{"pageNumber":"11","pageRowStart":"250","pageSize":"25","recordCount":10447,"records":[{"id":70263165,"text":"70263165 - 2025 - Prairie Falcon (Falco mexicanus) abundance in a National Conservation Area in Idaho has increased since the 1970s–1990s","interactions":[],"lastModifiedDate":"2025-01-30T14:47:32.073383","indexId":"70263165","displayToPublicDate":"2025-01-28T08:43:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Prairie Falcon (Falco mexicanus) abundance in a National Conservation Area in Idaho has increased since the 1970s–1990s","docAbstract":"

The Morley Nelson Snake River Birds of Prey National Conservation Area (NCA), in southwestern Idaho, USA supports a large population of breeding Prairie Falcons (Falco mexicanus). Abundance of Prairie Falcons in the NCA was previously monitored in 1976–1978 and 1990–1994. That research indicated maximum counts for each period in 1976 and 1992 and a possible population decline across that time span. We assessed the abundance and nesting success of Prairie Falcons in the NCA in 2002–2003 and 2019–2021, and we compared results to data from before 2000 to assess possible population change. Number of nesting pairs increased over 45 years from peak counts of 206, 193, and 217 in the 1970s, 1990s, and early 2000s, respectively, to 257 in 2021. Increases were not concentrated in one region, but widely distributed across the study area. Rates of nesting success in 2002–2003 and 2019–2021 averaged 57 ± 11.8% (SD) at 49.8 ± 3.3 nests observed each year and did not differ from pre-2000 rates. Finally, our analysis showed that in all 10 years in which a full census was conducted, a sampling approach to surveys would have been effective at estimating the number of falcons nesting within the NCA. Prairie Falcons are of conservation concern because of possible population declines in parts of their range. These results illustrate an area with apparently increasing numbers of this important species and highlight the importance of long-term surveys for tracking population fluctuations and the value of a national conservation area for providing raptor breeding habitat.

","language":"English","publisher":"The Raptor Research Foundation, Inc.","doi":"10.3356/jrr2395","usgsCitation":"Alsup, S., Belthoff, J.R., Steenhof, K., Kochert, M.N., and Katzner, T., 2025, Prairie Falcon (Falco mexicanus) abundance in a National Conservation Area in Idaho has increased since the 1970s–1990s: Journal of Raptor Research, v. 59, no. 1, p. 1-13, https://doi.org/10.3356/jrr2395.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-160247","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr2395","text":"Publisher Index Page"},{"id":481494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":925727,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263279,"text":"70263279 - 2025 - Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach","interactions":[],"lastModifiedDate":"2025-02-04T14:46:30.055812","indexId":"70263279","displayToPublicDate":"2025-01-25T08:40:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach","title":"Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach","docAbstract":"

Wild waterfowl are considered to be the reservoir of avian influenza, but their distinct annual life cycle stages and their contribution to disease dynamics are not well understood. Studies of the highly pathogenic avian influenza (HPAI) virus have primarily focused on wintering grounds, where human and poultry densities are high year-round, compared with breeding grounds, where migratory waterfowl are more isolated. Few if any studies of avian influenza have focused on the molting stage where wild waterfowl congregate in a few selected wetlands and undergo the simultaneous molt of wing and tail feathers during a vulnerable flightless period. The molting stage may be one of the most important periods for the perpetuation of the disease in waterfowl, since during this stage, immunologically naïve young birds and adults freely intermix prior to the fall migration. Our study incorporated empirical data from virological field samplings and markings of Swan Geese (Anser cygnoides) on their breeding grounds in Mongolia in an integrated agent-based model (ABM) that included susceptible–exposed–infectious–recovered (SEIR) states. Our ABM results provided unique insights and indicated that individual movements between different molting wetlands and the transmission rate were the key predictors of HPAI perpetuation. While wetland extent was not a significant predictor of HPAI perpetuation, it had a large effect on the number of infections and associated death toll. Our results indicate that conserving undisturbed habitats for wild waterfowl during the molting stage of the breeding season could reduce the risk of HPAI transmission.

","language":"English","publisher":"MDPI","doi":"10.3390/v17020196","usgsCitation":"Takekawa, J., Choi, C., Prosser, D.J., Sullivan, J.D., Batbayar, N., and Xiao, X., 2025, Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach: Viruses, v. 17, no. 2, 196, 20 p., https://doi.org/10.3390/v17020196.","productDescription":"196, 20 p.","ipdsId":"IP-171183","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":487618,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v17020196","text":"Publisher Index Page"},{"id":481653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mongolia, Russia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 114.5,\n 50.33\n ],\n [\n 114.5,\n 49.25\n ],\n [\n 116,\n 49.25\n ],\n [\n 116,\n 50.33\n ],\n [\n 114.5,\n 50.33\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Takekawa, John","contributorId":330942,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","affiliations":[{"id":32931,"text":"USGS - Retired","active":true,"usgs":false}],"preferred":false,"id":926134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Chang-Yong","contributorId":181784,"corporation":false,"usgs":false,"family":"Choi","given":"Chang-Yong","email":"","affiliations":[],"preferred":false,"id":926135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":926137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Batbayar, Nyambaya","contributorId":181791,"corporation":false,"usgs":false,"family":"Batbayar","given":"Nyambaya","affiliations":[],"preferred":false,"id":926138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xiao, Xiangming","contributorId":181792,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","email":"","affiliations":[],"preferred":false,"id":926139,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70265809,"text":"70265809 - 2025 - Combining multisite tsunami and deformation modeling to constrain slip distributions for the 1700 C.E. Cascadia earthquake","interactions":[],"lastModifiedDate":"2025-04-16T14:18:07.747942","indexId":"70265809","displayToPublicDate":"2025-01-24T09:13:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Combining multisite tsunami and deformation modeling to constrain slip distributions for the 1700 C.E. Cascadia earthquake","docAbstract":"

A major earthquake ruptured the Cascadia subduction zone (CSZ) on 26 January 1700. Key paleoseismic evidence associated with this event include tsunami deposits, stratigraphic evidence of coastal coseismic subsidence, written Japanese records of a tsunami unaccompanied by earthquake shaking, and margin‐wide turbidites found offshore and in lacustrine environments. Despite this wealth of independent clues, important details about this event remain unresolved. Dating uncertainties do not conclusively establish whether the proxies are from one earthquake or a sequence of them, and we have limited knowledge of the likely slip distributions of the event or events. Here, we use a catalog of 37,500 candidate synthetic ruptures between Mw 7.8 and 9.2 and simulate their resulting coseismic deformation and tsunami inundation. Each model is then compared against estimated Japan tsunami arrivals, regional coastal subsidence records, and local paleotsunami deposits mapped at six different coastal marshes and one coastal lake along the CSZ. We find that seven full‐margin ruptures with a median magnitude of Mw 9.1 satisfy all three constraints. We favor one Mw 9.11 model that best matches all site paleoseismic observations and suggests that the Cascadia megathrust slipped up to ∼30 m and must have shallow geodetic coupling. We also find that some sequences composed of three or four ruptures can still satisfy the observations, yet no sequences of two ruptures can. Sequences are differentiated into three groups based on whether they contain a mainshock rupture located in the south (>44° N) or further north. All sequences contain unruptured portions of the megathrust and most contain mainshocks with peak slip above 40 m. The fit of the geologic evidence from sequences is poor in comparison to single‐event models. Therefore, sequences are generally less favored compared to full‐margin events.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240218","usgsCitation":"Small, D., Melgar, D., La Selle, S., and Meigs, A.J., 2025, Combining multisite tsunami and deformation modeling to constrain slip distributions for the 1700 C.E. Cascadia earthquake: Bulletin of the Seismological Society of America, v. 115, no. 2, p. 431-451, https://doi.org/10.1785/0120240218.","productDescription":"21 p.","startPage":"431","endPage":"451","ipdsId":"IP-172408","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":484637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","otherGeospatial":"Cascadia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -128.30849189050252,\n 50.14252629443621\n ],\n [\n -128.30849189050252,\n 39.063748655690205\n ],\n [\n -121.82821545291904,\n 39.063748655690205\n ],\n [\n -121.82821545291904,\n 50.14252629443621\n ],\n [\n -128.30849189050252,\n 50.14252629443621\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Small, David 0000-0003-3606-7664","orcid":"https://orcid.org/0000-0003-3606-7664","contributorId":353460,"corporation":false,"usgs":false,"family":"Small","given":"David","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":933603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melgar, Diego","contributorId":341315,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":933604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":933605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meigs, Andrew J","contributorId":300037,"corporation":false,"usgs":false,"family":"Meigs","given":"Andrew","email":"","middleInitial":"J","affiliations":[{"id":65004,"text":"College of Earth, Ocean and Atmospheric Sciences Oregon State University","active":true,"usgs":false}],"preferred":false,"id":933606,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263409,"text":"70263409 - 2025 - 3D viscoelastic models of slip-deficit rate along the Cascadia subduction zone","interactions":[],"lastModifiedDate":"2025-02-10T15:54:57.939719","indexId":"70263409","displayToPublicDate":"2025-01-23T08:50:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"3D viscoelastic models of slip-deficit rate along the Cascadia subduction zone","docAbstract":"Interseismic deformation in the Pacific Northwest is constrained by the horizontal crustal velocity field derived from the Global Positioning System (GPS) in addition to vertical rates derived from GPS, leveling, and tide gauge measurements. Such measurements were folded in to deformation models of fault slip rates as part of the 2023 National Seismic Hazard Model (NSHM) update. Here I build upon one of the contributing models, the viscoelastic earthquake-cycle model of Pollitz [2022]. This model permits inclusion of effects of time-dependent viscoelastic relaxation within earthquake cycles (i.e., ‘ghost transients’) and laterally variable elastic and/or ductile material properties. I lever-age these capabilities to incorporate the Cascadia megathrust into Western U.S.-wide deformation models in which crustal fault slip rates are estimated simultaneously with slip deficit rates along the interplate boundary between the descending Juan de Fuca plate and North American plate. This effort includes construction of a margin-wide model of viscoelastic structure founded on the Slab 2.0 model and probes different models of the ductile properties of the surrounding oceanic asthenosphere, continental lower crust, and mantle asthenosphere. This results in new estimates of the distribution of slip deficit rate along the ∼ 1000 km long margin, highlights the importance of correcting for glacial-isostatic adjustment effects, and permits assessment of sensitivity of results to assumed ductile properties.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB029847","usgsCitation":"Pollitz, F., 2025, 3D viscoelastic models of slip-deficit rate along the Cascadia subduction zone: Journal of Geophysical Research: Solid Earth, v. 130, no. 1, e2024JB029847, 22 p., https://doi.org/10.1029/2024JB029847.","productDescription":"e2024JB029847, 22 p.","ipdsId":"IP-168142","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126.21988785109721,\n 48.53762428891605\n ],\n [\n -126.21988785109721,\n 40.250023472885545\n ],\n [\n -122.48356241942076,\n 40.250023472885545\n ],\n [\n -122.48356241942076,\n 48.53762428891605\n ],\n [\n -126.21988785109721,\n 48.53762428891605\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926883,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70262877,"text":"70262877 - 2025 - The relative influence of geographic and environmental factors on rare plant translocation outcomes","interactions":[],"lastModifiedDate":"2025-03-11T15:21:38.484337","indexId":"70262877","displayToPublicDate":"2025-01-22T08:20:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The relative influence of geographic and environmental factors on rare plant translocation outcomes","docAbstract":"
  1. Conservation translocations are an established method for reducing the extinction risk of plant species through intentional movement within or outside the indigenous range. Unsuitable environmental conditions at translocation recipient sites and a lack of understanding of species–environment relationships are often identified as critical barriers to translocation success. However, previous syntheses have drawn these inferences from analyses of qualitative feedback rather than quantitative environmental data.
  2. In this study, we use a data set of 235 translocations conducted in the US to understand the influences of geographic and environmental factors on three metrics of translocation success: population persistence, next-generation recruitment and next-generation maturity. We use random forest models to quantify the relative importance of geographic and environmental factors that characterize dissimilarity between source and recipient locations, the position of recipient sites relative to species' ranges and niche metrics derived from these ranges. We also compare the importance of these variables with more conventional predictors (e.g. founder population size).
  3. Our results indicate that geographic and environmental variables can be as insightful as conventional variables for predicting plant translocation outcomes. The climate suitability of recipient sites, estimated using species distribution models, was the strongest relative predictor of whether a population persisted, with populations situated in more suitable climates displaying greater persistence. Next-generation recruitment and maturity were best predicted by niche metrics; species in more biotically limiting environments, including tropical regions and soils with high relative nutrient retention, as well as species with the broadest precipitation niches, were the least likely to attain these next-generation benchmarks.
  4. Synthesis and applications. Our study is one of the first to quantify the important role of spatial and climatic factors in rare plant translocation outcomes. We provide a novel geographic and environmental perspective on outcomes in plant translocations and demonstrate opportunities to improve translocation success not only by adhering to established best practice guidelines but also by integrating spatial modelling approaches into planning and management processes.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14855","usgsCitation":"Bellis, J., Albrecht, M.A., Maschinski, J., Dalrymple, S., Keir, M.J., Chambers, T., Possley, J., Adkins, E.D., Parsons, E.W., Kunz, M., Radcliffe, C., Coffey, E., Kaye, T., Peterson, C.L., Aaron, D., Herron, S., Menges, E., Bell, T.J., Coppoletta, M., Elam, C., Kathryn, M.A., Williamson, P., Boensch, D., Bontrager, M., Cooper, B., Frade, N., Gordon, D.R., Link, S.O., Littlefield, T., Murray, S., O’Dell, R., Pavlovic, N.B., Reemts, C.M., Taylor, D.D., Titus, J.H., Titus, P.J., Stanley, T., and Heineman, K., 2025, The relative influence of geographic and environmental factors on rare plant translocation outcomes: Journal of Applied Ecology, v. 62, no. 3, p. 638-650, https://doi.org/10.1111/1365-2664.14855.","productDescription":"13 p.","startPage":"638","endPage":"650","ipdsId":"IP-170384","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489722,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14855","text":"Publisher Index Page"},{"id":481263,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Bellis, Joe 0000-0003-2787-3736","orcid":"https://orcid.org/0000-0003-2787-3736","contributorId":330756,"corporation":false,"usgs":false,"family":"Bellis","given":"Joe","email":"","affiliations":[{"id":79001,"text":"Missouri Botanical Garden; Center for Plant Conservation","active":true,"usgs":false}],"preferred":false,"id":925103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Albrecht, Matthew A. 0000-0002-1079-1630","orcid":"https://orcid.org/0000-0002-1079-1630","contributorId":213559,"corporation":false,"usgs":false,"family":"Albrecht","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":38790,"text":"Missouri Botanical Garden","active":true,"usgs":false}],"preferred":false,"id":925146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maschinski, Joyce","contributorId":213561,"corporation":false,"usgs":false,"family":"Maschinski","given":"Joyce","email":"","affiliations":[{"id":38792,"text":"San Diego Zoo Global","active":true,"usgs":false}],"preferred":false,"id":925105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dalrymple, Sarah E.","contributorId":351155,"corporation":false,"usgs":false,"family":"Dalrymple","given":"Sarah E.","affiliations":[],"preferred":false,"id":928023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keir, Matthew J.","contributorId":330757,"corporation":false,"usgs":false,"family":"Keir","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":925106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chambers, Timothy","contributorId":330787,"corporation":false,"usgs":false,"family":"Chambers","given":"Timothy","email":"","affiliations":[{"id":79018,"text":"U.S Army Natural Resources Program on Oahu","active":true,"usgs":false}],"preferred":false,"id":925143,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Possley, Jennifer","contributorId":213571,"corporation":false,"usgs":false,"family":"Possley","given":"Jennifer","email":"","affiliations":[{"id":38796,"text":"Fairchild Tropical Botanic Garden, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":925110,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Adkins, Edith D.","contributorId":330786,"corporation":false,"usgs":false,"family":"Adkins","given":"Edith","email":"","middleInitial":"D.","affiliations":[{"id":64253,"text":"University of Hawaiʻi at Mānoa","active":true,"usgs":false}],"preferred":false,"id":925142,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parsons, Elliott W.","contributorId":330758,"corporation":false,"usgs":false,"family":"Parsons","given":"Elliott","email":"","middleInitial":"W.","affiliations":[{"id":79002,"text":"University of Hawai‘i at \nMānoa","active":true,"usgs":false}],"preferred":false,"id":925107,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kunz, Michael","contributorId":213565,"corporation":false,"usgs":false,"family":"Kunz","given":"Michael","affiliations":[{"id":38795,"text":"North Carolina Botanical Garden, The University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":925109,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Radcliffe, Carrie","contributorId":351156,"corporation":false,"usgs":false,"family":"Radcliffe","given":"Carrie","affiliations":[],"preferred":false,"id":928024,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Coffey, Emily","contributorId":351157,"corporation":false,"usgs":false,"family":"Coffey","given":"Emily","affiliations":[],"preferred":false,"id":928025,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kaye, Thomas N.","contributorId":330759,"corporation":false,"usgs":false,"family":"Kaye","given":"Thomas N.","affiliations":[{"id":79003,"text":"Corvallis; Oregon State University","active":true,"usgs":false}],"preferred":false,"id":925108,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Peterson, Cheryl L.","contributorId":213570,"corporation":false,"usgs":false,"family":"Peterson","given":"Cheryl","email":"","middleInitial":"L.","affiliations":[{"id":38800,"text":"Bok Tower Gardens, Lake Wales, FL","active":true,"usgs":false}],"preferred":false,"id":928026,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Aaron, David","contributorId":83809,"corporation":false,"usgs":false,"family":"Aaron","given":"David","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":928027,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Herron, Sterling A.","contributorId":351158,"corporation":false,"usgs":false,"family":"Herron","given":"Sterling A.","affiliations":[],"preferred":false,"id":928028,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Menges, Eric","contributorId":330760,"corporation":false,"usgs":false,"family":"Menges","given":"Eric","affiliations":[{"id":17991,"text":"Archbold Biological Station","active":true,"usgs":false}],"preferred":false,"id":925111,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Bell, Timothy J.","contributorId":181524,"corporation":false,"usgs":false,"family":"Bell","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":925124,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Coppoletta, Michelle","contributorId":247686,"corporation":false,"usgs":false,"family":"Coppoletta","given":"Michelle","email":"","affiliations":[{"id":49613,"text":"USDA Forest Service, Sierra Cascade Province Ecology Program, Quincy, CA, 95971, USA","active":true,"usgs":false}],"preferred":false,"id":925121,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Elam, Caityn","contributorId":351159,"corporation":false,"usgs":false,"family":"Elam","given":"Caityn","affiliations":[],"preferred":false,"id":928029,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Kathryn, Mceachern A.","contributorId":31233,"corporation":false,"usgs":true,"family":"Kathryn","given":"Mceachern","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":928030,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Williamson, Paula","contributorId":330770,"corporation":false,"usgs":false,"family":"Williamson","given":"Paula","email":"","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":928031,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Boensch, 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R.","contributorId":289410,"corporation":false,"usgs":false,"family":"Gordon","given":"Doria","email":"","middleInitial":"R.","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":928036,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Link, Steven O.","contributorId":330779,"corporation":false,"usgs":false,"family":"Link","given":"Steven","email":"","middleInitial":"O.","affiliations":[{"id":79014,"text":"Energy and Environmental Sciences Program, Oregon","active":true,"usgs":false}],"preferred":false,"id":928037,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Littlefield, Tara","contributorId":351163,"corporation":false,"usgs":false,"family":"Littlefield","given":"Tara","affiliations":[],"preferred":false,"id":928038,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Murray, Shelia","contributorId":351164,"corporation":false,"usgs":false,"family":"Murray","given":"Shelia","affiliations":[],"preferred":false,"id":928039,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"O’Dell, Ryan","contributorId":346411,"corporation":false,"usgs":false,"family":"O’Dell","given":"Ryan","email":"","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":928040,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":928041,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Reemts, Charlotte M.","contributorId":330781,"corporation":false,"usgs":false,"family":"Reemts","given":"Charlotte","email":"","middleInitial":"M.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":928042,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Taylor, David D.","contributorId":330783,"corporation":false,"usgs":false,"family":"Taylor","given":"David","email":"","middleInitial":"D.","affiliations":[{"id":79015,"text":"Daniel Boone National Forest","active":true,"usgs":false}],"preferred":false,"id":928043,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Titus, Jonathan H.","contributorId":330784,"corporation":false,"usgs":false,"family":"Titus","given":"Jonathan","email":"","middleInitial":"H.","affiliations":[{"id":79016,"text":"Science Center State University of New York","active":true,"usgs":false}],"preferred":false,"id":928044,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Titus, Priscilla J.","contributorId":330785,"corporation":false,"usgs":false,"family":"Titus","given":"Priscilla","email":"","middleInitial":"J.","affiliations":[{"id":79017,"text":"Freelance Ecologist","active":true,"usgs":false}],"preferred":false,"id":928045,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Stanley, Tina A.","contributorId":351165,"corporation":false,"usgs":false,"family":"Stanley","given":"Tina A.","affiliations":[],"preferred":false,"id":928046,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Heineman, Katherine D.","contributorId":330799,"corporation":false,"usgs":false,"family":"Heineman","given":"Katherine D.","affiliations":[],"preferred":false,"id":925145,"contributorType":{"id":1,"text":"Authors"},"rank":38}]}} ,{"id":70264607,"text":"70264607 - 2025 - Recovering the American horseshoe crab through a commitment to collaboration","interactions":[],"lastModifiedDate":"2025-06-23T15:19:10.816449","indexId":"70264607","displayToPublicDate":"2025-01-22T07:53:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Recovering the American horseshoe crab through a commitment to collaboration","docAbstract":"

American horseshoe crab Limulus polyphemus populations are recovering because of cooperation among diverse stakeholders and data-driven collective action. Limulus polyphemus is one of four extant species facing common threats, and conservation successes and limitations hold lessons applicable to all the species. We review the advancement in management and monitoring over recent decades, discuss the current population status throughout the species’ range, and describe the potential future status and recovery based on recent assessments. In retrospect, L. polyphemus conservation has followed the frameworks promoted by the International Union for the Conservation of Nature: mobilize networks to increase assessment capacity, engage diverse stakeholders, measure impacts, and amplify successes. Data show significantly increased populations in the Delaware Bay region and improved status in the Northeast. The average abundance of adults in Delaware Bay over the recent decade (2013–2022) is more than twice that in the previous decade (2003–2012). In 2022, the abundances for adult females and males in the Delaware Bay population were estimated to be 16 million and 40 million, respectively. However, reversing persistent poor conditions in some regions and mitigating the widespread threat of habitat loss from coastal development and sea level rise will rely on collaboration among diverse stakeholders to build upon the current conservation successes. Scientists and conservationists working on the horseshoe crab species indigenous to Asia are advancing along a similar track, establishing a monitoring network and mobilizing diverse stakeholders. However, there is a need for capacity building for robust assessment of the species in Asia to measure the impact of conservation, just as that need remains unmet for L. polyphemus in the Gulf of Mexico. The importance of partnerships and collaborations is apparent in their absence. The regions where partnerships and collaborations among researchers, conservationists, and agency scientists do not exist are those where the capacity for monitoring and assessment is notably lacking.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/fshmag/vuae021","usgsCitation":"Smith, D.R., Botton, M., and Shin, P., 2025, Recovering the American horseshoe crab through a commitment to collaboration: Fisheries, v. 50, no. 6, p. 255-267, https://doi.org/10.1093/fshmag/vuae021.","productDescription":"13 p.","startPage":"255","endPage":"267","ipdsId":"IP-168316","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":483452,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.4111673628184,\n 45.59557363731551\n ],\n [\n -72.79604028478602,\n 43.2885548171144\n ],\n [\n -79.18376394472423,\n 33.98021634745319\n ],\n [\n -87.16366759369707,\n 30.59299121506301\n ],\n [\n -91.00483741761445,\n 19.98230416811475\n ],\n [\n -86.10209271501805,\n 20.250947939742574\n ],\n [\n -86.48390972813229,\n 21.472770822927\n ],\n [\n -80.01996169377958,\n 25.202938179984592\n ],\n [\n -66.81672247791515,\n 44.529009105659156\n ],\n [\n -68.4111673628184,\n 45.59557363731551\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"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":930940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Botton, Mark","contributorId":352360,"corporation":false,"usgs":false,"family":"Botton","given":"Mark","affiliations":[{"id":84189,"text":"Fordham University","active":true,"usgs":false}],"preferred":false,"id":930941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shin, Paul","contributorId":352361,"corporation":false,"usgs":false,"family":"Shin","given":"Paul","affiliations":[{"id":84190,"text":"University of Hong Kong,","active":true,"usgs":false}],"preferred":false,"id":930942,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70262530,"text":"70262530 - 2025 - Considering multiecosystem trade-offs is critical when leveraging systematic conservation planning for restoration","interactions":[],"lastModifiedDate":"2025-01-21T16:50:31.327281","indexId":"70262530","displayToPublicDate":"2025-01-17T10:47:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Considering multiecosystem trade-offs is critical when leveraging systematic conservation planning for restoration","docAbstract":"

Conservationists are increasingly leveraging systematic conservation planning (SCP) to inform restoration actions that enhance biodiversity. However, restoration frequently drives ecological transformations at local scales, potentially resulting in trade-offs among wildlife species and communities. The Conservation Interactions Principle (CIP), coined more than 15 years ago, cautions SCP practitioners regarding the importance of jointly and fully evaluating conservation outcomes across the landscape over long timeframes. However, SCP efforts that guide landscape restoration have inadequately addressed the CIP by failing to tabulate the full value of the current ecological state. The increased application of SCP to inform restoration, reliance on increasingly small areas to sustain at-risk species and ecological communities, ineffective considerations for the changing climate, and increasing numbers of at-risk species, are collectively intensifying the need to consider unintended consequences when prioritizing sites for restoration. Improper incorporation of the CIP in SCP may result in inefficient use of conservation resources through opportunity costs and/or conservation actions that counteract one another. We suggest SCP practitioners can avoid these consequences through a more detailed accounting of the current ecological benefits to better address the CIP when conducting restoration planning. Specifically, forming interdisciplinary teams with expertise in the current and desired ecosystem states at candidate conservation sites; improving data availability; modeling and computational advancements; and applying structured decision-making approaches can all improve the integration of the CIP in SCP efforts. Improved trade-off assessment, spanning multiple ecosystems or states, can facilitate efficient, proactive, and coordinated SCP applications across space and time. In doing so, SCP can effectively guide the siting of restoration actions capable of promoting the full suite of biodiversity in a region.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70020","usgsCitation":"Van Lanen, N.J., Duchardt, C., Pejchar, L., Shyvers, J., and Aldridge, C.L., 2025, Considering multiecosystem trade-offs is critical when leveraging systematic conservation planning for restoration: Global Change Biology, v. 31, no. 1, e70020, 8 p., https://doi.org/10.1111/gcb.70020.","productDescription":"e70020, 8 p.","ipdsId":"IP-164188","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":481026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.70020","text":"Publisher Index Page"},{"id":480835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Lanen, Nicholas J. 0000-0003-0871-0261","orcid":"https://orcid.org/0000-0003-0871-0261","contributorId":302927,"corporation":false,"usgs":true,"family":"Van Lanen","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":924473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duchardt, C.J.","contributorId":349573,"corporation":false,"usgs":false,"family":"Duchardt","given":"C.J.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":924474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pejchar, L.","contributorId":349574,"corporation":false,"usgs":false,"family":"Pejchar","given":"L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":924475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shyvers, J.E.","contributorId":349575,"corporation":false,"usgs":false,"family":"Shyvers","given":"J.E.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":924476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":924477,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264830,"text":"70264830 - 2025 - Timing of and pressure-temperature constraints on deformation in the Toxaway dome, eastern Blue Ridge: Evidence for continuous deformation from the Neoacadian orogeny to the Alleghanian orogeny","interactions":[],"lastModifiedDate":"2025-03-26T15:44:33.595629","indexId":"70264830","displayToPublicDate":"2025-01-17T10:31:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Timing of and pressure-temperature constraints on deformation in the Toxaway dome, eastern Blue Ridge: Evidence for continuous deformation from the Neoacadian orogeny to the Alleghanian orogeny","docAbstract":"

Many mountain belts are built through repeated collision, and in the case of orogenies closely spaced in time, determining when one orogeny ends and another begins can be challenging. The southern Appalachian mountains were formed by three mountain-building events closely spaced in time, including the Taconic (ca. 480–440 Ma), Neoacadian (ca. 375–340 Ma), and Alleghanian (ca. 330–265 Ma) orogenies. Notably, the end of the Neoacadian and the beginning of the Alleghanian are only separated by ~10 m.y., and some published dates record deformation and metamorphism in the eastern Blue Ridge during this interval, blurring the boundary between these two discrete events.

The Toxaway dome, located along the North Carolina–South Carolina, USA, border at the eastern edge of the eastern Blue Ridge, is a structural dome cored by Mesoproterozoic Toxaway Gneiss and surrounded by the younger Tallulah Falls Formation. Previous ages constraints from the Toxaway dome (343 and 338 Ma U-Pb zircon ages) make it an ideal location to explore whether there was continuous deformation during this period of supposed quiescence between the Neoacadian and Alleghanian orogenies. We used optical microscopy and electron backscatter diffraction in quartz to determine deformation temperatures, thermobarometry to determine metamorphic pressure-temperature conditions, and monazite petrochronology to determine the timing of deformation. Quartz and feldspar recrystallization fabrics parallel to dome-defining fabrics indicate deformation occurred at amphibolite-facies conditions, which is corroborated by our pressure-temperature estimates of 0.67–0.8 ± 0.12 GPa and 661–689 ± 25 °C. Monazite grains that record the timing of reactions of garnet growth and breakdown range from 342 ± 4.8 Ma to 296 ± 10.8 Ma, bridging the interval between the Neoacadian and Alleghanian orogenies. Three samples from the nearby Tallulah Falls dome, which occupies a similar structural position along the edge of the eastern Blue Ridge in Georgia, record monazite dates of 334 ± 4.2 Ma to 304 ± 4.8 Ma, indicating there was tectonic activity in this region before the commonly defined beginning of the Alleghanian orogeny. We propose (1) there was no period of quiescence between the Neoacadian and Alleghanian orogenies in the eastern Blue Ridge, and (2) deformation during this time was at higher temperatures and pressures than previously reported.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02802.1","usgsCitation":"Levine, J., Powell, N.E., Casale, G., and Martin, C., 2025, Timing of and pressure-temperature constraints on deformation in the Toxaway dome, eastern Blue Ridge: Evidence for continuous deformation from the Neoacadian orogeny to the Alleghanian orogeny: Geosphere, v. 21, no. 2, p. 179-205, https://doi.org/10.1130/GES02802.1.","productDescription":"27 p.","startPage":"179","endPage":"205","ipdsId":"IP-166597","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":488667,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02802.1","text":"Publisher Index Page"},{"id":483881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","otherGeospatial":"Tallulah Fault Dome, Toxaway Dome","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.12768324273705,\n 36.09919315340798\n ],\n [\n -84.53940674334677,\n 36.09919315340798\n ],\n [\n -84.53940674334677,\n 33.93940700100836\n ],\n [\n -82.12768324273705,\n 33.93940700100836\n ],\n [\n -82.12768324273705,\n 36.09919315340798\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Levine, Jamie S.F. 0000-0003-4100-6428","orcid":"https://orcid.org/0000-0003-4100-6428","contributorId":352688,"corporation":false,"usgs":false,"family":"Levine","given":"Jamie S.F.","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":932007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Nicholas Edwin 0000-0003-3654-8759","orcid":"https://orcid.org/0000-0003-3654-8759","contributorId":304622,"corporation":false,"usgs":true,"family":"Powell","given":"Nicholas","email":"","middleInitial":"Edwin","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":932008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casale, Gabriele 0000-0003-1371-753X","orcid":"https://orcid.org/0000-0003-1371-753X","contributorId":192726,"corporation":false,"usgs":false,"family":"Casale","given":"Gabriele","email":"","affiliations":[{"id":27675,"text":"Appalachian State University, Boone, NC","active":true,"usgs":false}],"preferred":false,"id":932009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Claire P. 0000-0001-8813-5070","orcid":"https://orcid.org/0000-0001-8813-5070","contributorId":352689,"corporation":false,"usgs":false,"family":"Martin","given":"Claire P.","affiliations":[{"id":84283,"text":"StraboSpot, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":932010,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262495,"text":"70262495 - 2025 - Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA","interactions":[],"lastModifiedDate":"2025-01-17T16:06:37.26906","indexId":"70262495","displayToPublicDate":"2025-01-16T10:01:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA","docAbstract":"

Forecasting water levels in complex ecosystems like wetlands can support effective water resource management, ecological conservation, and understanding surface and groundwater hydrology. Predictive models can be used to simulate the complex interactions among natural processes, hydrometeorological factors, and human activities. The Greater Everglades in the USA is a well-known example of an ecosystem where complexity has motivated adoption of machine learning algorithms in water level prediction studies. This paper aims to contribute to extending existing machine learning algorithms by integrating spatiotemporal data with deep-learning algorithms in the forecasting process. In this study, a deep-learning model is developed to predict water levels on a regional scale, covering a large area of approximately 9,138 square kilometers in the Everglades ecosystem. This model has the architecture of Convolutional Long Short-Term Memory which can deal with spatiotemporal data by capturing both spatial and temporal dependencies in the training data. The forecasting capabilities of this model (referred to as the global model) are assessed by comparing the global model to two Artificial Neural Networks developed at two different gaging stations, referred to here as local models. One local model is developed at a gaging station directly influenced by nearby water control structures, whereas the other is developed at a gaging station located farther away from these structures. By leveraging data from the Everglades Depth Estimation Network spanning from January 2002 to May 2023, the global and local models were trained to forecast water levels with a two-day lead time. Our findings suggest that both the global and local models perform with approximately the same level of accuracy, with Mean Absolute Relative Error values ranging from 0.38% to 1.4% at the selected stations. The developed global model has demonstrated strong potential as a standalone forecasting tool for the entire study area in the Everglades and could eliminate the need for developing multiple local models. This finding also highlights how machine learning can capture complex spatial and temporal relationships to generate accurate water level predictions on a regional scale.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.132195","usgsCitation":"Bassah, R., Corzo Perez, G.A., Bhattacharya, B., Haider, S., Swain, E.D., and Aumen, N., 2025, Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA: Journal of Hydrology, v. 652, 132195, 17 p., https://doi.org/10.1016/j.jhydrol.2024.132195.","productDescription":"132195, 17 p.","ipdsId":"IP-165910","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":489132,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2024.132195","text":"Publisher Index Page"},{"id":480739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.15272667125285,\n 26.85302740104224\n ],\n [\n -81.52356680957865,\n 26.85302740104224\n ],\n [\n -81.52356680957865,\n 25.136407133512265\n ],\n [\n -80.15272667125285,\n 25.136407133512265\n ],\n [\n -80.15272667125285,\n 26.85302740104224\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"652","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bassah, Raidan","contributorId":349546,"corporation":false,"usgs":false,"family":"Bassah","given":"Raidan","affiliations":[{"id":49677,"text":"IHE Delft Institute for Water Education","active":true,"usgs":false}],"preferred":false,"id":924376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corzo Perez, Gerald A.","contributorId":332614,"corporation":false,"usgs":false,"family":"Corzo Perez","given":"Gerald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":924377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bhattacharya, Biswa 0000-0002-8046-589X","orcid":"https://orcid.org/0000-0002-8046-589X","contributorId":298961,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Biswa","email":"","affiliations":[{"id":49677,"text":"IHE Delft Institute for Water Education","active":true,"usgs":false}],"preferred":false,"id":924378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":924379,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924380,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aumen, Nicholas 0000-0002-5277-2630","orcid":"https://orcid.org/0000-0002-5277-2630","contributorId":223550,"corporation":false,"usgs":true,"family":"Aumen","given":"Nicholas","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":924381,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70267507,"text":"70267507 - 2025 - Accurate simulation of flow through dipping aquifers with MODFLOW 6 using enhanced cell connectivity","interactions":[],"lastModifiedDate":"2025-05-28T14:18:54.211849","indexId":"70267507","displayToPublicDate":"2025-01-16T09:15:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Accurate simulation of flow through dipping aquifers with MODFLOW 6 using enhanced cell connectivity","docAbstract":"

In simulations of groundwater flow through dipping aquifers, layers of model cells are often “deformed” to follow the top and bottom elevations of the aquifers. When this approach is used in MODFLOW, adjacent cells within the same model layer are vertically offset from one another, and the standard conductance-based (two-point) formulation for flow between cells does not rigorously account for these offsets. The XT3D multi-point flow formulation in MODFLOW 6 is designed to account for geometric irregularities in the grid, including vertical offsets, and to provide accurate results for both isotropic and anisotropic groundwater flow. A recent study evaluated the performance of the standard formulation and XT3D using a simple, synthetic benchmark model of a steeply dipping aquifer. Although XT3D generally improved the accuracy of flow simulations relative to the standard formulation as expected, neither formulation produced accurate flows in cases that involved large vertical offsets. In this paper, we explain that the inability of XT3D to produce accurate flows in the steeply dipping aquifer benchmark was not due to an inherent limitation of the flow formulation, but rather to the limited cell connectivity inherent in the most commonly used discretization packages in MODFLOW 6. Furthermore, we demonstrate that XT3D is able to produce the expected accuracy when adequate cell connectivity is introduced using MODFLOW's unstructured grid type and the aquifer is discretized vertically using at least two model layers.

","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13459","usgsCitation":"Provost, A.M., Bardot, K., Langevin, C.D., and McCallum, J., 2025, Accurate simulation of flow through dipping aquifers with MODFLOW 6 using enhanced cell connectivity: Groundwater, v. 63, no. 3, p. 399-408, https://doi.org/10.1111/gwat.13459.","productDescription":"10 p.","startPage":"399","endPage":"408","ipdsId":"IP-167149","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":488469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13459","text":"Publisher Index Page"},{"id":486638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Provost, Alden M. 0000-0002-4443-1107 aprovost@usgs.gov","orcid":"https://orcid.org/0000-0002-4443-1107","contributorId":2830,"corporation":false,"usgs":true,"family":"Provost","given":"Alden","email":"aprovost@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":938448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bardot, Kerry","contributorId":355958,"corporation":false,"usgs":false,"family":"Bardot","given":"Kerry","affiliations":[{"id":84875,"text":"School of Earth Sciences, Univ. of Western Australia","active":true,"usgs":false}],"preferred":false,"id":938449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":938450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCallum, James L.","contributorId":355959,"corporation":false,"usgs":false,"family":"McCallum","given":"James L.","affiliations":[{"id":84875,"text":"School of Earth Sciences, Univ. of Western Australia","active":true,"usgs":false}],"preferred":false,"id":938451,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266052,"text":"70266052 - 2025 - Disease, environment, and pollution: Understanding drivers behind tumour outbreaks in sea turtles","interactions":[],"lastModifiedDate":"2026-01-05T16:28:14.803766","indexId":"70266052","displayToPublicDate":"2025-01-16T08:20:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18743,"text":"One Health Cases","active":true,"publicationSubtype":{"id":10}},"title":"Disease, environment, and pollution: Understanding drivers behind tumour outbreaks in sea turtles","docAbstract":"

Various wildlife diseases of the Anthropocene (the Anthropocene currently has no formal status in the Divisions of Geologic Time https://pubs.usgs.gov/fs/2018/3054/fs20183054.pdf, accessed 4 June 2024) have root causes that are found in human-driven environmental disturbances. Fibropapillomatosis of sea turtles is exemplary of a human-exacerbated wildlife disease, and this case study offers an overview of how we applied a One Health approach and interdisciplinary process to better understand its complexity and highlight the interconnections existing between the health of the environment, and of the wildlife and humans living in it.

Persistent organic pollutants (POPs) have known detrimental effects on human and wildlife health. Ubiquitous in the environment, these degradation-resistant chemicals have a high bioaccumulation potential. This case study describes the interdisciplinary plan and One Health design implemented to measure the role of harmful pollutants in the occurrence of a marine turtle panzootic fibropapillomatosis (FP). FP is a neoplastic disease that causes the growth of debilitating tumours on soft tissues and internal organs. Disease incidence has been increasing significantly throughout the Anthropocene and the reasons are still uncertain. The pervasive effect of pollution in marine coastal habitats has often been hypothesized as a driver of high disease prevalence but never fully tested. Our project combines disease ecology, marine field biology, and chemical toxicology in the attempt to unravel the intricate dynamics behind FP. We here describe the complex process used to develop a methodology to measure levels of harmful seawater pollutants such as polychlorinated biphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs), and organochlorine pesticides (OCPs) in important sea turtle habitats in Florida. The proposed contaminants are among the top priority harmful pollutants, highly carcinogenic in aquatic animals, and bioaccumulate in sea turtles. Although only providing a description of the methodological process, this case study can help future research to apply similar transdisciplinary studies in the context of wildlife diseases. Understanding the effects of anthropogenic-driven pollution activity on ocean health can clarify its consequences to the health of wildlife and humans living in and around that environment.

","language":"English","publisher":"CABI Digital Library","doi":"10.1079/onehealthcases.2025.0001","usgsCitation":"Manes, C., Herren, R., Cooper, E., Lilyestrom, M., Godfrey, D., Kuzoch, M., Carthy, R.R., and Capua, I., 2025, Disease, environment, and pollution: Understanding drivers behind tumour outbreaks in sea turtles: One Health Cases, p. 307-322, https://doi.org/10.1079/onehealthcases.2025.0001.","productDescription":"16 p.","startPage":"307","endPage":"322","ipdsId":"IP-169216","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":484992,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Manes, Costanza","contributorId":340560,"corporation":false,"usgs":false,"family":"Manes","given":"Costanza","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":934453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herren, Richard M.","contributorId":340561,"corporation":false,"usgs":false,"family":"Herren","given":"Richard M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":934454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Evan","contributorId":353754,"corporation":false,"usgs":false,"family":"Cooper","given":"Evan","affiliations":[{"id":84497,"text":"The Sea Turtle Conservancy","active":true,"usgs":false}],"preferred":false,"id":934455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lilyestrom, Margaret","contributorId":353755,"corporation":false,"usgs":false,"family":"Lilyestrom","given":"Margaret","affiliations":[{"id":84497,"text":"The Sea Turtle Conservancy","active":true,"usgs":false}],"preferred":false,"id":934456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godfrey, David","contributorId":353756,"corporation":false,"usgs":false,"family":"Godfrey","given":"David","affiliations":[{"id":84497,"text":"The Sea Turtle Conservancy","active":true,"usgs":false}],"preferred":false,"id":934457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuzoch, Marianne","contributorId":353757,"corporation":false,"usgs":false,"family":"Kuzoch","given":"Marianne","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":934458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carthy, Raymond R. 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":223853,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934459,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Capua, Ilaria","contributorId":340573,"corporation":false,"usgs":false,"family":"Capua","given":"Ilaria","email":"","affiliations":[{"id":37540,"text":"John Hopkins University","active":true,"usgs":false}],"preferred":false,"id":934460,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70262174,"text":"70262174 - 2025 - Enhancing One Health outcomes using decision science and negotiation","interactions":[],"lastModifiedDate":"2025-05-12T15:35:25.133133","indexId":"70262174","displayToPublicDate":"2025-01-12T09:21:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Enhancing One Health outcomes using decision science and negotiation","docAbstract":"

One Health initiatives have advanced zoonotic disease management by recognizing the interconnectedness of three sectors of governance (human, ecosystem, and animal) and by identifying options that can improve full-system health. Although One Health has had many successes, its full realization may be inhibited by a lack of strategies to overcome simultaneous impediments in decision making and governance. Decision impediments that hinder management may include uncertainty, risk, resource limitations, and trade-offs among objectives. Governance impediments arise from disparities in costs and benefits of disease management among sectors. Tools and strategies developed from decision science, collaboration, and negotiation theory can help articulate and overcome coinciding decision and governance impediments and enhance multisectoral One Health initiatives. In cases where collaboration and negotiation are insufficient to address disparities in cross-sector costs and benefits, altering incentive structures might improve disease-specific outcomes and improve the realization of One Health.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2827","usgsCitation":"Cook, J.D., Campbell Grant, E.H., Ginsberg, H., Prosser, D., and Runge, M.C., 2025, Enhancing One Health outcomes using decision science and negotiation: Frontiers in Ecology and the Environment, v. 23, no. 4, e2827, 7 p., https://doi.org/10.1002/fee.2827.","productDescription":"e2827, 7 p.","ipdsId":"IP-152577","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":466653,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2827","text":"Publisher Index Page"},{"id":466415,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Cook, Jonathan D. 0000-0001-7000-8727","orcid":"https://orcid.org/0000-0001-7000-8727","contributorId":291411,"corporation":false,"usgs":true,"family":"Cook","given":"Jonathan","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":923354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":923355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ginsberg, Howard S. 0000-0002-4933-2466","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":347514,"corporation":false,"usgs":false,"family":"Ginsberg","given":"Howard S.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":923356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":923357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":923358,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263711,"text":"70263711 - 2025 - DNA metabarcoding of biocrust lichen-forming fungi detects responses to disturbance and invasion","interactions":[],"lastModifiedDate":"2025-02-20T15:32:50.247921","indexId":"70263711","displayToPublicDate":"2025-01-10T09:28:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1087,"text":"Bryologist","active":true,"publicationSubtype":{"id":10}},"title":"DNA metabarcoding of biocrust lichen-forming fungi detects responses to disturbance and invasion","docAbstract":"

Biocrusts dominated by bryophytes and lichens perform important functions in dryland ecosystems but monitoring these communities can be cost prohibitive over broad scales. We explored DNA metabarcoding as a potential tool for monitoring biocrust lichen communities at a site in Washington (U.S.A.) that had already been surveyed for lichen diversity and community composition. We developed a DNA reference library using the internal transcribed spacer (ITS) region from specimens collected in the study area. We also visually estimated the abundance of lichen species or groups in 22 plots spanning a range of wildfire history and invasion by the exotic annual grass Bromus tectorum. At these plots, we collected bulk lichen community samples for metabarcoding using two approaches: small sample dishes and combined biocrust fragments collected using tweezers from all species observed. We used PacBio sequencing to simultaneously generate ITS barcode sequences for all lichen-forming fungi (LFF) present in the bulk samples, clustering similar sequences into operational taxonomic units (OTUs). Lichen communities detected visually and using DNA metabarcoding both captured a reduction of biocrust diversity and change in community composition related to the abundance of B. tectorum, suggesting that metabarcoding was able to identify the same dominant ecological pattern in biocrust lichens as visual sampling. The tweezer sampling approach captured on average 12.3 more OTUs than the dish approach and some taxa were more consistently detected by one approach or the other. After using the specimen DNA reference library to identify species associated with LFF OTUs, we determined that metabarcoding and visual sampling detected overlapping but different lichen species. Metabarcoding failed to detect common collected taxa, including: Arthonia glebosa, Candelariella spp., Enchylium tenax, Lecanora muralis, Lecidella spp., Leptochidium albociliatum, Massalongia carnosa, and Trapeliopsis glaucopholis. However, metabarcoding detected OTUs not visually observed in the genera Elixia, Lecanora, Lecanoropsis, Bacidina, Pyrenodesmia, Xanthocarpia, Trapelia, Verrucaria, and Verruculopsis. Furthermore, metabarcoding identified greater OTU diversity than expected within Diploschistes muscorum, Trapeliopsis bisorediata, and Trapeliopsis steppica. Our results suggest that metabarcoding alone or combined with visual methods could be a useful approach for monitoring biocrust lichen communities and their response to disturbance, invasion, and potential restoration.

","language":"English","publisher":"American Bryological and Lichenological Society","doi":"10.1639/0007-2745-128.1.001","usgsCitation":"Root, H., McCune, B., Pyke, D.A., and Leavitt, S., 2025, DNA metabarcoding of biocrust lichen-forming fungi detects responses to disturbance and invasion: Bryologist, v. 128, no. 1, p. 1-15, https://doi.org/10.1639/0007-2745-128.1.001.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-170101","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":482269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.64661276397253,\n 46.28743617575407\n ],\n [\n -119.64661276397253,\n 46.20344012415458\n ],\n [\n -119.39667577262671,\n 46.20344012415458\n ],\n [\n -119.39667577262671,\n 46.28743617575407\n ],\n [\n -119.64661276397253,\n 46.28743617575407\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"128","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Root, Heather T 0000-0002-2235-303X","orcid":"https://orcid.org/0000-0002-2235-303X","contributorId":328412,"corporation":false,"usgs":false,"family":"Root","given":"Heather T","affiliations":[{"id":78358,"text":"Weber State University","active":true,"usgs":false}],"preferred":false,"id":927916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCune, Bruce","contributorId":149054,"corporation":false,"usgs":false,"family":"McCune","given":"Bruce","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":927917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":927918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leavitt, Steven D. 0000-0002-5034-9724","orcid":"https://orcid.org/0000-0002-5034-9724","contributorId":346240,"corporation":false,"usgs":false,"family":"Leavitt","given":"Steven D.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":927919,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274200,"text":"70274200 - 2025 - Sampling mass mortality events to enable diagnoses: A protocol using freshwater mussels","interactions":[],"lastModifiedDate":"2026-03-10T14:28:49.750338","indexId":"70274200","displayToPublicDate":"2025-01-10T09:23:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Sampling mass mortality events to enable diagnoses: A protocol using freshwater mussels","docAbstract":"
  1. Many taxa around the globe are threatened by often unexplained mass mortality events (MMEs), which can decimate populations and compromise key ecosystem functions. One example of a highly threatened taxon facing frequent MMEs is freshwater mussels (Unionida).
  2. There has been a recent increase in interest in understanding the causes of freshwater mussel MMEs, but standardised methodologies for how best to respond to them to facilitate diagnoses are unavailable. When an MME is observed, swift and appropriate sample collection is imperative owing to the transient nature of these phenomena.
  3. Here we provide structured guidance that will facilitate rapid and appropriate sampling of MMEs, using freshwater mussels as an example. We set out standardised procedures for sample collection, preparation and preservation.
  4. The procedures we outline will improve our capacity for diagnostic investigations of MMEs and other mortality events, not only in freshwater mussels but also across many other taxa. This, in turn, can inform appropriate management responses.
","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.14480","usgsCitation":"Cossey, D.A., Dennis, M., Richard, J.C., Torre, C.D., McElwain, A., Waller, D.L., Knowles, S., Brian, J.I., Leis, E., Burioli, E.A., and Aldridge, D.C., 2025, Sampling mass mortality events to enable diagnoses: A protocol using freshwater mussels: Methods in Ecology and Evolution, v. 16, no. 2, p. 250-268, https://doi.org/10.1111/2041-210X.14480.","productDescription":"19 p.","startPage":"250","endPage":"268","ipdsId":"IP-167491","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":501097,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14480","text":"Publisher Index Page"},{"id":500959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cossey, Daniel A. 0000-0001-7042-937X","orcid":"https://orcid.org/0000-0001-7042-937X","contributorId":367173,"corporation":false,"usgs":false,"family":"Cossey","given":"Daniel","middleInitial":"A.","affiliations":[{"id":47725,"text":"Department of Zoology, University of Cambridge, Cambridge, UK","active":true,"usgs":false}],"preferred":false,"id":956911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennis, Michelle 0000-0002-9075-2032","orcid":"https://orcid.org/0000-0002-9075-2032","contributorId":310343,"corporation":false,"usgs":false,"family":"Dennis","given":"Michelle","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":956912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richard, Jordan C. 0000-0002-9981-7832","orcid":"https://orcid.org/0000-0002-9981-7832","contributorId":270965,"corporation":false,"usgs":false,"family":"Richard","given":"Jordan","email":"","middleInitial":"C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":956913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Torre, Camilla D. 0000-0003-4851-8215","orcid":"https://orcid.org/0000-0003-4851-8215","contributorId":367174,"corporation":false,"usgs":false,"family":"Torre","given":"Camilla","middleInitial":"D.","affiliations":[{"id":87589,"text":"Department of Biosciences, Università degli Studi di Milano, Milan, Italy","active":true,"usgs":false}],"preferred":false,"id":956914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McElwain, Andrew 0000-0001-8153-2196","orcid":"https://orcid.org/0000-0001-8153-2196","contributorId":310345,"corporation":false,"usgs":false,"family":"McElwain","given":"Andrew","email":"","affiliations":[{"id":67147,"text":"State University of New York Oswego","active":true,"usgs":false}],"preferred":false,"id":956915,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":956916,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":956917,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brian, Joshua I. 0000-0001-9338-4151","orcid":"https://orcid.org/0000-0001-9338-4151","contributorId":367175,"corporation":false,"usgs":false,"family":"Brian","given":"Joshua","middleInitial":"I.","affiliations":[{"id":87590,"text":"Department of Geography, Bush House NE, King's College London, London, UK","active":true,"usgs":false}],"preferred":false,"id":956918,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Leis, Eric","contributorId":179325,"corporation":false,"usgs":false,"family":"Leis","given":"Eric","affiliations":[],"preferred":false,"id":956919,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Burioli, Ericka A. 0000-0003-2666-9258","orcid":"https://orcid.org/0000-0003-2666-9258","contributorId":367176,"corporation":false,"usgs":false,"family":"Burioli","given":"Ericka","middleInitial":"A.","affiliations":[{"id":87591,"text":"IHPE, Univ Montpellier, CNRS, IFREMER, Univ Perpignan Via Domitia, Montpellier, France,","active":true,"usgs":false}],"preferred":false,"id":956920,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Aldridge, David C. 0000-0001-9067-8592","orcid":"https://orcid.org/0000-0001-9067-8592","contributorId":367177,"corporation":false,"usgs":false,"family":"Aldridge","given":"David","middleInitial":"C.","affiliations":[{"id":47725,"text":"Department of Zoology, University of Cambridge, Cambridge, UK","active":true,"usgs":false}],"preferred":false,"id":956921,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70262760,"text":"70262760 - 2025 - Challenges and opportunities for data integration to improve estimation of migratory connectivity","interactions":[],"lastModifiedDate":"2025-02-11T15:46:13.615241","indexId":"70262760","displayToPublicDate":"2025-01-06T10:12:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Challenges and opportunities for data integration to improve estimation of migratory connectivity","docAbstract":"
  1. Understanding migratory connectivity, or the linkage of populations between seasons, is critical for effective conservation and management of migratory wildlife. A growing number of tools are available for understanding where migratory individuals and populations occur throughout the annual cycle. Integration of the diverse measures of migratory movements can help elucidate migratory connectivity patterns with methodology that accounts for differences in sampling design, directionality, effort, precision and bias inherent to each data type.
  2. The R package MigConnectivity was developed to estimate population-specific connectivity and the range-wide strength of those connections. New functions allow users to integrate intrinsic markers, tracking and long-distance reencounter data, collected from the same or different individuals, to estimate population-specific transition probabilities (estTransition) and the range-wide strength of those transition probabilities (estStrength). We used simulation and real-world case studies to explore the challenges and limitations of data integration based on data from three migratory bird species, Painted Bunting (Passerina ciris), Yellow Warbler (Setophaga petechia) and Bald Eagle (Haliaeetus leucocephalus), two of which had bidirectional data.
  3. We found data integration is useful for quantifying migratory connectivity, as single data sources are less likely to be available across the species range. Furthermore, accurate strength estimates can be obtained from either breeding-to-nonbreeding or nonbreeding-to-breeding data. For bidirectional data, integration can lead to more accurate estimates when data are available from all regions in at least one season.
  4. The ability to conduct combined analyses that account for the unique limitations and biases of each data type is a promising possibility for overcoming the challenge of range-wide coverage that has been hard to achieve using single data types. The best-case scenario for data integration is to have data from all regions, especially if the question is range-wide or data are bidirectional. Multiple data types on animal movements are becoming increasingly available and integration of these growing datasets will lead to a better understanding of the full annual cycle of migratory animals.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14467","usgsCitation":"Hostetler, J.A., Cohen, E.B., Bossu, C., Scarpignato, A.L., Ruegg, K., Contina, A., Rushing, C., and Hallworth, M.T., 2025, Challenges and opportunities for data integration to improve estimation of migratory connectivity: Methods in Ecology and Evolution, v. 16, no. 2, p. 362-376, https://doi.org/10.1111/2041-210X.14467.","productDescription":"15 p.","startPage":"362","endPage":"376","ipdsId":"IP-156149","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":480930,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":481032,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14467","text":"Publisher Index Page"}],"volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Hostetler, J. A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":11319,"corporation":false,"usgs":true,"family":"Hostetler","given":"J.","middleInitial":"A.","affiliations":[],"preferred":true,"id":924715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Emily B.","contributorId":57774,"corporation":false,"usgs":false,"family":"Cohen","given":"Emily","email":"","middleInitial":"B.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":924716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bossu, Christen M.","contributorId":349743,"corporation":false,"usgs":false,"family":"Bossu","given":"Christen M.","affiliations":[{"id":38416,"text":"Department of Biology, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":924717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scarpignato, Amy L.","contributorId":190139,"corporation":false,"usgs":false,"family":"Scarpignato","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":924718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruegg, Kristen","contributorId":265708,"corporation":false,"usgs":false,"family":"Ruegg","given":"Kristen","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":924719,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Contina, Andrea","contributorId":341849,"corporation":false,"usgs":false,"family":"Contina","given":"Andrea","email":"","affiliations":[{"id":78410,"text":"University of Texas Rio Grande Valley","active":true,"usgs":false}],"preferred":false,"id":924720,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rushing, Clark S.","contributorId":304139,"corporation":false,"usgs":false,"family":"Rushing","given":"Clark S.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":924721,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hallworth, Michael T.","contributorId":213805,"corporation":false,"usgs":false,"family":"Hallworth","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":38879,"text":"National Zoological Park, Migratory Bird Center","active":true,"usgs":false}],"preferred":false,"id":924722,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263888,"text":"70263888 - 2025 - Evaluation of the sensitivity of a federally endangered freshwater mussel (Venustaconcha trabalis) to selected chemicals","interactions":[],"lastModifiedDate":"2025-02-27T15:41:31.836746","indexId":"70263888","displayToPublicDate":"2025-01-06T09:38:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluation of the sensitivity of a federally endangered freshwater mussel (Venustaconcha trabalis) to selected chemicals","title":"Evaluation of the sensitivity of a federally endangered freshwater mussel (Venustaconcha trabalis) to selected chemicals","docAbstract":"

Protection of critically endangered species requires identification of factors limiting their survival and growth. Previous studies have demonstrated that unionid mussels are sensitive to some chemicals and the sensitivity was similar among different taxonomic families and tribes of mussels. However, common species of mussels were generally used in these previous studies; little is known about the sensitivity of endangered and threatened mussels relative to common species. The objective of this study was to evaluate the sensitivity of a critically endangered mussel (Tennessee bean, Venustaconcha trabalis) to seven chemicals with different modes of toxic action (ammonia, chloride, nitrite, potassium, cobalt, manganese, nickel) in acute 96-h exposures and to three chemicals (nitrite, cobalt, iron) in chronic 28-d exposures conducted following standard methods. A commonly tested mussel (fatmucket, Lampsilis siliquoidea) was also tested side-by-side with Tennessee bean in chronic exposures. Test chemicals were selected based on (1) chemicals of potential concern found in a review of existing data for the river where a population of Tennessee bean occurs or was historically present, (2) chemicals to which other mussels are sensitive, or (3) chemicals that had not been previously tested with mussels. Acute 50% effect concentrations (EC50s) for the seven chemicals from the Tennessee bean tests were within or close to the range of EC50s for other mussel species tested in previous studies, and chronic 20% effect concentrations for the three chemicals were similar between Tennessee bean and fatmucket, indicating the endangered species has sensitivity similar to other tested mussel species. Inclusion of the new mussel data in existing toxicity databases for freshwater organisms would rank one or more mussel species among the four most sensitive species to ammonia, chloride, potassium, and nickel in acute exposures and to nitrite, cobalt, and iron in chronic exposures.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgae092","usgsCitation":"Wang, N., Ivey, C.D., Cleveland, D.M., Kunz, J.L., Schapansky, R., Lane, T.W., and Barnhart, M., 2025, Evaluation of the sensitivity of a federally endangered freshwater mussel (Venustaconcha trabalis) to selected chemicals: Environmental Toxicology and Chemistry, https://doi.org/10.1093/etojnl/vgae092.","ipdsId":"IP-170240","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":487701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgae092","text":"Publisher Index Page"},{"id":482561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schapansky, Rebecca","contributorId":351559,"corporation":false,"usgs":false,"family":"Schapansky","given":"Rebecca","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":928914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, Timothy W.","contributorId":333081,"corporation":false,"usgs":false,"family":"Lane","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":79722,"text":"Virginia Department of Wildlife Resoures","active":true,"usgs":false}],"preferred":false,"id":928915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnhart, M. Christopher","contributorId":189301,"corporation":false,"usgs":false,"family":"Barnhart","given":"M. Christopher","affiliations":[],"preferred":false,"id":928916,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271467,"text":"70271467 - 2025 - Potential for biological effects of per- and polyfluoroalkyl substances in Great Lakes tributaries and associations with land cover and wastewater effluent","interactions":[],"lastModifiedDate":"2025-09-16T15:17:24.885811","indexId":"70271467","displayToPublicDate":"2025-01-06T08:09:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Potential for biological effects of per- and polyfluoroalkyl substances in Great Lakes tributaries and associations with land cover and wastewater effluent","docAbstract":"

Surface water concentrations of per- and polyfluoroalkyl substances (PFAS) and potential for resulting biological effects were estimated in a study using polar organic chemical integrative samplers (POCIS) from 60 tributary sites within 20 watersheds in the Great Lakes Basin in 2018. Sites represented a range of urban to agricultural, forested, and wetland land uses and included a gradient of wastewater treatment effluent from zero to 44% of annual streamflow. Several sites also had airport influence. Twenty-one of 32 targeted PFAS compounds were detected in POCIS samplers, of which, 16 had available POCIS sampling rates, enabling time-weighted water concentration estimates and comparison with available effects data. Estimated water concentrations were compared with published water quality guidelines (available for nine PFAS), effect concentrations reported in primary literature within the ECOTOX Knowledgebase for apical endpoints (10 PFAS) and nonapical endpoints (10 PFAS), and in vitro high-throughput screening data from the U.S. Environmental Protection Agency Toxicity Forecaster (ToxCast; 14 PFAS). Based on a conservative evaluation approach that was also weighted for persistence and limitations in available toxicological information, five individual PFAS, including perfluorooctanesulfonic acid, perfluorohexanesulfonic acid, perfluorobutanesulfonic acid, perfluorooctanoic acid, and perfluorononanoic acid were identified as warranting additional investigation. Possible increased potency of PFAS mixtures over individual chemical effects, estimated by summation of exposure-activity ratios (EARs) for chemicals that influence common ToxCast assays and specified gene targets, indicated that EAR values increased up to 5.6-fold over individual chemicals, with up to 14 chemicals contributing to mixture effect predictions. Potential for biological effects from PFAS, as estimated by summed exposure-activity ratios, were correlated with urban land use and the proportion of streamflow contributed by wastewater effluent.

","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1093/etojnl/vgae053","usgsCitation":"Corsi, S., Loken, L.C., Ankley, G.T., Alvarez, D.A., and Villeneuve, D.L., 2025, Potential for biological effects of per- and polyfluoroalkyl substances in Great Lakes tributaries and associations with land cover and wastewater effluent: Environmental Toxicology and Chemistry, v. 44, no. 6, p. 1706-1722, https://doi.org/10.1093/etojnl/vgae053.","productDescription":"17 p.","startPage":"1706","endPage":"1722","ipdsId":"IP-159605","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":495738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgae053","text":"Publisher Index Page"},{"id":495602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United Staes","otherGeospatial":"Great Lakes tributaries","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.57691865567881,\n 49.80505886092908\n ],\n [\n -92.57691865567881,\n 40.630914911656845\n ],\n [\n -75.84891837004692,\n 40.630914911656845\n ],\n [\n -75.84891837004692,\n 49.80505886092908\n ],\n [\n -92.57691865567881,\n 49.80505886092908\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":948870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ankley, Gerald T.","contributorId":361472,"corporation":false,"usgs":false,"family":"Ankley","given":"Gerald","middleInitial":"T.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":948871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948872,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Villeneuve, Daniel L.","contributorId":361475,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","middleInitial":"L.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":948873,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261473,"text":"70261473 - 2025 - The progression of basaltic–rhyolitic melt storage at Yellowstone Caldera","interactions":[],"lastModifiedDate":"2025-01-14T16:14:26.059072","indexId":"70261473","displayToPublicDate":"2025-01-01T10:08:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"The progression of basaltic–rhyolitic melt storage at Yellowstone Caldera","docAbstract":"

Yellowstone Caldera is one of the largest volcanic systems on Earth, hosting three major caldera-forming eruptions in the past two million years, interspersed with periods of less explosive, smaller-volume eruptions1. Caldera-forming eruptions at Yellowstone are sourced by rhyolitic melts stored within the mid- to upper crust. Seismic tomography studies have suggested that a broad region of rhyolitic melt extends beneath Yellowstone Caldera, with an estimated melt volume that is one to four times greater than the eruptive volume of the largest past caldera-forming eruption, and an estimated melt fraction of 6–28 per cent2,3,4,5. Seismic velocity is strongly influenced by temperature, pressure and melt; however, magnetotelluric data are primarily sensitive to the presence of melt, making these data ideal for constraining volcanic systems. Here we utilize magnetotelluric data to model the resistivity structure of Yellowstone Caldera’s crustal magma reservoir and constrain the region’s potential for producing major volcanic eruptions. We find that rhyolitic melts are stored in segregated regions beneath the caldera with low melt fractions, indicating that the reservoirs are not eruptible. Typically, these regions have melt volumes equivalent to small-volume post-caldera Yellowstone eruptions. The largest region of rhyolitic melt storage, concentrated beneath northeast Yellowstone Caldera, has a storage volume similar to the eruptive volume of Yellowstone’s smallest caldera-forming eruption. We identify regions of basalt migrating from the lower crust, merging with and supplying heat to the northeast region of rhyolitic melt storage. On the basis of our analysis, we suggest that the locus of future rhyolitic volcanism has shifted to northeast Yellowstone Caldera.

","language":"English","publisher":"Nature","doi":"10.1038/s41586-024-08286-z","usgsCitation":"Bennington, N.L., Schultz, A., Bedrosian, P.A., Bowles-Martinez, E., Lynn, K.J., Stelten, M.E., Tu, X., and Thurber, C., 2025, The progression of basaltic–rhyolitic melt storage at Yellowstone Caldera: Nature, v. 637, p. 97-102, https://doi.org/10.1038/s41586-024-08286-z.","productDescription":"6 p.","startPage":"97","endPage":"102","ipdsId":"IP-168140","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":466221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.8,\n 45.2\n ],\n [\n -111.8,\n 43.9\n ],\n [\n -109.8,\n 43.9\n ],\n [\n -109.8,\n 45.2\n ],\n [\n -111.8,\n 45.2\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"637","noUsgsAuthors":false,"publicationDate":"2025-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennington, Ninfa Lucia 0000-0003-3230-6744","orcid":"https://orcid.org/0000-0003-3230-6744","contributorId":346226,"corporation":false,"usgs":true,"family":"Bennington","given":"Ninfa","email":"","middleInitial":"Lucia","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schultz, Adam","contributorId":347045,"corporation":false,"usgs":false,"family":"Schultz","given":"Adam","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":920677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":920676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowles-Martinez, Esteban","contributorId":347046,"corporation":false,"usgs":false,"family":"Bowles-Martinez","given":"Esteban","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":920678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920679,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920680,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tu, Xiaolei","contributorId":347047,"corporation":false,"usgs":false,"family":"Tu","given":"Xiaolei","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":920681,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thurber, Clifford","contributorId":347048,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":920682,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263713,"text":"70263713 - 2025 - Sex differences in migration routes and non-breeding areas of a declining shorebird","interactions":[],"lastModifiedDate":"2025-02-20T15:40:42.561015","indexId":"70263713","displayToPublicDate":"2025-01-01T09:36:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Sex differences in migration routes and non-breeding areas of a declining shorebird","docAbstract":"

Migratory birds face different threats and pressures across their annual cycle, and understanding the impact of these factors on individuals is critical to the conservation of avian populations. Individuals from the same breeding population may share the same non-breeding areas, and thus experience similar conditions, or they may travel to different habitats or regions during migration and the stationary non-breeding period. Marbled Godwits (Limosa fedoa) breeding in the Northern Great Plains, which have experienced steep population declines, are thought to spend the non-breeding period primarily on the Pacific Coast of the United States and Mexico. However, little is known about migratory routes, stopover sites, and non-breeding locations of specific breeding populations, nor whether individuals from the same breeding population remain together throughout the year. We deployed satellite transmitters on four mated pairs of godwits breeding in southern Alberta, Canada, with individuals tracked over a mean of 2.2 annual cycles (range 0.6–5.6, excluding one unit that stopped transmitting immediately following deployment). Counter to our expectations, females and males separated completely following breeding, with females traveling to non-breeding areas along the coast of California, United States, and males stopping over at Great Salt Lake, Utah, United States, and spending the non-breeding period in Baja California Sur, Mexico, a distance of ~1300 km from their mates. Despite spending nine months apart, individuals from this breeding population have previously been shown to have high mate fidelity. Interestingly, individuals mostly used protected areas during the non-breeding period, in contrast to the human-modified agricultural landscapes that make up the majority of their breeding grounds. Despite a small sample size, our results suggest a strong pattern of differential migration based on sex, with implications for the specific environmental conditions, and potentially threats, faced by female and male godwits across the annual cycle.

","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/ACE-02785-200102","usgsCitation":"McKellar, A.E., Gratto-Trevor, C.L., and Tibbitts, T., 2025, Sex differences in migration routes and non-breeding areas of a declining shorebird: Avian Conservation and Ecology, v. 20, no. 1, 2, 12 p., https://doi.org/10.5751/ACE-02785-200102.","productDescription":"2, 12 p.","ipdsId":"IP-169987","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":489861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-02785-200102","text":"Publisher Index Page"},{"id":482272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.47009688253796,\n 51.647756647734525\n ],\n [\n -125.25783924890335,\n 51.647756647734525\n ],\n [\n -125.25783924890335,\n 26.731178692950436\n ],\n [\n -110.47009688253796,\n 26.731178692950436\n ],\n [\n -110.47009688253796,\n 51.647756647734525\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McKellar, Ann E.","contributorId":340997,"corporation":false,"usgs":false,"family":"McKellar","given":"Ann","email":"","middleInitial":"E.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":927928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gratto-Trevor, Cheri L","contributorId":270109,"corporation":false,"usgs":false,"family":"Gratto-Trevor","given":"Cheri","email":"","middleInitial":"L","affiliations":[{"id":48188,"text":"Environment Canada","active":true,"usgs":false}],"preferred":false,"id":927929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":224104,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T. Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":927930,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70269529,"text":"70269529 - 2025 - Potential 2050 distributions of World Terrestrial Ecosystems from projections of changes in World Climate Regions and Global Land Cover","interactions":[],"lastModifiedDate":"2025-07-25T14:24:26.715073","indexId":"70269529","displayToPublicDate":"2024-12-24T09:17:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Potential 2050 distributions of World Terrestrial Ecosystems from projections of changes in World Climate Regions and Global Land Cover","docAbstract":"

The urgency to address ecosystem loss is paramount, as both land use change and climate change will continue to rapidly alter and degrade natural ecosystems and reduce the many services they provide. To support conservation actions that mitigate impacts from these dual threats, we have developed potential World Terrestrial Ecosystem (WTE) distributions for 2050 following IPCC best practice guidelines. This projection of ecosystem distributions builds on the previously released 2015 WTEs, a snapshot of the distribution and conservation status of 431 terrestrial ecosystem types defined as distinct combinations of 18 global climate regions, 4 global landform classes, and 8 global vegetation/land cover classes. Extending that work herein, we modeled the potential 2050 WTE distributions based on projections of five CMIP6 general circulation models (GCMs) and one global land cover change model, determined for three shared socioeconomic pathway (SSP) scenarios. The climate region modeling included projections for 2050 for both mean annual temperature and mean annual aridity. Model agreement for changes to WTEs was generally high, particularly for temperature projections. Widespread changes in ecosystem classes due to shifts in climate settings and/or land cover between 2015 and 2050 were projected, with both the magnitude and specific geography of projected change largely governed by the SSP scenario. For the three SSP scenarios (sustainable development, regional rivalry, and fossil-fueled development), geographic changes in climate setting (temperature, aridity, or both) and/or changes in vegetation/land cover are projected for 29 %, 36 %, and 39 % of Earth’s terrestrial surface, respectively. These changes occur in areas where 31 %, 36 %, and 41 % of the global population lives. Projected changes in ecosystem distributions related to temperature change are approximately an order of magnitude greater than for aridity change. By offering insight into potential ecosystem changes, this new resource is intended to facilitate conservation planning and priority setting aimed at improved conservation of biodiversity and ecosystem services.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2024.e03370","usgsCitation":"Sayre, R., Frye, C., Breyer, S., Roehrdanz, P., Elsen, P., Butler, K., Brown, C., Cress, J., Karagulle, D., Martin, M.T., Sangermano, F., Smyth, R., Sohl, T., Wolff, N., Wright, D., and Wu, Z., 2025, Potential 2050 distributions of World Terrestrial Ecosystems from projections of changes in World Climate Regions and Global Land Cover: Global Ecology and Conservation, v. 57, e03370, 20 p., https://doi.org/10.1016/j.gecco.2024.e03370.","productDescription":"e03370, 20 p.","ipdsId":"IP-170996","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":493310,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2024.e03370","text":"Publisher Index Page"},{"id":492908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","noUsgsAuthors":false,"publicationDate":"2024-12-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Sayre, Roger 0000-0001-6703-7105","orcid":"https://orcid.org/0000-0001-6703-7105","contributorId":245011,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":943980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frye, Charlie","contributorId":358574,"corporation":false,"usgs":false,"family":"Frye","given":"Charlie","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":943981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breyer, Sean","contributorId":358577,"corporation":false,"usgs":false,"family":"Breyer","given":"Sean","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":943982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roehrdanz, Patrick","contributorId":358580,"corporation":false,"usgs":false,"family":"Roehrdanz","given":"Patrick","affiliations":[{"id":16938,"text":"Conservation International","active":true,"usgs":false}],"preferred":false,"id":943983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elsen, Paul","contributorId":358583,"corporation":false,"usgs":false,"family":"Elsen","given":"Paul","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":943984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butler, Kevin","contributorId":358586,"corporation":false,"usgs":false,"family":"Butler","given":"Kevin","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":943985,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, Clint","contributorId":358589,"corporation":false,"usgs":false,"family":"Brown","given":"Clint","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":943986,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cress, Jill Janene 0000-0002-3148-8374","orcid":"https://orcid.org/0000-0002-3148-8374","contributorId":261695,"corporation":false,"usgs":true,"family":"Cress","given":"Jill Janene","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":943987,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karagulle, Deniz","contributorId":358592,"corporation":false,"usgs":false,"family":"Karagulle","given":"Deniz","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":943988,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Martin, Madeline T. 0000-0002-2704-1879","orcid":"https://orcid.org/0000-0002-2704-1879","contributorId":261694,"corporation":false,"usgs":true,"family":"Martin","given":"Madeline","email":"","middleInitial":"T.","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":943989,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sangermano, Florencia","contributorId":358595,"corporation":false,"usgs":false,"family":"Sangermano","given":"Florencia","affiliations":[{"id":24788,"text":"Clark University","active":true,"usgs":false}],"preferred":false,"id":943990,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smyth, Regan","contributorId":358598,"corporation":false,"usgs":false,"family":"Smyth","given":"Regan","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":943991,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sohl, Terry 0000-0002-9771-4231","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":339876,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":943992,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wolff, Nicholas","contributorId":358601,"corporation":false,"usgs":false,"family":"Wolff","given":"Nicholas","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":943993,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wright, Dawn","contributorId":358604,"corporation":false,"usgs":false,"family":"Wright","given":"Dawn","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":943994,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wu, Zhuoting 0000-0001-7283-730X","orcid":"https://orcid.org/0000-0001-7283-730X","contributorId":358607,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":943995,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70261771,"text":"70261771 - 2025 - Practical application of time-lapse camera imagery to develop water-level data for three hydrologic monitoring sites in Wisconsin during water year 2020","interactions":[],"lastModifiedDate":"2024-12-30T21:17:43.800451","indexId":"70261771","displayToPublicDate":"2024-12-19T11:03:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5836,"text":"Journal of Hydrology X","onlineIssn":"2589-9155","active":true,"publicationSubtype":{"id":10}},"title":"Practical application of time-lapse camera imagery to develop water-level data for three hydrologic monitoring sites in Wisconsin during water year 2020","docAbstract":"Using camera imagery to measure water level (camera-stage) is a well-researched area of study. Previous camera-stage studies have shown promising results when implementing this technology with tight constraints on test conditions. However, there is a need for a more comprehensive evaluation of the extensibility of camera-stage to practical applications. Therefore, the aim of this study was to test a camera-stage method under a wide variety of test conditions to better understand the successes and challenges of using this technology in real-world scenarios. In this study, this approach was tested during Water Year 2020 at three existing U.S. Geological Study (USGS) stream gaging stations in south central Wisconsin that had existing USGS water-level instrumentation. The specific reference objects tested were white pipes and a concrete wall. Since successful application of camera-stage relies on use of suitable images, all captured images in this study were visually inspected to determine suitability for application of camera-stage. Camera-stage measurements were then computed only on images deemed suitable and the results were compared with ground-truth stage values to determine the accuracy. For the purposes of this study, camera-stage values within ±0.10 ft of the actual stage were considered acceptable. One major challenge highlighted was the potential difficulty in obtaining suitable imagery, with the proportion of suitable images varying greatly between the four trials from 38 % to 92 %. The results from applying camera-stage to suitable images were encouraging though, with 79 % to 99 % of evaluated camera-stage values qualifying as acceptable among the four test trials.","language":"English","publisher":"Elsevier","doi":"10.1016/j.hydroa.2024.100199","usgsCitation":"Johnson, K.E., Reneau, P., and Komiskey, M.J., 2025, Practical application of time-lapse camera imagery to develop water-level data for three hydrologic monitoring sites in Wisconsin during water year 2020: Journal of Hydrology X, v. 26, 100199, 12 p., https://doi.org/10.1016/j.hydroa.2024.100199.","productDescription":"100199, 12 p.","ipdsId":"IP-152041","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466673,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hydroa.2024.100199","text":"Publisher Index Page"},{"id":465442,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Sauk County","otherGeospatial":"Lake Redstone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.10509451311265,\n 43.649948800545786\n ],\n [\n -90.10509451311265,\n 43.58310310760555\n ],\n [\n -90.07129958906278,\n 43.58310310760555\n ],\n [\n -90.07129958906278,\n 43.649948800545786\n ],\n [\n -90.10509451311265,\n 43.649948800545786\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Keegan Eland 0000-0003-1940-4542","orcid":"https://orcid.org/0000-0003-1940-4542","contributorId":332782,"corporation":false,"usgs":true,"family":"Johnson","given":"Keegan","email":"","middleInitial":"Eland","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reneau, Paul 0000-0002-1335-7573","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":217293,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Komiskey, Matthew J. 0000-0003-2962-6974 mjkomisk@usgs.gov","orcid":"https://orcid.org/0000-0003-2962-6974","contributorId":1776,"corporation":false,"usgs":true,"family":"Komiskey","given":"Matthew","email":"mjkomisk@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921735,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263384,"text":"70263384 - 2025 - SCEC/USGS Community Stress Drop Validation Study: How spectral fitting approaches influence measured source parameters","interactions":[],"lastModifiedDate":"2025-05-28T14:46:30.935116","indexId":"70263384","displayToPublicDate":"2024-12-17T11:33:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"SCEC/USGS Community Stress Drop Validation Study: How spectral fitting approaches influence measured source parameters","docAbstract":"

Spectral source parameters used to estimate an earthquake’s stress drop (Δσ) can vary significantly across measurement approaches. The Statewide California Earthquake Center/U.S. Geological Survey Community Stress-Drop Validation Study was initiated to compare source parameter estimates, focusing initially on a dataset from the 2019 Ridgecrest earthquake sequence. As part of that validation effort, here we focus on one potential source of uncertainty: whether spectral fitting approaches alone, applied to a common set of spectra from the 2019 Ridgecrest sequence result in different source parameter estimates. By using a common set of benchmark spectra analyzed across a consistent frequency band of 1–40 Hz, we eliminate many sources of variability. A subgroup of validation study participants volunteered to estimate the low-frequency displacement (Ω0) and corner frequency (fc ) by fitting a smooth function to benchmark displacement spectra. Participants used linear- or log-sampled spectra, assumed a Brune or Boatwright spectral model, and applied different misfit criteria. We compare 17 approaches used to estimate Ω0, fc , and Δσ for 54 earthquake spectra. Our results reveal that 35% of events have Δσ estimates within a factor of two, whereas others exhibit variations exceeding an order of magnitude. The variability in Ω0 and f c can largely be attributed to whether a spectrum is consistent with the smooth function of an idealized simple crack model. The trade-off between Ω0 and fc may be more pronounced when using linearly sampled spectra, as higher frequency spectral bumps control the fits. As expected, methods that assumed a Boatwright model tended to have lower Ω0 and somewhat higher f c compared to those assuming a Brune model, although resulting Δσ estimates are similar. When compared to the overall validation study results, the fitting approach alone may account for between 5% and 90% (25% on average) of the total variability in spectral Δσ.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240140","usgsCitation":"Cochran, E.S., Baltay Sundstrom, A.S., Chu, S., Abercrombie, R., Bindi, D., Chen, X., Parker, G.A., Pennington, C., Shearer, P.M., and Trugman, D.T., 2025, SCEC/USGS Community Stress Drop Validation Study: How spectral fitting approaches influence measured source parameters: Bulletin of the Seismological Society of America, v. 115, no. 3, p. 760-776, https://doi.org/10.1785/0120240140.","productDescription":"17 p.","startPage":"760","endPage":"776","ipdsId":"IP-167281","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481806,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.0604945971769,\n 36.16526962047753\n ],\n [\n -118.0604945971769,\n 35.25143920487821\n ],\n [\n -116.9963574607869,\n 35.25143920487821\n ],\n [\n -116.9963574607869,\n 36.16526962047753\n ],\n [\n -118.0604945971769,\n 36.16526962047753\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-12-17","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":926726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":926727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chu, Shanna","contributorId":350708,"corporation":false,"usgs":false,"family":"Chu","given":"Shanna","affiliations":[{"id":7173,"text":"Rice University","active":true,"usgs":false}],"preferred":false,"id":926728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":926729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bindi, Dino","contributorId":264168,"corporation":false,"usgs":false,"family":"Bindi","given":"Dino","email":"","affiliations":[],"preferred":false,"id":926730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, X.","contributorId":203813,"corporation":false,"usgs":false,"family":"Chen","given":"X.","email":"","affiliations":[{"id":7108,"text":"Princeton Univ.","active":true,"usgs":false}],"preferred":false,"id":926731,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926732,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pennington, Colin","contributorId":329842,"corporation":false,"usgs":false,"family":"Pennington","given":"Colin","affiliations":[{"id":16721,"text":"LLNL","active":true,"usgs":false}],"preferred":false,"id":926733,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shearer, Peter M.","contributorId":197012,"corporation":false,"usgs":false,"family":"Shearer","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":926734,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Trugman, Daniel T.","contributorId":197011,"corporation":false,"usgs":false,"family":"Trugman","given":"Daniel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":926735,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70266432,"text":"70266432 - 2025 - First records distribution models to guide biosurveillance for non-native species","interactions":[],"lastModifiedDate":"2025-05-06T13:48:33.176393","indexId":"70266432","displayToPublicDate":"2024-12-16T08:44:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"First records distribution models to guide biosurveillance for non-native species","docAbstract":"

Quickly locating new populations of non-native species can reduce the ecological and economic costs of species invasions. However, the difficulty of predicting which new non-native species will establish, and where, has limited active post-border biosurveillance efforts. Because pathways of introduction underlie spatial patterns of establishment risk, an intuitive approach is to search for new non-native species in areas where many non-native species have first been detected in the past. We formalize this intuition via first records distribution models (FRDMs), which apply species distribution modeling methods to the collection of first occurrence records across species (i.e. one record per species). We define FRDMs as statistical models that quantify environmental conditions associated with species' first naturalized records to predict spatial patterns of establishment risk. We model the first records of non-native plants in the conterminous USA as a proof-of-concept. The novelty of FRDMs is that their inferences apply not just to the species that contributed data; they provide a rigorous framework for predicting hotspots of invasion for new non-native taxa that share a pathway of introduction with the modeled species. FRDMs can guide survey efforts for new non-native taxa at multiple scales and across ecosystems.

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Desert bighorn sheep (Ovis canadensis) populations often occur in remote areas at low densities, leading to gaps in knowledge of life history. In November 2011, we translocated 11 female desert bighorn sheep from the Fra Cristobal Mountains and 9 from Red Rock Wildlife Management Area (RRWMA) to the Peloncillo Mountains in southwestern New Mexico. In December 2012, we captured 21 adult females in the Peloncillo Mountains, 14 of which were recaptured from 2011. We fitted each animal with a very high frequency (VHF) collar and vaginal implant transmitter (VIT) to monitor for parturition. We captured 26 lambs (5 females, 7 males in 2012; 7 males, 7 females in 2013), recorded morphometric measurements and fitted lambs with VHF collars to monitor survival. Over the study, 14 lambs died, with 12 mortalities from predation, one from abandonment, and one from unknown causes. Lambing season was protracted over 3–4 months and survival was unrelated to birth timing. Body mass differences between sex varied by year, suggesting a connection to annual climate. Because most studies focus on captive animals with access to supplemental food, captive lambs may not be representative of free-ranging populations. Thus, we investigated morphological trends in a free-ranging population.

","language":"English","publisher":"De Gruyter Brill","doi":"10.1515/mammalia-2024-0074 ‌","usgsCitation":"Parikh, G., Karsch, R., Cain, J.W., Rominger, E.M., and Goldstein, E.J., 2025, Neonate morphometrics and lambing season characteristics of desert bighorn sheep: Mammalia, v. 89, no. 2, p. 121-130, https://doi.org/10.1515/mammalia-2024-0074 ‌.","productDescription":"10 p.","startPage":"121","endPage":"130","ipdsId":"IP-166495","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Parikh, Grace L.","contributorId":354418,"corporation":false,"usgs":false,"family":"Parikh","given":"Grace L.","affiliations":[{"id":84629,"text":"Department of Fish Wildlife and Conservation Ecology","active":true,"usgs":false}],"preferred":false,"id":935611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karsch, Rebekah C.","contributorId":64159,"corporation":false,"usgs":true,"family":"Karsch","given":"Rebekah C.","affiliations":[],"preferred":false,"id":935612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rominger, Eric M.","contributorId":217500,"corporation":false,"usgs":false,"family":"Rominger","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":935614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldstein, Elise J.","contributorId":217499,"corporation":false,"usgs":false,"family":"Goldstein","given":"Elise","email":"","middleInitial":"J.","affiliations":[{"id":39654,"text":"nmdgf","active":true,"usgs":false}],"preferred":false,"id":935615,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262436,"text":"70262436 - 2025 - Roles of host and environment in shift of primary anthrax host species in Kruger National Park","interactions":[],"lastModifiedDate":"2025-01-22T17:26:50.190108","indexId":"70262436","displayToPublicDate":"2024-12-06T11:18:18","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":"Roles of host and environment in shift of primary anthrax host species in Kruger National Park","docAbstract":"

Environmental and climatic factors, as well as host demographics and behaviour, significantly influence the exposure of herbivorous mammalian hosts to pathogens such as Bacillus anthracis, the causative agent of anthrax. Until the early 1990s in Kruger National Park (KNP), kudu (Tragelaphus strepsiceros) was the host species most affected by anthrax, with outbreaks occurring predominantly in the dry season, particularly during drought cycles. However, the most affected host species has shifted to impala (Aepyceros melampus), with more frequent anthrax outbreaks during the wet season. This study investigates the roles of environmental variation and other host species in this shift. Temporal trends in environmental variables such as precipitation, soil moisture, temperature, and normalised difference vegetation index (NDVI) were analyzed in relation to anthrax occurrence (presence/ absence and counts). Additionally, correlations between host species’ densities and anthrax mortalities over time were examined. Anthrax cases in 1990 were concentrated in the central and northern regions of KNP(excluding Pafuri), primarily affected kudus; while subsequent mortalities affected mostly impala and were restricted to the far north, in Pafuri. Significant correlations were found between kudu anthrax mortality and a decrease in NDVI, average temperature, SPI-6 and SPI-12 (Standardised Precipitation Index in various time intervals. Conversely, anthrax occurrence in impalas was associated with a decline in SPI-3, and temperature rise, with increased mortality during the rainy season. Elephant density correlated negatively with kudu mortality, but a positive correlation with both impala mortality and impala density. The study concludes that environmental variables and species’ densities may alter the diversity and frequency of hosts exposed to B. anthracis. Climate extremes and alterations therein may exacerbate anthrax severity by modifying species susceptibility and their probability of exposure over time.

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