false,"id":951808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","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":951810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Rachel M.","contributorId":300167,"corporation":false,"usgs":false,"family":"Cook","given":"Rachel","middleInitial":"M.","affiliations":[],"preferred":false,"id":951811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hruby, Claire E.","contributorId":192690,"corporation":false,"usgs":false,"family":"Hruby","given":"Claire","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":951812,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":951813,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272503,"text":"sir20255088 - 2025 - Estimating flood discharges at selected annual exceedance probabilities for unregulated, rural streams in Vermont, 2023","interactions":[],"lastModifiedDate":"2026-02-03T16:37:13.651834","indexId":"sir20255088","displayToPublicDate":"2025-11-24T13:01:21","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5088","displayTitle":"Estimating Flood Discharges at Selected Annual Exceedance Probabilities for Unregulated, Rural Streams in Vermont, 2023","title":"Estimating flood discharges at selected annual exceedance probabilities for unregulated, rural streams in Vermont, 2023","docAbstract":"<p>This report provides estimates of flood discharge at selected annual exceedance probabilities (AEPs) for streamgages in and adjacent to Vermont and equations for estimating flood discharges at AEPs of 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent (recurrence intervals of 2-, 5-, 10-, 25-, 50-, 100-, and 500-years, respectively) for ungaged, unregulated, rural streams in Vermont with drainage areas between 0.47 and 851 square miles. The equations were developed using generalized least-squares regression and flood-frequency and drainage-basin characteristics from 156 streamgages. Flood-frequency analyses were completed using data through the 2023 water year. The drainage-basin characteristics used as explanatory variables in the regression equations are drainage area, percentage of wetland area, and basin-wide mean of the average annual precipitation. The average standard errors of prediction used to estimate flood discharges at the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent AEP with these equations are 34.9, 37.1, 38.2, 41.6, 43.8, 46.0, 49.1, and 53.2 percent, respectively.</p><p>Flood discharges at selected AEPs for streamgages were computed using the Expected Moments Algorithm. Techniques used to adjust an AEP discharge computed from a streamgage record with results from the regression equations and to estimate flood discharge at a selected AEP for an ungaged site upstream or downstream from a streamgage using a drainage-area adjustment are both described. The final regression equations and the flood-discharge frequency data used in this study will be available in StreamStats. StreamStats is an internet-based application that provides automated regression-equation solutions for user-selected sites on streams.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255088","collaboration":"Federal Emergency Management Agency","usgsCitation":"Olson, S.A., 2025, Estimating flood discharges at selected annual exceedance probabilities for unregulated, rural streams in Vermont, 2023: U.S. Geological Survey Scientific Investigations Report 2025–5088, 22 p., 7 app., https://doi.org/10.3133/sir20255088.","productDescription":"Report: vii, 22 p.; Data Release; Appendix","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-175471","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":497797,"rank":8,"type":{"id":36,"text":"NGMDB Index 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 \"}}]}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Estimating Flood Discharges at Selected Annual Exceedance Probabilities for Streamgages</li><li>Characteristics of Streamgage Drainage Basins</li><li>Regression Equations Used to Estimate Flood Discharges at Selected Annual Exceedance Probabilities for Ungaged Stream Sites</li><li>Vermont StreamStats</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Streamgages with Data Used in this Investigation and the Maximum Annual Peak Discharge Recorded at the Streamgages in Vermont and Vicinity</li><li>Appendix 2. Summary of Peak Discharge Data Used in the Flood-Frequency Analyses at Streamgages in Vermont and Vicinity</li><li>Appendix 3. Flood Discharges for Selected Annual Exceedance Probabilities for Selected Streamgages in Vermont and Vicinity</li><li>Appendix 4. Variance of Estimate at Selected Annual Exceedance Probabilities for Streamgages in Vermont and Vicinity</li><li>Appendix 5. Basin Characteristics Tested for Use in the Regression Equations</li><li>Appendix 6. Basin Characteristics Used to Develop the Regression Equations</li><li>Appendix 7. Example Application</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2025-11-24","noUsgsAuthors":false,"publicationDate":"2025-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Olson, Scott A. 0000-0002-1064-2125","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":210173,"corporation":false,"usgs":true,"family":"Olson","given":"Scott A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950830,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70274530,"text":"70274530 - 2025 - Tracking the sources of metals to the San Juan River, Four Corners Region, USA:  An introduction to the thematic issue","interactions":[],"lastModifiedDate":"2026-04-01T13:27:08.722214","indexId":"70274530","displayToPublicDate":"2025-11-24T10:52:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Tracking the sources of metals to the San Juan River, Four Corners Region, USA:  An introduction to the thematic issue","docAbstract":"<p><span>Surface water quantity and quality is important for arid and semi-arid regions where many people, including underserved and Indigenous communities, rely on a scarce resource for drinking water, irrigation, livestock and ceremonial uses. The southwestern United States, and specifically the Four Corners Region (Colorado, Arizona, New Mexico and Utah), is an example of this situation. Elevated concentrations of metals including aluminium, arsenic and lead were identified in previous studies and this study in the San Juan River from below the Navajo Dam, through the Navajo Nation to Mexican Hat, Utah. An interdisciplinary team applied approaches and principles of geology, geochemistry, geomorphology, hydrology and statistics to gain a better understanding of the tributaries supplying the source(s) of metals to the San Juan River. This introductory paper provides an overview of the ‘Metal geochemical fingerprinting to identify sub-watershed source contributions to surface water at a regional arid watershed scale, Four Corners Region, USA’ thematic collection</span><i>.</i><span>&nbsp;An overview of sampling sites, techniques and potential sources of metals is provided. Approaches used in this study could be applied to investigations in similar systems globally.</span></p>","language":"English","publisher":"Geological Society of London","doi":"10.1144/geochem2024-027","usgsCitation":"Blake, J., Austin, S.A., Johnson, F., Brown, J., Chavarria, S., Mixon, R., Van Zante, C., Wilkins, K., Whiting, M.R., Ferguson, C.L., Shephard, Z., Bosch, K., Austring, T.J., Ratigan, Z., Shomour, A.A., and Yager, D., 2025, Tracking the sources of metals to the San Juan River, Four Corners Region, USA:  An introduction to the thematic issue: Geochemistry: Exploration, Environment, Analysis, v. 25, no. 4, geochem2024-027, 16 p., https://doi.org/10.1144/geochem2024-027.","productDescription":"geochem2024-027, 16 p.","ipdsId":"IP-163791","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":501870,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"state":"Arizona, Colorado, New Mexico, Utah","otherGeospatial":"Four Corners region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.73849819939772,\n              37.90517872002948\n            ],\n            [\n              -111.80435454605075,\n              37.90517872002948\n            ],\n            [\n              -111.80435454605075,\n              35.07498855685233\n            ],\n            [\n              -107.73849819939772,\n              35.07498855685233\n            ],\n            [\n              -107.73849819939772,\n              37.90517872002948\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Austin, Stephen A.","contributorId":167625,"corporation":false,"usgs":false,"family":"Austin","given":"Stephen","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":958095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Fred","contributorId":295463,"corporation":false,"usgs":false,"family":"Johnson","given":"Fred","affiliations":[{"id":6963,"text":"Department of Bioscience, Aarhus University","active":true,"usgs":false}],"preferred":false,"id":958096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Jeb E. 0000-0001-7671-2379","orcid":"https://orcid.org/0000-0001-7671-2379","contributorId":225088,"corporation":false,"usgs":true,"family":"Brown","given":"Jeb E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chavarria, Shaleene 0000-0001-8792-1010","orcid":"https://orcid.org/0000-0001-8792-1010","contributorId":222578,"corporation":false,"usgs":true,"family":"Chavarria","given":"Shaleene","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mixon, Rachel Lynn 0000-0001-9863-6784","orcid":"https://orcid.org/0000-0001-9863-6784","contributorId":328595,"corporation":false,"usgs":true,"family":"Mixon","given":"Rachel Lynn","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Zante, C.A. 0000-0003-0266-9827","orcid":"https://orcid.org/0000-0003-0266-9827","contributorId":334817,"corporation":false,"usgs":true,"family":"Van Zante","given":"C.A.","email":"","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilkins, Kate 0000-0002-8096-0153","orcid":"https://orcid.org/0000-0002-8096-0153","contributorId":368916,"corporation":false,"usgs":false,"family":"Wilkins","given":"Kate","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":958101,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Whiting, Michael Ray 0009-0000-9749-6601","orcid":"https://orcid.org/0009-0000-9749-6601","contributorId":368917,"corporation":false,"usgs":true,"family":"Whiting","given":"Michael","middleInitial":"Ray","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958102,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ferguson, Christina L. 0000-0003-3368-0770","orcid":"https://orcid.org/0000-0003-3368-0770","contributorId":225087,"corporation":false,"usgs":true,"family":"Ferguson","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958103,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shephard, Zachary 0000-0003-2994-3355 zshephard@usgs.gov","orcid":"https://orcid.org/0000-0003-2994-3355","contributorId":187680,"corporation":false,"usgs":true,"family":"Shephard","given":"Zachary","email":"zshephard@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958104,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bosch, K. 0000-0002-3874-4609","orcid":"https://orcid.org/0000-0002-3874-4609","contributorId":369065,"corporation":false,"usgs":true,"family":"Bosch","given":"K.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958105,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Austring, Tristan Joel 0000-0002-5790-5498","orcid":"https://orcid.org/0000-0002-5790-5498","contributorId":338725,"corporation":false,"usgs":true,"family":"Austring","given":"Tristan","email":"","middleInitial":"Joel","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958106,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ratigan, Zoreya (Zev) Eden 0009-0005-1075-8266","orcid":"https://orcid.org/0009-0005-1075-8266","contributorId":334365,"corporation":false,"usgs":true,"family":"Ratigan","given":"Zoreya (Zev) Eden","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958107,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shomour, Anani Atahnibaa 0009-0005-2626-392X","orcid":"https://orcid.org/0009-0005-2626-392X","contributorId":368918,"corporation":false,"usgs":true,"family":"Shomour","given":"Anani","middleInitial":"Atahnibaa","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958108,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Yager, Douglas 0000-0001-5074-4022","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":305726,"corporation":false,"usgs":false,"family":"Yager","given":"Douglas","affiliations":[],"preferred":false,"id":958109,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70274120,"text":"70274120 - 2025 - Late Quaternary pollen record from southwest Seward Peninsula, western Alaska, and the vegetation history of central Beringia","interactions":[],"lastModifiedDate":"2026-02-26T16:45:16.585601","indexId":"70274120","displayToPublicDate":"2025-11-24T09:40:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary pollen record from southwest Seward Peninsula, western Alaska, and the vegetation history of central Beringia","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Pollen analysis of samples from a coastal exposure near Teller, southwestern Seward Peninsula, Alaska, provides a record of vegetation and climate spanning the Last Glacial Maximum (LGM) through the Holocene. The site is near the center of the former Bering Land Bridge (BLB). The oldest pollen-bearing sediment unit is a loess deposit of LGM age, with pollen assemblages that closely resemble LGM assemblages from other key sites in central Beringia spanning 16° of latitude. These fossil assemblages represent vegetation composed primarily of grasses, sedges,&nbsp;</span><i>Artemisia</i><span>, willows, and forbs and are interpreted to represent steppe–tundra, associated with dry climates and summer temperatures cooler than at present. LGM mosses did not accumulate insulating layers of peat; the summer active soil layer was deeper than at present. Permafrost with ice wedges and loess deposition were widespread. A regional transition from steppe–tundra vegetation to a dwarf shrub–sedge–moss mesic-to-wetland vegetation began in central Beringia with the onset of Bølling–Allerød (B-A) warming at 14,700 cal yr BP. Warming events of the B-A and early Holocene resulted in widespread development of thermokarst terrain on the BLB and on ice-rich terrain in Western Alaska. Mesic climates and vegetation developed on the BLB during the marine transgression and because of B-A and early Holocene warming. Early Holocene warming allowed some boreal forest species such as alders to begin colonizing Western Alaska from the interior.</span></span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2025.2575555","usgsCitation":"Ager, T.A., 2025, Late Quaternary pollen record from southwest Seward Peninsula, western Alaska, and the vegetation history of central Beringia: Arctic, Antarctic, and Alpine Research, v. 57, no. 1, 2575555, 35 p., https://doi.org/10.1080/15230430.2025.2575555.","productDescription":"2575555, 35 p.","ipdsId":"IP-173345","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":500611,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2025.2575555","text":"Publisher Index Page"},{"id":500550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -169.32417977560934,\n              66.76862458219912\n            ],\n            [\n              -169.32417977560934,\n              64.13111893464969\n            ],\n            [\n              -161.8068024698362,\n              64.13111893464969\n            ],\n            [\n              -161.8068024698362,\n              66.76862458219912\n            ],\n            [\n              -169.32417977560934,\n              66.76862458219912\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ager, Thomas A. 0000-0002-5029-7581","orcid":"https://orcid.org/0000-0002-5029-7581","contributorId":220219,"corporation":false,"usgs":false,"family":"Ager","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":956596,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70272820,"text":"70272820 - 2025 - A monitoring framework to assess forest bird population response to landscape scale mosquito suppression using the Incompatible Insect Technique","interactions":[],"lastModifiedDate":"2025-12-10T15:52:46.387704","indexId":"70272820","displayToPublicDate":"2025-11-24T09:39:50","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":6053,"text":"Hawaii Cooperative Studies Unit Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"HCSU-119","title":"A monitoring framework to assess forest bird population response to landscape scale mosquito suppression using the Incompatible Insect Technique","docAbstract":"<p><span>The Birds, Not Mosquitoes Monitoring and Support Science Working Group detailed methods for monitoring the population response of Hawaiian forest birds during implementation of the Incompatible Insect Technique (IIT) on the islands of Maui and Kauaʻi. The group prioritized methods for measuring the influence of mosquito suppression on populations within IIT treatment and control areas and identified focal species for IIT efficacy monitoring in birds. Three primary metrics were established to assess the impact of IIT on vulnerable species: population demography, density, and geographic range. Each metric can be evaluated using multiple methods. This report reviews those methods, with emphasis on approaches supported by pre-IIT baseline data and compatible with a before-after control-impact (BACI) study design for evaluating population responses over time. Focal avian species were selected based on population size estimates, fecundity, and disease susceptibility. We identified ʻākohekohe (Palmeria dolei), ʻiʻiwi (Drepanis coccinea), Maui ʻalauahio (Paroreomyza montana), Hawaiʻi ʻamakihi (Chlorodrepanis virens), Kauaʻi ʻamakihi (Chlorodrepanis stejnegeri), Kauaʻi ʻelepaio (Chasiempis sclateri), and ʻanianiau (Magumma parva) as focal species for monitoring population level response to disease suppression. </span></p><p><span>Populations of kiwikiu (Pseudonestor xanthophrys), ʻakikiki (Oreomystis bairdi), akekeʻe (Loxops caeruleirostris), and the ʻiʻiwi population on Kauaʻi may be too small (e.g., &lt;100 individuals) to effectively monitor, and it is unlikely that sufficient data can be collected from these birds to show IIT efficacy in a relatively short time frame (i.e., 5–10 years). Despite the logistical challenges to IIT implementation, there is potential to maintain disease-free status in individual populations of birds. Indeed, the continued existence of these critically endangered species in the wild within or near IIT treatment areas could be considered an accomplishment of IIT, given the current predictions for their extinction in the wild within 5–10 years. Demographic monitoring methods, including territory mapping, nest monitoring, mist-netting, and mark-recapture studies, provide direct evidence of survivorship and reproductive output. </span></p><p><span>When combined with disease surveillance, these approaches could provide the most robust evidence of increased survivorship and productivity resulting from avian malaria suppression via IIT. However, demographic studies require several years of monitoring to achieve statistically robust BACI comparisons of survivorship and are more difficult to implement relative to other approaches. Given that these field efforts are labor-intensive and heavily reliant on personnel availability and funding, demographic monitoring could be conducted when adequate resources permit. </span></p><p><span>On both Maui and Kauaʻi, passive acoustic monitoring (PAM) was identified as a priority method for monitoring the range, occupancy, and relative abundance of focal species. Autonomous recording units (ARUs) can record bird vocalizations in remote areas for several months. </span></p><p><span>Innovative machine learning techniques permit rapid and semi-autonomous identification of most endemic honeycreepers on each island, maximizing sampling efficiencies and minimizing data processing costs. We predict mosquito suppression could support expansion of focal species into areas where disease transmission is currently excluding these species and expect acoustic monitoring data of focal species to reflect these spatial patterns. Additionally, the relative occupancy and call densities can be monitored temporally and spatially to assess the efficacy of IIT for supporting positive growth in vulnerable bird species. It is not yet clear if PAM is more effective than other methods, such as distance sampling, for detecting trends in the densities of rare species. However, the increased detections resulting from the larger sample size per observation point using ARUs will likely improve accuracy in detecting changes in species’ ranges. Collection of during and after treatment data within the BACI design could help to provide critical information to track avian population response, recovery, and potential range expansion related to IIT efforts. Point-transect distance sampling (point-counts) was prioritized as a method for monitoring population densities of focal species. Extensive historical sampling across focal species’ ranges provides a robust baseline for detecting change. These counts provide updated population densities and can be used to assess the distribution of focal species within IIT treatment areas. </span></p><p><span>However, detecting subtle population changes with traditional distance sampling requires intensive spatial and temporal effort and may be less effective for rare species. To improve resolution, density surface modeling can integrate multiple data sources (e.g., point-counts, PAM, spot-mapping, and resightings) to estimate species-specific densities at finer spatial scales, including within and outside IIT treatment areas. This integrated modeling approach allows for detailed comparisons and may reveal early signs of recovery, including recolonization of formerly occupied sites. A coordinated monitoring strategy can allow managers to evaluate the success of mosquito suppression as a conservation intervention and support adaptive management in the face of emerging challenges.</span></p>","language":"English","publisher":"University of Hawai‘i at Hilo","usgsCitation":"Judge, S., Warren, C.C., Navine, A.K., Camp, R.J., Crampton, L.H., Mounce, H.L., Vetter, J., Smith, L., Hart, P.J., Bellinger, M.R., and McClure, K.M., 2025, A monitoring framework to assess forest bird population response to landscape scale mosquito suppression using the Incompatible Insect Technique: Hawaii Cooperative Studies Unit Technical Report HCSU-119, iv, 40 p.","productDescription":"iv, 40 p.","ipdsId":"IP-179519","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":497301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497294,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5402"}],"country":"United States","state":"Hawaii","otherGeospatial":"Alaka'i Plateau, Haleakalā National Park , Waikamoi region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.1522358062181,\n              20.73823881977907\n            ],\n            [\n              -156.1522358062181,\n              20.64621454011673\n            ],\n            [\n              -156.0266571558431,\n              20.64621454011673\n            ],\n            [\n              -156.0266571558431,\n              20.73823881977907\n            ],\n            [\n              -156.1522358062181,\n              20.73823881977907\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.24921043067422,\n              20.86997751409396\n            ],\n            [\n              -156.24921043067422,\n              20.764987165934627\n            ],\n            [\n              -156.1306083719868,\n              20.764987165934627\n            ],\n            [\n              -156.1306083719868,\n              20.86997751409396\n            ],\n            [\n              -156.24921043067422,\n              20.86997751409396\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -159.60125365576934,\n              22.147325602222963\n            ],\n            [\n              -159.60125365576934,\n              22.042746120889333\n            ],\n            [\n              -159.48161313138613,\n              22.042746120889333\n            ],\n            [\n              -159.48161313138613,\n              22.147325602222963\n            ],\n            [\n              -159.60125365576934,\n              22.147325602222963\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Judge, Seth 0000-0003-3832-3246","orcid":"https://orcid.org/0000-0003-3832-3246","contributorId":189965,"corporation":false,"usgs":false,"family":"Judge","given":"Seth","email":"","affiliations":[],"preferred":false,"id":951876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warren, Christopher C","contributorId":264665,"corporation":false,"usgs":false,"family":"Warren","given":"Christopher","email":"","middleInitial":"C","affiliations":[{"id":54533,"text":"Maui Forest Bird Recovery Project, Pacific Cooperative Studies Unit, University of Hawai‘i at Manoa","active":true,"usgs":false}],"preferred":false,"id":951877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Navine, Amanda K","contributorId":333575,"corporation":false,"usgs":false,"family":"Navine","given":"Amanda","email":"","middleInitial":"K","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":951878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":951879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crampton, Lisa H. 0000-0002-5420-4338","orcid":"https://orcid.org/0000-0002-5420-4338","contributorId":359942,"corporation":false,"usgs":false,"family":"Crampton","given":"Lisa","middleInitial":"H.","affiliations":[{"id":85948,"text":"Kauaʻi Forest Bird Recovery Project","active":true,"usgs":false}],"preferred":false,"id":951880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mounce, Hanna L","contributorId":363605,"corporation":false,"usgs":false,"family":"Mounce","given":"Hanna","middleInitial":"L","affiliations":[{"id":13352,"text":"Maui Forest Bird Recovery Project","active":true,"usgs":false}],"preferred":false,"id":951881,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vetter, John","contributorId":291840,"corporation":false,"usgs":false,"family":"Vetter","given":"John","affiliations":[{"id":55513,"text":"USFWS - Pacific Islands Fish and Wildlife Office","active":true,"usgs":false}],"preferred":false,"id":951882,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Lauren K. 0000-0003-1783-715X","orcid":"https://orcid.org/0000-0003-1783-715X","contributorId":353538,"corporation":false,"usgs":false,"family":"Smith","given":"Lauren K.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":951883,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":951884,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bellinger, Mona Renee 0000-0001-5274-9572","orcid":"https://orcid.org/0000-0001-5274-9572","contributorId":301018,"corporation":false,"usgs":true,"family":"Bellinger","given":"Mona","email":"","middleInitial":"Renee","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":951885,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McClure, Katherine Maria 0000-0001-8595-7677","orcid":"https://orcid.org/0000-0001-8595-7677","contributorId":332279,"corporation":false,"usgs":true,"family":"McClure","given":"Katherine","email":"","middleInitial":"Maria","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":951886,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70273153,"text":"70273153 - 2025 - Groundwater structures fish growth and production across a riverscape","interactions":[],"lastModifiedDate":"2025-12-17T15:07:26.397254","indexId":"70273153","displayToPublicDate":"2025-11-23T08:59:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater structures fish growth and production across a riverscape","docAbstract":"<ol class=\"\"><li>Landscapes are composed of habitat patches and conditions that vary across space and time. While habitat variability and complexity can support important ecological processes and ecosystem services, the dynamic nature of habitats can also constrain organismal growth and production as optimal conditions are fleeting. In riverine ecosystems, groundwater discharge to streams stabilises water temperature and flow regimes, thus mediating how habitat complexity is expressed. Yet, how stable habitats structure growth and production within the broader landscape matrix is not well understood.</li><li>In this study, we explored the effects of groundwater on spatiotemporal variation in growth and production for juvenile Yellowstone cutthroat trout (<i>Oncorhynchus virginalis bouvieri</i>) across the upper Snake River catchment, Wyoming, USA. We combined machine learning techniques and remotely sensed landscape data to estimate groundwater availability across the river network, which we linked to stream temperature regimes and conspecific density. We then used Bayesian hierarchical models to quantify the effects of temperature, density and groundwater on spatiotemporal variation in fish growth and production in 52 focal reaches. Finally, we predicted body size trajectories and trends in total production continuously over both space and time to understand the effect of groundwater at the riverscape scale.</li><li>Groundwater discharged to streams where topography changes abruptly in valley-bottom areas underlain by coarse glacial deposits. Groundwater stabilised temperature regimes and was associated with high trout densities. Temperature and density, in turn, interacted to influence growth rates: growth increased strongly with temperature, but this effect was reduced when density was high. Accordingly, variation in groundwater availability among stream reaches diversified growth and production regimes. In reaches with low groundwater availability, growth and production declined over time from summer maxima. In contrast, in reaches with high groundwater availability, temporal trends in growth and production were hump-shaped—peaking in autumn—and mean production was greater. At the riverscape scale, temporal asynchrony in growth rates generated convergent spatial variation in growth capacity, but—when combined with density—led to the formation of distinct hotspots of production.</li><li>Our results demonstrate how groundwater, an important driver of aquatic ecosystem heterogeneity, structures trout growth and production across space and time. Importantly, rare, but stable habitats may disproportionately affect ecological processes and serve as key sources of population diversity at larger spatial scales.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.70112","usgsCitation":"Baldock, J.R., Al-Chokhachy, R., and Walters, A.W., 2025, Groundwater structures fish growth and production across a riverscape: Freshwater Biology, v. 70, no. 11, e70112, 17 p., https://doi.org/10.1111/fwb.70112.","productDescription":"e70112, 17 p.","ipdsId":"IP-167512","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":497735,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.70112","text":"Publisher Index Page"},{"id":497632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"upper Snake River catchment","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111,\n              44.5\n            ],\n            [\n              -111,\n              43\n            ],\n            [\n              -110,\n              43\n            ],\n            [\n              -110,\n              44.5\n            ],\n            [\n              -111,\n              44.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"70","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldock, Jeffrey R.","contributorId":364299,"corporation":false,"usgs":false,"family":"Baldock","given":"Jeffrey","middleInitial":"R.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":952466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":216140,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":952467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":952468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272628,"text":"70272628 - 2025 - When do single-species occupancy models outperform multispecies models?","interactions":[{"subject":{"id":70266474,"text":"70266474 - 2025 - Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design","indexId":"70266474","publicationYear":"2025","noYear":false,"title":"Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design"},"predicate":"SUPERSEDED_BY","object":{"id":70272628,"text":"70272628 - 2025 - When do single-species occupancy models outperform multispecies models?","indexId":"70272628","publicationYear":"2025","noYear":false,"title":"When do single-species occupancy models outperform multispecies models?"},"id":1}],"lastModifiedDate":"2025-11-26T14:27:14.908635","indexId":"70272628","displayToPublicDate":"2025-11-23T08:22:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"When do single-species occupancy models outperform multispecies models?","docAbstract":"<p><span>Occupancy models have become increasingly popular for species monitoring and assessment, in part, because detection/non-detection data are readily obtained using a variety of methods. Multispecies occupancy models (MSOMs) can yield more accurate parameter estimates than single-species models (SSOMs) with less data through their hierarchical structure, making MSOMs an attractive option when species are hard to detect or when data collection is constrained, leading to sparse datasets. Such constraints may arise from limited sampling resources, but also occur in rare species monitoring or where preliminary results are desired to inform adaptive management. Further, experimental habitat treatments often impose spatial constraints on sampling based on the scale of their implementation. Whether a MSOM outperforms SSOMs depends on the volume of data, characteristics of the ecological community, research goals of a study and how these factors align with modeling assumptions. We performed a simulation study of hypothetical pollinator communities under varying sampling intensities for scenarios in which experimental habitat treatments produced different community-level effects. We fit occupancy models to simulated datasets and assessed model performance. At lower sampling intensities (&lt; 20 spatial replicates and &lt; 4 temporal replicates), MSOM community-level treatment effect estimates were biased. Even at twice this sampling intensity, SSOMs yielded more accurate species-specific effect estimates in treatment effect scenarios with high variance. In some cases, MSOMs can pull species in the tails of distributions too far toward the community mean effect, which risks incorrect conclusions concerning whether treatments help or harm individual species. When quantifying species-specific effects is the main objective, particularly for rarely observed species, SSOMs are more robust to outliers across a range of community response scenarios. Researchers can use this information to inform study design, guide simulation studies and decide whether the higher precision of MSOMs outweighs risks of improperly estimated effects for some species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72315","usgsCitation":"Cotterill, G.G., Keinath, D.A., and Graves, T., 2025, When do single-species occupancy models outperform multispecies models?: Ecology and Evolution, v. 15, no. 11, e72315, 14 p., https://doi.org/10.1002/ece3.72315.","productDescription":"e72315, 14 p.","ipdsId":"IP-178046","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72315","text":"Publisher Index Page"},{"id":496899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Cotterill, Gavin G. 0000-0002-1408-778X","orcid":"https://orcid.org/0000-0002-1408-778X","contributorId":346534,"corporation":false,"usgs":true,"family":"Cotterill","given":"Gavin","middleInitial":"G.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keinath, Douglas A.","contributorId":363056,"corporation":false,"usgs":false,"family":"Keinath","given":"Douglas","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951039,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273831,"text":"70273831 - 2025 - Topographic, climatic, and age controls on the reworking of volcanic debris avalanche deposits","interactions":[],"lastModifiedDate":"2026-02-05T15:07:01.492317","indexId":"70273831","displayToPublicDate":"2025-11-23T08:01:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Topographic, climatic, and age controls on the reworking of volcanic debris avalanche deposits","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Volcanic debris avalanches have deposited as much as 1000 km</span><sup>3</sup><span>&nbsp;of largely unconsolidated material on landscapes and remodeled existing drainage networks. The landscape disturbances created by these events pose severe, cascading downstream sedimentation hazards that can require long-term societal management, as demonstrated by decades of observations and ongoing interventions after the deposition of the 1980 debris avalanche of Mount St. Helens (United States). There, post-emplacement sediment yields caused by deposit erosion remain several times above estimated background yield and lakes impounded by the deposit still pose threats of downstream flooding. Despite the length and quality of measurements of the geomorphic evolution and consequent sediment release at Mount St. Helens, the long-term trajectory of drainage network evolution across, and the associated sediment release from, large volcanic debris avalanches remains uncertain. Observations and modeling at Mount St. Helens, however, indicate channel instability can persist many decades and may persist for centuries to millennia. We examined potential influences on the erosion and preservation of volcanic debris avalanche deposits (VDADs) by mapping valley networks developed on 89 VDADs selected from volcanic arcs across the world and spanning a variety of topographic settings and climate regimes. Using the best available topographic data (1 m lidar to 30 m radar-derived data depending on location) and aerial imagery, we estimated the areas of deposits that have been reworked relative to initial deposit footprints as a proxy for post-emplacement erosion. We found that a primary influence on reworking is the topographic confinement of the VDAD: confined, valley-filling deposits are systematically more reworked than unconfined deposits. There is no apparent relationship between deposit age and reworking for valley-filling deposits, indicating that drainage networks on deposits in confined topographic settings like at Mount St. Helens reform rapidly after emplacement. In contrast, our data indicate that the reworking of unconfined deposits has a monotonic positive relationship with age. This observation agrees with a conceptual model of channel formation at Mount Taranaki (New Zealand), which posits that an unconfined VDAD created a topographic high that initially (e.g., 2–8 ky for the Pungarehu formation at Taranaki) diverted erosion to the deposit margins. We found only a weak to moderate relationship between reworking and modern precipitation regimes, which may reflect differences between modern and paleo-precipitation conditions at many of our study sites. We also found no correlation between the size (surface area or volume) of deposits and the degree of reworking. The work presented here implies that downstream cascading sediment hazards from landscape-resetting processes like VDADs (such as thick, extensive pyroclastic flow deposits) depend on the relief and organization of the surrounding landscape.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-025-01914-0","usgsCitation":"Sweeney, K., and Major, J.J., 2025, Topographic, climatic, and age controls on the reworking of volcanic debris avalanche deposits: Bulletin of Volcanology, v. 87, 115, https://doi.org/10.1007/s00445-025-01914-0.","productDescription":"115","ipdsId":"IP-167440","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.35475363838827,\n              46.30537067138167\n            ],\n            [\n              -122.35475363838827,\n              46.11419720033388\n            ],\n            [\n              -121.99492703337631,\n              46.11419720033388\n            ],\n            [\n              -121.99492703337631,\n              46.30537067138167\n            ],\n            [\n              -122.35475363838827,\n              46.30537067138167\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Sweeney, Kristin","contributorId":365989,"corporation":false,"usgs":false,"family":"Sweeney","given":"Kristin","affiliations":[{"id":61798,"text":"University of Portland","active":true,"usgs":false}],"preferred":false,"id":955119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":955120,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273755,"text":"70273755 - 2025 - Twenty years (2000-2020) of butterfly monitoring data across the contiguous United States","interactions":[],"lastModifiedDate":"2026-01-28T16:44:37.745111","indexId":"70273755","displayToPublicDate":"2025-11-22T09:37:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"Twenty years (2000-2020) of butterfly monitoring data across the contiguous United States","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>We present the most comprehensive, integrated, butterfly monitoring dataset ever assembled for the United States. It contains over 1.2 million count records, from 65,000 surveys, representing over 12.6 million individual butterflies. To compile this dataset, we integrated data and harmonized taxonomy across 19 butterfly monitoring programs in the United States – one national, 13 statewide, and 5 local (e.g. individual county or National Park) in scale. In addition to the data, we also provide the taxonomic dictionary used to crosswalk butterfly taxonomy across programs, and the code used to assemble the integrated dataset. The publication of this dataset will inspire new analyses of butterfly population trends and drivers that help to identify solutions to the biodiversity crisis.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41597-025-05513-8","usgsCitation":"Henry, E.H., Edwards, C., Shirey, V., Pippen, J.S., Waetjen, D., Forister, M.L., Larsen, E., Schultz, C.B., Michielini, J., Brockman, N., Burls, K., Drum, R., Gatch, M., Glassberg, J., Hamlett, N., Hershcovich, S.V., Le, C., McGaffin, S., Meilinger, J., Richter, L., Rochefort, R., Schelz, C., Shapiro, A.M., Sullivan, K., Taron, D., Thogmartin, W.E., Walker, A., Westphal, A., Wiedmann, J., Wilcockson, I.U., Zaspel, J., and Ries, L., 2025, Twenty years (2000-2020) of butterfly monitoring data across the contiguous United States: Scientific Data, v. 12, 1869, 8 p., https://doi.org/10.1038/s41597-025-05513-8.","productDescription":"1869, 8 p.","ipdsId":"IP-174696","costCenters":[{"id":606,"text":"Upper Midwest 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,{"id":70272715,"text":"70272715 - 2025 - The rise of U.S. photovoltaics: An exploration of land use density trends in large-scale solar facility attributes, 2012-2021","interactions":[],"lastModifiedDate":"2025-12-05T14:49:04.731798","indexId":"70272715","displayToPublicDate":"2025-11-22T08:43:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23086,"text":"International Journal of Photoenergy","active":true,"publicationSubtype":{"id":10}},"title":"The rise of U.S. photovoltaics: An exploration of land use density trends in large-scale solar facility attributes, 2012-2021","docAbstract":"<p><span>An energy transition is underway in the United States; renewable energy generation is now on par with coal and nuclear generation. The number of large-scale solar photovoltaic facilities increased approximately tenfold between 2012 and 2021, with an associated 25-fold increase in cumulative installed capacity. With ambitious decarbonization and renewable energy deployment goals at both the federal and state levels, deployments of large-scale solar photovoltaic facilities will continue apace. This growth is likely to be complex with ripples of impacts felt throughout different aspects of society, and thus accurate solar land use metrics allowing more accurate predictions are of value to policymakers, planners, and other stakeholders in the future photovoltaic build-out. In this paper, we leverage data from the newly released US Large-Scale Solar Photovoltaic Database to examine recent trends in large-scale solar photovoltaic land use. We analyze the relationships between solar array capacity density (W/acre) and a range of facility attributes to better understand the future land requirements of solar capacity expansion over the coming years. Installed capacity was the single strongest determinant of solar array area. However, we found substantial variation in capacity density across facility attributes, including mount type, latitude, urbanicity, time, and prior land use.</span></p>","language":"English","publisher":"Wiley","doi":"10.1155/ijph/6686514","usgsCitation":"Fujita, K.S., Hoen, B., Robson, D., Rand, J., Ancona, Z.H., Diffendorfer, J., Kramer, L., Garrity, C., Gu, J., and Macknick, J., 2025, The rise of U.S. photovoltaics: An exploration of land use density trends in large-scale solar facility attributes, 2012-2021: International Journal of Photoenergy, v. 2025, 6686514, 18 p., https://doi.org/10.1155/ijph/6686514.","productDescription":"6686514, 18 p.","ipdsId":"IP-170609","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":497387,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/ijph/6686514","text":"Publisher Index 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]\n}","volume":"2025","noUsgsAuthors":false,"publicationDate":"2025-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Fujita, K. Sydny","contributorId":331485,"corporation":false,"usgs":false,"family":"Fujita","given":"K.","middleInitial":"Sydny","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":951420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoen, Ben 0000-0002-9512-5572","orcid":"https://orcid.org/0000-0002-9512-5572","contributorId":204879,"corporation":false,"usgs":false,"family":"Hoen","given":"Ben","email":"","affiliations":[{"id":37001,"text":"DOE Lawrence Berkeley National Labs","active":true,"usgs":false}],"preferred":false,"id":951421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robson, Dana","contributorId":331488,"corporation":false,"usgs":false,"family":"Robson","given":"Dana","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":951422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rand, Joesph 0000-0002-6398-2473","orcid":"https://orcid.org/0000-0002-6398-2473","contributorId":204880,"corporation":false,"usgs":false,"family":"Rand","given":"Joesph","email":"","affiliations":[{"id":37002,"text":"DOE LBNL","active":true,"usgs":false}],"preferred":false,"id":951423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ancona, Zachary H. 0000-0001-5430-0218 zancona@usgs.gov","orcid":"https://orcid.org/0000-0001-5430-0218","contributorId":5578,"corporation":false,"usgs":true,"family":"Ancona","given":"Zachary","email":"zancona@usgs.gov","middleInitial":"H.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":223504,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kramer, Louisa 0000-0002-6776-9768","orcid":"https://orcid.org/0000-0002-6776-9768","contributorId":204878,"corporation":false,"usgs":true,"family":"Kramer","given":"Louisa","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garrity, Christopher 0000-0002-5565-1818 cgarrity@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-1818","contributorId":220994,"corporation":false,"usgs":true,"family":"Garrity","given":"Christopher","email":"cgarrity@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951427,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gu, Jianyu","contributorId":138719,"corporation":false,"usgs":false,"family":"Gu","given":"Jianyu","email":"","affiliations":[{"id":12507,"text":"Department of Natural Resources and the Environment, University of New Hampshire, 56 College Road, Durham, NH 03824, USA","active":true,"usgs":false}],"preferred":false,"id":951428,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Macknick, Jordan","contributorId":363275,"corporation":false,"usgs":false,"family":"Macknick","given":"Jordan","affiliations":[{"id":33782,"text":"National Renewable Energy Laboratory","active":true,"usgs":false}],"preferred":false,"id":951429,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70272622,"text":"70272622 - 2025 - Drowned river mouth lakes are winter foraging habitats for the expanding Lake Michigan cisco Coregonus artedi population","interactions":[],"lastModifiedDate":"2025-11-26T14:08:32.471574","indexId":"70272622","displayToPublicDate":"2025-11-22T08:02:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Drowned river mouth lakes are winter foraging habitats for the expanding Lake Michigan cisco <i>Coregonus artedi</i> population","title":"Drowned river mouth lakes are winter foraging habitats for the expanding Lake Michigan cisco Coregonus artedi population","docAbstract":"<p><span>Characterizing fish movements is required for understanding habitat use, energy flow, and trophic structure and can inform fisheries management. Drowned river mouth (DRM) lakes are productive inland habitats in the Laurentian Great Lakes basin used by migratory fishes. Despite recognition of their ecological connections to the Great Lakes, the value of DRM lakes as seasonal habitats is not well understood for many fishes. One such species, cisco&nbsp;</span><i>Coregonus artedi</i><span>, has recently expanded in Lake Michigan from near extirpation to higher relative abundances in the northeastern portion of the lake. Cisco are recreationally harvested in some DRM lakes during winter, but little is known about cisco movement patterns and ecology. In winter 2022 and 2023, we collected cisco from three DRM lakes along the eastern shores of Lake Michigan (Lake Charlevoix, Portage Lake, Muskegon Lake) to characterize genetics, morphometrics, and diets. We also implanted telemetry tags in 20 cisco collected in Lake Charlevoix to examine movement patterns and determine DRM lake residency (i.e., seasonal vs. year-round). We found no consistent genetic or morphometric differentiation across DRM lakes, suggesting that recolonization began from a single stock. Fish were the only diet item found in cisco guts collected during winter months. Movement patterns from Lake Charlevoix indicated strong spawning site fidelity to Grand Traverse Bay as well as non-spawning site fidelity. However, given the presence of cisco in southern DRM lakes and some site-specific differences in morphometrics, managers could benefit from further research to determine whether spawning occurs in southern Lake Michigan.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102683","usgsCitation":"Tingley, R.W., Hondorp, D.W., Turschak, B.A., Pothoven, S.A., Ackiss, A.S., Jonas, J., Fetzer, W.W., Leonhardt, B.S., Honsey, A.E., Elliott, J., Egedy, L., Brant, C., Benes, L., Kozlauskos, K., Renauer-Bova, R., and Ropp, A.J., 2025, Drowned river mouth lakes are winter foraging habitats for the expanding Lake Michigan cisco Coregonus artedi population: Journal of Great Lakes Research, https://doi.org/10.1016/j.jglr.2025.102683.","ipdsId":"IP-179185","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":496896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tingley, Ralph W. III 0000-0002-1689-2133","orcid":"https://orcid.org/0000-0002-1689-2133","contributorId":189812,"corporation":false,"usgs":true,"family":"Tingley","given":"Ralph","suffix":"III","email":"","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turschak, Benjamin A.","contributorId":150497,"corporation":false,"usgs":false,"family":"Turschak","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":true,"id":950987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pothoven, Steven A.","contributorId":362161,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","middleInitial":"A.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":950988,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950989,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jonas, Jory","contributorId":195544,"corporation":false,"usgs":false,"family":"Jonas","given":"Jory","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":950990,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fetzer, William W.","contributorId":363043,"corporation":false,"usgs":false,"family":"Fetzer","given":"William","middleInitial":"W.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":950991,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leonhardt, Benjamin Scott 0000-0002-7140-4227","orcid":"https://orcid.org/0000-0002-7140-4227","contributorId":330263,"corporation":false,"usgs":true,"family":"Leonhardt","given":"Benjamin","email":"","middleInitial":"Scott","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950992,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Honsey, Andrew Edgar 0000-0001-7535-1321","orcid":"https://orcid.org/0000-0001-7535-1321","contributorId":295468,"corporation":false,"usgs":true,"family":"Honsey","given":"Andrew","email":"","middleInitial":"Edgar","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950993,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Elliott, Jeff","contributorId":363045,"corporation":false,"usgs":false,"family":"Elliott","given":"Jeff","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":950994,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Egedy, Lindsie Ann 0000-0003-1359-8219","orcid":"https://orcid.org/0000-0003-1359-8219","contributorId":356946,"corporation":false,"usgs":true,"family":"Egedy","given":"Lindsie Ann","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950995,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Brant, Cory 0000-0002-0919-1566","orcid":"https://orcid.org/0000-0002-0919-1566","contributorId":223422,"corporation":false,"usgs":true,"family":"Brant","given":"Cory","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950996,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Benes, Lynn","contributorId":363048,"corporation":false,"usgs":false,"family":"Benes","given":"Lynn","affiliations":[{"id":86597,"text":"Great Lakes Science Center (retired)","active":true,"usgs":false}],"preferred":false,"id":950997,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kozlauskos, Kendra","contributorId":363049,"corporation":false,"usgs":false,"family":"Kozlauskos","given":"Kendra","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":950998,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Renauer-Bova, Renee","contributorId":363051,"corporation":false,"usgs":false,"family":"Renauer-Bova","given":"Renee","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":950999,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ropp, Ann J. 0000-0002-7934-6471","orcid":"https://orcid.org/0000-0002-7934-6471","contributorId":305950,"corporation":false,"usgs":true,"family":"Ropp","given":"Ann","email":"","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":951000,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70275199,"text":"70275199 - 2025 - Success of restoration strategies in preventing extirpation of 2 critically endangered coral species","interactions":[],"lastModifiedDate":"2026-04-22T14:51:23.073098","indexId":"70275199","displayToPublicDate":"2025-11-22T07:45:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Success of restoration strategies in preventing extirpation of 2 critically endangered coral species","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>An unprecedented marine heatwave in 2023 caused widespread coral bleaching and mortality throughout the Caribbean. In the Florida Keys (USA), 2 foundation species, elkhorn coral (</span><i>Acropora palmata</i><span>) and staghorn coral (</span><i>Acropora cervicornis</i><span>), were severely affected. These species have been the primary focus of reef restoration in Florida for decades. Substantial losses of these species occurred in outplanted populations, in ocean-based nurseries, and among remnant wild colonies, leading to uncertainty over their future in the Florida Keys, given recent observed trends in climate conditions. However, the past 2 decades of restoration activity created a community of experts, a network of ocean-based and land-based coral-rearing infrastructure, and 2 independent land-based coral gene banks that prevented regional extirpation and preserved much of the genetic richness of these critically endangered coral species. Without the past decades of effort and the emergency response associated with the 2023 bleaching event, Florida acroporids would largely have been lost. This outcome afforded by the restoration network in Florida demonstrates the value of proactively establishing resources prior to major disturbances. We identified several critical strategies that, in the context of existing climate change, are preventing the extirpation of coral species in Florida, including extending collaborative restoration efforts to solidify a network of trained experts; establishing trust-focused relationships among management agencies and restoration groups; testing direct interventions to reduce light and temperature stress early during thermal anomalies; developing redundant ocean-based and land-based nurseries; and establishing living coral gene banks prior to major threats to prevent the extirpation of coral species.</span></span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.70168","usgsCitation":"Muller, E.M., Ladd, M.C., Karp, R.F., Montoya-Maya, P.H., Kuffner, I.B., Baker, A.C., Bartels, E., Bourque, A., Clark, A.S., Cox, N., D’Alessandro, M., Daughtry, B., Firchau, B., Fix, L., Gilliam, D.S., Hesley, D., Lewis, C., Lirman, D., Lustic, C., Macauley, K., Moore, J., Nedimyer, K., O’Neil, K., Parsons, K.T., Smith, K.M., Spadaro, J., Thomasson, B.C., Unsworth, J.D., Vaughan, D., and Miller, M.W., 2025, Success of restoration strategies in preventing extirpation of 2 critically endangered coral species: Conservation Biology, v. 40, no. 2, e70168, 12 p., https://doi.org/10.1111/cobi.70168.","productDescription":"e70168, 12 p.","ipdsId":"IP-168200","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":503301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.59868413802326,\n              28.239127170089148\n            ],\n            [\n         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Kevin","contributorId":370199,"corporation":false,"usgs":false,"family":"Macauley","given":"Kevin","affiliations":[{"id":87197,"text":"Reef Renewal USA","active":true,"usgs":false}],"preferred":false,"id":959954,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Moore, Jennifer","contributorId":328646,"corporation":false,"usgs":false,"family":"Moore","given":"Jennifer","affiliations":[{"id":78438,"text":"Moore Ecological Analysis and Management, LLC","active":true,"usgs":false}],"preferred":false,"id":959955,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Nedimyer, Ken","contributorId":370208,"corporation":false,"usgs":false,"family":"Nedimyer","given":"Ken","affiliations":[{"id":87197,"text":"Reef Renewal USA","active":true,"usgs":false}],"preferred":false,"id":959956,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"O’Neil, Keri","contributorId":370209,"corporation":false,"usgs":false,"family":"O’Neil","given":"Keri","affiliations":[{"id":87997,"text":"The Florida Aquarium","active":true,"usgs":false}],"preferred":false,"id":959957,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Parsons, Kristene T.","contributorId":370210,"corporation":false,"usgs":false,"family":"Parsons","given":"Kristene","middleInitial":"T.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":959958,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Smith, Kylie M.","contributorId":370211,"corporation":false,"usgs":false,"family":"Smith","given":"Kylie","middleInitial":"M.","affiliations":[{"id":87998,"text":"I.CAR","active":true,"usgs":false}],"preferred":false,"id":959959,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Spadaro, Jason","contributorId":359407,"corporation":false,"usgs":false,"family":"Spadaro","given":"Jason","affiliations":[{"id":13147,"text":"Mote Marine Laboratory","active":true,"usgs":false}],"preferred":false,"id":959960,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Thomasson, Bailey C.","contributorId":370212,"corporation":false,"usgs":false,"family":"Thomasson","given":"Bailey","middleInitial":"C.","affiliations":[{"id":85673,"text":"Coral Restoration Foundation","active":true,"usgs":false}],"preferred":false,"id":959961,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Unsworth, Joseph D.","contributorId":370213,"corporation":false,"usgs":false,"family":"Unsworth","given":"Joseph","middleInitial":"D.","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":959962,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Vaughan, David","contributorId":370214,"corporation":false,"usgs":false,"family":"Vaughan","given":"David","affiliations":[{"id":87999,"text":"Plant A Million Corals","active":true,"usgs":false}],"preferred":false,"id":959963,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Miller, Margaret W.","contributorId":370215,"corporation":false,"usgs":false,"family":"Miller","given":"Margaret","middleInitial":"W.","affiliations":[{"id":48605,"text":"SECORE International","active":true,"usgs":false}],"preferred":false,"id":959964,"contributorType":{"id":1,"text":"Authors"},"rank":30}]}}
,{"id":70272146,"text":"fs20253052 - 2025 - Assessment of undiscovered oil and gas resources in the Santa Maria Basin Province, California, 2024","interactions":[],"lastModifiedDate":"2026-02-03T16:35:56.819465","indexId":"fs20253052","displayToPublicDate":"2025-11-21T11:55:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3052","displayTitle":"Assessment of Undiscovered Oil and Gas Resources in the Santa Maria Basin Province, California, 2024","title":"Assessment of undiscovered oil and gas resources in the Santa Maria Basin Province, California, 2024","docAbstract":"<p class=\"MsoNormal\">Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 67 million barrels of oil and 56 billion cubic feet of gas in the Santa Maria Basin Province of California.&nbsp;&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253052","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Tennyson, M.E., Mercier, T.J., Le, P.A., Cicero, A.D., Drake, R.M., II, Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., and Leathers-Miller, H.M., 2025, Assessment of undiscovered oil and gas resources in the Santa Maria Basin Province, California, 2024 (ver. 1.1, November 26, 2025): U.S. Geological Survey Fact Sheet 2025–3052, 4 p., https://doi.org/10.3133/fs20253052.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-171237","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":496780,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253052/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3052"},{"id":496885,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2025/3052/VersionHistory.txt","size":"4.0 KB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2025-3052 version history"},{"id":496778,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3052/images"},{"id":496543,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14QM36P","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Santa Maria Basin Province, California—Assessment unit boundaries, assessment input data, and fact sheet data tables"},{"id":496542,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3052/fs20253052.pdf","text":"Report","size":"5.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3052"},{"id":496541,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3052/coverthb2.jpg"},{"id":497796,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118988.htm"},{"id":496779,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3052/fs20253052.xml"}],"country":"United States","state":"California","otherGeospatial":"Santa Maria Basin Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121,\n              35.25\n            ],\n            [\n              -121,\n              34.4\n            ],\n            [\n              -119.5,\n              34.4\n            ],\n            [\n              -119.5,\n              35.25\n            ],\n            [\n              -121,\n              35.25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: November 21, 2025; Version 1.1: November 26, 2025","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\" data-mce-href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Total Petroleum System and Assessment Units</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishedDate":"2025-11-21","revisedDate":"2025-11-26","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":950222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":202544,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercier, Tracey J. 0000-0002-8232-525X","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":255366,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Le, Phuong A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":255367,"corporation":false,"usgs":true,"family":"Le","given":"Phuong A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cicero, Andrea D. 0000-0003-3632-304X","orcid":"https://orcid.org/0000-0003-3632-304X","contributorId":270005,"corporation":false,"usgs":true,"family":"Cicero","given":"Andrea","email":"","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drake II, Ronald M. 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":172671,"corporation":false,"usgs":true,"family":"Drake II","given":"Ronald","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950227,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gelman, Sarah E. 0000-0003-2549-9509","orcid":"https://orcid.org/0000-0003-2549-9509","contributorId":270004,"corporation":false,"usgs":true,"family":"Gelman","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950228,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hearon, Jane S. 0000-0002-1370-8169","orcid":"https://orcid.org/0000-0002-1370-8169","contributorId":270007,"corporation":false,"usgs":true,"family":"Hearon","given":"Jane","email":"","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950229,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Benjamin G. 0000-0002-9462-9322","orcid":"https://orcid.org/0000-0002-9462-9322","contributorId":270008,"corporation":false,"usgs":true,"family":"Johnson","given":"Benjamin","email":"","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950230,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lagesse, Jenny H. 0000-0002-3541-4751","orcid":"https://orcid.org/0000-0002-3541-4751","contributorId":248367,"corporation":false,"usgs":true,"family":"Lagesse","given":"Jenny","email":"","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950231,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":210000,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":950232,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70273280,"text":"70273280 - 2025 - Divergent responses of seed banks and aboveground vegetation to drought and deluge in grasslands across an elevational gradient","interactions":[],"lastModifiedDate":"2025-12-30T17:12:11.710464","indexId":"70273280","displayToPublicDate":"2025-11-21T11:09:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Divergent responses of seed banks and aboveground vegetation to drought and deluge in grasslands across an elevational gradient","docAbstract":"<p><span>Increased variability in precipitation associated with climate change creates extreme conditions of drought and deluge that can have profound effects on the abundance and composition of plant communities. Responses to these extremes likely vary across climatic gradients and depend on local plant community composition, which includes the emergent, aboveground vegetation as well as belowground seed banks. Because seed banks can both buffer the effects of environmental change and influence the future trajectories of communities, it is critical to understand seed bank responses to precipitation extremes in relation to the aboveground vegetation and how patterns vary across environmental gradients. Here we quantified the responses of aboveground and seed bank communities at five perennial grass-dominated sites across an elevational gradient to 6 years of extreme drought and deluge, by implementing experimental water exclusion and water addition treatments. Responses were stronger for drought than for deluge. Drought decreased abundance aboveground, while seed bank abundances were generally unaffected. Similarly, drought decreased richness and diversity of aboveground vegetation at intermediate elevations, without concurrent changes in seed banks. Surprisingly, the lowest and middle elevation sites showed stronger shifts in functional composition and dissimilarity in response to treatments, despite the expectation of greater buffering in seed banks in more arid environments. The relatively attenuated responses of seed bank communities to drought and deluge suggest potential for resistance and recovery, though species and functional composition may show greater responses to change particularly in more arid, lower elevation sites.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-025-05833-x","usgsCitation":"Gremer, J.R., Moore, M.M., Laughlin, D.C., and Munson, S.M., 2025, Divergent responses of seed banks and aboveground vegetation to drought and deluge in grasslands across an elevational gradient: Oecologia, v. 207, 195, 13 p., https://doi.org/10.1007/s00442-025-05833-x.","productDescription":"195, 13 p.","ipdsId":"IP-177518","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","city":"Flagstaff","volume":"207","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Gremer, Jennifer R.","contributorId":364660,"corporation":false,"usgs":false,"family":"Gremer","given":"Jennifer","middleInitial":"R.","affiliations":[{"id":86883,"text":"Dept of Evolution and Ecology, University of California, Davis, CA; Center for Population Biology, University of California, Davis, CA","active":true,"usgs":false}],"preferred":false,"id":953013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Margaret M.","contributorId":364661,"corporation":false,"usgs":false,"family":"Moore","given":"Margaret","middleInitial":"M.","affiliations":[{"id":39973,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":953014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laughlin, Daniel C.","contributorId":364662,"corporation":false,"usgs":false,"family":"Laughlin","given":"Daniel","middleInitial":"C.","affiliations":[{"id":86885,"text":"Department of Botany, University of Wyoming, Laramie, WY","active":true,"usgs":false}],"preferred":false,"id":953015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":953016,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272209,"text":"70272209 - 2025 - Simulation of the impacts of spring fiversions on streamflow in the Strawberry Creek watershed, San Bernardino County, California, using an integrated hydrological model","interactions":[],"lastModifiedDate":"2025-12-19T17:06:16.579717","indexId":"70272209","displayToPublicDate":"2025-11-21T11:02:59","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Simulation of the impacts of spring fiversions on streamflow in the Strawberry Creek watershed, San Bernardino County, California, using an integrated hydrological model","docAbstract":"<p><span>The Strawberry Creek watershed, situated in the San Bernardino Mountains of southern California, features a group of natural springs known as Arrowhead Springs that have been augmented with diversions in the form of sub-horizontal borings and tunnels. Understanding the impact of these structures on streamflow through groundwater capture is crucial for managing surface-water resources in this watershed. In this study we constructed the Strawberry Creek integrated hydrological model (SCIHM) to increase this understanding. The SCIHM is an integrated surface runoff and groundwater model that uses the coupled groundwater and surface-water flow model (GSFLOW), which is based on the integration of the precipitation-runoff modeling system (PRMS) and the modular groundwater flow model commonly called MODFLOW, version MODFLOW-2005 software to simulate surface runoff and infiltration and groundwater flow. The model has three layers, 263 rows, and 176 columns. The model area includes the Strawberry Creek and four adjacent watersheds. The PRMS model was calibrated using two streamflow gaging stations and the GSFLOW model was calibrated to reported spring diversion discharge and a sparse number of groundwater-level measurements. The SCIHM was run with and without diversions active and simulated streamflow was compared, finding that in the headwaters of Strawberry Creek about 35 percent of the diversion flow was captured from base flow.</span></p>","language":"English","publisher":"EartharXiv","doi":"10.31223/X5JB2K","usgsCitation":"Ryter, D.W., Hevesi, J.A., and Woolfenden, L.R., 2025, Simulation of the impacts of spring fiversions on streamflow in the Strawberry Creek watershed, San Bernardino County, California, using an integrated hydrological model: EarthArXiv, https://doi.org/10.31223/X5JB2K.","productDescription":"52 p.","ipdsId":"IP-181734","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":497778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ryter, Derek W. 0000-0002-2488-626X dryter@usgs.gov","orcid":"https://orcid.org/0000-0002-2488-626X","contributorId":3395,"corporation":false,"usgs":true,"family":"Ryter","given":"Derek","email":"dryter@usgs.gov","middleInitial":"W.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hevesi, Joseph A.","contributorId":362410,"corporation":false,"usgs":false,"family":"Hevesi","given":"Joseph","middleInitial":"A.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":950447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woolfenden, Linda R.","contributorId":362411,"corporation":false,"usgs":false,"family":"Woolfenden","given":"Linda","middleInitial":"R.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":950448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272698,"text":"70272698 - 2025 - Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system","interactions":[],"lastModifiedDate":"2025-12-04T15:30:13.079195","indexId":"70272698","displayToPublicDate":"2025-11-21T09:23:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system","docAbstract":"<p><span>he Hayward, Calaveras, and Rodgers Creek faults in the San Francisco Bay region of California have a high probability of producing a large earthquake in the next decades. Although these faults creep, the creep is insufficient to keep up with their relatively rapid slip rates on their deepest sections, so they have been storing tectonic strain since their last large earthquakes, with the Hayward’s and Rodgers Creek’s more than 150&nbsp;yr ago. We do not know what the next large Hayward–Calaveras–Rodgers Creek earthquakes will look like or how strongly they will shake the San Francisco Bay region.&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf18\">Harris<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2021)</a><span>&nbsp;used the 3D dynamic (spontaneous) rupture method to simulate large earthquakes on these creeping faults. In this article, we examine the resulting simulated long‐period (</span><i>T</i><span>&nbsp;&gt; 1&nbsp;s) ground shaking from 0 to 50&nbsp;km distance, for earthquakes nucleating on the Hayward fault and earthquakes nucleating on the Rodgers Creek fault. We compare these simulated long‐period ground motions with the&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf8\">Boore<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2014)</a><span>&nbsp;well‐established empirically based ground‐motion model suitable for the slowest material velocity in our 3D velocity structure. We find that the simulated long‐period ground motions from the creeping‐fault earthquake scenarios produce a reasonable agreement with the empirical expectations if frictional cohesion is included only where it is appropriate.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250194","usgsCitation":"Harris, R.A., Barall, M., Parker, G.A., and Hirakawa, E.T., 2025, Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system: Seismological Research Letters, https://doi.org/10.1785/0220250194.","ipdsId":"IP-170265","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":497108,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250194","text":"Publisher Index Page"},{"id":497053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Hayward, Calaveras, and Rodgers Creek faults, San Francisco Bay region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124,\n              39\n            ],\n            [\n              -124,\n              36\n            ],\n            [\n              -120,\n              36\n            ],\n            [\n              -120,\n              39\n            ],\n            [\n              -124,\n              39\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hirakawa, Evan Tyler 0000-0002-5720-0850","orcid":"https://orcid.org/0000-0002-5720-0850","contributorId":295776,"corporation":false,"usgs":true,"family":"Hirakawa","given":"Evan","email":"","middleInitial":"Tyler","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951361,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274557,"text":"70274557 - 2025 - Wetter winters, drier summers: Quantifying the change in hydrological response around the Puget Sound area using the wflow_sbm hydrological model and CMIP6 projections","interactions":[],"lastModifiedDate":"2026-03-31T13:53:52.426422","indexId":"70274557","displayToPublicDate":"2025-11-21T08:40:53","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Wetter winters, drier summers: Quantifying the change in hydrological response around the Puget Sound area using the wflow_sbm hydrological model and CMIP6 projections","docAbstract":"<p><span>Climate change is expected to impact hydrological regimes worldwide, including the Pacific Northwest of the United States. This study investigates how climate change will affect river discharge in the Puget Sound region of the State of Washington, with a focus on King and Pierce Counties. We simulated river discharge under historical and future conditions using</span><br><span>the physically based, spatially distributed wflow_sbm hydrological model, which was calibrated and validated against U.S. Geological Survey discharge records. Future forcing was based on an ensemble of six high-resolution CMIP6 climate models, which were bias corrected using empirical quantile mapping. The results indicate a decrease in summer discharges (5–10%) and an increase in winter discharges (5–10%) across the study region. The high discharges (90th percentile) are projected to increase in winter, and the low discharges are projected to decrease in summer, due to shifts in precipitation regimes, snowpack hydrology, and evapotranspiration. However, variability between individual CMIP6 models often exceeds the magnitude of ensemble mean changes, underscoring substantial uncertainty in climate projections and the importance of including multiple climate models in climate change analysis. Furthermore, model consensus increased with elevation, which could be the result of the higher elevation areas being driven by less diverse hydrological processes. These findings highlight potential challenges for regional water management, ecosystem health, and flood risk mitigation in the Puget Sound region under future climate conditions.</span></p>","language":"English","publisher":"EarthArXiv","doi":"10.31223/X58R0G","usgsCitation":"Buitink, J., Dalmijn, B., Parker, K.A., Nederhoff, C.M., and Grossman, E.E., 2025, Wetter winters, drier summers: Quantifying the change in hydrological response around the Puget Sound area using the wflow_sbm hydrological model and CMIP6 projections: EarthArXiv, https://doi.org/10.31223/X58R0G.","productDescription":"33 p.","ipdsId":"IP-183777","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":501855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buitink, Joost 0000-0002-5156-0329","orcid":"https://orcid.org/0000-0002-5156-0329","contributorId":369023,"corporation":false,"usgs":false,"family":"Buitink","given":"Joost","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":958298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalmijn, Brendan","contributorId":369024,"corporation":false,"usgs":false,"family":"Dalmijn","given":"Brendan","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":958299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Kai Alexander 0000-0002-0268-3891","orcid":"https://orcid.org/0000-0002-0268-3891","contributorId":292869,"corporation":false,"usgs":true,"family":"Parker","given":"Kai","email":"","middleInitial":"Alexander","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":958300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nederhoff, Cornelis M. 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":265889,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Cornelis","email":"","middleInitial":"M.","affiliations":[{"id":33886,"text":"Deltares USA","active":true,"usgs":false}],"preferred":true,"id":958301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":958302,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274007,"text":"70274007 - 2025 - Observations of tear-drinking by lepidopterans on moose (<i>Alces alces americana</i>) in northeastern North America","interactions":[],"lastModifiedDate":"2026-02-20T22:15:06.076976","indexId":"70274007","displayToPublicDate":"2025-11-20T15:08:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Observations of tear-drinking by lepidopterans on moose (<i>Alces alces americana</i>) in northeastern North America","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><i>Lepidoptera</i><span>&nbsp;have long been known to feed on the tears of vertebrates as a presumed source of minerals or nutrients. While this unusual behavior has been observed in a variety of species, only a single previous record has been documented outside of the tropics. Here, we present the first documentation of moths visiting the eyes of a bull moose (</span><i>Alces americanus americanus</i><span>), captured via trail camera in Green Mountain National Forest, Vermont, United States. We discuss the biogeography of this behavior, how it may differ between tropical and temperate climates, and its potential impact on moose health.</span></span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70422","usgsCitation":"Clarfeld, L.A., Gieder, K.D., Donovan, T.M., 2025, Observations of tear-drinking by lepidopterans on moose (<i>Alces alces americana</i>) in northeastern North America: Ecosphere, v. 16, no. 11, e70422, 5 p., https://doi.org/10.1002/ecs2.70422.","productDescription":"e70422, 5 p.","ipdsId":"IP-178676","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500583,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70422","text":"Publisher Index Page"},{"id":500379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Green Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.01538730171357,\n              44.68744433112053\n            ],\n            [\n              -73.01538730171357,\n              43.41791271615742\n            ],\n            [\n              -72.60965552163997,\n              43.41791271615742\n            ],\n            [\n              -72.60965552163997,\n              44.68744433112053\n            ],\n            [\n              -73.01538730171357,\n              44.68744433112053\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Clarfeld, Laurence A.","contributorId":366633,"corporation":false,"usgs":false,"family":"Clarfeld","given":"Laurence","middleInitial":"A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":956108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gieder, Katherina D.","contributorId":366634,"corporation":false,"usgs":false,"family":"Gieder","given":"Katherina","middleInitial":"D.","affiliations":[{"id":39587,"text":"Vermont Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":956109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":956110,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272457,"text":"70272457 - 2025 - Modeling the influence of upper and lower shoreface dynamics on barrier island evolution","interactions":[],"lastModifiedDate":"2025-11-21T18:40:17.973359","indexId":"70272457","displayToPublicDate":"2025-11-20T12:37:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the influence of upper and lower shoreface dynamics on barrier island evolution","docAbstract":"<p><span>Barrier island resilience to climate impacts depends on sediment redistribution between the subaqueous shoreface and subaerial barrier during sea-level rise and storms. However, autogenic interactions between the upper and lower shoreface and their influence on the subaerial barrier are poorly characterized. Here, we explore the influences of various shoreface components on barrier morphology using a model of barrier and shoreface evolution under sea-level rise, the Articulated Barrier Shoreface (ABSF) Model. This reduced-complexity model divides the shoreface into upper and lower shoreface panels that respond independently to sea-level rise and deviations from the equilibrium slope. We couple the ABSF with the Lorenzo-Trueba &amp; Ashton, 2014,&nbsp;</span><a class=\"linkBehavior\" href=\"https://doi.org/10.1002/2013jf002941\" data-mce-href=\"https://doi.org/10.1002/2013jf002941\">https://doi.org/10.1002/2013jf002941</a><span>&nbsp;model (LTA), a barrier island evolution model driven by overwash and sea-level rise. Through this coupled framework, we examine the influences of upper and lower shoreface slopes, their respective depths, and sensitivity to wave climate on long-term barrier evolution. Results show that the relative depths of the upper and lower shoreface toes influence barrier response to rising seas, alongside overwash flux and closure depth. Notably, the lower shoreface response to sea-level change lags that of the upper shoreface over decades, diminishing the resilience of the barrier over centennial timescales by slowing the overall barrier response. In fact, the ABSF model predicts barriers will drown faster and more than predicted with a linear shoreface. Results highlight the shoreface as an important sediment reservoir for barrier islands and that differences in upper and lower shoreface responses can reduce barrier resilience to sea-level rise due to limited lower shoreface sediment accessibility.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JF008391","usgsCitation":"Palermo, R.E., Miselis, J.L., Ciarletta, D.J., and Wei, E., 2025, Modeling the influence of upper and lower shoreface dynamics on barrier island evolution: JGR Earth Surface, v. 130, no. 11, e2025JF008391, 22 p., https://doi.org/10.1029/2025JF008391.","productDescription":"e2025JF008391, 22 p.","ipdsId":"IP-176281","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":496926,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jf008391","text":"Publisher Index Page"},{"id":496791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Palermo, Rose Elizabeth 0000-0002-7438-361X","orcid":"https://orcid.org/0000-0002-7438-361X","contributorId":300046,"corporation":false,"usgs":true,"family":"Palermo","given":"Rose","email":"","middleInitial":"Elizabeth","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":950826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":950827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ciarletta, Daniel J. 0000-0002-8555-2239","orcid":"https://orcid.org/0000-0002-8555-2239","contributorId":256700,"corporation":false,"usgs":true,"family":"Ciarletta","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":950828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wei, Emily A","contributorId":290630,"corporation":false,"usgs":false,"family":"Wei","given":"Emily A","affiliations":[{"id":62462,"text":"University of California San Diego, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":950829,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272190,"text":"pp1890I - 2025 - Spatio-temporal evolution of distributed volcanic fields, case studies—Sierra Chichinautzin and Michoacán-Guanajuato, México","interactions":[{"subject":{"id":70272190,"text":"pp1890I - 2025 - Spatio-temporal evolution of distributed volcanic fields, case studies—Sierra Chichinautzin and Michoacán-Guanajuato, México","indexId":"pp1890I","publicationYear":"2025","noYear":false,"chapter":"I","displayTitle":"Spatio-Temporal Evolution of Distributed Volcanic Fields, Case Studies—Sierra Chichinautzin and Michoacán-Guanajuato, México","title":"Spatio-temporal evolution of distributed volcanic fields, case studies—Sierra Chichinautzin and Michoacán-Guanajuato, México"},"predicate":"IS_PART_OF","object":{"id":70259456,"text":"pp1890 - 2024 - Distributed volcanism—Characteristics, processes, and hazards","indexId":"pp1890","publicationYear":"2024","noYear":false,"title":"Distributed volcanism—Characteristics, processes, and hazards"},"id":1}],"isPartOf":{"id":70259456,"text":"pp1890 - 2024 - Distributed volcanism—Characteristics, processes, and hazards","indexId":"pp1890","publicationYear":"2024","noYear":false,"title":"Distributed volcanism—Characteristics, processes, and hazards"},"lastModifiedDate":"2026-02-03T16:35:11.775005","indexId":"pp1890I","displayToPublicDate":"2025-11-20T11:30:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1890","chapter":"I","displayTitle":"Spatio-Temporal Evolution of Distributed Volcanic Fields, Case Studies—Sierra Chichinautzin and Michoacán-Guanajuato, México","title":"Spatio-temporal evolution of distributed volcanic fields, case studies—Sierra Chichinautzin and Michoacán-Guanajuato, México","docAbstract":"<p>An analysis of 1,375 volcanoes in the Michoacán-Guanajuato (1,148 volcanoes in a 26,200 square-kilometer area) and Sierra Chichinautzin (227 volcanoes in a 3,500 square-kilometer area) volcanic fields in central Mexico identified patterns in the spatial and temporal distribution of past eruptions. A cluster agglomerative hierarchical method and kernel analysis confirmed that the Michoacán-Guanajuato volcanic field comprises four volcanic fields (Valle de Santiago, Uruapan, Apatzingán, and Pátzcuaro volcanic fields) controlled by different fault systems, indicating that it is not a single volcanic field but rather a group of volcanic fields (a “superfield”), each of which has distinct characteristics.</p><p>In the Sierra Chichinautzin volcanic field, well-constrained isotopic ages were used to build a model of how the spatial distribution of the eruptions has changed over time. Two new 40Ar/39Ar ages from a locally recognized volcanic feature near the town of El Cantil, herein called El Cantil volcano (1,537±17 kilo-annum [ka]) and the volcanic feature at Cerro el Elefante (herein called El Elefante dome) (1,485±92 ka) belong to the oldest volcanic group identified in the Sierra Chichinautzin volcanic field, confirming the timing of the beginning of monogenetic volcanism in the region. Based on the volcanic groups identified in the Sierra Chichinautzin volcanic field, the youngest volcanism (less than 35 ka) is found only in the central-western sector of the field. Principal component analysis determined the directional trends of feeder dikes only for vents &lt;10 ka in the Sierra Chichinautzin volcanic field. Possible magma migration paths through the crust were identified using seismic data from both volcanic fields using an earthquake catalog from 1973 to 2023, which includes 9,016 earthquakes in the Michoacán-Guanajuato volcanic field and 841 in the Sierra Chichinautzin volcanic field. The spatial distribution of the hypocenters does not highlight any trend that could be associated with superficial movement of magma in the Sierra Chichinautzin volcanic field. In the Michoacán-Guanajuato volcanic field, however, eight seismic swarms since 1997 have been detected. These swarms are interpreted to result from ascending magma. Strengthening monitoring systems and reinforcing mitigation measures to address volcanic hazards and risk are important means of preparing for future eruptions in both regions. Analysis such as those herein provide insights as to where an eruption might occur and may help mitigate volcanic hazards.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1890I","usgsCitation":"Jaimes-Viera, C., Nieto-Torres, A., Martin Del Pozzo, A.L., Germa, A., Connor, C., Ort, M., Layer, P., and Benowitz, J., 2025, Spatio-Temporal Evolution of Distributed Volcanic Fields, Case Studies—Sierra Chichinautzin and Michoacán-Guanajuato, México, chap. I <i>of</i> Poland, M.P., Ort, M.H., Stovall, W.K., Vaughan, G.R., Conner, C.B., and Rumpf, M.E., eds., Distributed volcanism—Characteristics, processes, and hazards: U.S. Geological Survey Professional Paper 1890, 28 p., https://doi.org/10.3133/pp1890I.","productDescription":"Report: v, 28 p.; 3 Tables","onlineOnly":"Y","ipdsId":"IP-157952","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496700,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1890/i/pp1890I.XML"},{"id":496699,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1890/i/images"},{"id":496625,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1890/i/coverthb.jpg"},{"id":496626,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1890/i/pp1890I.pdf","text":"Report","size":"7.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1890-I"},{"id":496629,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/pp/1890/i/PP1890I_supptable1A.csv","text":"Table 1A","size":"12.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"Professional Paper 1890-I, Table 1A","linkHelpText":"Radiometric (14C and 40Ar/39Ar) ages from volcanoes from Sierra Chichinautzin volcanic field"},{"id":496632,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/pp/1890/i/PP1890I_supptable1B.csv","text":"Table 1B","size":"12.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"Professional Paper 1890-I, Table 1B","linkHelpText":"Estimated and calibrated ages from the volcanoes from Sierra Chichinautzin volcanic field"},{"id":496633,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/pp/1890/i/PP1890I_supptable2.csv","text":"Table 2","size":"80.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"Professional Paper 1890-I, Table 2","linkHelpText":"Location, h/wb ratio and age of main cones in Michoacán-Guanajuato and Sierra Chichinautzin volcanic fields"},{"id":497260,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/pp1890I/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Professional Paper 1890-I"}],"country":"Mexico","otherGeospatial":"Michoacán-Guanajuato, Sierra Chichinautzin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99.667,\n              19.333\n            ],\n            [\n              -99.667,\n              18.833\n            ],\n            [\n              -98.5,\n              18.833\n            ],\n            [\n              -98.5,\n              19.333\n            ],\n            [\n              -99.667,\n              19.333\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104,\n              20.6\n            ],\n            [\n              -104,\n              19\n            ],\n            [\n              -100,\n              19\n            ],\n            [\n              -100,\n              20.6\n            ],\n            [\n              -104,\n              20.6\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/volcano-science-center\" data-mce-href=\"https://www.usgs.gov/centers/volcano-science-center\">Volcano Science Center</a><br>U.S. Geological Survey<br>1300 SE Cardinal Court Bldg. 10<br>Vancouver, WA 98683</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geological Setting and Study Area </li><li>Methodology</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2025-11-20","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Jaimes-Viera, Carmen","contributorId":362361,"corporation":false,"usgs":false,"family":"Jaimes-Viera","given":"Carmen","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":950373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nieto-Torres, Amiel","contributorId":362362,"corporation":false,"usgs":false,"family":"Nieto-Torres","given":"Amiel","affiliations":[{"id":86513,"text":"Millennium Institute on Volcanic Risk Research","active":true,"usgs":false}],"preferred":false,"id":950374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lillian Martin Del Pozzo, Ana","contributorId":362363,"corporation":false,"usgs":false,"family":"Lillian Martin Del Pozzo","given":"Ana","affiliations":[{"id":37714,"text":"Instituto de Geofísica, Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":950375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Germa, Aurelie","contributorId":243359,"corporation":false,"usgs":false,"family":"Germa","given":"Aurelie","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":950737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connor, Chuck","contributorId":139921,"corporation":false,"usgs":false,"family":"Connor","given":"Chuck","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":950377,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ort, Michael H.","contributorId":156308,"corporation":false,"usgs":false,"family":"Ort","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":true,"id":950738,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Layer, Paul","contributorId":194067,"corporation":false,"usgs":false,"family":"Layer","given":"Paul","affiliations":[],"preferred":false,"id":950379,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Benowitz, Jeff","contributorId":269436,"corporation":false,"usgs":false,"family":"Benowitz","given":"Jeff","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":950380,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
]}