{"pageNumber":"60","pageRowStart":"1475","pageSize":"25","recordCount":185143,"records":[{"id":70267466,"text":"dr1210 - 2025 - A synthesis engine for constructing geologic maps of the United States","interactions":[],"lastModifiedDate":"2026-02-03T15:16:36.738393","indexId":"dr1210","displayToPublicDate":"2025-08-27T13:20:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1210","displayTitle":"A Synthesis Engine for Constructing Geologic Maps of the United States","title":"A synthesis engine for constructing geologic maps of the United States","docAbstract":"<p>The geologic history of the United States is cataloged in thousands of geologic maps produced during many decades. However, the disparate nature of these individual maps makes it challenging to assess resources, research geologic histories, or characterize natural hazards holistically across the Nation. The U.S. House of Representatives 2020 appropriations bill for the U.S. Department of the Interior (H.R. 116-100) requires the U.S. Geological Survey to “bring together detailed national and continental-resolution [two-dimensional] and [three-dimensional] information produced throughout the Survey and by [F]ederal and [S]tate partners.” In response to this directive, this report presents a compilation and synthesis of geologic maps across the United States in the form of a relational database. The synthesis database includes thematic maps that synthesize the Nation’s geology, and retains the original input maps as well as linkages to standardized vocabularies to aid the discoverability of geologic information. Specifically, the synthesis database is targeted toward producing four National-resolution maps for the conterminous United States: Quaternary geology, the geology at the Earth’s surface, pre-Quaternary geology, and Precambrian geology. In addition, the synthesis database includes the infrastructure necessary to expand to additional resolutions in the future.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/dr1210","collaboration":"Prepared in cooperation with the Association of American State Geologists","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Johnstone, S.A., Colgan, J.P., and Roe, W.P., 2025, A synthesis engine for constructing geologic maps of the United States: U.S. Geological Survey Data Report 1210, 36 p., https://doi.org/10.3133/dr1210.","productDescription":"Report: vi, 36 p.; Table; 4 Data Releases","onlineOnly":"Y","ipdsId":"IP-166460","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":486554,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1DC4XFG","text":"USGS data release","linkHelpText":"Geospatial 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href=\"https://www.usgs.gov/centers/geosciences-and-environmental-change-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/geosciences-and-environmental-change-science-center/\">Geosciences and Environmental Change Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 980<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction&nbsp;&nbsp;</li><li>Goals and Background</li><li>Data Structure</li><li>Populating the Synthesis Database</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Example Queries for Working with the Map Synthesis Database</li></ul>","publishedDate":"2025-08-27","noUsgsAuthors":false,"publicationDate":"2025-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnstone, Samuel 0000-0002-3945-2499","orcid":"https://orcid.org/0000-0002-3945-2499","contributorId":207545,"corporation":false,"usgs":true,"family":"Johnstone","given":"Samuel","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":938322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":938323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roe, Warren P. 0000-0001-9667-1906","orcid":"https://orcid.org/0000-0001-9667-1906","contributorId":355871,"corporation":false,"usgs":true,"family":"Roe","given":"Warren P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":938324,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70270434,"text":"sir20255069 - 2025 - Streamflow extents and hydraulic characteristics of Meadow Valley Wash at Stuart Ranch, near Rox, Nevada","interactions":[],"lastModifiedDate":"2026-02-03T15:15:45.219139","indexId":"sir20255069","displayToPublicDate":"2025-08-27T11:06:10","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5069","displayTitle":"Streamflow Extents and Hydraulic Characteristics of Meadow Valley Wash at Stuart Ranch, near Rox, Nevada","title":"Streamflow extents and hydraulic characteristics of Meadow Valley Wash at Stuart Ranch, near Rox, Nevada","docAbstract":"<p>The former Stuart Ranch, now managed by the Bureau of Land Management, is transected by Meadow Valley Wash, where 4,600 feet of perennial stream and adjacent riparian vegetation provide critical habitat for several wildlife and aquatic species protected under the Endangered Species Act. The stream has been altered by prior construction of irrigation diversions, gravel mining, and removal of riparian vegetation, resulting in the loss of instream and riparian vegetation and disconnected floodplains. The stream alteration has also resulted in the loss of native species and increased non-native invasive species and changes in ecological cycles. With the goal of improving habitat extent and quality for native threatened and endangered species, the Bureau of Land Management (BLM) is considering establishing perennial streams through braided side channels by constructing beaver dam analogs, excavating side channel connectors, and grading an irrigation reservoir berm on the floodplain. The U.S. Geological Survey (USGS) provided hydraulic modeling to assist the BLM in evaluating how possible restoration modifications could affect the extent of aquatic, riparian, and other habitat types. Three two-dimensional (2-D) hydraulic models were developed to simulate 2021 conditions (when most of the topographic data were collected), minor restoration modifications (one excavated side channel and a beaver dam analog), and major restoration modifications (three excavated side channels, a beaver dam analog, and an excavated and graded area to remove the irrigation reservoir) to determine streamflow-inundation extents and hydraulic characteristics (depth and velocity) for base flow and various flood (50-, 20-, 10-, 4-, 2-, and 1-percent annual exceedance probability [AEP]) scenarios. An average summer base flow of 0.92 cubic feet per second was estimated based on data from a USGS streamgage in the study area. The 50-, 20-, 10-, 4-, 2-, and 1-percent AEP streamflows were estimated based on a flood-frequency analysis of data from the streamgage. The base flow and AEP floods were combined with surveyed topographic data to create a 2-D unsteady hydraulic model. The hydraulic model was used to simulate the base flow and flood-inundation extents and hydraulic characteristics under 2021 conditions and with two possible restoration modification scenarios. Under 2021 conditions, flow remains in a single channel until the most downstream end of the modeled reach, where flow then expands into slower velocity pools. During floods, streamflow begins to enter the side channels at the 50-percent flood, expands into the east floodplain at 20-percent flood, and flows in the irrigation reservoir at 4-percent flood. Compared to 2021 conditions with no terrain modification, base flow under the possible restoration modifications enters and remains in the side channels, thus increasing the likelihood of expanding riparian habitat. Additionally, during floods under the major restoration modifications, streamflow expands into the modified terrain surrounding the irrigation reservoir at 10-percent AEP, as opposed to 4-percent AEP under 2021 conditions. For all modeled streamflow scenarios, streamflow is deepest in the center of the main and side channels, as well as the downstream pooled areas. Streamflow is fastest in the narrow sections of the channels, especially in the upper 1,220 feet of the modeled reach.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255069","collaboration":"Prepared in cooperation with Bureau of Land Management","programNote":"Water Resources Mission Area","usgsCitation":"Dye, L.A., Morris, C.M., and Childres, H.K., 2025, Streamflow extents and hydraulic characteristics of Meadow Valley Wash at Stuart Ranch, near Rox, Nevada: U.S. Geological Survey Scientific Investigations Report 2025–5069, 24 p., https://doi.org/10.3133/sir20255069.","productDescription":"Report: vi, 24 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-124818","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":494320,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5069/images"},{"id":494319,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96HQ6F7","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial data, flood-frequency analysis, and surface-water model archive for streamflow extents and hydraulic characteristics of Meadow Valley Wash at Stuart Ranch, near Rox, Nevada"},{"id":494317,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5069/sir20255069.pdf","text":"Report","size":"11.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5069"},{"id":494316,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5069/coverthb.jpg"},{"id":494318,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255069/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5069"},{"id":494321,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5069/sir20255069.XML"}],"country":"United States","state":"Nevada","city":"Rox","otherGeospatial":"Meadow Valley Wash at Stuart Ranch","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.6611,\n              36.84\n            ],\n            [\n              -114.6611,\n              36.8278\n            ],\n            [\n              -114.65,\n              36.8278\n            ],\n            [\n              -114.65,\n              36.84\n            ],\n            [\n              -114.6611,\n              36.84\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nv@usgs.gov\" data-mce-href=\"mailto:dc_nv@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/nevada-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/nevada-water-science-center\">Nevada Water Science Center</a><br>U.S. Geological Survey<br>2730 N. Deer Run Road, Suite 3<br>Carson City, Nevada 89701</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of Study Area</li><li>Previous Studies</li><li>Simulation of Streamflow Extents and Hydraulic Characteristics</li><li>Results</li><li>Discussion</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishedDate":"2025-08-27","noUsgsAuthors":false,"publicationDate":"2025-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Dye, Laura A. 0000-0002-1311-9815","orcid":"https://orcid.org/0000-0002-1311-9815","contributorId":359918,"corporation":false,"usgs":false,"family":"Dye","given":"Laura","middleInitial":"A.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":946406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, Christopher M. 0000-0002-0477-7605 cmmorris@usgs.gov","orcid":"https://orcid.org/0000-0002-0477-7605","contributorId":243176,"corporation":false,"usgs":true,"family":"Morris","given":"Christopher M.","email":"cmmorris@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":946407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Childres, Hampton K. 0000-0002-8712-0990","orcid":"https://orcid.org/0000-0002-8712-0990","contributorId":290578,"corporation":false,"usgs":true,"family":"Childres","given":"Hampton","email":"","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946408,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70271440,"text":"70271440 - 2025 - A 21st Century butterfly net: Using eDNA to detect the imperiled Dakota skipper","interactions":[],"lastModifiedDate":"2025-09-15T14:22:12.606323","indexId":"70271440","displayToPublicDate":"2025-08-27T09:16:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A 21st Century butterfly net: Using eDNA to detect the imperiled Dakota skipper","docAbstract":"<p><span>The development of environmental DNA (eDNA) methods for terrestrial arthropods could be transformative for the difficult task of assessing the status of species of conservation concern. The primary goal of this study was to investigate the efficacy of detecting the Dakota skipper (</span><i>Hesperia dacotae</i><span>) from its DNA left behind on inflorescences as a means of inferring species presence. We developed and tested a novel qPCR assay and validated the assay in both controlled and field contexts. Using captive animals at the Minnesota Zoo, we found that the number of skippers in an enclosure increased the probability of skipper DNA detection. In the field, Dakota skipper DNA was found on 14% (11 of 81) of inflorescences collected. All detections were from narrowleaf purple coneflower (</span><i>Echinacea angustifolia</i><span>). Known visitation of an inflorescence by Dakota skipper prior to sample collection was not a strong predictor of either skipper DNA presence or amount of DNA, but skipper eDNA was detected at 60% (3 of 5) of sites where skippers were observed and 33% (1 of 3) of sites where skippers were not observed. These findings demonstrate successful application of a targeted-species approach to eDNA sampling for butterflies in the field. Taken together, our findings indicate that this method could provide a novel and useful source of data for assessing occupancy trends of butterflies without capturing or even observing them in the wild.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2025.e03815","usgsCitation":"Pilliod, D.S., Grossklaus, M.R., Kageyama, S.A., Nordmeyer, C., Reinisch, J., Runquist, E., and Spear, S.F., 2025, A 21st Century butterfly net: Using eDNA to detect the imperiled Dakota skipper: Global Ecology and Conservation, v. 62, e03815, 12 p., https://doi.org/10.1016/j.gecco.2025.e03815.","productDescription":"e03815, 12 p.","ipdsId":"IP-180064","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":497023,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13JBGIU","text":"USGS data release","linkHelpText":"Detection of Dakota skipper eDNA from inflorescences in the Upper Midwest, June and July 2022 (ver. 1.1, November 2025)"},{"id":495733,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2025.e03815","text":"Publisher Index Page"},{"id":495517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United states","state":"Minnesota, North Dakota, South Dakota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.4255937792456,\n              43.75282749088453\n            ],\n            [\n              -95.82307671174901,\n              44.537984912524394\n            ],\n            [\n              -95.85210368026306,\n              46.61850738417658\n            ],\n            [\n              -102.74334512161774,\n              48.947800618009666\n            ],\n            [\n              -103.87685016438193,\n              48.559342537992194\n            ],\n            [\n              -103.84723638965521,\n              46.63167447613088\n            ],\n            [\n              -101.82183750965085,\n              46.16543147358968\n            ],\n            [\n              -99.3119300920362,\n              45.59635742673848\n            ],\n            [\n              -96.4255937792456,\n              43.75282749088453\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":216342,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":948761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grossklaus, Michaela Ray 0009-0002-0890-6520","orcid":"https://orcid.org/0009-0002-0890-6520","contributorId":342051,"corporation":false,"usgs":true,"family":"Grossklaus","given":"Michaela","email":"","middleInitial":"Ray","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":948762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kageyama, Stacie A. 0000-0003-4185-3627 skageyama@usgs.gov","orcid":"https://orcid.org/0000-0003-4185-3627","contributorId":195991,"corporation":false,"usgs":true,"family":"Kageyama","given":"Stacie","email":"skageyama@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":948763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordmeyer, Cale 0000-0002-8826-251X","orcid":"https://orcid.org/0000-0002-8826-251X","contributorId":361407,"corporation":false,"usgs":false,"family":"Nordmeyer","given":"Cale","affiliations":[{"id":79104,"text":"Minnesota Zoo","active":true,"usgs":false}],"preferred":false,"id":948764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reinisch, Jerry","contributorId":361408,"corporation":false,"usgs":false,"family":"Reinisch","given":"Jerry","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":948765,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Runquist, Erik","contributorId":335441,"corporation":false,"usgs":false,"family":"Runquist","given":"Erik","affiliations":[{"id":79104,"text":"Minnesota Zoo","active":true,"usgs":false}],"preferred":false,"id":948766,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Spear, Stephen Frank 0000-0001-8351-9382","orcid":"https://orcid.org/0000-0001-8351-9382","contributorId":293162,"corporation":false,"usgs":true,"family":"Spear","given":"Stephen","email":"","middleInitial":"Frank","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":948767,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70271730,"text":"70271730 - 2025 - New constraints on location and timing of the Great Lakes tectonic zone, central Upper Peninsula, Michigan, USA","interactions":[],"lastModifiedDate":"2025-09-22T14:18:30.472971","indexId":"70271730","displayToPublicDate":"2025-08-27T09:14:46","publicationYear":"2025","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":"New constraints on location and timing of the Great Lakes tectonic zone, central Upper Peninsula, Michigan, USA","docAbstract":"<p><span>The Great Lakes tectonic zone (GLTZ) forms the boundary between the Wawa–Abitibi and Minnesota River Valley subprovinces within the Archean Superior Province. The GLTZ is concealed for all of its 1100&nbsp;km length, except for a segment in the central Upper Peninsula of Michigan. There, it is exposed as a northwest-striking mylonite zone along a 11&nbsp;km segment, extending to the onlap of Paleozoic rocks to the east. Farther east, its location has been unknown. Here, we use aeromagnetic and gravity data to develop interpretations of the expression of the GLTZ and to define its extent under cover. Aeromagnetic gradients over the mylonite zone are interpreted to be produced by structurally juxtaposed rocks with varying magnetizations. Gravity data show a regional gradient along the GLTZ, produced by the juxtaposition of a dense greenstone belt on the north against lower-density gneisses and granites on the south. The GLTZ is interpreted to extend ∼55&nbsp;km under cover to the east. The GLTZ is terminated on the east by the buried eastern arm of the ca. 1100 Ma Midcontinent Rift. An undeformed granitic dike that cuts the mylonitic foliation produces a U–Pb apatite age of 2523&nbsp;±&nbsp;33 Ma, implying no major post-Archean shearing occurred, and is at odds with previous interpretations of major Proterozoic reactivation. A granite intrusion in the Minnesota River Valley subprovince produces a Pb–Pb zircon age of 2606.9&nbsp;±&nbsp;3.6/7.4 Ma. This suggests that magmatism related to the Sacred Heart orogeny, previously known in Minnesota, extended to Michigan.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjes-2025-0021","usgsCitation":"Drenth, B.J., Souders, A., Cannon, W.F., and Thompson, J.M., 2025, New constraints on location and timing of the Great Lakes tectonic zone, central Upper Peninsula, Michigan, USA: Canadian Journal of Earth Sciences, v. 62, no. 9, p. 1459-1473, https://doi.org/10.1139/cjes-2025-0021.","productDescription":"15 p.","startPage":"1459","endPage":"1473","ipdsId":"IP-171166","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":495838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"central Upper Peninsula","volume":"62","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-07-09","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":949212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":949213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannon, William F. 0000-0002-2699-8118","orcid":"https://orcid.org/0000-0002-2699-8118","contributorId":201972,"corporation":false,"usgs":true,"family":"Cannon","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":949214,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949215,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273135,"text":"70273135 - 2025 - Desert ecosystems shape diversification in glossy snakes (genus Arizona) requiring a re-alignment of evolutionary and conservation units","interactions":[],"lastModifiedDate":"2025-12-16T15:09:11.907324","indexId":"70273135","displayToPublicDate":"2025-08-27T08:52:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2779,"text":"Molecular Phylogenetics and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Desert ecosystems shape diversification in glossy snakes (genus <i>Arizona</i>) requiring a re-alignment of evolutionary and conservation units","title":"Desert ecosystems shape diversification in glossy snakes (genus Arizona) requiring a re-alignment of evolutionary and conservation units","docAbstract":"<p><span>Subspecies are often targets for conservation, yet many lack the genetic data necessary to validate their status as distinctive evolutionary lineages. In 2016, conservationists faced this issue when designating the California glossy snake,&nbsp;</span><i>Arizona elegans occidentalis</i><span>, as a Species of Special Concern in California, a decision prompted by population declines and habitat loss but absent of genetic information about its evolutionary integrity. To address this knowledge gap, we collected genomic and mitochondrial data from a rangewide sample of the&nbsp;</span><i>Arizona elegans</i><span>&nbsp;complex (</span><i>n</i><span>&nbsp;=&nbsp;257) and characterized genetic structure at varying spatial scales. We confirmed an east–west phyletic division within the&nbsp;</span><i>A. elegans</i><span>&nbsp;complex that correlates with an ecotone between the Sonoran and Chihuahuan Deserts and pinpoint the separation to a ∼20&nbsp;km area in southeastern Arizona, USA. Individuals recognized as&nbsp;</span><i>A. e. occidentalis</i><span>&nbsp;do not form a genetically cohesive unit within a more inclusive western clade that is sister to the endemic&nbsp;</span><i>Arizona pacata</i><span>&nbsp;in Baja California, México. We synonymize four subspecies circumscribed by the western clade and recognize a new species&nbsp;</span><i>Arizona occidentalis</i><span>&nbsp;to re-align the taxonomy with the phylogeographic structure. Most of the diversity within&nbsp;</span><i>A. occidentalis</i><span>&nbsp;occurs in California, with three major lineages corresponding separate desert biomes. We revise the conservation units within&nbsp;</span><i>A. occidentalis</i><span>&nbsp;to mirror these lineages and address concerns regarding habitat loss in transitional environments along the western edge of its range. This work underscores the importance of aligning taxonomy, evolutionary identity, and management units to design the most effective conservation strategies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ympev.2025.108441","usgsCitation":"Wood, D., Richmond, J.Q., Westphal, M.F., Hollingsworth, B.D., Fisher, R.D., and Vandergast, A.G., 2025, Desert ecosystems shape diversification in glossy snakes (genus Arizona) requiring a re-alignment of evolutionary and conservation units: Molecular Phylogenetics and Evolution, v. 213, 108441, 15 p., https://doi.org/10.1016/j.ympev.2025.108441.","productDescription":"108441, 15 p.","ipdsId":"IP-175218","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498287,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ympev.2025.108441","text":"Publisher Index Page"},{"id":497565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.28258728665597,\n              40.693035314631345\n            ],\n            [\n              -119.78832300902783,\n              31.602553781844435\n            ],\n            [\n              -111.36681184455207,\n              22.61258270236084\n            ],\n            [\n              -97.05757848026627,\n              22.24916886918969\n            ],\n            [\n              -94.40812045478627,\n              32.37973867254225\n            ],\n            [\n              -95.39342062000813,\n              40.44807423817957\n            ],\n            [\n              -125.28258728665597,\n              40.693035314631345\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"213","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Dustin 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":195223,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","affiliations":[],"preferred":true,"id":952412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":952413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westphal, Michael F.","contributorId":364262,"corporation":false,"usgs":false,"family":"Westphal","given":"Michael","middleInitial":"F.","affiliations":[{"id":37086,"text":"U.S. Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":952414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hollingsworth, Bradford D.","contributorId":364265,"corporation":false,"usgs":false,"family":"Hollingsworth","given":"Bradford","middleInitial":"D.","affiliations":[{"id":16175,"text":"San Diego Natural History Museum","active":true,"usgs":false}],"preferred":false,"id":952415,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert D. 0000-0002-2956-3240 rdfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":3913,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rdfisher@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":952416,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":952417,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70271410,"text":"70271410 - 2025 - Contribution of traffic emissions to PM2.5 concentrations at bus stops in Denver, Colorado","interactions":[],"lastModifiedDate":"2025-09-12T15:19:51.803063","indexId":"70271410","displayToPublicDate":"2025-08-27T08:09:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3504,"text":"Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Contribution of traffic emissions to PM2.5 concentrations at bus stops in Denver, Colorado","docAbstract":"<p><span>Individuals are routinely exposed to traffic-related air pollution on their commutes, which has significant health impacts. Mitigating exposure to traffic-related pollution is a key urban sustainability concern. In Denver, Colorado, low-income Americans are more likely to rely on buses and spend time waiting at bus stops. Evaluating the contribution of traffic emissions at bus stops can provide important information on risks experienced by these populations. We measured PM</span><sub>2.5</sub><span>&nbsp;constituents at eight bus stops and one background reference site in Denver, in the summer of 2023. Source profiles, including gasoline emissions from traffic, were estimated using Positive Matrix Factorization (PMF) analysis of PM</span><sub>2.5</sub><span>&nbsp;constituents collected at a Chemical Speciation Network site in our study region. The contributions of the different sources at each bus stop were estimated by regressing the vector of species concentrations at each site (dependent variable) on the source-profile matrix from the PMF analysis (independent variables). Traffic-related emissions (~2.5–6.6 μg/m</span><sup>3</sup><span>) and secondary organics (~3–5 μg/m</span><sup>3</sup><span>) contributed to PM</span><sub>2.5</sub><span>&nbsp;at the bus stops in our dataset. The highest traffic-related emissions-derived PM</span><sub>2.5</sub><span>&nbsp;concentrations were observed at bus stops near local sources: a gas station and a car wash. The contribution of traffic-related emissions was lower at the background site (~1 μg/m</span><sup>3</sup><span>).</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/su17177707","usgsCitation":"deSouza, P., Hopke, P., L'Orange, C., Ibsen, P.C., Green, C., Graeber, B., Cicione, B., Mekonnen, R., Purushothama, S., Kinney, P., and Volckens, J., 2025, Contribution of traffic emissions to PM2.5 concentrations at bus stops in Denver, Colorado: Sustainability, v. 17, no. 17, 7707, 14 p., https://doi.org/10.3390/su17177707.","productDescription":"7707, 14 p.","ipdsId":"IP-176935","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":495724,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/su17177707","text":"Publisher Index Page"},{"id":495442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Denver","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.32990609528034,\n              39.95761559533625\n            ],\n            [\n              -105.32990609528034,\n              39.506686432213314\n            ],\n            [\n              -104.5591800032328,\n              39.506686432213314\n            ],\n            [\n              -104.5591800032328,\n              39.95761559533625\n            ],\n            [\n              -105.32990609528034,\n              39.95761559533625\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"17","noUsgsAuthors":false,"publicationDate":"2025-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"deSouza, 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Denver","active":true,"usgs":false}],"preferred":false,"id":948633,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cicione, Brendan","contributorId":361327,"corporation":false,"usgs":false,"family":"Cicione","given":"Brendan","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":948634,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mekonnen, Ruth","contributorId":361328,"corporation":false,"usgs":false,"family":"Mekonnen","given":"Ruth","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":948635,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Purushothama, Saadhana","contributorId":361329,"corporation":false,"usgs":false,"family":"Purushothama","given":"Saadhana","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":948636,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kinney, Patrick","contributorId":353314,"corporation":false,"usgs":false,"family":"Kinney","given":"Patrick","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":948637,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Volckens, John","contributorId":361331,"corporation":false,"usgs":false,"family":"Volckens","given":"John","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":948638,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70271408,"text":"70271408 - 2025 - High-resolution multi-pollutant mapping in Denver, Colorado","interactions":[],"lastModifiedDate":"2025-09-12T15:00:52.282043","indexId":"70271408","displayToPublicDate":"2025-08-27T07:54:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22349,"text":"Atmospheric Environment X","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution multi-pollutant mapping in Denver, Colorado","docAbstract":"<p><span>Characterizing traffic-related air pollutants (TRAPs), which significantly impact health, and greenhouse gases (GHGs) can be challenging in urban environments. Mobile monitoring has the potential to capture the spatial distribution of these pollutants. We present results from a campaign using the Denver Mobile Monitoring Laboratory (DMML) in the summer of 2023 when we measured ultrafine particles (UFPs), black carbon (BC), ozone (O</span><sub>3</sub><span>), methane (CH</span><sub>4</sub><span>)</span><sub>,</sub><span>&nbsp;and carbon dioxide (CO</span><sub>2</sub><span>) concentrations in Denver, CO. Despite our campaign being brief, we obtained several interesting results. We observed elevated UFP and BC concentrations on major roads. In contrast, O</span><sub>3</sub><span>&nbsp;concentrations were higher on neighborhood streets and roads and in the industrial neighborhood of Commerce City. We consistently observed elevated CH</span><sub>4</sub><span>&nbsp;concentrations (&gt;2.5&nbsp;ppm) on highway I-70, suggesting the presence of a previously unknown major source of CH</span><sub>4</sub><span>. The CH</span><sub>4</sub><span>&nbsp;concentrations measured in our campaign did not align with those from an overlapping aerial campaign, suggesting that mobile monitoring is crucial to capture important, potentially intermittent CH</span><sub>4</sub><span>&nbsp;hotspots in cities. We evaluated if trees mitigated pollution concentrations, as planting trees is a key policy initiative of the city of Denver. We observed significant negative associations between tree canopy coverage and UFPs, BC, and CH</span><sub>4</sub><span>, and a positive association with O</span><sub>3</sub><span>&nbsp;when using linear mixed-effects regression models. Our work highlights the importance of investigating the role of tree canopy coverage to mitigate TRAPs.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeaoa.2025.100364","usgsCitation":"deSouza, P., Crawford, B., Durant, J.L., Hudda, N., Ibsen, P.C., L'Orange, C., Jimenez, J., Graeber, B., Cicione, B., Mekonnen, R., Purushothama, S., Kahn, R., Kinney, P.L., and Volckens, J., 2025, High-resolution multi-pollutant mapping in Denver, Colorado: Atmospheric Environment X, v. 27, 100364, 10 p., https://doi.org/10.1016/j.aeaoa.2025.100364.","productDescription":"100364, 10 p.","ipdsId":"IP-177506","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":495723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aeaoa.2025.100364","text":"Publisher Index 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University","active":true,"usgs":false}],"preferred":false,"id":948616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudda, Neelakshi","contributorId":361324,"corporation":false,"usgs":false,"family":"Hudda","given":"Neelakshi","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":948617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":948618,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"L'Orange, 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,{"id":70270830,"text":"ofr20251043 - 2025 - A crosswalk of the 2015 World Terrestrial Ecosystems to the International Union for the Conservation of Nature Global Ecosystem Typology Framework","interactions":[],"lastModifiedDate":"2026-02-03T15:15:11.657303","indexId":"ofr20251043","displayToPublicDate":"2025-08-26T14:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1043","displayTitle":"A Crosswalk of the 2015 World Terrestrial Ecosystems to the International Union for the Conservation of Nature Global Ecosystem Typology Framework","title":"A crosswalk of the 2015 World Terrestrial Ecosystems to the International Union for the Conservation of Nature Global Ecosystem Typology Framework","docAbstract":"<p>To support ecosystem mapping and accounting applications, we aligned the 2015 U.S. Geological Survey/Esri/The Nature Conservancy-World Terrestrial Ecosystems (WTEs) with the International Union for Conservation of Nature Global Ecosystem Typology (GET) framework. This process, known as “crosswalking,” enabled the development of a global map of GET level 3 Ecosystem Functional Groups (EFGs) at a 250-meter spatial resolution. Crosswalking involved manually assigning 1,781 biogeographically stratified WTEs to their most probable EFG based on similarities in climate, terrain, vegetation, and geographic distribution. We compared attributes of the WTE dataset with summary characteristics of the EFGs. The resulting crosswalked global map of International Union for Conservation of Nature GET ecosystems is intended to be useful for standardizing ecosystem classification and reporting under frameworks such as the Kunming-Montreal Global Biodiversity Framework and the United Nations System of Environmental-Economic Accounting. We discuss key challenges in reconciling non-identical classifications, such as many-to-one relationships and variation in data quality.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251043","programNote":"National Land Imaging Program","usgsCitation":"Sides, K.B., Naji, N., Kremer, A., Burton, D., and Sayre, R., 2025, A crosswalk of the 2015 World Terrestrial Ecosystems to the International Union for the Conservation of Nature Global Ecosystem Typology Framework: U.S. Geological Survey Open-File Report 2025–1043, 10 p., https://doi.org/10.3133/ofr20251043.","productDescription":"Report: iv, 10 p.; 2 Appendixes","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-174837","costCenters":[{"id":86069,"text":"National Land Imaging","active":true,"usgs":true}],"links":[{"id":494756,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2025/1043/ofr20251043_appendix.csv","text":"Appendix","size":"215 KB","linkFileType":{"id":7,"text":"csv"},"description":"OFR 2025-1043 Appendix CSV","linkHelpText":"- A Crosswalk of the U.S. Geological Survey/Esri/The Nature Conservancy World Terrestrial Ecosystems to the International Union for the Conservation of Nature Global Ecosystem Typology (GET) Ecosystem Functional Groups in a CSV file"},{"id":494750,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1043/coverthb.jpg"},{"id":494755,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2025/1043/ofr20251043_appendix.xlsx","text":"Appendix","size":"70.4 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2025-1043 Appendix XLSX","linkHelpText":"- A Crosswalk of the U.S. Geological Survey/Esri/The Nature Conservancy World Terrestrial Ecosystems to the International Union for the Conservation of Nature Global Ecosystem Typology (GET) Ecosystem Functional Groups"},{"id":494754,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1043/images/"},{"id":494753,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1043/ofr20251043.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1043 XML"},{"id":494752,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251043/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1043 HTML"},{"id":494751,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1043/ofr20251043.pdf","text":"Report","size":"12.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1043 PDF"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/programs/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/programs/national-land-imaging-program\">National Land Imaging Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-08-26","noUsgsAuthors":false,"publicationDate":"2025-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Sides, Kelly B. 0000-0003-1107-3355","orcid":"https://orcid.org/0000-0003-1107-3355","contributorId":360508,"corporation":false,"usgs":true,"family":"Sides","given":"Kelly","middleInitial":"B.","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":947157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naji, Nadia 0000-0001-9039-1655","orcid":"https://orcid.org/0000-0001-9039-1655","contributorId":360509,"corporation":false,"usgs":false,"family":"Naji","given":"Nadia","affiliations":[],"preferred":false,"id":947158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kremer, Amber","contributorId":360510,"corporation":false,"usgs":false,"family":"Kremer","given":"Amber","affiliations":[{"id":86026,"text":"Group on Earth Observation Satellites","active":true,"usgs":false}],"preferred":false,"id":947159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burton, Devon","contributorId":213644,"corporation":false,"usgs":false,"family":"Burton","given":"Devon","affiliations":[],"preferred":false,"id":947160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sayre, Roger 0000-0001-6703-7105","orcid":"https://orcid.org/0000-0001-6703-7105","contributorId":302356,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":947161,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273979,"text":"70273979 - 2025 - Suspended sediment and fisheries: An exploration of empirical relationships","interactions":[],"lastModifiedDate":"2026-02-20T18:21:30.798822","indexId":"70273979","displayToPublicDate":"2025-08-26T11:18:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Suspended sediment and fisheries: An exploration of empirical relationships","docAbstract":"<p>Objective: </p><p>Sediment has an important role in aquatic ecosystems, however, excess sediment can negatively impact fish and other aquatic life. Quantifying the response of aquatic life, particularly fish, to suspended sediment is important for natural resource managers tasked with developing sediment management guidelines to protect aquatic ecosystems. Our goal was to assess the ability of established, revised, and alternate severity of ill effect (SEV) dose-response models to predict the impact of suspended sediment on fish. </p><p>Methods: We synthesized existing literature to develop an expansive dataset that relates suspended sediment concentration and exposure duration to biological effects on fishes and assessed the predictive ability of established and revised SEV dose-response models. We investigated potential sources of variation in biological responses to suspended sediment dose and explored two alternative approaches for assessing the effects of suspended sediment on fish: 90th quantile SEV dose-response regression models and logistic SEV dose-response models. </p><p>Results: We found that both established and revised linear SEV dose-response models poorly quantify fish biological response to suspended sediment. Quantile SEV dose-response regressions also performed poorly. More promising are logistic dose-response models that identify sediment thresholds where major effects of sediment on fish can be expected to occur. We demonstrate that fish biological response to suspended sediment is modulated by sediment particle size, water temperature, and dissolved oxygen levels, suggesting additional environmental and biological variables to consider when evaluating the effects of suspended sediment on fish.&nbsp;</p><p>Conclusion: We contribute revised and novel empirically derived tools for predicting the effects of suspended sediment on fish and demonstrate how environmental variables and life stage may modulate fish biological response. Our work illustrates challenges associated with predictive modeling and some potential sources of variation. While empirical models integrating biological stress response to suspended sediment may help natural resource managers capture potential impacts of this stressor, a cautious approach that considers co-acting stressors may be most effective for sediment management that is protective of fish.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1093/najfmt/vqaf051","usgsCitation":"Pilkerton, A.M., McCullough, S.M., Patterson, L.S., Rahel, F., Walters, A.W., 2025, Suspended sediment and fisheries: An exploration of empirical relationships: North American Journal of Fisheries Management, v. 45, no. 5, p. 753-766, https://doi.org/10.1093/najfmt/vqaf051.","productDescription":"14 p.","startPage":"753","endPage":"766","ipdsId":"IP-174503","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Pilkerton, Ashleigh M.","contributorId":366479,"corporation":false,"usgs":false,"family":"Pilkerton","given":"Ashleigh","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":955978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCullough, Sara M.","contributorId":366480,"corporation":false,"usgs":false,"family":"McCullough","given":"Sara","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":955979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Lindsay S.","contributorId":366481,"corporation":false,"usgs":false,"family":"Patterson","given":"Lindsay","middleInitial":"S.","affiliations":[{"id":84900,"text":"Wyoming Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":955980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rahel, Frank J.","contributorId":337685,"corporation":false,"usgs":false,"family":"Rahel","given":"Frank J.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":955981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":955982,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70270851,"text":"70270851 - 2025 - Perceptions and management of chronic wasting disease in Washington State: A survey of cervid hunters","interactions":[],"lastModifiedDate":"2025-08-26T15:18:10.962517","indexId":"70270851","displayToPublicDate":"2025-08-26T10:16:45","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":22188,"text":"Cooperative Report","active":true,"publicationSubtype":{"id":2}},"title":"Perceptions and management of chronic wasting disease in Washington State: A survey of cervid hunters","docAbstract":"<p>Chronic wasting disease (CWD) is a fatal neurological disease caused by a misfolded protein, or prion, and is found in cervids (e.g., deer, elk, moose). It represents a serious threat to cervid populations and is one of the most important ungulate management issues facing state wildlife management agencies. Issues associated with CWD can affect many groups including hunters, tribal groups, biologists, rehabilitators, and farmers among others, and many can play an essential role in CWD management (e.g., hunters can help with cervid population control methods). In 2021, the Washington Department of Fish and Wildlife (WDFW) adopted the CWD Management Plan for Washington State, which specifically called for incorporating human dimensions of disease management with the ecological and epidemiological elements in CWD management. It is essential to develop a strong human dimensions component as management actions in other states have shown that when the public is not appropriately engaged, the probability of success is diminished. The study presented here sought to understand public preferences and perceptions of CWD and CWD management. We conducted 15 key constituent interviews and deployed a survey instrument in summer of 2023. (CWD was detected in Washington in July 2024, but this survey was completed ahead of that detection). The survey was emailed to 165,700 resident hunters in Washington State who had purchased a big game license since 2015 and the results presented below are based on interviews and completed survey responses from 7,403 individuals. </p>","language":"English","publisher":"Washington Department of Fish and Wildlife","usgsCitation":"Callahan, M., DeVivo, M., Kertson, B., Westacott, H., and Mcinturff, M.C., 2025, Perceptions and management of chronic wasting disease in Washington State: A survey of cervid hunters: Cooperative Report, 96 p.","productDescription":"96 p.","ipdsId":"IP-172939","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494877,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://wdfw.wa.gov/publications/02576"},{"id":494899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Hunter","contributorId":360564,"corporation":false,"usgs":false,"family":"Westacott","given":"Hunter","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":947216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mcinturff, Michael C 0000-0002-4858-1292","orcid":"https://orcid.org/0000-0002-4858-1292","contributorId":337290,"corporation":false,"usgs":true,"family":"Mcinturff","given":"Michael","email":"","middleInitial":"C","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":947217,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271368,"text":"70271368 - 2025 - Monitoring cyanobacteria temporal trends in a hypereutrophic lake using remote sensing: From multispectral to hyperspectral","interactions":[],"lastModifiedDate":"2025-09-10T15:04:42.257035","indexId":"70271368","displayToPublicDate":"2025-08-26T07:58:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5098,"text":"Remote Sensing Applications: Society and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring cyanobacteria temporal trends in a hypereutrophic lake using remote sensing: From multispectral to hyperspectral","docAbstract":"<p><span>Cyanobacterial harmful algal blooms (cyanoHABs) and associated cyanotoxins are a concern for inland waters. Due to the extensive spatial coverage and frequent availability of satellite images, multispectral remote sensing tools demonstrate utility for monitoring these blooms. The next frontier for remote sensing of cyanoHABs in inland waters is hyperspectral data. Recent and upcoming hyperspectral satellite missions using narrow wavelength imaging spectrometers could have a major impact on advancing our ability to detect, quantify, and characterize cyanobacterial blooms. This study compares multispectral and hyperspectral remote sensing capabilities and processing tools for monitoring cyanoHAB dynamics. We evaluated the temporal trends of cyanoHABs in Clear Lake, California, a hypereutrophic lake with diverse cyanobacteria genera based on 38 sampling events over a five-year monitoring period (2019–2023). We validated the Sentinel-3 Ocean and Land Color Instrument (multispectral) Cyanobacteria Index algorithm for Clear Lake using in situ cyanobacteria measurements, which complemented our field-based evaluation of cyanobacteria trends in Clear Lake. We then demonstrate the advantages of hyperspectral data from both in situ spectroradiometer measurements and full-lake hyperspectral satellite images. We apply the Spectral Mixture Analysis for Surveillance of HABs (SMASH) workflow, a Multiple Endmember Spectral Mixture Analysis (MESMA) algorithm, to the hyperspectral images to assess the potential of satellite imaging spectrometer data to identify cyanobacteria genera – the first study to test this tool outside its original study sites. We developed a Clear Lake-specific cyanobacteria spectral library using our field spectroradiometer measurements to improve SMASH performance in Clear Lake, which supports the continued development of this tool.</span></p>","language":"English","publisher":"Elseiver","doi":"10.1016/j.rsase.2025.101704","usgsCitation":"Sharp, S.L., Cortes, A., Forrest, A.L., Legleiter, C.J., Guild, L.S., Jin, Y., and Schladow, S.G., 2025, Monitoring cyanobacteria temporal trends in a hypereutrophic lake using remote sensing: From multispectral to hyperspectral: Remote Sensing Applications: Society and Environment, v. 39, 101704, 17 p., https://doi.org/10.1016/j.rsase.2025.101704.","productDescription":"101704, 17 p.","ipdsId":"IP-174209","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":500065,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/5t83t0rw","text":"External Repository"},{"id":495280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.96267888555795,\n              39.16571325270124\n            ],\n            [\n              -122.96267888555795,\n              38.914533541208556\n            ],\n            [\n              -122.60070817606311,\n              38.914533541208556\n            ],\n            [\n              -122.60070817606311,\n              39.16571325270124\n            ],\n            [\n              -122.96267888555795,\n              39.16571325270124\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sharp, Samantha L.","contributorId":361094,"corporation":false,"usgs":false,"family":"Sharp","given":"Samantha","middleInitial":"L.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":948227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cortes, Alicia","contributorId":293333,"corporation":false,"usgs":false,"family":"Cortes","given":"Alicia","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":true,"id":948228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forrest, Alexander L.","contributorId":361096,"corporation":false,"usgs":false,"family":"Forrest","given":"Alexander","middleInitial":"L.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":948229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":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":948230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guild, Liane S.","contributorId":361098,"corporation":false,"usgs":false,"family":"Guild","given":"Liane","middleInitial":"S.","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":948231,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jin, Yufang","contributorId":361101,"corporation":false,"usgs":false,"family":"Jin","given":"Yufang","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":948232,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schladow, S. Geoffrey","contributorId":361104,"corporation":false,"usgs":false,"family":"Schladow","given":"S.","middleInitial":"Geoffrey","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":948233,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70270953,"text":"70270953 - 2025 - Favorability mapping for hydrothermal power resource assessments of the Great Basin, USA","interactions":[],"lastModifiedDate":"2025-08-27T15:00:56.506199","indexId":"70270953","displayToPublicDate":"2025-08-26T07:55:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Favorability mapping for hydrothermal power resource assessments of the Great Basin, USA","docAbstract":"<p><span>The U.S. Geological Survey (USGS) is updating the 2008 assessment of conventional hydrothermal resources for the Great Basin in the western United States. As part of this work, the workflow for hydrothermal resource favorability maps is being modified to integrate modern data-driven machine learning (ML) methods. Improvements include: [1] using new and refined evidence layers (features); [2] using an order of magnitude more training sites (labeled examples); [3] utilizing simple but non-linear supervised ML algorithms; [4] representing positive training sites (wells with measured heat flow) with their ordinal value proportional to the magnitude of convective upflow (i.e., low, high, or very high convective signals instead of past strategies using positive-negative labels); [5] supplementing training sites with additional sites with low convective signals to represent diverse under-sampled areas where hydrothermal systems are unlikely to exist; [6] comparing with competing approaches; and [7] utilizing Monte Carlo cross-validation to estimate and evaluate prediction uncertainty.</span></p><p><span>For the new favorability map, over half of the power-producing systems (i.e., 15 of 28) are predicted in the 99th percentile of most favorable locations (i.e., the highest 1 % of favorability, corresponding to 1 % of the map area), exceeding the performance of past models that have explicitly used power plants as training sites. Previous favorability maps predicted approximately half of the power-producing hydrothermal systems above the 80th percentile (i.e., 20 % of the map area). For the new favorability map, 93 % of power-producing systems (i.e., 26 of 28) are above the 80th percentile. The power-producing systems for which the new model does not perform well are either comparatively small, low-temperature systems or systems also not predicted well by prior modeling approaches, suggesting that these few systems are unusual when compared with most power-producing systems. Focusing research on these known, seemingly different systems may yield new insights and subsequent discovery of new prospects.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2025.103450","usgsCitation":"Mordensky, S.P., Burns, E., Lipor, J., and DeAngelo, J., 2025, Favorability mapping for hydrothermal power resource assessments of the Great Basin, USA: Geothermics, v. 133, 103450, 24 p., https://doi.org/10.1016/j.geothermics.2025.103450.","productDescription":"103450, 24 p.","ipdsId":"IP-170174","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":495066,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geothermics.2025.103450","text":"Publisher Index Page"},{"id":494947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Utah","otherGeospatial":"Great Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.0202610934917,\n              42.55970962212865\n            ],\n            [\n              -119.8746500530377,\n              37.88790476539039\n            ],\n            [\n              -116.94256843416173,\n              36.91537025154052\n            ],\n            [\n              -113.73824592248651,\n              36.98857095813982\n            ],\n            [\n              -111.99293303262,\n              42.55970962212865\n            ],\n            [\n              -115.98687680320434,\n              42.23211305382921\n            ],\n            [\n              -118.48297767228134,\n              42.58841357223409\n            ],\n            [\n              -121.0202610934917,\n              42.55970962212865\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"133","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":947427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":225412,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":947428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lipor, John 0000-0002-0990-5493","orcid":"https://orcid.org/0000-0002-0990-5493","contributorId":292015,"corporation":false,"usgs":false,"family":"Lipor","given":"John","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":947429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":947430,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70271243,"text":"70271243 - 2025 - Ten lessons for controlling invasive species: Wisdom from the long-standing sea lamprey control program on the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2025-12-01T16:28:51.193336","indexId":"70271243","displayToPublicDate":"2025-08-26T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Ten lessons for controlling invasive species: Wisdom from the long-standing sea lamprey control program on the Laurentian Great Lakes","docAbstract":"<p><span>Sea lamprey (</span><i>Petromyzon marinus</i><span>) control in the Laurentian Great Lakes of North America is among the largest and most successful control programs of an invasive species anywhere on the planet. The effort began more than 75 years ago; it unites multiple nations, states, and provinces with the common goal of controlling this invasive species and protecting a valuable fishery. The science-based control program is administered by the Great Lakes Fishery Commission (GLFC), a body arising from a treaty signed by the United States and Canada. In the present article, we share 10 lessons learned from decades of successful sea lamprey control with the hopes of informing ongoing and future control programs targeting biological invasions. The 10 lessons we identified are to act boldly in times of crisis, to maintain the social license, to invest in capacity building, to break down the silos, to support fundamental science, to diversify your portfolio of control measures, to strive for continuous improvement, to confront the trade-off between information and action, to keep your foot on the gas, and to keep your eyes on the prize. The GLFC has long fostered a framework that uses some military strategy and verbiage that extends across the lessons (e.g., know your enemy). Other lessons are more nascent as the GLFC reenvisions its relationship with Indigenous peoples and governments in a path to reconciliation where two-eyed seeing is being embraced. Through adaptive management, horizon scanning methods, and embracing implementation science, the lessons learned about sea lamprey control will continue to evolve, which is itself a lesson. We submit that the lessons shared in the present article will help guide invasive species control programs spanning taxa, ecosystems, and regions.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biaf133","usgsCitation":"Cooke, S.J., Baker, C., Mida Hinderer, J.L., Siefkes, M., Barber, J., Steeves, T., Docker, M.F., Li, W., Wilkie, M., Jones, M.L., Robinson, K.F., Dunlop, E.S., Brant, C., Johnson, N.S., Mattes, W., Gaden, M., and Muir, A., 2025, Ten lessons for controlling invasive species: Wisdom from the long-standing sea lamprey control program on the Laurentian Great Lakes: BioScience, v. 75, no. 11, p. 985-996, https://doi.org/10.1093/biosci/biaf133.","productDescription":"12 p.","startPage":"985","endPage":"996","ipdsId":"IP-167789","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":495181,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biaf133","text":"Publisher Index Page"},{"id":495150,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Laurentian Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.4398126246065,\n              48.41315782132827\n            ],\n            [\n              -93.32054574366514,\n              46.56445459369006\n            ],\n            [\n              -88.28159283659653,\n              45.871535054394\n            ],\n            [\n              -88.95200300030923,\n              41.64607937044775\n            ],\n            [\n              -85.89578695033583,\n              41.543478827802\n            ],\n            [\n        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Steven J.","contributorId":360845,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":947770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Carrie","contributorId":360847,"corporation":false,"usgs":false,"family":"Baker","given":"Carrie","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":947771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mida Hinderer, Julie L.","contributorId":360850,"corporation":false,"usgs":false,"family":"Mida Hinderer","given":"Julie","middleInitial":"L.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":947772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siefkes, Michael","contributorId":360853,"corporation":false,"usgs":false,"family":"Siefkes","given":"Michael","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":947773,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barber, Jessica","contributorId":173133,"corporation":false,"usgs":false,"family":"Barber","given":"Jessica","affiliations":[{"id":6584,"text":"United States Fish and Wildlife Service–Bozeman Fish Technology","active":true,"usgs":false}],"preferred":false,"id":947774,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steeves, Todd B.","contributorId":62564,"corporation":false,"usgs":true,"family":"Steeves","given":"Todd B.","affiliations":[],"preferred":false,"id":947775,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Docker, Margaret F.","contributorId":195099,"corporation":false,"usgs":false,"family":"Docker","given":"Margaret","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":947776,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":947777,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilkie, Michael","contributorId":215419,"corporation":false,"usgs":false,"family":"Wilkie","given":"Michael","email":"","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":947778,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jones, Michael L.","contributorId":360860,"corporation":false,"usgs":false,"family":"Jones","given":"Michael","middleInitial":"L.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":947779,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947780,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dunlop, Erin S.","contributorId":146961,"corporation":false,"usgs":false,"family":"Dunlop","given":"Erin","email":"","middleInitial":"S.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":947781,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Brant, Cory 0000-0002-0919-1566","orcid":"https://orcid.org/0000-0002-0919-1566","contributorId":223422,"corporation":false,"usgs":true,"family":"Brant","given":"Cory","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947782,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947783,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mattes, William","contributorId":306053,"corporation":false,"usgs":false,"family":"Mattes","given":"William","email":"","affiliations":[{"id":16233,"text":"Great Lakes Indian Fish and Wildlife Commission","active":true,"usgs":false}],"preferred":false,"id":947927,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Gaden, Marc","contributorId":346957,"corporation":false,"usgs":false,"family":"Gaden","given":"Marc","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":947784,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Muir, Andrew M.","contributorId":103933,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew M.","affiliations":[],"preferred":false,"id":947785,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70270258,"text":"ofr20251047 - 2025 - Methodology and technical input for the 2025 U.S. List of Critical Minerals—Assessing the potential effects of mineral commodity supply chain disruptions on the U.S. economy","interactions":[],"lastModifiedDate":"2026-04-16T13:59:07.528586","indexId":"ofr20251047","displayToPublicDate":"2025-08-25T10:58:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1047","displayTitle":"Methodology and Technical Input for the 2025 U.S. List of Critical Minerals—Assessing the Potential Effects of Mineral Commodity Supply Chain Disruptions on the U.S. Economy","title":"Methodology and technical input for the 2025 U.S. List of Critical Minerals—Assessing the potential effects of mineral commodity supply chain disruptions on the U.S. economy","docAbstract":"<p>The Secretary of the Interior, acting through the Director of the U.S. Geological Survey, is tasked by section 7002 (“Mineral Security”) of title VII (“Critical Minerals”) of the Energy Act of 2020 (Public Law 116–260, December 27, 2020, 116th Congress) with reviewing and revising the methodology used to evaluate mineral commodity supply risk and the U.S. List of Critical Minerals (LCM) no less than every 3 years. Following two previous LCM assessments, this analysis represents the latest technical input for evaluating each mineral commodity’s supply risk and determining their recommended status on the LCM. We evaluated mineral commodity supply risk using two criteria: (1) an economic effects assessment that quantified the potential effects of various trade disruption scenarios on the U.S. economy, and (2) an examination of whether the mineral commodity’s U.S. supply chain relied on a sole domestic producer that represented a single point of failure. For the first criterion, postdisruption equilibrium quantities and prices for each mineral commodity were calculated based on their price elasticities of supply and demand and the availability of excess production capacity for each yearlong foreign trade disruption scenario. Subsequently, a nonlinear optimization routine was used with detailed economic input-output tables to estimate the potential economic effects on the U.S. economy of over 1,200 scenarios for 84 mineral commodities. After accounting for the probability of each scenario’s occurrence, the overall results are presented in terms of changes in U.S. gross domestic product (GDP) by individual industry and the economy overall. The results, which ranged from a net decrease in U.S. GDP of nearly $4.5 billion to a net increase of $33 million, largely reflect U.S. import dependency and world production concentration. Using the Jenks natural breaks optimization method, a statistical classification technique, we categorized the mineral commodities into several classes based on this overall risk quantification. Mineral commodities with annualized probability-weighted net decreases in U.S. GDP greater than $2 million were recommended for inclusion on the LCM. If a mineral commodity did not meet the threshold for inclusion on the LCM under the first criterion, its domestic supply chain was examined under the second criterion, which recommended a mineral commodity for inclusion on the LCM if there was only a single domestic producer. Ultimately, the two criteria resulted in the recommendation of the addition of six mineral commodities (in descending risk order, potash, silicon, copper, silver, rhenium, and lead) to and the removal of two mineral commodities (arsenic and tellurium) from the LCM. By using an economic effects assessment, the results of this analysis provide a prioritization that can also be compared directly against other risk analyses and the cost of various risk mitigation strategies.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251047","usgsCitation":"Nassar, N.T., Pineault, D., Allen, S.M., McCaffrey, D.M., Padilla, A.J., Brainard, J.L., Bayani, M., Shojaeddini, E., Ryter, J.W., Lincoln, S., and Alonso, E., 2025, Methodology and technical input for the 2025 U.S. List of Critical Minerals— Assessing the potential effects of mineral commodity supply chain disruptions on the U.S. economy (ver. 2.0, 2026): U.S. Geological Survey Open-File Report 2025–1047, 215 p., https://doi.org/10.3133/ofr20251047.","productDescription":"Report: vi, 215 p.; Data Release","numberOfPages":"215","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-180772","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":494012,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1047/ofr20251047.pdf","text":"Report","size":"3.17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1047 PDF"},{"id":494011,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1047/coverthb3.jpg"},{"id":494013,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251047/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1047 HTML"},{"id":494014,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1047/ofr20251047.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1047 XML"},{"id":494015,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1047/images/"},{"id":499034,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118752.htm","linkFileType":{"id":5,"text":"html"}},{"id":502425,"rank":8,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2025/1047/versionHist.txt","size":"3.01 KB","linkFileType":{"id":2,"text":"txt"}},{"id":494403,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14BRF29","text":"USGS data release","linkHelpText":"U.S. Geological Survey Minerals Yearbook data for select mineral commodities referenced in “U.S. Geological Survey Methodology and Technical Input for the 2025 U.S. List of Critical Minerals—Assessing the Potential Effects of Mineral Commodity Supply Chain Disruptions on the U.S. Economy”"}],"edition":"Version 1.0: August 2025; Version 2.0: April 2026","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/national-minerals-information-center\" data-mce-href=\"https://www.usgs.gov/centers/national-minerals-information-center\">National Minerals Information Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>988 National Center<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:nmicrecordsmgt@usgs.gov\" data-mce-href=\"mailto:nmicrecordsmgt@usgs.gov\">nmicrecordsmgt@usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Plain Language Summary</li><li>Introduction</li><li>Methods</li><li>Results and Discussion</li><li>Conclusions</li><li>References Cited</li><li>Appendix 1. World Production and Production Capacity Data</li><li>Appendix 2. U.S. Trade Data for Mineral Commodities</li><li>Appendix 3. Prices and Price Elasticities of Supply and Demand</li><li>Appendix 4. Mineral Commodity Consumption by Application and Associated Industry</li><li>Appendix 5. Python Implementation of the Economic Impacts Model</li><li>Appendix 6. Natural Breaks Classification</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-08-25","revisedDate":"2026-04-15","noUsgsAuthors":false,"plainLanguageSummary":"<p>To quantify the risks associated with potential disruptions and to recommend mineral commodities for inclusion on the updated U.S. List of Critical Minerals, as required by the Energy Act of 2020, the U.S. Geological Survey developed an economic model to estimate the potential effects of foreign trade disruptions of mineral commodities on the U.S. economy. The results of the study recommend the addition of six mineral commodities (in descending risk order, potash, silicon, copper, silver, rhenium, and lead) to and the removal of two mineral commodities (arsenic and tellurium) from the List of Critical Minerals. The analysis also provides a prioritization based on the results. The economic model has several advantages over previous assessments including the ability to directly compare the results against other economic risks and the costs of initiatives aimed at reducing the risks.</p>","publicationDate":"2025-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pineault, David 0009-0001-6801-4711","orcid":"https://orcid.org/0009-0001-6801-4711","contributorId":352217,"corporation":false,"usgs":true,"family":"Pineault","given":"David","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Sydney M. 0000-0001-6560-3548","orcid":"https://orcid.org/0000-0001-6560-3548","contributorId":359608,"corporation":false,"usgs":true,"family":"Allen","given":"Sydney","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945907,"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":945908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Padilla, Abraham J. 0000-0002-8371-533X","orcid":"https://orcid.org/0000-0002-8371-533X","contributorId":290608,"corporation":false,"usgs":true,"family":"Padilla","given":"Abraham","email":"","middleInitial":"J.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945909,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brainard, Jamie L. 0000-0002-1712-0821","orcid":"https://orcid.org/0000-0002-1712-0821","contributorId":201465,"corporation":false,"usgs":true,"family":"Brainard","given":"Jamie","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945910,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bayani, Mani 0000-0003-4730-3140","orcid":"https://orcid.org/0000-0003-4730-3140","contributorId":359609,"corporation":false,"usgs":true,"family":"Bayani","given":"Mani","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945911,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shojaeddini, Ensieh 0000-0001-9584-6399","orcid":"https://orcid.org/0000-0001-9584-6399","contributorId":346849,"corporation":false,"usgs":true,"family":"Shojaeddini","given":"Ensieh","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945912,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ryter, John W. 0000-0002-0343-7553","orcid":"https://orcid.org/0000-0002-0343-7553","contributorId":345416,"corporation":false,"usgs":true,"family":"Ryter","given":"John","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945913,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lincoln, Sara 0000-0002-0162-3563","orcid":"https://orcid.org/0000-0002-0162-3563","contributorId":359610,"corporation":false,"usgs":false,"family":"Lincoln","given":"Sara","affiliations":[{"id":85881,"text":"Contractor to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":945914,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Alonso, Elisa 0000-0002-0090-8284","orcid":"https://orcid.org/0000-0002-0090-8284","contributorId":223015,"corporation":false,"usgs":true,"family":"Alonso","given":"Elisa","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945915,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70269401,"text":"cir1560 - 2025 - U.S. Geological Survey science strategy to address white-nose syndrome and bat health in 2025–2029","interactions":[],"lastModifiedDate":"2026-02-03T15:13:59.882951","indexId":"cir1560","displayToPublicDate":"2025-08-25T09:50:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1560","displayTitle":"U.S. Geological Survey Science Strategy To Address White-Nose Syndrome and Bat Health in 2025–2029","title":"U.S. Geological Survey science strategy to address white-nose syndrome and bat health in 2025–2029","docAbstract":"<p>Since its discovery in 2006, the fungal disease known as white-nose syndrome (WNS) has killed millions of bats. Of the 47&nbsp;bat species native to the conterminous United States, Alaska, Hawaii, and Canada, 12&nbsp;have been affected by WNS, including 3&nbsp;endangered species and 1&nbsp;proposed endangered species. WNS has also been detected in 40&nbsp;States and 9&nbsp;Canadian Provinces. U.S.&nbsp;Geological Survey (USGS) scientists have been critical in identifying the causal fungus for WNS (<i>Pseudogymnoascus destructans</i> [Pd]), characterizing the effects of WNS, and tracking the spread of Pd in many bat populations in North America.</p><p>The mission of the USGS WNS and Bat Health Science Team is to deliver integrated science in order to build resiliency into free-ranging bat populations through more effective WNS management, build capacity for bat health science, and enhance bat health information sharing across USGS science centers and cooperative research units as well as with stakeholders. The USGS can play an important role in supporting regional and national capacity building by providing resources and guidance to local, State, and Tribal management entities and by providing tools to enhance disease management. The USGS Ecosystems Mission Area’s Biological Threats and Invasive Species Research Program is the lead Federal program for free-ranging wildlife disease research and surveillance.</p><p>As of 2024, guided by the science priorities set by the WNS Steering Committee, USGS scientists are engaged in a nationwide response to WNS. This work is done in close coordination with our partners at the U.S.&nbsp;Fish and Wildlife Service, National Park Service, Bureau of Land Management, U.S.&nbsp;Forest Service of the U.S.&nbsp;Department of Agriculture, U.S.&nbsp;Department of Defense, as well as State and Tribal agencies. In addition to conducting WNS research, the USGS is mapping the spread of WNS and coordinating the North American Bat Monitoring Program (NABat) to understand how WNS and other stressors affect the status and trends of native bats across their range. The USGS is supporting the national WNS response through four science goals: (1) provide situational awareness on the health of bat populations; (2) conduct ecological studies of bats along the gradient of disease vulnerability; (3) contribute actionable science to enhance the resiliency of bat populations; and (4) implement an adaptive, holistic approach to bat health.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1560","programNote":"Biological Threats and Invasive Species Research Program","usgsCitation":"Hopkins, M.C., George, A.E., and McCaffery, R., 2025, U.S. Geological Survey science strategy to address white-nose syndrome and bat health in 2025–2029: U.S. Geological Survey Circular 1560, 23 p., https://doi.org/10.3133/cir1560.","productDescription":"iv, 23 p.","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-153985","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":494707,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://geonarrative.usgs.gov/whitenosesyndromeinnorthamericanbats/","text":"Geonarrative","linkHelpText":"- White-Nose Syndrome in North American bats"},{"id":492713,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1560/cir1560.XML","linkFileType":{"id":8,"text":"xml"},"description":"CIR 1560 XML"},{"id":492714,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1560/images/"},{"id":492712,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1560/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"CIR 1560 HTML"},{"id":492711,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1560/cir1560.pdf","text":"Report","size":"3.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1560 PDF"},{"id":492710,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1560/coverthb.jpg"}],"contact":"<p>Associate Director, <a href=\"https://www.usgs.gov/mission-areas/ecosystems\" data-mce-href=\"https://www.usgs.gov/mission-areas/ecosystems\">Ecosystems Mission Area</a><br>U.S. Geological Survey<br>Mail Stop 300<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>USGS Science Strategy To Address White-Nose Syndrome and Bat Health in 2025–2029</li><li>Acknowledgments</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Selected Publications by U.S. Geological Survey Researchers on White-Nose Syndrome and Bat Health From 2009 to 2024</li><li>Appendix 2. Members of the U.S. Geological Survey White-Nose Syndrome and Bat Health Science Team</li><li>Appendix 3. Congressional Language Mandating U.S. Geological Survey Studies of White-Nose Syndrome for Fiscal Years 2014–2023</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-08-25","noUsgsAuthors":false,"plainLanguageSummary":"<p><br data-mce-bogus=\"1\"></p>","publicationDate":"2025-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Hopkins, M. Camille 0000-0003-1465-6038","orcid":"https://orcid.org/0000-0003-1465-6038","contributorId":216166,"corporation":false,"usgs":true,"family":"Hopkins","given":"M. 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,{"id":70271310,"text":"70271310 - 2025 - First record of twin and triplet embryos found in the clutch of a wild Burmese python in southern Florida","interactions":[],"lastModifiedDate":"2025-09-04T15:05:00.594698","indexId":"70271310","displayToPublicDate":"2025-08-25T07:59:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"First record of twin and triplet embryos found in the clutch of a wild Burmese python in southern Florida","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72040","usgsCitation":"Aponte Santiago, G., Baird-Lujano, J.E., Guzy, J.C., Biglin, D.G., Rentof, J.M., Bancroft, G.F., Romagosa, C.M., McCollister, M., and Hart, K., 2025, First record of twin and triplet embryos found in the clutch of a wild 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Florida","active":true,"usgs":false}],"preferred":false,"id":947943,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCollister, Matthew","contributorId":303825,"corporation":false,"usgs":false,"family":"McCollister","given":"Matthew","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":947944,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222407,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":947945,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70272689,"text":"70272689 - 2025 - The role of fire on Earth","interactions":[],"lastModifiedDate":"2026-01-07T17:36:21.383553","indexId":"70272689","displayToPublicDate":"2025-08-23T10:46:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"The role of fire on Earth","docAbstract":"<p><span>Fire is a defining feature of our biosphere, having appeared when the first plants colonized the land, and it continues to occur across the planet at different frequencies and intensities. Fire has been and remains as an evolutionary force in many plant and animal lineages and contributes to explaining the variability of our biodiversity. Fire has also shaped the structure of many ecosystems and the distribution of biomes, and it is an important contributor to the global biogeochemical cycles. In addition, fire has been a key factor in human evolution, and, in turn, humans have modified fire regimes with important consequences for the biosphere. Consequently, fire is an intrinsic factor on our planet. Our challenge now is to understand and predict the role of fire in a densely populated, highly technological world that imposes significant changes on the Earth.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biaf132","usgsCitation":"Pausas, J.G., Keeley, J., and Bond, W.J., 2025, The role of fire on Earth: BioScience, v. 75, no. 12, p. 1028-1041, https://doi.org/10.1093/biosci/biaf132.","productDescription":"14 p.","startPage":"1028","endPage":"1041","ipdsId":"IP-176989","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497116,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biaf132","text":"Publisher Index Page"},{"id":497067,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-08-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Pausas, Juli G.","contributorId":363229,"corporation":false,"usgs":false,"family":"Pausas","given":"Juli","middleInitial":"G.","affiliations":[{"id":86660,"text":"Centro de Investigaciones sobre Desertificación, Consejo Superior de Investigaciones Científicas, Moncada, Spain","active":true,"usgs":false}],"preferred":false,"id":951336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bond, William J.","contributorId":363230,"corporation":false,"usgs":false,"family":"Bond","given":"William","middleInitial":"J.","affiliations":[{"id":12665,"text":"University of Cape Town","active":true,"usgs":false}],"preferred":false,"id":951338,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70271140,"text":"70271140 - 2025 - Contrasting long-term trends in channel width and shoreline complexity","interactions":[],"lastModifiedDate":"2025-08-28T15:14:23.604256","indexId":"70271140","displayToPublicDate":"2025-08-23T08:08:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting long-term trends in channel width and shoreline complexity","docAbstract":"Drought and reservoir management in the Colorado River Watershed have decreased peak flows and sediment loads reducing the ability of rivers to change their channels. Multiple studies have documented the resulting decrease in channel width, but less attention has been paid to long-term trends in shoreline complexity, including the number and size of islands. We used a sequence of aerial photographs and satellite images collected in 13 different years to measure decadal trends in channel complexity in Gray Canyon along the Green River, Utah. We quantified channel width and shoreline complexity for each year of available imagery. Between 1938 and 2021 peak flows decreased by 34% and channel width decreased by 18% confirming observations elsewhere in the system of decreasing width in response to decreasing flows. Over the same period, however, shoreline complexity increased by 5.5% and the number of islands almost tripled, indicating that merging of islands into the encroaching floodplain was outpaced by formation and growth of new islands. The increase in shoreline complexity occurred between 1938 and 2006. Since 2006 there has been no further net increase, suggesting that room for new island formation may now be limited in the narrower channel. Sequences of channel delineations already mapped to quantify long-term changes in channel width at other sites could easily be used to determine whether the increases in shoreline complexity we observed at Gray Canyon are matched elsewhere.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.109978","usgsCitation":"Skaggs, E.R., Friedman, J.M., and Holmquist-Johnson, C., 2025, Contrasting long-term trends in channel width and shoreline complexity: Geomorphology, v. 489, 109978, 8 p., https://doi.org/10.1016/j.geomorph.2025.109978.","productDescription":"109978, 8 p.","ipdsId":"IP-178957","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":495007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah, Wyoming","otherGeospatial":"Green River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.79717695343466,\n              42.6685454040163\n            ],\n            [\n              -110.79717695343466,\n              39.693550451413756\n            ],\n            [\n              -107.87448269652732,\n              39.693550451413756\n            ],\n            [\n              -107.87448269652732,\n              42.6685454040163\n            ],\n            [\n              -110.79717695343466,\n              42.6685454040163\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"489","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Skaggs, Elizabeth Rachaelann 0000-0001-9672-641X","orcid":"https://orcid.org/0000-0001-9672-641X","contributorId":342031,"corporation":false,"usgs":true,"family":"Skaggs","given":"Elizabeth","email":"","middleInitial":"Rachaelann","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":947573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":947574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmquist-Johnson, Christopher 0000-0002-2782-7687","orcid":"https://orcid.org/0000-0002-2782-7687","contributorId":210644,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Christopher","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":947575,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70270766,"text":"ofr20251038 - 2025 - Python Hyperspectral Analysis Tool (PyHAT) user guide","interactions":[],"lastModifiedDate":"2026-02-03T15:13:26.159322","indexId":"ofr20251038","displayToPublicDate":"2025-08-22T14:59:30","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1038","displayTitle":"Python Hyperspectral Analysis Tool (PyHAT) User Guide","title":"Python Hyperspectral Analysis Tool (PyHAT) user guide","docAbstract":"This report is a user guide for the 0.1.2 release of the Python Hyperspectral Analysis Tool (PyHAT) and its graphical user interface (GUI). The GUI is intended to provide an intuitive front end to allow users to apply sophisticated preprocessing and analysis methods to spectroscopic data. Though the PyHAT package has been developed with a particular focus on laser-induced breakdown spectroscopy (LIBS), the package uses a simple comma separated values (CSV)-based data format and is readily applicable in other spectroscopy applications. This guide provides background information about the package and its capabilities. It also provides practical guidance on usage and example workflows for a wide variety of datasets.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251038","usgsCitation":"Anderson, R.B., Aneece, I.P., and Gabriel, T.S.J., 2025, Python Hyperspectral Analysis Tool (PyHAT) user guide: U.S. Geological Survey Open-File Report 2025–1038, 59 p., https://doi.org/10.3133/ofr20251038.","productDescription":"xi, 59 p.","numberOfPages":"59","onlineOnly":"Y","ipdsId":"IP-120336","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":494678,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1038/images"},{"id":494677,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1038/ofr20251038.XML","description":"OFR 2025-1038 XML"},{"id":494676,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251038/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1038 HTML"},{"id":494675,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1038/ofr20251038.pdf","text":"Report","size":"12.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1038 PDF"},{"id":494653,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1038/coverthb.jpg"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/astrogeology-science-center\" data-mce-href=\"https://www.usgs.gov/centers/astrogeology-science-center\">Astrogeology Science Center</a><br><a href=\"https://www.usgs.gov/\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2255 N. Gemini Dr.<br>Flagstaff, AZ 86001</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Workflow Menu</li><li>Data Menu</li><li>Preprocessing Menu</li><li>Classification Menu</li><li>Regression Menu</li><li>Visualization Menu</li><li>Buttons</li><li>Examples</li><li>Conclusion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-08-22","noUsgsAuthors":false,"publicationDate":"2025-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":947033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aneece, Itiya P. 0000-0002-1201-5459","orcid":"https://orcid.org/0000-0002-1201-5459","contributorId":208265,"corporation":false,"usgs":true,"family":"Aneece","given":"Itiya","middleInitial":"P.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":947034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gabriel, Travis S.J. 0000-0002-9767-4153","orcid":"https://orcid.org/0000-0002-9767-4153","contributorId":267903,"corporation":false,"usgs":true,"family":"Gabriel","given":"Travis","middleInitial":"S.J.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":947035,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70270254,"text":"sim3540 - 2025 - Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas","interactions":[{"subject":{"id":70199279,"text":"sim3418 - 2018 - Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas","indexId":"sim3418","publicationYear":"2018","noYear":false,"title":"Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas"},"predicate":"SUPERSEDED_BY","object":{"id":70270254,"text":"sim3540 - 2025 - Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas","indexId":"sim3540","publicationYear":"2025","noYear":false,"title":"Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas"},"id":1}],"lastModifiedDate":"2026-02-03T15:12:39.550217","indexId":"sim3540","displayToPublicDate":"2025-08-22T14:09:32","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3540","displayTitle":"Geologic Framework and Hydrostratigraphy of the Edwards and Trinity Aquifers Within Hays County, Texas","title":"Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas","docAbstract":"<p>During 2023–24, the U.S. Geological Survey, in cooperation with the Edwards Aquifer Authority, revised a previous publication of the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers that was completed during 2018 within Hays County, Texas. The purpose of this report is to present the updated geologic framework and hydrostratigraphy of the rocks containing the Edwards and Trinity aquifers in Hays County from field observations of the surficial expressions of the rocks. The report includes a detailed 1:24,000-scale hydrostratigraphic map with names and descriptions of the geologic framework and hydrostratigraphic units (HSUs) in the study area. The study includes updates to the interpretation of the Kainer Formation of the Edwards Group with the addition of a burrowed unit between the basal nodular and dolomitic members. Hydrostratigraphy was also updated with the addition of the Seco Pass HSU for the burrowed member of the Kainer Formation. The study also includes updates to the interpretation of the hydrostratigraphy of the Trinity aquifer with the addition of the cavernous HSU at the top of the upper zone of the Trinity aquifer and the Herff Falls HSU between the Bulverde and Rust HSUs of the middle zone of the Trinity aquifer.</p><p>This updated report provides additional information about a complex aquifer system. The complexity in the aquifer system results from a combination of the original depositional history, bioturbation, development of primary and secondary porosity, postdepositional diagenesis, fracturing, and faulting.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3540","issn":"2329-132X","collaboration":"Prepared in cooperation with the Edwards Aquifer Authority","usgsCitation":"Clark, A.K., Morris, R.R., and Lamberts, A.P., 2025, Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas: U.S. Geological Survey Scientific Investigations Map 3540, 1 sheet, scale 1:24,000, 13-p. pamphlet, https://doi.org/10.3133/sim3540. [Supersedes USGS Scientific Investigations Map 3418.]","productDescription":"Pamphlet: viii, 13 p.; 1 Sheet: 49.01 x 39.15 inches; Data Release","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-162173","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":493994,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13BICJ5","text":"USGS Data Release","linkHelpText":"- Geospatial dataset for the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas, at 1:24,000 scale"},{"id":493995,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3540/sim3540_pamphlet.pdf","text":"Pamphlet","size":"3.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3540 pamphlet"},{"id":493993,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3540/sim3540.pdf","text":"Sheet","size":"12.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3540"},{"id":493992,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3540/coverthb.jpg"},{"id":493991,"rank":1,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3540/images"},{"id":495116,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118753.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","county":"Hays County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.2986,30.0395],[-98.2197,30.2335],[-98.1793,30.3395],[-98.1732,30.356],[-97.7131,30.0229],[-97.7659,29.9791],[-97.7763,29.9679],[-97.7891,29.9599],[-97.7995,29.9459],[-97.8161,29.9371],[-97.8599,29.91],[-97.897,29.8819],[-97.9008,29.8554],[-97.8966,29.8558],[-97.8934,29.8566],[-97.8924,29.8575],[-97.8918,29.8584],[-97.8907,29.8598],[-97.8902,29.8612],[-97.8896,29.8616],[-97.888,29.8625],[-97.8838,29.8615],[-97.8786,29.8591],[-97.9354,29.8185],[-97.9478,29.8091],[-97.9823,29.7726],[-97.9996,29.7537],[-98.0389,29.8493],[-98.1102,29.9036],[-98.2986,30.0395]]]},\"properties\":{\"name\":\"Hays\",\"state\":\"TX\"}}]}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/ot-water\" href=\"https://www.usgs.gov/centers/ot-water\">Oklahoma-Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane<br>Austin, TX 78754–4501</p><p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Geologic Framework</li><li>Hydrostratigraphy</li><li>Implications of Hydrostratigraphic Characteristics and Geologic Structure on Groundwater Recharge and Flow Paths</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-08-22","noUsgsAuthors":false,"publicationDate":"2025-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Allan K. 0000-0003-0099-1521","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":79775,"corporation":false,"usgs":true,"family":"Clark","given":"Allan K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, Robert R. 0000-0001-7504-3732","orcid":"https://orcid.org/0000-0001-7504-3732","contributorId":331599,"corporation":false,"usgs":true,"family":"Morris","given":"Robert R.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamberts, Alexis P. 0000-0003-0193-5433","orcid":"https://orcid.org/0000-0003-0193-5433","contributorId":242978,"corporation":false,"usgs":true,"family":"Lamberts","given":"Alexis","email":"","middleInitial":"P.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273328,"text":"70273328 - 2025 - Near-surface material and topography generate anomalous high-frequency ground motion amplification in Chugiak, Alaska","interactions":[],"lastModifiedDate":"2026-01-06T15:19:15.394653","indexId":"70273328","displayToPublicDate":"2025-08-22T09:12:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Near-surface material and topography generate anomalous high-frequency ground motion amplification in Chugiak, Alaska","docAbstract":"<p><span>An ∼3&nbsp;km long nodal array oriented approximately east–west was deployed in Chugiak, Alaska, by the U.S. Geological Survey during 2021. The array intersects with the permanent NetQuakes station NP.ARTY, where peak ground acceleration (PGA) value of 1.98</span><i>g</i><span>&nbsp;was recorded during the 2018&nbsp;</span><span> <i>M</i><sub>w</sub> 7.1 Anchorage, Alaska, earthquake, in sharp contrast to the PGA of ∼0.3</span><i>g</i><span>&nbsp;at a site just 4&nbsp;km to the west. Seismic data for <i>M</i><sub>w</sub>&nbsp;</span><span>&nbsp;1.8–4.3 aftershocks from the <i>M</i><sub>w</sub>&nbsp;</span><span>&nbsp;7.1 event recorded by the nodal array confirm the anomalously large ground motions obtained at NP.ARTY as well as similar amplifications at nodes within ∼1&nbsp;km to the east. Here, we performed 0–10&nbsp;Hz 3D finite‐difference simulations, including high‐resolution surface topography, to explore the cause of the unexpectedly large amplification. As expected, the simulations computed with a regional 3D tomography velocity model severely underpredict the 0–10&nbsp;Hz acceleration records at almost all sites. Adding a near‐surface low‐velocity taper to 300&nbsp;m depth amplifies the accelerations by up to a factor of 5 and enables a reasonable match between the nodal data and simulations at sites to the west of NP.ARTY. However, this model still underpredicts the spectral energy in the area covered by glacial sediments by up to an order of magnitude. The addition of a till layer using a depth‐dependent shear‐wave velocity (</span><span class=\"inline-formula no-formula-id\">⁠⁠<i>V</i><sub>s</sub></span><span>) profile along with a homogeneous, 8&nbsp;m thick low‐velocity layer with <span class=\"inline-formula no-formula-id\"><i>V</i><sub>s </sub>= 250</span></span><span> m/s&nbsp;representing the kame terraces improves the fit to data to within a factor of 2 at nodes located on top of the glacial sediments. Our study shows that the anomalously large high‐frequency amplification recorded at and near NP.ARTY can be explained by a combination of topographic effects and near‐surface low‐velocity material with amplification effects on the high‐frequency ground motion by up to about 40% and an order of magnitude, respectively.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240283","usgsCitation":"Yeh, T., Olsen, K.B., Steidl, J.H., and Haeussler, P., 2025, Near-surface material and topography generate anomalous high-frequency ground motion amplification in Chugiak, Alaska: Bulletin of the Seismological Society of America, v. 115, no. 6, p. 2793-2808, https://doi.org/10.1785/0120240283.","productDescription":"16 p.","startPage":"2793","endPage":"2808","ipdsId":"IP-173630","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":498350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Chugiak","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.0449585780233,\n              61.579337610698786\n            ],\n            [\n              -150.32779349821365,\n              61.579337610698786\n            ],\n            [\n              -150.32779349821365,\n              60.81067946634249\n            ],\n            [\n              -149.0449585780233,\n              60.81067946634249\n            ],\n            [\n              -149.0449585780233,\n              61.579337610698786\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Yeh, Te-Yang 0000-0002-9146-6804","orcid":"https://orcid.org/0000-0002-9146-6804","contributorId":364872,"corporation":false,"usgs":false,"family":"Yeh","given":"Te-Yang","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":953357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olsen, Kim B.","contributorId":364874,"corporation":false,"usgs":false,"family":"Olsen","given":"Kim","middleInitial":"B.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":953358,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steidl, Jamison Haase 0000-0003-0612-7654","orcid":"https://orcid.org/0000-0003-0612-7654","contributorId":239709,"corporation":false,"usgs":true,"family":"Steidl","given":"Jamison","email":"","middleInitial":"Haase","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":953359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":353464,"corporation":false,"usgs":false,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":84407,"text":"USGS ASC retired","active":true,"usgs":false}],"preferred":false,"id":953360,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273040,"text":"70273040 - 2025 - The bat signal: An ultraviolet light lure to increase acoustic detection of bats","interactions":[],"lastModifiedDate":"2025-12-12T17:50:23.164107","indexId":"70273040","displayToPublicDate":"2025-08-21T10:39:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"title":"The bat signal: An ultraviolet light lure to increase acoustic detection of bats","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Bats are a taxa of high conservation concern and are facing numerous threats including widespread mortality due to White-Nose Syndrome (WNS) in North America. With this decline comes increasing difficulty in monitoring imperiled bat species due to lower detection probabilities of both mist-netting and acoustic surveys. Lure technology shows promise to increase detection while decreasing sampling effort; however, to date research has primarily focused on increasing physical captures during mist-net surveys using sound lures. Because much bat monitoring is now performed using acoustic detection, there is a similar need to increase detection probabilities during acoustic surveys. Ultraviolet (UV) lights anecdotally have been shown to attract insects and thereby attract foraging bats for observational studies and to experimentally provide a food source for WNS-impacted bats before and after hibernation. Therefore, we constructed a field-portable and programmable UV lure device to determine the value of lures for increasing acoustic detection of bats. We tested if the lure device increased both the echolocation passes and feeding activity (feeding buzzes) across a transect of bat detectors. There was an increase in feeding activity around the UV light, with a nuanced, species-specific and positionally dependent effect on echolocation passes received. The UV light lure increased echolocation passes for the eastern red bat (</span><i><span class=\"html-italic\">Lasiurus borealis</span></i><span>), little brown bat (</span><i><span class=\"html-italic\">Myotis lucifugus</span></i><span>), and evening bat (</span><i><span class=\"html-italic\">Nycticeius humeralis</span></i><span>), but decreased passes of the North American hoary bat (</span><i><span class=\"html-italic\">Lasiurus cinereus</span></i><span>). The northern long-eared bat (</span><i><span class=\"html-italic\">Myotis septentrionalis</span></i><span>) showed a negative response within the illuminated area but increased echolocation activity outside the illuminated area during lure treatment and activity was elevated at all positions after the lure was deactivated. Our study demonstrates some potential utility of UV lures in increasing the feeding activity and acoustic detection of bats. Additional research and development of UV lure technology may be beneficial, including alternating on and off periods to improve detection of light-averse species, and improving echolocation call quality along with the increase in received passes.</span></span></p>","language":"English","publisher":"MDPI","doi":"10.3390/ani15162458","usgsCitation":"Freeze, S.R., Deeley, S.M., Litterer, A.S., Freeze, J.M., and Ford, W., 2025, The bat signal: An ultraviolet light lure to increase acoustic detection of bats: Animals, v. 15, no. 16, 2458, 31 p., https://doi.org/10.3390/ani15162458.","productDescription":"2458, 31 p.","ipdsId":"IP-179561","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497711,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani15162458","text":"Publisher Index Page"},{"id":497492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Prince William Forest Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.4388964315137,\n              38.6362469072904\n            ],\n            [\n              -77.4388964315137,\n              38.55055265494616\n            ],\n            [\n              -77.33478490822863,\n              38.55055265494616\n            ],\n            [\n              -77.33478490822863,\n              38.6362469072904\n            ],\n            [\n              -77.4388964315137,\n              38.6362469072904\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"16","noUsgsAuthors":false,"publicationDate":"2025-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Freeze, Samuel R.","contributorId":363959,"corporation":false,"usgs":false,"family":"Freeze","given":"Samuel","middleInitial":"R.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":952132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deeley, Sabrina M.","contributorId":363962,"corporation":false,"usgs":false,"family":"Deeley","given":"Sabrina","middleInitial":"M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":952133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Litterer, Amber S.","contributorId":363965,"corporation":false,"usgs":false,"family":"Litterer","given":"Amber","middleInitial":"S.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":952134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeze, J. Mark","contributorId":363968,"corporation":false,"usgs":false,"family":"Freeze","given":"J.","middleInitial":"Mark","affiliations":[{"id":86746,"text":"Independent electrical engineer","active":true,"usgs":false}],"preferred":false,"id":952135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":952136,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272261,"text":"70272261 - 2025 - Spatial mapping of dissolved methane using an in situ sensor in Puget Sound","interactions":[],"lastModifiedDate":"2025-11-20T15:39:11.301779","indexId":"70272261","displayToPublicDate":"2025-08-21T09:31:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7183,"text":"Limnology and Oceanography Methods","active":true,"publicationSubtype":{"id":10}},"title":"Spatial mapping of dissolved methane using an in situ sensor in Puget Sound","docAbstract":"<p><span>Release of methane, as gas bubbles or in the dissolved phase, from the seafloor has been observed in coastal waters (&lt; 200 m) and deep ocean basins (&gt; 1000 m). Methane dissolution within the water column affects the geochemistry of the surrounding water, leading to localized oxygen loss and potential escape to the atmosphere, particularly from shallower sites. Traditional methods for detecting and quantifying dissolved methane rely on collecting discrete water samples for ship- or land-based ex situ analysis and post processing. Here, we report on the use of a reduced response time, in situ methane sensor, the Sensor for Aqueous Gases in the Environment (SAGE), for detecting and quantifying dissolved methane concentrations in a wide range of seafloor environments. During a Fall 2022 research cruise on the R/V&nbsp;</span><i>Thomas G. Thompson</i><span>&nbsp;in Puget Sound, SAGE was integrated onto a towed conductivity/temperature/depth rosette and deep-sea camera system with live-stream 1 Hz telemetry and used to spatially map the concentration of methane approximately 1 m above the seafloor. The site had been previously identified as an active methane plume field characterized by gas bubbles, fluid venting, and a faulted seabed. The widespread background dissolved concentration of methane measured by SAGE was 83 nM, and a range of 78–670 nM was observed throughout the survey. The results highlight the capacity of SAGE to map the spatial and temporal variability of dissolved methane concentrations in situ and to identify and localize sites of variable methane emissions from the seafloor.</span></p>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lom3.10717","usgsCitation":"Padilla, A.M., Pardis, W., Kapit, J., Bjorklund, T.A., Ward, N.D., Fornari, D.J., Hautala, S., Waite, W., Johnson, H.P., and Michel, A.P., 2025, Spatial mapping of dissolved methane using an in situ sensor in Puget Sound: Limnology and Oceanography Methods, v. 23, no. 11, p. 804-814, https://doi.org/10.1002/lom3.10717.","productDescription":"11 p.","startPage":"804","endPage":"814","ipdsId":"IP-162821","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":496756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lom3.10717","text":"Publisher Index Page"},{"id":496684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.425,\n              47.5625\n            ],\n            [\n              -122.425,\n              47.551389\n            ],\n            [\n              -122.4125,\n              47.551389\n            ],\n            [\n              -122.4125,\n              47.5625\n            ],\n            [\n              -122.425,\n              47.5625\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Padilla, Alexandra M.","contributorId":362571,"corporation":false,"usgs":false,"family":"Padilla","given":"Alexandra","middleInitial":"M.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":950604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pardis, William","contributorId":362574,"corporation":false,"usgs":false,"family":"Pardis","given":"William","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":950605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kapit, Jason","contributorId":362576,"corporation":false,"usgs":false,"family":"Kapit","given":"Jason","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":950606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bjorklund, Tor A.","contributorId":362579,"corporation":false,"usgs":false,"family":"Bjorklund","given":"Tor","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":950607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ward, Nicholas D.","contributorId":362582,"corporation":false,"usgs":false,"family":"Ward","given":"Nicholas","middleInitial":"D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":950608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fornari, Daniel J.","contributorId":362584,"corporation":false,"usgs":false,"family":"Fornari","given":"Daniel","middleInitial":"J.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":950609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hautala, Susan","contributorId":194235,"corporation":false,"usgs":false,"family":"Hautala","given":"Susan","email":"","affiliations":[],"preferred":false,"id":950610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":950611,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, H. Paul","contributorId":362588,"corporation":false,"usgs":false,"family":"Johnson","given":"H.","middleInitial":"Paul","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":950612,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Michel, Anna P.","contributorId":362590,"corporation":false,"usgs":false,"family":"Michel","given":"Anna","middleInitial":"P.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":950613,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70271952,"text":"70271952 - 2025 - Home range, seasonality, and the importance of canopy cover for Texas Tortoises (Gopherus berlandieri)","interactions":[],"lastModifiedDate":"2025-09-26T15:17:29.826213","indexId":"70271952","displayToPublicDate":"2025-08-21T08:08:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Home range, seasonality, and the importance of canopy cover for Texas Tortoises <i>(Gopherus berlandieri)</i>","title":"Home range, seasonality, and the importance of canopy cover for Texas Tortoises (Gopherus berlandieri)","docAbstract":"<p><span>Texas Tortoises (</span><i>Gopherus berlandieri</i><span>) are understudied compared to federally protected congeners. Despite important early studies on the basic ecology of&nbsp;</span><i>G. berlandieri</i><span>, quantitative identification of habitat associations with specific environmental conditions has been limited.&nbsp;</span><i>Gopherus berlandieri</i><span>&nbsp;inhabits Tamaulipan thornscrub across its range, and coastal populations are historically associated with low-relief clay ridges with thick mesquital scrub surrounded by salt prairie grasslands. Our study examined tortoise home range size and association with canopy cover and potential ground moisture at a protected natural area in Cameron County, TX, USA. Twelve tortoises were outfitted with GPS loggers that recorded location once an hour from March 2020 to March 2022. To delineate home ranges, we estimated utilization distributions (UDs) for tortoises as autocorrelated kernel density estimates (AKDEs) at low-use (95%) and core-use (50%) levels for each tortoise. UDs were estimated for the entire study period and during seasons of sustained heat or cold to determine if tortoises used space differently across these seasons over the study period. Applying a use-availability study design, we compared canopy cover and potential mesic ground condition (i.e., precipitation flow accumulation) within each tortoise's UD (“use”) to the area within 1 day's movement around the boundary of the UD (“available”). Tortoise UD sizes were significantly different across seasons for low-use (95%) but not for core-use (50%) AKDE levels. Tortoise UDs had greater canopy cover compared to available-but-unused areas at both AKDE levels. Potential mesic ground condition did not significantly differ between available and used areas. Our study revealed that tortoises vary the size of their home ranges throughout the year, whereas areas of intensive use or occupation tended to remain remarkably stable throughout the year. In seasons of extreme weather (hot or cold), tortoises seem to seek out areas of denser canopy cover that likely serve as thermal refugia. Based on our results, effective habitat identification may best be served by ensuring that canopy cover is at least equivalent to the values reported here to ensure sufficient refugia during extreme seasonal temperatures.</span></p>","language":"English","publisher":"BioOne","doi":"10.1655/Herpetologica-D-24-00045","usgsCitation":"Guerra, D.A., Esque, T.C., Davis, D.R., and Veech, J.A., 2025, Home range, seasonality, and the importance of canopy cover for Texas Tortoises (Gopherus berlandieri): Herpetologica, v. 81, no. 3, p. 224-235, https://doi.org/10.1655/Herpetologica-D-24-00045.","productDescription":"12 p.","startPage":"224","endPage":"235","ipdsId":"IP-166128","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":496197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Cameron County","otherGeospatial":"Palo Alto Battlefield National Historical Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.48020285982955,\n              26.047557179351983\n            ],\n            [\n              -97.48020285982955,\n              26.000617224658356\n            ],\n            [\n              -97.44210067536247,\n              26.000617224658356\n            ],\n            [\n              -97.44210067536247,\n              26.047557179351983\n            ],\n            [\n              -97.48020285982955,\n              26.047557179351983\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"81","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Guerra, Daniel A.","contributorId":361799,"corporation":false,"usgs":false,"family":"Guerra","given":"Daniel","middleInitial":"A.","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":949481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd C. 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":221817,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":949482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Drew R.","contributorId":361802,"corporation":false,"usgs":false,"family":"Davis","given":"Drew","middleInitial":"R.","affiliations":[{"id":86355,"text":"Eastern New Mexico University and UTexas at Austin","active":true,"usgs":false}],"preferred":false,"id":949483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veech, Joseph A.","contributorId":361803,"corporation":false,"usgs":false,"family":"Veech","given":"Joseph","middleInitial":"A.","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":949484,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270361,"text":"dr1214 - 2025 - Revised marine bird collision and displacement vulnerability index for U.S. Pacific Outer Continental Shelf offshore wind energy development","interactions":[],"lastModifiedDate":"2026-02-03T15:11:59.483763","indexId":"dr1214","displayToPublicDate":"2025-08-21T06:59:57","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1214","displayTitle":"Revised Marine Bird Collision and Displacement Vulnerability Index for U.S. Pacific Outer Continental Shelf Offshore Wind Energy Development","title":"Revised marine bird collision and displacement vulnerability index for U.S. Pacific Outer Continental Shelf offshore wind energy development","docAbstract":"<p>The installation of offshore wind energy infrastructure (OWEI) at sea may affect marine birds by increasing the risk of mortality from collision with OWEI (Collision Vulnerability) and causing disturbance and displacement from important habitats (Displacement Vulnerability). In 2017, we published the first comprehensive database quantifying marine bird Collision Vulnerability and Displacement Vulnerability to potential OWEI in the region of the U.S. Pacific Outer Continental Shelf (POCS; waters within the Exclusive Economic Zone of California, Oregon, and Washington). We have updated this Vulnerability Index with new research and data, additional species present in the POCS, and an evolved understanding of the application and utility of the Index. Of the species assessed, phalaropes and Red-billed Tropicbird have the highest Collision Vulnerability, and gulls, terns, jaegers, skuas, and pelicans have moderately high Collision Vulnerability. Boobies, sea ducks, and pelicans have the greatest Displacement Vulnerability. The overall trends in ranked Vulnerability among marine birds in the POCS were consistent between Version 1 and Version 2 although new data and revised calculations updated the outcomes. Alcids, loons, storm-petrels, Brant, and phalaropes ranked higher for Collision Vulnerability in Version 2 compared to Version 1; sea ducks, cormorants, skua, and jaegers ranked lower for Collision Vulnerability in Version 2 compared to Version 1. Displacement Vulnerability ranks were higher in Version 2 for gulls, pelicans, sea ducks, and alcids and lower for albatrosses, terns, and loons. Vulnerability Index Version 2 is an up-to-date, representative, and transparent assessment of marine bird vulnerability to potential offshore wind energy development. This updated Vulnerability Index can assist resource managers and others in understanding and addressing potential interactions between OWEI and marine bird species that inhabit the POCS.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1214","collaboration":"Prepared in cooperation with the Bureau of Ocean Energy Management","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Kelsey, E.C., Felis, J.J., Pereksta, D.M., and Adams, J., 2025, Revised marine bird collision and displacement vulnerability index for U.S. Pacific Outer Continental Shelf offshore wind energy development (ver. 1.1,\nNovember 2025): U.S. Geological Survey Data Report 1214, 32 p., https://doi.org/10.3133/dr1214.","productDescription":"viii, 32 p.","onlineOnly":"Y","ipdsId":"IP-167805","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":496435,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1214/dr1214.XML"},{"id":496432,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/dr/1214/VersionHistory.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"Version History"},{"id":496434,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1214/images"},{"id":496433,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1OUOM9W","text":"USGS data release","description":"USGS data release","linkHelpText":"Data for the revised marine bird Collision and Displacement Vulnerability Index for Pacific Outer Continental Shelf offshore wind energy development"},{"id":496431,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1214/dr1214.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1214"},{"id":496429,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1214/coverthb2.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.11122811871701,\n              46.836231292523934\n            ],\n            [\n              -133.66298337147504,\n              43.87312626189197\n            ],\n            [\n              -135.1639174719598,\n              38.18991249267404\n            ],\n            [\n              -124.75213428275356,\n              21.70090202972672\n            ],\n            [\n              -117.3903149351834,\n              19.187148095597664\n            ],\n            [\n              -108.20584860772473,\n              21.105959128505745\n            ],\n            [\n              -110.47687143079384,\n              23.789215318067903\n            ],\n            [\n              -114.73093128440786,\n              29.394483151806185\n            ],\n            [\n              -116.81948042658601,\n              32.732895836344994\n            ],\n            [\n              -120.58898983505466,\n              35.78436076311384\n            ],\n            [\n              -123.50560199570324,\n              40.66753444650692\n            ],\n            [\n              -123.11122811871701,\n              46.836231292523934\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: August 19, 2025; Version 1.1: November 17, 2025","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br>U.S. Geological Survey<br>3020 State University Drive East<br>Sacramento, California 95819</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li></ul>","publishedDate":"2025-08-21","revisedDate":"2025-11-17","noUsgsAuthors":false,"publicationDate":"2025-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Kelsey, Emma C. 0000-0002-0107-3530","orcid":"https://orcid.org/0000-0002-0107-3530","contributorId":359739,"corporation":false,"usgs":false,"family":"Kelsey","given":"Emma","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":946194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Felis, Jonathan J. 0000-0002-0608-8950 jfelis@usgs.gov","orcid":"https://orcid.org/0000-0002-0608-8950","contributorId":4825,"corporation":false,"usgs":true,"family":"Felis","given":"Jonathan","email":"jfelis@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pereksta, David M.","contributorId":174519,"corporation":false,"usgs":false,"family":"Pereksta","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":20318,"text":"Bureau of Ocean Energy Management","active":true,"usgs":false}],"preferred":false,"id":946196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946197,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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