{"pageNumber":"4","pageRowStart":"75","pageSize":"25","recordCount":41014,"records":[{"id":70275370,"text":"70275370 - 2026 - Evaluating approximations of river channel shape using a national cross section database","interactions":[],"lastModifiedDate":"2026-05-01T14:00:47.462328","indexId":"70275370","displayToPublicDate":"2026-04-30T08:57:32","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating approximations of river channel shape using a national cross section database","docAbstract":"<p><span>Many hydrologic applications require basic information on the size and shape of river channels, but measuring cross section (XS) geometry in the field or via remote sensing can be costly and often provides only partial coverage. Given these challenges, we capitalized upon an existing data set of 46,971 XS from gaging stations to evaluate various approximations of channel shape. After screening and pre-processing these data, we fit four model types to each XS, including a new approach that involves Stacking PDFs (probability density functions) to Approximate River Channel Shapes (SPARCS). This framework produced depth estimates that closely matched field measurements, with typical cross-sectional area errors &lt;1</span><span>% and a median <i>R</i><sup>2</sup></span><span>&nbsp;of 0.77 for comparison of observed and predicted depths. SPARCS model parameters can be interpreted in terms of channel characteristics: mean depth, asymmetry, bar convexity, and flatness of the bed. The model performed well for the XS included in the database, which was biased toward straight, uniform channels conducive to operational streamflow measurement. Neither model parameters nor accuracy were dependent on discharge. We also assessed the potential of SPARCS to fill in measurement gaps and found that although the model can help, the accuracy of inferred depths decreased as the observable fraction of the channel decreased. An important limitation of SPARCS is that mid-channel bars or multi-threaded morphologies cannot be produced. Graphical tools can help visualize how model parameters affect simulated river forms. SPARCS could facilitate satellite-based discharge estimation by providing prior information on channel shape.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR041177","usgsCitation":"Legleiter, C.J., and Kinzel, P.J., 2026, Evaluating approximations of river channel shape using a national cross section database: Water Resources Research, v. 62, no. 5, e2025WR041177, 35 p., https://doi.org/10.1029/2025WR041177.","productDescription":"e2025WR041177, 35 p.","ipdsId":"IP-179311","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":504157,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr041177","text":"Publisher Index Page"},{"id":503881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":960758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":960759,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70276517,"text":"70276517 - 2026 - Amphibian use of recently created wetlands in the Palouse region of northern Idaho, USA","interactions":[],"lastModifiedDate":"2026-06-10T15:37:35.231825","indexId":"70276517","displayToPublicDate":"2026-04-30T08:18:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Amphibian use of recently created wetlands in the Palouse region of northern Idaho, USA","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\">Human development has resulted in the loss of natural wetlands in many regions and thus has led to amphibian habitat loss. &nbsp;Human-constructed wetlands are increasingly prevalent, particularly in human-modified landscapes, and can be used as breeding habitats by amphibians. &nbsp;It is important to identify factors influencing amphibian use of constructed wetlands to guide future wetland creation efforts. &nbsp;We examined wetland- and landscape-level factors influencing the presence and reproduction of native amphibians in 33 recently created (2–11 yold) wetlands within an urban-agricultural interface in northern Idaho, USA. &nbsp;We recorded wetland age, perimeter vegetation, and percentage of surrounding land cover as covariates and modeled detection and occupancy using Bayesian Multi-scale Occupancy Models for the three species we detected: Sierran Treefrog (<i>Pseudacris sierra</i>), Colombia Spotted Frog (<i>Rana luteiventris</i>), and Long-Toed Salamander (<i>Ambystoma macrodactylum</i>). &nbsp;Our results indicate that these three species can rapidly colonize recently created wetlands in an urban-agricultural interface. &nbsp;The effects of wetland- and landscape-scale features varied across species. &nbsp;Colombia Spotted Frog occupancy was greatest in older wetlands with some evidence for a negative association with more urbanized landscapes. &nbsp;Long Toed Salamanders and Sierran Treefrogs were not associated with wetland age but also showed some evidence of negative associations with urbanization. &nbsp;Long-Toed Salamanders showed evidence of using less vegetated wetlands while Sierran Treefrogs showed evidence of using more vegetated wetlands. &nbsp;Our results are consistent with multiple studies showing that wetlands in human-modified landscapes can provide amphibian breeding habitat, and they suggest that including vegetation plantings within recently created wetlands may promote amphibian colonization. &nbsp;Anecdotal observations also indicate that designing wetlands with sufficient hydroperiod for metamorphoses may be important for ensuring that newly created wetlands benefit amphibian populations.</span></p>","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Grinder, R.M., Peterson, C.R., Garton, E.O., and Bauder, J.M., 2026, Amphibian use of recently created wetlands in the Palouse region of northern Idaho, USA: Herpetological Conservation and Biology, v. 21, no. 1, p. 85-100.","productDescription":"16 p.","startPage":"85","endPage":"100","ipdsId":"IP-149800","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":505272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Palouse region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.0333635,\n              47.0733056\n            ],\n            [\n              -116.88138315406218,\n              47.0733056\n            ],\n            [\n              -116.88138315406218,\n              46.48406729271977\n            ],\n            [\n              -117.0333635,\n              46.48406729271977\n            ],\n            [\n              -117.0333635,\n              47.0733056\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grinder, Rolllie M.","contributorId":371897,"corporation":false,"usgs":false,"family":"Grinder","given":"Rolllie","middleInitial":"M.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":962561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Charles R.","contributorId":371898,"corporation":false,"usgs":false,"family":"Peterson","given":"Charles","middleInitial":"R.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":962562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garton, Edward O.","contributorId":371899,"corporation":false,"usgs":false,"family":"Garton","given":"Edward","middleInitial":"O.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":962563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":962564,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70275365,"text":"70275365 - 2026 - Socio-ecological impacts of the 2025 Los Angeles urban fires on communities, neighborhoods, and homes","interactions":[],"lastModifiedDate":"2026-05-01T14:59:05.281901","indexId":"70275365","displayToPublicDate":"2026-04-30T07:52:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Socio-ecological impacts of the 2025 Los Angeles urban fires on communities, neighborhoods, and homes","docAbstract":"<p><span>Human settlements are increasingly being impacted by urban fires initiated by wildfires. Metrics such as area burned and number of structures destroyed are important, but research often overlooks the socio-ecological complexity of urban fires. We study the impacts of the 2025 Los Angeles fires on two communities at the neighborhood and residential parcel scales. Geospatial analyses and econometric modeling explore the relationships between urban morphology, socio-demographic factors, and home destruction. Here we show that socio-ecological characteristics and scale are key in parsing the dynamics of urban fires. Also, new socio-demographic populations are being affected and urban morphology metrics are more important than vegetation cover. Despite parallels with 19</span><sup>th</sup><span>&nbsp;and early 20</span><sup>th</sup><span>&nbsp;century urban conflagrations, understanding these re-emerging urban fires requires transdisciplinary approaches and unique metrics. Investigating the socio-ecological scales and dynamics of urban fires provides a valuable next step towards understanding and adapting to the risk associated with these disasters.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41467-026-71376-1","usgsCitation":"Norlen, C.A., Sharma, S., and Escobedo, F.J., 2026, Socio-ecological impacts of the 2025 Los Angeles urban fires on communities, neighborhoods, and homes: Nature Communications, v. 17, 3941, 12 p., https://doi.org/10.1038/s41467-026-71376-1.","productDescription":"3941, 12 p.","ipdsId":"IP-180700","costCenters":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"links":[{"id":504163,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-026-71376-1","text":"Publisher Index Page"},{"id":503888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","otherGeospatial":"Eaton, Palisades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.43544529821688,\n              34.248989931303086\n            ],\n            [\n              -118.43544529821688,\n              33.55012105378101\n            ],\n            [\n              -117.27431517058712,\n              33.55012105378101\n            ],\n            [\n              -117.27431517058712,\n              34.248989931303086\n            ],\n            [\n              -118.43544529821688,\n              34.248989931303086\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Norlen, Carl August 0000-0003-1363-9930","orcid":"https://orcid.org/0000-0003-1363-9930","contributorId":370758,"corporation":false,"usgs":true,"family":"Norlen","given":"Carl","middleInitial":"August","affiliations":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":960735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharma, Sadikshya","contributorId":370759,"corporation":false,"usgs":false,"family":"Sharma","given":"Sadikshya","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":960736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Escobedo, Francisco J.","contributorId":370760,"corporation":false,"usgs":false,"family":"Escobedo","given":"Francisco","middleInitial":"J.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":960737,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70276528,"text":"70276528 - 2026 - Habitat and landscape variables affecting Corbicula fluminea presence in the upper Savannah River drainage (USA)","interactions":[],"lastModifiedDate":"2026-06-10T13:57:10.114552","indexId":"70276528","displayToPublicDate":"2026-04-30T07:50:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Habitat and landscape variables affecting <i>Corbicula fluminea</i> presence in the upper Savannah River drainage (USA)","title":"Habitat and landscape variables affecting Corbicula fluminea presence in the upper Savannah River drainage (USA)","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Aquatic invasive species (</span><abbr title=\"Aquatic invasive species\">AIS</abbr><span>) are amongst the greatest threats to native aquatic biodiversity. These introduced species often thrive in human-altered environments and spread through human-mediated pathways to invade new watersheds.&nbsp;</span><i><span><span class=\"tn\" data-obkms-id=\"A16DA7FF-D7FB-4AD3-835F-99B93BA82C75\" data-taxon-parsed-name=\"Corbicula fluminea\"><span class=\"genus\">Corbicula</span>&nbsp;<span class=\"species\">fluminea</span></span></span></i><span>&nbsp;is a freshwater bivalve native to southeastern Asia first introduced in North America in Seattle, WA, in 1938 and has spread to nearly every major watershed in the southeastern United States. In the present study, we use an information theoretic framework to compare landscape and stream habitat variables associated with&nbsp;</span><i><span><span class=\"tn\" data-obkms-id=\"813E4410-4458-4B8D-819C-7AD762E93B4A\" data-taxon-parsed-name=\"Corbicula fluminea\"><span class=\"genus\">C.</span>&nbsp;<span class=\"species\">fluminea</span></span></span></i><span>&nbsp;presence across five&nbsp;</span><abbr title=\"Hydrologic Unit Code 10\">HUC10</abbr><span>&nbsp;watersheds in the upper Savannah River basin of South Carolina and Georgia, USA. Predictive models included landscape-level and site-level habitat variables associated with agricultural, developed, and forested landscapes. Models with variables associated with forested and developed landscapes were the top performing models based on&nbsp;</span><abbr title=\"Akaike’s Information Criterion\">AICc</abbr><span>&nbsp;values. In top performing models&nbsp;</span><i><span><span class=\"tn\" data-obkms-id=\"45DDD45E-6964-4020-898E-561169E8262A\" data-taxon-parsed-name=\"Corbicula fluminea\"><span class=\"genus\">C.</span>&nbsp;<span class=\"species\">fluminea</span></span></span></i><span>&nbsp;presence was positively correlated with increased stream width, but negatively correlated with substrates dominated by cobble. Lower performing models highlight positive correlations with the presence of upstream reservoirs and increased developed landscape surrounding the site. Identification of habitat and landscape correlates with invasive species presence may lead to more efficient introduction monitoring efforts for conservation managers.</span></span></p>","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/ai.2026.21.2.189571","usgsCitation":"Schumber, Z.M., Baker, M.A., Irwin, B., Hamel, M.J., and Hazelton, P.D., 2026, Habitat and landscape variables affecting Corbicula fluminea presence in the upper Savannah River drainage (USA): Aquatic Invasions, v. 21, no. 2, p. 111-126, https://doi.org/10.3391/ai.2026.21.2.189571.","productDescription":"16 p.","startPage":"111","endPage":"126","ipdsId":"IP-176978","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":505492,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/ai.2026.21.2.189571","text":"Publisher Index Page"},{"id":505231,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","otherGeospatial":"upper Savannah River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.92148068402683,\n              35.4052177436574\n            ],\n            [\n              -82.53167062328764,\n              35.32859575622739\n            ],\n            [\n              -82.66075283407501,\n              34.143783816142786\n            ],\n            [\n              -84.02919228413968,\n              34.222239597486976\n            ],\n            [\n              -83.92148068402683,\n              35.4052177436574\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schumber, Zachary M.","contributorId":371930,"corporation":false,"usgs":false,"family":"Schumber","given":"Zachary","middleInitial":"M.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":962588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Michael A.","contributorId":371931,"corporation":false,"usgs":false,"family":"Baker","given":"Michael","middleInitial":"A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":962589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":280043,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":962590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamel, Martin J.","contributorId":371939,"corporation":false,"usgs":false,"family":"Hamel","given":"Martin","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":962591,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hazelton, Peter D.","contributorId":371940,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter","middleInitial":"D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":962592,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70275646,"text":"70275646 - 2026 - A hierarchical approach for finding undiscovered populations of an endangered bumble bee","interactions":[],"lastModifiedDate":"2026-05-07T15:00:45.263621","indexId":"70275646","displayToPublicDate":"2026-04-29T09:51:33","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical approach for finding undiscovered populations of an endangered bumble bee","docAbstract":"<p><span>Understanding the distributions of rare species is necessary to guide monitoring and inform species recovery efforts. The rusty patched bumble bee (RPBB;&nbsp;</span><i>Bombus affinis,</i><span>&nbsp;Cresson) is an endangered species with an extant, known distribution centered around urban areas of the Midwestern United States. We tested a novel approach for finding undocumented RPBBs outside of urban centers and estimated the species occurrence at two scales that are relevant to management. We confirmed presence of RPBBs at 54% of the sampled 100 km</span><sup>2</sup><span>&nbsp;grid cells where the species was previously undocumented, expanding the species’ known distribution by 5700 km</span><sup>2</sup><span>. After accounting for imperfect detection, our occupancy model estimated the number of occupied grid cells was 67 of 105 sampled grids, suggesting our methods were effective for finding undiscovered RPBB sites. Occupancy within 100&nbsp;km</span><sup>2</sup><span>&nbsp;grids was positively related to the number of occupied neighboring units but was not related to the area of developed land within 100km</span><sup>2</sup><span>&nbsp;grid cells or smaller subunits (i.e. 3.14&nbsp;ha patches or roadside transects). We highlight the utility of our approach for guiding future survey efforts by identifying an additional 145 grid cells where the occupancy status of RPBB is unknown but we predict a relatively high likelihood of RPBB occurrence. Our approach can be extended to find undiscovered RPBB sites in other areas and applied to other bee species where occurrence information is lacking outside of their core distribution.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-026-46861-8","usgsCitation":"Otto, C., Schrage, A.C., Lothspeich, A., Bailey, L., Smith, T., Planman, R., Cardin, J., Ellis, K.S., Dennis, B., and Grundel, R., 2026, A hierarchical approach for finding undiscovered populations of an endangered bumble bee: Scientific Reports, v. 16, 13759, 12 p., https://doi.org/10.1038/s41598-026-46861-8.","productDescription":"13759, 12 p.","ipdsId":"IP-181147","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":504215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-026-46861-8","text":"Publisher Index Page"},{"id":504089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa. Minnesota, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.08828853395633,\n              46.763583773695586\n            ],\n            [\n              -87.05663513249607,\n              46.763583773695586\n            ],\n            [\n              -87.05663513249607,\n              41.46394878090919\n            ],\n            [\n              -95.08828853395633,\n              41.46394878090919\n            ],\n            [\n              -95.08828853395633,\n              46.763583773695586\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2026-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schrage, Alma Christa 0000-0002-7388-6979","orcid":"https://orcid.org/0000-0002-7388-6979","contributorId":363227,"corporation":false,"usgs":true,"family":"Schrage","given":"Alma","middleInitial":"Christa","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lothspeich, Audrey Claire 0000-0002-5460-6142","orcid":"https://orcid.org/0000-0002-5460-6142","contributorId":355935,"corporation":false,"usgs":true,"family":"Lothspeich","given":"Audrey Claire","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Larissa L.","contributorId":337882,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":961300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Tamara","contributorId":351890,"corporation":false,"usgs":false,"family":"Smith","given":"Tamara","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":961301,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Planman, Robert","contributorId":371218,"corporation":false,"usgs":false,"family":"Planman","given":"Robert","affiliations":[{"id":88106,"text":"WI Bee3","active":true,"usgs":false}],"preferred":false,"id":961302,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cardin, Judy","contributorId":371244,"corporation":false,"usgs":false,"family":"Cardin","given":"Judy","affiliations":[],"preferred":false,"id":961351,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ellis, Kristen S. 0000-0003-2759-3670","orcid":"https://orcid.org/0000-0003-2759-3670","contributorId":251877,"corporation":false,"usgs":true,"family":"Ellis","given":"Kristen","email":"","middleInitial":"S.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961303,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dennis, Bethany","contributorId":371245,"corporation":false,"usgs":false,"family":"Dennis","given":"Bethany","affiliations":[],"preferred":false,"id":961352,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961304,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70275353,"text":"70275353 - 2026 - Springtime formation of laminated soil carbonate rinds and changes in fluvial terrace soils on orbital timescales at Rio Mesa, Utah, USA","interactions":[],"lastModifiedDate":"2026-05-01T13:21:06.95607","indexId":"70275353","displayToPublicDate":"2026-04-29T09:31:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Springtime formation of laminated soil carbonate rinds and changes in fluvial terrace soils on orbital timescales at Rio Mesa, Utah, USA","docAbstract":"<p><span>Laminated soil carbonate rinds are a Quaternary paleoclimate archive whose isotope composition is linked to soil formation conditions. At Rio Mesa, Utah (USA), we investigated the fidelity of rind records in a river terrace setting by determining the seasonal timing of rind formation and testing for inter-record replication. We infer soil carbonate formed in the spring season, contrasting with our prior inference of summer formation at Teasdale, Utah, ≈200&nbsp;km distant. This apparent discrepancy occurs because of differences in the timing of the largest annual infiltration (spring vs. summer). At Rio Mesa, modern soil data show that soil carbonate δ</span><sup>13</sup><span>C would have high values (−2 to 2‰ VPDB) regardless of seasonal activity of C</span><sub>3</sub><span>&nbsp;versus C</span><sub>4</sub><span>&nbsp;plants because respiration rate is a strong control. We accordingly suggest reassessment of published records interpreting soil carbonate δ</span><sup>13</sup><span>C only via C</span><sub>3</sub><span>&nbsp;versus C</span><sub>4</sub><span>&nbsp;plant abundance. Three rind δ</span><sup>13</sup><span>C and δ</span><sup>18</sup><span>O records generally replicated. Intriguingly, rind δ</span><sup>13</sup><span>C may inversely correlate with summer insolation, evidence for global-scale influence on soils. Rind δ</span><sup>18</sup><span>O is not as clearly correlated with published western USA paleoclimate records, potentially due to regional differences in climate and because rinds record soil-specific processes. Our results support the fidelity of the soil carbonate rind paleoarchive and suggest that because rind formation seasonality is intimately tied to infiltration seasonality, spatial transects of rind records might be used to delineate boundaries between areas dominated by spring and summer infiltration, permitting reconstruction of the geographic extent of large-scale hydrologic phenomena such as the North American Monsoon.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GC012660","usgsCitation":"Huth, T.E., Cerling, T.E., Marchetti, D.W., Ellwein, A.L., Mahan, S.A., Bowling, D.R., Passey, B.H., Polyak, V.J., and Asmerom, Y., 2026, Springtime formation of laminated soil carbonate rinds and changes in fluvial terrace soils on orbital timescales at Rio Mesa, Utah, USA: Geochemistry, Geophysics, Geosystems, v. 27, no. 5, e2025GC012660, 20 p., https://doi.org/10.1029/2025GC012660.","productDescription":"e2025GC012660, 20 p.","ipdsId":"IP-179258","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":504152,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gc012660","text":"Publisher Index Page"},{"id":504055,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13EMTYG","text":"USGS data release","linkHelpText":"Luminescence data for: Springtime Formation of Laminated Soil Carbonate Rinds and Changes in Fluvial Terrace Soils on Orbital Timescales at Rio Mesa, Utah, USA"},{"id":503670,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Rio Mesa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.19947650382221,\n              38.81144940086827\n            ],\n            [\n              -109.15369813510924,\n              38.81144940086827\n            ],\n            [\n              -109.15369813510924,\n              38.77688465318985\n            ],\n            [\n              -109.19947650382221,\n              38.77688465318985\n            ],\n            [\n              -109.19947650382221,\n              38.81144940086827\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Huth, Tyler E. 0000-0002-3436-7009","orcid":"https://orcid.org/0000-0002-3436-7009","contributorId":370676,"corporation":false,"usgs":false,"family":"Huth","given":"Tyler","middleInitial":"E.","affiliations":[{"id":37383,"text":"Washington University","active":true,"usgs":false}],"preferred":false,"id":960678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cerling, Thure E.","contributorId":370677,"corporation":false,"usgs":false,"family":"Cerling","given":"Thure","middleInitial":"E.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":960679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marchetti, David W.","contributorId":370678,"corporation":false,"usgs":false,"family":"Marchetti","given":"David","middleInitial":"W.","affiliations":[{"id":6693,"text":"Western State Colorado University","active":true,"usgs":false}],"preferred":false,"id":960680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ellwein, Amy L. 0000-0003-3591-6601","orcid":"https://orcid.org/0000-0003-3591-6601","contributorId":370679,"corporation":false,"usgs":false,"family":"Ellwein","given":"Amy","middleInitial":"L.","affiliations":[{"id":49195,"text":"Rocky Mountain Biological Laboratory","active":true,"usgs":false}],"preferred":false,"id":960681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowling, David R.","contributorId":370684,"corporation":false,"usgs":false,"family":"Bowling","given":"David","middleInitial":"R.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":960683,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Passey, Benjamin H.","contributorId":370685,"corporation":false,"usgs":false,"family":"Passey","given":"Benjamin","middleInitial":"H.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":960684,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Polyak, Victor J.","contributorId":370686,"corporation":false,"usgs":false,"family":"Polyak","given":"Victor","middleInitial":"J.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":960685,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Asmerom, Yemane","contributorId":295388,"corporation":false,"usgs":false,"family":"Asmerom","given":"Yemane","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":960686,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70275363,"text":"70275363 - 2026 - Modeling chronic wasting disease transmission risk in mule deer related to habitat characteristics","interactions":[],"lastModifiedDate":"2026-05-01T13:56:46.724745","indexId":"70275363","displayToPublicDate":"2026-04-29T08:52:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Modeling chronic wasting disease transmission risk in mule deer related to habitat characteristics","docAbstract":"Chronic wasting disease (CWD) is a prion disease of cervids that spreads to uninfected individuals through direct transmission (contact with infected individuals), vertical transmission (from mother to offspring), or indirect transmission (exposure to contaminated environments). The risk of indirect transmission is unevenly distributed on the landscape, and risk levels are expected to be controlled by patterns of habitat use by infected and uninfected individuals as well as environmental properties that alter the length of time prions remain infectious and available for uptake. Despite evidence from controlled or laboratory studies identifying environmental properties likely to affect patterns of CWD prion locations on the landscape, it remains difficult to connect mechanisms to realized increased or decreased risk of disease transmission, and few studies have attempted to detect patterns of different CWD risk in different environments. Using data from GPS-collared mule deer in Wyoming that were CWD-tested annually, we constructed models predicting annual probability of disease transmission contingent on environmental properties extracted from GPS use points. We compared models that emphasized different pathways of disease transmission by including or excluding sets of covariates that described deer density, habitat selection, and covariates expected to affect prion persistence in the environment. Results indicated that key habitat characteristics often selected by mule deer, such as proximity to secondary roads, were also associated with higher risk of testing positive for CWD, which supports the hypothesis that disease risk was correlated to patterns of habitat use by deer. We also found increased risk associated with spatial properties that were not selected-for by deer, such as areas where topography collects moisture, suggesting that prion retention mechanisms also play a role in risk. Incorporating these spatially-varying risk factors into our understanding of CWD transmission and outbreak progression can support managers in designing data collection and disease management strategies.","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0346077","usgsCitation":"Christensen, E.M., Kleist, N.J., Edmunds, D.R., Heinrichs, J., Saher, D., Whipple, A.L., DeVivo, M., and Aldridge, C.L., 2026, Modeling chronic wasting disease transmission risk in mule deer related to habitat characteristics: PLoS ONE, v. 21, no. 4, e0346077, 24 p., https://doi.org/10.1371/journal.pone.0346077.","productDescription":"e0346077, 24 p.","ipdsId":"IP-179327","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":504156,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0346077","text":"Publisher Index Page"},{"id":504056,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1K3QFC8","text":"USGS data release","linkHelpText":"Raster maps of relative risk of chronic wasting disease transmission based on environmental covariates for the South Converse Mule Deer Herd, Converse County, Wyoming"},{"id":503880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.91552517753678,\n              43.139560980857084\n            ],\n            [\n              -104.18803524946959,\n              43.139560980857084\n            ],\n            [\n              -104.18803524946959,\n              41.60389872904699\n            ],\n            [\n              -106.91552517753678,\n              41.60389872904699\n            ],\n            [\n              -106.91552517753678,\n              43.139560980857084\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Christensen, Erica Meta 0000-0002-5635-2502","orcid":"https://orcid.org/0000-0002-5635-2502","contributorId":370740,"corporation":false,"usgs":true,"family":"Christensen","given":"Erica","middleInitial":"Meta","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleist, Nathan J. 0000-0002-2468-4318","orcid":"https://orcid.org/0000-0002-2468-4318","contributorId":260598,"corporation":false,"usgs":true,"family":"Kleist","given":"Nathan","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":240888,"corporation":false,"usgs":false,"family":"Heinrichs","given":"Julie A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":960711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saher, D. Joanne 0000-0002-2452-2570","orcid":"https://orcid.org/0000-0002-2452-2570","contributorId":288928,"corporation":false,"usgs":false,"family":"Saher","given":"D. Joanne","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":960712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whipple, Ashley L. 0000-0002-0304-7643","orcid":"https://orcid.org/0000-0002-0304-7643","contributorId":300552,"corporation":false,"usgs":true,"family":"Whipple","given":"Ashley","email":"","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeVivo, Melia","contributorId":198647,"corporation":false,"usgs":false,"family":"DeVivo","given":"Melia","email":"","affiliations":[],"preferred":false,"id":960714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":960715,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70275326,"text":"70275326 - 2026 - Characterizing the long-term (1981–2023) temperature and precipitation dynamics in the Trans-Mountain regions of Kazakhstan, Central Asia","interactions":[],"lastModifiedDate":"2026-04-29T14:27:38.481172","indexId":"70275326","displayToPublicDate":"2026-04-28T09:15:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the long-term (1981–2023) temperature and precipitation dynamics in the Trans-Mountain regions of Kazakhstan, Central Asia","docAbstract":"<p><span>Mountain regions are highly climate-sensitive, yet long-term observational evidence of elevation and seasonal climate dynamics in Central Asia remains limited. This study examines spatiotemporal trends in temperature (Tmean, Tmax, Tmin, and diurnal temperature range [DTR]) and precipitation across Kazakhstan’s transmountain regions using 74 meteorological stations (1981–2023). Data were analyzed using the Mann–Kendall test and Sen’s slope estimator, stratified across six elevation zones from lowlands (&lt;400 m) to high mountains (&gt;1500 m). Results reveal a robust, spatially coherent warming signal across all zones. Annual Tmean increased at a median rate of ~0.30 °C decade</span><sup>−1</sup><span>, peaking at 0.36 °C decade</span><sup>−1</sup><span>&nbsp;above 1500 m, corresponding to an absolute increase exceeding 1.5 °C. Warming exhibited strong seasonal and diurnal asymmetries. Spring warmed most rapidly, with Tmean increasing &gt;0.60 °C decade</span><sup>−1</sup><span>&nbsp;(approaching 3 °C total). Winter warming was driven by Tmin increases (up to 0.44 °C decade</span><sup>−1</sup><span>), causing widespread DTR contraction, whereas summer warming was driven by Tmax increases, expanding DTR at higher elevations. Tmin showed the strongest elevation amplification overall. In stark contrast, precipitation trends were weak, spatially heterogeneous, and largely non-significant. Annual changes ranged from −6.63 to +14.35 mm decade</span><sup>−1</sup><span>, with seasonal tendencies indicating modest, non-significant winter/spring wetting and summer drying. Ultimately, the results demonstrate a profound decoupling between strong, elevation-dependent warming and weak precipitation changes. The acute amplification of temperature, particularly during spring and summer at high elevations, has severe implications for snowmelt timing, glacier mass balance, evapotranspiration demand, and long-term water security in Kazakhstan.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w18091046","usgsCitation":"Duisebek, B., Senay, G.B., Usmanov, T., Kyrgyzbay, K., Sagin, J., Mukanov, Y., Samarkhanov, K., Wang, X., Danierhan, S., and Pan, X., 2026, Characterizing the long-term (1981–2023) temperature and precipitation dynamics in the Trans-Mountain regions of Kazakhstan, Central Asia: Water, v. 18, no. 9, 1046, 26 p., https://doi.org/10.3390/w18091046.","productDescription":"1046, 26 p.","ipdsId":"IP-187896","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":503778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w18091046","text":"Publisher 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,{"id":70276316,"text":"70276316 - 2026 - Efficiency of down-looking cameras for detecting round goby (Neogobius melanostomus) over varying substrates in laboratory microcosms","interactions":[],"lastModifiedDate":"2026-05-28T14:01:29.786884","indexId":"70276316","displayToPublicDate":"2026-04-28T08:54:53","publicationYear":"2026","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":"Efficiency of down-looking cameras for detecting round goby (<i>Neogobius melanostomus</i>) over varying substrates in laboratory microcosms","title":"Efficiency of down-looking cameras for detecting round goby (Neogobius melanostomus) over varying substrates in laboratory microcosms","docAbstract":"<p><span>Since invading the Laurentian Great Lakes in the late 1980s, round goby&nbsp;</span><i>Neogobius melanostomus</i><span>&nbsp;have become a dominant benthic prey species, resulting in a need to accurately monitor their population abundance to inform fisheries management. Camera-based methods for assessing round goby abundances have gained popularity, but their efficiencies for detecting round goby are poorly understood. We evaluated the efficiency of down-looking color monocular cameras for detecting round goby presence in microcosm enclosures with known numbers of fish. Detection efficiencies were compared between sand and cobble substrate during daylight hours using a generalized linear mixed-effects model. After accounting for trial effects, enclosure placement, and within-replicate temporal autocorrelation, round goby detection efficiency was 98.6% over sand (95% confidence limit (CL): 98.0–99.0%), and 55.3% over a single layer of cobble substrate (CL: 48.6–61.8%). The large difference in detectability between cobble and sand suggests that camera-based estimates of round goby abundances are likely to be biased low and have lower relative precision in high-structure habitats, but may be largely unbiased in low-structure habitats. Despite much lower relative detection efficiencies of cameras in high-structure cobble habitats, the efficiencies reported here still compare favorably to conventional methods like otter and beam trawling. Our results provide initial quantitative bounds on the possible degree of negative bias in camera-based estimates of round goby abundances in different substrates, but require further field verification across the diversity of substrates, interstitial infilling, and other structural attributes of habitat found in the Great Lakes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2026.102823","usgsCitation":"Yeager, N., Brenden, T.O., Esselman, P., Schulz, K.A., and Tilley, A.T., 2026, Efficiency of down-looking cameras for detecting round goby (Neogobius melanostomus) over varying substrates in laboratory microcosms: Journal of Great Lakes Research, https://doi.org/10.1016/j.jglr.2026.102823.","ipdsId":"IP-162638","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504771,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Detroit River, Lake St. Clair","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.9490270748309,\n              42.368530023889406\n            ],\n            [\n              -83.0108875525566,\n              42.368530023889406\n            ],\n            [\n              -83.0108875525566,\n              42.339438861020085\n            ],\n            [\n              -82.9490270748309,\n              42.339438861020085\n            ],\n            [\n              -82.9490270748309,\n              42.368530023889406\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.83052449197854,\n              42.605189172189114\n            ],\n            [\n              -82.77512824809497,\n              42.605189172189114\n            ],\n            [\n              -82.77512824809497,\n              42.55812492657796\n            ],\n            [\n              -82.83052449197854,\n              42.55812492657796\n            ],\n            [\n              -82.83052449197854,\n              42.605189172189114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Yeager, Nicholas 0000-0001-9154-692X","orcid":"https://orcid.org/0000-0001-9154-692X","contributorId":371602,"corporation":false,"usgs":false,"family":"Yeager","given":"Nicholas","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":962093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenden, Travis O. 0000-0002-4373-1503","orcid":"https://orcid.org/0000-0002-4373-1503","contributorId":371603,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","middleInitial":"O.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":962094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":962095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schulz, Kailee A. 0000-0002-0998-7951","orcid":"https://orcid.org/0000-0002-0998-7951","contributorId":371608,"corporation":false,"usgs":false,"family":"Schulz","given":"Kailee","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":962096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tilley, Alden T. 0000-0002-1056-3478","orcid":"https://orcid.org/0000-0002-1056-3478","contributorId":351036,"corporation":false,"usgs":true,"family":"Tilley","given":"Alden","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":962097,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70276582,"text":"70276582 - 2026 - 2025 USGS National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands: Overview of model and hazard results","interactions":[],"lastModifiedDate":"2026-06-09T15:20:27.566197","indexId":"70276582","displayToPublicDate":"2026-04-28T08:12:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"2025 USGS National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands: Overview of model and hazard results","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The U.S. Geological Survey recently updated the National Seismic Hazard Model (NSHM) for Puerto Rico and the U.S. Virgin Islands (PRVI). The first version of the PRVI NSHM was released in 2003, and therefore this 2025 update includes over 20 years of new geologic, geophysical, and engineering data, methods, and models. Updates follow similar efforts performed in the recent 2023 50-state NSHM. However, this is the first NSHM in which we: (1) apply an inversion methodology to subduction interface fault sources in the earthquake rupture forecast (ERF) model; (2) develop scaled backbone median ground-motion models and independent aleatory variability models that are applied in the ground-motion characterization (GMC) model; and (3) calculate epistemic uncertainty related to alternative scenarios in the ERF and GMC models for all grid points in the study region. Long-term time-independent mean hazard calculations were performed for peak ground acceleration and 5%-damped pseudospectral acceleration at 21 spectral periods from 0.01- to 10.0-s, for eight National Earthquake Hazards Reduction Program site conditions ranging from&nbsp;</span><i>V</i><sub>S30</sub><span> = 150 to 1500 m/s, and for 2%, 5%, and 10% in 50-year probabilities of exceedance (return periods of 2475, 975, and 475 years, respectively). Epistemic uncertainty, in the form of selected percentiles, is also provided for a suite of test sites and all grid points in the study region for limited periods, site conditions, and probabilities of exceedance. Selected results, including comparisons with the 2003 PRVI NSHM, are shown and discussed for selected periods, site conditions, and probabilities of exceedance. When comparing the 2025 PRVI NSHM with the 2003 PRVI NSHM, hazard is generally higher at shorter periods and lower at longer periods, as a result of updates in both ERF and GMC models. The 2025 PRVI NSHM is applicable for return periods greater than ∼475 or less than ∼10,000 years.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp4.70055","usgsCitation":"Shumway, A.M., Milner, K., Powers, P.M., Moschetti, M.P., Altekruse, J.M., Herrick, J.A., Llenos, A.L., Withers, K.B., Field, E.H., Aagaard, B.T., Briggs, R.W., Hatem, A.E., Haynie, K.L., Michael, A.J., Thompson Jobe, J.A., Jaiswal, K.S., Clayton, B.S., Luco, N., Petersen, M.D., Rezaeian, S., Pratt, T.L., and Zeng, Y., 2026, 2025 USGS National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands: Overview of model and hazard results: Earthquake Spectra, v. 42, no. 2, e70055, 43 p., https://doi.org/10.1002/esp4.70055.","productDescription":"e70055, 43 p.","ipdsId":"IP-169428","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":505472,"rank":0,"type":{"id":40,"text":"Open Access Publisher 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0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":962732,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":962733,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Clayton, Brandon S. 0000-0003-0502-7184 bclayton@usgs.gov","orcid":"https://orcid.org/0000-0003-0502-7184","contributorId":197196,"corporation":false,"usgs":true,"family":"Clayton","given":"Brandon","email":"bclayton@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":962734,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":962735,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Petersen, Mark D. 0000-0001-8542-3990","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":372089,"corporation":false,"usgs":false,"family":"Petersen","given":"Mark","middleInitial":"D.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":962736,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":238513,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":962737,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":201084,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":962738,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Zeng, Yuehua 0000-0003-1161-1264 zeng@usgs.gov","orcid":"https://orcid.org/0000-0003-1161-1264","contributorId":145693,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":962739,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70276246,"text":"70276246 - 2026 - Rethinking seed selection based on climate matching during restoration: Geography, soils and climate explain species-specific mortality","interactions":[],"lastModifiedDate":"2026-05-20T15:25:15.647561","indexId":"70276246","displayToPublicDate":"2026-04-27T10:17:53","publicationYear":"2026","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":"Rethinking seed selection based on climate matching during restoration: Geography, soils and climate explain species-specific mortality","docAbstract":"<p><span>Implicit in the construction of seed transfer zones (STZs) are the assumptions that plant populations are adapted to their home climates and that transferring native seed across climate gradients risks maladaptation and poor performance. However, plants are adapted to multiple aspects of their environments that are often excluded from STZ development. Here, we used models integrating geographic distance, climate distance and soil metrics to predict plant mortality in an experimental garden for three restoration-relevant species in the southwestern United States:&nbsp;</span><i><span class=\"italic\">Bouteloua curtipendula</span></i><span>,&nbsp;</span><i><span class=\"italic\">Heterotheca villosa</span></i><span>&nbsp;and&nbsp;</span><span class=\"italic\"><i>Sporobolus cryptandrus</i>.</span><span>&nbsp;Overall, climate distance explained mortality better than geographic distance, but increasing climate distance was not consistently associated with higher mortality. In contrast, mortality always increased with geographic distance. Species responded idiosyncratically to environmental gradients such as soil texture and pH, indicating that incorporating site-specific variables beyond climate can improve predictions of survival. Finally, seed sources of&nbsp;</span><span class=\"italic\">H. villosa</span><span>&nbsp;from hotter, drier climates exhibited improved survival during abnormally hot, dry conditions at the experimental site, whereas no consistent pattern emerged for the two grass species. Collectively, our results suggest that seeding strategies extending beyond climate matching alone may better support restoration outcomes when species-specific guidance is unavailable.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/dry.2026.10031","usgsCitation":"Roybal, C.M., Samuel, E.M., Mitchell, R., Winkler, D.E., and Massatti, R., 2026, Rethinking seed selection based on climate matching during restoration: Geography, soils and climate explain species-specific mortality: Cambridge Prisms: Drylands, v. 3, e18, 11 p., https://doi.org/10.1017/dry.2026.10031.","productDescription":"e18, 11 p.","ipdsId":"IP-179648","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/dry.2026.10031","text":"Publisher Index Page"},{"id":504554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.9792756,\n              32.3152778\n            ],\n            [\n              -104.5535277,\n              36.2876949\n            ],\n            [\n              -108.5944279,\n              39.2530261\n            ],\n            [\n              -113.5012354,\n              37.2127529\n            ],\n            [\n              -108.9792756,\n              32.3152778\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2026-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Roybal, Carla Maria 0000-0002-8294-0666","orcid":"https://orcid.org/0000-0002-8294-0666","contributorId":371436,"corporation":false,"usgs":true,"family":"Roybal","given":"Carla","middleInitial":"Maria","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samuel, Ella M. 0000-0001-5085-7369","orcid":"https://orcid.org/0000-0001-5085-7369","contributorId":355712,"corporation":false,"usgs":true,"family":"Samuel","given":"Ella","middleInitial":"M.","affiliations":[{"id":84821,"text":"US Geological Survey, Fort Collins Science Center","active":true,"usgs":false}],"preferred":true,"id":961820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Rachel M.","contributorId":300516,"corporation":false,"usgs":false,"family":"Mitchell","given":"Rachel M.","affiliations":[{"id":65185,"text":"School of Earth and Sustainability, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":961821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":371439,"corporation":false,"usgs":false,"family":"Winkler","given":"Daniel","middleInitial":"E.","affiliations":[{"id":88142,"text":"formerly: U.S. Geological Survey, Southwest Biological Science Center, 520 N. Park Avenue, Tucson AZ","active":true,"usgs":false}],"preferred":false,"id":961822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961823,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70275309,"text":"70275309 - 2026 - Cumulative effects of multiple stressors on marine mammals: Elephant seals as a model system","interactions":[],"lastModifiedDate":"2026-04-28T16:12:10.016583","indexId":"70275309","displayToPublicDate":"2026-04-24T11:06:27","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Cumulative effects of multiple stressors on marine mammals: Elephant seals as a model system","docAbstract":"<p><span>Noise exposure is a potential stressor for free-ranging marine mammals and is often studied in the absence of other environmental factors. Here, a multi-investigator, interdisciplinary effort was undertaken to examine the response of elephant seals to multiple stressors. An integrated physiological and ecological approach was taken, including immunology, stress physiology, toxicology, animal behavior, population biology, and life history theory, to examine the cumulative effects of exposure to multiple stressors in elephant seals. While we measured the response of individual animals, a population response can be predicted by incorporating these results into the long-term data on elephant seal demographics.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The effects of noise on aquatic life IV","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Nature","doi":"10.1007/978-3-031-94229-7_40-1","collaboration":"UC Santa Cruz, DOW","usgsCitation":"Costa, D.P., Holser, R.R., Shipway, G.T., Favilla, A.B., McDonald, B.I., Shen, D.M., Diluzio, A.R., Peterson, S.H., Ackerman, J.T., and Crocker, D.E., 2026, Cumulative effects of multiple stressors on marine mammals: Elephant seals as a model system, chap. 1 <i>of</i> The effects of noise on aquatic life IV, p. 1-16, https://doi.org/10.1007/978-3-031-94229-7_40-1.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-186933","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":503594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-04-24","publicationStatus":"PW","contributors":{"editors":[{"text":"Popper, Arthur N.","contributorId":175351,"corporation":false,"usgs":false,"family":"Popper","given":"Arthur","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":960540,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Sisneros, Joseph A.","contributorId":370587,"corporation":false,"usgs":false,"family":"Sisneros","given":"Joseph","middleInitial":"A.","affiliations":[],"preferred":false,"id":960541,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Lepper, Paul A.","contributorId":370588,"corporation":false,"usgs":false,"family":"Lepper","given":"Paul","middleInitial":"A.","affiliations":[],"preferred":false,"id":960542,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Vigness-Raposa, Kathleen J.","contributorId":370589,"corporation":false,"usgs":false,"family":"Vigness-Raposa","given":"Kathleen","middleInitial":"J.","affiliations":[],"preferred":false,"id":960543,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Costa, Daniel P.","contributorId":370571,"corporation":false,"usgs":false,"family":"Costa","given":"Daniel","middleInitial":"P.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":960524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holser, Rachel R.","contributorId":370572,"corporation":false,"usgs":false,"family":"Holser","given":"Rachel","middleInitial":"R.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":960525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shipway, Garrett T.","contributorId":370573,"corporation":false,"usgs":false,"family":"Shipway","given":"Garrett","middleInitial":"T.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":960526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Favilla, Arina B.","contributorId":370574,"corporation":false,"usgs":false,"family":"Favilla","given":"Arina","middleInitial":"B.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":960527,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDonald, Birgitte I.","contributorId":370575,"corporation":false,"usgs":false,"family":"McDonald","given":"Birgitte","middleInitial":"I.","affiliations":[{"id":24620,"text":"San Jose State University","active":true,"usgs":false}],"preferred":false,"id":960528,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shen, Daphne M.","contributorId":370576,"corporation":false,"usgs":false,"family":"Shen","given":"Daphne","middleInitial":"M.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":960529,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diluzio, Amber R.","contributorId":370577,"corporation":false,"usgs":false,"family":"Diluzio","given":"Amber","middleInitial":"R.","affiliations":[{"id":24620,"text":"San Jose State University","active":true,"usgs":false}],"preferred":false,"id":960530,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960531,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960532,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crocker, Daniel E.","contributorId":370585,"corporation":false,"usgs":false,"family":"Crocker","given":"Daniel","middleInitial":"E.","affiliations":[{"id":36475,"text":"Sonoma State University","active":true,"usgs":false}],"preferred":false,"id":960533,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70273813,"text":"fs20253057 - 2026 - Uranium—Deposits, production and resources, market dynamics, and supply chain risks","interactions":[],"lastModifiedDate":"2026-04-24T18:39:05.038413","indexId":"fs20253057","displayToPublicDate":"2026-04-23T11:45:00","publicationYear":"2026","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":"2025-3057","displayTitle":"Uranium—Deposits, Production and Resources, Market Dynamics, and Supply Chain Risks","title":"Uranium—Deposits, production and resources, market dynamics, and supply chain risks","docAbstract":"<h1>Introduction</h1><p><span data-olk-copy-source=\"MessageBody\">Interest in nuclear power for the generation of electricity has risen with the increase in the need for more diverse baseload power, enhanced energy security, and the development of new technologies, such as small modular reactors (SMRs), which could provide power for remote areas, industrial applications, and artificial intelligence (AI) data centers. In 2024, the U.S. Department of Energy received $2.7 billion in congressional funding to bolster the domestic uranium production and nuclear fuel supply chain and address reliance on imports from foreign suppliers. In 2025, the U.S. Government issued several Executive and Secretary’s orders aimed at revitalizing the U.S. nuclear sector. If SMRs are to be as widely deployed in the United States and worldwide as envisioned, demand for uranium (nuclear reactor fuel) will likely increase.</span></p><p><span data-olk-copy-source=\"MessageBody\">After the Fukushima nuclear accident in 2011, the market spot price of uranium began a decline, followed by a decrease in U.S. and global uranium exploration and mine development expenditures that led to a uranium supply deficit until 2020, when prices started to recover, prompting a resurgence in uranium exploration and development. In January of 2024, the uranium spot price rose to a 17-year high $106 (U.S. dollars) per pound of U3O8 (triuranium oxide, commonly known as “yellowcake”), which is expected to increase uranium exploration, mine development, and uranium production domestically and worldwide.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253057","programNote":"Mineral Resources Program","usgsCitation":"Mihalasky, M.J., 2026, Uranium—Deposits, production and resources, market dynamics, and supply chain risks: U.S. Geological Survey Fact Sheet 2025-3057, 6 p., https://doi.org/10.3133/fs20253057.","productDescription":"6 p.","onlineOnly":"N","ipdsId":"IP-183501","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":503531,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119374.htm","linkFileType":{"id":5,"text":"html"}},{"id":503325,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253057/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3057"},{"id":499486,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3057/coverthb.jpg"},{"id":499488,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3057/fs20253057.pdf","text":"Report","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3057"},{"id":503248,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3057/fs20253057.xml"},{"id":503247,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3057/images"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -163.27895957198476,\n              82.71495374821887\n            ],\n            [\n              179.9,\n              82.71495374821887\n            ],\n            [\n              179.9,\n              -58.79868573338722\n            ],\n            [\n              -163.27895957198476,\n              -58.79868573338722\n            ],\n            [\n              -163.27895957198476,\n              82.71495374821887\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/gmeg\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, and Geophysics Science Center</a><br>U.S. Geological Survey<br>Building 19, 350 N. Akron Rd.<br>P.O. Box 158<br>Moffett Field, CA 94035</p>","tableOfContents":"<ul><li>Introduction</li><li>Uranium and Uranium Deposits</li><li>Uses and Applications of Uranium</li><li>Global Supply Chain</li><li>Market and Supply Dynamics</li><li>Global Production and Resources</li><li>Domestic Production and Resources</li><li>Consumption, Import Reliance, and Supply Chain Risks</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2026-04-23","noUsgsAuthors":false,"plainLanguageSummary":"<p><br data-mce-bogus=\"1\"></p>","publicationDate":"2026-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Mihalasky, Mark J. 0000-0002-0082-3029 mjm@usgs.gov","orcid":"https://orcid.org/0000-0002-0082-3029","contributorId":3692,"corporation":false,"usgs":true,"family":"Mihalasky","given":"Mark","email":"mjm@usgs.gov","middleInitial":"J.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":954908,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70275268,"text":"70275268 - 2026 - Cyanobacterial bloom occurrence and emergency department visits for asthma or wheeze, Wisconsin, 2017–2019","interactions":[],"lastModifiedDate":"2026-05-07T15:56:42.135468","indexId":"70275268","displayToPublicDate":"2026-04-23T10:15:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":24012,"text":"Environmental Epidemiology","active":true,"publicationSubtype":{"id":10}},"title":"Cyanobacterial bloom occurrence and emergency department visits for asthma or wheeze, Wisconsin, 2017–2019","docAbstract":"<h3>Background:&nbsp;</h3><p>Cyanobacterial harmful algal blooms (cyanoHABs) pose risks to human and animal health.</p><h3>Methods:&nbsp;</h3><p>We investigated the relationship between cyanoHABs and asthma or wheeze-related emergency department (ED) visits near three Wisconsin cities (Green Bay, Madison, and Oshkosh) during 2017–2019. CyanoHAB exposure was approximated using the Cyanobacterial Assessment Network remotely sensed satellite indicator of cyanobacterial biomass, a chlorophyl algorithm (Chl<sub>BS</sub>) aggregated by water-adjacent ZIP Code Tabulation Areas (ZCTA), and distance weighted from the nearest waterbody. Weekly counts of ED visits for asthma or wheeze were aggregated by ZCTA. Poisson generalized linear models estimated the association between the weekly number of ED visits and weekly Chl<sub>BS,</sub><span>&nbsp;</span>adjusting for maximum temperature, dewpoint, fine particulate matter (PM<sub>2.5</sub>), month, and correlation within ZCTA.</p><h3>Results:&nbsp;</h3><p>During 2017–2019, 7,057 ED visits for asthma or wheeze occurred in the study area (42 ZCTAs). Peaks in Chl<sub>BS</sub><span>&nbsp;</span>occurred between June and October, with higher values in Lake Winnebago and Lake Mendota compared to Green Bay. Chl<sub>BS</sub><span>&nbsp;</span>was not associated with ED visits for asthma or wheeze (adjusted rate ratio = 1.00, 95% confidence interval = 0.99, 1.00), and the presence of onshore winds did not change this result. Monthly aggregations of ED visits and Chl<sub>BS</sub><span>&nbsp;</span>showed a monotonic trend between increasing Chl<sub>BS</sub><span>&nbsp;</span>and ED visits during July–September.</p><h3>Conclusion:&nbsp;</h3><p>This study demonstrates the utility of remote sensing data in environmental health research. Future studies could explore individual-level exposure and outcomes to refine health risks associated with cyanoHABs.</p>","language":"English","publisher":"Wolters Kluwer","doi":"10.1097/EE9.0000000000000439","collaboration":"Center for Disease Control and Prevention, Wisconsin Dept of Health Services, United States Environmental Protection Agency, National Aeronautics and Space Administration, Morgan State University","usgsCitation":"Lavery, A.M., Murray, J., Pennington, A.F., Schaeffer, B., Seegers, B., Hilborn, E.D., Loftin, K., Scroggins, S., and Backer, L., 2026, Cyanobacterial bloom occurrence and emergency department visits for asthma or wheeze, Wisconsin, 2017–2019: Environmental Epidemiology, v. 10, no. 3, e439, https://doi.org/10.1097/EE9.0000000000000439.","productDescription":"e439","ipdsId":"IP-178648","costCenters":[{"id":84311,"text":"Central Plains Water Science 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,{"id":70275077,"text":"ofr20261004 - 2026 - Development of a two-stage lifecycle model to inform the trap-and-haul program for <em>Oncorhynchus kisutch</em> (coho salmon) in the Lewis River, Washington","interactions":[{"subject":{"id":70275112,"text":"70275112 - 2025 - Development of a two-stage life cycle model to inform the Trap and Haul Program for Coho salmon in the Lewis River, Washington","indexId":"70275112","publicationYear":"2025","noYear":false,"title":"Development of a two-stage life cycle model to inform the Trap and Haul Program for Coho salmon in the Lewis River, Washington"},"predicate":"SUPERSEDED_BY","object":{"id":70275077,"text":"ofr20261004 - 2026 - Development of a two-stage lifecycle model to inform the trap-and-haul program for <em>Oncorhynchus kisutch</em> (coho salmon) in the Lewis River, Washington","indexId":"ofr20261004","publicationYear":"2026","noYear":false,"title":"Development of a two-stage lifecycle model to inform the trap-and-haul program for <em>Oncorhynchus kisutch</em> (coho salmon) in the Lewis River, Washington"},"id":1}],"lastModifiedDate":"2026-04-23T13:56:24.60608","indexId":"ofr20261004","displayToPublicDate":"2026-04-22T14:45:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-1004","displayTitle":"Development of a Two-Stage Lifecycle Model to Inform the Trap-and-Haul Program for <em>Oncorhynchus kisutch</em> (Coho Salmon) in the Lewis River, Washington","title":"Development of a two-stage lifecycle model to inform the trap-and-haul program for <em>Oncorhynchus kisutch</em> (coho salmon) in the Lewis River, Washington","docAbstract":"<p>Restoration of salmon populations in the upper Lewis River Basin, Washington, depends on a trap-and-haul program owing to the Lewis River Hydroelectric Project (hereinafter referred to as “Project”) operated by PacifiCorp and Cowlitz Public Utilities District (hereinafter referred to as “Utilities”), which has been a barrier to salmon passage since the 1930s. Thus, sustaining the <i>Oncorhynchus kisutch</i> (Walbaum, 1792; coho salmon) population upstream from the Project currently depends on two fundamental factors: (1) the collection of upstream migrating adult coho salmon at Merwin Dam, the lowermost dam within the Project, and transporting them by truck to spawn above Swift Dam, the uppermost dam within the Project; and (2) the collection of out-migrating juvenile coho salmon at the downstream collection facility at Swift Dam for transport and release below the Project. The reintroduction program began once the downstream collection facility at Swift Dam was commissioned in late 2012, with the first year of transport data being collected in 2013. Over the past decade, the Utilities have been collecting data on juvenile outmigrants and adult fish returns at the dams. The need to construct a lifecycle model for Lewis River anadromous fish was identified by the Lewis River Aquatic Technical Subgroup, with the understanding that many years (more than 15 years) of data collection are needed to adequately measure the lifecycle production of salmon. The U.S. Geological Survey was contracted to develop and apply the model to past data at the Lewis River dams to help inform future data collection and provide a framework that can be updated annually to measure trap-and-haul program performance within a lifecycle context.</p><p>Because coho salmon can live as long as 5 years, estimating demographic parameters for coho salmon populations over their lifecycle requires at least 10 or more years of data collection. Over the past decade, PacifiCorp has been collecting data on fish collection efficiency and the numbers of adult and juvenile salmon transported around the Lewis River dams, making this an ideal time to formulate a lifecycle model that can guide future data collection efforts and provide preliminary information to resource managers. The goal of the statistical lifecycle model is to estimate annual production and survival during two critical life-stage transitions: (1) the freshwater production from escapement of adults released upstream from Swift Dam, and the collection of downstream migrating juveniles at the downstream passage facility at Swift Dam; and (2) the smolt-to-adult survival from the time of collection at Swift Dam to their return as adults. We used the Beverton-Holt stock-recruitment model to estimate juvenile production from the number of spawners (Beverton and Holt, 1957). This approach allowed us to test for density dependence at current spawner abundances while estimating annual productivity, defined as the number of juveniles produced per spawner at low spawner abundance. Productivity was then expressed as a function of the number of juveniles collected and transported downstream from the Project. Because juvenile fish collection efficiency (FCE) directly affects the number of juveniles that survive to continue downstream migration, FCE is a primary determinant of fish production. Consequently, the modeling framework is well suited to evaluate the performance of trap-and-haul programs within a lifecycle context.</p><p>The objectives of this study were to (1) gather and collate available data on adult and juvenile coho salmon at Merwin and Swift Dams; (2) quantify adult escapement, juvenile abundance, and the age at outmigration and adult return; (3) describe, formulate and fit the integrated population model to the data; and (4) summarize our findings, identify data gaps, and identify opportunities for future studies that could improve model estimation and inference. Our key findings were: (1) over and above the number of spawning females, FCE was the primary factor affecting productivity of coho salmon above Swift Dam; (2) smolt-to-adult return (SAR) rates were relatively high considering that harvest was included in the estimate, averaging about 4.5 percent and ranging as high as 12.9 percent; and (3) juvenile capacity upstream from Swift Dam was difficult to estimate due to the limited range in spawning females over the time series of data, suggesting the model may be improved by collecting data at higher spawner abundances. In addition, by including FCE in the model, we estimated that the median pre-collection productivity, defined as the number of juveniles produced per spawner when FCE=1, was 64 juveniles per spawner. Because the two-stage lifecycle model partitions factors that affect fish production in rivers versus the ocean, the model estimates may help inform fishery managers about the overall role that fish collection at Swift Dam plays in the recovery and sustainability of Lewis River coho salmon. By providing the model with (1) more years of data, (2) higher numbers of spawning females, and (3) data on age at juvenile migration in relation to age at adult return, greater certainty in the estimates of capacity and SAR can be attained. Ultimately, information provided by the model may assist in the evaluation and continued improvement of the current trap-and-haul program to support anadromous fishes in the Lewis River Basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261004","collaboration":"Prepared in cooperation with PacifiCorp","usgsCitation":"Plumb, J.M., and Perry, R.W., 2026, Development of a two-stage lifecycle model to inform the trap-and-haul program for Oncorhynchus kisutch (coho salmon) in the Lewis River, Washington: U.S. Geological Survey Open-File Report 2026–1004, 24 p., https://doi.org/10.3133/ofr20261004. [Supersedes preprint https://doi.org/10.1101/2025.04.30.651546.]","productDescription":"vii, 24 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-170103","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":502780,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1004/coverthb.jpg"},{"id":502781,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1004/ofr20261004.pdf","size":"5.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1004 PDF"},{"id":502782,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261004/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1004 HTML"},{"id":502783,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1004/ofr20261004.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1004 XML"},{"id":502784,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1004/images/"}],"country":"United States","state":"Washington","otherGeospatial":"Lewis River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.99926718616892,\n              46.128547340095906\n            ],\n            [\n              -122.8039992422735,\n              46.12907889994935\n            ],\n            [\n              -122.80484882535518,\n              45.8612743686528\n            ],\n            [\n              -122.00013863515652,\n              45.86266272702096\n            ],\n            [\n              -121.99926718616892,\n              46.128547340095906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/western-fisheries-research-center\" data-mce-href=\"https://www.usgs.gov/centers/western-fisheries-research-center\">Western Fisheries Research Center</a><br>U.S. Geological Survey<br>5501-A Cook Underwood Road<br>Cook, Washington 98605-9717</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgements</li><li>Abstract</li><li>Introduction</li><li>Study Area</li><li>Methods</li><li>Results</li><li>Conclusions</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2026-04-22","noUsgsAuthors":false,"publicationDate":"2026-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Plumb, John M. 0000-0003-4255-1612","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":220178,"corporation":false,"usgs":true,"family":"Plumb","given":"John","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":959380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":959383,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70276544,"text":"70276544 - 2026 - Sustainability trade-offs at the nexus of solar energy, agriculture, and biodiversity","interactions":[],"lastModifiedDate":"2026-06-09T18:29:30.844512","indexId":"70276544","displayToPublicDate":"2026-04-22T11:26:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":24809,"text":"Geography and Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Sustainability trade-offs at the nexus of solar energy, agriculture, and biodiversity","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>A rapid transition to renewable energy is necessary for achieving global decarbonization targets, but siting conflicts, particularly beyond the built environment, remain a key barrier to sustainable development. At the same time, climate-induced pressures on biodiversity intensify the socio-ecological trade-offs within the energy-agriculture-biodiversity nexus. Using New York State as a case study, we assess the geographic implications of utility-scale solar energy development under competing land-use priorities. We apply a mixed-integer linear programming (MILP) optimization model to evaluate solar buildout across three distinct scenarios: minimizing cost, prioritizing agricultural preservation, and conserving biodiversity, employing a lexicographic hierarchy to enforce a strict ordering of stakeholder priorities. Results indicate that New York can meet its mid-century decarbonization goals by deploying 46,216 MW</span><sub>dc</sub><span>&nbsp;of solar energy, however, achieving this goal involves considerable land-use trade-offs. A cost-minimizing scenario disproportionately targets pasture and hay lands (&gt;40,000 ha), nearly half of which overlap with grassland bird habitat and broader biodiversity areas. Prioritizing agriculture spares ∼80 % of farmland but creates potential for deforestation of over 41,000 ha. Biodiversity-conscious siting avoids ecologically sensitive areas and increases the annualized total costs by 0.17 %, indicating economic feasibility. Our findings highlight the need for spatially informed, integrative land-use strategies that reconcile climate goals with ecological and agricultural values. By linking geospatial optimization with socio-ecological criteria, this work contributes a transferable framework to inform just and ecologically responsible energy transitions in multifunctional landscapes, offering new insights into how geography can advance sustainable development.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geosus.2026.100483","usgsCitation":"Gallaher, A., Koch, T., Kalies, E.L., Woodbury, P.B., and Grodsky, S.M., 2026, Sustainability trade-offs at the nexus of solar energy, agriculture, and biodiversity: Geography and Sustainability, v. 7, no. 3, 100483, 13 p., https://doi.org/10.1016/j.geosus.2026.100483.","productDescription":"100483, 13 p.","ipdsId":"IP-181681","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":505491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geosus.2026.100483","text":"Publisher Index 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Conservancy","active":true,"usgs":false}],"preferred":false,"id":962637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodbury, Peter B.","contributorId":371985,"corporation":false,"usgs":false,"family":"Woodbury","given":"Peter","middleInitial":"B.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":962638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":962639,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70275215,"text":"70275215 - 2026 - Fish body midline segmentation using binary search","interactions":[],"lastModifiedDate":"2026-04-23T15:07:26.438479","indexId":"70275215","displayToPublicDate":"2026-04-22T10:00:11","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1313,"text":"Computers and Electronics in Agriculture","active":true,"publicationSubtype":{"id":10}},"title":"Fish body midline segmentation using binary search","docAbstract":"<p><span>Body and caudal fin locomotion is ubiquitous in aquatic vertebrates, and kinematic models describing it are used in robotics, biomechanics and fisheries research. This paper presents a new algorithm to translate continuous body midlines of fish into a series of interconnected segments by identifying favorable joint positions along the body. The algorithm employs binary search to generate parsimonious kinematic models, aiming at minimizing the number of segments yet keeping approximation error below a user-defined threshold. To achieve this, the algorithm maximizes the length of each segment by determining the most distal joint position through repetitive shrinking of the search space. Theoretical and empirical analysis using two different datasets show that the binary search algorithm is substantially faster when compared to segment growing algorithm, which employs linear search to generate its models. There is four-fold improvement in computation time when generating models with less than 10 segments, which are typically sufficient to describe fish and fish-inspired robot movements. Furthermore, the multi-segment models generated by the binary search algorithm matched the ground truth models obtained through dynamic programming in over 97% of cases, and on average, contained one fewer segment than those produced by the Ramer–Douglas–Peucker algorithm, which is widely used in curvature simplification tasks. Our findings suggest that the binary search algorithm provides a computationally efficient approach for generating compact kinematic models and may facilitate the analysis of large datasets with high temporal and spatial resolution.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.compag.2026.111789","usgsCitation":"Sterling, R.M., Goerig, E.M., Buzdalov, M., Castro-Santos, T., and Akanyeti, O., 2026, Fish body midline segmentation using binary search: Computers and Electronics in Agriculture, v. 248, 111789, 14 p., https://doi.org/10.1016/j.compag.2026.111789.","productDescription":"111789, 14 p.","ipdsId":"IP-171912","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":503451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.compag.2026.111789","text":"Publisher Index Page"},{"id":503348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"248","noUsgsAuthors":false,"publicationDate":"2026-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Sterling, Robert M.H.","contributorId":370360,"corporation":false,"usgs":false,"family":"Sterling","given":"Robert","middleInitial":"M.H.","affiliations":[{"id":16758,"text":"Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":960152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goerig, Elsa Marie-Catherine 0000-0003-1430-4657","orcid":"https://orcid.org/0000-0003-1430-4657","contributorId":370312,"corporation":false,"usgs":true,"family":"Goerig","given":"Elsa","middleInitial":"Marie-Catherine","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":960153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buzdalov, M","contributorId":370313,"corporation":false,"usgs":false,"family":"Buzdalov","given":"M","affiliations":[{"id":16758,"text":"Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":960154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":315433,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":960155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Akanyeti, O.","contributorId":269927,"corporation":false,"usgs":false,"family":"Akanyeti","given":"O.","email":"","affiliations":[{"id":16758,"text":"Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":960156,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70275228,"text":"70275228 - 2026 - Spatial heterogeneity of salt marsh vulnerability to sea-level rise: Dual controls of hydrological setting and salinity regime","interactions":[],"lastModifiedDate":"2026-04-23T14:59:21.164096","indexId":"70275228","displayToPublicDate":"2026-04-22T09:50:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Spatial heterogeneity of salt marsh vulnerability to sea-level rise: Dual controls of hydrological setting and salinity regime","docAbstract":"<p><span>Salt marsh vulnerability to sea-level rise (SLR) is typically assessed using point measurements of vertical accretion, neglecting three-dimensionality of geomorphic evolution and spatial variability. Recent studies suggest links between vertical and horizontal vulnerability, with differences between oligohaline and polyhaline marshes, yet these relationships remain untested in estuary-marsh systems. Here we combine geospatial analysis with hydrodynamic modeling to evaluate how unvegetated/vegetated marsh ratio (UVVR), a metric of marsh degradation, relates to elevation across hydrological regions and salinity regimes in the Albemarle-Pamlico Estuarine System, the largest lagoonal estuary in U.S. We show that at given normalized elevation, UVVR decreases across hydrological regions and salinity regimes from offshore to inland. UVVR-elevation relationship varies systematically with both hydrological setting and salinity regime, with hydrology exerting stronger influence. These findings challenge the assumption of a universal marsh deterioration trajectory and underscore the need to account for spatial heterogeneity when predicting responses to SLR.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL119461","usgsCitation":"Yin, D., Defne, Z., Ganju, N., Warner, J., Ralston, D.K., Harris, C.K., and Li, B., 2026, Spatial heterogeneity of salt marsh vulnerability to sea-level rise: Dual controls of hydrological setting and salinity regime: Geophysical Research Letters, v. 53, no. 8, e2025GL119461, 12 p., https://doi.org/10.1029/2025GL119461.","productDescription":"e2025GL119461, 12 p.","ipdsId":"IP-183090","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":503449,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl119461","text":"Publisher Index Page"},{"id":503344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Albemarle‐Pamlico Estuarine System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.5,\n              36.692983362167894\n            ],\n            [\n              -75.19410206255961,\n              36.692983362167894\n            ],\n            [\n              -75.19410206255961,\n              34.5\n            ],\n            [\n              -77.5,\n              34.5\n            ],\n            [\n              -77.5,\n              36.692983362167894\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"53","issue":"8","noUsgsAuthors":false,"publicationDate":"2026-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Yin, Dongxiao","contributorId":294535,"corporation":false,"usgs":false,"family":"Yin","given":"Dongxiao","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":960173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":960174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":960175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":960176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ralston, David K.","contributorId":370316,"corporation":false,"usgs":false,"family":"Ralston","given":"David","middleInitial":"K.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":960177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harris, Courtney K.","contributorId":370317,"corporation":false,"usgs":false,"family":"Harris","given":"Courtney","middleInitial":"K.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":960178,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Bin","contributorId":47684,"corporation":false,"usgs":true,"family":"Li","given":"Bin","email":"","affiliations":[],"preferred":false,"id":960179,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70275367,"text":"70275367 - 2026 - Dynamic drainage reorganization in Eastern Tibet: Insights from the Yangtze River first bend","interactions":[],"lastModifiedDate":"2026-05-01T15:26:27.966229","indexId":"70275367","displayToPublicDate":"2026-04-22T09:38:48","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic drainage reorganization in Eastern Tibet: Insights from the Yangtze River first bend","docAbstract":"<p><span>The modern drainage network of eastern Tibet is widely believed to have developed through a series of river capture and flow reversal events; however, the timing and mechanisms driving this reorganization remain contentious. Among these events, the river capture that formed the First Bend of the Yangtze River (YFB) stands out as both iconic and particularly debated. Here we present sedimentary provenance data from the Late Miocene–Quaternary Dali Basin, located south of the YFB, which indicate that a southward-flowing Jinsha River (i.e., the present-day upper Yangtze River) sourced sediment to the Dali basin at ∼7.4–6.4 Ma in a drainage configuration different from that of today. Because this interval postdates the initial establishment of a near-modern Jinsha River system prior to the Miocene, our results imply at least two discrete fluvial reorganizations occurred at the YFB—one preceding ∼7.4 Ma and another following ∼6.4 Ma. By integrating these findings with landscape evolution modeling, we infer that the initiation of rapid uplift of the Yulong-Haba Mountains and the Diancang Shan may have been responsible for these drainage reorganizations. These results underscore that Cenozoic drainage systems on the eastern Tibetan Plateau have evolved dynamically on a short timescale of ∼10</span><sup>5</sup><span>–10</span><sup>6</sup><span>-year, rather than remaining in a long-term stationary configuration on ∼10</span><sup>7</sup><span>-year timescales.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2026.120054","usgsCitation":"Zhao, X., Li, Y., Zhang, H., Lease, R.O., Wang, Y., Hao, Y., Ma, Z., Xie, H., Kang, H., Xiong, J., and Zhang, P., 2026, Dynamic drainage reorganization in Eastern Tibet: Insights from the Yangtze River first bend: Earth and Planetary Science Letters, v. 686, 120054, 13 p., https://doi.org/10.1016/j.epsl.2026.120054.","productDescription":"120054, 13 p.","ipdsId":"IP-157349","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":503886,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"eastern Tibetan Plateau, first bend of the Yangtze River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              90,\n              35\n            ],\n            [\n              105,\n              35\n            ],\n            [\n              105,\n              20\n            ],\n            [\n              90,\n              20\n            ],\n            [\n              90,\n              35\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"686","noUsgsAuthors":false,"publicationDate":"2026-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhao, Xudong","contributorId":370764,"corporation":false,"usgs":false,"family":"Zhao","given":"Xudong","affiliations":[{"id":85575,"text":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":960738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Yifei","contributorId":370765,"corporation":false,"usgs":false,"family":"Li","given":"Yifei","affiliations":[{"id":85575,"text":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":960739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Huiping","contributorId":197172,"corporation":false,"usgs":false,"family":"Zhang","given":"Huiping","email":"","affiliations":[],"preferred":false,"id":960740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":960741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Ying","contributorId":76237,"corporation":false,"usgs":true,"family":"Wang","given":"Ying","email":"","affiliations":[],"preferred":false,"id":960742,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hao, Yuqi","contributorId":355155,"corporation":false,"usgs":false,"family":"Hao","given":"Yuqi","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":960743,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ma, Zifa","contributorId":370769,"corporation":false,"usgs":false,"family":"Ma","given":"Zifa","affiliations":[{"id":85575,"text":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":960744,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xie, Hao","contributorId":370770,"corporation":false,"usgs":false,"family":"Xie","given":"Hao","affiliations":[{"id":85575,"text":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":960745,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kang, Huan","contributorId":370771,"corporation":false,"usgs":false,"family":"Kang","given":"Huan","affiliations":[{"id":85575,"text":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":960746,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Xiong, Jianguo","contributorId":370772,"corporation":false,"usgs":false,"family":"Xiong","given":"Jianguo","affiliations":[{"id":85575,"text":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":960747,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhang, Peizhen","contributorId":370773,"corporation":false,"usgs":false,"family":"Zhang","given":"Peizhen","affiliations":[{"id":37968,"text":"Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":960748,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70275286,"text":"70275286 - 2026 - Geophysical architecture and geochronology of the Neoarchean Mentor anorthosite intrusive complex, northwestern Minnesota: Largest anorthosite complex of the Superior Province?","interactions":[],"lastModifiedDate":"2026-04-27T15:02:08.192248","indexId":"70275286","displayToPublicDate":"2026-04-22T07:55:36","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1168,"text":"Canadian Journal of Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical architecture and geochronology of the Neoarchean Mentor anorthosite intrusive complex, northwestern Minnesota: Largest anorthosite complex of the Superior Province?","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The Neoarchean Mentor anorthosite intrusive complex (MAIC) lies within the Wawa subprovince in northwestern Minnesota, in a region where the Wawa, Quetico, and Wabigoon subprovinces are juxtaposed in close proximity. Archean rocks are entirely concealed, and interpretations are developed from aeromagnetic, gravity, and borehole samples. The MAIC includes both anorthosite (dense, weakly magnetized) and oxide-rich gabbro (strongly magnetized) lithologies. Anorthosite is coarse-grained to megacrystic, intensely altered, and locally brecciated. Pervasive epidote alteration enhanced the density of the anorthosite via introduction of higher-density mineral assemblages, explaining why the MAIC produces a significant gravity high. Oxide-rich gabbro forms a border phase of the MAIC and has potential for vanadium, chromium, and titanium mineralization, and produces a strong aeromagnetic high. The MAIC is interpreted to extend over an area of 640&nbsp;km</span><sup>2</sup><span>, making it the largest known anorthosite complex of the Superior Province, as measured by preserved areal extent. Modeling indicates the MAIC extends more than 6&nbsp;km into the subsurface. A new Pb–Pb zircon age of 2737.2&nbsp;±&nbsp;4.5 Ma is interpretated as the crystallization age of anorthosite within the MAIC, showing that the MAIC formed well before the ca. 2690 Ma Shebandowanian orogeny, and raising new questions about correlations with other parts of the Wawa subprovince. A low-density batholith, here informally called the Fertile batholith, is interpreted to intrude the southern part of the MAIC. A new Pb–Pb zircon age of 2701.1&nbsp;±&nbsp;6 Ma is interpreted as the magmatic age of the Fertile batholith.</span></span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjes-2025-0089","usgsCitation":"Drenth, B.J., Radakovich, A.L., Souders, A., Hudak, G.J., and Saari, S., 2026, Geophysical architecture and geochronology of the Neoarchean Mentor anorthosite intrusive complex, northwestern Minnesota: Largest anorthosite complex of the Superior Province?: Canadian Journal of Earth Sciences, v. 63, p. 1-15, https://doi.org/10.1139/cjes-2025-0089.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-182404","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":503765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjes-2025-0089","text":"Publisher Index Page"},{"id":503548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"northwestern Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.07620613768854,\n              48.191635179203104\n            ],\n            [\n              -97.07620613768854,\n              47.53413690391682\n            ],\n            [\n              -95.69318804170514,\n              47.53413690391682\n            ],\n            [\n              -95.69318804170514,\n              48.191635179203104\n            ],\n            [\n              -97.07620613768854,\n              48.191635179203104\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"63","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":960338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Radakovich, Amy L.","contributorId":370430,"corporation":false,"usgs":false,"family":"Radakovich","given":"Amy","middleInitial":"L.","affiliations":[{"id":38105,"text":"Minnesota Geological Survey","active":true,"usgs":false}],"preferred":false,"id":960339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Souders, Amanda Kate 0000-0002-1367-8924","orcid":"https://orcid.org/0000-0002-1367-8924","contributorId":296423,"corporation":false,"usgs":true,"family":"Souders","given":"Amanda Kate","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":960340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudak, George J.","contributorId":370431,"corporation":false,"usgs":false,"family":"Hudak","given":"George","middleInitial":"J.","affiliations":[{"id":88028,"text":"retired from Natural Resources Research Institute","active":true,"usgs":false}],"preferred":false,"id":960341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saari, Stacy","contributorId":346927,"corporation":false,"usgs":false,"family":"Saari","given":"Stacy","email":"","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":960342,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70275358,"text":"70275358 - 2026 - Non-native invasive beetle alters structure of a riparian bird community in a biodiversity hotspot","interactions":[],"lastModifiedDate":"2026-04-30T15:17:01.314898","indexId":"70275358","displayToPublicDate":"2026-04-21T10:11:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Non-native invasive beetle alters structure of a riparian bird community in a biodiversity hotspot","docAbstract":"<p><span>A serious emerging threat to southern California riparian ecosystems is the invasive shot hole borer (</span><i>Euwallacea</i><span>&nbsp;spp.; SHB), a non-native beetle that cultivates a pathogenic fungus that kills trees of 66 reproductive host species. We examined the response of the bird community at the Tijuana River, California, to a massive SHB infestation in 2015 using data from a Monitoring Avian Productivity and Survivorship (MAPS) station operated during 7 pre-infestation (2009-15) and 7 post-infestation (2017-23) years. Species richness did not change between pre- and immediate (2017-18) post-SHB periods, but average annual adult captures declined by 27%. Among the species making up ≥ 5% of the total individuals caught in any one year (n=15), abundance declined by up to 76% in 10 species, including those most abundant at the station (Bushtit (</span><i>Psaltriparus minimus</i><span>), Song Sparrow (</span><i>Melospiza melodia</i><span>), Common Yellowthroat (</span><i>Geothlypis trichas</i><span>), Orange-crowned Warbler (</span><i>Leiothlypis celata</i><span>), and Wilson’s Warbler (</span><i>Cardellina pusilla</i><span>)). Mean annual abundance increased slightly for the endangered Least Bell’s Vireo (</span><i>Vireo bellii pusillus</i><span>) and Northern Yellow Warbler (</span><i>Setophaga aestiva</i><span>) and doubled for House Finch (</span><i>Haemorhous mexicanus</i><span>) and Western Warbling-Vireo (</span><i>V. swainsoni</i><span>). We compared species trends at the Tijuana River to those at a nearby uninfested MAPS station on the Santa Margarita River to isolate the effect of SHB from other factors influencing annual abundance. The contribution of SHB to changes in abundance post-SHB was high (63-80%) for 7 declining species, moderate (22-45%) for 4 species, and weakly to moderately positive (18-40%) for 3 species. By 2019, the SHB infestation at the Tijuana River had abated and canopy cover was recovering through resprouting of mature willows (</span><i>Salix</i><span>&nbsp;spp.) and seedling establishment. Bird abundance tracked this regrowth, with all of the species strongly affected by SHB increasing between 2019-23. The rapid recovery of the Tijuana River habitat and the associated response by the bird community are encouraging signs that the threat of the invasive shot hole borer to regional biodiversity may not be as great as originally anticipated.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2026.1810966","usgsCitation":"Kus, B., Yee, J.L., and Mendia, S., 2026, Non-native invasive beetle alters structure of a riparian bird community in a biodiversity hotspot: Frontiers in Ecology and Evolution, v. 14, 1810966, 9 p., https://doi.org/10.3389/fevo.2026.1810966.","productDescription":"1810966, 9 p.","ipdsId":"IP-186817","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":503790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2026.1810966","text":"Publisher Index Page"},{"id":503679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"Tijuana River and Santa Margarita River Monitoring Avian Productivity and Survivorship (MAPS) stations","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.12478011611208,\n              32.57418261517307\n            ],\n            [\n              -117.06869623089518,\n              32.57418261517307\n            ],\n            [\n              -117.06869623089518,\n              32.54037521854214\n            ],\n            [\n              -117.12478011611208,\n              32.54037521854214\n            ],\n            [\n              -117.12478011611208,\n              32.57418261517307\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2026-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yee, Julie L. 0000-0003-1782-157X","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":370734,"corporation":false,"usgs":false,"family":"Yee","given":"Julie","middleInitial":"L.","affiliations":[{"id":88067,"text":"USGS- Western Ecological Research Center","active":true,"usgs":false}],"preferred":false,"id":960703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendia, Shannon M. 0000-0003-4520-7024","orcid":"https://orcid.org/0000-0003-4520-7024","contributorId":223100,"corporation":false,"usgs":true,"family":"Mendia","given":"Shannon M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960704,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70275602,"text":"70275602 - 2026 - Surface rupture and slip distribution of the 2025 Mw7.7 Mandalay earthquake and updated length scaling of supershear earthquakes","interactions":[],"lastModifiedDate":"2026-05-19T15:48:31.65209","indexId":"70275602","displayToPublicDate":"2026-04-21T09:27:06","publicationYear":"2026","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}},"displayTitle":"Surface rupture and slip distribution of the 2025 <i>M</i>w 7.7 Mandalay earthquake and updated length scaling of supershear earthquakes","title":"Surface rupture and slip distribution of the 2025 Mw7.7 Mandalay earthquake and updated length scaling of supershear earthquakes","docAbstract":"<p>The 2025 <strong><i>M</i><sub>w</sub></strong> 7.7 Mandalay, Burma (Myanmar), earthquake ruptured 475 km of the central Sagaing fault and is the longest continental strike-slip rupture on record. The observed rupture length is 1.6–4.7 times the value expected (100–300 km) from existing length-magnitude scaling relations for strike-slip earthquakes. The earthquake resulted from shallow dextral faulting and ruptured bilaterally with supershear speeds south of the epicenter, rupturing close to three major cities in Myanmar and exposing over six million people to violent or extreme shaking. We report on the surface rupture character, length, and slip distribution based on sub-pixel correlation of Sentinel-2 (10 m) and Planet Dove (3 m) optical images and visual analysis of SkySat and WorldView (0.3–0.5 m) optical images. The earthquake had moderate surface slip (average = 3.3 m, maximum = 5.6 m, 25–75% range = 3.0–4.0 m), narrow deformation zone width (1–10 pixels in sub-pixel correlation and up to 190 meters for the detailed surface rupture mapping), and simple fault geometry (no stepovers or large changes in strike, 87% of the rupture that was mapped in detail is single-stranded). We attribute the extreme length of the Mandalay earthquake to supershear rupture speed, simple fault geometry, narrow down-dip width, and moderate surface slip. Based on a compilation of 25 supershear strike-slip earthquakes (<i><strong>M</strong></i><strong><sub>w</sub></strong>&nbsp;6.5–8.6; 1979–2025), we find that the rupture length of supershear earthquakes does not fit empirical scaling relationships for strike-slip earthquakes that predict length from magnitude. A length-magnitude scaling relationship based on supershear earthquakes has a best fit of <strong>log<sub>10</sub></strong>(surface rupture length) = 0.89 <strong><i>M</i><sub>w</sub> </strong>– 4.44, indicating that supershear earthquakes tend to be longer than their subshear counterparts for any given magnitude and thus may expose a greater population to shaking.</p>","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0220250257","usgsCitation":"Reitman, N.G., Wang, Y., Kuo, Y., Hanagan, C., Hatem, A.E., DuRoss, C.B., Chen, C., Goldberg, D.E., Yin, H.Z., Briggs, R.W., Thompson Jobe, J.A., Nicovich, S.R., Lynch, E.M., Powell, J.H., Barnhart, W.D., and Schmitt, R.G., 2026, Surface rupture and slip distribution of the 2025 Mw7.7 Mandalay earthquake and updated length scaling of supershear earthquakes: Seismological Research Letters, v. 97, no. 3, p. 1697-1720, https://doi.org/10.1785/0220250257.","productDescription":"24 p.","startPage":"1697","endPage":"1720","ipdsId":"IP-178831","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":504001,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504200,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250257","text":"Publisher Index Page"}],"country":"Myanmar","city":"Mandalay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              91.44734729185865,\n              22.74215156941196\n            ],\n            [\n              91.44734729185865,\n              16.683007730061675\n            ],\n            [\n              97.08162433862276,\n              16.683007730061675\n            ],\n            [\n              97.08162433862276,\n              22.74215156941196\n            ],\n            [\n              91.44734729185865,\n              22.74215156941196\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"97","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Yuanshi","contributorId":207814,"corporation":false,"usgs":false,"family":"Wang","given":"Yuanshi","email":"","affiliations":[{"id":37637,"text":"School of Mathematics and Computational Science Sun Yat-sen University","active":true,"usgs":false}],"preferred":false,"id":961007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuo, Yu-Ting","contributorId":371095,"corporation":false,"usgs":false,"family":"Kuo","given":"Yu-Ting","affiliations":[{"id":88090,"text":"National Chung Cheng University, Taiwan","active":true,"usgs":false}],"preferred":false,"id":961008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanagan, Catherine Elise 0000-0002-2966-5175","orcid":"https://orcid.org/0000-0002-2966-5175","contributorId":358930,"corporation":false,"usgs":true,"family":"Hanagan","given":"Catherine Elise","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":961009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DuRoss, Christopher B. 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961011,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Chun-Chi","contributorId":371096,"corporation":false,"usgs":false,"family":"Chen","given":"Chun-Chi","affiliations":[{"id":88091,"text":"National Taiwan University, Taiwan","active":true,"usgs":false}],"preferred":false,"id":961012,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goldberg, Dara Elyse 0000-0002-0923-3180","orcid":"https://orcid.org/0000-0002-0923-3180","contributorId":289891,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dara","email":"","middleInitial":"Elyse","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961014,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yin, Harriet Zoe 0000-0002-0670-6579","orcid":"https://orcid.org/0000-0002-0670-6579","contributorId":364882,"corporation":false,"usgs":true,"family":"Yin","given":"Harriet","middleInitial":"Zoe","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":961015,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961016,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thompson Jobe, Jessica A. 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961017,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nicovich, Sylvia R. 0000-0003-4280-4034","orcid":"https://orcid.org/0000-0003-4280-4034","contributorId":341909,"corporation":false,"usgs":true,"family":"Nicovich","given":"Sylvia","email":"","middleInitial":"R.","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":961018,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lynch, Emerson Madelyn 0000-0003-1419-1373","orcid":"https://orcid.org/0000-0003-1419-1373","contributorId":360726,"corporation":false,"usgs":true,"family":"Lynch","given":"Emerson","middleInitial":"Madelyn","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":961019,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Powell, Joseph Hoss 0009-0004-8272-1043","orcid":"https://orcid.org/0009-0004-8272-1043","contributorId":371097,"corporation":false,"usgs":true,"family":"Powell","given":"Joseph","middleInitial":"Hoss","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":961020,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Barnhart, William D. 0000-0003-0498-1697 wbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0003-0498-1697","contributorId":294678,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":961149,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schmitt, Robert G. 0000-0001-8060-1954 rschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-1954","contributorId":5611,"corporation":false,"usgs":true,"family":"Schmitt","given":"Robert","email":"rschmitt@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":961021,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70276244,"text":"70276244 - 2026 - Modeling future groundwater depletion to evaluate sustainability goals set under the Sustainable Groundwater Management Act in the critically overdrafted basins of the Central Valley, California, USA (2020–2070)","interactions":[],"lastModifiedDate":"2026-05-20T14:13:52.678977","indexId":"70276244","displayToPublicDate":"2026-04-21T08:56:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Modeling future groundwater depletion to evaluate sustainability goals set under the Sustainable Groundwater Management Act in the critically overdrafted basins of the Central Valley, California, USA (2020–2070)","docAbstract":"<p><span>In 2014, California's Sustainable Groundwater Management Act (SGMA) mandated local agencies to devise and implement groundwater sustainability plans to address critically overdrafted conditions throughout the state's aquifers. However, the feasibility of these agencies' sustainability goals has not previously been assessed through a regional-scale, integrative lens. Here, we develop and analyze a novel, basin-wide database of 936 sustainability indicator wells located within Central Valley subbasins designated as critically overdrafted, most of which lie in the San Joaquin Valley. Our database shows 2040 groundwater elevation goals vary widely from 60&nbsp;m above to 80&nbsp;m below 2020 levels, with variability within and between adjacent subbasins. To evaluate the feasibility of achieving these goals, we coupled the database with a regional hydrologic model (Central Valley Hydrologic Model version 2) and simulated multiple future pumping scenarios. Results show that under increased groundwater demand, 60%–70% of indicator wells may fail to meet their 2040 goals. Even a 50% reduction from 2020 demand levels leaves nearly 40% of wells failing to meet their sustainability thresholds by 2040. Baseline models show that by 2070, up to 70% of wells could fail to meet their goals due to large-scale, spatially connected regions of groundwater depletion. This integrated framework, linking the first region-wide compilation of SGMA indicator wells with a regional groundwater model, demonstrates that many local sustainability goals may be unattainable with substantial (up to 50%) reductions in pumping. Additional management interventions, such as expanded recharge or coordinated demand reductions, may help achieve sustainability goals.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR040639","usgsCitation":"Platt, L., Weingarten, M., Faunt, C., Traum, J.A., and Boyce, S., 2026, Modeling future groundwater depletion to evaluate sustainability goals set under the Sustainable Groundwater Management Act in the critically overdrafted basins of the Central Valley, California, USA (2020–2070): Water Resources Research, v. 62, no. 4, e2025WR040639, 21 p., https://doi.org/10.1029/2025WR040639.","productDescription":"e2025WR040639, 21 p.","ipdsId":"IP-177585","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":504652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr040639","text":"Publisher Index Page"},{"id":504548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.4080957,\n              34.9782649\n            ],\n            [\n              -117.4924999,\n              36.0958145\n            ],\n            [\n              -121.8550448,\n              40.6736669\n            ],\n            [\n              -122.9860749,\n              40.4691133\n            ],\n            [\n              -121.8550448,\n              38.0720337\n            ],\n            [\n              -119.7007016,\n              35.484185\n            ],\n            [\n              -118.4080957,\n              34.9782649\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"62","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Platt, Logan 0009-0009-3390-8043","orcid":"https://orcid.org/0009-0009-3390-8043","contributorId":371426,"corporation":false,"usgs":true,"family":"Platt","given":"Logan","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weingarten, Mathew 0000-0002-1289-5935","orcid":"https://orcid.org/0000-0002-1289-5935","contributorId":371427,"corporation":false,"usgs":false,"family":"Weingarten","given":"Mathew","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":961808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961810,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyce, Scott 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961811,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274714,"text":"70274714 - 2026 - Quantitative mineral resource assessment of lithium pegmatite deposits in the northern Appalachian orogen, USA","interactions":[],"lastModifiedDate":"2026-04-20T15:29:50.579796","indexId":"70274714","displayToPublicDate":"2026-04-18T10:21:41","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative mineral resource assessment of lithium pegmatite deposits in the northern Appalachian orogen, USA","docAbstract":"<p><span>Lithium demand is projected to increase more than 48 times by 2040 due to electric vehicle production and other energy storage needs. Most lithium production is outside of the USA, thereby increasing supply chain vulnerability. The combined end use importance and heightened supply risk of lithium make this lightest metallic element a critical commodity to the USA. To mitigate this supply risk, the US Geological Survey is actively assessing lithium deposits in the USA. Herein, we detail an assessment for lithium-mineralized pegmatites in the US northern Appalachian Mountains. Permissive tracts were generated by cross-referencing tectonic and geologic maps and mineral occurrence data with mappable criteria derived from generalized and region-specific lithium pegmatite ore deposit models; tracts were then ranked as having high, medium, or low permissibility. Available geophysical and geochemical data were found to be of minimal utility for this deposit type at the scale of the assessment. The number of undiscovered deposits were estimated and integrated into probabilistic simulations, which included an expanded and updated global grade and tonnage model of pegmatite-hosted lithium ore. The estimated total amount of undiscovered resources for the northern Appalachian Orogen has a median value of 1,410,000 metric tons of Li</span><sub>2</sub><span>O when considering moderate correlation across sub-regions. At a confidence level of 90%, a resource of at least 90,000 metric tons of Li</span><sub>2</sub><span>O remains undiscovered, and at a 10% confidence level, a resource of as much as 7,380,000 metric tons Li</span><sub>2</sub><span>O remains undiscovered. After applying an up-to-date economic filter to convert median contained lithium to recoverable material, a correlated total of 900,000 metric tons of Li</span><sub>2</sub><span>O may be economically extractable, equating to enough Li</span><sub>2</sub><span>O to provide the current annual US lithium supply deficit (presently obtained through net imports) for 127&nbsp;years at 2025 rates of apparent consumption. This period of provision will inevitably shorten with projected increasing consumption rates, emphasizing that further research could be completed to better delineate regions of high lithium resource potential and support exploration and domestic production.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11053-026-10652-9","usgsCitation":"Wintzer, N.E., Holm-Denoma, C., Poletti, J.E., McCaffrey, D.M., Mordensky, S.P., Tharalson, E., and Cronkite-Ratcliff, C., 2026, Quantitative mineral resource assessment of lithium pegmatite deposits in the northern Appalachian orogen, USA: Natural Resources Research, https://doi.org/10.1007/s11053-026-10652-9.","ipdsId":"IP-175117","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":503437,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-026-10652-9","text":"Publisher Index Page"},{"id":503246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont","otherGeospatial":"northern Appalachian Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.9413823,\n              44.8462936\n            ],\n            [\n              -67.7291768,\n              45.7565985\n            ],\n            [\n              -67.89799,\n              47.13934\n            ],\n            [\n              -69.1359528,\n              47.4573548\n            ],\n            [\n              -71.1992241,\n              45.3230589\n            ],\n            [\n    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First","noUsgsAuthors":false,"publicationDate":"2026-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wintzer, Niki E. 0000-0003-3085-435X nwintzer@usgs.gov","orcid":"https://orcid.org/0000-0003-3085-435X","contributorId":5297,"corporation":false,"usgs":true,"family":"Wintzer","given":"Niki","email":"nwintzer@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":958771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":958772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poletti, Jacob Evan 0000-0002-3091-1249","orcid":"https://orcid.org/0000-0002-3091-1249","contributorId":345933,"corporation":false,"usgs":true,"family":"Poletti","given":"Jacob","email":"","middleInitial":"Evan","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":958773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCaffrey, Dalton M. 0000-0002-2539-4865","orcid":"https://orcid.org/0000-0002-2539-4865","contributorId":298840,"corporation":false,"usgs":true,"family":"McCaffrey","given":"Dalton","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":958774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mordensky, Stanley Paul 0000-0001-8607-303X","orcid":"https://orcid.org/0000-0001-8607-303X","contributorId":292014,"corporation":false,"usgs":true,"family":"Mordensky","given":"Stanley","email":"","middleInitial":"Paul","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":958775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tharalson, Erik Roger 0000-0002-3892-4458","orcid":"https://orcid.org/0000-0002-3892-4458","contributorId":353883,"corporation":false,"usgs":true,"family":"Tharalson","given":"Erik Roger","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":958776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cronkite-Ratcliff, Collin 0000-0001-5485-3832 ccronkite-ratcliff@usgs.gov","orcid":"https://orcid.org/0000-0001-5485-3832","contributorId":203951,"corporation":false,"usgs":true,"family":"Cronkite-Ratcliff","given":"Collin","email":"ccronkite-ratcliff@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":958777,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70275185,"text":"70275185 - 2026 - The role of groundwater in contributing to surface water salinization in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2026-04-21T15:13:37.377649","indexId":"70275185","displayToPublicDate":"2026-04-18T08:04:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The role of groundwater in contributing to surface water salinization in the Upper Colorado River Basin","docAbstract":"Freshwater salinization impacts the availability of water for human use and ecosystem needs worldwide. It has been estimated that total dissolved solids (TDS) in the Colorado River Basin cause $350 million/year in damages and substantial resources are devoted to reducing TDS loading to streams. This study describes the development and application of coupled watershed models that enable TDS source tracking through the subsurface and across the landscape at a seasonal timestep for 35 years in the Upper Colorado River Basin.  Results indicate that, on average, 75% of TDS loading to streams originates as baseflow, and 50% of loading is lagged in delivery by longer than one season.  Snowmelt was identified as a dominant process controlling the transport of lagged TDS to streams.  This approach informs when and where TDS mitigation efforts may be effective in a watershed that serves as a critical water supply for the southwestern United States.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL118834","usgsCitation":"Miller, M.P., Miller, O.L., Longley, P.C., Wise, D.R., McDonnell, M.C., Schmadel, N.M., and Alder, J.R., 2026, The role of groundwater in contributing to surface water salinization in the Upper Colorado River Basin: Geophysical Research Letters, v. 53, no. 8, e2025GL118834, 10 p., https://doi.org/10.1029/2025GL118834.","productDescription":"e2025GL118834, 10 p.","ipdsId":"IP-179871","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":503440,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl118834","text":"Publisher Index Page"},{"id":503269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.90060995927905,\n              42.82938512458236\n            ],\n            [\n              -110.90060995927905,\n              36.020335240877046\n            ],\n            [\n              -107.09503766746343,\n              36.020335240877046\n            ],\n            [\n              -107.09503766746343,\n              42.82938512458236\n            ],\n            [\n              -110.90060995927905,\n              42.82938512458236\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"53","issue":"8","noUsgsAuthors":false,"publicationDate":"2026-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":219283,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Olivia L. 0000-0002-8846-7048","orcid":"https://orcid.org/0000-0002-8846-7048","contributorId":216556,"corporation":false,"usgs":true,"family":"Miller","given":"Olivia","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Longley, Patrick C. 0000-0001-8767-5577","orcid":"https://orcid.org/0000-0001-8767-5577","contributorId":268147,"corporation":false,"usgs":true,"family":"Longley","given":"Patrick","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wise, Daniel R. 0000-0002-1215-9612","orcid":"https://orcid.org/0000-0002-1215-9612","contributorId":217259,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDonnell, Morgan C. 0000-0001-6946-9286","orcid":"https://orcid.org/0000-0001-6946-9286","contributorId":359926,"corporation":false,"usgs":false,"family":"McDonnell","given":"Morgan","middleInitial":"C.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":959905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmadel, Noah M. 0000-0002-2046-1694","orcid":"https://orcid.org/0000-0002-2046-1694","contributorId":219105,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":959906,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":959907,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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