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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, Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":222187,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":951486,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273069,"text":"70273069 - 2025 - DeepFaune New England: A species classification model for trail camera images in northeastern North America","interactions":[],"lastModifiedDate":"2025-12-12T18:32:36.615236","indexId":"70273069","displayToPublicDate":"2025-11-14T11:21:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"DeepFaune New England: A species classification model for trail camera images in northeastern North America","docAbstract":"

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 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Introduction 

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

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-11-14","noUsgsAuthors":false,"publicationDate":"2025-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Walters, Dan","contributorId":291381,"corporation":false,"usgs":true,"family":"Walters","given":"Dan","email":"","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":949733,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70272074,"text":"70272074 - 2025 - Land change, fire, and climate weaken carbon sink in the conterminous U.S.","interactions":[],"lastModifiedDate":"2025-11-14T16:23:59.95018","indexId":"70272074","displayToPublicDate":"2025-11-12T09:17:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Land change, fire, and climate weaken carbon sink in the conterminous U.S.","docAbstract":"The land carbon sink of the conterminous United States was evaluated using a bottom-up\nmodeling framework and 30-meter land change data from 1985 to 2020. This cross-scale,\ncross-landscape, and cross-system approach tracked fractional land cover changes and applied regional model calibration. Results show average terrestrial and aquatic carbon sinks of +110 ± 37 and +19 ± 0.5 teragrams of carbon per year, respectively. The terrestrial carbon sink, showing no clear trend, peaked in the 1990s, with more years as a carbon source since 2000, contradicting recent national and global studies. Land change had the largest impact (−70 ± 5.5 teragrams of carbon per year), exceeding impacts of climate (−33 ± 48 teragrams of carbon per year), wildfire (−7.7 ± 2.4 teragrams of carbon per year), and erosion transport (−1.9 ± 0.13 teragrams of carbon per year). The positive CO2 fertilization effect (+69 ± 12 teragrams of carbon per year) was insufficient to maintain the carbon sink strength. Our framework\nreveals key paths of carbon loss, with implications for carbon budget and energy policies in the United States and beyond.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adx7823","usgsCitation":"Liu, J., Sleeter, B., Zhu, Z., Cochrane, M.A., Zhou, Q., Wang, B., Domke, G., Selmants, P., Windham-Myers, L., Zhu, Q., Wilson, T., Byrd, K., Ward, E., Sohl, T., Hawbaker, T., Zhang, Z., Soulard, C., Wickland, K., and Striegl, R.G., 2025, Land change, fire, and climate weaken carbon sink in the conterminous U.S.: Science Advances, v. 11, no. 46, eadx7823, 16 p., https://doi.org/10.1126/sciadv.adx7823.","productDescription":"eadx7823, 16 p.","ipdsId":"IP-156977","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":496712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adx7823","text":"Publisher Index 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Seattle","active":true,"usgs":true}],"preferred":false,"id":949999,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70273219,"text":"70273219 - 2025 - Potential for continental scientific drilling to inform fault mechanics and earthquake science","interactions":[],"lastModifiedDate":"2025-12-22T15:43:55.261881","indexId":"70273219","displayToPublicDate":"2025-11-07T08:29:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17454,"text":"Seismica","active":true,"publicationSubtype":{"id":10}},"title":"Potential for continental scientific drilling to inform fault mechanics and earthquake science","docAbstract":"

Our understanding of fault mechanics and earthquake processes remains limited, largely due to minimal direct observations near active faults at seismogenic depths. This lack of data restricts our ability to accurately assess and mitigate both natural and human-induced seismic hazards. However, recent advancements in drilling capabilities and downhole sensing technologies offer an opportunity: the ability to observe the physical conditions within a volume near active fault zones. In this contribution, we highlight how scientific drilling can provide access to the near-fault environment, enabling measurements of the stress, temperature, fluid pressure, and rock properties at depths where ruptures initiate, propagate, and arrest. These observations are essential to refine models of earthquake nucleation and dynamic rupture, bridging gaps between laboratory experiments, numerical simulations, and surface observations. These insights can advance fundamental understanding in earthquake science but also support the development of more effective seismic hazard assessments and risk mitigation strategies.

","language":"English","publisher":"McGill University","doi":"10.26443/seismica.v4i2.1700","usgsCitation":"Cochran, E.S., Zakharova, N., Carpenter, B., Kolawole, F., Hayman, N.W., Sone, H., Schmitt, D.R., Eichhubl, P., Ellsworth, W., Guglielmi, Y., Hickman, S.H., and Tobin, H.J., 2025, Potential for continental scientific drilling to inform fault mechanics and earthquake science: Seismica, v. 4, no. 2, 1700, 8 p., https://doi.org/10.26443/seismica.v4i2.1700.","productDescription":"1700, 8 p.","ipdsId":"IP-178194","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":498046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v4i2.1700","text":"Publisher Index Page"},{"id":497870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-11-07","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":952767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zakharova, Natalia","contributorId":364486,"corporation":false,"usgs":false,"family":"Zakharova","given":"Natalia","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":952768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carpenter, Brett","contributorId":193685,"corporation":false,"usgs":false,"family":"Carpenter","given":"Brett","affiliations":[],"preferred":false,"id":952769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolawole, Folarin","contributorId":364489,"corporation":false,"usgs":false,"family":"Kolawole","given":"Folarin","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":952770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayman, Nicholas W.","contributorId":364491,"corporation":false,"usgs":false,"family":"Hayman","given":"Nicholas","middleInitial":"W.","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":952771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sone, Hiroki","contributorId":364494,"corporation":false,"usgs":false,"family":"Sone","given":"Hiroki","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":952772,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmitt, Douglas R.","contributorId":364497,"corporation":false,"usgs":false,"family":"Schmitt","given":"Douglas","middleInitial":"R.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":952773,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eichhubl, Peter","contributorId":364500,"corporation":false,"usgs":false,"family":"Eichhubl","given":"Peter","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":952774,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ellsworth, William","contributorId":364503,"corporation":false,"usgs":false,"family":"Ellsworth","given":"William","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":952775,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Guglielmi, Yves","contributorId":364506,"corporation":false,"usgs":false,"family":"Guglielmi","given":"Yves","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":952776,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":952777,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tobin, Harold J.","contributorId":350743,"corporation":false,"usgs":false,"family":"Tobin","given":"Harold","middleInitial":"J.","affiliations":[{"id":83821,"text":"University of Washington (UW), Seattle","active":true,"usgs":false}],"preferred":false,"id":952778,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70272686,"text":"70272686 - 2025 - Occurrence and surface availability of Siskiyou Mountains Salamanders (Plethodon stormi) and Scott Bar Salamanders (P. asupak) in northern California","interactions":[],"lastModifiedDate":"2026-01-07T17:34:57.208708","indexId":"70272686","displayToPublicDate":"2025-11-06T09:41:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Occurrence and surface availability of Siskiyou Mountains Salamanders (Plethodon stormi) and Scott Bar Salamanders (P. asupak) in northern California","title":"Occurrence and surface availability of Siskiyou Mountains Salamanders (Plethodon stormi) and Scott Bar Salamanders (P. asupak) in northern California","docAbstract":"

Estimating the distributions of cryptic species is essential for conservation, yet our understanding is hampered by animal behavior and imperfect detection. We developed and implemented a multiscale occupancy survey protocol to estimate the probability of occurrence, probability of being active on the surface, and detection probability of two range-restricted terrestrial salamanders, Scott Bar Salamanders (Plethodon asupak) and Siskiyou Mountains Salamanders (P. stormi), in interior northern California, USA. We established survey sites near locations of historical occurrence of these salamanders and surveyed each site on one to six visits in late fall 2023 and spring 2024. We compared models with different environmental variables for predicting salamander occurrence and surface activity. Much model selection uncertainty in the effects of covariates existed, but the model with most support indicated that Plethodon salamanders in interior northern California were more likely to occur at sites near recent historical occurrences that had longer growing seasons after controlling for elevation and aspect. Plethodon stormi or P. asupak surface activity was higher at night than during the day and was highest when substrates were cool and moist. Our survey protocol was successful for quantifying the effects of site and visit characteristics on P. stormi or P. asupak occurrence and availability; minor modifications will likely improve its utility for providing unbiased inference about salamander occurrence and surface activity.

","language":"English","publisher":"Allen Press","doi":"10.1655/Herpetologica-D-25-00011","usgsCitation":"Halstead, B., Macias, D., Moss, C., Kleeman, P.M., and Rose, J.P., 2025, Occurrence and surface availability of Siskiyou Mountains Salamanders (Plethodon stormi) and Scott Bar Salamanders (P. asupak) in northern California: Herpetologica, v. 81, no. 4, p. 336-345, https://doi.org/10.1655/Herpetologica-D-25-00011.","productDescription":"10 p.","startPage":"336","endPage":"345","ipdsId":"IP-178431","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497695,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1655/herpetologica-d-25-00011","text":"Publisher Index Page"},{"id":497055,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Siskiyou County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.5,\n 41.9167\n ],\n [\n -123.5,\n 41.5833\n ],\n [\n -122.75,\n 41.5833\n ],\n [\n -122.75,\n 41.9167\n ],\n [\n -123.5,\n 41.9167\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"81","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":215986,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian","email":"bhalstead@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Macias, Daniel Antonio 0000-0002-4891-3656","orcid":"https://orcid.org/0000-0002-4891-3656","contributorId":349883,"corporation":false,"usgs":true,"family":"Macias","given":"Daniel Antonio","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moss, Casey D.","contributorId":359464,"corporation":false,"usgs":false,"family":"Moss","given":"Casey D.","affiliations":[],"preferred":false,"id":951333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951334,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951335,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272218,"text":"70272218 - 2025 - Spatial distribution and relative biomass of bigheaded carps in Lake Balaton, Hungary estimated from an environmental DNA survey","interactions":[],"lastModifiedDate":"2025-11-19T15:47:46.625525","indexId":"70272218","displayToPublicDate":"2025-11-06T09:37:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Spatial distribution and relative biomass of bigheaded carps in Lake Balaton, Hungary estimated from an environmental DNA survey","docAbstract":"

Silver carp (Hypophthalmichthys nobilis), bighead carp (H. molitrix) and their hybrids, collectively known as bigheaded carps, have been introduced to Lake Balaton, Hungary. The current stock sizes are difficult to assess. We investigated environmental DNA (eDNA) techniques targeted for bigheaded carps, assessed the spatial distribution of eDNA in Lake Balaton, compared eDNA concentrations to environmental variables to assess potential habitat selection based on those variables, and provided an estimate of biomass of bigheaded carps relative to eDNA shedding rates per unit biomass observed in controlled experiments. Water samples were collected from 70 sites in an array across the lake. Biomass estimation was calculated using mean eDNA concentration obtained by quantitative PCR of the samples and previously determined eDNA shedding rates of bigheaded carps under controlled conditions in a laboratory. Concentration of eDNA was highly variable between sites, resulting in wide confidence intervals. Basins did not significantly differ in eDNA concentration, and there were no strong relationships between environmental variables and eDNA concentration, indications that bigheaded carps use the entire lake. The model provided an estimate of 4,830 metric tonnes (2,750–8,030 tonnes) of bigheaded carps in Lake Balaton, or 81.0 kg/ha. The eDNA method produced a value close to previous estimates by traditional means of total biomass of bigheaded carps in the lake, and like traditional methods, there was a broad confidence interval on the estimate of the mean. The results of the present study support the utility of aquatic eDNA analysis, and the need for further comparisons with fisheries methods and supporting data from laboratory studies.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0335950","usgsCitation":"Boross, N., Laszlo, A., Chapman, D.C., Boros, G., Vitál, Z., Tóth, V., Thompson, N., Klymus, K.E., and Richter, C.A., 2025, Spatial distribution and relative biomass of bigheaded carps in Lake Balaton, Hungary estimated from an environmental DNA survey: PLoS ONE, v. 20, no. 11, 0335950, 15 p., https://doi.org/10.1371/journal.pone.0335950.","productDescription":"0335950, 15 p.","ipdsId":"IP-178103","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":496746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0335950","text":"Publisher Index Page"},{"id":496639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Hungary","otherGeospatial":"Lake Balaton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 18.21350370081612,\n 47.10491295878799\n ],\n [\n 17.172489215123477,\n 47.10491295878799\n ],\n [\n 17.172489215123477,\n 46.62325119241811\n ],\n [\n 18.21350370081612,\n 46.62325119241811\n ],\n [\n 18.21350370081612,\n 47.10491295878799\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Boross, Nora","contributorId":362434,"corporation":false,"usgs":false,"family":"Boross","given":"Nora","affiliations":[{"id":86526,"text":"HUN-REN Balaton Limnological Research Institute, Hungary","active":true,"usgs":false}],"preferred":false,"id":950467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laszlo, Ardo","contributorId":362435,"corporation":false,"usgs":false,"family":"Laszlo","given":"Ardo","affiliations":[{"id":86527,"text":"Hungarian University of Agricultural and Life Science, Hungary","active":true,"usgs":false}],"preferred":false,"id":950468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Duane C.","contributorId":362436,"corporation":false,"usgs":false,"family":"Chapman","given":"Duane","middleInitial":"C.","affiliations":[{"id":86529,"text":"(retired) USGS Columbia Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":950469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boros, Gergely","contributorId":295274,"corporation":false,"usgs":false,"family":"Boros","given":"Gergely","email":"","affiliations":[{"id":63813,"text":"Centre for Ecological Research, Balaton Limnological Institute","active":true,"usgs":false}],"preferred":false,"id":950470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vitál, Zoltán","contributorId":352562,"corporation":false,"usgs":false,"family":"Vitál","given":"Zoltán","affiliations":[{"id":84260,"text":"Hungarian University of Agriculture and Life Sciences","active":true,"usgs":false}],"preferred":false,"id":950471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tóth, Viktor","contributorId":362437,"corporation":false,"usgs":false,"family":"Tóth","given":"Viktor","affiliations":[{"id":86526,"text":"HUN-REN Balaton Limnological Research Institute, Hungary","active":true,"usgs":false}],"preferred":false,"id":950472,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thompson, Nathan 0000-0002-1372-6340 nthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-1372-6340","contributorId":196133,"corporation":false,"usgs":true,"family":"Thompson","given":"Nathan","email":"nthompson@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":950473,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":950474,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Richter, Catherine A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":138994,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":950475,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274065,"text":"70274065 - 2025 - Imaging hyporheic exchange by integrating deep learning and physics-informed inversion of time-lapse self-potential data","interactions":[],"lastModifiedDate":"2026-02-23T16:27:39.210077","indexId":"70274065","displayToPublicDate":"2025-11-05T10:24:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Imaging hyporheic exchange by integrating deep learning and physics-informed inversion of time-lapse self-potential data","docAbstract":"

Self-potential (SP) monitoring is increasingly used for subsurface flow characterization due to its sensitivity to hydrogeological and geochemical processes. However, SP inversion remains challenging due to its ill-posed nature, sparse data coverage, and strong transient noise. This study proposes a hybrid framework to image hyporheic exchange using a time-lapse SP data set monitored from a streamflow site in Oak Ridge, Tennessee. Dipole moment tomography grids generated from the physics-informed numerical inversion is first used to train a Vision Transformer (ViT) model that maps surface SP sequences to 2D source distributions. While the numerical method is more responsive to transient signals, the ViT model better captures persistent spatial structures. Their complementary outputs are jointly analyzed in the spatiotemporal domain to isolate dynamic hyporheic exchange zones and distinguish transient from steady state subsurface flow features. This approach integrates physical inversion and deep learning to enhance interpretability, generalization, and temporal awareness in SP analysis.

","language":"English","publisher":"Americal Geophysical Union","doi":"10.1029/2025GL118772","usgsCitation":"Yin, H., Ikard, S., Rucker, D.F., Brooks, S.C., Dai, Z., Carroll, K.C., 2025, Imaging hyporheic exchange by integrating deep learning and physics-informed inversion of time-lapse self-potential data: Geophysical Research Letters, v. 52, no. 21, e2025GL118772, 11 p., https://doi.org/10.1029/2025GL118772.","productDescription":"e2025GL118772, 11 p.","ipdsId":"IP-180027","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":500584,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl118772","text":"Publisher Index Page"},{"id":500417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"21","noUsgsAuthors":false,"publicationDate":"2025-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Yin, Huichao 0000-0001-6172-5580","orcid":"https://orcid.org/0000-0001-6172-5580","contributorId":366938,"corporation":false,"usgs":false,"family":"Yin","given":"Huichao","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":956406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ikard, Scott 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":201775,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rucker, Dale F. 0000-0002-8930-2747","orcid":"https://orcid.org/0000-0002-8930-2747","contributorId":294463,"corporation":false,"usgs":false,"family":"Rucker","given":"Dale","email":"","middleInitial":"F.","affiliations":[{"id":63573,"text":"hydroGEOPHYSICS, Inc.","active":true,"usgs":false}],"preferred":false,"id":956408,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooks, Scott C. 0000-0002-8437-9788","orcid":"https://orcid.org/0000-0002-8437-9788","contributorId":294464,"corporation":false,"usgs":false,"family":"Brooks","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":956409,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dai, Zhenxue 0000-0002-0805-7621","orcid":"https://orcid.org/0000-0002-0805-7621","contributorId":366941,"corporation":false,"usgs":false,"family":"Dai","given":"Zhenxue","affiliations":[{"id":87510,"text":"Jilin University","active":true,"usgs":false}],"preferred":false,"id":956410,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carroll, Kenneth C. 0000-0003-2097-9589","orcid":"https://orcid.org/0000-0003-2097-9589","contributorId":247827,"corporation":false,"usgs":false,"family":"Carroll","given":"Kenneth","email":"","middleInitial":"C.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":956411,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273444,"text":"70273444 - 2025 - Assessment of coastal and fluvial morphodynamic changes using Structure-for-Motion: A case study of the Sfȃntu Gheorghe Mouth (Danube Delta, Romania)","interactions":[],"lastModifiedDate":"2026-01-14T15:28:25.24061","indexId":"70273444","displayToPublicDate":"2025-11-05T09:22:13","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Assessment of coastal and fluvial morphodynamic changes using Structure-for-Motion: A case study of the Sfȃntu Gheorghe Mouth (Danube Delta, Romania)","docAbstract":"

The ability to accurately map erosion, flooding, and habitat loss in coastal environments is crucial for formulating national strategies aimed at preventing and mitigating the impacts of natural disasters. A fundamental component of this process is the implementation of coastal morphodynamics monitoring through Structure-from-Motion (SfM) techniques, utilizing high-resolution 2D/3D data obtained from aerial photogrammetry. To assess morphodynamic changes over a three-year period (2022 – 2024), several SfM-based photogrammetric studies were conducted, each year, in the Romanian sector of the Danube-Black Sea coastal zone, specifically at the mouth of one of the Danube River distributaries (Sf Gheorghe branch) into the Black Sea, and along the left bank, near Sf Gheorghe locality, located within the Danube Delta Biosphere Reserve (DDBR). The essential equipment for aerial photogrammetry comprises Unmanned Aerial Vehicles (UAVs) and Global Navigation Satellite Systems (GNSS). In this study, the UAV used was a DJI Mavic 3T (Enterprise/Thermal) drone, complemented by two Trimble R12i and R4 GNSS systems, as well as approximately 10 Ground Control Points (GCPs). Data acquisition and processing were carried out using specialized photogrammetric software (Agisoft Metashape) along with various GIS tools (e.g., Blue Marble Geographics Global Mapper and ESRI ArcMap). The photogrammetric products generated for the study, as detailed in this paper, include Digital Elevation Models (DEMs), Digital Terrain Models (DTMs), orthomosaics (orthophotos), and others. At Sfântu Gheorghe beach, a comparison between 2023 and 2024 photogrammetric surveys revealed that the left bank of the Sf. Gheorghe Arm, at the river mouth into the Black Sea, suffered from a twist (erosion) of up to 64 metres. Additionally, on the selected perimetre (total area of 31,910 square meters ) from the beach and dune zone of Sf. Gheorghe, an area of up to 16,202 square meters was eroded between 2023 and 2024. This contrasts with the period between 2022 and 2023, during which deposition predominated. Erosion at the Danube mouths and the adjacent Black Sea coastline is driven by a complex interaction of natural and anthropogenic factors. Natural processes, including subsidence, sea-level rise, and episodic extreme storm events, contribute significantly to coastal dynamics. Meanwhile, human-induced factors, such as upstream hydrotechnical works that limits sediment transport, cutting of navigation canals, as well as the exacerbating effects of climate change, further accelerate erosion. The recent Structure-from-Motion (SfM) surveys provide essential quantitative data, enabling a detailed analysis of both short-term and long-term morphodynamic changes influenced by seasonal variations and extreme hydrometeorological events in this highly dynamic coastal system.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of Inżynieria Mineralna WMCEES 2025","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Polish Mineral Engineering Society","doi":"10.29227/IM-2025-02-03-15","usgsCitation":"Dragos, A.G., Iordache, G., Dutu, F., Palaseanu-Lovejoy, M., Pitea, F., Stanciu, I., and Stanica, A., 2025, Assessment of coastal and fluvial morphodynamic changes using Structure-for-Motion: A case study of the Sfȃntu Gheorghe Mouth (Danube Delta, Romania), in Proceedings of Inżynieria Mineralna WMCEES 2025, v. 3, no. 2, 9 p., https://doi.org/10.29227/IM-2025-02-03-15.","productDescription":"9 p.","ipdsId":"IP-183130","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":498701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.29227/im-2025-02-03-15","text":"Publisher Index Page"},{"id":498610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Romania","otherGeospatial":"Sfȃntu Gheorghe Mouth (Danube Delta)","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 29.533907040308605,\n 44.932418076703044\n ],\n [\n 29.533907040308605,\n 44.86262917846662\n ],\n [\n 29.630386502266845,\n 44.86262917846662\n ],\n [\n 29.630386502266845,\n 44.932418076703044\n ],\n [\n 29.533907040308605,\n 44.932418076703044\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Dragos, Andrei Gabriel 0000-0003-3268-8615","orcid":"https://orcid.org/0000-0003-3268-8615","contributorId":365121,"corporation":false,"usgs":false,"family":"Dragos","given":"Andrei","middleInitial":"Gabriel","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iordache, Gabriel 0000-0002-8335-5995","orcid":"https://orcid.org/0000-0002-8335-5995","contributorId":365122,"corporation":false,"usgs":false,"family":"Iordache","given":"Gabriel","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dutu, Florin 0000-0002-5393-3125","orcid":"https://orcid.org/0000-0002-5393-3125","contributorId":365123,"corporation":false,"usgs":false,"family":"Dutu","given":"Florin","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palaseanu-Lovejoy, Monica 0000-0002-3786-5118","orcid":"https://orcid.org/0000-0002-3786-5118","contributorId":305576,"corporation":false,"usgs":true,"family":"Palaseanu-Lovejoy","given":"Monica","affiliations":[],"preferred":true,"id":953728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pitea, Florin 0009-0007-0206-5886","orcid":"https://orcid.org/0009-0007-0206-5886","contributorId":365124,"corporation":false,"usgs":false,"family":"Pitea","given":"Florin","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stanciu, Irina 0000-0003-1842-6619","orcid":"https://orcid.org/0000-0003-1842-6619","contributorId":365125,"corporation":false,"usgs":false,"family":"Stanciu","given":"Irina","affiliations":[{"id":87048,"text":"National Research and Development Institute for Marine Geology and Geoecology, GeoEcoMar, Romania","active":true,"usgs":false}],"preferred":false,"id":953730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stanica, Adrian 0000-0001-5983-6302","orcid":"https://orcid.org/0000-0001-5983-6302","contributorId":351791,"corporation":false,"usgs":false,"family":"Stanica","given":"Adrian","affiliations":[{"id":84044,"text":"GeoEcoMar National Research institute, Romania","active":true,"usgs":false}],"preferred":false,"id":953731,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274508,"text":"70274508 - 2025 - Spring weather influences breeding propensity, the most important productivity component for Arctic-nesting lesser snow geese","interactions":[],"lastModifiedDate":"2026-03-27T15:40:01.804182","indexId":"70274508","displayToPublicDate":"2025-11-05T08:31:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Spring weather influences breeding propensity, the most important productivity component for Arctic-nesting lesser snow geese","docAbstract":"

Animal reproduction is composed of several stages, which collectively determine overall productivity. Yet, it is not fully understood how different productivity components contribute to population change. To bridge this gap, we leveraged integrated population modelling and transient life-table response experiments, together with population-level data on lesser snow geese (Anser caerulescens caerulescens) breeding on Wrangel Island, Russia, from 1970 to 2022. We assessed contributions of breeding propensity, clutch size, nest success, egg survival, hatching success and pre-fledging survival to population change, and tested hypotheses about the effects of environmental drivers and density dependence on different components. Breeding propensity contributed the most to variation in population growth, followed by nest success. These two components were negatively affected by the timing of snow melt. We found no overall deleterious effects of climate change on productivity. Density dependence had a positive effect on multiple productivity components, likely through predator swamping. Our results show the importance of breeding propensity to the population dynamics of this long-lived animal, which is notable because this productivity component is often overlooked. Our results also demonstrate that the effects of environmental conditions and density dependence can differ among animal populations of different sizes, locations and life histories.

","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2025.1386","usgsCitation":"Piironen, A., Dooley, J.L., Baraynyuk, V.V., Knetter, J.M., Spragens, K.A., Schindler, A.R., Patil, V.P., Reed, E.T., Behney, A.C., Ross, M.V., Sanders, T.A., Petrie, M.J., and Weegman, M.D., 2025, Spring weather influences breeding propensity, the most important productivity component for Arctic-nesting lesser snow geese: Proceedings of the Royal Society B, v. 292, no. 2058, 20251386, https://doi.org/10.1098/rspb.2025.1386.","productDescription":"20251386","ipdsId":"IP-177764","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":501714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","otherGeospatial":"Wrangel Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": 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0000-0003-0227-8252","orcid":"https://orcid.org/0000-0003-0227-8252","contributorId":368891,"corporation":false,"usgs":false,"family":"Reed","given":"Eric","middleInitial":"T.","affiliations":[{"id":87674,"text":"Environment and Climate Change Canada, Canadian Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":958045,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Behney, Adam C.","contributorId":171686,"corporation":false,"usgs":false,"family":"Behney","given":"Adam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":958046,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ross, Megan V.","contributorId":199265,"corporation":false,"usgs":false,"family":"Ross","given":"Megan","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":958047,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sanders, Todd A.","contributorId":368892,"corporation":false,"usgs":false,"family":"Sanders","given":"Todd","middleInitial":"A.","affiliations":[{"id":85545,"text":"U.S. Fish and Wildlife Service, Division of Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":958048,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Petrie, Mark J.","contributorId":214396,"corporation":false,"usgs":false,"family":"Petrie","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":958049,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Weegman, Mitch D. 0000-0003-1633-0920","orcid":"https://orcid.org/0000-0003-1633-0920","contributorId":368893,"corporation":false,"usgs":false,"family":"Weegman","given":"Mitch","middleInitial":"D.","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":958050,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70272789,"text":"70272789 - 2025 - Predicting secretive species distribution using Bayesian networks with and without expert elicitation: A case study incorporating double-blind peer review","interactions":[],"lastModifiedDate":"2025-12-09T15:25:42.910526","indexId":"70272789","displayToPublicDate":"2025-11-04T08:15:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9977,"text":"Ecological Solutions and Evidence","active":true,"publicationSubtype":{"id":10}},"title":"Predicting secretive species distribution using Bayesian networks with and without expert elicitation: A case study incorporating double-blind peer review","docAbstract":"

1. Species that are secretive, imperilled and consequently data deficient often re-quire conservation action despite limited available information. In such scenarios, Bayesian networks (BNs) offer a versatile and intuitive approach for utilizing various information sources, including literature reviews, community science data sets and expert knowledge. Although it has been suggested that peer review be incorporated during expert elicitations in a BN modelling context, little information exists about how to implement this approach or about how models constructed using this approach perform.

2. We documented a double-blind peer review approach for expert elicitation in a BN modelling context. Further, we compared BN models that were generated by experts who engaged in this peer-review process (PRBNs) to those that were generated by a single expert whose knowledge was supplemented only by a literature review (LRBNs). These comparisons were based on the ability to predict the occurrence (via community science and satellite telemetry data) of a secretive and data deficient species, the King Rail (Rallus elegans), throughout a large region.

3. We found that the LRBNs tended to predict King Rail occurrence as well as, or better than, the PRBNs. The LRBNs that we evaluated provided more consistent predictions across our study area. However, preliminary data suggest that the PRBNs may better distinguish between locations of focal and non-focal species within smaller regions.

4. Practical implication. Our framework for utilizing double-blind peer review could serve as a useful guide and have practical implications for incorporating expert knowledge in BN models. Further, our model comparison case study suggests that, in some contexts, a single expert who uses a literature review to inform the creation of BN models may be able to accurately predict the occurrence of a secretive and data-deficient focal species. Taken together, this information could help ecologists decide when a double-blind peer review approach to expert elicitation is necessary and how to implement this approach in a BN modelling context.

","language":"English","publisher":"British Ecological Society","doi":"10.1002/2688-8319.70140","usgsCitation":"Brewer, D.E., Webb, E.B., Mini, A.E., and McKnight, S.K., 2025, Predicting secretive species distribution using Bayesian networks with and without expert elicitation: A case study incorporating double-blind peer review: Ecological Solutions and Evidence, v. 6, no. 4, e70140, 13 p., https://doi.org/10.1002/2688-8319.70140.","productDescription":"e70140, 13 p.","ipdsId":"IP-173106","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":497410,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2688-8319.70140","text":"Publisher Index Page"},{"id":497279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.1068107990959,\n 36.53488280878683\n ],\n [\n -91.61423177860152,\n 34.64999645355131\n ],\n [\n -91.32812729950412,\n 33.779728217016626\n ],\n [\n -92.23976277110854,\n 31.169028802843997\n ],\n [\n -90.1068107990959,\n 29.669842940257624\n ],\n [\n -89.51855955615441,\n 29.669842940257624\n ],\n [\n -91.11618518098236,\n 31.200696392028455\n ],\n [\n -90.47470081531254,\n 32.88931314596513\n ],\n [\n -89.51855955615441,\n 36.53488280878683\n ],\n [\n -90.1068107990959,\n 36.53488280878683\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Dustin E.","contributorId":363560,"corporation":false,"usgs":false,"family":"Brewer","given":"Dustin","middleInitial":"E.","affiliations":[{"id":16806,"text":"Missouri State University","active":true,"usgs":false}],"preferred":false,"id":951788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":951789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mini, Anne E.","contributorId":363561,"corporation":false,"usgs":false,"family":"Mini","given":"Anne","middleInitial":"E.","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":951790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKnight, S. Keith","contributorId":363562,"corporation":false,"usgs":false,"family":"McKnight","given":"S.","middleInitial":"Keith","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951791,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272091,"text":"70272091 - 2025 - Changes in phosphorus concentration and flux from 2011 to 2023 in major U.S. tributaries to the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2026-01-05T16:49:14.640082","indexId":"70272091","displayToPublicDate":"2025-11-02T10:46:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Changes in phosphorus concentration and flux from 2011 to 2023 in major U.S. tributaries to the Laurentian Great Lakes","docAbstract":"

Reducing phosphorus (P) flux to the Great Lakes is critical for improving water quality and controlling eutrophication. We used 13 water years (2011–2023) of U.S. Geological Survey data from 24 major U.S. tributaries (representing 47% of the U.S. Great Lakes watershed area) to evaluate temporal changes in orthophosphate (PO4-P) and total P (TP) using Weighted Regressions on Time, Discharge, and Season. We assessed actual and flow-normalized P concentrations and fluxes. Between 2011 and 2023, P concentrations and fluxes declined in many tributaries, although the extent and significance of these declines varied. Decreases were more common and statistically likely for TP than PO4-P, and several high-loading watersheds had modest or non-significant changes. Flow-normalized PO4-P:TP flux ratios increased in over half the tributaries, suggesting that even where P reductions occurred, reductions in the more bioavailable P fraction were proportionally smaller. Actual P fluxes were strongly correlated with streamflow, and year-to-year variability in actual fluxes was, on average, three times greater than variability related to trends in flow-normalized fluxes. This underscores the role of hydrology in modulating P export and highlights how changing precipitation and runoff patterns can obscure or counteract management progress. Spring accounted for the largest share of annual P flux in most tributaries, though many showed declining spring contributions. Our basin-wide analysis reveals that while management efforts may have yielded progress in reducing TP in many watersheds, additional strategies would be needed to address PO4-P reductions and account for changing hydrology, especially in high-contributing watersheds.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102669","usgsCitation":"Kincaid, D., Diebel, M.W., Bertke, E., Bonville, D.B., Koltun, G.F., Robertson, D., and Loken, L.C., 2025, Changes in phosphorus concentration and flux from 2011 to 2023 in major U.S. tributaries to the Laurentian Great Lakes: Journal of Great Lakes Research, v. 51, no. 6, 102669, 13 p., https://doi.org/10.1016/j.jglr.2025.102669.","productDescription":"102669, 13 p.","ipdsId":"IP-178201","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":496717,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102669","text":"Publisher Index Page"},{"id":496502,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.60633559922388,\n 48.148551186404575\n ],\n [\n -88.2067643812503,\n 40.60216025077551\n ],\n [\n -83.23151190577836,\n 39.05980019478196\n ],\n [\n -80.80498690897306,\n 40.234426092092406\n ],\n [\n -80.13264358698466,\n 41.74623034694679\n ],\n [\n -75.68002709570973,\n 41.69292244621492\n ],\n [\n -75.72465463652733,\n 42.23052760530962\n ],\n [\n -74.88658728745591,\n 44.40491984342111\n ],\n [\n -79.06485288677936,\n 43.305925528873495\n ],\n [\n -78.99574717113413,\n 42.844586701072004\n ],\n [\n -81.75752883413966,\n 41.63784527164743\n ],\n [\n -82.97923399054226,\n 42.07649353088971\n ],\n [\n -82.35201917635362,\n 43.23951025772632\n ],\n [\n -82.4731703330764,\n 45.44772983144884\n ],\n [\n -86.77797304973124,\n 47.58223992997367\n ],\n [\n -92.60633559922388,\n 48.148551186404575\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kincaid, Dustin William 0000-0003-1640-685X","orcid":"https://orcid.org/0000-0003-1640-685X","contributorId":353877,"corporation":false,"usgs":true,"family":"Kincaid","given":"Dustin William","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diebel, Matthew W. 0000-0002-5164-598X mdiebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5164-598X","contributorId":33762,"corporation":false,"usgs":true,"family":"Diebel","given":"Matthew","email":"mdiebel@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bertke, Erin E. 0000-0003-3172-280X","orcid":"https://orcid.org/0000-0003-3172-280X","contributorId":330809,"corporation":false,"usgs":true,"family":"Bertke","given":"Erin E.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonville, Donald B. 0000-0003-4480-9381","orcid":"https://orcid.org/0000-0003-4480-9381","contributorId":248849,"corporation":false,"usgs":true,"family":"Bonville","given":"Donald","email":"","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koltun, G. F. 0000-0003-0255-2960 gfkoltun@usgs.gov","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":140048,"corporation":false,"usgs":true,"family":"Koltun","given":"G.","email":"gfkoltun@usgs.gov","middleInitial":"F.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950040,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950041,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950042,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273911,"text":"70273911 - 2025 - Analysis of trends in terrestrial vegetation at Mediterranean Coast Network Parks: Channel Islands National Park","interactions":[],"lastModifiedDate":"2026-02-17T17:24:13.996226","indexId":"70273911","displayToPublicDate":"2025-11-01T11:15:09","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR-2025/358","displayTitle":"Analysis of Trends in Terrestrial Vegetation at Mediterranean Coast Network Parks: Channel Islands National Park","title":"Analysis of trends in terrestrial vegetation at Mediterranean Coast Network Parks: Channel Islands National Park","docAbstract":"

The five islands comprising Channel Islands National Park (CHIS) experience natural gradients in temperature and moisture driven by ocean currents. Additionally, the islands were used as ranchlands and military land before becoming a national park, resulting in widespread erosion and vegetation change. As a result, CHIS spans gradients in climate as well as ranching duration and time since animal removal. Vegetation monitoring was initiated in 1984 on three islands (Anacapa, Santa Barbara, San Miguel), in 1990 on Santa Rosa Island, and in 1998 on Santa Cruz Island, with the goal of documenting the long-term response of island vegetation to ranch animal removal and climate fluctuations. Since that time, monitoring has documented the range of natural fluctuation in island environments over decades and provided insights into vegetation change in ecosystems unencumbered by ongoing development. Long-term vegetation monitoring at CHIS is therefore a rare example of an ecosystem experiment that demonstrates the results of management actions and serves as a baseline for land managers and scientists worldwide. 

Terrestrial vegetation data collected between 1984 and 2018 were modeled to estimate trends over time and to characterize relationships with covariates related to site characteristics, nonnative mammal removal programs, and water balance metrics. Data were analyzed for trends in vegetation cover, woody plant density, and plant community diversity grouped by life form and nativity across all islands and within individual islands, as well as for several individual species that dominate plant communities or present challenges to native plant recovery. In all, a total of 162 trend and covariate models were tested in this study, the details of which are provided in this report. Briefly, results reflect a decline in nonnative annual disturbance-thriving species with the reduction in animal grazing and trampling. Increasing trends were observed in native shrub density and native shrub recruitment density, as well as native shrub cover across all islands averaged together and on Santa Cruz Island. However, opposite trends were seen on the smaller islands of Santa Barbara and Anacapa, where increasing seabird activity may be damaging vegetation. Further results indicate the importance of soil moisture, relative humidity, fog, precipitation, site exposure, and solar radiation for vegetation patterns and trends. In many instances, there are apparent interacting effects of environmental variables with trends related to nonnative mammal removal and site location. Vegetation patterns in space and time emerge in the dataset as nuanced responses to interacting drivers. 

","language":"English","publisher":"National Park Service","doi":"10.36967/2315831","usgsCitation":"Starcevich, L.A., Murray, C., Lee, L.F., Williams, C.B., and McEachern, K., 2025, Analysis of trends in terrestrial vegetation at Mediterranean Coast Network Parks: Channel Islands National Park: Science Report NPS/SR-2025/358, xvi, 176 p., https://doi.org/10.36967/2315831.","productDescription":"xvi, 176 p.","ipdsId":"IP-144822","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Calfornia","otherGeospatial":"Channel Islands National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.7325747,\n 34.3878669\n ],\n [\n -120.6273817,\n 33.7780062\n ],\n [\n -119.4370392,\n 32.9735463\n ],\n [\n -118.1857956,\n 32.6851079\n ],\n [\n -118.2300874,\n 33.4875961\n ],\n [\n -119.4591851,\n 34.2049123\n ],\n [\n -120.2398283,\n 34.3513079\n ],\n [\n -120.7325747,\n 34.3878669\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Starcevich, Leigh Ann","contributorId":366371,"corporation":false,"usgs":false,"family":"Starcevich","given":"Leigh","middleInitial":"Ann","affiliations":[{"id":38051,"text":"Western EcoSystems Technology, Inc.","active":true,"usgs":false}],"preferred":false,"id":955748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Christopher","contributorId":340084,"corporation":false,"usgs":false,"family":"Murray","given":"Christopher","affiliations":[{"id":81451,"text":"School of Marine and Environmental Affairs and Washington Ocean Acidification Center, 7 University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":955749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Lena F.S.","contributorId":366372,"corporation":false,"usgs":false,"family":"Lee","given":"Lena","middleInitial":"F.S.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":955750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Cameron B.","contributorId":366373,"corporation":false,"usgs":false,"family":"Williams","given":"Cameron","middleInitial":"B.","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":955751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":955752,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272672,"text":"70272672 - 2025 - Evaluating Laramide orogenesis via flexural basin response in the San Juan basin, New Mexico and Colorado","interactions":[],"lastModifiedDate":"2025-12-03T16:59:51.732342","indexId":"70272672","displayToPublicDate":"2025-11-01T10:56:57","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluating Laramide orogenesis via flexural basin response in the San Juan basin, New Mexico and Colorado","docAbstract":"A challenge in interpreting the location, timing, and magnitude of ancient orogenic events is that ongoing uplift and erosion in the hinterlands often destroys much of the primary record of these events. However, basin-thickness patterns in the sedimentary record can provide complimentary evidence of uplift via flexural effects. Here, we deploy well-log correlation, isochores, basin modeling, flexural modeling, and subcrop mapping to evaluate the Late Cretaceous to Paleogene basin response to Laramide tectonism in the San Juan basin.\nA wedge of upper Campanian to Maastrichtian sedimentary rock thickens from 200 to 800 meters from southeast to northwest in the basin. This pattern can be successfully simulated via flexural modeling if we infer early Laramide uplift along the northwest basin flank that produced a 0.8 km high topographic load. The Laramide unconformity bounds the top of this Upper Cretaceous sedimentary wedge and truncates progressively older strata to the east, further supporting a westward tilt of the basin. The onset of Campanian Laramide flexure may have also contributed to the profound transgression from the upper Menefee Formation to the Lewis Shale. The Paleocene isochore map displays an approximately symmetrical pattern, with thickening towards the center of the basin. This suggests the possibility of competing flexural loads. The base Eocene structure indicates an asymmetric deep on the northeast flank of the basin, providing flexural evidence of contemporaneous uplift/loading of the Nacimiento uplift and Archuleta arch; this has been modeled as ~2.1 km load height. Both Cretaceous and Paleocene sedimentary wedges are narrow, suggesting low flexural rigidity; modeled effective elastic thicknesses (EET) are 20-30 km, comparable to estimates of modern EET for the region.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"New Mexico Geological Society 75th annual fall field conference guidebook","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"New Mexico Geological Society","doi":"10.56577/FFC-75.137","usgsCitation":"Rudolph, K., Leary, R.J., Smith, T.M., and Zellman, K.L., 2025, Evaluating Laramide orogenesis via flexural basin response in the San Juan basin, New Mexico and Colorado, in New Mexico Geological Society 75th annual fall field conference guidebook, v. 75, p. 137-151, https://doi.org/10.56577/FFC-75.137.","productDescription":"15 p.","startPage":"137","endPage":"151","ipdsId":"IP-175192","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":497017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"San Juan basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.04232983844348,\n 37.76447939513321\n ],\n [\n -109.04232983844348,\n 35.54285591268403\n ],\n [\n -106.12408801348575,\n 35.54285591268403\n ],\n [\n -106.12408801348575,\n 37.76447939513321\n ],\n [\n -109.04232983844348,\n 37.76447939513321\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"75","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rudolph, Kurt","contributorId":363209,"corporation":false,"usgs":false,"family":"Rudolph","given":"Kurt","affiliations":[{"id":86652,"text":"Rice University and University of Houston","active":true,"usgs":false}],"preferred":false,"id":951277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leary, Ryan J","contributorId":174702,"corporation":false,"usgs":false,"family":"Leary","given":"Ryan","email":"","middleInitial":"J","affiliations":[{"id":27500,"text":"Fisheries Biologist, The Klamath Tribes, 5671 Sprague River Road, Chiloquin, OR 97624","active":true,"usgs":false}],"preferred":false,"id":951278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Tyson Michael 0000-0003-2834-3526","orcid":"https://orcid.org/0000-0003-2834-3526","contributorId":330276,"corporation":false,"usgs":true,"family":"Smith","given":"Tyson","email":"","middleInitial":"Michael","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zellman, Kristine L. 0000-0002-7088-429X kzellman@usgs.gov","orcid":"https://orcid.org/0000-0002-7088-429X","contributorId":4849,"corporation":false,"usgs":true,"family":"Zellman","given":"Kristine","email":"kzellman@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":951280,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272081,"text":"70272081 - 2025 - Ultralong, supershear rupture of the 2025 Mw 7.7 Mandalay earthquake reveals unaccounted risk","interactions":[],"lastModifiedDate":"2025-11-14T16:45:27.125747","indexId":"70272081","displayToPublicDate":"2025-10-30T10:36:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Ultralong, supershear rupture of the 2025 Mw 7.7 Mandalay earthquake reveals unaccounted risk","docAbstract":"

The 28 March 2025 moment magnitude (Mw) 7.7 earthquake in Mandalay, Burma (Myanmar), ruptured 475 kilometers of the Sagaing Fault, which was more than twice the length predicted by magnitude scaling relationships. Kinematic slip models and observation of a Rayleigh Mach wave that passed through parts of Thailand confirmed that rupture occurred at supershear velocities of greater than 5 kilometers per second. The anomalous length exposed a vast population to violent near-fault shaking. The Mandalay earthquake is a modern analog for the Mw 7.9 1906 San Francisco earthquake, another atypically long and fast rupture. Probabilistic seismic hazard analyses use scaling relations that do not account for such long ruptures at moderate magnitudes. This limitation, in conjunction with a likely increased population and infrastructure exposure for atypically long ruptures, contributes to a potential mischaracterization of seismic risk.

","language":"English","publisher":"AAAS","doi":"10.1126/science.ady3581","usgsCitation":"Goldberg, D.E., Yeck, W.L., Hanagan, C., Atterholt, J.W., Kehoe, H.L., Reitman, N.G., Barnhart, W.D., Shelly, D.R., Hatem, A.E., Wald, D., and Earle, P.S., 2025, Ultralong, supershear rupture of the 2025 Mw 7.7 Mandalay earthquake reveals unaccounted risk: Science, v. 390, no. 6772, p. 458-462, https://doi.org/10.1126/science.ady3581.","productDescription":"5 p.","startPage":"458","endPage":"462","ipdsId":"IP-178620","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":496498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Burma/Myanmar","city":"Mandalay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 90,\n 28\n ],\n [\n 90,\n 16\n ],\n [\n 102,\n 16\n ],\n [\n 102,\n 28\n ],\n [\n 90,\n 28\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"390","issue":"6772","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Goldberg, Dara Elyse 0000-0002-0923-3180","orcid":"https://orcid.org/0000-0002-0923-3180","contributorId":289891,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dara","email":"","middleInitial":"Elyse","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanagan, Catherine Elise 0000-0002-2966-5175","orcid":"https://orcid.org/0000-0002-2966-5175","contributorId":358930,"corporation":false,"usgs":true,"family":"Hanagan","given":"Catherine Elise","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":950007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atterholt, James William 0000-0003-1603-5518","orcid":"https://orcid.org/0000-0003-1603-5518","contributorId":361969,"corporation":false,"usgs":true,"family":"Atterholt","given":"James","middleInitial":"William","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":950008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kehoe, Haiyang Liam 0000-0002-5818-6077","orcid":"https://orcid.org/0000-0002-5818-6077","contributorId":362101,"corporation":false,"usgs":true,"family":"Kehoe","given":"Haiyang","middleInitial":"Liam","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":950009,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950010,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnhart, William D. 0000-0003-0498-1697 wbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0003-0498-1697","contributorId":294678,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":950011,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950012,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950013,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wald, David 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":150898,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950014,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950015,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70272137,"text":"70272137 - 2025 - A spatiotemporal interrogation of hydrologic drought model performance for machine learning model interpretability","interactions":[],"lastModifiedDate":"2025-11-17T16:08:00.3984","indexId":"70272137","displayToPublicDate":"2025-10-30T10:01:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A spatiotemporal interrogation of hydrologic drought model performance for machine learning model interpretability","docAbstract":"

The predictive accuracy of regional hydrologic models often varies across both time and space. Interpreting relationships between watershed characteristics, hydrologic regimes, and model performance can reveal potential areas for model improvement. In this study, we use machine learning to assess model performance of a regional hydrologic model to forecast the occurrence of streamflow drought. We demonstrate our methodology using a regional long short-term memory (LSTM) deep learning model developed by the U.S. Geological Survey (USGS) and data from 384 streamgages across the Colorado River Basin region. Performance was assessed by clustering catchments using: (a) physical and climatological catchment attributes, and (b) streamflow drought signatures time series. We examined the association of USGS LSTM model error measures with clusters generated by both approaches to interpret meaningful spatial and temporal information about LSTM model performance. Clustering static catchment attributes identified elevation, degree of streamflow regulation, baseflow contribution, catchment aridity, and drainage area as the most influential attributes to model performance. Clustering gages by their drought signatures revealed that catchments with significant seasonal peak runoff between January and June generally exhibited better model performance. Additionally, a Random Forest classifier was trained to successfully predict LSTM model performance (F1 score of 0.72) based on physical and climatological catchment attributes. Low degree of flow regulation was identified as a key indicator of better LSTM model performance. These findings point to the opportunities for improving the USGS LSTM model performance in future hydrologic drought prediction efforts across regional and CONUS scales.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR039077","usgsCitation":"Dadkhah, A., Hamshaw, S.D., van der Heijden, R., and Rizzo, D.M., 2025, A spatiotemporal interrogation of hydrologic drought model performance for machine learning model interpretability: Water Resources Research, v. 61, no. 11, e2024WR039077, 20 p., https://doi.org/10.1029/2024WR039077.","productDescription":"e2024WR039077, 20 p.","ipdsId":"IP-171117","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":496726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr039077","text":"Publisher Index Page"},{"id":496550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, South Dakota, Texas, Utah, Wyoming","otherGeospatial":"Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.82376678919411,\n 36.26233085914717\n ],\n [\n -115.85085818096155,\n 32.567720561211985\n ],\n [\n -110.51032589138043,\n 31.22468250332072\n ],\n [\n -108.12617557977711,\n 31.516111303152087\n ],\n [\n -107.07123697669522,\n 32.48455428990293\n ],\n [\n -102.78172590159346,\n 34.79341128012621\n ],\n [\n -102.32122175185708,\n 37.822265600751294\n ],\n [\n -104.54120424685271,\n 39.31008340398529\n ],\n [\n -105.01672465698343,\n 42.43285898166596\n ],\n [\n -102.61536956018404,\n 44.597711605623914\n ],\n [\n -103.68883267765926,\n 45.86117991057367\n ],\n [\n -104.94111657475693,\n 46.52791159365242\n ],\n [\n -111.34981535286528,\n 46.65300676975278\n ],\n [\n -113.2114048549673,\n 44.05547092656684\n ],\n [\n -115.54731167526421,\n 41.97871186707138\n ],\n [\n -119.35050975086381,\n 42.039351853495674\n ],\n [\n -119.8152614776348,\n 40.77295494694408\n ],\n [\n -119.24558792818462,\n 38.8937217445025\n ],\n [\n -116.82376678919411,\n 36.26233085914717\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"61","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Dadkhah, Ali 0000-0002-0861-4926","orcid":"https://orcid.org/0000-0002-0861-4926","contributorId":362194,"corporation":false,"usgs":false,"family":"Dadkhah","given":"Ali","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":950171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamshaw, Scott Douglas 0000-0002-0583-4237","orcid":"https://orcid.org/0000-0002-0583-4237","contributorId":305601,"corporation":false,"usgs":true,"family":"Hamshaw","given":"Scott","email":"","middleInitial":"Douglas","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":950172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van der Heijden, Ryan 0000-0003-1320-9500","orcid":"https://orcid.org/0000-0003-1320-9500","contributorId":362195,"corporation":false,"usgs":false,"family":"van der Heijden","given":"Ryan","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":950173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rizzo, Donna M.","contributorId":362196,"corporation":false,"usgs":false,"family":"Rizzo","given":"Donna","middleInitial":"M.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":950174,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273222,"text":"70273222 - 2025 - Earthquake stress-drop values delineate spatial variations in maximum shear stress in the Japanese forearc lithosphere","interactions":[],"lastModifiedDate":"2025-12-22T15:52:08.98147","indexId":"70273222","displayToPublicDate":"2025-10-29T08:46:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17089,"text":"Communications Earth and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake stress-drop values delineate spatial variations in maximum shear stress in the Japanese forearc lithosphere","docAbstract":"

Earthquake stress drop (Δσ) may increase with depth and stress in the brittle lithosphere. However, the range of uncertainty in Δσ and the lack of constraints on absolute stress make it difficult to establish whether they are correlated. Here, we investigate Δσ dependence on depth and maximum shear stress (τmax) based on ~11 years of seismicity in the northeastern Japanese forearc following the 2011 Tohoku-Oki megathrust earthquake. We interpret Δσ estimates computed using both individual spectra and spectral-ratio methods and find that Δσ exhibits a clear depth dependence within the seismically active upper ~60 km of the forearc lithosphere ( ~ 0.8 MPa per 10 km). We further compare Δσ values with quantitative τmax estimates from finite-element models of force balance. We find that median Δσ values increase with τmax in the brittle forearc lithosphere and that earthquake stress release is proportional to τmax. The dependence of Δσ on τmax explains the apparent depth dependence of Δσ and suggests that average Δσ values provide a relative measure of the stress at failure. In the northeastern Japanese forearc, Δσ values remained roughly constant in the decade following the Tohoku-Oki earthquake, suggesting negligible changes in failure stress in the forearc since the mainshock.

","language":"English","publisher":"Springer Nature","doi":"10.1038/s43247-025-02877-y","usgsCitation":"Bocchini, G., Dielforder, A., Kemna, K.B., Harrington, R.M., and Cochran, E.S., 2025, Earthquake stress-drop values delineate spatial variations in maximum shear stress in the Japanese forearc lithosphere: Communications Earth and Environment, v. 6, 858, 14 p., https://doi.org/10.1038/s43247-025-02877-y.","productDescription":"858, 14 p.","ipdsId":"IP-165224","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":498049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02877-y","text":"Publisher Index Page"},{"id":497873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 139.99093699006892,\n 41.48011137249637\n ],\n [\n 139.99093699006892,\n 36.49167223065241\n ],\n [\n 142.62081818423303,\n 36.49167223065241\n ],\n [\n 142.62081818423303,\n 41.48011137249637\n ],\n [\n 139.99093699006892,\n 41.48011137249637\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Bocchini, Gian Maria","contributorId":364510,"corporation":false,"usgs":false,"family":"Bocchini","given":"Gian Maria","affiliations":[{"id":86831,"text":"Institut für Geologie, Mineralogie und Geophysik, Ruhr Universität Bochum, Germany","active":true,"usgs":false}],"preferred":false,"id":952779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dielforder, Armin","contributorId":364511,"corporation":false,"usgs":false,"family":"Dielforder","given":"Armin","affiliations":[{"id":86833,"text":"Institut für Geologie, Leibniz Universität Hannover, Germany","active":true,"usgs":false}],"preferred":false,"id":952780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kemna, Kilian B.","contributorId":247705,"corporation":false,"usgs":false,"family":"Kemna","given":"Kilian","middleInitial":"B.","affiliations":[{"id":49624,"text":"Ruhr University Bochum","active":true,"usgs":false}],"preferred":false,"id":952781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrington, Rebecca M.","contributorId":247707,"corporation":false,"usgs":false,"family":"Harrington","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":49624,"text":"Ruhr University Bochum","active":true,"usgs":false}],"preferred":false,"id":952782,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":952783,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273262,"text":"70273262 - 2025 - Non-native bird populations respond differently to their environment and exhibit shifts in ecological niche limits across continents","interactions":[],"lastModifiedDate":"2025-12-29T15:49:37.164439","indexId":"70273262","displayToPublicDate":"2025-10-27T09:45:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Non-native bird populations respond differently to their environment and exhibit shifts in ecological niche limits across continents","docAbstract":"

Aim

The degree to which species' niches remain stable over space and time–the niche conservatism hypothesis–is critical for predicting species' responses to environmental change. Tests of this hypothesis typically focus on changes in niche centroids and boundaries. An outstanding question is whether species' environmental associations differ within the interior of their niche space–that is, across the full range of occupied conditions–in original versus novel geographic space.

Location

Europe and North America.

Time Period

1997–2018.

Major Taxa Studied

Birds.

Methods

We used over 400,000 observations collected over 22 years and across 28 countries to explore whether two common songbird species—European starling (Sturnus vulgaris) and house sparrow (Passer domesticus) – exhibit niche conservatism between their native European and non-native North American ranges. We tested for niche conservatism via (1) an ordination approach that quantified change in niche shape and boundaries, and (2) generalised linear mixed effects models to quantify how abundance varied with the interaction between continent and climate or land cover variables.

Results

The ordination analysis indicated that both European starling and house sparrow exhibited niche conservatism between Europe and North America. However, abundance models revealed continental differences in how the species responded to temperature and land cover. The abundance models also revealed that areas with wetter conditions that were occupied by both species in their native European ranges were available but unoccupied in their non-native North American ranges (i.e., niche unfilling).

Main Conclusions

Our work demonstrates that species can exhibit apparent consistency in niche boundaries but varied abundance responses to the environment within niche boundaries. Expanding the study of niche conservatism to explore changes both at the edge of and within niche boundaries would improve the ability to assess and predict species' invasion risk or sensitivity to ongoing global change.

","language":"English","publisher":"Wiley","doi":"10.1111/ddi.70100","usgsCitation":"Davis, K., Sofaer, H., Smith, H.G., Heldbjerg, H., Gamero, A., Auniņš, A., Brotons, L., Chodkiewicz, T., Eskildsen, D.P., Fontaine, B., Kålås, J.A., Kmecl, P., Kurlavičius, P., Lehikoinen, A., Lindström, Å., Øien, I.J., Reif, J., Strebel, N., Szép, T., van Turnhout, C.A., Vikstrøm, T., and Pejchar, L., 2025, Non-native bird populations respond differently to their environment and exhibit shifts in ecological niche limits across continents: Diversity and Distributions, v. 31, no. 10, e70100, 12 p., https://doi.org/10.1111/ddi.70100.","productDescription":"e70100, 12 p.","ipdsId":"IP-179353","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":498271,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.70100","text":"Publisher Index Page"},{"id":498145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Kristin P.","contributorId":175448,"corporation":false,"usgs":false,"family":"Davis","given":"Kristin P.","affiliations":[{"id":27570,"text":"Natural Resource Ecology Lab, Colorado State U, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":952916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sofaer, Helen 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":952917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Henrik G.","contributorId":364588,"corporation":false,"usgs":false,"family":"Smith","given":"Henrik","middleInitial":"G.","affiliations":[{"id":13428,"text":"Lund University","active":true,"usgs":false}],"preferred":false,"id":952918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heldbjerg, Henning","contributorId":174479,"corporation":false,"usgs":false,"family":"Heldbjerg","given":"Henning","email":"","affiliations":[],"preferred":false,"id":952919,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gamero, Anna","contributorId":364590,"corporation":false,"usgs":false,"family":"Gamero","given":"Anna","affiliations":[{"id":86858,"text":"Czech Society for Ornithology","active":true,"usgs":false}],"preferred":false,"id":952920,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Auniņš, Ainārs","contributorId":364591,"corporation":false,"usgs":false,"family":"Auniņš","given":"Ainārs","affiliations":[{"id":86860,"text":"Latvian Ornithological Society","active":true,"usgs":false}],"preferred":false,"id":952921,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brotons, Lluís","contributorId":364592,"corporation":false,"usgs":false,"family":"Brotons","given":"Lluís","affiliations":[{"id":86861,"text":"Natural History Museum of Barcelona","active":true,"usgs":false}],"preferred":false,"id":952922,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chodkiewicz, Tomasz","contributorId":174460,"corporation":false,"usgs":false,"family":"Chodkiewicz","given":"Tomasz","email":"","affiliations":[],"preferred":false,"id":952923,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eskildsen, Daniel Palm","contributorId":364593,"corporation":false,"usgs":false,"family":"Eskildsen","given":"Daniel","middleInitial":"Palm","affiliations":[{"id":86862,"text":"BirdLife Denmark","active":true,"usgs":false}],"preferred":false,"id":952924,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fontaine, Benoît","contributorId":364595,"corporation":false,"usgs":false,"family":"Fontaine","given":"Benoît","affiliations":[{"id":86863,"text":"Muséum national d'Histoire naturelle","active":true,"usgs":false}],"preferred":false,"id":952925,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kålås, John Atle","contributorId":364596,"corporation":false,"usgs":false,"family":"Kålås","given":"John","middleInitial":"Atle","affiliations":[{"id":33046,"text":"Norwegian Institute for Nature Research","active":true,"usgs":false}],"preferred":false,"id":952926,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kmecl, Primož","contributorId":364597,"corporation":false,"usgs":false,"family":"Kmecl","given":"Primož","affiliations":[{"id":86865,"text":"BirdLife Slovenia","active":true,"usgs":false}],"preferred":false,"id":952927,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kurlavičius, Petras","contributorId":364598,"corporation":false,"usgs":false,"family":"Kurlavičius","given":"Petras","affiliations":[{"id":86866,"text":"Lithuanian Ornithological Society","active":true,"usgs":false}],"preferred":false,"id":952928,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lehikoinen, Aleksi","contributorId":174483,"corporation":false,"usgs":false,"family":"Lehikoinen","given":"Aleksi","email":"","affiliations":[],"preferred":false,"id":952929,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lindström, Åke","contributorId":364599,"corporation":false,"usgs":false,"family":"Lindström","given":"Åke","affiliations":[{"id":13428,"text":"Lund University","active":true,"usgs":false}],"preferred":false,"id":952930,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Øien, Ingar Jostein","contributorId":364600,"corporation":false,"usgs":false,"family":"Øien","given":"Ingar","middleInitial":"Jostein","affiliations":[{"id":80536,"text":"BirdLife Norway","active":true,"usgs":false}],"preferred":false,"id":952931,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Reif, Jiří","contributorId":364601,"corporation":false,"usgs":false,"family":"Reif","given":"Jiří","affiliations":[{"id":86867,"text":"Palacký University","active":true,"usgs":false}],"preferred":false,"id":952932,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Strebel, Nicolas","contributorId":358290,"corporation":false,"usgs":false,"family":"Strebel","given":"Nicolas","affiliations":[{"id":67146,"text":"Swiss Ornithological Institute","active":true,"usgs":false}],"preferred":false,"id":952933,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Szép, Tibor","contributorId":364602,"corporation":false,"usgs":false,"family":"Szép","given":"Tibor","affiliations":[{"id":86868,"text":"BirdLife Hungary","active":true,"usgs":false}],"preferred":false,"id":952934,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"van Turnhout, Chris A.M.","contributorId":364603,"corporation":false,"usgs":false,"family":"van Turnhout","given":"Chris","middleInitial":"A.M.","affiliations":[{"id":83782,"text":"Sovon Dutch Centre for Field Ornithology","active":true,"usgs":false}],"preferred":false,"id":952935,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Vikstrøm, Thomas","contributorId":364604,"corporation":false,"usgs":false,"family":"Vikstrøm","given":"Thomas","affiliations":[{"id":86862,"text":"BirdLife Denmark","active":true,"usgs":false}],"preferred":false,"id":952936,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Pejchar, Liba","contributorId":225494,"corporation":false,"usgs":false,"family":"Pejchar","given":"Liba","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":952937,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70272295,"text":"70272295 - 2025 - Application of fin tissue for nonlethal stable isotope analysis of small-bodied fishes","interactions":[],"lastModifiedDate":"2025-11-20T15:14:12.498727","indexId":"70272295","displayToPublicDate":"2025-10-27T08:07:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Application of fin tissue for nonlethal stable isotope analysis of small-bodied fishes","docAbstract":"

Stable isotopes are commonly used to characterize food web structure and resource use by aquatic organisms. White muscle is generally preferred for stable isotope analysis of fishes. However, obtaining white muscle tissue typically requires lethal take or invasive sampling techniques, which are undesirable for small-bodied species or those of conservation concern. We assessed the use of fish fin as a nonlethal alternative to muscle tissue for stable isotope analysis of four small-bodied fishes native to the upper Red River drainage of Texas and Oklahoma, USA: plains minnow Hybognathus placitus, prairie chub Macrhybopsis australis, Red River shiner Alburnops bairdi, and Red River pupfish Cyprinodon rubrofluviatilis. Fin isotope values were strong predictors of both δ15N and δ13C muscle isotope values (ANCOVA: δ15N: F1,451 = 5312.09, P < 0.001; δ13C: F1,451 = 7864.39, P < 0.001), although isotopic composition varied among species for δ13C (F3,451 = 4.29, P < 0.01). Species-specific regression models indicated positive linear relationships between fin and muscle isotope values (δ15N: P < 0.001, R2 ≥ 0.80; δ13C: P < 0.001, R2 ≥ 0.83) that did not vary significantly with body size or age of individuals. We suggest minimum total length thresholds for least destructive fin clipping at 70 mm, 62 mm, and 48 mm for plains minnow, prairie chub, and Red River pupfish, respectively. Nonlethal fin clipping may not be viable for Red River shiner within the size range reported here as multiple fins were required for routine analysis. Overall, we conclude that fin tissue may be used for δ15N and δ13C assessments to mitigate lethal take of imperiled, small-bodied fishes.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s10641-025-01755-y","usgsCitation":"Wilson, W.M., Rogosch, J.S., Collins, S.F., Durham, B.W., Mayes, K.B., and Robertson, S.M., 2025, Application of fin tissue for nonlethal stable isotope analysis of small-bodied fishes: Environmental Biology of Fishes, v. 108, p. 2181-2198, https://doi.org/10.1007/s10641-025-01755-y.","productDescription":"18 p.","startPage":"2181","endPage":"2198","ipdsId":"IP-177458","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496754,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10641-025-01755-y","text":"Publisher Index Page"},{"id":496679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma, Texas","otherGeospatial":"upper Red River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.08343881456011,\n 36.06041134795764\n ],\n [\n -103.08343881456011,\n 33.59642025802633\n ],\n [\n -95.680826939681,\n 33.59642025802633\n ],\n [\n -95.680826939681,\n 36.06041134795764\n ],\n [\n -103.08343881456011,\n 36.06041134795764\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"108","noUsgsAuthors":false,"publicationDate":"2025-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Wade M.","contributorId":362677,"corporation":false,"usgs":false,"family":"Wilson","given":"Wade","middleInitial":"M.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":950712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogosch, Jane S. 0000-0002-1748-4991","orcid":"https://orcid.org/0000-0002-1748-4991","contributorId":317717,"corporation":false,"usgs":true,"family":"Rogosch","given":"Jane","middleInitial":"S.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Scott F.","contributorId":362680,"corporation":false,"usgs":false,"family":"Collins","given":"Scott","middleInitial":"F.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":950714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durham, Bart W.","contributorId":362683,"corporation":false,"usgs":false,"family":"Durham","given":"Bart","middleInitial":"W.","affiliations":[{"id":86550,"text":"Lubbock Christian University","active":true,"usgs":false}],"preferred":false,"id":950715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mayes, Kevin B.","contributorId":362684,"corporation":false,"usgs":false,"family":"Mayes","given":"Kevin","middleInitial":"B.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":950716,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robertson, Sarah M.","contributorId":362685,"corporation":false,"usgs":false,"family":"Robertson","given":"Sarah","middleInitial":"M.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":950717,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273509,"text":"70273509 - 2025 - Recovery of Delaware Bay horseshoe crabs following harvest reductions","interactions":[],"lastModifiedDate":"2026-01-21T15:03:39.197863","indexId":"70273509","displayToPublicDate":"2025-10-27T07:57:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20748,"text":"Marine and Coastal Fisheries: Dynamics, Management and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Recovery of Delaware Bay horseshoe crabs following harvest reductions","docAbstract":"

Objective

Horseshoe crabs Limulus polyphemus play a vital role in the Delaware Bay ecosystem. The migratory stopover of several shorebird species occurs during the horseshoe crab spawning season, and the eggs of horseshoe crabs provide an essential food source to fuel their northward migration to breeding areas. High commercial fishery use of horseshoe crabs as bait during the 1990s coincided with a decline in crabs and shorebirds, particularly the red knot Calidris canutus rufa, which has been listed as threatened under the U.S. Endangered Species Act since 2015. In response to the population decline of shorebirds, the Atlantic States Marine Fisheries Commission began reducing the harvest of horseshoe crabs in 2000 with a goal of rebuilding the population of horseshoe crabs and shorebirds that depend upon them. The objective of this analysis was to determine whether horseshoe crab harvest management in the Delaware Bay region has increased the abundance of the species in recent years.

Methods

We analyzed data from fisheries-independent trawl surveys of horseshoe crab relative abundance using a Bayesian hierarchical model to determine whether harvest management has resulted in the rebuilding of the horseshoe crab population to levels seen in 1990—a period before the overuse of horseshoe crabs and the decline in the population of red knots.

Results

Data from multiple surveys showed that the horseshoe crab population in Delaware Bay declined from the 1990s through approximately 2005, was relatively low and stable until 2010, and then increased through 2023, with a 0.38 probability of exceeding the 1990 level.

Conclusions

The results of this analysis support the effectiveness of management decisions related to horseshoe crabs in the Delaware Bay region. In response to harvest restrictions, the abundance of horseshoe crabs has neared levels observed in the early 1990s—a period prior to high commercial use and a decline in both horseshoe crabs and shorebirds that depend on them for food during annual migrations.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/mcfafs/vtaf040","usgsCitation":"Sweka, J., Anstead, K., Smith, D.R., Barry, L., Zimmerman, J., Doctor, S., Weedon, C., Gartland, J., Jiao, Y., Ferretti, F., and Hallerman, E.M., 2025, Recovery of Delaware Bay horseshoe crabs following harvest reductions: Marine and Coastal Fisheries: Dynamics, Management and Ecosystem Science, v. 17, no. 5, vtaf040, 11 p., https://doi.org/10.1093/mcfafs/vtaf040.","productDescription":"vtaf040, 11 p.","ipdsId":"IP-180039","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498928,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/mcfafs/vtaf040","text":"Publisher Index Page"},{"id":498794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.73652508190773,\n 39.70362450005183\n ],\n [\n -75.73652508190773,\n 38.62515671907127\n ],\n [\n -74.71835783856952,\n 38.62515671907127\n ],\n [\n -74.71835783856952,\n 39.70362450005183\n ],\n [\n -75.73652508190773,\n 39.70362450005183\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Sweka, John A.","contributorId":348306,"corporation":false,"usgs":false,"family":"Sweka","given":"John A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anstead, Kristen A.","contributorId":348307,"corporation":false,"usgs":false,"family":"Anstead","given":"Kristen A.","affiliations":[{"id":83332,"text":"Atlantic States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":954089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":954090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barry, Linda","contributorId":329848,"corporation":false,"usgs":false,"family":"Barry","given":"Linda","email":"","affiliations":[],"preferred":false,"id":954091,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmerman, Jordan","contributorId":365299,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jordan","affiliations":[{"id":36379,"text":"Delaware Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":954092,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doctor, Steve","contributorId":365300,"corporation":false,"usgs":false,"family":"Doctor","given":"Steve","affiliations":[{"id":87125,"text":"Maryland Fishing and Boating Service","active":true,"usgs":false}],"preferred":false,"id":954093,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weedon, Craig","contributorId":365301,"corporation":false,"usgs":false,"family":"Weedon","given":"Craig","affiliations":[{"id":87125,"text":"Maryland Fishing and Boating Service","active":true,"usgs":false}],"preferred":false,"id":954094,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gartland, James","contributorId":365302,"corporation":false,"usgs":false,"family":"Gartland","given":"James","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":954095,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jiao, Yan","contributorId":204633,"corporation":false,"usgs":false,"family":"Jiao","given":"Yan","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":954096,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ferretti, Francesco","contributorId":356499,"corporation":false,"usgs":false,"family":"Ferretti","given":"Francesco","affiliations":[{"id":85065,"text":"Fish and Wildlife Conservation, College of Natural resources and Environment, Virginia Tech, 310 West Campus Drive, Cheatham Hall, 24060 Blacksburg (Virgin","active":true,"usgs":false}],"preferred":false,"id":954097,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hallerman, Eric M.","contributorId":350503,"corporation":false,"usgs":false,"family":"Hallerman","given":"Eric","middleInitial":"M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":954098,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70273238,"text":"70273238 - 2025 - Seasonal increases in global dryland gross primary production are modulated by root soil moisture and temperature","interactions":[],"lastModifiedDate":"2025-12-22T15:06:55.309285","indexId":"70273238","displayToPublicDate":"2025-10-25T07:59:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal increases in global dryland gross primary production are modulated by root soil moisture and temperature","docAbstract":"

Dryland ecosystems, which are highly sensitive to environmental variability across space and through time, play a critical role in the global carbon cycle. To understand the carbon sink role of drylands, this study used different sources of global dryland gross primary productivity (GPP) and evaluated the spatiotemporal variations in seasonal GPP in response to climatic and soil water conditions from 1982 to 2018. Root-zone soil moisture consistently exerted a predominant positive influence on dryland GPP across all seasons, while the effect of surface soil moisture was less influential. Maximum temperature (Tmax) ranked as the second most influential factor on GPP, switching from a notable positive effect during cooler seasons to a negative impact during warmer seasons. Similarly, during cool seasons, vapor pressure deficit exhibited a notable positive effect on GPP, but this influence became negative in warmer seasons. Tmax indirectly regulated GPP by modulating the influence of other meteorological factors. During the warm season, Tmax negatively affected GPP via VPD, while in the cold season, it positively affected GPP through VPD. This study explicitly identifies the pivotal role of root-zone soil moisture in determining GPP and highlights the substantial seasonal differences and regulatory role of temperature in how other environmental variables influence GPP. These findings provide a novel perspective for understanding the responses of dryland ecosystems to climate change.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2025.105133","usgsCitation":"Lan, L., Munson, S.M., Yu, K., Fang, Z., Chen, X., Zhao, W., Sun, S., Wang, Z., He, F., and Liang, Y., 2025, Seasonal increases in global dryland gross primary production are modulated by root soil moisture and temperature: Global and Planetary Change, v. 255, 105133, 12 p., https://doi.org/10.1016/j.gloplacha.2025.105133.","productDescription":"105133, 12 p.","ipdsId":"IP-178265","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"255","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lan, Lihua","contributorId":364524,"corporation":false,"usgs":false,"family":"Lan","given":"Lihua","affiliations":[{"id":86835,"text":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China","active":true,"usgs":false}],"preferred":false,"id":952816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yu, Kailiang","contributorId":221398,"corporation":false,"usgs":false,"family":"Yu","given":"Kailiang","email":"","affiliations":[{"id":40362,"text":"Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA","active":true,"usgs":false}],"preferred":false,"id":952818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fang, Zhongxiang","contributorId":364525,"corporation":false,"usgs":false,"family":"Fang","given":"Zhongxiang","affiliations":[{"id":86838,"text":"Institute of Geography, Augsburg University, Augsburg, Germany","active":true,"usgs":false}],"preferred":false,"id":952819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Xiuzhi","contributorId":364526,"corporation":false,"usgs":false,"family":"Chen","given":"Xiuzhi","affiliations":[{"id":86839,"text":"e Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, China","active":true,"usgs":false}],"preferred":false,"id":952820,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhao, Weiguang","contributorId":150211,"corporation":false,"usgs":false,"family":"Zhao","given":"Weiguang","email":"","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":952821,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sun, Siao","contributorId":364528,"corporation":false,"usgs":false,"family":"Sun","given":"Siao","affiliations":[{"id":86835,"text":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China","active":true,"usgs":false}],"preferred":false,"id":952823,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Zhenbo","contributorId":364527,"corporation":false,"usgs":false,"family":"Wang","given":"Zhenbo","affiliations":[{"id":86835,"text":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China","active":true,"usgs":false}],"preferred":false,"id":952822,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"He, Fei","contributorId":305412,"corporation":false,"usgs":false,"family":"He","given":"Fei","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":952824,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Liang, Yuan","contributorId":364529,"corporation":false,"usgs":false,"family":"Liang","given":"Yuan","affiliations":[{"id":86835,"text":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China","active":true,"usgs":false}],"preferred":false,"id":952825,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70272281,"text":"70272281 - 2025 - Control of a dominant predator influences the occurrence of a mesocarnivore of conservation concern","interactions":[],"lastModifiedDate":"2025-11-20T15:59:07.890196","indexId":"70272281","displayToPublicDate":"2025-10-24T09:53:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Control of a dominant predator influences the occurrence of a mesocarnivore of conservation concern","docAbstract":"
Context

Interspecific interactions shape ecological communities, influence community dynamics, and drive co-evolution. Despite their ecological significance, predation and competition remain understudied in plains spotted skunks (Spilogale interrupta), a species of conservation concern. Clarifying how predator management influences their occurrence is crucial for effective conservation.

Aims

We investigated how coyote (Canis latrans) management affects the occupancy of plains spotted skunks and whether interspecific interactions with domestic cats (Felis catus) and striped skunks (Mephitis mephitis) influence plains spotted skunk occurrence.

Methods

We analysed live-trap data from east-central South Dakota collected in spring of 2021 and 2022. The study area encompassed portions of counties that implemented disparate predator management regimes, including one with systematic annual coyote removal and another without. We used single-species occupancy models to estimate detection and occupancy probabilities for plains spotted skunks, domestic cats, and striped skunks, incorporating environmental factors, including the site-specific predator control regime. We then applied conditional two-species occupancy models to test whether cats and striped skunks influenced plains spotted skunk occurrence.

Key results

Plains spotted skunks had the lowest occupancy, followed by domestic cats, and striped skunks. Our findings showed significant associations between coyote removal and occupancy probabilities for each mesocarnivore species. Plains spotted skunks had higher occupancy in areas where coyotes were annually removed. Spotted skunk occurrence was not conditional on either domestic cat or striped skunk occurrence.

Conclusions

In our study system, cats appear to pose less predation risk to spotted skunks than do other predators, reducing the likelihood that cats significantly influence spotted skunk occupancy. Defensive behaviours and use of spatial refugia by plains spotted skunks may further mitigate predation risk. In addition, co-evolutionary pressures may have led to trait adaptations that facilitate the independent co-occurrence of plains spotted skunks and striped skunks.

Implications

Our findings highlighted the ecological consequences of predator management and the importance of considering predator–prey dynamics in conservation and management planning. Strategies aimed at conserving plains spotted skunks should integrate predator control measures while considering broader mesocarnivore community interactions.

","language":"English","publisher":"CSIRO","doi":"10.1071/wr25116","usgsCitation":"White, K.M., Cheeseman, A.E., Stafford, J.D., and Lonsinger, R.C., 2025, Control of a dominant predator influences the occurrence of a mesocarnivore of conservation concern: Wildlife Research, v. 52, no. 11, WR25116, 11 p., https://doi.org/10.1071/wr25116.","productDescription":"WR25116, 11 p.","ipdsId":"IP-167639","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":496758,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wr25116","text":"Publisher Index Page"},{"id":496689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","county":"Faulk County, Hand County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.41029196481595,\n 45.22348100024749\n ],\n [\n -99.41029196481595,\n 44.93699850419435\n ],\n [\n -99.21031756805021,\n 44.93699850419435\n ],\n [\n -99.21031756805021,\n 45.22348100024749\n ],\n [\n -99.41029196481595,\n 45.22348100024749\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.21800889100282,\n 44.862086955641644\n ],\n [\n -99.21800889100282,\n 44.57653297552261\n ],\n [\n -99.02572581718914,\n 44.57653297552261\n ],\n [\n -99.02572581718914,\n 44.862086955641644\n ],\n [\n -99.21800889100282,\n 44.862086955641644\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Kara M.","contributorId":362624,"corporation":false,"usgs":false,"family":"White","given":"Kara","middleInitial":"M.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":950668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cheeseman, Amanda E.","contributorId":362627,"corporation":false,"usgs":false,"family":"Cheeseman","given":"Amanda","middleInitial":"E.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":950669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Joshua D. 0000-0001-7590-8708 jstafford@usgs.gov","orcid":"https://orcid.org/0000-0001-7590-8708","contributorId":267260,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":950670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950671,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274544,"text":"70274544 - 2025 - Lake sturgeon behavioral diversity in the Laurentian Great Lakes: Migratory patterns across populations and habitats","interactions":[],"lastModifiedDate":"2026-03-31T15:35:20.916707","indexId":"70274544","displayToPublicDate":"2025-10-23T10:30:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Lake sturgeon behavioral diversity in the Laurentian Great Lakes: Migratory patterns across populations and habitats","docAbstract":"

Background

Characterizing the diversity of migration behaviors from the individual to the population level is essential for understanding how organisms respond to environmental variation and how these responses affect survival and habitat use. Lake sturgeon (Acipenser fulvescens) is a species of special concern in the Laurentian Great Lakes that are long-lived and generally classified as intermittent, adfluvial spawners. Observations of lake sturgeon movements at ecologically relevant spatiotemporal scales have shown that migration behavior often varies among individuals within the same population. However, studies on individual populations, particularly when focused only on a part of the life cycle (e.g., often spawning), provide just a partial understanding of the species’ full migratory scope and processes underlying expression of different migratory behaviors. To better understand lake sturgeon migratory diversity, we characterized and compared migratory behaviors of six lake sturgeon populations occupying environments that varied in habitat availability and connectivity in different Laurentian Great Lakes.

Methods

Sequence analysis combined with agglomerative hierarchical clustering and visual inspection of daily location data were used to identify distinct lake sturgeon migratory behaviors present in each population.

Results

Seven distinct migratory behaviors were identified based on differential patterns of lake and river use that encompass spawning and other seasonal periods. Behaviors were categorized as annual spring river, intermittent spring river, intermittent two-step, annual summer river, annual winter river, and annual interlake migrants along with river residents. The presence and frequency of migratory behaviors varied substantially among populations.

Conclusions

Our study demonstrated that migratory diversity is a general feature of lake sturgeon life history that may be partially shaped by habitat availability and connectivity. Given these results, we propose a conceptual model that links habitat availability and connectivity to migratory diversity and predict a positive association between them. This updated framework provides a cohesive basis for understanding lake sturgeon migratory behavior across variable ecological contexts in the Laurentian Great Lakes and will help promote future research to refute or refine the model.

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Letters","active":true,"publicationSubtype":{"id":10}},"title":"Zircon as a pathfinder to REE mineralization","docAbstract":"

Carbonatites and alkaline silicate rocks are major primary sources of the rare earth elements (REE) and other critical metals, such as Nb. Despite the economic significance of these rocks, their formation and the processes of REE enrichment are poorly understood. Here, statistical analysis of a global dataset demonstrates that zircon geochemistry is a powerful recorder of REE metallogenesis and a potential pathfinder for REE deposits. Zircons from REE and Nb fertile intrusions lack Eu anomalies and have elevated Gd/Yb and Th/Yb, indicating they crystallised from magmas that originated from deep, oxidised and enriched mantle sources. Complexes with Nb enrichment have low U/Nb, reflecting an enriched mantle source, whereas high U/Nb in REE-only fertile intrusions suggest a subduction-metasomatised mantle source. Machine learning models demonstrate high accuracy in classifying zircon from barren and fertile deposits. Classification of detrital zircons shows that REE-enriched deposits correlate with supercontinent assembly, whereas Nb fertile complexes are associated with supercontinent breakup. This approach offers a new, mineral to global scale, petrologic and exploration tool that enhances understanding of REE metallogenesis.

","language":"English","publisher":"European Association of Geochemistry","doi":"10.7185/geochemlet.2540","usgsCitation":"Hillenbrand, I.W., 2025, Zircon as a pathfinder to REE mineralization: Geochemical Perspectives Letters, v. 37, p. 18-23, https://doi.org/10.7185/geochemlet.2540.","productDescription":"6 p.","startPage":"18","endPage":"23","ipdsId":"IP-177435","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":496716,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7185/geochemlet.2540","text":"Publisher Index Page"},{"id":496500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":949957,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70273299,"text":"70273299 - 2025 - Precipitation timing mediates life-stage and population-level associations with climate for an indicator species","interactions":[],"lastModifiedDate":"2026-01-05T15:45:34.395826","indexId":"70273299","displayToPublicDate":"2025-10-23T09:42:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Precipitation timing mediates life-stage and population-level associations with climate for an indicator species","docAbstract":"Global climate change is contributing to declines in biodiversity, although changes vary across geographic regions and species. The iconic greater sage-grouse (Centrocercus urophasianus; sage-grouse) is central to conservation within the North American sagebrush ecosystem, yet its vulnerability to climate effects remains poorly understood. We used hierarchical models to explore weather and climatic influences on sage-grouse across nearly four decades, focusing first on pattern (population change), then process (demographic life stage). We quantified eight indicators of temperature and/or moisture conditions across time lags of 0–1.5 years leading up to current year breeding activities. Sage-grouse population growth tended to increase following above-average growing season precipitation. Precipitation or drought timing influenced whether process effects were positive or negative. More summer and/or fall moisture corresponded with increases in subsequent year brood and adult survival, while concurrent seasonal drought led to reductions in nest survival. Positive concurrent spring drought associations with adult and brood survival were largely outweighed by positive prior year moisture effects. Density-dependence and indirect effects of precipitation through vegetation and forage resource pathways likely contributed to nuanced responses across life stages. Our research improves mechanistic understanding of this indicator species’ sensitivity to climatic factors, while reinforcing the importance of large-scale conservation initiatives for sagebrush ecosystems.","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-20796-y","usgsCitation":"O’Neil, S.T., Lundblad, C.G., Brussee, B.E., Tull, J.C., Casazza, M.L., Small, J.R., Aldridge, C.L., and Coates, P., 2025, Precipitation timing mediates life-stage and population-level associations with climate for an indicator species: Scientific Reports, v. 15, 37051, 19 p., https://doi.org/10.1038/s41598-025-20796-y.","productDescription":"37051, 19 p.","ipdsId":"IP-171093","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498455,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-20796-y","text":"Publisher Index Page"},{"id":498322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2025-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lundblad, Carl Gregory 0000-0001-7925-9055","orcid":"https://orcid.org/0000-0001-7925-9055","contributorId":346421,"corporation":false,"usgs":true,"family":"Lundblad","given":"Carl","email":"","middleInitial":"Gregory","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brussee, Brianne E.","contributorId":364830,"corporation":false,"usgs":false,"family":"Brussee","given":"Brianne","middleInitial":"E.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":953276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tull, John Christopher 0000-0002-0680-008X","orcid":"https://orcid.org/0000-0002-0680-008X","contributorId":364832,"corporation":false,"usgs":true,"family":"Tull","given":"John","middleInitial":"Christopher","affiliations":[{"id":41166,"text":"Southwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":953277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L.","contributorId":364834,"corporation":false,"usgs":false,"family":"Casazza","given":"Michael","middleInitial":"L.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":953278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Small, Justin R.","contributorId":364835,"corporation":false,"usgs":false,"family":"Small","given":"Justin","middleInitial":"R.","affiliations":[{"id":85566,"text":"NDOW","active":true,"usgs":false}],"preferred":false,"id":953279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":953280,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Coates, Peter S. 0000-0003-2672-9994","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":352181,"corporation":false,"usgs":true,"family":"Coates","given":"Peter S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953281,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}