{"pageNumber":"4","pageRowStart":"75","pageSize":"25","recordCount":10951,"records":[{"id":70273803,"text":"70273803 - 2025 - Interspecific interactions moderate direct effects of vegetation change resulting from prescribed fires","interactions":[],"lastModifiedDate":"2026-02-02T21:34:17.940337","indexId":"70273803","displayToPublicDate":"2025-11-27T15:29:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Interspecific interactions moderate direct effects of vegetation change resulting from prescribed fires","docAbstract":"Savannas depend on frequent, low-intensity fires that shape animal and plant communities. These fires alter animal populations, movement, and habitat use. Here, we report on how fires in a longleaf pine (Pinus palustris) savanna affected small mammal microhabitat use via changes in competition and predation. We monitored small mammal populations and vegetation subjected to biennial prescribed fires and compared microhabitat use of three small mammal populations [hispid cotton rats (Sigmodon hispidus), cotton mice (Peromyscus gossypinus) and oldfield mice (Peromyscus polionotus)] in the presence and absence of mesocarnivores while accounting for changes in density and movement of each small mammal species. Densities of cotton rats varied greatly across years but were similar between predator exclosures and controls. However, frequency of use was greater in exclosures than in controls irrespective of vegetation characteristics, suggesting predation risk altered cotton rat microhabitat use. Conversely, higher relative abundance of cotton rats was associated with lower cotton mouse and oldfield mouse use, suggesting spatial separation in niche and indicating that cotton mice expand their realized niche following predation-induced declines of cotton rats associated with prescribed burn events. Our results contribute to a better understanding of pyrodiversity and how interspecific interactions can moderate effects of vegetation changes following prescribed fires.","language":"English","publisher":"Springer","doi":"10.1038/s41598-025-26529-5","usgsCitation":"Shastry, V., Conner, L.M., Morris, G., Royle, A., Smith, L., and Morin, D., 2025, Interspecific interactions moderate direct effects of vegetation change resulting from prescribed fires: Scientific Reports, v. 15, no. 1, 42385, 12 p., https://doi.org/10.1038/s41598-025-26529-5.","productDescription":"42385, 12 p.","ipdsId":"IP-181552","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499616,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-26529-5","text":"Publisher Index Page"},{"id":499417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","county":"Baker County","otherGeospatial":"Jones Center at Ichauway","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Shastry, Varsha","contributorId":365822,"corporation":false,"usgs":false,"family":"Shastry","given":"Varsha","affiliations":[{"id":87229,"text":"Mississippi State University; The Jones Center at Ichauway","active":true,"usgs":false}],"preferred":false,"id":954876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conner, L. Mike","contributorId":365823,"corporation":false,"usgs":false,"family":"Conner","given":"L.","middleInitial":"Mike","affiliations":[{"id":56171,"text":"The Jones Center at Ichauway","active":true,"usgs":false}],"preferred":false,"id":954877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, Gail","contributorId":365824,"corporation":false,"usgs":false,"family":"Morris","given":"Gail","affiliations":[{"id":56171,"text":"The Jones Center at Ichauway","active":true,"usgs":false}],"preferred":false,"id":954878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":954879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Lora","contributorId":156438,"corporation":false,"usgs":false,"family":"Smith","given":"Lora","affiliations":[],"preferred":false,"id":954880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morin, Dana","contributorId":264602,"corporation":false,"usgs":false,"family":"Morin","given":"Dana","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":954881,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272654,"text":"70272654 - 2025 - Evaluating the central–marginal hypothesis: Introgression and genetic variation at the trailing edge of Quercus bicolor","interactions":[],"lastModifiedDate":"2026-01-05T17:01:51.876178","indexId":"70272654","displayToPublicDate":"2025-11-25T09:50:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluating the central–marginal hypothesis: Introgression and genetic variation at the trailing edge of <i>Quercus bicolor</i>","title":"Evaluating the central–marginal hypothesis: Introgression and genetic variation at the trailing edge of Quercus bicolor","docAbstract":"<p><span>The central–marginal hypothesis (CMH) predicts reduced genetic diversity and increased differentiation in range-edge populations due to ecological marginality and limited gene flow. Deviations from this pattern, however, can result from historical demographic processes, variation in reproductive strategies or interspecific hybridization. The genus&nbsp;</span><i>Quercus</i><span>, known for hybridization and long-distance pollination, offers an excellent model to examine the spatial patterns of genetic diversity, structure and introgression across species distributions. Here, we investigate these dynamics in&nbsp;</span><i>Quercus bicolor</i><span>&nbsp;Willd., a widespread eastern North American oak. Using RADseq, we genotyped 142 individuals from 12 sites at the fragmented trailing range edge and nine sites from the range core. To detect introgression, we incorporated reference data from six sympatric white oak species. We reveal extensive introgression, particularly from&nbsp;</span><i>Q. lyrata</i><span>&nbsp;Walt., in nearly all southern edge populations, but none in core populations despite sympatry with closely related congeners. Southern populations also showed increased genetic structure and differentiation, but not reduced diversity or increased inbreeding, even when only examining non-admixed individuals. Regression analyses reveal relationships between introgressed ancestry and heterozygosity, inbreeding and differentiation, indicating that introgression may buffer range-edge populations against genetic erosion by introducing novel alleles. Hindcast, current and forecast ecological niche models demonstrate temporally changing degrees of overlap between the geographic range of&nbsp;</span><i>Q. lyrata</i><span>&nbsp;and&nbsp;</span><i>Q. bicolor</i><span>&nbsp;and suggest higher hybridization potential in the future. These findings offer mixed support for the CMH while underscoring the evolutionary relevance of introgression in shaping genetic landscapes at range margins with significant implications for conservation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.70185","usgsCitation":"Jesse B. Parker, Sean Hoban, Thompson, L., and Scott E. Schlarbaum, 2025, Evaluating the central–marginal hypothesis: Introgression and genetic variation at the trailing edge of Quercus bicolor: Molecular Ecology, v. 34, no. 24, e70185, 19 p., https://doi.org/10.1111/mec.70185.","productDescription":"e70185, 19 p.","ipdsId":"IP-182841","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":497082,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.70185","text":"Publisher Index Page"},{"id":496986,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.7397874284601,\n              47.69010833548356\n            ],\n            [\n              -96.50515645608941,\n              38.374728664216455\n            ],\n            [\n              -94.46111669832068,\n              35.024323679813264\n            ],\n            [\n              -75.54658793458438,\n              34.796796242513224\n            ],\n            [\n              -73.9846649987043,\n              39.20135867583498\n            ],\n            [\n              -69.38877471060589,\n              41.55065832321056\n            ],\n            [\n              -66.75532196682867,\n              44.51664342888958\n            ],\n            [\n              -66.71186067192609,\n              47.40639899204692\n            ],\n            [\n              -76.96565391885454,\n              44.77224521173778\n            ],\n            [\n              -85.96379061474377,\n              47.170718633297994\n            ],\n            [\n              -96.7397874284601,\n              47.69010833548356\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"24","noUsgsAuthors":false,"publicationDate":"2025-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Jesse B. Parker","contributorId":363175,"corporation":false,"usgs":false,"family":"Jesse B. Parker","affiliations":[{"id":63836,"text":"University of Tennessee, Knoxville","active":true,"usgs":false}],"preferred":false,"id":951194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sean Hoban","contributorId":363177,"corporation":false,"usgs":false,"family":"Sean Hoban","affiliations":[{"id":86637,"text":"Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":951195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":207364,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":951196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott E. Schlarbaum","contributorId":363179,"corporation":false,"usgs":false,"family":"Scott E. Schlarbaum","affiliations":[{"id":63836,"text":"University of Tennessee, Knoxville","active":true,"usgs":false}],"preferred":false,"id":951197,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273031,"text":"70273031 - 2025 - Spatial occupancy patterns of the endangered northern long‐eared bat in New England","interactions":[],"lastModifiedDate":"2025-12-12T16:38:07.189122","indexId":"70273031","displayToPublicDate":"2025-11-25T09:30:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Spatial occupancy patterns of the endangered northern long‐eared bat in New England","docAbstract":"<p>Aim</p><p><span>White-nose syndrome has caused severe declines in eastern North American cave bats, leading to the federal listing of the northern long-eared bat (</span><i>Myotis septentrionalis</i><span>) as endangered in the United States and Canada. This has heightened the importance of long-term monitoring to inform species status assessments. We employed a combination of long-term repeated and single-season acoustic survey data to assess the regional presence, spatial distribution, occupancy, and detection probability of northern long-eared bats.</span></p><p><span>Location</span></p><p><span>New England, United States.</span></p><p><span>Methods</span></p><p><span>We analysed acoustic data from 2357 detector sites, aggregated by year, using Bayesian single-species occupancy models. We investigated the influence of habitat characteristics, climatic variables, and year (2015–2022) on occupancy and the effects of weather conditions and survey month (May to August) on detection probability. Spatial random effects were included to address residual spatial autocorrelation, with a 1-km resolution chosen based on significant positive autocorrelation observed in a non-spatial model.</span></p><p><span>Results</span></p><p><span>Occupancy was highest on steep, forested hillsides with minimal anthropogenic development, higher in warmer regions, particularly along coastlines and on offshore islands, and declined across survey years. Including a 1-km spatial random effect reduced residual autocorrelation and suggests northern long-eared bats utilise resources at small to medium landscape scales. Detection probability was highest earlier in the maternity season, but declined when monthly precipitation or temperature exceeded average conditions.</span></p><p><span>Conclusions</span></p><p><span>Conservation efforts that focus on steep, forested hillsides in warmer regions with low anthropogenic development could be beneficial. Our analysis supports the use of spatial random effects at a 1-km<sup>2</sup>&nbsp;scale, highlighting the importance of survey designs that capture ecological variation at species-specific resolutions. Additionally, early-season acoustic surveys conducted during favourable weather conditions may improve monitoring effectiveness. Acoustic sampling and spatial occupancy modelling offer powerful tools for monitoring remnant populations of northern long-eared bats and guiding conservation practices.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.70122","usgsCitation":"De La Cruz, J.L., Deeley, S.M., Hunter, E.A., and Ford, W., 2025, Spatial occupancy patterns of the endangered northern long‐eared bat in New England: Diversity and Distributions, v. 31, no. 11, e70122, 14 p., https://doi.org/10.1111/ddi.70122.","productDescription":"e70122, 14 p.","ipdsId":"IP-173151","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.70122","text":"Publisher Index Page"},{"id":497482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont","otherGeospatial":"New England","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -68.0467630667936,\n              47.51205906310295\n            ],\n            [\n              -69.45031396213979,\n              47.35719130879998\n            ],\n            [\n              -70.61580060874599,\n              45.750869986415296\n            ],\n            [\n              -71.56018342332794,\n              45.25079633685677\n            ],\n            [\n              -73.36997254667905,\n              44.93837726441758\n            ],\n            [\n              -73.64279304233246,\n              41.439981251049005\n            ],\n            [\n              -69.6894535963497,\n              41.37398252890503\n            ],\n            [\n              -67.03254188469603,\n              44.57837534082219\n            ],\n            [\n              -68.0467630667936,\n              47.51205906310295\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"31","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"De La Cruz, Jesse L","contributorId":363941,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse","middleInitial":"L","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":952119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deeley, Sabrina M.","contributorId":363943,"corporation":false,"usgs":false,"family":"Deeley","given":"Sabrina","middleInitial":"M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":952120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":952122,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272215,"text":"70272215 - 2025 - Cryptic life history diversity supports endangered species recovery in an ultra-urbanized landscape","interactions":[],"lastModifiedDate":"2025-11-19T15:31:57.22913","indexId":"70272215","displayToPublicDate":"2025-11-18T08:28:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Cryptic life history diversity supports endangered species recovery in an ultra-urbanized landscape","docAbstract":"<p><span>Urban landscapes are often overlooked in conservation planning, allowing human activities to take precedence in ecosystem management. However, even heavily modified environments can support diverse species profiles, but continued expansion of the human footprint could transform these biodiversity hotspots into ecological traps that serve as hidden catalysts for demographic declines. In the backdrop of one of the world’s most urbanized landscapes-New York City, USA—is a federally endangered population of shortnose sturgeon (</span><i>Acipenser brevirostrum</i><span>) that has been quietly recovering for several decades despite many demographic threats. Here, we identify a unique behavioral phenotype of shortnose sturgeon that occupies habitats in New York Harbor in late spring and fall, likely using the area to optimize bioenergetic processes. As this study highlights, urbanized environments can be a nexus for cryptic phenotypic diversity which, if overlooked, can disrupt eco-evolutionary processes and contribute to population and species loss.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-24360-6","usgsCitation":"White, S.L., Higgs, A., and Fox, D., 2025, Cryptic life history diversity supports endangered species recovery in an ultra-urbanized landscape: Scientific Reports, v. 15, 40634, 8 p., https://doi.org/10.1038/s41598-025-24360-6.","productDescription":"40634, 8 p.","ipdsId":"IP-178198","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496744,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-24360-6","text":"Publisher Index Page"},{"id":496636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","city":"New York City","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.09993061657431,\n              40.736082719013496\n            ],\n            [\n              -74.09993061657431,\n              40.588831128093005\n            ],\n            [\n              -73.96403648299037,\n              40.588831128093005\n            ],\n            [\n              -73.96403648299037,\n              40.736082719013496\n            ],\n            [\n              -74.09993061657431,\n              40.736082719013496\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":950464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Higgs, Amanda","contributorId":225402,"corporation":false,"usgs":false,"family":"Higgs","given":"Amanda","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":950465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, Dewayne","contributorId":340954,"corporation":false,"usgs":false,"family":"Fox","given":"Dewayne","affiliations":[{"id":37219,"text":"Delaware State University","active":true,"usgs":false}],"preferred":false,"id":950466,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274548,"text":"70274548 - 2025 - Population genetics of the endangered narrowly endemic Island Marble butterfly (Euchloe ausonides insulanus)","interactions":[],"lastModifiedDate":"2026-04-02T13:57:15.166442","indexId":"70274548","displayToPublicDate":"2025-11-18T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Population genetics of the endangered narrowly endemic Island Marble butterfly (<i>Euchloe ausonides insulanus</i>)","title":"Population genetics of the endangered narrowly endemic Island Marble butterfly (Euchloe ausonides insulanus)","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The Island Marble butterfly (</span><i>Euchloe ausonides insulanus</i><span>) is an endangered species endemic to the San Juan Islands off the coast of Washington State, United States, and British Columbia, Canada. The species was thought to be extinct for ~ 90 years before it was rediscovered at American Camp, San Juan Island National Historical Park in 1998. Here, we report the results of the first population genetic analyses for&nbsp;</span><i>insulanus</i><span>, using DNA collected non-invasively from individuals in the last known stronghold for the species. We used DNA extracted from meconium, larval exuviae, and natural mortalities to generate and test thirteen new microsatellite markers to estimate genetic diversity, population structure, and kinship. We assembled and annotated mitochondrial genomes, which were used alongside museum specimens of&nbsp;</span><i>insulanus</i><span>&nbsp;collected ~ 100 years ago from Vancouver Island, and other members of the&nbsp;</span><i>E. ausonides</i><span>&nbsp;species complex, to infer the evolutionary history of the species. The results indicated that&nbsp;</span><i>insulanus</i><span>&nbsp;experiences low heterozygosity, a small effective population size (N</span><sub>e</sub><span>), and low allelic diversity. High levels of inbreeding were found in some individuals, but inbreeding was uneven across the population. No population structure or partitioning of genetic variation by host plant was detected. The mitogenomes of extant&nbsp;</span><i>insulanus</i><span>&nbsp;were all identical and modern samples showed a loss of allelic diversity compared to&nbsp;</span><i>insulanus</i><span>&nbsp;from museums. Extant&nbsp;</span><i>insulanus</i><span>&nbsp;formed a clade with museum specimens and we identified multiple putatively diagnostic alleles to differentiate&nbsp;</span><i>insulanus</i><span>&nbsp;from other subspecies. Based on these results, we outline considerations for species management and genetic monitoring.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10592-025-01737-8","usgsCitation":"Jones, K., Aunins, A.W., Young, C., Johnson, R.L., and Morrison, C.L., 2025, Population genetics of the endangered narrowly endemic Island Marble butterfly (Euchloe ausonides insulanus): Conservation Genetics, v. 27, 5, https://doi.org/10.1007/s10592-025-01737-8.","productDescription":"5","ipdsId":"IP-177244","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":501970,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Washington","otherGeospatial":"San Juan Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.1794965908473,\n              48.762742021779246\n            ],\n            [\n              -123.1794965908473,\n              48.384126042901784\n            ],\n            [\n              -122.67085884048696,\n              48.384126042901784\n            ],\n            [\n              -122.67085884048696,\n              48.762742021779246\n            ],\n            [\n              -123.1794965908473,\n              48.762742021779246\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"27","noUsgsAuthors":false,"publicationDate":"2025-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Kara Suzanne 0000-0002-8168-0815","orcid":"https://orcid.org/0000-0002-8168-0815","contributorId":331477,"corporation":false,"usgs":true,"family":"Jones","given":"Kara Suzanne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":958246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aunins, Aaron W. 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","middleInitial":"W.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":958247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Colleen Callahan 0000-0002-9858-4897","orcid":"https://orcid.org/0000-0002-9858-4897","contributorId":344669,"corporation":false,"usgs":true,"family":"Young","given":"Colleen Callahan","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":958248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Robin L. 0000-0003-4314-3792 rjohnson1@usgs.gov","orcid":"https://orcid.org/0000-0003-4314-3792","contributorId":224717,"corporation":false,"usgs":true,"family":"Johnson","given":"Robin","email":"rjohnson1@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":958249,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrison, Cheryl L. 0000-0001-9425-691X","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":239844,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":958250,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272017,"text":"fs20253044 - 2025 - The 3D Elevation Program—Supporting the economy of Massachusetts","interactions":[],"lastModifiedDate":"2026-02-03T16:26:49.075174","indexId":"fs20253044","displayToPublicDate":"2025-11-14T09:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3044","displayTitle":"The 3D Elevation Program—Supporting the Economy of Massachusetts","title":"The 3D Elevation Program—Supporting the economy of Massachusetts","docAbstract":"<h1>Introduction&nbsp;</h1><p>Massachusetts extends from the mountains of the Appalachian system in the west of the State to the sandy beaches and rocky shorelines of the Atlantic coast in the east. Inland topographic data support a wide range of important activities, including geologic mapping, transportation planning, forest and wildlife management, quantifying ecological services, water supply protection, commonwealth-wide infrastructure planning, local site planning, and flood-plain management. Nearshore bathymetry can be used to support coastal portions of the Commonwealth by addressing the combined threats of ocean warming, strong storm surge, and rising sea levels. The maintenance and (or) expansion of Massachusetts ports (for instance, Boston, New Bedford) and Cape Cod sediment management depends upon the accurate mapping of bathymetry and the frequent influx of sediment and redeposition. Critical applications that address the broad range of requirements depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.</p><p>The 3D Elevation Program (3DEP) is managed by the U.S. Geological Survey (USGS) in partnership with Federal, State, Tribal, U.S. territorial, and local agencies to acquire consistent lidar coverage at quality level 2 or better to meet the many needs of the Nation and Massachusetts. The status of available and in-progress 3DEP baseline lidar data in Massachusetts is shown in figure 1. 3DEP baseline lidar data include quality level 2 or better, 1-meter or better digital elevation models, and lidar point clouds, and must meet the Lidar Base Specification version 1.2 (<a href=\"https://www.usgs.gov/3dep/lidarspec\" data-mce-href=\"https://www.usgs.gov/3dep/lidarspec\">https://www.usgs.gov/3dep/lidarspec</a>) or newer requirements. The National Enhanced Elevation Assessment identified user requirements and conservatively estimated that availability of lidar data would result in at least $1.23 million in new benefits annually to Massachusetts. The top 10 Massachusetts business uses for 3D elevation data, which are based on the estimated annual conservative benefits of 3DEP, are shown in table 2.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253044","programNote":"National Geospatial Program","usgsCitation":"Walters, D., 2025, The 3D Elevation Program—Supporting the economy of Massachusetts: U.S. Geological Survey Fact Sheet 2025–3044, 2 p., https://doi.org/10.3133/fs20253044.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-163280","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":496291,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3044/images/"},{"id":496290,"rank":4,"type":{"id":31,"text":"Publication 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 \"}}]}","contact":"<p><a href=\"mailto:3DEP@usgs.gov\" data-mce-href=\"mailto:3DEP@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/programs/national-geospatial-program\" data-mce-href=\"https://www.usgs.gov/programs/national-geospatial-program\">National Geospatial Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, MS 511<br>Reston, VA 20192<br></p>","tableOfContents":"<ul><li>Introduction</li><li>Status of 3DEP in Massachusetts</li><li>Flood Risk Management</li><li>Natural Resources Conservation</li><li>Agriculture and Precision Farming</li><li>Coastal Zone Management</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-11-14","noUsgsAuthors":false,"publicationDate":"2025-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Walters, Dan","contributorId":291381,"corporation":false,"usgs":true,"family":"Walters","given":"Dan","email":"","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":949733,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70272087,"text":"70272087 - 2025 - Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees","interactions":[{"subject":{"id":70274281,"text":"70274281 - 2025 - Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees","indexId":"70274281","publicationYear":"2025","noYear":false,"title":"Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees"},"predicate":"SUPERSEDED_BY","object":{"id":70272087,"text":"70272087 - 2025 - Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees","indexId":"70272087","publicationYear":"2025","noYear":false,"title":"Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees"},"id":1}],"lastModifiedDate":"2025-12-01T16:49:46.874038","indexId":"70272087","displayToPublicDate":"2025-11-13T07:54:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees","docAbstract":"<p><span>Terrestrial environmental DNA (eDNA) techniques have been proposed as a means of sensitive, non-lethal pollinator monitoring. To date, however, no studies have provided evidence that eDNA methods can achieve detection sensitivity on par with traditional pollinator surveys. Using a large-scale dataset of eDNA and corresponding net surveys, we show that eDNA methods enable sensitive, species-level characterisation of whole bumble bee communities, including rare and critically endangered species such as the rusty patched bumble bee (RPBB;&nbsp;</span><i>Bombus affinis</i><span>). All species present in netting surveys were detected within eDNA surveys, apart from two rare species in the socially parasitic subgenus&nbsp;</span><i>Psithyrus</i><span>&nbsp;(cuckoo bumble bees). Further, for rare non-parasitic species, eDNA methods exhibited similar sensitivity relative to traditional netting. Compared with flower eDNA samples, sequenced leaf surface eDNA samples resulted in significantly lower rates of&nbsp;</span><i>Bombus</i><span>&nbsp;detection, and these detections were likely attributable to high rates of background eDNA on environmental surfaces, perhaps due to airborne eDNA or eDNA movement during rainfall events. Lastly, we found that eDNA-based frequency of detection across replicate surveys was strongly associated with net-based measures of abundance across site visits. We conclude that the COI-based metabarcoding method we present is cost-effective and highly scalable for quantitative characterisation of at-risk bumble bee communities, providing a new approach for improving our understanding of species habitat associations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.70073","usgsCitation":"Richardson, R.T., Avalos, G., Garland, C.J., Trott, R., Hager, O., Hepner, M.J., Raines, C.D., and Goodell, K., 2025, Sensitive environmental DNA methods for low-risk surveillance of at-risk bumble bees: Molecular Ecology Resources, v. 26, no. 1, e70073, 10 p., https://doi.org/10.1111/1755-0998.70073.","productDescription":"e70073, 10 p.","ipdsId":"IP-177744","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496707,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.70073","text":"Publisher Index Page"},{"id":496476,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Central Appalachian Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.8129124415969,\n              42.016862263060546\n            ],\n            [\n              -82.1750155405594,\n              36.54899586680892\n            ],\n            [\n              -80.0203510955439,\n              36.258277099718455\n            ],\n            [\n              -75.31731755526653,\n              41.757585494571146\n            ],\n            [\n              -76.8129124415969,\n              42.016862263060546\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Richardson, Rodney T.","contributorId":332908,"corporation":false,"usgs":false,"family":"Richardson","given":"Rodney","middleInitial":"T.","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":950022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Avalos, Grace","contributorId":332902,"corporation":false,"usgs":false,"family":"Avalos","given":"Grace","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":950023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garland, Cameron J.","contributorId":360431,"corporation":false,"usgs":false,"family":"Garland","given":"Cameron","middleInitial":"J.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":950024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trott, Regina","contributorId":332903,"corporation":false,"usgs":false,"family":"Trott","given":"Regina","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":950025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hager, Olivia","contributorId":360433,"corporation":false,"usgs":false,"family":"Hager","given":"Olivia","affiliations":[{"id":86002,"text":"University of Maryland Center for Environmental Science; MD Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":950026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hepner, Mark J.","contributorId":335438,"corporation":false,"usgs":false,"family":"Hepner","given":"Mark","middleInitial":"J.","affiliations":[{"id":80404,"text":"Metamophecology","active":true,"usgs":false}],"preferred":false,"id":950027,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raines, Clayton D. 0000-0002-0403-190X","orcid":"https://orcid.org/0000-0002-0403-190X","contributorId":296362,"corporation":false,"usgs":true,"family":"Raines","given":"Clayton","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":950028,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goodell, Karen","contributorId":332906,"corporation":false,"usgs":false,"family":"Goodell","given":"Karen","email":"","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":950029,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70273494,"text":"70273494 - 2025 - Development of genomic markers for monitoring and research on plethodontid salamanders","interactions":[],"lastModifiedDate":"2026-01-20T16:29:44.920088","indexId":"70273494","displayToPublicDate":"2025-11-06T09:21:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Development of genomic markers for monitoring and research on plethodontid salamanders","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Despite the importance of plethodontid salamanders and their vulnerability to ongoing environmental change, they are inherently difficult to monitor due to their cryptic nature. Recent advances in genomics have created new opportunities for monitoring of populations and their responses to environmental perturbations. In this study, we developed a new target capture-based genomic panel for the purposes of genetic monitoring in plethodontid salamanders. We demonstrate its utility in several distantly related species and present an example application in two representative species with co-occurring distributions but different ecological attributes and expected patterns of population structure:&nbsp;</span><i>Plethodon jordani</i><span>&nbsp;and&nbsp;</span><i>Desmognathus wrighti</i><span>. Although the number of successfully assembled loci declined with phylogenetic distance from the original reference species (</span><i>Desmognathus</i><span>&nbsp;spp), we obtained high-quality data from thousands of loci from species in all four genera tested (</span><i>Desmognathus</i><span>,&nbsp;</span><i>Plethodon</i><span>,&nbsp;</span><i>Eurycea</i><span>, and&nbsp;</span><i>Gyrinophilus</i><span>), which span the deepest split in Plethodontidae. Landscape genetic analyses detected weak but statistically significant geographic structure in&nbsp;</span><i>P. jordani</i><span>, and much stronger geographic structure in&nbsp;</span><i>D. wrighti</i><span>, as expected based on the lower population density and likely lower dispersal ability of&nbsp;</span><i>D. wrighti</i><span>. Our target capture panel is broadly applicable across salamanders in Plethodontidae and has the potential to provide data for a wide range of phylogenetic, biogeographic, and population genetics research questions.</span></span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0336236","usgsCitation":"Fitzpatrick, B.M., Jones, K., Aunins, A.W., Eackles, M.S., and Kazyak, D.C., 2025, Development of genomic markers for monitoring and research on plethodontid salamanders: PLoS ONE, v. 20, no. 11, e0336236, 17 p., https://doi.org/10.1371/journal.pone.0336236.","productDescription":"e0336236, 17 p.","ipdsId":"IP-179317","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498922,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0336236","text":"Publisher Index Page"},{"id":498782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.96979895915521,\n              35.68689851036355\n            ],\n            [\n              -84.05501149014529,\n              35.55141202602384\n            ],\n            [\n              -83.96678886713649,\n              35.43799305033697\n            ],\n            [\n              -83.55568366891563,\n              35.42976785901836\n            ],\n            [\n              -83.09885998619994,\n              35.48881199038594\n            ],\n            [\n              -83.01407939098402,\n              35.69152675352798\n            ],\n            [\n              -83.17690302454709,\n              35.814788263627534\n            ],\n            [\n              -83.96979895915521,\n              35.68689851036355\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Fitzpatrick, Benjamin M.","contributorId":336140,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[{"id":80760,"text":"1. Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee","active":true,"usgs":false}],"preferred":false,"id":953978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Kara Suzanne 0000-0002-8168-0815","orcid":"https://orcid.org/0000-0002-8168-0815","contributorId":331477,"corporation":false,"usgs":true,"family":"Jones","given":"Kara Suzanne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aunins, Aaron W. 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","middleInitial":"W.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":953980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eackles, Michael S. 0000-0001-5624-5769 meackles@usgs.gov","orcid":"https://orcid.org/0000-0001-5624-5769","contributorId":218936,"corporation":false,"usgs":true,"family":"Eackles","given":"Michael","email":"meackles@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":953981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":953982,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272672,"text":"70272672 - 2025 - Evaluating Laramide orogenesis via flexural basin response in the San Juan basin, New Mexico and Colorado","interactions":[],"lastModifiedDate":"2025-12-03T16:59:51.732342","indexId":"70272672","displayToPublicDate":"2025-11-01T10:56:57","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluating Laramide orogenesis via flexural basin response in the San Juan basin, New Mexico and Colorado","docAbstract":"A challenge in interpreting the location, timing, and magnitude of ancient orogenic events is that ongoing uplift and erosion in the hinterlands often destroys much of the primary record of these events. However, basin-thickness patterns in the sedimentary record can provide complimentary evidence of uplift via flexural effects. Here, we deploy well-log correlation, isochores, basin modeling, flexural modeling, and subcrop mapping to evaluate the Late Cretaceous to Paleogene basin response to Laramide tectonism in the San Juan basin.\nA wedge of upper Campanian to Maastrichtian sedimentary rock thickens from 200 to 800 meters from southeast to northwest in the basin. This pattern can be successfully simulated via flexural modeling if we infer early Laramide uplift along the northwest basin flank that produced a 0.8 km high topographic load. The Laramide unconformity bounds the top of this Upper Cretaceous sedimentary wedge and truncates progressively older strata to the east, further supporting a westward tilt of the basin. The onset of Campanian Laramide flexure may have also contributed to the profound transgression from the upper Menefee Formation to the Lewis Shale. The Paleocene isochore map displays an approximately symmetrical pattern, with thickening towards the center of the basin. This suggests the possibility of competing flexural loads. The base Eocene structure indicates an asymmetric deep on the northeast flank of the basin, providing flexural evidence of contemporaneous uplift/loading of the Nacimiento uplift and Archuleta arch; this has been modeled as ~2.1 km load height. Both Cretaceous and Paleocene sedimentary wedges are narrow, suggesting low flexural rigidity; modeled effective elastic thicknesses (EET) are 20-30 km, comparable to estimates of modern EET for the region.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"New Mexico Geological Society 75th annual fall field conference guidebook","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"New Mexico Geological Society","doi":"10.56577/FFC-75.137","usgsCitation":"Rudolph, K., Leary, R.J., Smith, T.M., and Zellman, K.L., 2025, Evaluating Laramide orogenesis via flexural basin response in the San Juan basin, New Mexico and Colorado, <i>in</i> New Mexico Geological Society 75th annual fall field conference guidebook, v. 75, p. 137-151, https://doi.org/10.56577/FFC-75.137.","productDescription":"15 p.","startPage":"137","endPage":"151","ipdsId":"IP-175192","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":497017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"San Juan basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.04232983844348,\n              37.76447939513321\n            ],\n            [\n              -109.04232983844348,\n              35.54285591268403\n            ],\n            [\n              -106.12408801348575,\n              35.54285591268403\n            ],\n            [\n              -106.12408801348575,\n              37.76447939513321\n            ],\n            [\n              -109.04232983844348,\n              37.76447939513321\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"75","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rudolph, Kurt","contributorId":363209,"corporation":false,"usgs":false,"family":"Rudolph","given":"Kurt","affiliations":[{"id":86652,"text":"Rice University and University of Houston","active":true,"usgs":false}],"preferred":false,"id":951277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leary, Ryan J","contributorId":174702,"corporation":false,"usgs":false,"family":"Leary","given":"Ryan","email":"","middleInitial":"J","affiliations":[{"id":27500,"text":"Fisheries Biologist, The Klamath Tribes, 5671 Sprague River Road, Chiloquin, OR 97624","active":true,"usgs":false}],"preferred":false,"id":951278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Tyson Michael 0000-0003-2834-3526","orcid":"https://orcid.org/0000-0003-2834-3526","contributorId":330276,"corporation":false,"usgs":true,"family":"Smith","given":"Tyson","email":"","middleInitial":"Michael","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zellman, Kristine L. 0000-0002-7088-429X kzellman@usgs.gov","orcid":"https://orcid.org/0000-0002-7088-429X","contributorId":4849,"corporation":false,"usgs":true,"family":"Zellman","given":"Kristine","email":"kzellman@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":951280,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272796,"text":"70272796 - 2025 - Freshwater turtle assemblages and densities in agricultural ditches and aquaculture ponds of eastern Arkansas","interactions":[],"lastModifiedDate":"2026-01-07T17:43:15.740234","indexId":"70272796","displayToPublicDate":"2025-10-31T09:00:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1210,"text":"Chelonian Conservation and Biology","active":true,"publicationSubtype":{"id":10}},"title":"Freshwater turtle assemblages and densities in agricultural ditches and aquaculture ponds of eastern Arkansas","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The Mississippi Alluvial Plain (MAP) of Arkansas is a landscape where many wetlands have been altered for use as aquaculture ponds or agricultural ditches. Commercial harvest of freshwater turtles within the MAP is not restricted or limited, with reported harvest numbers for 2019 alone exceeding 4000 for spiny softshell turtles (</span><i data-jats-toggle=\"yes\">Apalone spinifera</i><span>) and 39,000 for red-eared sliders (</span><i data-jats-toggle=\"yes\">Trachemys scripta elegans</i><span>). Herein, we attempt to provide baseline estimates of freshwater turtle densities and community composition in aquaculture ponds and agricultural ditches of eastern Arkansas, the habitat types most frequently trapped by commercial harvesters. We used a capture–mark–recapture approach over 3 summers (2019–2021) to evaluate population densities and community composition of freshwater turtles in these anthropogenic aquatic habitats. We captured &gt; 4000 individuals of 9 species of turtle. One species, the red-eared slider, dominated the turtle community in both anthropogenic aquatic habitats, comprising 66% (± 22% SD) of all captures in agricultural ditches and 63% (± 32% SD) in aquaculture ponds. Diversity and richness did not differ between aquaculture ponds and agricultural ditches. We estimated densities of the 2 most commonly captured species, the red-eared slider and spiny softshell turtle. Density of red-eared sliders ranged from 0 turtles/unit area (linear kilometers in ditches or hectares in ponds) to 500 turtles/unit area, with a median of 37 turtles/unit area. The spiny softshell turtle was more frequently captured in ponds than ditches and attained average densities of 25 (± 19) turtles/ha and 7 (± 4) turtles/linear km, respectively. Our mean density estimates were lower than those in reported literature, including estimates from similar habitats, such as urban ditches and farm ponds, which resemble our study sites in structure, use, and geographical placement. We estimate the region contains 22,317 ha of aquaculture ponds and 18,350 linear km of agricultural ditches. By extrapolating our density estimates to each anthropogenic aquatic habitat type, we estimated 2 million red-eared sliders and 427,000 spiny softshell turtles occurred in aquaculture ponds and agricultural ditches across eastern Arkansas. Our results suggest that these altered wetlands provide abundant habitat for only a few generalist turtle species.</span></span></p>","language":"English","publisher":"Chelonian Research Foundation","doi":"10.2744/CCB-1657","usgsCitation":"Massey, A.D., Willson, J.D., and DeGregorio, B.A., 2025, Freshwater turtle assemblages and densities in agricultural ditches and aquaculture ponds of eastern Arkansas: Chelonian Conservation and Biology, v. 24, no. 2, p. 247-259, https://doi.org/10.2744/CCB-1657.","productDescription":"13 p.","startPage":"247","endPage":"259","ipdsId":"IP-140476","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":498465,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2744/ccb-1657","text":"Publisher Index Page"},{"id":497283,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"eastern Arkansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.42194147233364,\n              36.49537693943422\n            ],\n            [\n              -90.53336912692878,\n              35.98215599237926\n            ],\n            [\n              -91.82405714395551,\n              32.97103287874471\n            ],\n            [\n              -91.11597605874528,\n              32.93341394306303\n            ],\n            [\n              -90.91430495911077,\n              33.87040325230258\n            ],\n            [\n              -90.04263999829463,\n              35.13890970234506\n            ],\n            [\n              -89.42194147233364,\n              36.49537693943422\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"24","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Massey, Andrhea D.","contributorId":363575,"corporation":false,"usgs":false,"family":"Massey","given":"Andrhea","middleInitial":"D.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":951798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willson, John D.","contributorId":363576,"corporation":false,"usgs":false,"family":"Willson","given":"John","middleInitial":"D.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":951799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":951800,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273509,"text":"70273509 - 2025 - Recovery of Delaware Bay horseshoe crabs following harvest reductions","interactions":[],"lastModifiedDate":"2026-01-21T15:03:39.197863","indexId":"70273509","displayToPublicDate":"2025-10-27T07:57:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20748,"text":"Marine and Coastal Fisheries: Dynamics, Management and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Recovery of Delaware Bay horseshoe crabs following harvest reductions","docAbstract":"<p>Objective</p><p><span>Horseshoe crabs&nbsp;</span><i>Limulus polyphemus</i><span>&nbsp;play a vital role in the Delaware Bay ecosystem. The migratory stopover of several shorebird species occurs during the horseshoe crab spawning season, and the eggs of horseshoe crabs provide an essential food source to fuel their northward migration to breeding areas. High commercial fishery use of horseshoe crabs as bait during the 1990s coincided with a decline in crabs and shorebirds, particularly the red knot&nbsp;</span><i>Calidris canutus rufa</i><span>, which has been listed as threatened under the U.S. Endangered Species Act since 2015. In response to the population decline of shorebirds, the Atlantic States Marine Fisheries Commission began reducing the harvest of horseshoe crabs in 2000 with a goal of rebuilding the population of horseshoe crabs and shorebirds that depend upon them. The objective of this analysis was to determine whether horseshoe crab harvest management in the Delaware Bay region has increased the abundance of the species in recent years.</span></p><p><span>Methods</span></p><p><span>We analyzed data from fisheries-independent trawl surveys of horseshoe crab relative abundance using a Bayesian hierarchical model to determine whether harvest management has resulted in the rebuilding of the horseshoe crab population to levels seen in 1990—a period before the overuse of horseshoe crabs and the decline in the population of red knots.</span></p><p><span>Results</span></p><p><span>Data from multiple surveys showed that the horseshoe crab population in Delaware Bay declined from the 1990s through approximately 2005, was relatively low and stable until 2010, and then increased through 2023, with a 0.38 probability of exceeding the 1990 level.</span></p><p><span>Conclusions</span></p><p><span>The results of this analysis support the effectiveness of management decisions related to horseshoe crabs in the Delaware Bay region. In response to harvest restrictions, the abundance of horseshoe crabs has neared levels observed in the early 1990s—a period prior to high commercial use and a decline in both horseshoe crabs and shorebirds that depend on them for food during annual migrations.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/mcfafs/vtaf040","usgsCitation":"Sweka, J., Anstead, K., Smith, D.R., Barry, L., Zimmerman, J., Doctor, S., Weedon, C., Gartland, J., Jiao, Y., Ferretti, F., and Hallerman, E.M., 2025, Recovery of Delaware Bay horseshoe crabs following harvest reductions: Marine and Coastal Fisheries: Dynamics, Management and Ecosystem Science, v. 17, no. 5, vtaf040, 11 p., https://doi.org/10.1093/mcfafs/vtaf040.","productDescription":"vtaf040, 11 p.","ipdsId":"IP-180039","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498928,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/mcfafs/vtaf040","text":"Publisher Index Page"},{"id":498794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.73652508190773,\n              39.70362450005183\n            ],\n            [\n              -75.73652508190773,\n              38.62515671907127\n            ],\n            [\n              -74.71835783856952,\n              38.62515671907127\n            ],\n            [\n              -74.71835783856952,\n              39.70362450005183\n            ],\n            [\n              -75.73652508190773,\n              39.70362450005183\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Sweka, John A.","contributorId":348306,"corporation":false,"usgs":false,"family":"Sweka","given":"John A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anstead, Kristen A.","contributorId":348307,"corporation":false,"usgs":false,"family":"Anstead","given":"Kristen A.","affiliations":[{"id":83332,"text":"Atlantic States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":954089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":954090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barry, Linda","contributorId":329848,"corporation":false,"usgs":false,"family":"Barry","given":"Linda","email":"","affiliations":[],"preferred":false,"id":954091,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmerman, Jordan","contributorId":365299,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jordan","affiliations":[{"id":36379,"text":"Delaware Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":954092,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doctor, Steve","contributorId":365300,"corporation":false,"usgs":false,"family":"Doctor","given":"Steve","affiliations":[{"id":87125,"text":"Maryland Fishing and Boating Service","active":true,"usgs":false}],"preferred":false,"id":954093,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weedon, Craig","contributorId":365301,"corporation":false,"usgs":false,"family":"Weedon","given":"Craig","affiliations":[{"id":87125,"text":"Maryland Fishing and Boating Service","active":true,"usgs":false}],"preferred":false,"id":954094,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gartland, James","contributorId":365302,"corporation":false,"usgs":false,"family":"Gartland","given":"James","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":954095,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jiao, Yan","contributorId":204633,"corporation":false,"usgs":false,"family":"Jiao","given":"Yan","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":954096,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ferretti, Francesco","contributorId":356499,"corporation":false,"usgs":false,"family":"Ferretti","given":"Francesco","affiliations":[{"id":85065,"text":"Fish and Wildlife Conservation, College of Natural resources and Environment, Virginia Tech, 310 West Campus Drive, Cheatham Hall, 24060 Blacksburg (Virgin","active":true,"usgs":false}],"preferred":false,"id":954097,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hallerman, Eric M.","contributorId":350503,"corporation":false,"usgs":false,"family":"Hallerman","given":"Eric","middleInitial":"M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":954098,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70272281,"text":"70272281 - 2025 - Control of a dominant predator influences the occurrence of a mesocarnivore of conservation concern","interactions":[],"lastModifiedDate":"2025-11-20T15:59:07.890196","indexId":"70272281","displayToPublicDate":"2025-10-24T09:53:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Control of a dominant predator influences the occurrence of a mesocarnivore of conservation concern","docAbstract":"<div class=\"title\">Context</div><p>Interspecific interactions shape ecological communities, influence community dynamics, and drive co-evolution. Despite their ecological significance, predation and competition remain understudied in plains spotted skunks (<i>Spilogale interrupta</i>), a species of conservation concern. Clarifying how predator management influences their occurrence is crucial for effective conservation.</p><div class=\"title\">Aims</div><p>We investigated how coyote (<i>Canis latrans</i>) management affects the occupancy of plains spotted skunks and whether interspecific interactions with domestic cats (<i>Felis catus</i>) and striped skunks (<i>Mephitis mephitis</i>) influence plains spotted skunk occurrence.</p><div class=\"title\">Methods</div><p>We analysed live-trap data from east-central South Dakota collected in spring of 2021 and 2022. The study area encompassed portions of counties that implemented disparate predator management regimes, including one with systematic annual coyote removal and another without. We used single-species occupancy models to estimate detection and occupancy probabilities for plains spotted skunks, domestic cats, and striped skunks, incorporating environmental factors, including the site-specific predator control regime. We then applied conditional two-species occupancy models to test whether cats and striped skunks influenced plains spotted skunk occurrence.</p><div class=\"title\">Key results</div><p>Plains spotted skunks had the lowest occupancy, followed by domestic cats, and striped skunks. Our findings showed significant associations between coyote removal and occupancy probabilities for each mesocarnivore species. Plains spotted skunks had higher occupancy in areas where coyotes were annually removed. Spotted skunk occurrence was not conditional on either domestic cat or striped skunk occurrence.</p><div class=\"title\">Conclusions</div><p>In our study system, cats appear to pose less predation risk to spotted skunks than do other predators, reducing the likelihood that cats significantly influence spotted skunk occupancy. Defensive behaviours and use of spatial refugia by plains spotted skunks may further mitigate predation risk. In addition, co-evolutionary pressures may have led to trait adaptations that facilitate the independent co-occurrence of plains spotted skunks and striped skunks.</p><div class=\"title\">Implications</div><p>Our findings highlighted the ecological consequences of predator management and the importance of considering predator–prey dynamics in conservation and management planning. Strategies aimed at conserving plains spotted skunks should integrate predator control measures while considering broader mesocarnivore community interactions.</p>","language":"English","publisher":"CSIRO","doi":"10.1071/wr25116","usgsCitation":"White, K.M., Cheeseman, A.E., Stafford, J.D., and Lonsinger, R.C., 2025, Control of a dominant predator influences the occurrence of a mesocarnivore of conservation concern: Wildlife Research, v. 52, no. 11, WR25116, 11 p., https://doi.org/10.1071/wr25116.","productDescription":"WR25116, 11 p.","ipdsId":"IP-167639","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":496758,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wr25116","text":"Publisher Index Page"},{"id":496689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","county":"Faulk County, Hand County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99.41029196481595,\n              45.22348100024749\n            ],\n            [\n              -99.41029196481595,\n              44.93699850419435\n            ],\n            [\n              -99.21031756805021,\n              44.93699850419435\n            ],\n            [\n              -99.21031756805021,\n              45.22348100024749\n            ],\n            [\n              -99.41029196481595,\n              45.22348100024749\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99.21800889100282,\n              44.862086955641644\n            ],\n            [\n              -99.21800889100282,\n              44.57653297552261\n            ],\n            [\n              -99.02572581718914,\n              44.57653297552261\n            ],\n            [\n              -99.02572581718914,\n              44.862086955641644\n            ],\n            [\n              -99.21800889100282,\n              44.862086955641644\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"52","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Kara M.","contributorId":362624,"corporation":false,"usgs":false,"family":"White","given":"Kara","middleInitial":"M.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":950668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cheeseman, Amanda E.","contributorId":362627,"corporation":false,"usgs":false,"family":"Cheeseman","given":"Amanda","middleInitial":"E.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":950669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Joshua D. 0000-0001-7590-8708 jstafford@usgs.gov","orcid":"https://orcid.org/0000-0001-7590-8708","contributorId":267260,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":950670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950671,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273798,"text":"70273798 - 2025 - Geochemical evidence for the origin of late Quaternary loess, Seward Peninsula, Alaska","interactions":[],"lastModifiedDate":"2026-01-30T16:32:13.465269","indexId":"70273798","displayToPublicDate":"2025-10-22T09:28:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evidence for the origin of late Quaternary loess, Seward Peninsula, Alaska","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Loess is the most widespread surficial deposit in the state of Alaska. Although loess of last glacial age is common in mid-continental North America, records of last glacial loess in Alaska have been elusive. Here we report a record of last glacial loess on the Seward Peninsula, along with studies of a transect of loess localities also thought to date to the last glacial period. Highly diverse hypotheses on the origin of loess on the Seward Peninsula include local volcanic rocks and mountain ranges to the north and south, as well as offshore deposits. We present particle size and mineralogical and geochemical data that indicate that the most likely sources for loess in this part of eastern Beringia are glaciogenic silt particles of the Kobuk River and Noatak River, both of which drain the Brooks Range to the northeast. Northeasterly paleowinds were therefore responsible for loess on the Seward Peninsula. Such winds probably occurred during late summer or early autumn, when river discharge was at a minimum but temperatures were still above freezing. Northeasterly winds during the last glacial period are in good agreement with a recent paleoclimate model.</span></span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2025.2564571","usgsCitation":"Muhs, D., and Pigati, J.S., 2025, Geochemical evidence for the origin of late Quaternary loess, Seward Peninsula, Alaska: Arctic, Antarctic, and Alpine Research, v. 57, no. 1, 2564571, 35 p., https://doi.org/10.1080/15230430.2025.2564571.","productDescription":"2564571, 35 p.","ipdsId":"IP-170278","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":499614,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2025.2564571","text":"Publisher Index Page"},{"id":499370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -169.55037494280683,\n              66.8388103328742\n            ],\n            [\n              -169.55037494280683,\n              63.980403413505144\n            ],\n            [\n              -159.37080899997525,\n              63.980403413505144\n            ],\n            [\n              -159.37080899997525,\n              66.8388103328742\n            ],\n            [\n              -169.55037494280683,\n              66.8388103328742\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":954861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":954862,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273181,"text":"70273181 - 2025 - Tracing invasion routes of Cuban treefrogs into Louisiana using mitochondrial DNA","interactions":[],"lastModifiedDate":"2025-12-18T15:57:48.38176","indexId":"70273181","displayToPublicDate":"2025-10-16T09:49:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17102,"text":"Frontiers in Amphibian and Reptile Science","active":true,"publicationSubtype":{"id":10}},"title":"Tracing invasion routes of Cuban treefrogs into Louisiana using mitochondrial DNA","docAbstract":"<p><span>Understanding the origin and spread of invasive species is critical for predicting when and where new introductions will establish, and impact native species. However, due to the complexity of contributing factors such as multiple introductions, dispersal method, genetic admixture in founding populations, and variable propagule pressure, genetic patterns observed in invasive species may not always conform to a single theoretical expectation. Cuban treefrogs (</span><i>Osteopilus septentrionalis</i><span>) are invasive in peninsular Florida and sporadically in the Florida panhandle. Though&nbsp;</span><i>O. septentrionalis</i><span>&nbsp;has been occasionally reported in Louisiana since the 1990s, established populations were not present until the discovery of a breeding population in New Orleans in 2017. In this study we investigated the source of this novel population using existing and newly generated cytochrome B (cyt-b) mitochondrial gene sequences from the native and invasive range of&nbsp;</span><i>O. septentrionalis</i><span>. We recovered a total of 14 cyt-b haplotypes, nine novel and five previously published. Within the 95 Louisiana invasion samples, we recovered seven haplotypes including five novel haplotypes. The haplotypes most common in Louisiana were shared exclusively with west and east Florida localities in central Florida, indicating a possible source population. The presence of haplotypes private to the Louisiana locality suggests other unsampled localities may also be contributing to the Louisiana settlement. Metrics of genetic diversity across native and invasive localities did not significantly differ. Furthermore, the Louisiana samples had higher genetic diversity than any single location sampled within Florida. Thus, genetic diversity and our haplotype connectivity suggest the Louisiana population is derived from multiple introductions from Florida. Our study highlights how demographic and genetic analyses can be utilized to understand the source and future expansion potential of invasive populations.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/famrs.2025.1646714","usgsCitation":"Brosnan, E.B., Paniagua Torres, K.A., Martin, K.R., Atkinson, M.S., Glorioso, B., Waddle, H., Mendyk, R.W., and Savage, A.E., 2025, Tracing invasion routes of Cuban treefrogs into Louisiana using mitochondrial DNA: Frontiers in Amphibian and Reptile Science, v. 3, 1646714, 13 p., https://doi.org/10.3389/famrs.2025.1646714.","productDescription":"1646714, 13 p.","ipdsId":"IP-180577","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/famrs.2025.1646714","text":"Publisher Index 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B.","contributorId":364385,"corporation":false,"usgs":false,"family":"Brosnan","given":"Erin","middleInitial":"B.","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":952617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paniagua Torres, Karen A.","contributorId":364386,"corporation":false,"usgs":false,"family":"Paniagua Torres","given":"Karen","middleInitial":"A.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":952618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Katerine R.","contributorId":364388,"corporation":false,"usgs":false,"family":"Martin","given":"Katerine","middleInitial":"R.","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":952619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atkinson, Matthew S.","contributorId":364391,"corporation":false,"usgs":false,"family":"Atkinson","given":"Matthew","middleInitial":"S.","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":952620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glorioso, Brad 0000-0002-5400-7414","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":219360,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waddle, Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":222187,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952622,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mendyk, Robert W.","contributorId":364397,"corporation":false,"usgs":false,"family":"Mendyk","given":"Robert","middleInitial":"W.","affiliations":[{"id":86815,"text":"Audubon Zoo","active":true,"usgs":false}],"preferred":false,"id":952623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Savage, Anna E.","contributorId":364398,"corporation":false,"usgs":false,"family":"Savage","given":"Anna","middleInitial":"E.","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":952624,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70273317,"text":"70273317 - 2025 - Summer roost site suitability analyses for 4 special status bat species in the Eastern United States","interactions":[],"lastModifiedDate":"2026-01-06T14:41:32.178329","indexId":"70273317","displayToPublicDate":"2025-10-14T08:37:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Summer roost site suitability analyses for 4 special status bat species in the Eastern United States","docAbstract":"<p><span>Data describing habitat suitability are crucial for implementing effective conservation planning but are often lacking at regional and continental scales. We address this gap for 4 bat species that are listed, proposed for listing, or under Endangered Species Act listing review by highlighting a framework for estimating summer roost suitability with a presence-background approach to aid development of conservation policy and management plans. The 4 species of concern are the Little Brown Bat (</span><i>Myotis lucifugus</i><span>), the Northern Long-eared Bat (</span><i>M. septentrionalis</i><span>), the Indiana Bat (</span><i>M. sodalis</i><span>), and the Tricolored Bat (</span><i>Perimyotis subflavus</i><span>). Our estimates of summer roost suitability were developed for the eastern United States at a fine spatial resolution (250 m pixels) suitable for conservation planning across multiple scales. Summer roost habitat suitability was higher in areas with higher tree canopy cover for each of these species, though subtle differences were observed between the species that often use buildings (e.g., Little Brown Bat), tree crevices, cavities, and elements of dead or dying trees (e.g., Northern Long-eared Bat and Indiana Bat), and foliage (e.g., Tricolored Bat). To this end, roost suitability was not identical among species, and each showed subtly different relationships to the environmental covariates considered here. We also use a novel approach, gradient surface metrics, to quantify differences in the spatial pattern of summer roost suitability among the 4 species and found that tricolored bats and northern long-eared bats showed the most homogeneous and spatially smooth habitat suitability surfaces. Estimates of summer roost suitability developed here were also used to identify areas of good summer habitat where our models showed the least uncertainty that may be beneficial for targeted conservation, such as limiting disturbance to potential roost habitat. We also identified areas where additional data would benefit future summer roost modeling efforts. This work provides a first step toward developing multistate inventories of summer roost habitat suitable for implementing effective conservation planning at multiple scales.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyaf057","usgsCitation":"Inman, R.D., Schuhmann, A.N., Sawyer, S., Gaulke, S.M., Tousley, F.C., Davis, H.T., Udell, B.J., Straw, B., Reichard, J.D., and Reichert, B., 2025, Summer roost site suitability analyses for 4 special status bat species in the Eastern United States: Journal of Mammalogy, v. 106, no. 6, p. 1399-1411, https://doi.org/10.1093/jmammal/gyaf057.","productDescription":"13 p.","startPage":"1399","endPage":"1411","ipdsId":"IP-165519","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":498339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-10-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Inman, Richard D. 0000-0002-1982-7791 rdinman@usgs.gov","orcid":"https://orcid.org/0000-0002-1982-7791","contributorId":187754,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuhmann, Andrea Nichole 0009-0005-8244-4303","orcid":"https://orcid.org/0009-0005-8244-4303","contributorId":329059,"corporation":false,"usgs":true,"family":"Schuhmann","given":"Andrea","email":"","middleInitial":"Nichole","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sawyer, Sarah","contributorId":210922,"corporation":false,"usgs":false,"family":"Sawyer","given":"Sarah","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":953315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaulke, Sarah Mccrimmon 0000-0002-2657-5844","orcid":"https://orcid.org/0000-0002-2657-5844","contributorId":225564,"corporation":false,"usgs":true,"family":"Gaulke","given":"Sarah","email":"","middleInitial":"Mccrimmon","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":953316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tousley, Frank Charles 0000-0002-6859-7558","orcid":"https://orcid.org/0000-0002-6859-7558","contributorId":304216,"corporation":false,"usgs":true,"family":"Tousley","given":"Frank","middleInitial":"Charles","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953317,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Helen Trice 0000-0001-5449-4331","orcid":"https://orcid.org/0000-0001-5449-4331","contributorId":336752,"corporation":false,"usgs":true,"family":"Davis","given":"Helen","middleInitial":"Trice","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953318,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Udell, Bradley James 0000-0001-5225-4959","orcid":"https://orcid.org/0000-0001-5225-4959","contributorId":271174,"corporation":false,"usgs":true,"family":"Udell","given":"Bradley","email":"","middleInitial":"James","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953319,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Straw, Bethany R. 0000-0001-9086-4600","orcid":"https://orcid.org/0000-0001-9086-4600","contributorId":271020,"corporation":false,"usgs":true,"family":"Straw","given":"Bethany","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953320,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reichard, Jonathan D. 0000-0002-4792-2868","orcid":"https://orcid.org/0000-0002-4792-2868","contributorId":337073,"corporation":false,"usgs":false,"family":"Reichard","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":953321,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":953322,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70272121,"text":"70272121 - 2025 - A short-term sublethal oral exposure to microcystin-LR disrupts cecal microbiome homeostasis in mallard","interactions":[],"lastModifiedDate":"2025-11-17T15:22:32.817241","indexId":"70272121","displayToPublicDate":"2025-10-14T08:16:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22705,"text":"Frontiers in Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"A short-term sublethal oral exposure to microcystin-LR disrupts cecal microbiome homeostasis in mallard","docAbstract":"<p>Introduction: <span>The frequency of cyanobacterial blooms seems to have increased globally in recent decades due to human induced eutrophication and climate change. Cyanobacterial blooms can produce several groups of toxins, among which microcystin-LR (MC-LR) is one of the most abundant. Effects of MC-LR on avian microbiome have not been studied and studies in laboratory murines have been limited to metabarcoding of prokaryotes.</span></p><p>Methods: <span>Using RNA shotgun sequencing, we compared the richness and composition of metabolically active prokaryotes, expressed virulence factors, antimicrobial resistance genes, metabolic pathways, Gene Ontology terms, enzymes, and proteins in mallards (Anas platyrhynchos) that were orally exposed to a sublethal dose of MC-LR for one week and unexposed birds.</span></p><p>Results: <span>Richness and composition of all compared features did not differ between exposed and control birds and none were differentially expressed between exposure groups. However, richness and/or composition of all features except virulence factors and Carbohydrate Active enzymes had multiple-fold greater dispersion in exposed birds than in controls. This effect was especially pronounced in expressed metabolic (MetaCyc) pathways.</span></p><p>Discussion: <span>Our results suggest that MC-LR exposure had a stochastic (rather than deterministic) effect on cecal microbiota, especially its function. Observed disturbance of the microbiota homeostasis is consistent with the Anna Karenina Principle. This principle has been documented in a wide range of eukaryotes using primarily microbial community metabarcoding. Although stochastic disturbance of microbiota function has been hypothesized, our study seems to be the first to demonstrate this in an experimental study.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/ftox.2025.1634241","usgsCitation":"Drovetski, S.V., Shearn-Bochsler, V.I., Hofmeister, E.K., Karouna-Reiner, N.K., and Dusek, R.J., 2025, A short-term sublethal oral exposure to microcystin-LR disrupts cecal microbiome homeostasis in mallard: Frontiers in Toxicology, v. 7, 1634241, 10 p., https://doi.org/10.3389/ftox.2025.1634241.","productDescription":"1634241, 10 p.","ipdsId":"IP-179504","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ftox.2025.1634241","text":"Publisher Index 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0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":950140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karouna-Reiner, Natalie K.","contributorId":84258,"corporation":false,"usgs":true,"family":"Karouna-Reiner","given":"Natalie","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":950141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":950142,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273161,"text":"70273161 - 2025 - Initial responses of songbird communities to forest reclamation on legacy surface mines","interactions":[],"lastModifiedDate":"2025-12-17T14:58:18.760746","indexId":"70273161","displayToPublicDate":"2025-10-09T08:51:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Initial responses of songbird communities to forest reclamation on legacy surface mines","docAbstract":"<p><span>Surface coal mining and subsequent reclamation efforts in the Appalachian Mountains, USA, transform the ecological characteristics of natural landscapes. The Forestry Reclamation Approach (FRA) is a mine reclamation method that emphasizes best management practices in forestry. FRA practices have demonstrated success in establishing native forests and accelerating natural succession on coal mines; however, no studies have empirically examined the effects of the FRA on bird communities. Our study aimed to assess the avian community composition within young forests reclaimed using the FRA after one decade of forest growth. Whereas traditional reclamation practices often support grassland avian guilds, we expected that the FRA would provide habitat for shrubland and young forest avian guilds. Moreover, we sought to determine whether FRA forests would contain known avian indicator species of the native forest land cover. In June 2022, we conducted point count surveys in high-elevation, red spruce-northern hardwood (RS-NH) forests in the Appalachian Mountains of eastern West Virginia, USA. Using Bayesian multispecies occupancy models, we assessed avian guild occupancy and species richness within two FRA forest age classes (2–5 years and 8–11 years). We also examined avian community composition within two older RS-NH reference age classes to predict the future avian composition within FRA forests if reclamation succeeds. We found that the FRA breeding bird community included all of the avian indicator species expected to inhabit a young RS-NH forest. These results suggest that after approximately one decade, legacy mines reclaimed using the FRA are progressing toward a native RS-NH forest that supports associated forest bird communities.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70423","usgsCitation":"Davenport, R.N., Barton, C.D., Cox, J., Guzy, J.C., Sherman, L., Larkin, J.L., Fearer, T., and Price, S.J., 2025, Initial responses of songbird communities to forest reclamation on legacy surface mines: Ecosphere, v. 16, no. 10, e70423, 15 p., https://doi.org/10.1002/ecs2.70423.","productDescription":"e70423, 15 p.","ipdsId":"IP-157888","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497734,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70423","text":"Publisher Index Page"},{"id":497631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Monongahela National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.9833,\n              38.6833\n            ],\n            [\n              -78.9833,\n              38.545833\n            ],\n            [\n              -78.8667,\n              38.545833\n            ],\n            [\n              -78.8667,\n              38.6833\n            ],\n            [\n              -78.9833,\n              38.6833\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Davenport, Rebecca N.","contributorId":364334,"corporation":false,"usgs":false,"family":"Davenport","given":"Rebecca","middleInitial":"N.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barton, Christopher D.","contributorId":150222,"corporation":false,"usgs":false,"family":"Barton","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, John J.","contributorId":140196,"corporation":false,"usgs":false,"family":"Cox","given":"John J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guzy, Jacquelyn C. 0000-0003-2648-398X","orcid":"https://orcid.org/0000-0003-2648-398X","contributorId":288520,"corporation":false,"usgs":true,"family":"Guzy","given":"Jacquelyn","email":"","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherman, Lauren","contributorId":336563,"corporation":false,"usgs":false,"family":"Sherman","given":"Lauren","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larkin, Jeffery L.","contributorId":364335,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffery","middleInitial":"L.","affiliations":[{"id":38138,"text":"Indiana University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":952546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fearer, Todd","contributorId":264971,"corporation":false,"usgs":false,"family":"Fearer","given":"Todd","affiliations":[{"id":54600,"text":"Appalacian Mountains Joint Venture","active":true,"usgs":false}],"preferred":false,"id":952547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Price, Steven J.","contributorId":364336,"corporation":false,"usgs":false,"family":"Price","given":"Steven","middleInitial":"J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952548,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70272199,"text":"70272199 - 2025 - Tree swallows as indicators of per- and polyfluoroalkyl substance exposure and effects at select Department of Defense sites along the East Coast and at sites with different sources in the Upper Midwest, United States","interactions":[],"lastModifiedDate":"2025-11-20T14:20:07.393739","indexId":"70272199","displayToPublicDate":"2025-10-08T08:40:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Tree swallows as indicators of per- and polyfluoroalkyl substance exposure and effects at select Department of Defense sites along the East Coast and at sites with different sources in the Upper Midwest, United States","docAbstract":"<p><span>Questions remain about the distribution of per- and polyfluoroalkyl substances (PFAS) in the environment, the sources and movement within and between ecosystems, and whether there are effects from such exposure. Information from the Upper Midwest and the mid-Atlantic regions of the United States, which have different PFAS sources, were investigated. Concentrations of Total</span><sub>40</sub><span>&nbsp;(sum of 40 PFAS), perfluorooctane sulfonate, perfluorohexane sulfonate, and Total</span><sub>13</sub><span>&nbsp;(sum of 13 PFAS) were consistently higher, by as much as a factor of 40, in tree swallow (</span><i>Tachycineta bicolor</i><span>) tissue samples (eggs, nestlings, and diet) at sites along the East Coast, where aqueous film-forming foams (AFFF) were extensively used when compared with East Coast reference sites. Sites in the Upper Midwest, with other PFAS sources, had qualitatively lower concentrations of PFAS than AFFF source sites. Perfluorooctane sulfonate was the only PFAS detected in all samples. Concentrations of most other PFAS, such as the carboxylates and fluorotelomers, did not differ between AFFF and reference sites. Perfluorohexane sulfonate, the second-most common constituent of some legacy AFFF formulations, was &lt;1% of Total</span><sub>40</sub><span>&nbsp;at the reference sites in eggs and nestlings, but perfluorohexane sulfonate represented up to 9.7% (eggs) and 9.0% (nestlings) at AFFF-influenced sites. Despite differences in PFAS exposure, the daily probability of egg and nestling survival, as well as haptoglobin-like activity (PIT54) and total immunoglobulin Y, was similar across all sites. There were also no significant associations between these end points and concentrations of Total</span><sub>40</sub><span>&nbsp;or individual PFAS in eggs or nestlings.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf207","usgsCitation":"Custer, C.M., Dummer, P.M., Schultz, S.L., Karouna-Renier, N., and Matson, C.W., 2025, Tree swallows as indicators of per- and polyfluoroalkyl substance exposure and effects at select Department of Defense sites along the East Coast and at sites with different sources in the Upper Midwest, United States: Environmental Toxicology and Chemistry, v. 44, no. 11, p. 3159-3191, https://doi.org/10.1093/etojnl/vgaf207.","productDescription":"33 p.","startPage":"3159","endPage":"3191","ipdsId":"IP-173181","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496638,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"East Coast, Upper Midwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -69.67398671307569,\n              48.00020834558444\n            ],\n            [\n              -78.77194547995512,\n              43.96819919165159\n            ],\n            [\n              -78.43793485353297,\n              42.23585319711049\n            ],\n            [\n              -75.42775284050555,\n              36.67513017535144\n            ],\n            [\n              -67.63700987323536,\n              42.39377603789744\n            ],\n            [\n              -66.75591617258152,\n             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ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dummer, Paul M. 0000-0002-2055-9480 pdummer@usgs.gov","orcid":"https://orcid.org/0000-0002-2055-9480","contributorId":3015,"corporation":false,"usgs":true,"family":"Dummer","given":"Paul","email":"pdummer@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schultz, Sandra L. 0000-0003-3394-2857 sschultz@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-2857","contributorId":5966,"corporation":false,"usgs":true,"family":"Schultz","given":"Sandra","email":"sschultz@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matson, Cole W.","contributorId":362404,"corporation":false,"usgs":false,"family":"Matson","given":"Cole","middleInitial":"W.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":950422,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274119,"text":"70274119 - 2025 - Mapping a Carrington storm","interactions":[],"lastModifiedDate":"2026-02-26T17:25:32.943003","indexId":"70274119","displayToPublicDate":"2025-10-07T10:16:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mapping a Carrington storm","docAbstract":"<p><span>A map is presented of median 1-min-resolution peak geoelectric-field strength across the United States as would be induced by magnetic storms as intense as the 2 September 1859 Carrington storm. The map is constructed from two data sets: Magnetometer time series from 22 ground-based observatories recording 40 magnetic storms, and surface impedance tensors derived from magnetotelluric measurements acquired at 1616 survey sites across the contiguous United States. Carrington-class storm geoelectric fields are likely to be very strong in the United States East and Midwest; &gt; <strong>5.00 </strong></span><span>V/km at many places. In Virginia, strengths would likely range from 30.30&nbsp;V/km, with a 68% confidence interval of [19.44,47.20] V/km, to as low as 0.05 [0.03,0.07] V/km. Comparison of model geopotentials with those measured on 30 long lines, indicates errors of about 18%. A Carrington-class storm would likely induce geoelectric fields with strengths 55% greater than for the 13–14 March 1989 storm.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL116835","usgsCitation":"Love, J.J., Lucas, G.M., Kelbert, A., Rigler, E.J., Bedrosian, P.A., and Schnepf, N.R., 2025, Mapping a Carrington storm: Geophysical Research Letters, v. 52, no. 19, e2025GL116835, 12 p., https://doi.org/10.1029/2025GL116835.","productDescription":"e2025GL116835, 12 p.","ipdsId":"IP-178833","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":500626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl116835","text":"Publisher Index Page"},{"id":500557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"contiguous 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,{"id":70272665,"text":"70272665 - 2025 - Host responses and viral traits interact to shape the impacts of climate warming on highly pathogenic avian influenza in migratory waterfowl","interactions":[],"lastModifiedDate":"2025-12-03T16:42:49.612362","indexId":"70272665","displayToPublicDate":"2025-10-06T10:36:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22986,"text":"PLOS Computational Biology.","active":true,"publicationSubtype":{"id":10}},"title":"Host responses and viral traits interact to shape the impacts of climate warming on highly pathogenic avian influenza in migratory waterfowl","docAbstract":"<p><span>Emerging infectious diseases pose threats to wildlife populations, as exemplified by recent outbreaks of avian influenza viruses in wild birds. Climate change can affect infection dynamics in wildlife through direct effects on pathogens (e.g., environmental decay rates) and changes to host ecology, including shifting migration patterns. Here, we adapt an existing mechanistic model that couples migration and infection to study how traits of highly pathogenic avian influenza (HPAI) viruses contribute to HPAI outcomes in migratory waterfowl, then apply this model to explore potential impacts of climate change on HPAI dynamics. We find that the simulated impacts of HPAI on the host population under baseline climate conditions varied from no impact to 100% mortality, depending on viral traits. In most cases, traits related to transmission (i.e., contact rates, shedding rates) were more important for HPAI establishment probability, infection prevalence, and mortality than were other viral traits (e.g., environmental temperature sensitivity, cross-protective immunity). We then simulated the effects of climate change (i.e., altered temperature regimes) on HPAI dynamics both via viral environmental decay and via changes in bird migration phenology. In these simulations, we found that a 9-day advancement in spring migration timing increased the duration of HPAI outbreaks by increasing time birds spent at their breeding grounds, leading to higher mortality and fewer infections. In contrast, increased viral decay in warmer years had a smaller, but opposite impact. These patterns depended on the primary transmission mode of HPAI (i.e., direct vs. environmental) and its sensitivity to environmental temperatures. Together, these results suggest that climate change is likely to increase the impacts of HPAI on waterfowl populations if HPAI relies strongly on direct transmission and birds advance their spring migration. Further integrating host-viral co-evolution and other climatic changes (e.g., salinity, humidity) could provide more precise predictions of how HPAI dynamics could change in the future.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pcbi.1013451","usgsCitation":"Teitelbaum, C.S., Casazza, M.L., Overton, C.T., Matchett, E., and Prosser, D.J., 2025, Host responses and viral traits interact to shape the impacts of climate warming on highly pathogenic avian influenza in migratory waterfowl: PLOS Computational Biology., v. 21, no. 10, e1013451, 22 p., https://doi.org/10.1371/journal.pcbi.1013451.","productDescription":"e1013451, 22 p.","ipdsId":"IP-157531","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":497119,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pcbi.1013451","text":"Publisher Index 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0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":951271,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273938,"text":"70273938 - 2025 - Pre-Acadian tectonics of the eastern Orange-Milford Belt, south-central Connecticut","interactions":[],"lastModifiedDate":"2026-02-18T15:29:02.070069","indexId":"70273938","displayToPublicDate":"2025-10-03T09:18:40","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Pre-Acadian tectonics of the eastern Orange-Milford Belt, south-central Connecticut","docAbstract":"<p>This excursion presents a reinterpretation of mapping and new analytical data from the eastern Orange-Milford belt (OMB) in south-central Connecticut. The OMB is a fault-bound terrane of argillites and mafic rocks of anomalously low metamorphic grade—and of poorly constrained ages and tectonic affinity—wedged between kyanite/sillimanite-grade peri- Laurentian rocks to the west and anatectic peri-Gondwanan rocks to the east (Fig. 1A). Our data demonstrate that Ordovician(?) igneous and sedimentary rocks of the OMB were variably metamorphosed in the Ordovician and Silurian but escaped regionally pervasive, high-grade Devonian and later metamorphism. Previous interpretations (Fritts 1963a, 1965a, 1965b; Burger, 1967; Burger and others, 1968; Rodgers, 1985) described these rocks as a conformable sequence of low-grade, Ordovician to Devonian metasediments and metavolcanics. Our results reveal that the “metavolcanics” are not extrusive rocks but rather slivers of lower oceanic crust with complicated high- and low-grade metamorphic fabrics, intruded by a swarm of Silurian sheeted basalt dikes, and in fault contact with the surrounding metasediments. The purpose of this trip is to show evidence of early Paleozoic (Taconic) deformation and metamorphism preserved in rocks of the eastern OMB. These rocks remained shallow, cool, and sufficiently dry during the regionally dominant Acadian and Alleghanian orogenies to have avoided significant overprinting. As such, these rocks serve as windows into a geologic history otherwise unavailable between anatectic rocks of the peri-Gondwanan Bronson Hill, Avalon, and Gander terranes east of the Hartford basin and sillimanite-grade rocks of the peri-Laurentian Hartland and gneiss dome belts west of the OMB. We present major and trace element geochemistry including rare-earth element patterns for all mafic units in the eastern OMB as well as <sup>40</sup>Ar/<sup>39</sup>Ar age spectra of amphibole, muscovite, and K-feldspar from rocks of the Maltby Lakes complex (of Deasy and others, 2017), Savin Schist, and Wepawaug Schist. Our evidence demonstrates that the units of the OMB have been assembled by faulting or intrusion, and that no stratigraphic relationships exist between the argillaceous schists and the metaigneous rocks.&nbsp;</p>","conferenceTitle":"The 116th Annual Meeting of the New England Intercollegiate Geological Conference","conferenceDate":"October 3-5, 2025","conferenceLocation":"New Haven, CT","language":"English","publisher":"New England Intercollegiate Geologic Conference","usgsCitation":"Deasy, R.T., Wintsch, R.P., Wathen, B., McAleer, R.J., Meyer, R., and Kunk, M.J., 2025, Pre-Acadian tectonics of the eastern Orange-Milford Belt, south-central Connecticut, The 116th Annual Meeting of the New England Intercollegiate Geological Conference, New Haven, CT, October 3-5, 2025, 28 p.","productDescription":"28 p.","ipdsId":"IP-180844","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":500140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500131,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.neigc.info/event-details/trip-c-tectonic-slivers-of-oceanic-crust-sheeted-dikes-and-sheared-gabbros-in-the-eastern-orange-milford-belt-connect"}],"country":"United States","state":"Connecticut","otherGeospatial":"Orange-Milford Belt","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.19443061248478,\n              41.40182493381846\n            ],\n            [\n              -73.19443061248478,\n              41.14678441229245\n            ],\n            [\n              -72.93204746185228,\n              41.14678441229245\n            ],\n            [\n              -72.93204746185228,\n              41.40182493381846\n            ],\n            [\n              -73.19443061248478,\n              41.40182493381846\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2025-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Deasy, Ryan T. 0000-0002-7530-803X","orcid":"https://orcid.org/0000-0002-7530-803X","contributorId":299762,"corporation":false,"usgs":true,"family":"Deasy","given":"Ryan","middleInitial":"T.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":955820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wintsch, Robert P. 0000-0002-1969-5514","orcid":"https://orcid.org/0000-0002-1969-5514","contributorId":366404,"corporation":false,"usgs":false,"family":"Wintsch","given":"Robert","middleInitial":"P.","affiliations":[{"id":86055,"text":"Indiana University emeritus","active":true,"usgs":false}],"preferred":false,"id":955821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wathen, Bryan","contributorId":148990,"corporation":false,"usgs":false,"family":"Wathen","given":"Bryan","affiliations":[{"id":17608,"text":"Indiana Univesity","active":true,"usgs":false}],"preferred":false,"id":955822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":955823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Romain","contributorId":148991,"corporation":false,"usgs":false,"family":"Meyer","given":"Romain","email":"","affiliations":[{"id":17609,"text":"Deutsche GeoForchungsZentrum Potsdam","active":true,"usgs":false}],"preferred":false,"id":955824,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kunk, Michael J.","contributorId":366405,"corporation":false,"usgs":false,"family":"Kunk","given":"Michael","middleInitial":"J.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":955825,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272610,"text":"70272610 - 2025 - Spatiotemporal overlap of mallards with poultry farms is associated with greater risk of avian influenza wild bird spillover events","interactions":[],"lastModifiedDate":"2025-11-24T16:13:28.896732","indexId":"70272610","displayToPublicDate":"2025-10-01T10:07:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal overlap of mallards with poultry farms is associated with greater risk of avian influenza wild bird spillover events","docAbstract":"<p><span>Animal movement influences local transmission and geographic spread of pathogens. Waterfowl are known reservoirs of pathogens, including H5 goose/Guangdong lineage (H5 GsGd) highly pathogenic avian influenza (HPAI). This HPAI virus lineage causes high rates of morbidity and mortality in domestic poultry and many wild bird species. Mallards (</span><i>Anas platyrhynchos</i><span>) are a generalist waterfowl species whose habitat largely overlaps with many other waterfowl and are considered effective spillover vectors of HPAI. To investigate the potential contribution of waterfowl to HPAI spillover, we used mallards as a proxy and measured the spatiotemporal overlap of 183 GPS-tagged mallards during 2021–2022 with respect to confirmed wild bird spillover events in United States (U.S.) poultry farms. Additionally, we estimated the probability of HPAI spillover events as a function of mallard overlap and poultry farm type. We found infrequent overlap instances between mallards and poultry farms; however, several of these overlap instances lasted &gt; 5 days and up to 19 days. Population-level overlap with poultry farms was greatest during pre-breeding migration, followed by the breeding season. The probability of HPAI spillover was predicted to be greatest for commercial turkey farms, followed by backyard poultry farms. Importantly, farms overlapped by mallards were more than twice as likely to experience a spillover (i.e., increased risk probability), even in the absence of known mallard infection status at the time of overlap. These findings suggest that mallards (and/or other waterfowl) may be important contributors to HPAI spillover into poultry farms and that additional biosecurity measures may be needed. Because few instances of overlap occurred between mallards and farms with reported spillover events, tagged mallards are likely a proxy for other untagged waterfowl. Further studies of wild waterfowl interactions with poultry farms could improve understanding of how landscape characteristics influence spatial overlap, potentially informing which premises may require enhanced biosecurity measures.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72221","usgsCitation":"Cullen, J.A., Masto, N.M., Sullivan, J.D., Highway, C., Patyk, K.A., McCool, M., Torchetti, M.K., Lantz, K., Poulson, R., Carter, D., Feddersen, J., Cohen, B.S., and Prosser, D.J., 2025, Spatiotemporal overlap of mallards with poultry farms is associated with greater risk of avian influenza wild bird spillover events: Ecology and Evolution, v. 15, no. 10, e72221, 14 p., https://doi.org/10.1002/ece3.72221.","productDescription":"e72221, 14 p.","ipdsId":"IP-171232","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72221","text":"Publisher Index Page"},{"id":496831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"northwest Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.28286191440344,\n              36.49028636519512\n            ],\n            [\n              -90.12564166360227,\n              36.49028636519512\n            ],\n            [\n              -90.12564166360227,\n              35.224526094303684\n            ],\n            [\n              -88.28286191440344,\n              35.224526094303684\n            ],\n            [\n              -88.28286191440344,\n              36.49028636519512\n            ]\n          ]\n        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0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":950912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Highway, Cory","contributorId":316652,"corporation":false,"usgs":false,"family":"Highway","given":"Cory","affiliations":[{"id":68664,"text":"Tennessee Technical University","active":true,"usgs":false}],"preferred":false,"id":950913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patyk, Kelly A.","contributorId":139696,"corporation":false,"usgs":false,"family":"Patyk","given":"Kelly","email":"","middleInitial":"A.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":950914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCool, Mary-Jane","contributorId":347273,"corporation":false,"usgs":false,"family":"McCool","given":"Mary-Jane","email":"","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":950915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Torchetti, Mia Kim","contributorId":363012,"corporation":false,"usgs":false,"family":"Torchetti","given":"Mia","middleInitial":"Kim","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":950916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lantz, Kristina","contributorId":317920,"corporation":false,"usgs":false,"family":"Lantz","given":"Kristina","email":"","affiliations":[{"id":69192,"text":"National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, USDA","active":true,"usgs":false}],"preferred":false,"id":950917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":950918,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Carter, Deborah","contributorId":213914,"corporation":false,"usgs":false,"family":"Carter","given":"Deborah","affiliations":[{"id":38928,"text":"University of Georgia Southeastern Cooperative Wildlife Disease Study","active":true,"usgs":false}],"preferred":false,"id":950919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Feddersen, Jamie","contributorId":329381,"corporation":false,"usgs":false,"family":"Feddersen","given":"Jamie","email":"","affiliations":[{"id":13408,"text":"Tennessee Wildlife Resources Agency","active":true,"usgs":false}],"preferred":false,"id":950920,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cohen, Bradley S.","contributorId":171513,"corporation":false,"usgs":false,"family":"Cohen","given":"Bradley","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":950921,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950922,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70272182,"text":"70272182 - 2025 - One hundred ninety-nine dead birds: Review of the scientific basis of ecological incident reporting requirements for pesticide registrants under Fifra § 6(A)(2)","interactions":[],"lastModifiedDate":"2025-11-18T15:41:36.861691","indexId":"70272182","displayToPublicDate":"2025-10-01T09:37:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1088,"text":"Buffalo Environmental Law Journal","active":true,"publicationSubtype":{"id":10}},"title":"One hundred ninety-nine dead birds: Review of the scientific basis of ecological incident reporting requirements for pesticide registrants under Fifra § 6(A)(2)","docAbstract":"<p>The U.S. Environmental Protection Agency (EPA) regulates pesticide use in the United States. The EPA is charged by the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) with ensuring that a pesticide will not cause unreasonable adverse effects on the environment. Incident reports (documentation of exposure and injury from pesticide applications) can serve as a reality check on the pesticide registration decisions made by the EPA scientists and risk managers. The EPA collects incident reports on human, domestic animal, and ecological injury. The FIFRA section 6(a)(2) rule requires the pesticide registrant (generally, the company or other entity that wishes to market the pesticide, hereafter registrant) to submit such data to the EPA. </p><p>The EPA’s ecological incident category includes injuries to aquatic (fish), terrestrial (wildlife), other non-target organisms (ONT, e.g., invertebrates) and plants. Our document focuses on the fish and wildlife ecological incidents that are submitted by registrants. We critique the application of the FIFRA section 6(a)(2) rule that controls the quality and quantity of ecological incident data that the EPA receives from registrants. We conclude that the section 6(a)(2) provisions can impede the transfer of ecological incident data from registrant to the EPA. Consequently, detailed data for many fish and wildlife incidents may never reach the EPA, and policies and decisions may be formulated in the absence of these data.</p>","language":"English","publisher":"University at Buffalo School of Law","usgsCitation":"Vyas, N.B., and Palmer, C., 2025, One hundred ninety-nine dead birds: Review of the scientific basis of ecological incident reporting requirements for pesticide registrants under Fifra § 6(A)(2): Buffalo Environmental Law Journal, v. 31, 63 p.","productDescription":"63 p.","ipdsId":"IP-154414","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496572,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.law.buffalo.edu/belj/vol31/iss1/","linkFileType":{"id":5,"text":"html"}}],"volume":"31","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vyas, Nimish B. 0000-0003-0191-1319 nvyas@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-1319","contributorId":4494,"corporation":false,"usgs":true,"family":"Vyas","given":"Nimish","email":"nvyas@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmer, Cynthia","contributorId":362357,"corporation":false,"usgs":false,"family":"Palmer","given":"Cynthia","affiliations":[{"id":86509,"text":"Moms Clean Air Force, c/o Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":950359,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70275124,"text":"70275124 - 2025 - Leveraging artificial intelligence and machine learning to advance Chesapeake Bay research and management: A review of status, challenges, and opportunities","interactions":[],"lastModifiedDate":"2026-04-16T14:39:30.495872","indexId":"70275124","displayToPublicDate":"2025-10-01T09:30:41","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":24003,"text":"STAC Publication","active":true,"publicationSubtype":{"id":3}},"seriesNumber":"25-005","title":"Leveraging artificial intelligence and machine learning to advance Chesapeake Bay research and management: A review of status, challenges, and opportunities","docAbstract":"<p>The Chesapeake Bay and its watershed (hereafter “Chesapeake Bay region”) have been the focus of extensive restoration efforts for several decades. These restoration efforts are guided by the Chesapeake Bay Watershed Agreement (Chesapeake Executive Council 2014) which outlines 10 goals and 31 measurable outcomes. The Chesapeake Bay is globally recognized as a model for coastal restoration due to long-term investments in monitoring, modeling, implementation and research by the Chesapeake Bay Program (CBP) partnership. These monitoring network spans tidal and non-tidal regions and provides data across multiple scales. Artificial intelligence (AI), particularly machine-learning (ML) and deep learning (DL), has emerged as a powerful tool for analyzing large, complex datasets. These techniques have gained widespread adoption across various disciplines, including ecology, hydrology, and environmental science. In the Bay context, AI/ML is increasingly being used to explore drivers of environmental change, analyze system dynamics, and predict conditions in areas with limited monitoring.&nbsp;</p><p>The CBP partnership, particularly its Scientific and Technical Advisory Committee (STAC), has increasingly recognized the growing role of AI/ML in watershed and estuarine management. Recent Chesapeake Community Research Symposium sessions and initiatives such as the Chesapeake Global Collaboratory highlight increasing regional momentum to apply big data and AI/ML for environmental solutions. Together, these developments underscore the timely need to explore how AI/ML can help advance Chesapeake Bay restoration and management.&nbsp;</p><p>This STAC workshop, titled “Leveraging Artificial Intelligence and Machine learning to Advance Chesapeake Bay Research and Management: A review of status, challenges, and opportunities,” was held from February 24-25, 2025, in Edgewater, Maryland to bring together over 50 federal, state, and academic scientists and partners to synthesize the current state of AI/ML applications and identify research gaps in Chesapeake Bay research and management. The workshop focused on three main objectives: </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">1. Summarize recent AI/ML applications and lessons learned in both tidal and nontidal areas of the Chesapeake Bay region. </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">2. Identify challenges and gaps in applying AI/ML approaches to Chesapeake Bay data. Such challenges and gaps may include data limitations, harmonization issues, ineffective communication of AI/ML insights, and a lack of coordination among research and management institutions. </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">3. Develop recommendations and identify opportunities for leveraging AI/ML to address issues across the Chesapeake Bay region. Key areas of focus may include generating new information to support watershed management, delivering AI/MLgenerated insights to managers in a clear and actionable way, and fostering greater collaboration among stakeholders within the CBP Partnership.&nbsp;</p><p>Workshop participants engaged in science presentations and breakout sessions to develop recommendations for advancing the integration of AI/ML techniques into research and management across the Chesapeake Bay region. By synthesizing current applications, identifying challenges, and exploring new opportunities, the workshop has provided valuable insights and recommendations for better leveraging AI/ML approaches to support the success of Bay restoration efforts. Together, these recommendations provide a roadmap for enhancing data-driven, science-based decision making aligned with the goals and outcomes of the Chesapeake Bay Watershed Agreement.&nbsp;</p>","language":"English","publisher":"Chesapeake Bay Scientific and Technical Advisory Committee","usgsCitation":"Zhang, Q., Baker, M., Bertani Isabella, Dennison, B., Linker, L.C., Maloney, K.O., Sabo, R.D., Shen, C., Shenk, G.W., Van Meter, K., and Cole, M., 2025, Leveraging artificial intelligence and machine learning to advance Chesapeake Bay research and management: A review of status, challenges, and opportunities: STAC Publication 25-005, iv, 41 p.","productDescription":"iv, 41 p.","ipdsId":"IP-183399","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":502913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502893,"rank":1,"type":{"id":15,"text":"Index 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