{"pageNumber":"77","pageRowStart":"1900","pageSize":"25","recordCount":185143,"records":[{"id":70267978,"text":"70267978 - 2025 - The stratigraphic record of the mid-Piacenzian warm period on the Atlantic Coastal Plain","interactions":[],"lastModifiedDate":"2025-09-09T16:04:07.775087","indexId":"70267978","displayToPublicDate":"2025-06-16T10:58:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"The stratigraphic record of the mid-Piacenzian warm period on the Atlantic Coastal Plain","docAbstract":"

Anthropogenic climate change is an existential threat to our planet, impacting everything from the delicate balance of ecosystems to the availability of vital resources. Coastal regions, particularly vulnerable to the impacts of climate change due to rising sea levels and changing weather patterns, are experiencing increased erosion, flooding, and habitat loss. Understanding how coastal regions responded to past warming is crucial for developing effective adaptation and mitigation strategies. One past interval commonly used to examine and compare with climate model projections of near future conditions is the mid-Piacenzian Warm Period (MPWP) which occurred between*3.3 and 3.0 Ma. Here we review the stratigraphy of Atlantic Coastal Plain (ACP) sediments to determine the stratigraphic position of the MPWP by evaluating ages based upon existing and new planktic foraminifer occurrence data calibrated to the current geologic time scale (GTS2020). We identify geologic formations representing pre-, syn-, and post-MPWP environments. The Sunken Meadow Member of the Yorktown Formation in Virginia and North Carolina and the Wabasso beds in the subsurface of Georgia and Florida both fall within Planktic Foraminiferal Zone PL1 and represent pre-MPWP Pliocene deposits. Parts of the Yorktown Formation in southeastern Virginia and northern North Carolina, the Duplin Formation in North Carolina and South Carolina, and the Raysor Formation in South Carolina and Georgia, fall within Planktic Foraminiferal Zone PL3 and were deposited following a major regression associated with a global drop in sea level during Marine Isotope Stage (MIS) M2 and represent syn-MPWP deposits. Representing the immediately post-MPWP climate conditions (Planktic Foraminiferal Zone PL5) are the Chowan River, Bear Bluff, and Cypresshead Formations. This work provides a record of the MPWP from Georgia to Virginia and provides a stratigraphic framework within which the impacts of a profound global warming on the east coast of the United States can be assessed.

","language":"English","publisher":"Micropaleontological Press","doi":"10.47894/stra.22.2.00","usgsCitation":"Dowsett, H., and Spivey, W., 2025, The stratigraphic record of the mid-Piacenzian warm period on the Atlantic Coastal Plain: Stratigraphy, v. 22, no. 2, p. 81-97, https://doi.org/10.47894/stra.22.2.00.","productDescription":"17 p.","startPage":"81","endPage":"97","ipdsId":"IP-167251","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":490297,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-412/article-2424","linkFileType":{"id":5,"text":"html"}},{"id":495251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina, Virginia","otherGeospatial":"Atlantic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.2540064137628,\n 37.9661310516864\n ],\n [\n -77.45393664738447,\n 37.57788480662157\n ],\n [\n -82.81553889394615,\n 31.49173122752032\n ],\n [\n -82.4849451212944,\n 30.69984073209814\n ],\n [\n -81.58807068387608,\n 30.841401404258605\n ],\n [\n -78.7009680731669,\n 33.43137207763918\n ],\n [\n -75.88995103042635,\n 34.91166522689612\n ],\n [\n -75.2540064137628,\n 37.9661310516864\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"22","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":316789,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":939852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spivey, Whittney 0000-0003-1111-3361 wspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-1111-3361","contributorId":214849,"corporation":false,"usgs":true,"family":"Spivey","given":"Whittney","email":"wspivey@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":939853,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70270596,"text":"70270596 - 2025 - Stakeholders' priorities for management of a restored elk (Cervus canadensis) population in northeast Minnesota","interactions":[],"lastModifiedDate":"2025-08-21T15:41:31.430173","indexId":"70270596","displayToPublicDate":"2025-06-16T10:30:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Stakeholders' priorities for management of a restored elk (Cervus canadensis) population in northeast Minnesota","title":"Stakeholders' priorities for management of a restored elk (Cervus canadensis) population in northeast Minnesota","docAbstract":"

Wildlife reintroduction projects are an important tool for restoring traditional wildlife heritage, increasing species diversity, providing subsistence and sport hunting and other recreational opportunities, and assisting ecosystem adaption to future climate change. In Minnesota, the Fond du Lac Band of Lake Superior Chippewa and some conservationists advocate for the expansion of existing elk range to other parts of the state. For reintroduction projects to be successful, it is helpful if managers understand stakeholders' preferences for management objectives. We used best-worst scaling (BWS) to assess residents' preferences for management objective alternatives. The University of Minnesota, in collaboration with the Fond du Lac Band of Lake Superior Chippewa and the Rocky Mountain Elk Foundation, conducted a mail-back questionnaire of landowners (n = 4500) and the general public (n = 4000) in northeastern Minnesota to determine their attitudes toward elk reintroduction. Results suggest that the most preferred objectives were minimizing negative impacts on existing wildlife populations and reintroducing native species. In contrast, the least important objectives were related to providing elk viewing opportunities or maximizing economic opportunities through elk-related tourism. These findings help inform management objectives related to the reintroduction proposal, provide insight to minimize potential conflict and help develop future communication material related to elk reintroduction.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13200","usgsCitation":"Smith, K., Landon, A., Eric Waller, Fulton, D.C., Schrage, M.W., McCann, N., and Forester, J., 2025, Stakeholders' priorities for management of a restored elk (Cervus canadensis) population in northeast Minnesota: Conservation Science and Practice, v. 7, no. 7, e13200, 13 p., https://doi.org/10.1111/csp2.13200.","productDescription":"e13200, 13 p.","ipdsId":"IP-156969","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":494464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13200","text":"Publisher Index Page"},{"id":494387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.5,\n 47.333\n ],\n [\n -93.333,\n 47.333\n ],\n [\n -93.333,\n 46\n ],\n [\n -91.5,\n 46\n ],\n [\n -91.5,\n 47.333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"7","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Kyle","contributorId":280045,"corporation":false,"usgs":false,"family":"Smith","given":"Kyle","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":946642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Adam","contributorId":279439,"corporation":false,"usgs":false,"family":"Landon","given":"Adam","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":946643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eric Waller","contributorId":332298,"corporation":false,"usgs":false,"family":"Eric Waller","affiliations":[{"id":27609,"text":"Contractor to USGS","active":true,"usgs":false}],"preferred":false,"id":946644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fulton, David C. 0000-0001-5763-7887","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":333043,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":79716,"text":"Minnesota Cooperative Unit","active":true,"usgs":false}],"preferred":true,"id":946645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schrage, Michael W.","contributorId":288729,"corporation":false,"usgs":false,"family":"Schrage","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":61835,"text":"Fond du Lac Band of Lake Superior Chippewa","active":true,"usgs":false}],"preferred":false,"id":946646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCann, Nicholas","contributorId":360015,"corporation":false,"usgs":false,"family":"McCann","given":"Nicholas","affiliations":[{"id":33108,"text":"University of Minnesota Twin Cities","active":true,"usgs":false}],"preferred":false,"id":946647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Forester, James","contributorId":360016,"corporation":false,"usgs":false,"family":"Forester","given":"James","affiliations":[{"id":33108,"text":"University of Minnesota Twin Cities","active":true,"usgs":false}],"preferred":false,"id":946648,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70270319,"text":"70270319 - 2025 - Combining ecological and genomic diversity surveys to inform conservation and restoration of an endangered wetland plant, soft salty bird’s-beak (Chloropyron molle ssp. molle)","interactions":[],"lastModifiedDate":"2025-08-14T14:30:41.617611","indexId":"70270319","displayToPublicDate":"2025-06-16T09:23:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Combining ecological and genomic diversity surveys to inform conservation and restoration of an endangered wetland plant, soft salty bird’s-beak (Chloropyron molle ssp. molle)","docAbstract":"

Emergent tidal wetlands are declining globally as a result of sea level rise and land use change. This habitat loss can keenly affect rare plant species within wetlands, and may require restoration to meet species recovery goals related to retaining populations throughout species' ranges. Soft salty bird’s-beak (Chloropyron molle ssp. molle) is a federally- and state-endangered hemi-parasitic plant that occurs at the upper marsh transition zone in the San Francisco Bay–Delta, California, USA. We combined field surveys to document habitat associations and trends in abundance with genomic surveys to understand patterns of genetic structure in this rare endemic. We found that C. molle ssp. molle persisted at nine previously occupied marsh sites, although four sites (Hill Slough, MOTCO East, Fagan Marsh, and Joice Island) were smaller in population size than when surveyed in the 1990s. Additionally, twelve sites contained plots with suitable but unoccupied habitat that could be further assessed for restoration. Genomic analysis of over 40,000 single-nucleotide polymorphisms (SNPs) and 253 individuals grouped C. molle ssp. molle into six to seven regional genetic clusters with isolation by distance, and confirmed that C. molle ssp. molle is genetically distinct from adjacent populations of its closest relative (C. molle ssp. hispidum). The western-most C. molle ssp. molle sites of Point Pinole and Fagan Marsh were the most genetically and geographically isolated and had the lowest genome-wide diversity. Heterozygosity in sets of genes associated with tidal elevation, salinity, and annual and summer precipitation varied independently across populations. Overall, these genomic patterns indicate that selecting donor sites with similar environmental conditions and utilizing composite seeding approaches from multiple sites could allow for local adaptation to a range of possible environmental conditions. This comprehensive survey of habitat and genomic patterns can allow for the development of restoration actions and build climate-adaptation planning to help prevent the loss of a rare plant.

","language":"English","publisher":"University of California Davis","doi":"10.15447/sfews.2025v23iss2art5","usgsCitation":"Vandergast, A.G., Jones, S., Rankin, L.L., Bristow, M.L., Wood, D., and Thorne, K., 2025, Combining ecological and genomic diversity surveys to inform conservation and restoration of an endangered wetland plant, soft salty bird’s-beak (Chloropyron molle ssp. molle): San Francisco Estuary and Watershed Science, v. 23, no. 2, 5, 19 p., https://doi.org/10.15447/sfews.2025v23iss2art5.","productDescription":"5, 19 p.","ipdsId":"IP-166821","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":494200,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2025v23iss2art5","text":"Publisher Index Page"},{"id":494092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay-Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.62798204641327,\n 38.26781285138546\n ],\n [\n -122.62798204641327,\n 37.82370904712592\n ],\n [\n -121.42723094876217,\n 37.82370904712592\n ],\n [\n -121.42723094876217,\n 38.26781285138546\n ],\n [\n -122.62798204641327,\n 38.26781285138546\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"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":946027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Scott F. 0000-0002-1056-3785","orcid":"https://orcid.org/0000-0002-1056-3785","contributorId":204137,"corporation":false,"usgs":false,"family":"Jones","given":"Scott F.","affiliations":[{"id":36864,"text":"University of Louisiana Lafayette","active":true,"usgs":false}],"preferred":false,"id":946028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rankin, Lyndsay L. 0000-0003-4968-1946","orcid":"https://orcid.org/0000-0003-4968-1946","contributorId":332147,"corporation":false,"usgs":true,"family":"Rankin","given":"Lyndsay","email":"","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bristow, McKenna Leigh 0000-0003-2284-1380","orcid":"https://orcid.org/0000-0003-2284-1380","contributorId":330403,"corporation":false,"usgs":true,"family":"Bristow","given":"McKenna","middleInitial":"Leigh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":946031,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946032,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268280,"text":"70268280 - 2025 - Scoping decision-maker needs and science availability to support regional natural capital accounting in the U.S. Colorado River Basin","interactions":[],"lastModifiedDate":"2025-06-20T14:25:55.873314","indexId":"70268280","displayToPublicDate":"2025-06-16T09:18:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5943,"text":"One Ecosystem","active":true,"publicationSubtype":{"id":10}},"title":"Scoping decision-maker needs and science availability to support regional natural capital accounting in the U.S. Colorado River Basin","docAbstract":"

Natural capital accounting has the potential to yield important policy insights at multiple scales, but there remains a disconnect between regional-scale natural capital accounts and their use for informing policy. In this paper, we propose a roadmap that could lead to the creation of policy-relevant regional accounts, with steps split across an initial scoping phase and a subsequent development phase. We demonstrate the scoping steps in action with an application to the Colorado River Basin (“Basin”), a large watershed in the southwestern United States (U.S.) that has faced aridification and substantial high-profile tradeoffs around the use of its water and other natural resources. Drawing on prior U.S. Geological Survey science co-production efforts, we conducted a series of eight discussion sessions with 41 scientists and science representatives whose work is relevant to Basin water, riparian and riverine ecosystems, upland ecosystems and energy and minerals. We summarise participants' thoughts on key topics and economic linkages, their insights and questions of interest and their recommendations on existing scientific data sources and gaps. We evaluate the suitability of the available data for construction of System of Environmental-Economic Accounting (SEEA) Central Framework and SEEA Ecosystem Accounting accounts, including those for land, water, forests, energy and minerals and ecosystems (covering extent, condition and ecosystem services). We present a series of lessons learned during the scoping phase, as well as lessons that could be relevant for future practitioners engaging in the development phase. The information can help guide the development of timely and relevant regional-scale environmental-economic accounts in the U.S. and beyond.

","language":"English","publisher":"Pensoft","doi":"10.3897/oneeco.10.e147848","usgsCitation":"Enriquez, A.J., Bagstad, K.J., Dahm, K., Torregrosa, A.A., and Schuster, R., 2025, Scoping decision-maker needs and science availability to support regional natural capital accounting in the U.S. Colorado River Basin: One Ecosystem, v. 10, e147848, 52 p., https://doi.org/10.3897/oneeco.10.e147848.","productDescription":"e147848, 52 p.","ipdsId":"IP-174023","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":491491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/oneeco.10.e147848","text":"Publisher Index Page"},{"id":491021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah, Wyoming","otherGeospatial":"U.S. Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.17764090281825,\n 35.12554291280361\n ],\n [\n -115.22388348576852,\n 32.6714960288822\n ],\n [\n -114.64523348546022,\n 32.6959720389348\n ],\n [\n -114.5582296837352,\n 32.46385000374262\n ],\n [\n -110.89393838404563,\n 31.28075591535938\n ],\n [\n -108.2173723487556,\n 31.3251446765358\n ],\n [\n -108.06400182207712,\n 32.5291268823845\n ],\n [\n -107.30272225391106,\n 34.32342052943805\n ],\n [\n -106.69789963396444,\n 36.602443067829526\n ],\n [\n -106.09388936806188,\n 39.1986266984284\n ],\n [\n -106.25789166159434,\n 41.01272550000448\n ],\n [\n -107.60805391608476,\n 43.093170001656574\n ],\n [\n -109.76114321368557,\n 43.59470695967647\n ],\n [\n -110.44713900844467,\n 40.552785978119346\n ],\n [\n -111.67118335490603,\n 38.90891919021175\n ],\n [\n -113.11999353237276,\n 37.78177191496151\n ],\n [\n -114.42766368760466,\n 37.956578120783476\n ],\n [\n -115.13223455603163,\n 39.522533859344065\n ],\n [\n -116.8897305478193,\n 39.50565015228386\n ],\n [\n -116.08173233860414,\n 36.32307104415649\n ],\n [\n -115.17764090281825,\n 35.12554291280361\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Enriquez, Aaron Joey 0000-0002-0305-4333","orcid":"https://orcid.org/0000-0002-0305-4333","contributorId":346485,"corporation":false,"usgs":true,"family":"Enriquez","given":"Aaron","email":"","middleInitial":"Joey","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":940694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":940695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dahm, Katharine G.","contributorId":357078,"corporation":false,"usgs":false,"family":"Dahm","given":"Katharine G.","affiliations":[{"id":85322,"text":"Office of Natural Resources Revenue","active":true,"usgs":false}],"preferred":false,"id":940696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":940697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":940698,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268193,"text":"70268193 - 2025 - Drought and deluge— Opportunities for climate-change adaptation in US national parks","interactions":[],"lastModifiedDate":"2025-09-09T14:39:38.872041","indexId":"70268193","displayToPublicDate":"2025-06-16T09:06:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Drought and deluge— Opportunities for climate-change adaptation in US national parks","docAbstract":"

In a changing climate, resource management depends on anticipating changes and considering uncertainties. To facilitate effective decision making on public lands, we regionally summarized the magnitude and uncertainty of projected change in management-relevant climate variables for 332 national park units across the contiguous US. Temperature, frequency of extreme precipitation events, and drought exposure are all projected to increase within seven regions delineated in the US National Climate Assessment. In particular, the anticipated collective impacts of droughts and flooding events will lead to unique management challenges, including combinations of management actions that may seem inconsistent. Furthermore, uncertainty in the magnitude of change varied by region and climate variable considered, pointing to specific opportunities for prioritization, transferability, and innovation of climate adaptation regionally and at the park-unit scale.

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No abstract available.

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\"}}]}","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":947423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanks, John","contributorId":360685,"corporation":false,"usgs":false,"family":"Hanks","given":"John","affiliations":[{"id":62256,"text":"LDWF","active":true,"usgs":false}],"preferred":false,"id":947424,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70268362,"text":"70268362 - 2025 - Characterizing water-quality response after the 2020 Cameron Peak Fire using a novel application of the Weighted Regressions on Time, Discharge, and Season method","interactions":[],"lastModifiedDate":"2025-06-24T14:08:12.18671","indexId":"70268362","displayToPublicDate":"2025-06-16T09:02:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing water-quality response after the 2020 Cameron Peak Fire using a novel application of the Weighted Regressions on Time, Discharge, and Season method","docAbstract":"

The frequency and severity of wildfire activity in the western United States emphasises the utility of hydrologic models to predict water-quality response. This study presents a novel application of the Weighted Regressions on Time, Discharge and Season (WRTDS) method to assess potential changes in water quality in two watersheds draining the North Fork Big Thompson River and Buckhorn Creek in Larimer County, Colorado that were affected by the 2020 Cameron Peak Fire. WRTDS models were developed using 12 years of pre-fire data and used to estimate the expected constituent concentrations for each sample collected in the post-fire record. The predicted constituent concentrations modelled in this manner are representative of conditions in the absence of fire and allow pre-fire and post-fire stream chemistry to be quantitatively compared. Nitrate and total phosphorus concentrations showed the greatest differences between the observed and predicted concentrations, which were up to 153% greater than expected. We linked changes in source inputs and elevation as likely controls on the difference in magnitude and timing of response between the two watersheds. Post-fire arsenic and manganese concentrations were greater than the predicted concentrations in both watersheds, with arsenic up to 42% greater and manganese up to 85% greater than the model predictions. Post-fire calcium, magnesium, chloride and sulphate concentrations were greater than model predictions at the North Fork and less than the predictions at Buckhorn. We argue that greater burn severity at Buckhorn likely reduced soil–water infiltration and led to bypassed subsurface flow paths through a major lithologic source of these constituents. Post-fire changes in total organic carbon and dissolved iron concentrations were weakly supported by the model results, as observed concentrations were largely within the bounds of expected values calculated from the pre-fire model. The novel approach to WRTDS presented in this study could be a useful tool for water-quality assessments after land disturbances in the western United States.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70178","usgsCitation":"Ruckhaus, M.H., Clow, D.W., Hirsch, R.M., and Chapin, T.W., 2025, Characterizing water-quality response after the 2020 Cameron Peak Fire using a novel application of the Weighted Regressions on Time, Discharge, and Season method: Hydrological Processes, v. 39, no. 6, e70178, 21 p., https://doi.org/10.1002/hyp.70178.","productDescription":"e70178, 21 p.","ipdsId":"IP-171701","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":491489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.70178","text":"Publisher Index Page"},{"id":491178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Larimer County","otherGeospatial":"Buckhorn Creek watershed, North Fork Big Thompson River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.1667,\n 40.75\n ],\n [\n -106,\n 40.75\n ],\n [\n -106,\n 40.333\n ],\n [\n -105.1667,\n 40.333\n ],\n [\n -105.1667,\n 40.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"39","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruckhaus, Manya Helene 0009-0006-3111-1127","orcid":"https://orcid.org/0009-0006-3111-1127","contributorId":344234,"corporation":false,"usgs":true,"family":"Ruckhaus","given":"Manya","email":"","middleInitial":"Helene","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":941105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapin, Tanner William 0000-0003-3905-3241","orcid":"https://orcid.org/0000-0003-3905-3241","contributorId":297923,"corporation":false,"usgs":true,"family":"Chapin","given":"Tanner","email":"","middleInitial":"William","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941106,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273481,"text":"70273481 - 2025 - Evaluating slash piles as habitat for a threatened salamander","interactions":[],"lastModifiedDate":"2026-01-16T15:07:00.084464","indexId":"70273481","displayToPublicDate":"2025-06-16T09:02:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating slash piles as habitat for a threatened salamander","docAbstract":"

Background

Amplified wildfire activity in forests of the western United States threatens biodiversity. Fuel treatments can reduce fire severity, modify fire behavior, and restore forest structure and composition, yet impacts of some treatments, including slash piling and burning, on wildlife have received little attention. Piling of residual woody material may create habitable microenvironments for species that require cool, moist microclimates for all biological and ecological functions. One such species, the Sacramento Mountain salamander (Aneides hardii Taylor), a relictual, endemic salamander narrowly distributed in the mountains of south-central New Mexico, USA, has been found below constructed slash piles within its range, but the characteristics of occupied slash piles and the extent of their occupancy has not yet been quantified. We surveyed for Sacramento Mountain salamanders in slash piles and under logs (cover objects) adjacent to piles and within a surrounding survey plot, and related salamander occupancy to slash pile and cover object characteristics, soil moisture and temperature, and environmental setting.

Results

We found Sacramento Mountain salamanders in 50% of surveyed slash piles. About 90% of salamanders were found in piles that contained black plastic sheeting, which held accumulations of moist leaf litter and other forest debris. We found no differences in pile characteristics, soil variables, or environmental setting between piles occupied by salamanders and piles in which no salamanders were detected. Salamander density was highest in slash piles, ~ 10% lower under cover objects in the survey area, and ~ 23% lower under cover objects adjacent to slash piles.

Conclusions

Slash piles serve as habitat for Sacramento Mountain salamanders. Our results suggest that within our study area or similar environments within the species range, any comparable slash pile has the potential to be occupied by salamanders. Species and habitat conservation measures indicated by this study and the timing of historical detections into mid-October include constructing smaller, pyramidal piles that minimize log-on-log or log-ground contact, avoiding the inclusion of black plastic in piles, limiting residence time of piles on the landscape, and initiating pile burning in late October or early November, when most salamanders are likely to have retreated below the ground surface.

","language":"English","publisher":"Springer","doi":"10.1186/s42408-025-00381-4","collaboration":"University of Rhode Island","usgsCitation":"Loehman, R.A., and Karraker, N.E., 2025, Evaluating slash piles as habitat for a threatened salamander: Fire Ecology, v. 21, 36, 18 p., https://doi.org/10.1186/s42408-025-00381-4.","productDescription":"36, 18 p.","ipdsId":"IP-124527","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":498916,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-025-00381-4","text":"Publisher Index Page"},{"id":498739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Lincoln National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.4616018244409,\n 32.86352310900293\n ],\n [\n -105.4616018244409,\n 32.775897714349966\n ],\n [\n -105.30671714574738,\n 32.775897714349966\n ],\n [\n -105.30671714574738,\n 32.86352310900293\n ],\n [\n -105.4616018244409,\n 32.86352310900293\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":953895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karraker, Nancy E","contributorId":365192,"corporation":false,"usgs":false,"family":"Karraker","given":"Nancy","middleInitial":"E","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":953896,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70270652,"text":"70270652 - 2025 - Adoption of non‐related goslings and intergenerational family cohesion among Greenland White‐fronted Geese (Anser albifrons flavirostris)","interactions":[],"lastModifiedDate":"2025-09-22T16:02:21.137379","indexId":"70270652","displayToPublicDate":"2025-06-16T08:51:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5306,"text":"International Journal of Avian Science ","active":true,"publicationSubtype":{"id":10}},"title":"Adoption of non‐related goslings and intergenerational family cohesion among Greenland White‐fronted Geese (Anser albifrons flavirostris)","docAbstract":"

Greenland White-fronted Geese Anser albifrons flavirostris exhibit prolonged parent–offspring and sibling–sibling associations, suggesting fitness advantages to such behaviour, so we used reduced representation genome sequence data to determine the degree to which marked flock members observed associating in apparent parent–offspring and sibling–sibling relationships in the field were genetically related. Among 50 bled, marked and released geese, we genetically identified members of 11 different family groups, confirming all observed male parent–offspring relationships as genetically predicted, but only 10 out of 12 (83%) possible female parent–offspring relationships (i.e. two offspring were not genetically related to the adult female in their family groups observed in the field); these two ‘adopted’ offspring were responsible for four (15%) of the cases where observed ‘siblings’ were not genetically related to other family-member first-winter birds with which they associated. One multigenerational family consisted of three genetically confirmed grandmother–mother–sibling offspring relationships, not previously reported in arctic-nesting geese, as well as one of the two ‘adopted’ first-winter geese.

","language":"English","publisher":"Wiley","doi":"10.1111/ibi.13427","usgsCitation":"Wilson, R.E., Sonsthagen, S.A., Walsh, A.J., and Fox, A.D., 2025, Adoption of non‐related goslings and intergenerational family cohesion among Greenland White‐fronted Geese (Anser albifrons flavirostris): International Journal of Avian Science , v. 167, no. 4, p. 1080-1088, https://doi.org/10.1111/ibi.13427.","productDescription":"9 p.","startPage":"1080","endPage":"1088","ipdsId":"IP-174546","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494530,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495044,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ibi.13427","text":"Publisher Index Page"}],"country":"Ireland","otherGeospatial":"Wexford Slobs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -6.553981049791275,\n 52.35040040236751\n ],\n [\n -6.553981049791275,\n 52.30553195975094\n ],\n [\n -6.437262464425345,\n 52.30553195975094\n ],\n [\n -6.437262464425345,\n 52.35040040236751\n ],\n [\n -6.553981049791275,\n 52.35040040236751\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"167","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Robert E.","contributorId":360078,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert","middleInitial":"E.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":946771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":353767,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Alyn J.","contributorId":360080,"corporation":false,"usgs":false,"family":"Walsh","given":"Alyn","middleInitial":"J.","affiliations":[{"id":85967,"text":"National Parks and Wildlife Service, Ireland","active":true,"usgs":false}],"preferred":false,"id":946773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fox, Anthony D.","contributorId":360082,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","middleInitial":"D.","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":946774,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268228,"text":"70268228 - 2025 - Long-term geomorphic response of a southwestern USA river following establishment and removal of an invasive riparian tree","interactions":[],"lastModifiedDate":"2025-06-18T14:56:38.018529","indexId":"70268228","displayToPublicDate":"2025-06-15T07:48:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Long-term geomorphic response of a southwestern USA river following establishment and removal of an invasive riparian tree","docAbstract":"

Invasion of non-native riparian vegetation along southwestern USA rivers is associated with channel narrowing and simplification, prompting numerous and varied removal efforts. Channel width and migration rate often, but not always, increase following treatment. The cause of this variability and the duration of response is poorly understood. Using flow records and aerial imagery we quantified measurement uncertainty, change in channel width and rates of floodplain formation and erosion relative to annual peak flows before and during the invasion of Russian olive (Elaeagnus angustifolia L.), and following removal, along the Escalante River, Utah, over a fifty-year period. Prior to the invasion, the Escalante River was undergoing a decades-long narrowing process following large, turn-of-the-20th-century floods. Russian olive created a unique geomorphic shift in the observed pattern of channel change. Dense, channel-edge establishment and morphological traits including dense, inflexible branches, resulted in enhanced channel narrowing. Because the initial spread of Russian olive was from upstream to downstream, the Russian olive forest was wider and older upstream than downstream. Consequently, channel narrowing was greater and floodplain erosion rates had already decreased in upstream reaches compared to downstream. Russian olive removal increased channel width and floodplain erosion rates in upstream reaches, where Russian olive was most abundant. In contrast, downstream reaches continued to narrow. Small but detectable increases in rates of floodplain erosion across all reaches, and increased sinuosity in some, suggest the channel is becoming more mobile in the absence of Russian olive. Results indicate channel adjustment to Russian olive removal is spatially variable and may take a decade or more. With continued expansion of native riparian vegetation, future narrowing is likely during sustained low peak flows and large-scale widening is unlikely in the absence of extreme floods or physical removal of existing riparian vegetation.

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This document examines the Chesapeake Bay watershed response to nutrient and sediment reduction efforts under the Clean Water Act's total maximum daily load (TMDL) regulation. As the 2025 Chesapeake Bay TMDL deadline approaches, water quality goals remain unmet, primarily because of nonpoint source pollution, the largest remaining source of nutrients and sediment, and the primary obstacle to meeting the TMDL. We focus on the factors influencing the gap between the expected effect of management to reduce nonpoint source loads reaching the Bay and empirical evidence suggesting that decades of effort have not produced the expected improvement. This gap may be caused by both insufficient scale and type of implemented water quality management practices and by an overestimation of practice effectiveness. Reasons water quality goals remain unmet include legacy nutrients and lag times masking or delaying the effects of management efforts, areas with large nutrient mass imbalances contributing disproportionate loads, and the difficulty of incentivizing behavior change in voluntary nonpoint source programs. Closing the response gap may require fundamental changes to nonpoint source programs. Apart from seeking additional funding, nonpoint source programs could develop policies to more effectively incentivize behavior change, identify and target treatment of high loading areas with appropriate management actions, and address nutrient mass imbalances.

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Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":940546,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Palm-Forster, Leah","contributorId":356967,"corporation":false,"usgs":false,"family":"Palm-Forster","given":"Leah","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":940547,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shabman, Leonard","contributorId":356971,"corporation":false,"usgs":false,"family":"Shabman","given":"Leonard","affiliations":[{"id":36572,"text":"Resources for the Future","active":true,"usgs":false}],"preferred":false,"id":940548,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wynn-Thompson, 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and historical record","docAbstract":"Large surface-rupturing intraplate earthquakes in stable continental regions (SCRs) are uncommon globally and have recurrence intervals of thousands to hundreds of thousands of years based on the paleoseismic and geomorphic record, challenging accurate active fault identification in these regions. To constrain the timescales of preservation for scarps created by surface ruptures from dip-slip earthquakes, we use a two-dimensional scarp diffusion model for typical intraplate settings and explore which parameters influence fault scarp preservation. These parameters include the coseismic vertical surface offset, the recurrence interval of similar magnitude earthquakes, diffusivity (as a proxy for mean annual precipitation rate), and the erodibility of the surficial material. We constrain parameter ranges from a compilation of historical surface ruptures in intraplate settings in a variety of climates, including the Central and Eastern United States, Australia, Europe, Central Asia (Mongolia, China), India, and West Africa. The timescales of scarp preservation from landscape evolution modeling agree well with observations of scarp preservation in low-strain SCR and intraplate tectonic settings, with some notable exceptions for Australian scarps. We find that the erodibility of the surficial material and earthquake recurrence interval have a stronger effect on the timescales of scarp preservation than diffusivity or coseismic vertical surface offset. Our model results may aid in identifying and characterizing subtle, slow-moving active faults in low-strain SCR and intraplate tectonic settings for different tectonic, geomorphic, and climatic characteristics. Accurate fault locations and characterization from the landscape record has implications for both probabilistic seismic and fault displacement hazard analyses.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB029966","usgsCitation":"Jobe, J.A., and Reitman, N.G., 2025, Timescales of surface faulting preservation in low-strain intraplate regions from landscape evolution modeling and the geomorphic and historical record: Journal of Geophysical Research Solid Earth, v. 130, no. 6, e2024JB029966, 26 p., https://doi.org/10.1029/2024JB029966.","productDescription":"e2024JB029966, 26 p.","ipdsId":"IP-169391","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":492286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson Jobe, Jessica A. 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943117,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70268397,"text":"70268397 - 2025 - An Eastern Ribbonsnake, Thamnophis sauritus (Linnaeus, 1766), scavenging on a roadkilled Cuban Treefrog, Osteopilus septentrionalis, (Duméril & Bibron, 1841), in Everglades National Park, Florida, USA","interactions":[],"lastModifiedDate":"2025-06-25T14:47:25.091099","indexId":"70268397","displayToPublicDate":"2025-06-13T09:42:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1899,"text":"Herpetology Notes","active":true,"publicationSubtype":{"id":10}},"displayTitle":"An Eastern Ribbonsnake, Thamnophis sauritus (Linnaeus, 1766), scavenging on a roadkilled Cuban Treefrog, Osteopilus septentrionalis, (Duméril & Bibron, 1841), in Everglades National Park, Florida, USA","title":"An Eastern Ribbonsnake, Thamnophis sauritus (Linnaeus, 1766), scavenging on a roadkilled Cuban Treefrog, Osteopilus septentrionalis, (Duméril & Bibron, 1841), in Everglades National Park, Florida, USA","docAbstract":"

No abstract available.

","language":"English","publisher":"Societas Europaea Herpetologica","usgsCitation":"Payne, S., Lane, E., Dunlap, F., Vasquez, M., Metcalf, M., McBride, L.M., Sherburne, S., Romagosa, C., Kissel, A.M., Yackel Adams, A.A., and Sandfoss, M.R., 2025, An Eastern Ribbonsnake, Thamnophis sauritus (Linnaeus, 1766), scavenging on a roadkilled Cuban Treefrog, Osteopilus septentrionalis, (Duméril & Bibron, 1841), in Everglades National Park, Florida, USA: Herpetology Notes, v. 18, p. 387-388.","productDescription":"2 p.","startPage":"387","endPage":"388","ipdsId":"IP-172869","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":491263,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://herpetologynotes.org/index.php/hn/article/view/39","linkFileType":{"id":5,"text":"html"}},{"id":491280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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0000-0002-5413-5192","orcid":"https://orcid.org/0000-0002-5413-5192","contributorId":356279,"corporation":false,"usgs":true,"family":"Metcalf","given":"Matthew Fox","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":941210,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McBride, Lisa Marie 0000-0003-4558-5391","orcid":"https://orcid.org/0000-0003-4558-5391","contributorId":303824,"corporation":false,"usgs":true,"family":"McBride","given":"Lisa","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":941211,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sherburne, Sarah Rae 0000-0002-2351-769X","orcid":"https://orcid.org/0000-0002-2351-769X","contributorId":356280,"corporation":false,"usgs":true,"family":"Sherburne","given":"Sarah Rae","affiliations":[{"id":291,"text":"Fort Collins Science 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yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":941215,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sandfoss, Mark Robert 0000-0002-0162-7265","orcid":"https://orcid.org/0000-0002-0162-7265","contributorId":328884,"corporation":false,"usgs":true,"family":"Sandfoss","given":"Mark","email":"","middleInitial":"Robert","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":941216,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70262138,"text":"70262138 - 2025 - Sustainability trade-offs across modeled floating solar waterscapes of the Northeastern United States","interactions":[],"lastModifiedDate":"2025-08-04T15:52:31.715077","indexId":"70262138","displayToPublicDate":"2025-06-13T09:38:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21644,"text":"Cell Reports Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Sustainability trade-offs across modeled floating solar waterscapes of the Northeastern United States","docAbstract":"

Expansion of floating photovoltaic (FPV) solar systems provides a low-conflict renewable energy option to help mitigate climate change while sparing land, but potential sustainability trade-offs remain unquantified. We compare the technical potential of maximum FPV deployment to address the climate crisis with FPV-buildout scenarios that prioritize biodiversity and social values across waterscapes. FPV deployment on all technically suitable waterbodies (3.5% of available sites) in the Northeastern US could generate nearly a quarter of the region’s solar energy while offsetting all the land required for solar by 2050, but trade-offs, including maintenance of freshwater biodiversity and recreational benefits, exist. Avoidance of socioenvironmental interactions yields FPV-electricity generation potential equal to a 5% increase in regional solar generation while sparing water for biodiversity and social values, though opportunities for co-location make this a conservative estimate. Our framework extends technical potential assessments to holistically inform FPV siting and support diverse Sustainable Development Goals.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.crsus.2025.100423","usgsCitation":"Gallaher, A., Kalies, E., and Grodsky, S.M., 2025, Sustainability trade-offs across modeled floating solar waterscapes of the Northeastern United States: Cell Reports Sustainability, v. 2, no. 7, 100423, 15 p., https://doi.org/10.1016/j.crsus.2025.100423.","productDescription":"100423, 15 p.","ipdsId":"IP-166158","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":491012,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.crsus.2025.100423","text":"Publisher Index Page"},{"id":490768,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, Virginia, West 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\"}}]}","volume":"2","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Gallaher, Adam","contributorId":348210,"corporation":false,"usgs":false,"family":"Gallaher","given":"Adam","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":923251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalies, Elizabeth L.","contributorId":348212,"corporation":false,"usgs":false,"family":"Kalies","given":"Elizabeth L.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":923252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit 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Uranium (U) in rocks and soils of arid and semi-arid environments can be mobilized by irrigation and fertilization, posing environmental and health risks. Elevated U, along with selenium (Se) and nitrate (NO3) co-constituents, necessitates careful monitoring and management. We developed a distributed-parameter numerical model to assess U pollution in an irrigated stream-aquifer system, applying it to a 552 km2 region in Colorado's Lower Arkansas River Valley (LARV) over 14 years. A MODFLOW model, describing groundwater and stream flow, was coupled with an RT3D-OTIS model to portray reactive U transport. Calibration using the PESTPP-iES iterative ensemble smoother (iES) software indicated good agreement with observed U concentrations. The model revealed substantial and variable U levels across the LARV, highlighting potential hotspots and possible contributing factors, such as geological composition of the bedrock and near-surface shale and aquifer sediments derived from them, irrigation practices, and riparian landscape. U levels exceed the chronic standard (85th percentile = 30 μg/L, set by the US Environmental Protection Agency), which is the permissible regulatory threshold, in groundwater across 44 % of the region and along the river by an average factor of 2.9. Simulated average U concentrations in the non-riparian aquifer and river are 124 μg/L and 60 μg/L, respectively, compared with 112 μg/L and 62 μg/L for measured values. The average 85th percentile U concentration is 222 μg/L in the aquifer and 82 μg/L in the river. Average simulated U mass loading to the river is 0.17 kg/day per km, compared to an estimated 0.23 kg/day per km. Findings provide a baseline for comparing future simulated outcomes of alternative best management practices (BMPs) for U pollution mitigation and offer a methodology applicable to other irrigated regions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.179861","usgsCitation":"Qurban, I., Gates, T., Morway, E.D., Cox, J., White, J., Bailey, R.T., and Fienen, M., 2025, Assessing nonpoint-source uranium pollution in an irrigated stream-aquifer system: Science of the Total Environment, v. 989, 179861, 22 p., https://doi.org/10.1016/j.scitotenv.2025.179861.","productDescription":"179861, 22 p.","ipdsId":"IP-165259","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":490987,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.179861","text":"Publisher Index Page"},{"id":490832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Lower Arkansas River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.84418826977637,\n 38.499618485687876\n ],\n [\n -104.84418826977637,\n 37.73373680491562\n ],\n [\n -102.09264905018665,\n 37.73373680491562\n ],\n [\n -102.09264905018665,\n 38.499618485687876\n ],\n [\n -104.84418826977637,\n 38.499618485687876\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"989","noUsgsAuthors":false,"publicationDate":"2025-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Qurban, Ibraheem A.","contributorId":356917,"corporation":false,"usgs":false,"family":"Qurban","given":"Ibraheem A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":940473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gates, Timothy K. 0000-0003-4702-4395","orcid":"https://orcid.org/0000-0003-4702-4395","contributorId":356920,"corporation":false,"usgs":false,"family":"Gates","given":"Timothy K.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":940474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cox, John T. 0000-0002-2956-0285","orcid":"https://orcid.org/0000-0002-2956-0285","contributorId":356923,"corporation":false,"usgs":false,"family":"Cox","given":"John T.","affiliations":[{"id":85282,"text":"W.W. Wheeler & Associates","active":true,"usgs":false}],"preferred":false,"id":940476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Jeremy T. 0000-0002-4950-1469","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":248830,"corporation":false,"usgs":false,"family":"White","given":"Jeremy T.","affiliations":[{"id":50032,"text":"GNS New Zealand","active":true,"usgs":false}],"preferred":false,"id":940477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, Ryan T. 0000-0002-6539-1474","orcid":"https://orcid.org/0000-0002-6539-1474","contributorId":204129,"corporation":false,"usgs":false,"family":"Bailey","given":"Ryan","email":"","middleInitial":"T.","affiliations":[{"id":36859,"text":"Colorado State University, Department of Civil and Environmental Engineerring","active":true,"usgs":false}],"preferred":false,"id":940478,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940479,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268218,"text":"70268218 - 2025 - Origins and fluxes of gas emissions from the Central Volcanic Zone of the Andes","interactions":[],"lastModifiedDate":"2025-06-17T14:30:11.472409","indexId":"70268218","displayToPublicDate":"2025-06-13T09:19:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Origins and fluxes of gas emissions from the Central Volcanic Zone of the Andes","docAbstract":"

We present geochemical data from gas samples from ∼1200 km of arc in the Central Volcanic Zone of the Andes (CVZA), the volcanic arc with the thickest (∼70 km) continental crust globally. The primary goals of this study are to characterize and understand how magmatic gases interact with hydrothermal systems, assess the origins of the major gas species, and constrain gas emission rates. To this end, we use gas chemistry, isotope compositions of H, O, He, C, and S, and SO2 fluxes from the CVZA. Gas and isotope ratios (CO2/ST, CO2/CH4, H2O/ST, δ13C, δ34S, 3He/4He) vary dramatically as magmatic gases are progressively affected by hydrothermal processes, reflecting removal and crustal sequestration of reactive species (e.g., S) and addition of less reactive meteoric and crustal components (e.g., He). The observed variations are similar in magnitude to those expected during the magmatic reactivation of volcanoes with hydrothermal systems. Carbon and sulfur isotope compositions of the highest temperature emissions (97–408 °C) are typical of arc magmatic gases. Helium isotope compositions reach values similar to upper mantle in some volcanic gases indicating that transcustal magma systems are effective conduits for volatiles, even through very thick continental crust. However, He isotopes are highly sensitive to even low degrees of hydrothermal interaction and radiogenic overprinting. Previous work has significantly underestimated volatile fluxes from the CVZA; however, emission rates from this study also appear to be lower than typical arcs, which may be related to crustal thickness.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2025.108382","usgsCitation":"de Moor, J., Barry, P., Rodriguez, A., Aguilera, F., Aguilera, M., Gonzalez, C., Layana, S., Chiodi, A., Apaza, F., Masias, P., Kern, C., Barnes, J., Cullen, J.T., Bastoni, D., Bastianoni, A., Cascone, M., Jimenez, C., Salas-Navarro, J., Ramirez, C., Jessen, G., Giovannelli, D., and Lloyd, K., 2025, Origins and fluxes of gas emissions from the Central Volcanic Zone of the Andes: Journal of Volcanology and Geothermal Research, v. 466, 108382, 18 p., https://doi.org/10.1016/j.jvolgeores.2025.108382.","productDescription":"108382, 18 p.","ipdsId":"IP-170019","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":490986,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2025.108382","text":"Publisher Index Page"},{"id":490831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina, Bolivia, Chile, Peru","otherGeospatial":"Central Volcanic Zone of the Andes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74,\n -14\n ],\n [\n -74,\n -28\n ],\n [\n -64,\n -28\n ],\n [\n -64,\n -14\n ],\n [\n -74,\n -14\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"466","noUsgsAuthors":false,"publicationDate":"2025-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"de Moor, J. Maarten","contributorId":353456,"corporation":false,"usgs":false,"family":"de Moor","given":"J. Maarten","affiliations":[{"id":38348,"text":"Observatorio Vulcanológico y Sismológico de Costa Rica, Universidad Nacional, Heredia, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":940484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barry, Peter","contributorId":267752,"corporation":false,"usgs":false,"family":"Barry","given":"Peter","affiliations":[{"id":13294,"text":"Woods Hole Oceanographic Institute","active":true,"usgs":false}],"preferred":false,"id":940485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodriguez, Alejandro","contributorId":356931,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Alejandro","affiliations":[{"id":37066,"text":"OVSICORI","active":true,"usgs":false}],"preferred":false,"id":940486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aguilera, Felipe","contributorId":256986,"corporation":false,"usgs":false,"family":"Aguilera","given":"Felipe","email":"","affiliations":[{"id":51939,"text":"Universidad de Atacama, Chile","active":true,"usgs":false}],"preferred":false,"id":940487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aguilera, Mauricio","contributorId":335911,"corporation":false,"usgs":false,"family":"Aguilera","given":"Mauricio","email":"","affiliations":[{"id":80578,"text":"Millennium Institute on Volcanic Risk Research - Ckelar Volcanoes; Universidad Católica del Norte","active":true,"usgs":false}],"preferred":false,"id":940488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonzalez, Cristobal","contributorId":356934,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Cristobal","affiliations":[{"id":85288,"text":"Ckelar Volcanoes","active":true,"usgs":false}],"preferred":false,"id":940489,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Layana, Susana 0000-0002-0185-373X","orcid":"https://orcid.org/0000-0002-0185-373X","contributorId":335908,"corporation":false,"usgs":false,"family":"Layana","given":"Susana","email":"","affiliations":[{"id":80576,"text":"Millennium Institute on Volcanic Risk Research - Ckelar Volcanoes","active":true,"usgs":false}],"preferred":false,"id":940490,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chiodi, Agostina","contributorId":356935,"corporation":false,"usgs":false,"family":"Chiodi","given":"Agostina","affiliations":[{"id":85291,"text":"Instituto de Bio y Geociencias del NOA","active":true,"usgs":false}],"preferred":false,"id":940491,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Apaza, Fredy","contributorId":190927,"corporation":false,"usgs":false,"family":"Apaza","given":"Fredy","email":"","affiliations":[],"preferred":false,"id":940492,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Masias, Pablo","contributorId":190934,"corporation":false,"usgs":false,"family":"Masias","given":"Pablo","email":"","affiliations":[],"preferred":false,"id":940493,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":940494,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Barnes, Jaime D.","contributorId":140886,"corporation":false,"usgs":false,"family":"Barnes","given":"Jaime D.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":940495,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cullen, Jeffrey T.","contributorId":140885,"corporation":false,"usgs":false,"family":"Cullen","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":940496,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bastoni, Deborah","contributorId":356936,"corporation":false,"usgs":false,"family":"Bastoni","given":"Deborah","affiliations":[{"id":47714,"text":"University of Naples","active":true,"usgs":false}],"preferred":false,"id":940497,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bastianoni, Alessia","contributorId":356937,"corporation":false,"usgs":false,"family":"Bastianoni","given":"Alessia","affiliations":[{"id":47714,"text":"University of Naples","active":true,"usgs":false}],"preferred":false,"id":940498,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Cascone, Martina","contributorId":356938,"corporation":false,"usgs":false,"family":"Cascone","given":"Martina","affiliations":[{"id":47714,"text":"University of Naples","active":true,"usgs":false}],"preferred":false,"id":940499,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Jimenez, Christofer","contributorId":356939,"corporation":false,"usgs":false,"family":"Jimenez","given":"Christofer","affiliations":[{"id":37066,"text":"OVSICORI","active":true,"usgs":false}],"preferred":false,"id":940500,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Salas-Navarro, Jessica","contributorId":356940,"corporation":false,"usgs":false,"family":"Salas-Navarro","given":"Jessica","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":940501,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ramirez, Carlos","contributorId":177061,"corporation":false,"usgs":false,"family":"Ramirez","given":"Carlos","email":"","affiliations":[],"preferred":false,"id":940502,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Jessen, Gerdhard","contributorId":356941,"corporation":false,"usgs":false,"family":"Jessen","given":"Gerdhard","affiliations":[{"id":37760,"text":"Universidad Austral de Chile","active":true,"usgs":false}],"preferred":false,"id":940503,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Giovannelli, Donato","contributorId":356942,"corporation":false,"usgs":false,"family":"Giovannelli","given":"Donato","affiliations":[{"id":85292,"text":"Woods Hole","active":true,"usgs":false}],"preferred":false,"id":940504,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Lloyd, Karen","contributorId":355874,"corporation":false,"usgs":false,"family":"Lloyd","given":"Karen","affiliations":[{"id":47795,"text":"USC","active":true,"usgs":false}],"preferred":false,"id":940505,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70268357,"text":"70268357 - 2025 - Canopy and surface fuels measurement using terrestrial lidar single-scan approach in the Mogollon highlands of Arizona","interactions":[],"lastModifiedDate":"2025-06-23T14:08:47.814199","indexId":"70268357","displayToPublicDate":"2025-06-13T09:03:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Canopy and surface fuels measurement using terrestrial lidar single-scan approach in the Mogollon highlands of Arizona","docAbstract":"
Background

Fuel monitoring data are essential to evaluate wildfire risk, plan management activities and evaluate fuel treatment effects. Terrestrial light detection and ranging (lidar) is a field-based 3D scanning technology with great potential to reduce labor-intensive field measurements and provide new depths of vegetation structure data.

Aims

To facilitate the integration of terrestrial lidar into fuel monitoring programs, we developed a model, training process, and Python program that produces canopy fuel, surface fuel and terrain metrics commonly used in fire behavior and fire risk modeling.

Methods

We estimated canopy and surface fuel metrics from terrestrial lidar using a semi-empirical model incorporating physically based modeling of leaf area density and occlusion and a non-destructive model calibration process leveraging Bayesian regression. We compared lidar-derived fuel estimates with conventional fuel estimates across diverse conditions in semi-arid shrubland, woodland and forest in Arizona. We also compared estimates using single- and multiple-scan modes.

Key results

In single-scan mode, our lidar-derived fuel estimates were significantly related to conventional estimates of total canopy fuel load, maximum canopy bulk density, downed surface fuel load and standing surface fuel load.

Implications

Our methods provide opportunities to increase the scalability of fuel monitoring to better understand wildfire risk and treatment effectiveness.

","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF24221","usgsCitation":"Tenny, J., Sankey, T.T., Munson, S.M., Sánchez Meador, A., and Goetz, S.J., 2025, Canopy and surface fuels measurement using terrestrial lidar single-scan approach in the Mogollon highlands of Arizona: International Journal of Wildland Fire, v. 34, no. 7, WF24221, 15 p., https://doi.org/10.1071/WF24221.","productDescription":"WF24221, 15 p.","ipdsId":"IP-172468","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491454,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf24221","text":"Publisher Index Page"},{"id":491095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Mogollon Highlands","volume":"34","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Tenny, Johnathan T.","contributorId":357286,"corporation":false,"usgs":false,"family":"Tenny","given":"Johnathan T.","affiliations":[{"id":85397,"text":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, 1298 S. Knoles Drive, Flagstaff, AZ 86011, United States","active":true,"usgs":false}],"preferred":false,"id":941069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Temuulen Tsagaan","contributorId":149290,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","email":"","middleInitial":"Tsagaan","affiliations":[],"preferred":false,"id":941070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":941071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sánchez Meador, Andrew J.","contributorId":357287,"corporation":false,"usgs":false,"family":"Sánchez Meador","given":"Andrew J.","affiliations":[{"id":85399,"text":"School of Forestry, Northern Arizona University, Flagstaff, Arizona, United States; Ecological Restoration Institute, Northern Arizona University, Flagstaff, Arizona, United States","active":true,"usgs":false}],"preferred":false,"id":941072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goetz, Scott J.","contributorId":222547,"corporation":false,"usgs":false,"family":"Goetz","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":40559,"text":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":941073,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268346,"text":"70268346 - 2025 - Diamondback terrapin resource use in a seagrass-dominated coastal bay varies by life stage","interactions":[],"lastModifiedDate":"2025-06-23T14:02:40.885581","indexId":"70268346","displayToPublicDate":"2025-06-13T08:58:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Diamondback terrapin resource use in a seagrass-dominated coastal bay varies by life stage","docAbstract":"

Diamondback terrapins, hereafter referred to as terrapins, are the only estuarine turtle species native to North America. However, terrapins are also occasionally found in marine habitats, such as seagrass beds, and yet little is known about how they use those marine habitats. We sampled epidermis from terrapins (Malaclemys terrapin macrospilota) inhabiting a seagrass-dominated coastal bay in Northwest Florida and compared resource use among terrapin sexes and life-history stages using the isotopic niche and mixing models. Terrapins were generalist foragers, and their diets varied by sex and life stage, as has been reported elsewhere. Basal resource mixing models indicated the terrapin food web was based primarily on Thalassia testudinum for adult females (50.0%) and Spartina alterniflora for adult males (49.7%) and juvenile females (42.2%). Dietary mixing models indicated the adult female diet included a relatively high proportion of Thalassia testudinum (31.3%), suggesting a strong reliance on seagrass dominated prey and not necessarily large consumption of seagrass, followed by lower proportions of gastropods (26.6%) and crustaceans (19.1%). Primary diet items for juvenile females and adult males included relatively equal proportions of echinoderms, gastropods, crustaceans, ascidians, and porifera. Body and head size of terrapins may drive differences in diet, as interpreted from mixing model results. Although mangroves are expanding their range northward along the Gulf of America coast and have become established at our study site, it does not appear that terrapins are foraging within these newly established mangrove forests. Finally, the terrapin niche, particularly for adult females, may overlap with the sea turtle niche in seagrass-dominated bays. Whether sea turtles impact terrapin populations, including through direct predation, is unknown.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-025-01568-3","usgsCitation":"Lamont, M., Arends, C.L., Catizone, D.J., and Vander Zanden, H.B., 2025, Diamondback terrapin resource use in a seagrass-dominated coastal bay varies by life stage: Estuaries and Coasts, v. 48, no. 5, 132, 12 p., https://doi.org/10.1007/s12237-025-01568-3.","productDescription":"132, 12 p.","ipdsId":"IP-169842","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":491453,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-025-01568-3","text":"Publisher Index Page"},{"id":491094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"St. Joseph Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.42067407815058,\n 29.88845033015012\n ],\n [\n -85.42067407815058,\n 29.67807911729524\n ],\n [\n -85.28516563300288,\n 29.67807911729524\n ],\n [\n -85.28516563300288,\n 29.88845033015012\n ],\n [\n -85.42067407815058,\n 29.88845033015012\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"48","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":206817,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":940893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arends, Carson L. 0000-0001-9962-8647","orcid":"https://orcid.org/0000-0001-9962-8647","contributorId":296689,"corporation":false,"usgs":true,"family":"Arends","given":"Carson","email":"","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":940894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Catizone, Daniel J. 0000-0002-7030-4208","orcid":"https://orcid.org/0000-0002-7030-4208","contributorId":248817,"corporation":false,"usgs":true,"family":"Catizone","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":940895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vander Zanden, Hannah B.","contributorId":138885,"corporation":false,"usgs":false,"family":"Vander Zanden","given":"Hannah","email":"","middleInitial":"B.","affiliations":[{"id":12562,"text":"Department of Geology and Geophysics, University of Utah; Archie Carr Center for Sea Turtle Research, University of Florida","active":true,"usgs":false}],"preferred":false,"id":940896,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267356,"text":"ofr20251015 - 2025 - Black abalone (Haliotis cracherodii) population density, recruitment, size structure, and population growth at Naval Base Ventura County, San Nicolas Island, California, 2013–22","interactions":[],"lastModifiedDate":"2025-07-01T13:38:36.909712","indexId":"ofr20251015","displayToPublicDate":"2025-06-13T08:54:57","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":"2025-1015","displayTitle":"Black Abalone (Haliotis cracherodii) Population Density, Recruitment, Size Structure, and Population Growth at Naval Base Ventura County, San Nicolas Island, California, 2013–22","title":"Black abalone (Haliotis cracherodii) population density, recruitment, size structure, and population growth at Naval Base Ventura County, San Nicolas Island, California, 2013–22","docAbstract":"

The range of the endangered black abalone (Haliotis cracherodii) is divided into the North Central California region, the Central California region, the Southern California Mainland region, the Channel Islands region, and the Baja California region by the National Marine Fisheries Service for management purposes. San Nicolas Island is one of eight subregions of the Channel Islands region. The black abalone recovery plan establishes five demographic criteria for the possible delisting or downlisting of the species. The U.S. Geological Survey monitors nine long-term intertidal black abalone sites at San Nicolas Island, California, in cooperation with the U.S. Navy, which owns the island. This report uses data collected between 2013 and 2022 and the delisting criteria to analyze and describe the density, recruitment, size structure, and population trends at the nine U.S. Geological Survey monitoring sites at San Nicolas Island.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251015","collaboration":"Prepared in cooperation with the U.S. Navy","programNote":"Ecosystems Mission Area—Land Management Research Program and Species Management Research Program","usgsCitation":"Kenner, M.C., and Yee, J.L., 2025, Black abalone (Haliotis cracherodii) population density, recruitment, size structure, and population growth at Naval Base Ventura County, San Nicolas Island, California, 2013–22: U.S. Geological Survey Open-File Report 2025–1015, 10 p., https://doi.org/10.3133/ofr20251015.","productDescription":"vi, 10 p.","onlineOnly":"Y","ipdsId":"IP-174146","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":490728,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20251014","text":"Open-File Report 2025-1014","description":"OFR 2025-1014","linkHelpText":"- Black abalone surveys at Naval Base Ventura County, San Nicolas Island, California—2022 annual report"},{"id":486255,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1015/ofr20251015.XML"},{"id":486254,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1015/images"},{"id":486253,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251015/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1015"},{"id":486252,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1015/ofr20251015.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1015"},{"id":486251,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1015/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Naval Base Ventura County, San Nicolas Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.41565036125932,\n 33.22855822061233\n ],\n [\n -119.4322978602211,\n 33.233849792002204\n ],\n [\n -119.46292925831023,\n 33.2600242059834\n ],\n [\n -119.53051810409356,\n 33.29036557133239\n ],\n [\n -119.58545485066676,\n 33.281459107969354\n ],\n [\n -119.57180390151814,\n 33.25000088849947\n ],\n [\n -119.54217135336674,\n 33.228836776039614\n ],\n [\n -119.47857790733391,\n 33.21379600415082\n ],\n [\n -119.45160895901617,\n 33.21379600415082\n ],\n [\n -119.41565036125932,\n 33.22855822061233\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819

","tableOfContents":"","publishedDate":"2025-06-13","noUsgsAuthors":false,"publicationDate":"2025-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Kenner, Michael C. 0000-0003-4659-461X","orcid":"https://orcid.org/0000-0003-4659-461X","contributorId":208151,"corporation":false,"usgs":true,"family":"Kenner","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":937958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":937959,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70268146,"text":"70268146 - 2025 - Multi-model comparison of salt marsh longevity under relative sea-level rise","interactions":[],"lastModifiedDate":"2025-06-16T13:57:23.958198","indexId":"70268146","displayToPublicDate":"2025-06-13T08:52:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Multi-model comparison of salt marsh longevity under relative sea-level rise","docAbstract":"

Understanding salt marsh resilience under increasing sea levels can inform for management decisions. We compared temporal projections from various wetland process-based models and a geospatially derived metric (i.e., marsh lifespan) to understand key considerations and uncertainties about salt marsh resilience when using these products for decision-making. The influences of lidar topographic correction and marsh surface sediment accretion were explored across a suite of relative sea level rise (RSLR) projections to assess differences in the timing and amount of habitat change for each modeling approach. All models were run for a small coastal wetland site located in the Chesapeake Bay, Maryland, USA, to assess potential change in marsh habitat, and timing of marsh loss due to RSLR. All modeling results agreed that marsh longevity was threatened by RSLR but they varied in the time of predicted marsh submergence between the years 2070 and 2100 depending on the initial marsh surface elevation and accretion rates. Models with similar accretion rates predicted similar years until marsh submergence. Removing a positive elevation bias from lidar surveys in densely vegetated marsh areas for these models resulted in onset of submergence ~ 7 years earlier. Because there are many tradeoffs to each model type, end users need to evaluate management questions, overall goals, the amount of effort involved in model parameterization, and the amount of uncertainty in the model that they are willing to accept.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-025-01559-4","usgsCitation":"Martinez, M., Buffington, K., Ganju, N., Defne, Z., Ackerman, K., Thorne, K., Guntenspergen, G.R., and Carr, J., 2025, Multi-model comparison of salt marsh longevity under relative sea-level rise: Estuaries and Coasts, v. 48, 131, 17 p., https://doi.org/10.1007/s12237-025-01559-4.","productDescription":"131, 17 p.","ipdsId":"IP-175115","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":491006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-025-01559-4","text":"Publisher Index Page"},{"id":490750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Kent County","otherGeospatial":"Eastern Neck Island National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.24030263498597,\n 39.05092670969253\n ],\n [\n -76.2464251064265,\n 39.02623477098268\n ],\n [\n -76.22111104181657,\n 39.0091277190638\n ],\n [\n -76.20939592819497,\n 39.005880153850384\n ],\n [\n -76.19532601786523,\n 39.010317858728\n ],\n [\n -76.20639356239224,\n 39.05275533676962\n ],\n [\n -76.22099330198093,\n 39.05568114506616\n ],\n [\n -76.24030263498597,\n 39.05092670969253\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"48","noUsgsAuthors":false,"publicationDate":"2025-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Martinez, Melinda 0000-0001-6652-9220","orcid":"https://orcid.org/0000-0001-6652-9220","contributorId":290467,"corporation":false,"usgs":true,"family":"Martinez","given":"Melinda","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":940339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":940340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackerman, Kate 0000-0003-3925-721X","orcid":"https://orcid.org/0000-0003-3925-721X","contributorId":293631,"corporation":false,"usgs":true,"family":"Ackerman","given":"Kate","email":"","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940343,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":940344,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940345,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940346,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70268760,"text":"70268760 - 2025 - Rapid risk assessment framework to estimate potential for spillback at human-wildlife interfaces","interactions":[],"lastModifiedDate":"2025-07-10T14:57:17.754452","indexId":"70268760","displayToPublicDate":"2025-06-13T08:50:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Rapid risk assessment framework to estimate potential for spillback at human-wildlife interfaces","docAbstract":"

More than 60% of emerging infectious diseases of humans have a wildlife origin, and when these diseases spread through human populations to new geographical areas, there is a considerable risk of spillback from humans to wildlife species. Spillback events can have severe consequences for wildlife populations, where the disease may cause morbidity and mortality, and human populations, where the establishment in wildlife may lead to prolonged transmission or new exposures in humans. Mitigating these consequences requires identifying the key risk factors that lead to human–wildlife transmission events and implementing risk-reducing actions, a challenge given that cross-species transmission events are rare and often data deficient. To identify potential species and locations that are most likely to lead to these rare events, we developed a spatially explicit, rapid risk assessment framework that incorporates three components of the spillback process: wildlife susceptibility, wildlife exposure, and pathogen introduction pressure. To demonstrate the broad applicability of our framework, we conducted a rapid risk assessment on two recent emerging zoonotic pathogens in humans, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and mpox, to determine the relative spillback risk to wild mammalian species in the continental United States. The rapid risk assessment identified both species and locations with higher than expected spillback risk, providing managers and researchers with valuable information to prioritize surveillance and risk-mitigation actions. Our framework represents a rapid and flexible approach to assess the risks of spillback to wildlife populations during rapidly evolving zoonotic disease outbreaks.

","language":"English","publisher":"PubMed Central","doi":"10.1155/tbed/4334954","usgsCitation":"Mcdevitt-Galles, T., Fry, T., Richgels, K., and Grear, D.A., 2025, Rapid risk assessment framework to estimate potential for spillback at human-wildlife interfaces: Transboundary and Emerging Diseases, v. 2025, 4334954, 15 p., https://doi.org/10.1155/tbed/4334954.","productDescription":"4334954, 15 p.","ipdsId":"IP-160096","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":492090,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/tbed/4334954","text":"Publisher Index Page"},{"id":491808,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.97084947037874,\n 48.633322740164715\n ],\n [\n -124.7392146445165,\n 37.00758771879266\n ],\n [\n -118.2521345151965,\n 32.82119172303341\n ],\n [\n -107.8473648454318,\n 30.862675765777055\n ],\n [\n -98.46601775789239,\n 26.182786928741095\n ],\n [\n -79.55043816735622,\n 24.502682268282584\n ],\n [\n -80.16713782720478,\n 31.37578863952467\n ],\n [\n -74.7558728135753,\n 35.46079116327094\n ],\n [\n -67.1408314266174,\n 43.72777509706573\n ],\n [\n -67.67002630536457,\n 47.164807560194056\n ],\n [\n -81.40402452012242,\n 42.203163887439615\n ],\n [\n -82.68676846828293,\n 45.67835235914693\n ],\n [\n -90.32310194724667,\n 48.78125858148974\n ],\n [\n -125.97084947037874,\n 48.633322740164715\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2025","noUsgsAuthors":false,"publicationDate":"2025-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Mcdevitt-Galles, Travis 0000-0002-4929-5431","orcid":"https://orcid.org/0000-0002-4929-5431","contributorId":315374,"corporation":false,"usgs":true,"family":"Mcdevitt-Galles","given":"Travis","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":941875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fry, Tricia L.","contributorId":357592,"corporation":false,"usgs":false,"family":"Fry","given":"Tricia L.","affiliations":[{"id":85464,"text":"Midwest Association for Fish and Wildlife Agencies","active":true,"usgs":false}],"preferred":false,"id":941876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richgels, Katherine 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":167016,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":941877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":941878,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268148,"text":"70268148 - 2025 - Not all spatially structured populations are metapopulations: Re-examining paradigms for a threatened shorebird","interactions":[],"lastModifiedDate":"2025-06-16T13:43:43.023749","indexId":"70268148","displayToPublicDate":"2025-06-13T08:35:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Not all spatially structured populations are metapopulations: Re-examining paradigms for a threatened shorebird","docAbstract":"

For at-risk species, understanding population vital rates is imperative for developing informed conservation strategies and population models. Managers often assume that species that are spatially distributed among patches of suitable habitat meet the criteria of a metapopulation. Metapopulation dynamics are determined not only by within-patch birth and death processes but also by between-patch dispersal movements of individuals that are infrequent but critical to maintaining population viability across space and time. To conserve and manage such species, an understanding of all these vital rates, including connectivity, is required. The degree to which the northern Great Plains piping plover (Charadrius melodus) breeding population functions as a metapopulation depends, in part, on the rate of movement among patchily distributed breeding areas. Here, we examined annual adult survival and breeding dispersal probabilities for 2582 individuals at two spatial scales within the northern Great Plains piping plover breeding population between 2014 and 2019. Inconsistent with a metapopulation structure, annual survival varied minimally among breeding regions but did vary across years. We also found that breeding dispersal probabilities were temporally variable, high, and unbalanced at both spatial scales examined, suggesting high connectivity in contrast to metapopulation dynamics. Further, we detected context-dependent effects of reproductive success on dispersal decisions. Individuals were more likely to disperse from the northern Missouri River to the US Alkali Wetlands following nest failure due to inundation or severe storms (including in the year prior to dispersal), whereas dispersal from the US Alkali Wetlands to the northern Missouri River decreased following successful nest attempts. Individuals also decreased dispersal from the US Alkali Wetlands to the northern Missouri River in response to renesting attempts in both the year of interest and the year prior to dispersal. Our results contradict the paradigm that northern Great Plains piping plovers are structured as a metapopulation and instead suggest a patchily distributed, likely panmictic, population. Our findings have implications for the conservation and management of this listed species and are also a general reminder that in the absence of robust knowledge of movement, spatial variation in birth and death processes across patches should not be conflated with a metapopulation structure.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70037","usgsCitation":"Swift, R.J., Anteau, M.J., Ellis, K.S., MacDonald, G.J., Ring, M., Sherfy, M.H., Toy, D.L., and Koons, D.N., 2025, Not all spatially structured populations are metapopulations: Re-examining paradigms for a threatened shorebird: Ecological Applications, v. 35, no. 4, e70037, 22 p., https://doi.org/10.1002/eap.70037.","productDescription":"e70037, 22 p.","ipdsId":"IP-159633","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":491308,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P145PZKB","text":"USGS data release","linkHelpText":"Piping plover adult breeding dispersal and annual survival in the northern Great Plains, USA, model code"},{"id":491004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.70037","text":"Publisher Index Page"},{"id":490748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.64188754784932,\n 48.98153164866767\n ],\n [\n -105.33724717279092,\n 48.994467973542584\n ],\n [\n -105.28467788209502,\n 48.50026956386816\n ],\n [\n -104.10186884143783,\n 48.307740036726486\n ],\n [\n -103.89159167865459,\n 47.93571533915883\n ],\n [\n -102.91905980078116,\n 47.82996004634143\n ],\n [\n -102.55107476591006,\n 47.435856274811385\n ],\n [\n -101.19084436915436,\n 46.827884767556554\n ],\n [\n -100.69800726888084,\n 45.38837693229408\n ],\n [\n -99.72547539100738,\n 45.508237243472905\n ],\n [\n -100.64543797818494,\n 47.626637063166925\n ],\n [\n -100.69143610754378,\n 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0000-0002-9487-7721","orcid":"https://orcid.org/0000-0002-9487-7721","contributorId":238820,"corporation":false,"usgs":true,"family":"MacDonald","given":"Garrett","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ring, Megan M. 0000-0001-8331-8492","orcid":"https://orcid.org/0000-0001-8331-8492","contributorId":225026,"corporation":false,"usgs":true,"family":"Ring","given":"Megan M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940358,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940359,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Toy, Dustin L. 0000-0001-5390-5784 dtoy@usgs.gov","orcid":"https://orcid.org/0000-0001-5390-5784","contributorId":5150,"corporation":false,"usgs":true,"family":"Toy","given":"Dustin","email":"dtoy@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940360,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koons, David N.","contributorId":28137,"corporation":false,"usgs":false,"family":"Koons","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":940361,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70268057,"text":"ofr20251014 - 2025 - Black abalone surveys at Naval Base Ventura County, San Nicolas Island, California—2022 annual report","interactions":[],"lastModifiedDate":"2025-07-01T16:55:19.83033","indexId":"ofr20251014","displayToPublicDate":"2025-06-13T07:39:45","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":"2025-1014","displayTitle":"Black Abalone Surveys at Naval Base Ventura County, San Nicolas Island, California—2022 Annual Report","title":"Black abalone surveys at Naval Base Ventura County, San Nicolas Island, California—2022 annual report","docAbstract":"

The U.S. Geological Survey monitors a suite of intertidal black abalone (Haliotis cracherodii) sites at San Nicolas Island, California, in cooperation with the U.S. Navy, which owns the island. The nine rocky intertidal sites were established in 1980 to study the potential effect of translocated southern sea otters (Enhydra lutris nereis) on the intertidal black abalone population at San Nicolas Island. The sites were monitored, typically annually or biennially, from 1981 to 1997. Monitoring resumed in 2001 and has been completed annually thereafter. Since 2018, the monitoring has been carried out by the U.S. Geological Survey Western Ecological Research Center. The study sites became particularly important from a management perspective after a virulent disease decimated black abalone populations throughout southern California beginning in the mid-1980s. The disease, withering syndrome, was first observed on San Nicolas Island in 1992, and during the next few years, withering syndrome reduced the black abalone population on San Nicolas Island by more than 99 percent. The black abalone was subsequently listed as endangered under the Endangered Species Act in 2009.

The subject of this report is the 2022 survey of the sites and the status of the measured population of black abalone in comparison to long-term patterns (based on data collected since 1981) at San Nicolas Island. Between the years 2000 and 2022, the total monitored black abalone population on the island has grown from roughly 200 to more than 2,000, approximately a ten-fold increase following the disease-related decline. Since it was first consistently measured in 2005, the distance between adjacent black abalone has decreased substantially from approximately 50 centimeters to less than 15 centimeters, indicating that black abalone are sufficiently close together at several of the sites to reproduce successfully. The total black abalone count in 2022 was 2,156, which was 7.9 percent lower than the total count in 2020 but 6.6 percent higher than in 2021. There were increases and decreases among the sites and transects within each site in 2022, but six of the nine sites had higher counts than in the previous year. The 2022 count is one of the highest since 1993, second only to the 2020 count. In 2022, the annual recruitment rate, defined as the percentage of measured black abalone with a shell length of 3 centimeters or less, was the second highest recorded, only slightly less than in 2017.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251014","collaboration":"Prepared in cooperation with the U.S. Navy","programNote":"Ecosystems Mission Area—Land Management Research Program and Species Management Research Program","usgsCitation":"Kenner, M.C., and Yee, J.L., 2025, Black abalone surveys at Naval Base Ventura County, San Nicolas Island, California—2022 annual report: U.S. Geological Survey Open-File Report 2025–1014, 34 p., https://doi.org/10.3133/ofr20251014.","productDescription":"viii, 34 p.","onlineOnly":"Y","ipdsId":"IP-159889","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":490412,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1014/images"},{"id":491626,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20251015","text":"Open-File Report 2025-1015","description":"OFR 2025-1015","linkHelpText":"- Black abalone (Haliotis cracherodii) population density, recruitment, size structure, and population growth at Naval Base Ventura County, San Nicolas Island, California, 2013–22"},{"id":490413,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1014/ofr20251014.XML"},{"id":490410,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1014/ofr20251014.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1014"},{"id":490411,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251014/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1014"},{"id":490409,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1014/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Naval Base, Ventura County, San Nicolas Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.41565036125932,\n 33.22855822061233\n ],\n [\n -119.4322978602211,\n 33.233849792002204\n ],\n [\n -119.46292925831023,\n 33.2600242059834\n ],\n [\n -119.53051810409356,\n 33.29036557133239\n ],\n [\n -119.58545485066676,\n 33.281459107969354\n ],\n [\n -119.57180390151814,\n 33.25000088849947\n ],\n [\n -119.54217135336674,\n 33.228836776039614\n ],\n [\n -119.47857790733391,\n 33.21379600415082\n ],\n [\n -119.45160895901617,\n 33.21379600415082\n ],\n [\n -119.41565036125932,\n 33.22855822061233\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819

","tableOfContents":"","publishedDate":"2025-06-13","noUsgsAuthors":false,"publicationDate":"2025-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Kenner, Michael C. 0000-0003-4659-461X","orcid":"https://orcid.org/0000-0003-4659-461X","contributorId":208151,"corporation":false,"usgs":true,"family":"Kenner","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":940075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":940076,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70268056,"text":"sir20255036 - 2025 - Cascading consequences and interventions for hazards after wildfire in Okanogan County, Washington","interactions":[],"lastModifiedDate":"2025-06-13T22:02:50.732528","indexId":"sir20255036","displayToPublicDate":"2025-06-12T17:30:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5036","displayTitle":"Cascading Consequences and Interventions for Hazards After Wildfire in Okanogan County, Washington","title":"Cascading consequences and interventions for hazards after wildfire in Okanogan County, Washington","docAbstract":"

This report details the application of the chains of consequences method within the postfire hazard context after the 2021 Cedar Creek and Muckamuck Fires around Okanogan County, Washington. The U.S. Geological Survey Social and Economic Analysis branch convened 20 stakeholders with content- and context-specific knowledge related to these fires and their postfire hazards in an April 2023 Postfire Hazards Chains of Consequences Workshop. Guided by U.S. Geological Survey facilitators, workshop participants identified the cascading consequences of a specific postfire hazard scenario before brainstorming interventions to reduce the likelihood and severity of those consequences. The participants worked across disciplinary boundaries to identify gaps in understanding around cascading postfire hazard consequences and to brainstorm multidisciplinary interventions.

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Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118

","tableOfContents":"","publishedDate":"2025-06-12","noUsgsAuthors":false,"publicationDate":"2025-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Goldwyn, Briar H. 0000-0003-2866-045X","orcid":"https://orcid.org/0000-0003-2866-045X","contributorId":356792,"corporation":false,"usgs":true,"family":"Goldwyn","given":"Briar H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":940072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":940073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":940074,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268061,"text":"cir1556 - 2025 - U.S. Geological Survey Pollinator Science Strategy, 2025–35—A Review and Look Forward","interactions":[],"lastModifiedDate":"2025-12-15T18:12:11.353795","indexId":"cir1556","displayToPublicDate":"2025-06-12T12:33:57","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":"1556","title":"U.S. Geological Survey Pollinator Science Strategy, 2025–35—A Review and Look Forward","docAbstract":"

This “U.S. Geological Survey Pollinator Science Strategy, 2025–35—A Review and Look Forward” (“Pollinator Science Strategy”) describes the science vision of the U.S. Geological Survey (USGS) to support management, conservation, and policy decisions on animal pollinators and their habitats. As the science arm of the Department of the Interior, the USGS has a primary role in providing scientific information to natural resource managers and policymakers across the United States. This “Pollinator Science Strategy” was drafted by a team of USGS pollinator researchers and was further developed through feedback from Federal, State, Tribal, nongovernmental organizations, and industry partners. This “Pollinator Science Strategy” highlights the USGS’s role in the research to promote healthy pollinator populations and address partner information gaps so they can make more informed management decisions. By outlining the importance of USGS science in addressing the information needs of other agencies, organizations, and the public, the “Pollinator Science Strategy” reaffirms the USGS’s commitment to pollinator research and showcases our research priorities for 2025–35.

With more than 300 research centers nationally, the USGS is equipped to address pollinator science across scales of complexity and geographic range. USGS pollinator science is organized according to the following five thematic areas:

  1. Assessing species ecology, distributions, and natural history requirements.
  2. Tracking species status and trends.
  3. Understanding species threats and stressors.
  4. Informing restoration and management actions.
  5. Developing novel methods for improving pollinator research, monitoring, and population outcomes that can benefit our Nation.

Our pollinator information products and associated data are made widely available to the public to ensure scientific transparency and accessibility. This “Pollinator Science Strategy” concludes with several research goals that the USGS will work towards from 2025 to 2035, representing our vision for USGS science. These research goals include synthesizing and modernizing the latest information on pollinator threats, developing research that assists managers with habitat design and restoration, providing training to partners on native bee identification and monitoring design, and developing new technologies for assessing the status and trends of our nation’s pollinators.

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Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401

Contact Pubs Warehouse

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