The Island Marble butterfly (Euchloe ausonides insulanus) 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 insulanus, 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 insulanus collected ~ 100 years ago from Vancouver Island, and other members of the E. ausonides species complex, to infer the evolutionary history of the species. The results indicated that insulanus experiences low heterozygosity, a small effective population size (Ne), 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 insulanus were all identical and modern samples showed a loss of allelic diversity compared to insulanus from museums. Extant insulanus formed a clade with museum specimens and we identified multiple putatively diagnostic alleles to differentiate insulanus from other subspecies. Based on these results, we outline considerations for species management and genetic monitoring.
","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 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","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":70272147,"text":"fs20253042 - 2025 - Preserving and increasing water resources—Natural infrastructure in dryland streams in Baja California Sur, Mexico","interactions":[],"lastModifiedDate":"2026-02-03T16:30:25.529535","indexId":"fs20253042","displayToPublicDate":"2025-11-17T12:20:32","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":"2025-3042","displayTitle":"Preserving and Increasing Water Resources—Natural Infrastructure in Dryland Streams in Baja California Sur, Mexico","title":"Preserving and increasing water resources—Natural infrastructure in dryland streams in Baja California Sur, Mexico","docAbstract":"The Los Planes watershed of Baja California Sur, Mexico, and its underlying aquifer are experiencing groundwater decline owing to low average annual rainfall (28.1 centimeters per year) and rising water demand from population growth and agricultural activities. This decline in water availability can lead to desertification—a process that changes arable land to desert by degrading soil and vegetation—and can pose serious challenges to livelihoods that depend on the land.
To address these issues, a ranch in the Los Planes watershed has installed many natural infrastructures in dryland streams (NIDS) in channels for soil and water conservation. In 2022, the U.S. Geological Survey (USGS) began working with regional researchers and land managers to investigate the effects of NIDS on natural biological, geochemical, and physical processes and determine the efficacy of NIDS for water augmentation in the Los Planes watershed. The USGS also worked with local academic institutions and nonprofit organizations to create public educational opportunities focused on the area’s hydrogeology. These and other collaborative efforts with the U.S. Water Partnership and Innovaciones Alumbra aim at enhancing water resources in the Baja California Sur region and promoting water security and safeguarding community well-being.
La cuenca de Los Planes, ubicada en Baja California Sur, México, y su acuífero subyacente, están sufriendo una disminución de las aguas subterráneas debido a la baja precipitación media anual (28.1 centímetros por año) y la alta demanda de agua por parte de una población creciente y la actividad agrícola. Esta disminución de la disponibilidad de agua puede conducir a la desertificación—un proceso que por medio de la degradación del suelo y la vegetación convierte a la tierra cultivable en desierto—representando un serio desafío para los medios de vida de las personas.
Para abordar estos problemas, un rancho en la cuenca de Los Planes ha instalado numerosas obras de Infraestructura Natural en Arroyos de Tierras Áridas (INATS) para conservación del suelo y del agua. En 2022, el Servicio Geológico de los Estados Unidos (USGS, por sus siglas en inglés) comenzó a trabajar con investigadores regionales y gestores de tierras para estudiar los efectos de INATS en los procesos biológicos, geoquímicos y físicos, y determinar su eficacia en el aumento de los recursos hídricos en la cuenca de Los Planes. El USGS se ha asociado con instituciones académicas y organizaciones locales sin fines de lucro para crear oportunidades educativas públicas centradas en la hidrogeología de la zona. Estos y otros esfuerzos colaborativos con la Asociación del Agua de Estados Unidos (U.S. Water Partnership) e Innovaciones Alumbra, tienen como objetivo mejorar el uso de los recursos hídricos en la región de Baja California Sur, promover la seguridad hídrica y proteger el bienestar de la comunidad.
","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253042","usgsCitation":"Anides Morales, A., Norman, L.M., and Mack, T.J., 2025, Preserving and increasing water resources—Natural infrastructure in dryland streams in Baja California Sur, Mexico: U.S. Geological Survey Fact Sheet 2025–3042, 4 p., https://doi.org/10.3133/fs20253042.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-167963","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":496556,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3042/fs20253042.pdf","text":"Report (English)","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3042 PDF (English)"},{"id":496555,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3042/coverthb.jpg"},{"id":496557,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3042/fs20253042_spanish.pdf","text":"Report (Español)","size":"1.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3042 PDF (Spanish)"}],"country":"Mexico","state":"Baja California Sur","otherGeospatial":"Los Planes watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.61060380724068,\n 24.369517436874077\n ],\n [\n -110.61060380724068,\n 22.79088429619047\n ],\n [\n -109.36626743882256,\n 22.79088429619047\n ],\n [\n -109.36626743882256,\n 24.369517436874077\n ],\n [\n -110.61060380724068,\n 24.369517436874077\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Geographic Science Center
U.S. Geological Survey
350 N. Akron Rd.
Moffett Field, CA 94035
Rangelands are extensive ecosystems, providing important ecosystem services while undergoing continuous change. As a result, improved monitoring technologies can help better characterize vegetation change. Satellite remote sensing has proven effective in this regard, tracking vegetation dynamics at broad and fine scales. We leveraged the spatial, spectral, and temporal resolution of Sentinel-2 satellites to estimate fractional cover and canopy gap across rangelands of the western United States. We produced annual, 10 m spatial resolution estimates of fractional cover and canopy gap size class for years 2018 to 2024. Fractional cover estimates include that of common plant functional types (annual forb and grass, bareground, littler, perennial forb and grass, shrub, tree) and select genera (including invasive annual grass species, pinyon-juniper species, and sagebrush species); canopy gap size classes include gap sizes 25 to 50, 51 to 100, 101 to 200, and greater than 200 cm. We make these data available as Cloud Optimized GeoTIFFs, organized as 75×75 km tiles covering the 17 western states of the United States.
","language":"English","publisher":"BioRxiv","doi":"10.1101/2025.03.13.643073","usgsCitation":"Allred, B.W., McCord, S.E., Assal, T.J., Bestelmeyer, B.T., Boyd, C.S., Brooks, A.C., Cady, S.M., Duniway, M.C., Fuhlendorf, S.D., Green, S.A., Harrison, G.R., Jensen, E.R., Kachergis, E.J., Knight, A.C., Mattilio, C.M., Mealor, B.A., Naugle, D.E., O’Leary, D., Olsoy, P.J., Peirce, E.S., Reinhardt, J.R., Shriver, R.K., Smith, J.T., Tack, J.D., Tanner, A.M., Tanner, E.P., Twidwell, D., Webb, N.P., and Morford, S.L., 2025, Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States: BioRxiv, https://doi.org/10.1101/2025.03.13.643073.","productDescription":"29 p.","ipdsId":"IP-183344","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":496923,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2025.03.13.643073","text":"External Repository"},{"id":496781,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Allred, Brady W.","contributorId":362901,"corporation":false,"usgs":false,"family":"Allred","given":"Brady","middleInitial":"W.","affiliations":[{"id":86556,"text":"Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT, USA","active":true,"usgs":false}],"preferred":false,"id":950786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCord, Sarah E.","contributorId":362902,"corporation":false,"usgs":false,"family":"McCord","given":"Sarah","middleInitial":"E.","affiliations":[{"id":86557,"text":"Jornada Experimental Range, USDA Agricultural Research Service, Las Cruces, NM, USA","active":true,"usgs":false}],"preferred":false,"id":950787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Assal, Timothy J.","contributorId":362903,"corporation":false,"usgs":false,"family":"Assal","given":"Timothy","middleInitial":"J.","affiliations":[{"id":86559,"text":"Bureau of Land Management, National Operations Center, Denver, CO, USA","active":true,"usgs":false}],"preferred":false,"id":950788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bestelmeyer, Brandon T.","contributorId":362904,"corporation":false,"usgs":false,"family":"Bestelmeyer","given":"Brandon","middleInitial":"T.","affiliations":[{"id":86557,"text":"Jornada Experimental Range, USDA Agricultural Research Service, Las Cruces, NM, USA","active":true,"usgs":false}],"preferred":false,"id":950789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyd, Chad S.","contributorId":362905,"corporation":false,"usgs":false,"family":"Boyd","given":"Chad","middleInitial":"S.","affiliations":[{"id":86561,"text":"Eastern Oregon Agricultural Research Center, USDA Agricultural Research Service, Burns, OR, USA","active":true,"usgs":false}],"preferred":false,"id":950790,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooks, Alexander C.","contributorId":362906,"corporation":false,"usgs":false,"family":"Brooks","given":"Alexander","middleInitial":"C.","affiliations":[{"id":82671,"text":"Desert Research Institute, Reno, NV, USA","active":true,"usgs":false}],"preferred":false,"id":950791,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cady, Samantha M.","contributorId":362907,"corporation":false,"usgs":false,"family":"Cady","given":"Samantha","middleInitial":"M.","affiliations":[{"id":86562,"text":"Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, USA","active":true,"usgs":false}],"preferred":false,"id":950792,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":219284,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":950793,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fuhlendorf, Samuel D.","contributorId":362908,"corporation":false,"usgs":false,"family":"Fuhlendorf","given":"Samuel","middleInitial":"D.","affiliations":[{"id":86563,"text":"Natural Resource Ecology and Management, Oklahoma State University, Stillwater, OK, USA","active":true,"usgs":false}],"preferred":false,"id":950794,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Green, Shane A.","contributorId":362909,"corporation":false,"usgs":false,"family":"Green","given":"Shane","middleInitial":"A.","affiliations":[{"id":86564,"text":"USDA Natural Resources Conservation Service, Central National Technology Support Center, Ft. Worth, TX, USA","active":true,"usgs":false}],"preferred":false,"id":950795,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Harrison, Georgia R.","contributorId":362910,"corporation":false,"usgs":false,"family":"Harrison","given":"Georgia","middleInitial":"R.","affiliations":[{"id":86557,"text":"Jornada Experimental Range, USDA Agricultural Research Service, Las Cruces, NM, USA","active":true,"usgs":false}],"preferred":false,"id":950796,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jensen, Eric R.","contributorId":362911,"corporation":false,"usgs":false,"family":"Jensen","given":"Eric","middleInitial":"R.","affiliations":[{"id":82671,"text":"Desert Research Institute, Reno, NV, USA","active":true,"usgs":false}],"preferred":false,"id":950797,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kachergis, Emily J.","contributorId":362912,"corporation":false,"usgs":false,"family":"Kachergis","given":"Emily","middleInitial":"J.","affiliations":[{"id":86559,"text":"Bureau of Land Management, National Operations Center, Denver, CO, USA","active":true,"usgs":false}],"preferred":false,"id":950798,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Knight, Anna C. 0000-0002-9455-2855","orcid":"https://orcid.org/0000-0002-9455-2855","contributorId":255113,"corporation":false,"usgs":true,"family":"Knight","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":950799,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mattilio, Chloe M.","contributorId":362913,"corporation":false,"usgs":false,"family":"Mattilio","given":"Chloe","middleInitial":"M.","affiliations":[{"id":86565,"text":"University of Wyoming Sheridan Research and Extension Center, Institute for Managing Annual Grasses Invading Natural Ecosystems, Sheridan, WY, USA","active":true,"usgs":false}],"preferred":false,"id":950800,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Mealor, Brian A.","contributorId":362914,"corporation":false,"usgs":false,"family":"Mealor","given":"Brian","middleInitial":"A.","affiliations":[{"id":86565,"text":"University of Wyoming Sheridan Research and Extension Center, Institute for Managing Annual Grasses Invading Natural Ecosystems, Sheridan, WY, USA","active":true,"usgs":false}],"preferred":false,"id":950801,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Naugle, David E.","contributorId":362915,"corporation":false,"usgs":false,"family":"Naugle","given":"David","middleInitial":"E.","affiliations":[{"id":86566,"text":"W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT, USA","active":true,"usgs":false}],"preferred":false,"id":950802,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"O’Leary, Dylan","contributorId":362916,"corporation":false,"usgs":false,"family":"O’Leary","given":"Dylan","affiliations":[{"id":86567,"text":"Institute for Natural Resources, Oregon State University, Corvallis, OR, USA","active":true,"usgs":false}],"preferred":false,"id":950803,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Olsoy, Peter J.","contributorId":362917,"corporation":false,"usgs":false,"family":"Olsoy","given":"Peter","middleInitial":"J.","affiliations":[{"id":86561,"text":"Eastern Oregon Agricultural Research Center, USDA Agricultural Research Service, Burns, OR, USA","active":true,"usgs":false}],"preferred":false,"id":950804,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Peirce, Erika S.","contributorId":362918,"corporation":false,"usgs":false,"family":"Peirce","given":"Erika","middleInitial":"S.","affiliations":[{"id":86568,"text":"Rangeland Resources and Systems Research Unit, USDA Agricultural Research Service, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":950805,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Reinhardt, Jason R.","contributorId":362919,"corporation":false,"usgs":false,"family":"Reinhardt","given":"Jason","middleInitial":"R.","affiliations":[{"id":86569,"text":"USDA Forest Service, Rocky Mountain Research Station, Moscow, ID, USA","active":true,"usgs":false}],"preferred":false,"id":950806,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Shriver, Robert K.","contributorId":362920,"corporation":false,"usgs":false,"family":"Shriver","given":"Robert","middleInitial":"K.","affiliations":[{"id":52928,"text":"Department of Natural Resources and Environmental Science, University of Nevada, Reno, NV, USA","active":true,"usgs":false}],"preferred":false,"id":950807,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Smith, Joseph T.","contributorId":362921,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","middleInitial":"T.","affiliations":[{"id":86556,"text":"Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT, USA","active":true,"usgs":false}],"preferred":false,"id":950808,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Tack, Jason D.","contributorId":362922,"corporation":false,"usgs":false,"family":"Tack","given":"Jason","middleInitial":"D.","affiliations":[{"id":86570,"text":"US Fish and Wildlife Service, Habitat and Population Evaluation Team, Missoula, MT, USA","active":true,"usgs":false}],"preferred":false,"id":950809,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Tanner, Ashley M.","contributorId":362923,"corporation":false,"usgs":false,"family":"Tanner","given":"Ashley","middleInitial":"M.","affiliations":[{"id":86571,"text":"Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, Kingsville, TX, USA","active":true,"usgs":false}],"preferred":false,"id":950810,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Tanner, Evan P.","contributorId":362924,"corporation":false,"usgs":false,"family":"Tanner","given":"Evan","middleInitial":"P.","affiliations":[{"id":86571,"text":"Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, Kingsville, TX, USA","active":true,"usgs":false}],"preferred":false,"id":950811,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Twidwell, Dirac","contributorId":341491,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":950812,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Webb, Nicholas P.","contributorId":362925,"corporation":false,"usgs":false,"family":"Webb","given":"Nicholas","middleInitial":"P.","affiliations":[{"id":86557,"text":"Jornada Experimental Range, USDA Agricultural Research Service, Las Cruces, NM, USA","active":true,"usgs":false}],"preferred":false,"id":950813,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Morford, Scott L.","contributorId":362926,"corporation":false,"usgs":false,"family":"Morford","given":"Scott","middleInitial":"L.","affiliations":[{"id":86556,"text":"Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT, USA","active":true,"usgs":false}],"preferred":false,"id":950814,"contributorType":{"id":1,"text":"Authors"},"rank":29}]}} ,{"id":70272677,"text":"70272677 - 2025 - Carbon and nitrogen isotopes of different native fish tissues from the Santa Ana River, California","interactions":[],"lastModifiedDate":"2026-01-22T16:37:13.840737","indexId":"70272677","displayToPublicDate":"2025-11-17T09:31:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Carbon and nitrogen isotopes of different native fish tissues from the Santa Ana River, California","docAbstract":"Stable isotopes are commonly used to understand the role of fishes in aquatic food webs. However, variability in species- and tissue-specific isotopic values can affect the inference that is drawn from a stable isotope study. We evaluated differences in stable isotopes of carbon (δ13C) and nitrogen (δ15N) among three tissue types (white muscle, caudal fin rays, and eye lenses) for Santa Ana Sucker Pantosteus santaanae and Arroyo Chub Gila orcuttii to inform the design of a stable isotope study in the Santa Ana River, an urban river that is located in southern California.
We used multivariate analyses to test for differences in the stable isotopes of carbon (δ13C) and nitrogen (δ15N) among the three tissue types that were collected from Santa Ana Sucker and Arroyo Chub. We also summarized the variability in isotopic values that was recorded over time in fish eye lenses and interpreted this variability in reference to the spatial patterns in isotopic values that have been previously reported throughout the Santa Ana River.
We found that fin ray tissue and white muscle tissue were not significantly different for either isotope or fish species. Fish eye lenses were significantly higher in δ13C than muscle tissue, and eye lenses were significantly higher in δ15N than fin ray tissue for both fishes. We also found a greater range in δ13C and δ15N across eye lens layers for Santa Ana Sucker (δ13C = 2.01 ± 0.96‰, δ15N = 4.93 ± 4.18‰) than for Arroyo Chub (δ13C = 0.96 ± 0.65‰, δ15N = 4.63 ± 1.45‰).
Our results indicate that fin rays may be a viable nonlethal alternative to white muscle tissue for use in a stable isotope study of native fish of the Santa Ana River. Additionally, eye lenses could provide a chemical history of fishes within the river, but species-specific correction factors may be needed if stable isotope values for eye lenses are to be compared with more conventional tissue types (e.g., white muscle).
The use of Uncrewed Aerial Systems (UASs) for remote sensing applications has increased significantly in recent years due to their low cost, operational flexibility, and rapid advancements in sensor technologies. In many cases, UAS platforms are considered viable alternatives to conventional satellite and crewed airborne platforms, offering very high spatial, spectral, and temporal resolution data. However, the radiometric quality of UAS-acquired data has not received equivalent attention, particularly with respect to absolute calibration. In this study, we (1) evaluate the absolute radiometric performance of two commonly used UAS sensors: the Headwall Nano-Hyperspec hyperspectral sensor and the MicaSense RedEdge-MX Dual Camera multispectral system; (2) assess the effectiveness of the Empirical Line Method (ELM) in improving the radiometric accuracy of reflectance products generated by these sensors; and (3) investigate the influence of calibration target characteristics—including size, material type, reflectance intensity, and quantity—on the performance of ELM for UAS data. A field campaign was conducted jointly by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center and the USGS National Uncrewed Systems Office (NUSO) from 15 to 18 July 2023, at the USGS EROS Ground Validation Radiometer (GVR) site in Sioux Falls, South Dakota, USA, over a 160 m × 160 m vegetated area. Absolute calibration accuracy was evaluated by comparing UAS sensor-derived reflectance to in situ measurements of the site. Results indicate that the Headwall Nano-Hyperspec and MicaSense sensors underestimated reflectance by approximately 0.05 and 0.015 reflectance units, respectively. While the MicaSense sensor demonstrated better inherent radiometric accuracy, it exhibited saturation over bright targets due to limitations in its automatic gain and exposure settings. Application of the ELM using just two calibration targets reduced discrepancies to within 0.005 reflectance units. Reflectance products generated using various target materials—such as felt, melamine, or commercially available validation targets—showed comparable agreement with in situ measurements when used with the Nano-Hyperspec sensor. Furthermore, increasing the number of calibration targets beyond two did not yield measurable improvements in calibration accuracy. At a flight altitude of 200 ft above ground level (AGL), a target size of 0.6 m × 0.6 m or larger was sufficient to provide pure pixels for ELM implementation, whereas smaller targets (e.g., 0.3 m × 0.3 m) posed challenges in isolating pure pixels. Overall, the standard manufacturer-recommended calibration procedures were insufficient for achieving high radiometric accuracy with the tested sensors, which may restrict their applicability in scenarios requiring greater accuracy and precision. The use of the ELM significantly improved data quality, enhancing the reliability and applicability of UAS-based remote sensing in contexts requiring high precision and accuracy.
","language":"English","publisher":"MDPI","doi":"10.3390/rs17223738","usgsCitation":"Shrestha, M., Scholl, V.M., Sampath, A., Irwin, J., Kropuenske, T., Adams, J., Burgess, M.A., and Brady, L.R., 2025, Absolute radiometric calibration evaluation of Uncrewed Aerial System (UAS) Headwall and MicaSense sensors and improving data quality using the Empirical Line Method: Remote Sensing, v. 17, no. 22, 3738, 29 p., https://doi.org/10.3390/rs17223738.","productDescription":"3738, 29 p.","ipdsId":"IP-178436","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":497081,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs17223738","text":"Publisher Index Page"},{"id":496979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"22","noUsgsAuthors":false,"publicationDate":"2025-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Shrestha, Mahesh 0000-0002-8368-6399 mshrestha@contractor.usgs.gov","orcid":"https://orcid.org/0000-0002-8368-6399","contributorId":259303,"corporation":false,"usgs":false,"family":"Shrestha","given":"Mahesh","email":"mshrestha@contractor.usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":951160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scholl, Victoria Mary 0000-0002-2085-1449","orcid":"https://orcid.org/0000-0002-2085-1449","contributorId":295713,"corporation":false,"usgs":true,"family":"Scholl","given":"Victoria","email":"","middleInitial":"Mary","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sampath, Aparajithan 0000-0002-6922-4913","orcid":"https://orcid.org/0000-0002-6922-4913","contributorId":222486,"corporation":false,"usgs":false,"family":"Sampath","given":"Aparajithan","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":951162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Jeffrey 0000-0001-5828-0787 jrirwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5828-0787","contributorId":222485,"corporation":false,"usgs":true,"family":"Irwin","given":"Jeffrey","email":"jrirwin@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":951163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kropuenske, Travis 0000-0002-3269-4225","orcid":"https://orcid.org/0000-0002-3269-4225","contributorId":331816,"corporation":false,"usgs":false,"family":"Kropuenske","given":"Travis","email":"","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":951164,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Josip 0000-0001-8470-4141","orcid":"https://orcid.org/0000-0001-8470-4141","contributorId":217936,"corporation":false,"usgs":true,"family":"Adams","given":"Josip","email":"","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burgess, Matthew Alexander 0000-0003-3487-4972 mburgess@usgs.gov","orcid":"https://orcid.org/0000-0003-3487-4972","contributorId":225090,"corporation":false,"usgs":true,"family":"Burgess","given":"Matthew","email":"mburgess@usgs.gov","middleInitial":"Alexander","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951166,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brady, Lance R","contributorId":363145,"corporation":false,"usgs":false,"family":"Brady","given":"Lance","middleInitial":"R","affiliations":[{"id":86626,"text":"BLM (former USGS employee)","active":true,"usgs":false}],"preferred":false,"id":951167,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272104,"text":"ofr20251046 - 2025 - Modeling floods, sediment entrainment, and downstream debris flows from hypothetical breaches of the blockage at Spirit Lake, Washington","interactions":[],"lastModifiedDate":"2026-02-03T16:29:30.731045","indexId":"ofr20251046","displayToPublicDate":"2025-11-17T07:48:44","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1046","displayTitle":"Modeling Floods, Sediment Entrainment, and Downstream Debris Flows from Hypothetical Breaches of the Blockage at Spirit Lake, Washington","title":"Modeling floods, sediment entrainment, and downstream debris flows from hypothetical breaches of the blockage at Spirit Lake, Washington","docAbstract":"This report describes a modeling investigation by the U.S. Geological Survey (USGS) of hazards in the Toutle and Cowlitz River valleys posed by hypothetical outburst floods from Spirit Lake, Washington. A massive debris avalanche resulting from the collapse of Mount St. Helens’ north flank during the May 18, 1980, eruption blocked Spirit Lake’s natural outlet into the North Fork Toutle River. Lacking a natural outlet, subsequent runoff in the Spirit Lake watershed contributed to a rising lake level, elevating the potential for debris-dam breaching or catastrophic failure. The influence of highly erodible bed sediment in the upper North Fork Toutle River on downstream flood and debris-flow dynamics and extent is assessed in this study. Simulations of clear-water (non-erosive) outburst floods were used as a baseline and compared to erosive flows that entrain large volumes of material and transition into debris flows along their flow path, revealing the influence of entrainment on hazard extent. Clear-water floods were modeled with the shallow water equations. Erosive flows were modeled with a two-phase granular fluid model that accommodates mobilization and incorporation of sediment from the bed into the overlying flow and resultant changes in flow rheology across a wide range of solid concentrations, from dilute suspensions to dense-granular debris flows. Entrainment of bed material was found to substantially increase the total flow volume (total volume of transported water and sediment is approximately 150 percent of the water volume for non-erosive flows). Erosive flows are shown to exhibit higher flow-front speeds and faster downstream arrival times than non-erosive flows, consistent with volume amplification effects near the actively mobilizing flow front. However, the larger total volume of transported material does not necessarily lead to an enhancement of total volume throughput (cumulative discharge) or inundation extent (total affected area) for all locations along the entire flow path; while entrainment leads to the displacement of a larger volume of material overall, much of this dislocated material (water and sediment) deposits upstream from the distal extent of the flows. These results are consistent with energetic considerations of initial potential energy and granular shear resistance.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251046","usgsCitation":"George, D.L., and Cannon, C.M., 2025, Modeling floods, sediment entrainment, and downstream debris flows from hypothetical breaches of the blockage at Spirit Lake, Washington: U.S. Geological Survey Open-File Report 2025–1046, 37 p., https://doi.org/10.3133/ofr20251046.","productDescription":"Report: ix, 37 p.; Data Release","numberOfPages":"37","onlineOnly":"Y","ipdsId":"IP-154709","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496509,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P139AC3R","text":"USGS data release","description":"George, D.L., and Cannon, C.M., 2025, Simulated floods, sediment entrainment, and debris-flow inundation in the Toutle and Cowlitz River valleys resulting from hypothetical dam breaches of Spirit Lake, Washington: U.S. Geological Survey data release, https://doi.org/10.5066/P139AC3R.","linkHelpText":"Simulated floods, sediment entrainment, and debris-flow inundation in the Toutle and Cowlitz River valleys resulting from hypothetical dam breaches of Spirit Lake, Washington"},{"id":496505,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1046/ofr20251046.pdf","text":"Report","size":"26.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1046 PDF"},{"id":496504,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1046/coverthb.jpg"},{"id":497791,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118953.htm"},{"id":496508,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1046/images"},{"id":496507,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1046/ofr20251046.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1046 XML"},{"id":496506,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251046/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1046 HTML"}],"country":"United States","state":"Washington","otherGeospatial":"Spirit Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.133333,\n 46.2833\n ],\n [\n -122.2,\n 46.2833\n ],\n [\n -122.2,\n 46.25\n ],\n [\n -122.133333,\n 46.25\n ],\n [\n -122.133333,\n 46.2833\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"David A. Johnston Cascades Volcano Observatory
U.S. Geological Survey
1300 SE Cardinal Court
Building 10, Suite 100
Vancouver, WA 98683
Email: askCVO@usgs.gov
","tableOfContents":"This study presents a quantitative PCR (qPCR) assay for the detection of the endangered diamond darter Crystallaria cincotta from environmental DNA (eDNA) in water samples. The assay design is based on an alignment of mitochondrial cytochrome b DNA sequences from 58 individuals representing 25 percid species. Leveraging genetic differences, a species-specific qPCR assay was designed, incorporating alocked nucleic acid (LNA)-enriched probe and a secondary blocking probe to enhance specificity. The assay targets a 93-base pair fragment that includes a diagnostic single nucleotide polymorphism in the probe region; combined with multiple primer mismatches, this provides specificity for distinguishing C. cincotta from other sympatric percid species. Specificity was validated by testing genomic DNA from 16 percid species and synthetic templates, confirming no cross-reactivity. Performance metrics, including the standard curve, qPCR efficiency, limit of detection, and limit of quantification, are reported. The qPCR assay exhibited sufficient sensitivity to detect C. cincotta eDNA in environmental water samples collected from occupied riverine habitats. This study illustrates the effectiveness of LNA-enriched and blocking probes in developing species-specific qPCR assays for eDNA applications, demonstrating their utility in accurately distinguishing closely related species within diverse fish communities.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s12686-025-01407-4","usgsCitation":"Kinziger, A.P., Layne, C., and Welsh, S.A., 2025, Quantitative PCR detection of endangered diamond darter Crystallaria Cincotta in environmental DNA: Employing locked nucleic acids and blocking probe for specificity: Conservation Genetics Resources, v. 18, 2, 6 p., https://doi.org/10.1007/s12686-025-01407-4.","productDescription":"2, 6 p.","ipdsId":"IP-176804","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationDate":"2025-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kinziger, Andrew P.","contributorId":364132,"corporation":false,"usgs":false,"family":"Kinziger","given":"Andrew","middleInitial":"P.","affiliations":[{"id":86765,"text":"Aquatrace Genomics","active":true,"usgs":false}],"preferred":false,"id":952250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Layne, Cameron M.","contributorId":349281,"corporation":false,"usgs":false,"family":"Layne","given":"Cameron M.","affiliations":[{"id":40299,"text":"West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welsh, Stuart A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":217037,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952252,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272761,"text":"70272761 - 2025 - The Bird Banding Lab Is back online. Thank you for your patience","interactions":[],"lastModifiedDate":"2025-12-08T16:41:23.606136","indexId":"70272761","displayToPublicDate":"2025-11-15T10:39:03","publicationYear":"2025","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":23092,"text":"Note to All Banders","active":true,"publicationSubtype":{"id":30}},"title":"The Bird Banding Lab Is back online. Thank you for your patience","docAbstract":"Note to All Banders was a special extra communication with more urgent information relevant to banders. This Note to All Banders was sent to U. S. bird banders on November 14, 2025, following the return of Bird Banding Lab staff after the 43-day furlough. This note includes information regarding staff resuming work and appreciate banders patience as staff works on the backlog resulting from lapsed operations.","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Celis-Murillo, A., 2025, The Bird Banding Lab Is back online. Thank you for your patience: Note to All Banders, 2 p,.","productDescription":"2 p,","ipdsId":"IP-183753","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":497203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497172,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/note-banders-november-2025"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Celis-Murillo, Antonio 0000-0002-3371-6529","orcid":"https://orcid.org/0000-0002-3371-6529","contributorId":237851,"corporation":false,"usgs":true,"family":"Celis-Murillo","given":"Antonio","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":951626,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70272739,"text":"70272739 - 2025 - Understanding abundances and behaviors of shorebirds in coastal Louisiana","interactions":[],"lastModifiedDate":"2025-12-08T15:17:40.768553","indexId":"70272739","displayToPublicDate":"2025-11-15T09:08:38","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Understanding abundances and behaviors of shorebirds in coastal Louisiana","docAbstract":"Barrier islands provide resources and ecological services that are integral to economic and environmental interests, such as protection of coastal infrastructure and provision of wildlife habitat. Over time, barrier islands may become eroded and experience land loss, which can require management actions to restore island integrity. Barrier island restoration can create or modify habitats, which can impact the organisms depending on them. Our objective was to understand how the abundance and behaviors of a suite of shorebird species responded to restoration and habitat factors at two restored sites in coastal Louisiana (USA). For five focal species, we used abundance from the breeding and non-breeding seasons as well as breeding, foraging, and maintenance behaviors as response variables in boosted regression tree models to determine the importance of various geospatial and remotely sensed predictor variables related to restoration. Across sites and species, remotely sensed variables, particularly a brightness index, tended to be more important than restoration phases as predictors of bird abundance and behavior. Our results suggest that sediment composition, moisture, and vegetative cover are related to shorebird coastal habitat selection, although the direction and strength of relationships differ among these variables and our focal species. Tying these remote sensing metrics to restoration design and management actions can help land managers better understand factors that attract and benefit birds. Additional research can advance understanding in how remote sensing can be used to monitor the availability of functional habitats for shorebirds.
","language":"English","publisher":"BioRxiv","doi":"10.1101/2025.11.15.688530","usgsCitation":"Zenzal, T.J., Anderson, A.N., Enwright, N., Thurman, H.R., Cheney, W.C., LeBlanc, D., Dobbs, R.C., Geary, B., and Waddle, H., 2025, Understanding abundances and behaviors of shorebirds in coastal Louisiana: BioRxiv, https://doi.org/10.1101/2025.11.15.688530.","productDescription":"57 p.","ipdsId":"IP-160584","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497396,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2025.11.15.688530","text":"External Repository"},{"id":497186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zenzal, Theodore J. Jr. 0000-0001-7342-1373","orcid":"https://orcid.org/0000-0001-7342-1373","contributorId":224399,"corporation":false,"usgs":true,"family":"Zenzal","given":"Theodore","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":951478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Amanda Nicole 0000-0003-3930-3896","orcid":"https://orcid.org/0000-0003-3930-3896","contributorId":224400,"corporation":false,"usgs":true,"family":"Anderson","given":"Amanda","email":"","middleInitial":"Nicole","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":951479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":217771,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":951480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thurman, Hana R.","contributorId":363355,"corporation":false,"usgs":false,"family":"Thurman","given":"Hana","middleInitial":"R.","affiliations":[{"id":64427,"text":"Cherokee Nation System Solutions","active":true,"usgs":false}],"preferred":false,"id":951481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cheney, Wyatt C.","contributorId":363356,"corporation":false,"usgs":false,"family":"Cheney","given":"Wyatt","middleInitial":"C.","affiliations":[{"id":86667,"text":"Cheney Consulting","active":true,"usgs":false}],"preferred":false,"id":951482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LeBlanc, Delaina","contributorId":330122,"corporation":false,"usgs":false,"family":"LeBlanc","given":"Delaina","email":"","affiliations":[{"id":78819,"text":"Barataria-Terrebonne National Estuary","active":true,"usgs":false}],"preferred":false,"id":951483,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dobbs, Robert C.","contributorId":363357,"corporation":false,"usgs":false,"family":"Dobbs","given":"Robert","middleInitial":"C.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":951484,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Geary, Brock","contributorId":352310,"corporation":false,"usgs":false,"family":"Geary","given":"Brock","affiliations":[{"id":16979,"text":"University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":951485,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Waddle, J. Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":222187,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":951486,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70272577,"text":"70272577 - 2025 - Performance analysis of oil recovery and CO2 retention in a greenfield residual oil zone: CO2-EOR in Tall Cotton Field (Permian Basin, West Texas, USA)","interactions":[],"lastModifiedDate":"2025-11-24T16:11:13.736607","indexId":"70272577","displayToPublicDate":"2025-11-15T09:01:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22979,"text":"Carbon Capture Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Performance analysis of oil recovery and CO2 retention in a greenfield residual oil zone: CO2-EOR in Tall Cotton Field (Permian Basin, West Texas, USA)","docAbstract":"Residual oil zones (ROZs) can offer significant oil resources via enhanced oil recovery (EOR) as well as subsurface carbon dioxide (CO2) retention during injection. If injected CO2 is anthropogenic, the ROZs can offer a substantial geologic storage potential. The ROZs below the oil/water contact (OWC) of main pay zones (MPZ) in conventional reservoirs or brownfields, are more commonly developed for CO2 injection and oil production and reported in the literature. However, CO2-EOR in greenfield ROZs, reservoirs without a MPZ present, have rarely been developed for CO2-EOR operation. The Tall Cotton Field of West Texas, Permian Basin, which started production in 2015 (Phase 1) and expanded in 2017 (Phase 2) from the San Andres Limestone, is one of the first examples of greenfield ROZs developed for EOR by injecting CO2.
This paper analyses EOR and CO2 retention performance of Tall Cotton Field using allocated injection and production data from inverted 5-spot well patterns of Phase-1 and -2 developments. Production and injection data allocated to each of the 28 identified patterns (nine 20-acre patterns for Phase-1, three 20-acre and sixteen 10-acre patterns for Phase-2) were analyzed for historical and forecasted oil recovery using ratio-trend decline analysis, and for CO2 retention performance of the patterns. The allocated data were further used to calculate injected reservoir pore volume and void replacement ratios (VRR) for the analysis period. Quantitative results indicated that oil recovery factors of the 5-spot patterns varied between 4–10 %, and 5–30 % between the end of injection and the forecast periods, respectively. Storage of CO2, on the other hand, increased to a mean value of ∼7130 MMscf per pattern in Phase-1 and to a mean storage of 3700 MMscf per pattern in Phase-2 until the end of injection, followed by a decline after the end of injection and into the forecast period. Resulting CO2 utilization factors ∼6–50 Mscf/bbl were estimated at the end of injection. Overall, presented results suggested that developing greenfield ROZs for CO2-EOR can be as promising as brownfield ROZs and mature MPZs for EOR and underground storage of injected CO2. For Tall Cotton Field, results suggest that Phase-2 patterns generally outperformed Phase-1 for oil recovery factors, while Phase-1 performed better in CO2 retention performance metrics. This is the first study in the literature that reports a detailed CO2-EOR performance analysis of a greenfield ROZ in the Permian Basin, which can potentially allow for comparison with MPZs and brownfield ROZs.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ccst.2025.100544","usgsCitation":"Karacan, C.O., 2025, Performance analysis of oil recovery and CO2 retention in a greenfield residual oil zone: CO2-EOR in Tall Cotton Field (Permian Basin, West Texas, USA): Carbon Capture Science and Technology, v. 17, 100544, 14 p., https://doi.org/10.1016/j.ccst.2025.100544.","productDescription":"100544, 14 p.","ipdsId":"IP-179246","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":496930,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ccst.2025.100544","text":"Publisher Index Page"},{"id":496830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Gaines County","otherGeospatial":"Tall Cotton Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.04678856680947,\n 33.3881629621319\n ],\n [\n -103.04678856680947,\n 31.601101499990648\n ],\n [\n -101.42024271710294,\n 31.601101499990648\n ],\n [\n -101.42024271710294,\n 33.3881629621319\n ],\n [\n -103.04678856680947,\n 33.3881629621319\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950843,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70271966,"text":"ofr20251037 - 2025 - Reconnaissance of potential alternate water supply sources for the City of Gary, West Virginia","interactions":[],"lastModifiedDate":"2026-02-03T16:28:45.074551","indexId":"ofr20251037","displayToPublicDate":"2025-11-14T14:55:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1037","displayTitle":"Reconnaissance of Potential Alternate Water Supply Sources for the City of Gary, West Virginia","title":"Reconnaissance of potential alternate water supply sources for the City of Gary, West Virginia","docAbstract":"Seven potential sources of water, consisting of free-flowing discharge from abandoned coal mines at six locations and one abandoned flooded underground coal mine air shaft, were sampled for chemical analysis to assess the quality of the groundwater emanating from the seven mine sources. The six free-flowing mine discharge sources were also assessed for discharge by current-meter measurements on two separate occasions. The U.S. Geological Survey assessed these seven sources to provide information to the City of Gary, West Virginia (W. Va.), and the City of Gary’s consulting engineer with groundwater-quality and flow data to allow them to assess the seven sites as potential alternate sources of water for the City of Gary to augment its existing supply.
For the six sites where discharge could be measured, discharge ranged from a minimum of 0.082 cubic feet per second (ft3/s) to a maximum of 3.685 ft3/s. Of the six sites measured, only two, Harmon Branch at Thorpe, W. Va. (USGS site 372201081303501) and the abandoned public-supply water wells near Havaco, W. Va. (USGS site 372358081344601), had discharge in excess of 1.00 ft3/s. Discharge from the abandoned public supply wells was 3.685 ft3/s on September 20, 2023, and 2.888 ft3/s on October 16, 2023, and discharge from Harmon Branch at Thorpe, W. Va., was 1.049 ft3/s on September 22, 2023, and 1.038 ft3/s on October 17, 2023. Discharge in the abandoned underground mine air shaft (USGS site 372224081340901) could not be assessed, but the air shaft drains an abandoned mine that likely contains water stored in approximately 1.7 square miles (mi2) of abandoned underground coal mines in the Pocahontas No. 3 coal seam, and possibly an additional 0.9 mi2 of leakage from the overlying Pocahontas No. 4 coal seam. Discharge for the six sites measured for the study was measured during a period between September 20 and October 18, 2023, and corresponded to the 12th to the 15th percentile of flow-duration statistics for the Tug Fork downstream of Elkhorn Creek at Welch, W. Va. streamgage (USGS site 03212750).
Water-quality data for the seven sites sampled overall were acceptable with respect to drinking water standards. Of the 203 constituents analyzed, only a few failed to meet applicable U.S. Environmental Protection Agency (EPA) drinking water standards. Iron exceeded the 300 micrograms per liter (μg/L) secondary maximum contaminant level (SMCL) at only 1 of the 7 sites (14.3 percent) sampled. Iron concentrations ranged from a minimum of less than (<) 5.00 μg/L to a maximum of 724 μg/L with a median concentration of 7.62 μg/L. Manganese exceeded the 50.0 μg/L SMCL at 2 of the 7 sites (28.6 percent) sampled. Manganese concentrations ranged from a minimum of 1.93 μg/L to a maximum of 271 μg/L with a median concentration of 4.03 μg/L. No sites sampled exceeded the arsenic maximum contaminant level (MCL) of 10 μg/L. Arsenic concentrations ranged from a minimum of <0.100 μg/L to a maximum of 2.35 μg/L with a median arsenic concentration of 0.200 μg/L. None of the seven sites sampled for selenium for this study exceeded the EPA MCL of 50.0 μg/L. Selenium concentrations ranged from a minimum of <0.050 μg/L to a maximum of 5.26 μg/L with a median concentration of 3.21 μg/L.
All seven sites were sampled for volatile organic compounds (VOCs), semivolatile organic compounds (SVOCs), and polychlorinated biphenyls (PCBs), but most had concentrations below the detection limit. Of the 10 PCB compounds analyzed for the seven sites sampled, none contained detectable concentrations of PCBs or Aroclor compounds. Of the 44 SVOCs analyzed at each of the seven sites sampled, only 1 SVOC, acenaphthene, was detected, at a concentration of 0.02 μg/L. Of the 96 VOCs analyzed, from each of the seven sites sampled, only two were found at detectable concentrations. Trichloromethane was detected only at 1 of the 7 (14.3 percent) sites sampled at a concentration of 0.027 μg/L, and benzene was detected at the same site and 3 additional sites (4 of the 7 sites or 57.1 percent of the sites sampled) at concentrations of 0.028, 0.029, 0.021, and 0.035 μg/L, but none exceeded the EPA MCL for benzene of 5.00 μg/L.
Total coliform bacteria are ubiquitous in the environment, and their presence only suggests the potential for contamination by near-surface processes. Escherichia coli (E. coli) bacteria are derived from either human or animal fecal material and can be an indicator of potential contamination by pathogenic bacteria or viruses. Total coliform bacteria were detected at all 7 sites sampled at concentrations ranging from 17.5 to greater than (>) 2,420 most probable number per 100 mL (MPN/100 mL) of sample, with a median total coliform concentration of 1,553 MPN/100 mL. Escherichia coli bacteria were detected at 4 of the 7 sites sampled at concentrations ranging from <1 to 11.9 MPN/100 mL, with a median E. coli concentration of 5.1 MPN/100 mL.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251037","collaboration":"Prepared in cooperation with the City of Gary, West Virginia","usgsCitation":"Kozar, M.D., and Austin, S.H., 2025, Reconnaissance of potential alternate water supply sources for the City of Gary, West Virginia: U.S. Geological Survey Open-File Report 2025–1037, 27 p., https://doi.org/10.3133/ofr20251037.","productDescription":"Report: viii, 27 p.; Appendix","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-176784","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":496467,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1037/ofr20251037.pdf","text":"Report","size":"5.71 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1037 PDF"},{"id":496466,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1037/coverthb.jpg"},{"id":497789,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118952.htm"},{"id":496471,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2025/1037/ofr20251037_app2.csv","text":"Appendix 2","size":"222 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- Water-Quality Data Collected During the Study"},{"id":496470,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1037/ofr20251037.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1037 XML"},{"id":496469,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1037/images/"},{"id":496468,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251037/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1037 HTML"}],"country":"United States","state":"West Virginia","city":"Gary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.616667,\n 37.433333\n ],\n [\n -81.616667,\n 37.25\n ],\n [\n -81.45,\n 37.25\n ],\n [\n -81.45,\n 37.433333\n ],\n [\n -81.616667,\n 37.433333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228
The DeepFaune New England model classifies wildlife species in trail camera images, identifying 24 taxa from northeastern North America with high (97%) accuracy. The model was adapted from the DeepFaune model for identifying European wildlife, demonstrating the practicality of transfer learning across continents. The majority of training data is openly licensed, and the model itself is open source, enabling easy integration into camera trapping workflows. The open source software is available at (https://code.usgs.gov/vtcfwru/deepfaune-new-england), and has been further integrated into the PyTorch-Wildlife framework.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72174","usgsCitation":"Clarfeld, L.A., Gieder, K.D., Fuller, A.K., Miao, Z., Sirén, A.P., Webb, S.M., Morelli, T.L., Kilborn, J.R., Callahan, C.B., Prout, L.S., Cliché, R., Patry, R.K., Bernier, C., Staats, S., and Donovan, T.M., 2025, DeepFaune New England: A species classification model for trail camera images in northeastern North America: Ecology and Evolution, v. 15, no. 11, e72174, 10 p., https://doi.org/10.1002/ece3.72174.","productDescription":"e72174, 10 p.","ipdsId":"IP-178678","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72174","text":"Publisher Index Page"},{"id":497496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"New England","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.75929702181658,\n 45.341361567717314\n ],\n [\n -73.75929702181658,\n 40.33015889138204\n ],\n [\n -69.77188509243499,\n 41.17761525624266\n ],\n [\n -66.96355818373794,\n 44.675768772749265\n ],\n [\n -68.05599977916026,\n 47.5296422169192\n ],\n [\n -71.46664259797956,\n 45.58514947595555\n ],\n [\n -73.75929702181658,\n 45.341361567717314\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Clarfeld, Laurence A.","contributorId":364074,"corporation":false,"usgs":false,"family":"Clarfeld","given":"Laurence","middleInitial":"A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":952206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gieder, Katherine D.","contributorId":364075,"corporation":false,"usgs":false,"family":"Gieder","given":"Katherine","middleInitial":"D.","affiliations":[{"id":39587,"text":"Vermont Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":952207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miao, Zhongqi","contributorId":315511,"corporation":false,"usgs":false,"family":"Miao","given":"Zhongqi","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":952209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sirén, Alexej P.K.","contributorId":364080,"corporation":false,"usgs":false,"family":"Sirén","given":"Alexej","middleInitial":"P.K.","affiliations":[{"id":86755,"text":"Institute for the Study of Earth","active":true,"usgs":false}],"preferred":false,"id":952210,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Webb, Shevenell M.","contributorId":364081,"corporation":false,"usgs":false,"family":"Webb","given":"Shevenell","middleInitial":"M.","affiliations":[{"id":39965,"text":"Maine Department of Inland Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":952211,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":952212,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kilborn, Jillian R.","contributorId":236780,"corporation":false,"usgs":false,"family":"Kilborn","given":"Jillian","email":"","middleInitial":"R.","affiliations":[{"id":47548,"text":"Universidad de La Frontera, Temuco, Chile","active":true,"usgs":false}],"preferred":false,"id":952214,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Callahan, Catherine 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K.","contributorId":364084,"corporation":false,"usgs":false,"family":"Patry","given":"Riley","middleInitial":"K.","affiliations":[{"id":83367,"text":"Dartmouth College Woodlands","active":true,"usgs":false}],"preferred":false,"id":952218,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bernier, Christopher","contributorId":359993,"corporation":false,"usgs":false,"family":"Bernier","given":"Christopher","affiliations":[{"id":39587,"text":"Vermont Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":952219,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Staats, Susan","contributorId":359995,"corporation":false,"usgs":false,"family":"Staats","given":"Susan","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":952220,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Donovan, Therese M. 0000-0001-8124-9251 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ringed seal whelping”","docAbstract":"The spring is a critical period when polar bears (Ursus maritimus Phipps, 1774) are thought to have peak access to seals and acquire the majority of their annual energy requirements during a period of hyperphagia. Pagano et al. (Pagano A.M., Atkinson S.N., and Archer L.C. 2025. Arctic Science.11:1-14. doi:10.1139/as-2024-0051) examined the intra-seasonal changes in body mass of 31 polar bears on the spring sea ice and found polar bears exhibited a feast or famine lifestyle. A lack of a relationship between changes in body mass and recapture date suggested that many bears had not entered their primary period of hyperphagia. Pilfold extended our discussion to conclude that our data show polar bear hyperphagia begins after the period of ringed seal (Pusa hispida Schreber, 1775) whelping, and discusses this in relation to previous work on the timing of polar bear seal kills. Here, we reassess whether our data provide information on the timing of polar bear hyperphagia. We find no relationships in our data to conclude when polar bear hyperphagia begins. Instead, our data highlight the conflicting pressures individuals face between the spring breeding season, when time spent foraging is often reduced to engage in mating behavior, and the spring hyperphagia period, when the bulk of annual energy requirements are met.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/as-2025-0057","usgsCitation":"Pagano, A.M., Atkinson, S.N., and Archer, L.C., 2025, Reply to the discussion by Pilfold “Polar bear mass change confirms hyperphagia follows ringed seal whelping”: Arctic Science, v. 11, p. 1-3, https://doi.org/10.1139/as-2025-0057.","productDescription":"3 p.","startPage":"1","endPage":"3","ipdsId":"IP-181354","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":496749,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/as-2025-0057","text":"Publisher Index Page"},{"id":496644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":950461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Stephen N.","contributorId":362432,"corporation":false,"usgs":false,"family":"Atkinson","given":"Stephen","middleInitial":"N.","affiliations":[{"id":86523,"text":"26104 Melrose Road, Cooks Creek, MB R5M 0B9, Canada","active":true,"usgs":false}],"preferred":false,"id":950462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archer, Louise C.","contributorId":362433,"corporation":false,"usgs":false,"family":"Archer","given":"Louise","middleInitial":"C.","affiliations":[{"id":67687,"text":"University of Toronto Scarborough","active":true,"usgs":false}],"preferred":false,"id":950463,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272102,"text":"fs20253045 - 2025 - Using monitoring and partnerships to provide management-relevant information about Chesapeake Bay rivers","interactions":[],"lastModifiedDate":"2026-02-03T16:27:44.999419","indexId":"fs20253045","displayToPublicDate":"2025-11-14T09:52:32","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":"2025-3045","displayTitle":"Using Monitoring and Partnerships to Provide Management-Relevant Information about Chesapeake Bay Rivers","title":"Using monitoring and partnerships to provide management-relevant information about Chesapeake Bay rivers","docAbstract":"The lands and waters of the Chesapeake Bay watershed provide more than $100 billion in economic benefits- an amount that is expected to increase by achieving the region’s clean-water goals. Achieving those goals requires accurate and timely information about the health of the watershed’s rivers and streams. The Chesapeake Bay nontidal monitoring network (NTN), a partnership of local, state, and federal agencies, as well as other partners, was established in 2004 to provide this information. The U.S. Geological Survey analyzes data collected from NTN stations to provide monitoring-based information about the amount of nitrogen, phosphorus, and sediment entering the Chesapeake Bay through its nontidal rivers. Thus, data collected from the NTN inform watershed management by providing decision makers with information on which to base their restoration and conservation actions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253045","issn":"ISSN 2327-6916","usgsCitation":"Webber, J.S., Gootman, K.S., Hyer, K.E., Tango, P.J., and Moyer, D.L., 2025, Using monitoring and partnerships to provide management-relevant information about Chesapeake Bay rivers: U.S. Geological Survey Fact Sheet 2025–3045, 2 p., https://doi.org/10.3133/fs20253045.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-177441","costCenters":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"links":[{"id":496483,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3045/fs20253045.XML","description":"FS 2025-3045 XML"},{"id":496484,"rank":5,"type":{"id":34,"text":"Image 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U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228
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.
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 (https://www.usgs.gov/3dep/lidarspec) 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.
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\"}}]}","contact":"Director, National Geospatial Program
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 511
Reston, VA 20192
Clade 2.3.4.4b Eurasian-origin H5N1 entered North America in late 2021 and spread across the continent. While studies have characterized the antibody response mounted by dabbling ducks following exposure, little data are available for diving ducks. This study sought to identify influenza A virus (IAV) infection and antibodies in Lesser and Greater Scaup captured in Maryland, Illinois, and Rhode Island. In Maryland, IAV seroprevalence increased from the 2021/2022 to 2022/2023 sampling season, with IAV antibody prevalence increasing for juvenile (38% to 80%) and adult (82% to 90%) Lesser Scaup. While adult Lesser Scaup sampled in Illinois in 2021/2022 had IAV antibody prevalence comparable to those sampled in Maryland (76% and 82%, respectively), they had higher antibody prevalence to both H5 (48% and 18%) and N1 (68% and 35%), potentially due to being sampled in March versus December and January. Our data suggest that Lesser Scaup had limited antibodies to highly pathogenic H5 IAV prior to the introduction of clade 2.3.4.4b H5N1 to North America, but relevant antibodies were widely observed in the months and year following. Our more limited data suggest similar trends may have occurred in Greater Scaup as well.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjm-2025-0176","usgsCitation":"Sullivan, J.D., Poulson, R., Olsen, G.H., Berlin, A., Cao, Z., Carter, D., Homyack, J., Kilburn, J., McWilliams, S.R., Osborn, J., Mezebish Quinn, T., Schley, H., Weegman, M.M., Williams, C., Stallknecht, D., and Prosser, D.J., 2025, Rapid increase in antibodies to influenza A virus H5 and N1 in Lesser Scaup (Aythya affinis) following the introduction of 2.3.4.4B H5N1 into North America: Canadian Journal of Microbiology, v. 71, p. 1-6, https://doi.org/10.1139/cjm-2025-0176.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-181219","costCenters":[{"id":50464,"text":"Eastern Ecological Science 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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; Bombus affinis). All species present in netting surveys were detected within eDNA surveys, apart from two rare species in the socially parasitic subgenus Psithyrus (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 Bombus 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.
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hydrological network evolves over time, controlling the efficiency of weathering of elements from geological materials, and ultimately the input of sediment and dissolved constituents to river systems. Exceedances to the Navajo Nation surface water quality standards for trace metals have been reported in the San Juan River watershed. Because metals are transported adsorbed to fine-grain sediment, the identification of areas with elevated sources of trace metals and/or areas with increased erosion and sediment transport potential is an important first step in protecting water quality. Physical factors such as elevation, slope, relief and stream order were used to quantify morphometric parameters that effect the contribution of trace metals into the stream network. By correlating these parameters with water quality data that were collected from tributaries along the San Juan River, we identified statistically significant regressions between morphometric parameters and total Al, Pb, U, Fe and Mn in surface water. Positive correlations with trace metals include tributary drainage basin perimeter, pour point elevation and total number of streams, while negative correlations include stream length ratio, ruggedness number and longest basin axis. Stream reach measurements within geological units that contain known trace metal constituents reveal that Gallegos Canyon and Desert Creek are the most susceptible to sediment mobilization and transport, while other tributary drainage basins, such as Desert, Recapture and Salt creeks, are associated with naturally elevated concentrations of Al, As, Pb and U.
","language":"English","publisher":"Geological Society of London","doi":"10.1144/geochem2024-037","usgsCitation":"Miltenberger, K.E., Shephard, Z., Mixon, R., Blake, J., Chavarria, S., and Yager, D., 2025, Morphometric and geological characterization with statistical correlations for 33 tributary drainage basins of the San Juan River watershed in the Four Corners region, USA: Geochemistry: Exploration, Environment, Analysis, v. 25, no. 4, geochem2024-037, 13 p., https://doi.org/10.1144/geochem2024-037.","productDescription":"geochem2024-037, 13 p.","ipdsId":"IP-165506","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":496901,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","otherGeospatial":"San Juan River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111,\n 38\n ],\n [\n -111,\n 35.5\n ],\n [\n -106,\n 35.5\n ],\n [\n -106,\n 38\n ],\n [\n -111,\n 38\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Miltenberger, K. 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(Barrens Heelsplitter). Recent surveys indicate that the species persists in at least 5 streams: Collins River, Pocahontas Branch, Witty Creek, and Pepper Hollow Branch in the Caney Fork River drainage and Little Duck River in the Duck River drainage, with evidence of recruitment in 2 of these streams. These findings suggest a restricted distribution and highlight the need for taxonomic assessment through genetic analysis. If elevated to species status, the Barrens Heelsplitter would represent a narrow endemic that may require conservation attention, underscoring the ecological significance of Tennessee's Barrens Plateau Region.
","language":"English","publisher":"BioOne","doi":"10.1656/058.024.0sp1302","usgsCitation":"Womble, K.I., Rosenberger, A.E., and Henderson, A.R., 2025, A hidden heelsplitter: Distribution of an undescribed endemic freshwater mussel in the Barrens Plateau: Southeastern Naturalist, v. 24, no. sp13, p. 17-26, https://doi.org/10.1656/058.024.0sp1302.","productDescription":"10 p.","startPage":"17","endPage":"26","ipdsId":"IP-181065","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":498843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Barrens Plateau region","volume":"24","issue":"sp13","noUsgsAuthors":false,"publicationDate":"2025-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Womble, Kristin I.","contributorId":365425,"corporation":false,"usgs":false,"family":"Womble","given":"Kristin","middleInitial":"I.","affiliations":[{"id":56209,"text":"Tennessee Tech University","active":true,"usgs":false}],"preferred":false,"id":954285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":954286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Andrew R.","contributorId":365426,"corporation":false,"usgs":false,"family":"Henderson","given":"Andrew","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954287,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272251,"text":"70272251 - 2025 - Satellite tracking supports hypotheses of breeding allochrony and allopatry in the Endangered Pterodroma hasitata (Black-capped Petrel, Diablotin)","interactions":[],"lastModifiedDate":"2025-11-21T17:30:22.295666","indexId":"70272251","displayToPublicDate":"2025-11-11T08:32:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5532,"text":"Journal of Caribbean Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Satellite tracking supports hypotheses of breeding allochrony and allopatry in the Endangered Pterodroma hasitata (Black-capped Petrel, Diablotin)","title":"Satellite tracking supports hypotheses of breeding allochrony and allopatry in the Endangered Pterodroma hasitata (Black-capped Petrel, Diablotin)","docAbstract":"Pterodroma hasitata, the Black-capped Petrel (locally known as Diablotin), is the only extant Pterodroma petrel nesting in the Caribbean. The species is listed as globally Endangered by the IUCN and was recently listed as endangered under the U.S. Endangered Species Act. Pterodroma hasitata show a phenotypic gradient, ranging from a darker, smaller form to a paler, heavier form, that is reflected in a strong genetic structure. This phylogenetic divergence suggests the existence of at least two distinct breeding populations. We report on pre-breeding movements of two male Pterodroma hasitata, one of each form, tracked by satellite from non-breeding areas in Gulf Stream waters of the western North Atlantic Ocean to breeding locations in Hispaniola in late 2019. Based on a combination of tracking locations, location error classes, battery voltage, and satellite communication schedules, we infer that the light-form petrel visited a nest in central Dominican Republic during 2 to 8 October and 9 to 15 October, and the dark form visited a nest in southeastern Haiti during 9 to 22 November and 29 November to 3 December. This information supports earlier suggestions that Pterodroma hasitata forms breed in allochrony and in allopatry, both of which may be a driver of speciation.
","language":"English","publisher":"BirdsCaribbean","doi":"10.55431/jco.2025.38.59-66","usgsCitation":"Satgé, Y.G., Patteson, J.B., Keitt, B.S., Gaskin, C.P., and Jodice, P.G., 2025, Satellite tracking supports hypotheses of breeding allochrony and allopatry in the Endangered Pterodroma hasitata (Black-capped Petrel, Diablotin): Journal of Caribbean Ornithology, v. 38, p. 59-66, https://doi.org/10.55431/jco.2025.38.59-66.","productDescription":"8 p.","startPage":"59","endPage":"66","ipdsId":"IP-172425","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496755,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.55431/jco.2025.38.59-66","text":"Publisher Index Page"},{"id":496685,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Hatteras","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.73141232128476,\n 35.43896398098414\n ],\n [\n -75.73141232128476,\n 34.94563549138148\n ],\n [\n -75.34437447029681,\n 34.94563549138148\n ],\n [\n -75.34437447029681,\n 35.43896398098414\n ],\n [\n -75.73141232128476,\n 35.43896398098414\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","noUsgsAuthors":false,"publicationDate":"2025-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Satgé, Yvan G.","contributorId":362516,"corporation":false,"usgs":false,"family":"Satgé","given":"Yvan","middleInitial":"G.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":950577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patteson, J. Brian","contributorId":362517,"corporation":false,"usgs":false,"family":"Patteson","given":"J.","middleInitial":"Brian","affiliations":[{"id":83919,"text":"Seabirding Pelagic Trips","active":true,"usgs":false}],"preferred":false,"id":950578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keitt, Bradford S.","contributorId":362520,"corporation":false,"usgs":false,"family":"Keitt","given":"Bradford","middleInitial":"S.","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":950579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaskin, Chris P.","contributorId":362522,"corporation":false,"usgs":false,"family":"Gaskin","given":"Chris","middleInitial":"P.","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":950580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950581,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275665,"text":"70275665 - 2025 - Near-fault amplification and ground motion variability during the 2019 Ridgecrest, California sequence","interactions":[],"lastModifiedDate":"2026-05-07T14:54:30.919842","indexId":"70275665","displayToPublicDate":"2025-11-10T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Near-fault amplification and ground motion variability during the 2019 Ridgecrest, California sequence","docAbstract":"We estimate ground-motion variability near the 2019 M 7.1 Ridgecrest earthquake sequence. Accurate seismic hazard estimation requires understanding ground-motion spatial correlations, yet many studies lack the dense station coverage needed to resolve small-scale variability. The 2019 M 7.1 Ridgecrest earthquake sequence presents a unique opportunity to examine ground motions and their spatial correlations at a range of interstation distances. The permanent seismic network was augmented with hundreds of temporary stations including several fault-crossing nodal arrays. We compute the event (δEi) and within-event (δWij) residuals from the observed peak ground velocity and peak ground acceleration data to isolate potential sources of ground-motion variability. We then compare δWij between station pairs that record an event to understand the semivariance of the ground motion versus interstation distance. By fitting an exponential model to the semivariances, we determine a correlation range of 25 km for the Ridgecrest region. Although the exponential model fits the broad-scale increase of semivariance with interstation distance, we also observe smaller-scale trends. We find that ground motions are less correlated for station pairs that are near or across faults that ruptured during the 2019 Ridgecrest sequence. We also find large, positive median δWij with relative values 2–3 times larger than nearby stations for individual stations’ near-fault traces. Near-fault amplification and greater ground-motion variability can delineate fault zones and may locally increase the seismic hazard.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250160","usgsCitation":"Cochran, E.S., Parker, G.A., Minson, S.E., and Baltay, A.S., 2025, Near-fault amplification and ground motion variability during the 2019 Ridgecrest, California sequence: Bulletin of the Seismological Society of America, v. 116, no. 1, p. 467-481, https://doi.org/10.1785/0120250160.","productDescription":"15 p.","startPage":"467","endPage":"481","ipdsId":"IP-180406","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":504214,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250160","text":"Publisher Index Page"},{"id":504088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.7873578487739,\n 35.704504855376484\n ],\n [\n -117.7873578487739,\n 35.534707339818766\n ],\n [\n -117.5218365461991,\n 35.534707339818766\n ],\n [\n -117.5218365461991,\n 35.704504855376484\n ],\n [\n -117.7873578487739,\n 35.704504855376484\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":961344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":961345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":961346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baltay, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":961347,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272757,"text":"70272757 - 2025 - Megafaunal community structure on ferromanganese and phosphorite hardgrounds in the Southern California Borderland","interactions":[],"lastModifiedDate":"2025-12-08T16:27:21.252344","indexId":"70272757","displayToPublicDate":"2025-11-07T10:22:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5536,"text":"Deep Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Megafaunal community structure on ferromanganese and phosphorite hardgrounds in the Southern California Borderland","docAbstract":"The Southern California Borderland (SCB) is a topographically complex region on the active continental margin that hosts varied hardground habitats, including ferromanganese (FeMn) crusts and phosphorites, marine minerals being considered for resource extraction. The SCB is influenced by seasonal upwelling and terrestrial inputs, and has a well-defined oxygen-minimum zone (OMZ). We analyzed megafaunal community composition, density, and diversity across 41 ROV video transects at 10 SCB hard substrate sites spanning depth (378–2765 m), temperature (1.79–7.96 °C), and oxygen (3.91–105.67 μM) gradients, with varying rock types (FeMn crusts, phosphorites, other rocks). We counted 32,426 individuals representing 146 unique taxa over a total area of 21,935 m2. Echinodermata contributed 48 % of the total abundance; Cnidaria 24 %; Porifera 13 %; Annelida 6 %; Arthropoda 6 %; Chordata 2 %; Mollusca, Foraminifera, and Hemichordata <1 %. Megafauna communities showed clear heterogeneity, with density, diversity, and community composition varying among transects within sites and across sites. Rock type recorded no influence on megafaunal density, but habitats that included FeMn crusts had higher diversity and distinct taxonomic composition. Location, depth, and oxygen were the most important variables explaining variance among megafaunal communities, with distinct communities formed at deeper depths and within the OMZ. This study provides baseline information about the megafauna inhabiting SCB hardgrounds, particularly those associated with minerals considered for their resource potential. It extends existing documentation of such communities to greater depths, reveals increased representation of sponges and corals below 1000 m, and highlights the variability within and among deep-sea megafaunal communities, offering context for informed policy decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2025.105560","usgsCitation":"Vlach, D., Pereira, O.S., Nguyen, F., Bradley, A., Mizell, K., and Levin, L.A., 2025, Megafaunal community structure on ferromanganese and phosphorite hardgrounds in the Southern California Borderland: Deep Sea Research Part II: Topical Studies in Oceanography, v. 224, 105560, 13 p., https://doi.org/10.1016/j.dsr2.2025.105560.","productDescription":"105560, 13 p.","ipdsId":"IP-166392","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":497404,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2025.105560","text":"Publisher Index Page"},{"id":497200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Southern California borderland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117,\n 34\n ],\n [\n -121,\n 34\n ],\n [\n -121,\n 31.75\n ],\n [\n -117,\n 31.75\n ],\n [\n -117,\n 34\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"224","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vlach, Devin","contributorId":340133,"corporation":false,"usgs":false,"family":"Vlach","given":"Devin","email":"","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":951611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pereira, Olivia S.","contributorId":363396,"corporation":false,"usgs":false,"family":"Pereira","given":"Olivia","middleInitial":"S.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":951612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nguyen, Francis","contributorId":363397,"corporation":false,"usgs":false,"family":"Nguyen","given":"Francis","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":951613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Angelica","contributorId":340134,"corporation":false,"usgs":false,"family":"Bradley","given":"Angelica","email":"","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":951614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951615,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Levin, Lisa A.","contributorId":363398,"corporation":false,"usgs":false,"family":"Levin","given":"Lisa","middleInitial":"A.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":951616,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272127,"text":"70272127 - 2025 - Lessons from 40 years of communicating volcanic risk during crises","interactions":[],"lastModifiedDate":"2025-11-17T16:12:49.377365","indexId":"70272127","displayToPublicDate":"2025-11-07T08:58:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Lessons from 40 years of communicating volcanic risk during crises","docAbstract":"Since the 1985 Nevado del Ruiz eruption that killed over 23,000 people in Armero, Colombia, risk communication has become central to volcanic crisis management. Despite the development of effective tools and programmes for volcanic risk communication, considerable challenges remain.
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