{"pageNumber":"107","pageRowStart":"2650","pageSize":"25","recordCount":184617,"records":[{"id":70264135,"text":"70264135 - 2025 - Ecological and social drivers of Mexican wolf home range size across spatiotemporal scales","interactions":[],"lastModifiedDate":"2025-03-07T14:38:45.51395","indexId":"70264135","displayToPublicDate":"2024-11-24T08:35:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7153,"text":"Journal of Mammology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological and social drivers of Mexican wolf home range size across spatiotemporal scales","docAbstract":"<p><span>Elucidating factors influencing home range size is fundamental to the ecology and management of wildlife species, particularly those of conservation concern, because they can provide insight into how species utilize and interact with their environment. Variation in home range size can be related to intraspecific competition and social organization, energetic requirements in relation to habitat productivity, allometric relationships, and population density. The Mexican Gray Wolf (</span><i>Canis lupus baileyi</i><span>) is an endangered subspecies of the Gray Wolf whose home range size has not yet been studied. We examined ecological and social drivers of home range size of 22 Mexican Wolf packs between 2017 and 2021 across 4 biological time frames: annual; denning; post-denning; and non-denning. We used a 95% Brownian Bridge Movement Model home range estimator and generalized linear mixed-effect models to assess these relationships. Home range size was inversely correlated with estimated ungulate biomass, which was the most influential driver of home range size at annual and post-denning time frames. Larger packs utilized larger ranges during denning and post-denning time frames, while packs with larger litters had smaller ranges during the denning season. Snow depth was inversely related to home range size during the non-denning season. Our results indicate that both ecological and social factors are important and seasonally dependent in driving Mexican Wolf home range size. Use of a multiscale approach in future home range studies could discern relevant factors for species during time frames of interest.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyae110","usgsCitation":"Lichwa-Schneringer, E., Cain, J.W., Wan, H.Y., Fuller, G., Millberry, C., and Gunther, M.S., 2025, Ecological and social drivers of Mexican wolf home range size across spatiotemporal scales: Journal of Mammology, v. 106, no. 1, p. 105-117, https://doi.org/10.1093/jmammal/gyae110.","productDescription":"13 p.","startPage":"105","endPage":"117","ipdsId":"IP-159340","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":483043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lichwa-Schneringer, Evelyn","contributorId":352023,"corporation":false,"usgs":false,"family":"Lichwa-Schneringer","given":"Evelyn","affiliations":[{"id":81635,"text":"Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":929924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":929925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wan, Ho Yi","contributorId":209843,"corporation":false,"usgs":false,"family":"Wan","given":"Ho","email":"","middleInitial":"Yi","affiliations":[{"id":38007,"text":"3Northern Arizona University,  School of Earth Sciences and Environmental Sustainability","active":true,"usgs":false}],"preferred":false,"id":929926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Genevieve","contributorId":352026,"corporation":false,"usgs":false,"family":"Fuller","given":"Genevieve","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":929927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Millberry, Cyrenea","contributorId":352027,"corporation":false,"usgs":false,"family":"Millberry","given":"Cyrenea","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":929928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gunther, Micaela Szykman","contributorId":265719,"corporation":false,"usgs":false,"family":"Gunther","given":"Micaela","email":"","middleInitial":"Szykman","affiliations":[{"id":54774,"text":"Department of Wildlife, Humboldt State University, Arcata, California, USA","active":true,"usgs":false}],"preferred":false,"id":929929,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70271137,"text":"70271137 - 2025 - Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States","interactions":[],"lastModifiedDate":"2025-08-28T15:23:30.407508","indexId":"70271137","displayToPublicDate":"2024-11-24T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States","docAbstract":"<p><span>In water-limited dryland ecosystems of the Western United States, climate change is intensifying the impacts of heat, drought, and wildfire. Disturbances often lead to increased abundance of invasive species, in part, because dryland restoration and rehabilitation are inhibited by limited moisture and infrequent plant recruitment events. Information on ecological resilience to disturbance (recovery potential) and resistance to invasive species can aid in addressing these challenges by informing long-term restoration and conservation planning. Here, we quantified the impacts of projected future climate on ecological resilience and invasion resistance&nbsp;(R&amp;R) in the sagebrush region using novel algorithms based on ecologically relevant and climate-sensitive predictors of climate and ecological drought. We used a process-based ecohydrological model to project these predictor variables and resulting R&amp;R indicators for two future climate scenarios and 20 climate models. Results suggested widespread future R&amp;R decreases (24%–34% of the 1.16 million km</span><sup>2</sup><span>&nbsp;study area) that are generally consistent among climate models. Variables related to rising temperatures were most strongly linked to decreases in R&amp;R indicators. New continuous R&amp;R indices quantified responses to climate change; particularly useful for areas without projected change in the R&amp;R category but where R&amp;R still may decrease, for example, some of the areas with a historically low R&amp;R category. Additionally, we found that areas currently characterized as having high sagebrush ecological integrity had the largest areal percentage with expected declines in R&amp;R in the future, suggesting continuing declines in sagebrush ecosystems. One limitation of these R&amp;R projections was relatively novel future climatic conditions in particularly hot and dry areas that were underrepresented in the training data. Including more data from these areas in future updates could further improve the reliability of the projections. Overall, these projected future declines in R&amp;R highlight a growing challenge for natural resource managers in the region, and the resulting spatially explicit datasets provide information that can improve long-term risk assessments, prioritizations, and climate adaptation efforts.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3065","usgsCitation":"Schlaepfer, D.R., Chambers, J., Urza, A.K., Hanberry, B.B., Brown, J.L., Board, D.I., Campbell, S.B., Clause, K.J., Crist, M.R., and Bradford, J.B., 2025, Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States: Ecological Applications, v. 35, no. 1, e3065, 22 p., https://doi.org/10.1002/eap.3065.","productDescription":"e3065, 22 p.","ipdsId":"IP-158663","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.42794589746886,\n              49.014637994301935\n            ],\n            [\n              -119.90978156132392,\n              36.70243517332828\n            ],\n            [\n              -116.74229497105136,\n              35.570259676514176\n            ],\n            [\n              -111.57726471396826,\n              36.555490134719435\n            ],\n            [\n              -105.91156612900402,\n              33.92801205884358\n            ],\n            [\n              -102.5499905132619,\n              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0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":947551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Urza, Alexandra K. 0000-0001-9795-6735","orcid":"https://orcid.org/0000-0001-9795-6735","contributorId":261259,"corporation":false,"usgs":false,"family":"Urza","given":"Alexandra","email":"","middleInitial":"K.","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":947552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanberry, Brice B. 0000-0001-8657-9540","orcid":"https://orcid.org/0000-0001-8657-9540","contributorId":229364,"corporation":false,"usgs":false,"family":"Hanberry","given":"Brice","email":"","middleInitial":"B.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":947553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Jessi L. 0000-0002-6126-7951","orcid":"https://orcid.org/0000-0002-6126-7951","contributorId":360732,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","middleInitial":"L.","affiliations":[{"id":82408,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Board, David I. 0000-0001-6140-1260","orcid":"https://orcid.org/0000-0001-6140-1260","contributorId":360734,"corporation":false,"usgs":false,"family":"Board","given":"David","middleInitial":"I.","affiliations":[{"id":82408,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Campbell, Steven B. 0009-0002-9710-9688","orcid":"https://orcid.org/0009-0002-9710-9688","contributorId":360736,"corporation":false,"usgs":false,"family":"Campbell","given":"Steven","middleInitial":"B.","affiliations":[{"id":86091,"text":"USDA Natural Resources Conservation Service, West National Technology Support Center, Portland, Oregon U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947556,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clause, Karen J.","contributorId":360737,"corporation":false,"usgs":false,"family":"Clause","given":"Karen","middleInitial":"J.","affiliations":[{"id":86093,"text":"USDA Natural Resources Conservation Service, Pinedale, Wyoming U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947557,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Crist, Michele R. 0000-0002-3506-3402","orcid":"https://orcid.org/0000-0002-3506-3402","contributorId":360738,"corporation":false,"usgs":false,"family":"Crist","given":"Michele","middleInitial":"R.","affiliations":[{"id":86094,"text":"U.S. Bureau of Land Management, National Interagency Fire Center, Boise, Idaho","active":true,"usgs":false}],"preferred":false,"id":947558,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":222784,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947559,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70257548,"text":"70257548 - 2025 - High variability of migration strategies in a re-established Cygnus buccinator (Trumpeter Swan) population","interactions":[],"lastModifiedDate":"2025-06-12T15:24:51.105385","indexId":"70257548","displayToPublicDate":"2024-11-22T10:17:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"High variability of migration strategies in a re-established <i>Cygnus buccinator</i> (Trumpeter Swan) population","title":"High variability of migration strategies in a re-established Cygnus buccinator (Trumpeter Swan) population","docAbstract":"<p><span>The Interior Population (IP) of&nbsp;</span><i>Cygnus buccinator</i><span>&nbsp;(Trumpeter Swan), formerly extirpated by market hunting, was re-established in eastern North America by releasing individuals from both migratory and non-migratory populations. Their current annual movement patterns are largely unknown. We deployed 113 GPS-GSM transmitters on IP&nbsp;</span><i>C. buccinator</i><span>&nbsp;in 6 U.S. states and 1 Canadian province across the current IP breeding range. Using data from 252 “swan-years”, we estimated migration phenology using piecewise regression models fit to each yearly time-series of displacement from the breeding site. We fit a latent-state model to characterize population-level associations between breeding latitude and maximum extent of migration, and linear mixed models to quantify associations between individual characteristics (e.g., breeding status, sex) and migration phenology. At the individual level, 59% of swans moved to distant nonbreeding-period areas (long-distance migration, defined as moving &gt;100 km from the breeding site), 16% exhibited regional migration (25–100 km from breeding site), 19% exhibited non-migratory but local movements (&lt;25 km from breeding site), and 6% exhibited multiple migration strategies. Swans breeding at more-northern latitudes departed their territories earlier in autumn, returned later in the spring, and migrated farther from their breeding territories than those breeding at more southern latitudes. Although the population-level association between migration extent and breeding latitude was positive, some individuals remained close to the location of their breeding site during the nonbreeding period. Breeding swans departed later in the autumn than non-breeders, but breeding status did not have a strong association with arrival in the spring. IP&nbsp;</span><i>C. buccinator</i><span>&nbsp;are partial migrants, with a continuum of strategies that vary latitudinally, from local movements to long-distance migration. Much of the variability in movement patterns related to factors tied to natural history demands (e.g., breeding status) and response to environmental conditions (e.g., through associations with breeding latitude).</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukae059","usgsCitation":"Wolfson, D., Knapik, R., Buckardt Thomas, A., Harms, T., Kearns, L., Kiss, B., Poole, T., Fowler, D., Finger, T.A., Matteson, S.W., Moriarty, J., Mayo, T., Smith, M., Herwig, C., Andersen, D.E., and Fieberg, J.R., 2025, High variability of migration strategies in a re-established Cygnus buccinator (Trumpeter Swan) population: Ornithology, v. 142, no. 2, ukae059, 12 p., https://doi.org/10.1093/ornithology/ukae059.","productDescription":"ukae059, 12 p.","ipdsId":"IP-163003","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":465487,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466748,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithology/ukae059","text":"Publisher Index Page"}],"volume":"142","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolfson, David W.","contributorId":244928,"corporation":false,"usgs":false,"family":"Wolfson","given":"David W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":910783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knapik, Randall T.","contributorId":343307,"corporation":false,"usgs":false,"family":"Knapik","given":"Randall T.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckardt Thomas, Anna","contributorId":343310,"corporation":false,"usgs":false,"family":"Buckardt Thomas","given":"Anna","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harms, Tyler M.","contributorId":343314,"corporation":false,"usgs":false,"family":"Harms","given":"Tyler M.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kearns, Laura","contributorId":340996,"corporation":false,"usgs":false,"family":"Kearns","given":"Laura","email":"","affiliations":[{"id":81690,"text":"Ohio Department of Natural Resources – Division of Wildlife","active":true,"usgs":false}],"preferred":false,"id":910787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kiss, Brian W.","contributorId":343320,"corporation":false,"usgs":false,"family":"Kiss","given":"Brian W.","affiliations":[{"id":82070,"text":"Manitoba Department of Economic Development, Investment, Trade, and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910788,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poole, Timothy F.","contributorId":343321,"corporation":false,"usgs":false,"family":"Poole","given":"Timothy F.","affiliations":[{"id":82070,"text":"Manitoba Department of Economic Development, Investment, Trade, and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910789,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fowler, Drew Nathan 0000-0001-9347-4579","orcid":"https://orcid.org/0000-0001-9347-4579","contributorId":341123,"corporation":false,"usgs":true,"family":"Fowler","given":"Drew Nathan","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":922413,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Finger, Taylor A.","contributorId":176345,"corporation":false,"usgs":false,"family":"Finger","given":"Taylor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":910791,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Matteson, Sumner W.","contributorId":340998,"corporation":false,"usgs":false,"family":"Matteson","given":"Sumner","email":"","middleInitial":"W.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910792,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moriarty, John J.","contributorId":343324,"corporation":false,"usgs":false,"family":"Moriarty","given":"John J.","affiliations":[{"id":82073,"text":"Three Rivers Park District","active":true,"usgs":false}],"preferred":false,"id":910793,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mayo, Tiffany","contributorId":343325,"corporation":false,"usgs":false,"family":"Mayo","given":"Tiffany","affiliations":[{"id":82074,"text":"Cleveland Metroparks Zoo","active":true,"usgs":false}],"preferred":false,"id":910794,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, Margaret","contributorId":343326,"corporation":false,"usgs":false,"family":"Smith","given":"Margaret","affiliations":[{"id":82075,"text":"Trumpeter Swan Society","active":true,"usgs":false}],"preferred":false,"id":910795,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Herwig, Christine M.","contributorId":343327,"corporation":false,"usgs":false,"family":"Herwig","given":"Christine M.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910796,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922414,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Fieberg, John R. 0000-0002-3180-7021","orcid":"https://orcid.org/0000-0002-3180-7021","contributorId":194333,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":910798,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70261188,"text":"70261188 - 2025 - Projections of multiple climate-related coastal hazards for the US Southeast Atlantic","interactions":[],"lastModifiedDate":"2025-01-22T15:49:36.764574","indexId":"70261188","displayToPublicDate":"2024-11-21T09:05:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Projections of multiple climate-related coastal hazards for the US Southeast Atlantic","docAbstract":"<p><span>Faced with accelerating sea level rise and changing ocean storm conditions, coastal communities require comprehensive assessments of climate-driven hazard impacts to inform adaptation measures. Previous studies have focused on flooding but rarely on other climate-related coastal hazards, such as subsidence, beach erosion and groundwater. Here, we project societal exposure to multiple hazards along the Southeast Atlantic coast of the United States. Assuming 1 m of sea level rise, more than 70% of the coastal residents and US \\<span>$</span>1 trillion in property are in areas projected to experience shallow and emerging groundwater, 15 times higher than daily flooding. Storms increase flooding exposure by an order of magnitude over daily flooding, which could impact up to ~50% of all coastal residents and US \\<span>$</span>770 billion in property value. The loss of up to ~80% of present-day beaches and high subsidence rates that currently affect over 1 million residents will exacerbate flooding and groundwater hazard risks.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41558-024-02180-2","usgsCitation":"Barnard, P.L., Befus, K.M., Danielson, J.J., Engelstad, A.C., Erikson, L.H., Foxgrover, A.C., Hayden, M.K., Hoover, D.J., Leijnse, T., Massey, C., McCall, R.T., Nadal-Caraballo, N., Nederhoff, K., O'Neill, A., Parker, K.A., Shirzaei, M., Ohenhen, L.O., Swarzenski, P., Thomas, J.A., van Ormondt, M., Vitousek, S., Vos, K., Wood, N.J., Jones, J.M., and Jones, J., 2025, Projections of multiple climate-related coastal hazards for the US Southeast Atlantic: Nature Climate Change, v. 15, p. 101-109, https://doi.org/10.1038/s41558-024-02180-2.","productDescription":"9 p.","startPage":"101","endPage":"109","ipdsId":"IP-162659","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science 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nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":919581,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":919582,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Jones, Jamie 0000-0002-9967-3314 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,{"id":70261116,"text":"70261116 - 2025 - A transferable approach for quantifying benthic fish sizes and densities in annotated underwater images","interactions":[],"lastModifiedDate":"2025-01-13T16:20:11.720742","indexId":"70261116","displayToPublicDate":"2024-11-21T08:11:27","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":"A transferable approach for quantifying benthic fish sizes and densities in annotated underwater images","docAbstract":"<p>1. Benthic fishes are a common target of scientific monitoring but are difficult to quantify because of their close association to bottom habitats that are hard to access. Advances in image-acquisition technologies, machine vision, and deep learning have made capturing and quantifying fishes with cameras increasingly feasible. We present a method and open-source software called ‘FishScale’ to estimate benthic fish lengths, numeric abundance, and biomass density in underwater environments assessed with down-looking monocular images. </p><p>2. ‘FishScale’ estimates fish abundances and size frequencies from near-nadir monocular images where fish have already been semantically segmented. The software accounts for lens distortion, underwater magnification effects, and fish body curvature to automatically estimate fish lengths and the areas of images where they were captured. Numeric and biomass density are estimated through a deterministic machine vision algorithm that requires a user-provided length-weight relationship for species of interest and calibration images. </p><p>3. Results from validation studies show that lengths and weights can be estimated with high accuracy and precision for round goby (<i>Neogobius melanostomus</i>) captured in distorted action camera images, and from large-bodied lake trout (<i>Salvelinus namaycush</i>) imaged with a machine vision camera. The real-world utility of the approach is demonstrated in a case study estimating round goby abundances and size frequencies along a 10.7-km transect surveyed with an autonomous underwater vehicle in Lake Michigan, USA. </p><p>4. Our validation studies demonstrate that the approach estimates benthic and benthopelagic fish lengths and weights with little bias and good accuracy and precision for species with much different body shapes and sizes. The method is applicable to data collected using a variety of nadir imaging approaches with widespread applications to fisheries monitoring and quantification of any species or object for which nadir images and working distances between the camera and feature of interest are available.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14453","usgsCitation":"Esselman, P.C., Moradi, S., Geisz, J.K., and Roussi, C., 2025, A transferable approach for quantifying benthic fish sizes and densities in annotated underwater images: Methods in Ecology and Evolution, v. 16, no. 1, p. 145-159, https://doi.org/10.1111/2041-210X.14453.","productDescription":"15 p.","startPage":"145","endPage":"159","ipdsId":"IP-132466","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":466686,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14453","text":"Publisher Index Page"},{"id":466452,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13QVR2R","text":"USGS data release","linkHelpText":"FishScale"},{"id":464463,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Michigan, Wisconsin","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.44954986437058,\n              45.79365704611857\n            ],\n            [\n              -88.27475541132564,\n              44.16814114178051\n            ],\n            [\n              -88.0092703926447,\n              42.701569303239616\n            ],\n            [\n              -87.68751722190896,\n              41.624028632419794\n            ],\n            [\n              -86.36553765374144,\n              41.63295180048564\n            ],\n            [\n              -85.83690337498572,\n              42.86335985317472\n            ],\n            [\n              -86.0486664314116,\n              44.084867584867666\n            ],\n            [\n              -84.79565964117464,\n              46.01898404311527\n            ],\n            [\n              -85.98754537346298,\n              46.05276165976035\n            ],\n            [\n              -87.44954986437058,\n              45.79365704611857\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Esselman, Peter C. 0000-0002-0085-903X pesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":346494,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter","email":"pesselman@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":919341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moradi, Shadi 0000-0002-9120-8952","orcid":"https://orcid.org/0000-0002-9120-8952","contributorId":342265,"corporation":false,"usgs":false,"family":"Moradi","given":"Shadi","email":"","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":919342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geisz, Joseph K. 0000-0001-6783-7057","orcid":"https://orcid.org/0000-0001-6783-7057","contributorId":342270,"corporation":false,"usgs":false,"family":"Geisz","given":"Joseph","email":"","middleInitial":"K.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":919343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roussi, Christopher","contributorId":346495,"corporation":false,"usgs":false,"family":"Roussi","given":"Christopher","email":"","affiliations":[{"id":34530,"text":"Michigan Tech Research Institute","active":true,"usgs":false}],"preferred":false,"id":919344,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273041,"text":"70273041 - 2025 - Resource selection of the southern fox squirrel (Sciurus niger niger)  in the coastal plain of Virginia","interactions":[],"lastModifiedDate":"2025-12-15T14:49:57.010841","indexId":"70273041","displayToPublicDate":"2024-11-20T11:12:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3694,"text":"Virginia Journal of Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Resource selection of the southern fox squirrel (<i>Sciurus niger niger</i>)  in the coastal plain of Virginia","title":"Resource selection of the southern fox squirrel (Sciurus niger niger)  in the coastal plain of Virginia","docAbstract":"<p>The southern fox squirrel (<i>Sciurus niger niger</i>) is a subspecies of fox squirrel that ranges from southeastern Virginia to northern Florida. Throughout its Southeastern range, southern fox squirrel habitat of natural mixed pine-hardwood forests has been fragmented by agriculture and short-rotation pine plantations. In Virginia, remaining habitat has been transformed by fire suppression on the landscape and has in turn resulted in small, disjunct populations of southern fox squirrels. We sought to identify the home range and resource utilization of southern fox squirrels in the southern Coastal Plain of Virginia. From established nest boxes, we captured, radio collared and tracked four individuals at Big Woods Wildlife Management area and Piney Grove Complex in Sussex County in 2022. We observed an average male 95% and 50% adaptive kernel home range 173.49 ha (SE = 25.73, <i>N</i> = 2) and 40.62 ha (SE = 5.87, <i>N</i> = 2), respectively and an average female 95% and 50% adaptive kernel home range of 28.51 ha (SE = 0.49,<i> N</i> = 2) and 4.71 ha (SE = 0.34, <i>N</i> = 2), respectively. At both the second and third orders of habitat selection, squirrels selected for pine savanna cover types and short fire-return intervals.</p>","language":"English","publisher":"Digital Commons","doi":"10.25778/p2ad-j877","usgsCitation":"Guill, M.H., De La Cruz, J.L., Puckett, K., and Ford, W., 2025, Resource selection of the southern fox squirrel (Sciurus niger niger)  in the coastal plain of Virginia: Virginia Journal of Science, v. 75, no. 3, 1, 18 p., https://doi.org/10.25778/p2ad-j877.","productDescription":"1, 18 p.","ipdsId":"IP-163237","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497495,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.22610873430784,\n              38.20480113736551\n            ],\n            [\n              -77.22610873430784,\n              36.57433812738637\n            ],\n            [\n              -76.01620307129923,\n              36.57433812738637\n            ],\n            [\n              -76.01620307129923,\n              38.20480113736551\n            ],\n            [\n              -77.22610873430784,\n              38.20480113736551\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"75","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Guill, Marissa H.","contributorId":363969,"corporation":false,"usgs":false,"family":"Guill","given":"Marissa","middleInitial":"H.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":952137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La Cruz, Jesse L.","contributorId":363972,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse","middleInitial":"L.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":952138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Puckett, K. Marc","contributorId":363975,"corporation":false,"usgs":false,"family":"Puckett","given":"K. Marc","affiliations":[{"id":56188,"text":"Virginia Department of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":952139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":952140,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262887,"text":"70262887 - 2025 - Evaluation of a carbon dioxide fish barrier through numerical modelling","interactions":[],"lastModifiedDate":"2025-08-04T15:32:55.922477","indexId":"70262887","displayToPublicDate":"2024-11-20T09:17:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19917,"text":"Meccanica","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a carbon dioxide fish barrier through numerical modelling","docAbstract":"<p><span>The Chicago Area Waterway System (CAWS) is a potential route for the migration of aquatic invasive species from the Mississippi River Basin into the Great Lakes. Electric dispersal barriers were installed in the Chicago Sanitary Ship Canal, within CAWS, to prevent invasive fish from reaching the Great Lakes. Despite the high efficiency of these barriers, occasional maintenance events create a vulnerability that fish can exploit to access the Great Lakes. This study aimed to assess the feasibility of a carbon dioxide (CO</span><sub>2</sub><span>) infusion system to deter fish during the maintenance of the electric barriers. An algebraic slip mixture model was implemented in the OpenFOAM solver to represent the underwater CO</span><sub>2</sub><span>&nbsp;bubble plume and predict the concentration of dissolved CO</span><sub>2</sub><span>&nbsp;in the canal. Simulations under three canal flowrates and two sparger systems were conducted assuming a constant gas flowrate. Numerical results indicate that, for all simulated conditions, the CO</span><sub>2</sub><span>&nbsp;concentration is not fully mixed creating passageways that invasive fish could potentially use to migrate upstream. Injecting 4-mm bubbles induces two large-scale recirculations that are expected to synergistically improve fish avoidance. On the other hand, injection of 20 </span><span class=\"mathjax-tex\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow class=&quot;MJX-TeXAtom-ORD&quot;><mtext fontfamily=&quot;Times&quot;>&amp;#x03BC;</mtext></mrow></math>\"><span class=\"MJX_Assistive_MathML\">μ</span></span></span><span>m bubbles results on almost immediate dissolution with minimal effect on the flow pattern. To improve effectiveness, a gas pulse system was proposed and numerically evaluated. Based on the simulations, this system not only extends the operation of the CO</span><sub>2</sub><span>&nbsp;barrier but also increases efficiency creating CO</span><sub>2</sub><span>&nbsp;gradients that can promote a more responsive behaviour from fish. Moreover, the pulse concept mitigates potential effect of elevated CO</span><sub>2</sub><span>&nbsp;downstream from the treated area.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s11012-024-01865-4","usgsCitation":"Politano, M., Cupp, A.R., Smith, D., Schemmel, A., Jackson, P.R., and Zuercher, J., 2025, Evaluation of a carbon dioxide fish barrier through numerical modelling: Meccanica, v. 60, p. 1545-1560, https://doi.org/10.1007/s11012-024-01865-4.","productDescription":"16 p.","startPage":"1545","endPage":"1560","ipdsId":"IP-137990","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":481413,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":489897,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11012-024-01865-4","text":"Publisher Index Page"}],"country":"United States","state":"Illinois","otherGeospatial":"Chicago Area Waterway System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.45983154395925,\n              42.02832638639134\n            ],\n            [\n              -90.20558925432896,\n              41.259762660479\n            ],\n            [\n              -90.92604657930856,\n              39.60224792913861\n            ],\n            [\n              -90.53687833366651,\n              38.885040787768844\n            ],\n            [\n              -87.74374273887783,\n              40.64793845408764\n            ],\n            [\n              -87.45983154395925,\n              42.02832638639134\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","noUsgsAuthors":false,"publicationDate":"2024-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Politano, Marcela","contributorId":349914,"corporation":false,"usgs":false,"family":"Politano","given":"Marcela","affiliations":[{"id":18947,"text":"USACE ERDC","active":true,"usgs":false}],"preferred":false,"id":925191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":925192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David","contributorId":261251,"corporation":false,"usgs":false,"family":"Smith","given":"David","affiliations":[{"id":52784,"text":"U.S. Department of Agriculture, Economic Research Service","active":true,"usgs":false}],"preferred":false,"id":925193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schemmel, Avery","contributorId":349915,"corporation":false,"usgs":false,"family":"Schemmel","given":"Avery","affiliations":[{"id":83534,"text":"U.S. Army Corps of Engineers (USACE- ERDC)","active":true,"usgs":false}],"preferred":false,"id":925194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zuercher, Jeff","contributorId":349916,"corporation":false,"usgs":false,"family":"Zuercher","given":"Jeff","affiliations":[{"id":83535,"text":"USACE, Chicago District","active":true,"usgs":false}],"preferred":false,"id":925196,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267754,"text":"70267754 - 2025 - A ‘how-to’ guide for estimating animal diel activity using hierarchical models","interactions":[],"lastModifiedDate":"2025-05-30T15:36:23.008094","indexId":"70267754","displayToPublicDate":"2024-11-19T10:33:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A ‘how-to’ guide for estimating animal diel activity using hierarchical models","docAbstract":"<ol class=\"\"><li>Animal diel activity patterns can aid understanding of (a) how species behaviourally adapt to anthropogenic and natural disturbances, (b) mechanisms of species co-existence through temporal partitioning, and (c) community or ecosystem effects of diel activity shifts.</li><li>Activity patterns often vary spatially, a feature ignored by the kernel density estimators (KDEs) currently used for estimating diel activity. Ignoring this source of heterogeneity may lead to biased estimates of uncertainty and misleading conclusions regarding the drivers of diel activity. Thus, there is a need for more flexible statistical approaches for estimating activity patterns and testing hypotheses regarding their biotic and abiotic drivers.</li><li>We illustrate how trigonometric terms and cyclic cubic splines combined with hierarchical models can provide a valuable alternative to KDEs. Like KDEs, these models accommodate circular data, but they can also account for site-to-site and other sources of variability, correlation amongst repeated measures, and variable sampling effort. They can also more readily quantify and test hypotheses related to the effects of covariates on activity patterns.</li><li>Through empirical case studies, we illustrate how hierarchical models can quantify changes in activity levels due to seasonality and in response to biotic and abiotic factors (e.g. anthropogenic stressors and co-occurrence). We also describe frequentist and Bayesian approaches for quantifying site-specific (conditional) and population-averaged (marginal) activity patterns.</li><li>We provide guidelines and tutorials with detailed step-by-step instructions for fitting and interpreting hierarchical models applied to time-stamped data, such as those recorded by camera traps and audio recorders. We conclude that this approach offers a viable, flexible, and effective alternative to KDEs when modelling animal activity patterns.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.14213","usgsCitation":"Iannarilli, F., Gerber, B., Erb, J., and Fieberg, J.R., 2025, A ‘how-to’ guide for estimating animal diel activity using hierarchical models: Journal of Animal Ecology, v. 94, no. 2, p. 182-194, https://doi.org/10.1111/1365-2656.14213.","productDescription":"13 p.","startPage":"182","endPage":"194","ipdsId":"IP-166204","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490642,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.14213","text":"Publisher Index Page"},{"id":489264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Iannarilli, Fabiola","contributorId":244934,"corporation":false,"usgs":false,"family":"Iannarilli","given":"Fabiola","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":938740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerber, Brian Daniel 0000-0001-9285-9784","orcid":"https://orcid.org/0000-0001-9285-9784","contributorId":354265,"corporation":false,"usgs":true,"family":"Gerber","given":"Brian Daniel","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erb, John","contributorId":170057,"corporation":false,"usgs":false,"family":"Erb","given":"John","email":"","affiliations":[],"preferred":false,"id":938742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fieberg, John R. 0000-0002-3180-7021","orcid":"https://orcid.org/0000-0002-3180-7021","contributorId":194333,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":938743,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261161,"text":"70261161 - 2025 - The role of spring-neap phasing of intermittent lateral exchange in the ecosystem of a channel-shoal estuary","interactions":[],"lastModifiedDate":"2024-11-27T15:04:47.620875","indexId":"70261161","displayToPublicDate":"2024-11-19T10:20:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"The role of spring-neap phasing of intermittent lateral exchange in the ecosystem of a channel-shoal estuary","docAbstract":"<p><span>Lateral variability is a fundamental feature of channel-shoal estuaries, and exchanges between the channel and shoal can play an important role in the dynamics of the ecosystem in each region. This lateral exchange of biomass interacts with vertical structure and variability, particularly in the channel, to define algal biomass accumulation in the estuary. In this paper, we investigate how time-variable lateral exchange affects phytoplankton dynamics with a biophysical model that links two water columns via intermittent exchange. We find that time variability in the exchange influences biomass by increasing concentrations in the shoals and decreasing them in the channel when the time variability happens on a timescale greater than the timescales of biological processes, and the strength of the effect increases with the period of the intermittency. At timescales of variability comparable to the spring-neap cycle, however, the interplay between lateral exchange and the ecosystem response is complicated by the fortnightly development of stratification in the channel and the role that channel-shoal interaction plays in defining that stratification. As a result, for lateral exchange variability with periods of 7 and 14 days, the influence of the shoal ecosystem on the channel ecosystem is sensitive to the phasing of exchange relative to the spring-neap cycle, due to the fact that neap tide exchanges can create stratification events that are larger in magnitude and duration than would occur in the absence of lateral exchange, causing the channel to transition into net positive growth conditions. We conclude that lateral exchange influences the estuarine ecosystem both directly, through the exchange of biomass between shoals with net positive growth and adjoining channels and indirectly through its role in defining stratification events that allow the channel itself to have net positive growth.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-024-01434-8","usgsCitation":"Engel, L., Lucas, L., and Stacey, M.T., 2025, The role of spring-neap phasing of intermittent lateral exchange in the ecosystem of a channel-shoal estuary: Estuaries and Coasts, v. 48, 22, 23 p., https://doi.org/10.1007/s12237-024-01434-8.","productDescription":"22, 23 p.","ipdsId":"IP-149463","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":466687,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-024-01434-8","text":"Publisher Index Page"},{"id":464529,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","noUsgsAuthors":false,"publicationDate":"2024-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Engel, Lilian 0000-0003-0591-7339","orcid":"https://orcid.org/0000-0003-0591-7339","contributorId":346533,"corporation":false,"usgs":false,"family":"Engel","given":"Lilian","email":"","affiliations":[{"id":82885,"text":"University of California Berkeley & PNNL","active":true,"usgs":false}],"preferred":false,"id":919476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Lisa 0000-0001-7797-5517 llucas@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-5517","contributorId":260498,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"llucas@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":919477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stacey, Mark T. 0000-0002-0952-2812","orcid":"https://orcid.org/0000-0002-0952-2812","contributorId":220770,"corporation":false,"usgs":false,"family":"Stacey","given":"Mark","email":"","middleInitial":"T.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":919478,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70267848,"text":"70267848 - 2025 - Advancing at-risk species recovery planning in an era of rapid ecological change with a transparent, flexible, and expert-engaged approach","interactions":[],"lastModifiedDate":"2025-06-04T14:20:29.211407","indexId":"70267848","displayToPublicDate":"2024-11-19T09:15:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Advancing at-risk species recovery planning in an era of rapid ecological change with a transparent, flexible, and expert-engaged approach","docAbstract":"<p><span>In the face of unprecedented ecological changes, the conservation community needs strategies to recover species at risk of extinction. On the Island of Maui, we collaborated with species experts and managers to assist with climate-resilient recovery planning for 36 at-risk native plant species by identifying priority areas for the management of recovery populations. To do this, we developed a tailored spatial conservation prioritization (SCP) approach distinguished by its emphasis on transparency, flexibility, and expert (TFE) engagement. Our TFE SCP approach consisted of 2 iterative steps: first, the generation of multiple candidate conservation footprints (i.e., prioritization solutions) with a flexible greedy algorithm that reflects conservation practitioners’ priorities and, second, the selection of an optimal conservation footprint based on the consideration of trade-offs in expert-agreed criteria among footprints. This process maximized buy-in by involving conservation practitioners and experts throughout, from setting goals to reviewing optimization data, defining optimization rules, and designating planning units meaningful to practitioners. We minimized the conservation footprint area necessary to meet recovery goals while incorporating species-specific measures of habitat suitability and climate resilience and retaining species-specific information for guiding recovery efforts. Our approach reduced the overall necessary conservation area by 36%, compared with selecting optimal recovery habitats for each species separately, and still identified high-quality habitat for individual species. Compared with prioritizr (an existing SCP tool), our approach identified a conservation area of equal size but with higher quality habitat. By integrating the strengths of existing techniques in a flexible and transparent design, our approach can address natural resource management constraints and provide outputs suitable for local recovery planning, consequently enhancing engagement and buy-in from conservation practitioners and experts. It demonstrates a step forward in making conservation planning more responsive to real-world complexities and helps reduce barriers to implementation for local conservation practitioners.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.14421","usgsCitation":"Fortini, L., Leopold, C., Amidon, F., Leopold, D., Fretz, S., Jacobi, J.D., Mehrhoff, L., Price, J., Duval, F., Kier, M., Oppenheimer, H., Weisenburger, L., and Sutter, R., 2025, Advancing at-risk species recovery planning in an era of rapid ecological change with a transparent, flexible, and expert-engaged approach: Conservation Biology, v. 39, e14421, 12 p., https://doi.org/10.1111/cobi.14421.","productDescription":"e14421, 12 p.","ipdsId":"IP-153553","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":490618,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14421","text":"Publisher Index Page"},{"id":490405,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LKNAR4","text":"USGS data release","linkHelpText":"East Maui, Hawaiʻi optimization of climate resilient habitat for native plant species recovery, 2021"},{"id":489568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"east Maui","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.45181097785934,\n              20.991826078426584\n            ],\n            [\n              -156.45181097785934,\n              20.56560174441134\n            ],\n            [\n              -155.9423014350241,\n              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0000-0003-0499-3196","orcid":"https://orcid.org/0000-0003-0499-3196","contributorId":178961,"corporation":false,"usgs":false,"family":"Leopold","given":"Christina","affiliations":[],"preferred":false,"id":939125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amidon, Fred","contributorId":62934,"corporation":false,"usgs":false,"family":"Amidon","given":"Fred","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":939126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leopold, Devin","contributorId":356341,"corporation":false,"usgs":false,"family":"Leopold","given":"Devin","affiliations":[{"id":84960,"text":"Unaffiliated, Lafayette, CO","active":true,"usgs":false}],"preferred":false,"id":939127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fretz, Scott","contributorId":316851,"corporation":false,"usgs":false,"family":"Fretz","given":"Scott","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":939128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":939129,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mehrhoff, Loyal","contributorId":80150,"corporation":false,"usgs":false,"family":"Mehrhoff","given":"Loyal","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":939130,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Price, Jonathan","contributorId":187456,"corporation":false,"usgs":false,"family":"Price","given":"Jonathan","affiliations":[],"preferred":false,"id":939131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Duval, Fern","contributorId":356342,"corporation":false,"usgs":false,"family":"Duval","given":"Fern","affiliations":[{"id":84963,"text":"State of Hawai‘i, Department of Land and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":939132,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kier, Matthew","contributorId":356343,"corporation":false,"usgs":false,"family":"Kier","given":"Matthew","affiliations":[{"id":84963,"text":"State of Hawai‘i, Department of Land and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":939133,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oppenheimer, Hank","contributorId":356344,"corporation":false,"usgs":false,"family":"Oppenheimer","given":"Hank","affiliations":[{"id":84964,"text":"Maui Nui Plant Extinction Prevention Program","active":true,"usgs":false}],"preferred":false,"id":939134,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weisenburger, Lauren","contributorId":356345,"corporation":false,"usgs":false,"family":"Weisenburger","given":"Lauren","affiliations":[{"id":84965,"text":"U.S. Fish and Wildlife Service, Pacific Islands Fish and Wildlife Office","active":true,"usgs":false}],"preferred":false,"id":939135,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sutter, Robert","contributorId":316853,"corporation":false,"usgs":false,"family":"Sutter","given":"Robert","affiliations":[{"id":68713,"text":"Enduring Conservation Outcomes, LLC","active":true,"usgs":false}],"preferred":false,"id":939136,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70265942,"text":"70265942 - 2025 - Species diversity links land consolidation to rodent disease","interactions":[],"lastModifiedDate":"2025-04-22T17:47:23.485813","indexId":"70265942","displayToPublicDate":"2024-11-18T12:44:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5263,"text":"Nature Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Species diversity links land consolidation to rodent disease","docAbstract":"<p><span>Four decades of data on rodent species composition and hantavirus prevalence across a changing urban–agricultural landscape demonstrate that long-term data are key for understanding links between biodiversity loss and disease dynamics</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41559-024-02584-5","usgsCitation":"Teitelbaum, C.S., 2025, Species diversity links land consolidation to rodent disease: Nature Ecology & Evolution, v. 9, p. 17-18, https://doi.org/10.1038/s41559-024-02584-5.","productDescription":"2 p.","startPage":"17","endPage":"18","ipdsId":"IP-171435","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":484859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Teitelbaum, Claire Stewart 0000-0001-5646-3184","orcid":"https://orcid.org/0000-0001-5646-3184","contributorId":295336,"corporation":false,"usgs":true,"family":"Teitelbaum","given":"Claire","email":"","middleInitial":"Stewart","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":934115,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70263622,"text":"70263622 - 2025 - On algorithmically determined versus traditional macroseismic intensity assignments","interactions":[],"lastModifiedDate":"2025-05-12T15:39:24.317133","indexId":"70263622","displayToPublicDate":"2024-11-18T09:26:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"On algorithmically determined versus traditional macroseismic intensity assignments","docAbstract":"<p><span>The utility of macroseismic data, defined as the effects of earthquakes on humans and the built environment, has been increasingly recognized following the advent of online systems that now produce unprecedented volumes of macroseismic intensity information. Contributed reports from the U.S. Geological Survey “Did You Feel It?” (DYFI) system (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf47\">Wald<span>&nbsp;</span><i>et&nbsp;al</i>., 1999</a><span>) are used to generate intensity values with an algorithm based on seminal work by&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf13\">Dengler and Dewey (1998)</a><span>. The algorithm was developed initially to reproduce intensity values assigned by expert opinion using questionnaire results collected by telephone survey. In this article, I discuss reasons why intensity values from (self‐selected) DYFI responses can differ from values that would be assigned by expert opinion given more complete data from randomly selected participants. For example, with the data used by&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf13\">Dengler and Dewey (1998)</a><span>, intensities near 4 could be determined from the percentage of people who felt shaking in each town. With less spatially rich data from self‐selected participants, this percentage often cannot be determined reliably. Audible noises are key additional diagnostic criteria for modified Mercalli intensity (MMI) 4, but, although the DYFI system includes a question about noise, following&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf13\">Dengler and Dewey (1998)</a><span>, the DYFI algorithm does not include a noise indicator. At the upper end of the scale, as defined the DYFI algorithm yields a maximum intensity value of 9.05, nominally corresponding to peak ground acceleration of 75%</span><i>g</i><span>. These and other factors can result in DYFI values that are low compared to traditional MMI values assigned using expert opinion, even absent factors that can bias traditional MMI assignments. Modern ground‐motion intensity conversion equations determined using DYFI intensities are expected to be appropriate for DYFI intensities, but the results of this study suggest that biases may be introduced if DYFI and traditional intensities are assumed to be interchangeable.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240266","usgsCitation":"Hough, S.E., 2025, On algorithmically determined versus traditional macroseismic intensity assignments: Seismological Research Letters, v. 96, no. 3, p. 1875-1885, https://doi.org/10.1785/0220240266.","productDescription":"11 p.","startPage":"1875","endPage":"1885","ipdsId":"IP-170826","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482158,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927598,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70261082,"text":"70261082 - 2025 - Pathology of lesions in corals from the US Virgin Islands after emergence of stony coral tissue loss disease","interactions":[],"lastModifiedDate":"2025-02-11T15:41:37.73801","indexId":"70261082","displayToPublicDate":"2024-11-18T09:08:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Pathology of lesions in corals from the US Virgin Islands after emergence of stony coral tissue loss disease","docAbstract":"<p><span>Stony coral tissue loss disease (SCTLD) was first documented in Florida in 2014 and has since spread through the Caribbean causing unprecedented mortality in more than 20 species of corals. The cause of SCTLD is unknown, but bacteria are suspected based on regression of gross lesions in some corals treated with antibiotics. Limited pathology studies on SCTLD exist, but it is likely that ‘SCTLD’ is a general term encompassing tissue loss disease of unexplained origin. Here, we examined pathology of lesions in corals from the US Virgin Islands where SCTLD has recently emerged. The typical histologic lesion of SCTLD in Florida corals was lytic necrosis comprising vacuolation and necrosis of mucus cells with erosion of mesoglea and misshapen endosymbionts with variably sized intracytoplasmic granules and common occurrence of filamentous viral-like particles in endosymbionts visible on electron microscopy (EM). In contrast, USVI corals had mainly lytic mucus cell hypertrophy and necrosis with no involvement of mesoglea, endosymbiont pathology at the light microscopy level was less evident, and VLP were rarely seen on EM. We suspect SCTLD is likely more complex with multiple presentations and potential etiologies depending on geographic region. Further pathological studies from other regions might help refine the case definition of SCTLD.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00338-024-02595-5","usgsCitation":"Work, T.M., Miller, J., Kelley, T., Hawthorn, A.C., Weatherby, T., and Rogers, C., 2025, Pathology of lesions in corals from the US Virgin Islands after emergence of stony coral tissue loss disease: Coral Reefs, v. 44, p. 179-192, https://doi.org/10.1007/s00338-024-02595-5.","productDescription":"14 p.","startPage":"179","endPage":"192","ipdsId":"IP-166422","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":464427,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"U.S. Virgin Islands","otherGeospatial":"St. John","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -64.66517045384137,\n              18.327944111890872\n            ],\n            [\n              -64.65816395729534,\n              18.342416841826363\n            ],\n            [\n              -64.70719998477635,\n              18.37370178516734\n            ],\n            [\n              -64.75788637987523,\n              18.375661114474894\n            ],\n            [\n              -64.79785306723443,\n              18.349065240938316\n            ],\n            [\n              -64.81063254129313,\n              18.32285893388371\n            ],\n            [\n              -64.77972658733694,\n              18.302124780248135\n            ],\n            [\n              -64.69937112137872,\n              18.296261220681316\n            ],\n            [\n              -64.66517045384137,\n              18.327944111890872\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":919135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Jeff","contributorId":204570,"corporation":false,"usgs":false,"family":"Miller","given":"Jeff","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":919136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Thomas","contributorId":225507,"corporation":false,"usgs":false,"family":"Kelley","given":"Thomas","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":919137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawthorn, Aine C. 0000-0002-8029-1383","orcid":"https://orcid.org/0000-0002-8029-1383","contributorId":292709,"corporation":false,"usgs":true,"family":"Hawthorn","given":"Aine","email":"","middleInitial":"C.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":919138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weatherby, Tina","contributorId":193516,"corporation":false,"usgs":false,"family":"Weatherby","given":"Tina","affiliations":[],"preferred":false,"id":919139,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogers, Caroline 0000-0001-9056-6961","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":223023,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":919140,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263705,"text":"70263705 - 2025 - Estimation of contact time among animals from telemetry data","interactions":[],"lastModifiedDate":"2025-04-28T14:59:50.353412","indexId":"70263705","displayToPublicDate":"2024-11-14T13:13:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20078,"text":"The American Statistician","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of contact time among animals from telemetry data","docAbstract":"<p>Continuous processes in most applications are measured discretely with error. This complicates the task of detecting intersections and the number of intersections between two continuous processes (i.e., when the processes have the same value). Intersections of continuous processes are scientifically important but challenging to estimate from data. For example, in the field of animal ecology, intersections of the paths of moving animals tracked with satellite technologies can be used to understand disease transmission. We illustrate how to quantify contact between animals using telemetry data (i.e., the recorded locations of an animal over time). We introduce our method to quantify contact time with accessible concepts from introductory stochastic process literature, such as Brownian motion. Then, we provide two data examples using white-tailed deer (<i>Odocoileus virginianus</i>) and mule deer (<i>Odocoileus hemionus)</i> telemetry data in a region with high prevalence of chronic wasting disease. Our work provides a needed connection between existing model-based literature for animal movement and rule-based literature for animal interaction. Further, our work illustrates a unique statistical problem receiving minimal attention with broad applicability in human and livestock tracking.&nbsp;</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00031305.2024.2402264","usgsCitation":"Whetten, A., Hefley, T., and Haukos, D.A., 2025, Estimation of contact time among animals from telemetry data: The American Statistician, v. 79, no. 2, p. 265-274, https://doi.org/10.1080/00031305.2024.2402264.","productDescription":"10 p.","startPage":"265","endPage":"274","ipdsId":"IP-156550","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487815,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00031305.2024.2402264","text":"Publisher Index Page"},{"id":482301,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Whetten, Andrew B.","contributorId":351104,"corporation":false,"usgs":false,"family":"Whetten","given":"Andrew B.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":927906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hefley, Trevor J.","contributorId":351105,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor J.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":927907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":927908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266063,"text":"70266063 - 2025 - Balancing the scales: Including under-represented herptile species in a One Health approach","interactions":[],"lastModifiedDate":"2025-04-24T14:51:45.920272","indexId":"70266063","displayToPublicDate":"2024-11-14T09:37:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21208,"text":"Research Directions: One Health","active":true,"publicationSubtype":{"id":10}},"title":"Balancing the scales: Including under-represented herptile species in a One Health approach","docAbstract":"<p><span>The One Health High-Level Expert Panel’s definition of One Health includes optimizing the health of people, animals (wild and domestic) and ecosystems. For many One Health practitioners, wildlife that can spread zoonoses are the focus, particularly if they can come in contact with people. However, ecosystem health is often best-indicated by less-encountered species, for instance, amphibians and reptiles. This review highlights how these taxa can benefit human health and well-being, including cultural significance, as well as their impact on plant, animal and environmental health. We highlight current challenges to the health of these species and the need to include them in the One Health Joint Action Plan. We conclude with a call to action for inclusion of amphibians and reptiles in a One Health approach.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/one.2024.14","usgsCitation":"Hopkins, M., Lesbarrères, D., Claunch, N., Emmenegger, E.J., Hardy, B., Torres-Sánchez, M., Stark, T., Julian, A., McGrath-Blaser, S., Parker-Graham, C., Haman, K., Morgan, A., and Miller, D.C., 2025, Balancing the scales: Including under-represented herptile species in a One Health approach: Research Directions: One Health, v. 2, e17, 10 p., https://doi.org/10.1017/one.2024.14.","productDescription":"e17, 10 p.","ipdsId":"IP-152995","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":487899,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/one.2024.14","text":"Publisher Index Page"},{"id":484977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Hopkins, M. Camille 0000-0003-1465-6038","orcid":"https://orcid.org/0000-0003-1465-6038","contributorId":219531,"corporation":false,"usgs":true,"family":"Hopkins","given":"M. Camille","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":934482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lesbarrères, David","contributorId":353799,"corporation":false,"usgs":false,"family":"Lesbarrères","given":"David","affiliations":[],"preferred":false,"id":934493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claunch, Natalie 0000-0003-3144-4192","orcid":"https://orcid.org/0000-0003-3144-4192","contributorId":353783,"corporation":false,"usgs":false,"family":"Claunch","given":"Natalie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":934484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Emmenegger, Eveline J. 0000-0001-5217-6030 eemmenegger@usgs.gov","orcid":"https://orcid.org/0000-0001-5217-6030","contributorId":2434,"corporation":false,"usgs":true,"family":"Emmenegger","given":"Eveline","email":"eemmenegger@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":934485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hardy, Bennett 0000-0003-4128-0734","orcid":"https://orcid.org/0000-0003-4128-0734","contributorId":353786,"corporation":false,"usgs":false,"family":"Hardy","given":"Bennett","affiliations":[],"preferred":false,"id":934486,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torres-Sánchez, María 0000-0001-8484-9279","orcid":"https://orcid.org/0000-0001-8484-9279","contributorId":353788,"corporation":false,"usgs":false,"family":"Torres-Sánchez","given":"María","affiliations":[],"preferred":false,"id":934487,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stark, Tariq","contributorId":353789,"corporation":false,"usgs":false,"family":"Stark","given":"Tariq","affiliations":[],"preferred":false,"id":934488,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Julian, Angela","contributorId":353790,"corporation":false,"usgs":false,"family":"Julian","given":"Angela","affiliations":[],"preferred":false,"id":934489,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McGrath-Blaser, Sarah","contributorId":353792,"corporation":false,"usgs":false,"family":"McGrath-Blaser","given":"Sarah","affiliations":[],"preferred":false,"id":934490,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parker-Graham, Christine","contributorId":353794,"corporation":false,"usgs":false,"family":"Parker-Graham","given":"Christine","affiliations":[],"preferred":false,"id":934491,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Haman, Katie","contributorId":353797,"corporation":false,"usgs":false,"family":"Haman","given":"Katie","affiliations":[],"preferred":false,"id":934492,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Morgan, Ashley","contributorId":353868,"corporation":false,"usgs":false,"family":"Morgan","given":"Ashley","affiliations":[],"preferred":false,"id":934581,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Miller, Debra C.","contributorId":173088,"corporation":false,"usgs":false,"family":"Miller","given":"Debra","email":"","middleInitial":"C.","affiliations":[{"id":27147,"text":"U.S. Forest Service, Rocky Mountain Region, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":934483,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70264170,"text":"70264170 - 2025 - Scalable, data-assimilated models predict large-scale shoreline response to waves and sea-level rise","interactions":[],"lastModifiedDate":"2025-03-07T14:45:49.03186","indexId":"70264170","displayToPublicDate":"2024-11-14T08:39:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Scalable, data-assimilated models predict large-scale shoreline response to waves and sea-level rise","docAbstract":"<p><span>Coastal change is a complex combination of multi-scale processes (e.g., wave-driven cross-shore and longshore transport; dune, bluff, and cliff erosion; overwash; fluvial and inlet sediment supply; and sea-level-driven recession). Historical sea-level-driven coastal recession on open ocean coasts is often outpaced by wave-driven change. However, future sea-level-driven coastal recession is expected to increase significantly in tandem with accelerating rates of global sea-level rise. Few models of coastal sediment transport can resolve the multitude of coastal-change processes at a given beach, and fewer still are computationally efficient enough to achieve large-scale, long-term simulations, while accounting for historical behavior and uncertainties in future climate. Here, we show that a scalable, data-assimilated shoreline-change model can achieve realistic simulations of long-term coastal change and uncertainty across large coastal regions. As part of the modeling case study of the U.S. South Atlantic Coast (Miami, Florida to Delaware Bay) presented here, we apply historical, satellite-derived observations of shoreline position combined with daily hindcasted and projected wave and sea-level conditions to estimate long-term coastal change by 2100. We find that 63 to 94% of the shorelines on the U.S. South Atlantic Coast are projected to retreat past the present-day extent of sandy beach under 1.0 to 2.0&nbsp;m of sea-level rise, respectively, without large-scale interventions.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-77030-4","usgsCitation":"Vitousek, S., Vos, K., Splinter, K.D., Parker, K.A., O'Neill, A., Foxgrover, A.C., Hayden, M.K., Thomas, J.A., Erikson, L.H., and Barnard, P.L., 2025, Scalable, data-assimilated models predict large-scale shoreline response to waves and sea-level rise: Scientific Reports, v. 14, 28029, 12 p., https://doi.org/10.1038/s41598-024-77030-4.","productDescription":"28029, 12 p.","ipdsId":"IP-160954","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":486935,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-77030-4","text":"Publisher Index Page"},{"id":483044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Hatteras","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.54,\n              35.275\n            ],\n            [\n              -75.54,\n              35.26\n            ],\n            [\n              -75.5,\n              35.26\n            ],\n            [\n              -75.5,\n              35.275\n            ],\n            [\n              -75.54,\n              35.275\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vos, Kilian","contributorId":302610,"corporation":false,"usgs":false,"family":"Vos","given":"Kilian","affiliations":[{"id":65517,"text":"University of New South Wales - Sydney","active":true,"usgs":false}],"preferred":false,"id":929994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Splinter, Kristen D.","contributorId":147358,"corporation":false,"usgs":false,"family":"Splinter","given":"Kristen","email":"","middleInitial":"D.","affiliations":[{"id":16827,"text":"UNSW Australia","active":true,"usgs":false}],"preferred":false,"id":929995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parker, Kai Alexander 0000-0002-0268-3891","orcid":"https://orcid.org/0000-0002-0268-3891","contributorId":292869,"corporation":false,"usgs":true,"family":"Parker","given":"Kai","email":"","middleInitial":"Alexander","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929998,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayden, Maya Kumari 0000-0002-8650-7931","orcid":"https://orcid.org/0000-0002-8650-7931","contributorId":303130,"corporation":false,"usgs":true,"family":"Hayden","given":"Maya","email":"","middleInitial":"Kumari","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929999,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thomas, Jennifer Anne 0000-0002-8338-0146","orcid":"https://orcid.org/0000-0002-8338-0146","contributorId":297988,"corporation":false,"usgs":true,"family":"Thomas","given":"Jennifer","email":"","middleInitial":"Anne","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":930000,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":930001,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":930002,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70261185,"text":"70261185 - 2025 - Secondary contact erodes Pleistocene diversification in a wide-ranging freshwater mussel (Quadrula)","interactions":[],"lastModifiedDate":"2024-12-26T16:59:04.073931","indexId":"70261185","displayToPublicDate":"2024-11-14T07:46:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Secondary contact erodes Pleistocene diversification in a wide-ranging freshwater mussel (Quadrula)","docAbstract":"<p>The isolated river drainages of eastern North America serve as a natural laboratory to investigate the roles of allopatry and secondary contact in the evolutionary trajectories of recently diverged lineages. Drainage divides facilitate allopatric speciation, but due to their sensitivity to climatic and geomorphological changes, neighboring rivers frequently coalesce, creating recurrent opportunities of isolation and contact throughout the history of aquatic lineages. The freshwater mussel <i>Quadrula quadrula</i> is widely distributed across isolated rivers of eastern North America and possesses high phenotypic and molecular variation across its range. We integrate sequence data from three genomes, including female- and male-inherited mitochondrial markers and thousands of nuclear encoded SNPs with morphology and geography to illuminate the group's divergence history. Across contemporary isolated rivers, we found continuums of molecular and morphological variation, following a pattern of isolation by distance. In contact zones, hybridization was frequent with no apparent fitness consequences, as advanced hybrids were common. Accordingly, we recognize <i>Q. quadrula</i> as a single cohesive species with subspecific variation (<i>Q. quadrula rumphiana</i>). Demographic modeling and divergence dating supported a divergence history characterized by allopatric vicariance followed by secondary contact, likely driven by river rearrangements and Pleistocene glacial cycles. Despite clinal range-wide variation and hybridization in contact zones, the process-based species delimitation tool delimitR, which considers demographic scenarios like secondary contact, supported the delimitation of the maximum number of species tested. As such, when interpreting species delimitation results, we suggest careful consideration of spatial sampling and subsequent geographic patterns of biological variation, particularly for wide-ranging taxa.</p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.17572","usgsCitation":"Keogh, S.M., Johnson, N., Smith, C.H., Sietman, B.E., Garner, J.T., Randklev, C.R., and Simons, A.M., 2025, Secondary contact erodes Pleistocene diversification in a wide-ranging freshwater mussel (Quadrula): Molecular Ecology, v. 34, no. 1, e17572, 17 p., https://doi.org/10.1111/mec.17572.","productDescription":"e17572, 17 p.","ipdsId":"IP-165898","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466688,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.17572","text":"Publisher Index Page"},{"id":464564,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"eastern North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.79518453570998,\n              48.86770340057694\n            ],\n            [\n              -95.96731836177673,\n              29.258070106398577\n            ],\n            [\n              -84.53215909329656,\n              30.47254198164042\n            ],\n            [\n              -78.95511226061333,\n              36.016970552533074\n            ],\n            [\n              -79.38782010059755,\n              42.839690061988605\n            ],\n            [\n              -83.41585431922942,\n              48.86770340057694\n            ],\n            [\n              -94.79518453570998,\n              48.86770340057694\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Keogh, Sean M.","contributorId":255502,"corporation":false,"usgs":false,"family":"Keogh","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":919550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nathan 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":216876,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":919551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Chase H. 0000-0002-1499-0311","orcid":"https://orcid.org/0000-0002-1499-0311","contributorId":225140,"corporation":false,"usgs":false,"family":"Smith","given":"Chase","email":"","middleInitial":"H.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":919552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sietman, Bernard E.","contributorId":196565,"corporation":false,"usgs":false,"family":"Sietman","given":"Bernard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":919553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garner, Jeffrey T.","contributorId":201224,"corporation":false,"usgs":false,"family":"Garner","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":919554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Randklev, Charles R.","contributorId":202530,"corporation":false,"usgs":false,"family":"Randklev","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":919555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Simons, Andrew M.","contributorId":346568,"corporation":false,"usgs":false,"family":"Simons","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":919556,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70260958,"text":"70260958 - 2025 - Patchy response of cheatgrass and nontarget vegetation to indaziflam and imazapic applied after wildfire in sagebrush steppe","interactions":[],"lastModifiedDate":"2024-12-10T15:35:45.732803","indexId":"70260958","displayToPublicDate":"2024-11-13T08:06:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6002,"text":"Rangeland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"Patchy response of cheatgrass and nontarget vegetation to indaziflam and imazapic applied after wildfire in sagebrush steppe","docAbstract":"<p><span>Control of nonnative grasses is needed where they are altering fire regimes and degrading rangelands, such as cheatgrass (</span><i>Bromus tectorum</i><span>) invasion of perennial sagebrush-steppe communities. Aerial broadcast of the pre-emergent and postemergent herbicide imazapic has been used for decades over vast areas to control cheatgrass after fire. Recent small-scale studies indicate that the pre-emergent herbicide indaziflam may provide more enduring cheatgrass control. We evaluated landscape-level vegetation responses to indaziflam sprayed in replicated areas at 66.7 g · ai · ha</span><sup>−1</sup><span>, with and without imazapic (66.1 g · ai · ha</span><sup>−1</sup><span>) over almost 500 ha of sagebrush steppe. Herbicides were strip-sprayed by helicopter in the fall of 2019 in subregions that either 1) had burned in the summer of 2019 and had moderate background cheatgrass invasion, 2) had burned in 2011 and became heavily invaded, or 3) were burned in both 2011 and 2019 and had intermediate invasion. Tarps were temporarily deployed to intercept herbicides and create untreated controls. Overall, indaziflam + imazapic had greater initial control of cheatgrass, but by 2023, both treatments led to similar ∼17 percentage-point reductions in cheatgrass cover. Cheatgrass individuals that “escaped” the herbicide treatment grew exceptionally large and fecund. There were no reductions in cover in any native vegetation type, including biocrusts, and nontarget increases in cover were observed for 1) deep-rooted perennial grasses treated with indaziflam + imazapic in the 2011 burn subregion and 2) the shallow-rooted Sandberg bluegrass (</span><i>Poa secunda</i><span>) treated with either herbicide in the 2011 or 2011 + 2019 burn subregions. Consideration of burn legacies, pretreatment landscape condition, and evenness of treatment application may improve restoration outcomes and help prioritize management allocation, timing, and treatment expectations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.08.029","usgsCitation":"Kluender, C.R., Germino, M., Lazarus, B., and Matthews, T., 2025, Patchy response of cheatgrass and nontarget vegetation to indaziflam and imazapic applied after wildfire in sagebrush steppe: Rangeland Ecology & Management, v. 98, p. 432-440, https://doi.org/10.1016/j.rama.2024.08.029.","productDescription":"9 p.","startPage":"432","endPage":"440","ipdsId":"IP-157759","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":464227,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Minidoka National Wildlife Refuge, Snake River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.41365225404999,\n              42.685295547866104\n            ],\n            [\n              -113.41365225404999,\n              42.63884670231093\n            ],\n            [\n              -113.30724089899061,\n              42.63884670231093\n            ],\n            [\n              -113.30724089899061,\n              42.685295547866104\n            ],\n            [\n              -113.41365225404999,\n              42.685295547866104\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kluender, Chad Raymond 0000-0002-4108-4437","orcid":"https://orcid.org/0000-0002-4108-4437","contributorId":296077,"corporation":false,"usgs":true,"family":"Kluender","given":"Chad","email":"","middleInitial":"Raymond","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lazarus, Brynne E. 0000-0002-6352-486X","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":242732,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matthews, Ty","contributorId":280032,"corporation":false,"usgs":false,"family":"Matthews","given":"Ty","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":918698,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70265976,"text":"70265976 - 2025 - Predicting the response of fish populations to changes in river connectivity using individual-based models","interactions":[],"lastModifiedDate":"2025-04-23T14:37:43.198037","indexId":"70265976","displayToPublicDate":"2024-11-12T09:33:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the response of fish populations to changes in river connectivity using individual-based models","docAbstract":"<p><span>Barrier removal restores physical stream processes and improves accessibility of critical habitats to migratory fishes. Although increasing connectivity benefits stream systems and migratory fishes, barrier removals may also lead to increased production of undesirable or invasive migratory species, as well as myriad other concerns (e.g., reduced recreational opportunities). Few studies have predicted how migratory fish populations will respond to enhanced fish passage, despite being a critical step in the decision-making process. We developed an individual-based model framework to forecast the response of migratory fishes to changes in connectivity and applied the framework to six species under multiple fish passage scenarios for the FishPass project on the Boardman River, MI, which outlets into Lake Michigan. Population response to barrier removal was species-specific and varied based on initial population size and distribution within the watershed, number of fish passed upstream, and species life history traits. Species restricted to below the barrier prior to removal benefitted most; non-native species were found to have greater production potential under full passage scenarios than native Great Lakes species. With increasing passage of non-native Pacific salmonids, steelhead&nbsp;</span><i>Oncorhynchus mykiss</i><span>&nbsp;surpassed brook trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;as the system’s dominant species. Our results will inform decision-makers on management alternatives for fish passage on the Boardman River and our model framework can be modified, updated, and applied to additional river systems as more barrier removal projects are conducted in the future.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102463","usgsCitation":"Flinn, S., Brenden, T., and Robinson, K.F., 2025, Predicting the response of fish populations to changes in river connectivity using individual-based models: Journal of Great Lakes Research, v. 51, 102463, 11 p., https://doi.org/10.1016/j.jglr.2024.102463.","productDescription":"102463, 11 p.","ipdsId":"IP-157868","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":498003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102463","text":"Publisher Index Page"},{"id":484916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Boardman River basin, Grand Traverse Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.70529794321693,\n              44.806278216910755\n            ],\n            [\n              -85.70529794321693,\n              44.56839886944769\n            ],\n            [\n              -85.07485608941084,\n              44.56839886944769\n            ],\n            [\n              -85.07485608941084,\n              44.806278216910755\n            ],\n            [\n              -85.70529794321693,\n              44.806278216910755\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","noUsgsAuthors":false,"publicationDate":"2024-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Flinn, Shane","contributorId":353643,"corporation":false,"usgs":false,"family":"Flinn","given":"Shane","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":934221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenden, Travis","contributorId":353644,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":934222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934223,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70260950,"text":"70260950 - 2025 - Evidence for low effective stress within the crust of the subducted Gorda plate from the 2022 December Mw 6.4 Ferndale earthquake sequence","interactions":[],"lastModifiedDate":"2025-05-12T15:36:43.818635","indexId":"70260950","displayToPublicDate":"2024-11-12T09:32:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for low effective stress within the crust of the subducted Gorda plate from the 2022 December Mw 6.4 Ferndale earthquake sequence","docAbstract":"<p>Stress levels on and adjacent to megathrust faults at seismogenic depths remain a key but difficult to constrain parameter for assessing seismic hazard in subduction zones. Although strong ground motions have been observed to be generated from distinct, high-stress regions on the downdip end of the megathrust rupture areas in many great earthquakes, we lack direct constraints on the stress level in the lower seismogenic portion of the Cascadia megathrust. On 2022 December 20, a M<sub>w</sub> 6.4 strike-slip earthquake occurred near Ferndale, California in southern Cascadia and likely ruptured the Gorda slab crust in the lower seismogenic portion, providing an opportunity to assess the stress level in this region. Here, we relocate the Ferndale mainshock and the first two weeks of aftershocks using a high-resolution 3-D velocity model and estimate rupture dimensions, directivity, and stress drop for several M<sub>w </sub>4-5 aftershocks and recent earthquakes. The aftershocks define a strike-slip fault in the slab crust striking ENE, consistent with the mainshock focal mechanism. The orientation of this fault is about 45<span>°</span> off the ideally oriented fault plane given the stress state in the slab. The aftershock zone is extensive and broad in the forward direction of the mainshock rupture but still constrained within the volume of high <i>Vp/Vs</i> within the slab crust. Our stress drop estimates are generally lower for M<sub>w </sub>4-5 earthquakes located within the slab crust compared to those a few km deeper in the slab mantle. Combined, our results support a relatively low effective stress level in the vicinity of the megathrust in the lower portion of the seismogenic zone in southern Cascadia, likely due to elevated fluid pressures. Consequently, the ground motion in the onshore region above this low-stress seismogenic portion in southern Cascadia may not be as intense as that observed during great earthquakes in other subduction zones.</p>","language":"English","publisher":"GeoScience World","doi":"10.1785/0220240078","usgsCitation":"Guo, H., Atterholt, J.W., McGuire, J., and Thurber, C., 2025, Evidence for low effective stress within the crust of the subducted Gorda plate from the 2022 December Mw 6.4 Ferndale earthquake sequence: Seismological Research Letters, v. 96, no. 3, p. 1504-1520, https://doi.org/10.1785/0220240078.","productDescription":"17 p.","startPage":"1504","endPage":"1520","ipdsId":"IP-156755","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":464233,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ferndale","otherGeospatial":"Cascadia subduction zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.67342574307676,\n              40.78895839935356\n            ],\n            [\n              -124.67342574307676,\n              39.99324983126681\n            ],\n            [\n              -124.00854458806577,\n              39.99324983126681\n            ],\n            [\n              -124.00854458806577,\n              40.78895839935356\n            ],\n            [\n              -124.67342574307676,\n              40.78895839935356\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"96","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Guo, Hao","contributorId":261277,"corporation":false,"usgs":false,"family":"Guo","given":"Hao","email":"","affiliations":[{"id":52789,"text":"Univ. of Science and Technology of China","active":true,"usgs":false}],"preferred":false,"id":918678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atterholt, James W.","contributorId":346328,"corporation":false,"usgs":false,"family":"Atterholt","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":918679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":219786,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":918680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thurber, Clifford","contributorId":44067,"corporation":false,"usgs":true,"family":"Thurber","given":"Clifford","affiliations":[],"preferred":false,"id":918681,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266319,"text":"70266319 - 2025 - The underlying causes of differential migration: Assumptions, hypotheses, and predictions","interactions":[],"lastModifiedDate":"2025-05-05T15:14:19.779988","indexId":"70266319","displayToPublicDate":"2024-11-10T10:12:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The underlying causes of differential migration: Assumptions, hypotheses, and predictions","docAbstract":"<p><span>Mechanisms governing the migratory decisions of birds have long fascinated ecologists and sparked considerable debate. Identifying factors responsible for variation in migration distance, also known as differential migration, has been a popular approach to understanding the mechanisms underlying migratory behaviour more generally. However, research progress has been slowed by the continued testing of overlapping, non-mechanistic, and circular predictions among a small set of historically entrenched hypotheses. We highlight the body size hypothesis and suggest that the predictions commonly tested have impeded progress because body size relationships with migration distance are predictions made by several distinct hypotheses with contrasting mechanisms. The cost of migration itself has not been adequately accounted for in most hypotheses, and we propose two flight efficiency hypotheses with time- and energy-minimizing mechanisms that allow individuals to mitigate the risks inherent to longer migrations. We also advance two conceptual versions of the social dominance hypothesis based on two distinct underlying mechanisms related to distance minimization and food maximization that will help clarify the role of competition in driving migratory decisions. Overall, we describe and refine 12 mechanistic hypotheses proposed to explain differential migration (along with several other special-case hypotheses), seven of which have underlying mechanisms related to food limitation as past research has identified this to be an important driver of differential migration. We also thoroughly reviewed 145 publications to assess the amount of support for 10 critical assumptions underlying alternative hypotheses for differential migration in birds. Our review reveals that surprisingly few studies explicitly evaluate assumptions within a differential migration context. Generating and testing strong predictions and critical assumptions underlying mechanisms of alternative hypotheses will improve our ability to differentiate among these explanations of differential migration. Additionally, future intraspecific progress will be greatest if investigators continue to focus on mechanisms underlying variation in migration distance within rather than among demographic classes, as previous research has found differing mechanisms to be responsible for differential migration among demographic classes. Interspecifically, a thorough comparative analysis that seeks to explain variation in migration distance among species would broaden both our understanding of the mechanisms regulating current differential migration patterns and those that led to the evolution of migration more generally. Collectively, we provide a framework that, together with advances in animal-borne tracking and other technology, can be used to advance our understanding of the causes of differential migration distance, and migratory decisions more generally.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/brv.13160","usgsCitation":"Paprocki, N., and Conway, C.J., 2025, The underlying causes of differential migration: Assumptions, hypotheses, and predictions: Biological Reviews, v. 100, no. 2, p. 764-789, https://doi.org/10.1111/brv.13160.","productDescription":"26 p.","startPage":"764","endPage":"789","ipdsId":"IP-166149","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":496430,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/brv.13160","text":"Publisher Index Page"},{"id":485384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Paprocki, N","contributorId":354403,"corporation":false,"usgs":false,"family":"Paprocki","given":"N","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935580,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70261912,"text":"70261912 - 2025 - Phytoplankton assemblage structure, drivers, and thresholds with a focus on harmful algal bloom ecology in the Lake Okeechobee system, Florida, USA","interactions":[],"lastModifiedDate":"2025-02-24T16:56:37.298498","indexId":"70261912","displayToPublicDate":"2024-11-09T09:17:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Phytoplankton assemblage structure, drivers, and thresholds with a focus on harmful algal bloom ecology in the Lake Okeechobee system, Florida, USA","docAbstract":"<p><span>Untangling the complexities of harmful algal bloom (HAB) dynamics is an ongoing effort that requires a fundamental understanding of spatiotemporal phytoplankton patterns and the environmental filters through which assemblages are structured. To this aim, monthly field surveys were conducted from 2019 to 2021 at 21 sites in Lake Okeechobee, Florida – a large, shallow, eutrophic, and heavily managed lake with coastal connectivity that experiences intense and recurrent HABs. Phytoplankton assemblages were strongly spatially structured forming 7 distinct lake zones with significant dissimilarity in composition and total abundance. While successional patterns were not apparent across seasons or wet/dry periods, total phytoplankton abundance was significantly greater towards the end of the wet season. Distance-based linear models using 16 abiotic variables were used to identify significant explanatory variables of spatial and temporal patterns. The spatial model explained 93 % of the variability suggesting deterministic processes largely control spatial patterns. The temporal model explained only 48 % of the temporal variability suggesting stochasticity in lake-wide shifts in assemblages over time. However, the strong spatial structuring of assemblages may preclude lake-wide succession patterns. Total algal abundance metrics were inversely related to nitrate, orthophosphate, and total alkalinity, the strongest explanatory variables of assemblage patterns, suggesting a lag between peak resources and peak abundance as phytoplankton cycle “boom-to-bust” phases. Consistent with this inverse relationship, Threshold Indicator Taxa Analysis returned almost exclusively negative responder indicator taxa for all three explanatory variable gradients. The assemblage-level threshold defined the gradient boundary between boom- and bust-associated indicator taxa. These data contribute novel information about HABs ecology pertinent to management strategies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2024.102744","usgsCitation":"Mazzei, V., Sullivan, K., and Loftin, K.A., 2025, Phytoplankton assemblage structure, drivers, and thresholds with a focus on harmful algal bloom ecology in the Lake Okeechobee system, Florida, USA: Harmful Algae, v. 142, 102744, 13 p., https://doi.org/10.1016/j.hal.2024.102744.","productDescription":"102744, 13 p.","ipdsId":"IP-146701","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":465632,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466773,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hal.2024.102744","text":"Publisher Index Page"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Okeechobee system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.66061775922876,\n              27.44853642210407\n            ],\n            [\n              -81.66061775922876,\n              26.38819227625035\n            ],\n            [\n              -80.19074720470665,\n              26.38819227625035\n            ],\n            [\n              -80.19074720470665,\n              27.44853642210407\n            ],\n            [\n              -81.66061775922876,\n              27.44853642210407\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"142","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mazzei, Viviana 0000-0001-8614-0693 vmazzei@usgs.gov","orcid":"https://orcid.org/0000-0001-8614-0693","contributorId":296094,"corporation":false,"usgs":true,"family":"Mazzei","given":"Viviana","email":"vmazzei@usgs.gov","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":922254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Kristy Lee 0000-0003-1139-1222","orcid":"https://orcid.org/0000-0003-1139-1222","contributorId":296093,"corporation":false,"usgs":true,"family":"Sullivan","given":"Kristy Lee","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":922256,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262210,"text":"70262210 - 2025 - Phenotypic homogenization and potential fitness constraints following non-native introgression in an endemic sportfish","interactions":[],"lastModifiedDate":"2025-01-16T14:28:36.88298","indexId":"70262210","displayToPublicDate":"2024-11-01T11:39:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2273,"text":"Journal of Evolutionary Biology","active":true,"publicationSubtype":{"id":10}},"title":"Phenotypic homogenization and potential fitness constraints following non-native introgression in an endemic sportfish","docAbstract":"<p><span>Introgressive hybridization may lead to contrasting evolutionary outcomes that are difficult to predict since they depend on the fitness effects of endogenous genomic interactions and environmental factors. Conservation of endemic biodiversity may be more effective with require direct measurement of introgressed ancestry and fitness in wild populations, especially for keystone taxa at risk of hybridization following species introductions. We assessed the relationship of non-native ancestry with growth and body condition in the basin-restricted Neosho Bass (</span><i>Micropterus velox</i><span>; NB), focussing on two streams in the NB native range that are admixed extensively with non-native Smallmouth Bass (</span><i>M. dolomieu</i><span>; SMB). We quantified the genetic composition of 116 fish from Big Sugar Creek (</span><i>N</i><span> = 46) and Elk River (</span><i>N</i><span> = 70) at 14 microsatellite loci. Using back-calculated total length-at-age estimated from sagittal otoliths, we assessed whether genetic ancestry explained variation in von Bertalanffy growth model parameters, accounting for sex and stream effects. We then assessed the relationship between ancestry and body condition. We found no differences in growth parameters by sex, stream, or ancestry, suggesting phenotypic homogenization which could be mediated by selection on body size. We found a negative correlation between SMB ancestry and condition, including lower condition in Big Sugar Creek, possibly reflecting a trade-off between maximum length and condition with respect to overall fitness. We show that ongoing non-native introgression, which may be augmented by anthropogenic SMB introductions, may attenuate evolutionary differentiation between species and directly influence fitness, possibly having critical implications for long-term persistence and management of adaptive potential in a popular and ecologically important endemic sportfish.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jeb/voae137","usgsCitation":"Gunn, J.C., Clements, S.J., Adams, G., Sterling, E., Moore, M.J., Volkers, T., and Eggert, L., 2025, Phenotypic homogenization and potential fitness constraints following non-native introgression in an endemic sportfish: Journal of Evolutionary Biology, v. 38, no. 1, p. 94-110, https://doi.org/10.1093/jeb/voae137.","productDescription":"17 p.","startPage":"94","endPage":"110","ipdsId":"IP-163887","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502531,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":466444,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gunn, Joe C.","contributorId":275348,"corporation":false,"usgs":false,"family":"Gunn","given":"Joe","email":"","middleInitial":"C.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":923517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clements, Sarah J.","contributorId":344054,"corporation":false,"usgs":false,"family":"Clements","given":"Sarah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":923518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Grant","contributorId":221867,"corporation":false,"usgs":false,"family":"Adams","given":"Grant","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":923519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sterling, Edward M.","contributorId":348534,"corporation":false,"usgs":false,"family":"Sterling","given":"Edward M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":923520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Michael J. 0000-0002-5495-7049","orcid":"https://orcid.org/0000-0002-5495-7049","contributorId":304258,"corporation":false,"usgs":true,"family":"Moore","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923521,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Volkers, Taylor N.","contributorId":348538,"corporation":false,"usgs":false,"family":"Volkers","given":"Taylor N.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":923522,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eggert, Lori S.","contributorId":348539,"corporation":false,"usgs":false,"family":"Eggert","given":"Lori S.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":923523,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70265466,"text":"70265466 - 2025 - Forest bird population status on Saipan, a small oceanic island","interactions":[],"lastModifiedDate":"2025-04-07T14:48:36.429723","indexId":"70265466","displayToPublicDate":"2024-10-31T09:43:20","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":"Forest bird population status on Saipan, a small oceanic island","docAbstract":"<p><span>Tropical oceanic islands are critical biodiversity hotspots where population monitoring can help to determine the status and trends of rare and endangered species. Saipan is the second largest island in the Mariana Islands and contains many endemic and range-restricted bird species. Surveys of forest birds were conducted on Saipan using point-transect distance sampling, starting in 1982. To determine population status for Saipan avifauna, we generated abundance estimates based on surveys conducted in 1982, 1997, 2007, and 2018. We also assessed community composition by exploring if there were changes in assemblage diversity, total forest bird abundance, and ratio of native to non-native populations over time. For the 2018 survey, there were 5791 detections of 18 species during 242 counts, with six of 18 species detected at &gt; 50 % of the counts and with relatively high abundance, while 12 species were detected at &lt; 50 % of the counts and were uncommon or rare. The most abundant species was Bridled White eye (nosa',&nbsp;</span><i>Zosterops conspicillatus saypani</i><span>) at &gt; 40 birds/ha and the least common species was the Saipan Reed Warbler (gå'ga' karisu,&nbsp;</span><i>Acrocephalus hiwae)</i><span>&nbsp;at &lt; 1 bird/ha. We found that the community composition is becoming slightly more even over time and the overall community abundance is stable (around 375,000 birds), but non-native species have become more common while native species have remained stable. Results from this study can be used to inform conservation management of forest birds in Saipan and contribute to a broader understanding of forest bird status in the Marianas.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2024.e03273","usgsCitation":"Bak, T., Mullin, S., Kohler, E., Eichelberger, B.A., and Camp, R.J., 2025, Forest bird population status on Saipan, a small oceanic island: Global Ecology and Conservation, v. 56, e03273, 13 p., https://doi.org/10.1016/j.gecco.2024.e03273.","productDescription":"e03273, 13 p.","ipdsId":"IP-153479","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":488557,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2024.e03273","text":"Publisher Index Page"},{"id":484243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Commonwealth of the Mariana Islands","otherGeospatial":"Saipan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              145.8423113862238,\n              15.30056214843205\n            ],\n            [\n              145.67365039456445,\n              15.30056214843205\n            ],\n            [\n              145.67365039456445,\n              15.084843679787\n            ],\n            [\n              145.8423113862238,\n              15.084843679787\n            ],\n            [\n              145.8423113862238,\n              15.30056214843205\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"56","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bak, Trevor","contributorId":292157,"corporation":false,"usgs":false,"family":"Bak","given":"Trevor","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":932774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mullin, Steve","contributorId":353061,"corporation":false,"usgs":false,"family":"Mullin","given":"Steve","affiliations":[{"id":84333,"text":"Commonwealth of the Northern Mariana Islands, Department of Lands & Natural Resources, Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":932775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kohler, Emilie","contributorId":353062,"corporation":false,"usgs":false,"family":"Kohler","given":"Emilie","affiliations":[{"id":84333,"text":"Commonwealth of the Northern Mariana Islands, Department of Lands & Natural Resources, Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":932776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eichelberger, Bradley A. 0000-0002-7208-3437","orcid":"https://orcid.org/0000-0002-7208-3437","contributorId":224634,"corporation":false,"usgs":false,"family":"Eichelberger","given":"Bradley","email":"","middleInitial":"A.","affiliations":[{"id":40899,"text":"Division of Fish and Wildlife, Department of Lands and Natural Resources, Saipan, CNMI","active":true,"usgs":false}],"preferred":false,"id":932777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":932778,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70260838,"text":"70260838 - 2025 - Density estimation using spatial capture-recapture analyses: Application to vaccination of prairie dogs against sylvatic plague","interactions":[],"lastModifiedDate":"2024-12-26T16:56:51.840568","indexId":"70260838","displayToPublicDate":"2024-10-30T09:44:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16872,"text":"The Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Density estimation using spatial capture-recapture analyses: Application to vaccination of prairie dogs against sylvatic plague","docAbstract":"<p><span>Prairie dogs are notoriously difficult to enumerate, with previously methods including visual counts, mark-resight, burrow counts, and catch per unit effort. Unlike those methods, spatial capture-recapture (SCR) analyses allow for formal estimation of density along with associated estimates of uncertainty, detection probability, and the size of the average area over which an individual was detected during the study period (referred to as an activity center). Using SCR analyses, we compared density estimates as part of a field trial evaluating the effectiveness of an oral sylvatic plague vaccine in black-tailed prairie dogs (</span><i>Cynomys ludovicianus</i><span>), Gunnison's prairie dogs (</span><i>C. gunnisoni</i><span>), white-tailed prairie dogs (</span><i>C. leucurus</i><span>), and Utah prairie dogs (</span><i>C. parvidens</i><span>) at 11 study areas in the western United States. The study was designed as a matched pairs analysis that included 27 individual paired plots (54 plots), each consisting of a plot treated with vaccine baits and a plot treated with placebo baits. Overall, we captured &gt;3,000 individuals each year on these plots, and recapture rates ranged from 5–87%. For black-tailed prairie dogs, density estimates ranged from 2.7 individuals/ha (95% CI = 2.2–3.3/ha) to 77.3/ha (63.2–94.4/ha), and for Gunnison's prairie dogs, estimates ranged from 11.7/ha (10.6–12.8/ha) to 15.4/ha (14.4–16.7/ha). White-tailed prairie dogs were at their lowest density (3.3/ha, 95% CI = 2.9–3.8/ha) during the first year of the study and their highest density (14.5/ha; 13.5–15.6/ha) during the last year of the study. Utah prairie dog density estimates ranged from a low of 4.0/ha (95% CI = 3.55–4.6/ha) to a high of 20.8/ha (16.8–25.8/ha). Best-fitting models of prairie dog density indicated increasing patterns of density over time on most study plots, negative effects of plague, and positive effects of vaccination. Finally, we found low correlations between catch per unit effort estimates from previous published literature at these sites and our densities estimates. Spatial capture-recapture estimates allowed us to consistently compare treatment effects across space and time, although some exceptions are noted where we observed significant movement between plots within a pair (3 pairs) and when trapping effort between plots or years was not consistent.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22685","collaboration":"USFWS, Colorado Parks and Wildlife","usgsCitation":"Russell, R., Tripp, D.W., Richgels, K., and Rocke, T.E., 2025, Density estimation using spatial capture-recapture analyses: Application to vaccination of prairie dogs against sylvatic plague: The Journal of Wildlife Management, v. 89, no. 1, e22685, 23 p., https://doi.org/10.1002/jwmg.22685.","productDescription":"e22685, 23 p.","ipdsId":"IP-158793","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":498019,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22685","text":"Publisher Index Page"},{"id":463873,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Montana, South Dakota, Utah, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.98561614040628,\n              34.4839827325285\n            ],\n            [\n              -108.73889237969084,\n              37.19778436176638\n            ],\n            [\n              -104.55370848711587,\n              41.09224829273401\n            ],\n            [\n              -104.12449258531782,\n              43.272766046086105\n            ],\n            [\n              -98.14309695950115,\n              43.53751422201606\n            ],\n            [\n              -99.6031401018387,\n              45.20609549050701\n            ],\n            [\n              -104.84540794547388,\n              45.7593468589921\n            ],\n            [\n              -106.25987403193622,\n              48.42027497028673\n            ],\n            [\n              -108.86475524017507,\n              48.24276368606209\n            ],\n            [\n              -110.38662146865491,\n              43.88726413158625\n            ],\n            [\n              -111.05816245806633,\n              39.524130102167646\n            ],\n            [\n              -113.70636242397714,\n              38.23265336260491\n            ],\n            [\n              -113.7362567368962,\n              34.703024548904935\n            ],\n            [\n              -112.98561614040628,\n              34.4839827325285\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":346151,"corporation":false,"usgs":false,"family":"Russell","given":"Robin E.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":918256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tripp, Dan W.","contributorId":346152,"corporation":false,"usgs":false,"family":"Tripp","given":"Dan","email":"","middleInitial":"W.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":918257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richgels, Katherine 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":167016,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":918258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":918259,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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