{"pageNumber":"114","pageRowStart":"2825","pageSize":"25","recordCount":165720,"records":[{"id":70261771,"text":"70261771 - 2025 - Practical application of time-lapse camera imagery to develop water-level data for three hydrologic monitoring sites in Wisconsin during water year 2020","interactions":[],"lastModifiedDate":"2024-12-30T21:17:43.800451","indexId":"70261771","displayToPublicDate":"2024-12-19T11:03:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5836,"text":"Journal of Hydrology X","onlineIssn":"2589-9155","active":true,"publicationSubtype":{"id":10}},"title":"Practical application of time-lapse camera imagery to develop water-level data for three hydrologic monitoring sites in Wisconsin during water year 2020","docAbstract":"Using camera imagery to measure water level (camera-stage) is a well-researched area of study. Previous camera-stage studies have shown promising results when implementing this technology with tight constraints on test conditions. However, there is a need for a more comprehensive evaluation of the extensibility of camera-stage to practical applications. Therefore, the aim of this study was to test a camera-stage method under a wide variety of test conditions to better understand the successes and challenges of using this technology in real-world scenarios. In this study, this approach was tested during Water Year 2020 at three existing U.S. Geological Study (USGS) stream gaging stations in south central Wisconsin that had existing USGS water-level instrumentation. The specific reference objects tested were white pipes and a concrete wall. Since successful application of camera-stage relies on use of suitable images, all captured images in this study were visually inspected to determine suitability for application of camera-stage. Camera-stage measurements were then computed only on images deemed suitable and the results were compared with ground-truth stage values to determine the accuracy. For the purposes of this study, camera-stage values within ±0.10 ft of the actual stage were considered acceptable. One major challenge highlighted was the potential difficulty in obtaining suitable imagery, with the proportion of suitable images varying greatly between the four trials from 38 % to 92 %. The results from applying camera-stage to suitable images were encouraging though, with 79 % to 99 % of evaluated camera-stage values qualifying as acceptable among the four test trials.","language":"English","publisher":"Elsevier","doi":"10.1016/j.hydroa.2024.100199","usgsCitation":"Johnson, K.E., Reneau, P., and Komiskey, M.J., 2025, Practical application of time-lapse camera imagery to develop water-level data for three hydrologic monitoring sites in Wisconsin during water year 2020: Journal of Hydrology X, v. 26, 100199, 12 p., https://doi.org/10.1016/j.hydroa.2024.100199.","productDescription":"100199, 12 p.","ipdsId":"IP-152041","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466673,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hydroa.2024.100199","text":"Publisher Index Page"},{"id":465442,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Sauk County","otherGeospatial":"Lake Redstone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.10509451311265,\n              43.649948800545786\n            ],\n            [\n              -90.10509451311265,\n              43.58310310760555\n            ],\n            [\n              -90.07129958906278,\n              43.58310310760555\n            ],\n            [\n              -90.07129958906278,\n              43.649948800545786\n            ],\n            [\n              -90.10509451311265,\n              43.649948800545786\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Keegan Eland 0000-0003-1940-4542","orcid":"https://orcid.org/0000-0003-1940-4542","contributorId":332782,"corporation":false,"usgs":true,"family":"Johnson","given":"Keegan","email":"","middleInitial":"Eland","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reneau, Paul 0000-0002-1335-7573","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":217293,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Komiskey, Matthew J. 0000-0003-2962-6974 mjkomisk@usgs.gov","orcid":"https://orcid.org/0000-0003-2962-6974","contributorId":1776,"corporation":false,"usgs":true,"family":"Komiskey","given":"Matthew","email":"mjkomisk@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921735,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262529,"text":"70262529 - 2025 - Intersection of wildfire and legacy mining poses risk to water quality","interactions":[],"lastModifiedDate":"2025-01-21T17:01:38.906652","indexId":"70262529","displayToPublicDate":"2024-12-19T10:56:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Intersection of wildfire and legacy mining poses risk to water quality","docAbstract":"<p><span>Mining and wildfires are both landscape disturbances that pose elevated and substantial hazards to water supplies and ecosystems due to increased erosion and transport of sediment, metals, and debris to downstream waters. The risk to water supplies may be amplified when these disturbances occur in the same watershed. This work describes mechanisms by which the intersection of mining and wildfire may lead to elevated metal concentrations in downstream waters: (1) conveyance of metal-rich ash and soil to surface waters, (2) increased dissolution and transport of dissolved metals due to direct contact of precipitation with mine waste, (3) increased erosion and transport of metal-rich sediment from mining waste, (4) remobilization of previously deposited metal-contaminated floodplain sediment by higher postfire flood flows, and (5) increased metal transport from underground mine workings. Predicted increases in wildfire size, frequency, and burn severity, together with the ongoing need for metal resources, indicate that improved mapping, monitoring, modeling, and mitigation techniques are needed to manage the geochemical hazard of the intersection of wildfire and mining and implications for water availability.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c09489","usgsCitation":"Murphy, S.F., Blake, J., Ebel, B., and Martin, D., 2025, Intersection of wildfire and legacy mining poses risk to water quality: Environmental Science and Technology, v. 59, no. 1, p. 35-44, https://doi.org/10.1021/acs.est.4c09489.","productDescription":"10 p.","startPage":"35","endPage":"44","ipdsId":"IP-170471","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":481034,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c09489","text":"Publisher Index Page"},{"id":480837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89,\n              49\n            ],\n            [\n              -125.42179362139984,\n              49\n            ],\n            [\n              -125.42179362139984,\n              26.434634899152996\n            ],\n            [\n              -89,\n              26.434634899152996\n            ],\n            [\n              -89,\n              49\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":924468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":924470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Deborah A. 0000-0001-8237-0838","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":244709,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":924471,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263701,"text":"70263701 - 2025 - Evaluating approaches for integrating species distributions in spatial conservation planning","interactions":[],"lastModifiedDate":"2025-02-24T14:14:51.37261","indexId":"70263701","displayToPublicDate":"2024-12-19T09:17:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating approaches for integrating species distributions in spatial conservation planning","docAbstract":"Map-based decision support tools (DSTs) that use species distributions are an important means of identifying priority areas for conservation. The 2020 Wisconsin Waterfowl Habitat Conservation Strategy (WWHCS) uses a DST to identify priority ecological landscapes and watersheds to guide waterfowl habitat projects. The WWHCS DST relies on waterfowl habitat suitability layers derived through expert opinion in lieu of species distributions, a common approach in DSTs. Given the inherent subjectivity of expert opinion, data-driven species distributions such as those available from citizen science projects, could provide more accurate information and better identify areas important for waterfowl conservation. Here, we explore the application of relative abundance products available through the eBird Status and Trends project as an alternative to expert-derived habitat suitability layers in the WWHCS DST. Our objectives were to compare seasonal species distributions derived from habitat suitability models (expert-derived) and species distribution models (eBird-derived) and determine whether differences influenced DST prioritizations. Correlations between expert- and eBird-derived distributions were generally low to moderate for the breeding and fall layers (ρ: -0.03–0.76), and least for the spring (ρ: -0.49–0.72). There was minimal agreement among top-ranked ecological landscapes (40%) and watersheds (28%) between the expert- and eBird-derived versions of the DST. Overall, our results suggest the DST may benefit from incorporating data-driven species distributions. However, additional work validating eBird relative abundance against professional surveys (e.g., aerial counts) and empirical studies evaluating waterfowl habitat selection and vital rates are important future considerations for the WWHCS DST and waterfowl habitat conservation in Wisconsin.","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13281","usgsCitation":"Winiarski, J., Shipley, A., Fowler, D., Palumbo, M., and Straub, J., 2025, Evaluating approaches for integrating species distributions in spatial conservation planning: Conservation Science and Practice, v. 7, no. 1, e13281, 15 p., https://doi.org/10.1111/csp2.13281.","productDescription":"e13281, 15 p.","ipdsId":"IP-154437","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487659,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13281","text":"Publisher Index Page"},{"id":482268,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Winiarski, Jason M.","contributorId":351090,"corporation":false,"usgs":false,"family":"Winiarski","given":"Jason M.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":927891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shipley, Amy A.","contributorId":351091,"corporation":false,"usgs":false,"family":"Shipley","given":"Amy A.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":927892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":927893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palumbo, Matthew D.","contributorId":351092,"corporation":false,"usgs":false,"family":"Palumbo","given":"Matthew D.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":927894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Straub, Jacob N.","contributorId":351093,"corporation":false,"usgs":false,"family":"Straub","given":"Jacob N.","affiliations":[{"id":83917,"text":"Jacob N. Straub","active":true,"usgs":false}],"preferred":false,"id":927895,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261850,"text":"70261850 - 2025 - A case for occupancy as a state variable for wild bee monitoring","interactions":[],"lastModifiedDate":"2024-12-31T16:24:25.890074","indexId":"70261850","displayToPublicDate":"2024-12-18T11:13:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A case for occupancy as a state variable for wild bee monitoring","docAbstract":"<p>Reports of widespread pollinator declines, data deficiencies, and inabilities to assess status and trends underscore the need for wild bee monitoring. Chief among the challenges with wild bee monitoring is identifying monitoring objectives and state variables. Here we make the case for considering occupancy, the proportion of area occupied, as a primary state variable of interest for monitoring wild bee populations. A focus on occupancy can help to resolve some of the current complications arising from population monitoring of bees. We highlight the strengths of occupancy specifically in the context of wild bee monitoring, drawing from achievements of current monitoring programs of other taxa. We provide guidance for incorporating occupancy models into the design of current and future wild bee monitoring efforts and address important sampling biases to consider when monitoring bee populations. We also stress the importance of developing bee monitoring objectives that result in actionable conservation or improved scientific understanding. Our viewpoint provides a framework for kickstarting monitoring efforts that will better lead to effective conservation actions for wild bees.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110932","usgsCitation":"Otto, C., Woodard, S., and Bailey, L., 2025, A case for occupancy as a state variable for wild bee monitoring: Biological Conservation, v. 302, 110932, 8 p., https://doi.org/10.1016/j.biocon.2024.110932.","productDescription":"110932, 8 p.","ipdsId":"IP-165434","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":466674,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2024.110932","text":"Publisher Index Page"},{"id":465570,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"302","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":922026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodard, S. Hollis","contributorId":347590,"corporation":false,"usgs":false,"family":"Woodard","given":"S. Hollis","affiliations":[{"id":6984,"text":"UC Riverside","active":true,"usgs":false}],"preferred":false,"id":922027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Larissa L.","contributorId":229353,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":922028,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70261880,"text":"70261880 - 2025 - Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways","interactions":[{"subject":{"id":70261121,"text":"70261121 - 2024 - Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways","indexId":"70261121","publicationYear":"2024","noYear":false,"title":"Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways"},"predicate":"SUPERSEDED_BY","object":{"id":70261880,"text":"70261880 - 2025 - Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways","indexId":"70261880","publicationYear":"2025","noYear":false,"title":"Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways"},"id":1}],"lastModifiedDate":"2025-05-27T15:27:07.879775","indexId":"70261880","displayToPublicDate":"2024-12-18T10:28:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways","docAbstract":"<p><span>The Central Valley of California (CVC) and Mid-Atlantic (MA) in the U.S. are both critical sites for nationwide food security, and many waterfowl species annually, especially during the winter, providing feeding and roosting locations for a variety of species. Mapping waterfowl distributions, using NEXRAD, may aid in the adaptive management of important waterfowl habitat and allow various government agencies to better understand the interface between wild and domestic birds and commercial agricultural practices. We used 9 years (2014–2023) of data from the US NEXRAD network to model winter waterfowl relative abundance in the CVC and MA as a function of weather, temporal period, environmental conditions, and landcover characteristics using boosted regression tree modelling. We were able to quantify the variability in effect size of 28 different covariates across space and time within two geographic regions which are critical to nationwide waterfowl management and host a high density of nationally important commercial agriculture. In general, weather, geographic (distance to features), and landcover condition (wetness index) predictors had the strongest relative effect on predicting wintering waterfowl relative abundance in both regions, while effects of land cover composition were more regionally and temporally specific. Increased daily mean temperature was a major predictor of increasing relative waterfowl abundance in both regions throughout the winter. Increasing precipitation had differing effects within regions, increasing relative waterfowl abundance in the MA, while decreasing in general within the CVC. Increasing relative waterfowl abundance in the CVC are strongly tied to the flooding of the landscape and rice availability, whereas waterfowl in the MA, where water is less limiting, are generally governed by waste grain availability and emergent wetland on the landscape. Waterfowl relative abundance in the MA was generally higher nearer to the Atlantic coast and lakes, while in the CVC they were higher nearer to lakes. Our findings promote a better understanding of spatial associations of waterfowl to landscape features and may aid in conservation and biosecurity management protocols.</span></p>","language":"English","publisher":"Nordic Society Oikos","doi":"10.1111/jav.03296","usgsCitation":"Hardy, M., Williams, C.K., Ladman, B.S., Pitesky, M.E., Overton, C.T., Casazza, M.L., Matchett, E., Prosser, D., and Buler, J.J., 2025, Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways: Journal of Avian Biology, v. 2025, no. 3, e03296, 16 p., https://doi.org/10.1111/jav.03296.","productDescription":"e03296, 16 p.","ipdsId":"IP-164600","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":465576,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466708,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/jav.03296","text":"External Repository"}],"country":"United States","state":"California, Delaware, Maryland, New Jersey, North Carolina, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.80539700167103,\n              35.24130047209148\n            ],\n            [\n              -118.52455880536989,\n              35.705136039724024\n            ],\n            [\n              -119.16293845153683,\n              36.70091248537601\n            ],\n            [\n              -121.62299624153891,\n          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K.","contributorId":202263,"corporation":false,"usgs":false,"family":"Williams","given":"Christopher","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":922122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ladman, Brian S.","contributorId":337102,"corporation":false,"usgs":false,"family":"Ladman","given":"Brian","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":922123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitesky, Maurice E.","contributorId":176920,"corporation":false,"usgs":false,"family":"Pitesky","given":"Maurice","email":"","middleInitial":"E.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":922124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922127,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":922128,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Buler, Jeffrey J.","contributorId":194648,"corporation":false,"usgs":false,"family":"Buler","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":922129,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70261725,"text":"70261725 - 2025 - Decision analysis of Integrated Pest Management: A case study on invasive sea lamprey in the Great Lakes Basin","interactions":[],"lastModifiedDate":"2024-12-20T16:40:49.890352","indexId":"70261725","displayToPublicDate":"2024-12-18T10:25:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Decision analysis of Integrated Pest Management: A case study on invasive sea lamprey in the Great Lakes Basin","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><div id=\"abspara0010\" class=\"u-margin-s-bottom\">Integrated Pest Management (IPM) provides a powerful framework for addressing threats to human well-being caused by nuisance species including invasives. We examined the hypothesis that adaptive management could erode barriers to IPM implementation by developing a decision-analytic adaptive management framework for invasive sea lamprey (<i>Petromyzon marinus</i>) IPM in the Laurentian Great Lakes of North America. The framework addressed objectives associated with coordinating multiple sea lamprey control actions at the regional scale and objectives associated with internal validity of control actions. We reduced the scope of possible management actions by orders of magnitude to the set of 6432 alternatives expected to be both socially acceptable and technically feasible. Using utility theory, we identified the management actions that optimized expected utility for all possible objective weighting schemes that considered tradeoffs between maximizing learning about control tactic efficacy and minimizing cost to the IPM program. Sensitivity analyses revealed that assumptions about the social acceptability of deploying electric weirs to control invasive sea lamprey influenced selection of the optimal control action, suggesting that resolving this source of uncertainty through iterative application of the framework may lead to improved sea lamprey control outcomes. Overall, we found that adaptive management enabled learning processes useful for overcoming barriers to IPM of invasive sea lamprey. It formalized learning about sea lamprey control tactic efficacy as an objective of the IPM institution, questioned previously held assumptions about what constitutes a viable control strategy, and enabled a management experiment with temporal and spatial replication.</div></div></div></div><div id=\"reading-assistant-main-body-section\"><br></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2024.123666","usgsCitation":"Lewandoski, S.A., Robinson, K.F., Brenden, T., Booth, R., Hrodey, P., Hume, J.B., Pratt, T., Scott, A., Symbal, M., Wagner, C., and Johnson, N.S., 2025, Decision analysis of Integrated Pest Management: A case study on invasive sea lamprey in the Great Lakes Basin: Journal of Environmental Management, v. 373, 123666, 11 p., https://doi.org/10.1016/j.jenvman.2024.123666.","productDescription":"123666, 11 p.","ipdsId":"IP-170804","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":466675,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2024.123666","text":"Publisher Index Page"},{"id":465403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90,\n              47.5\n            ],\n            [\n              -90,\n              44\n            ],\n            [\n              -83,\n              44\n            ],\n            [\n              -83,\n              47.5\n            ],\n            [\n              -90,\n              47.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"373","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lewandoski, Sean Alois 0000-0002-6801-5861","orcid":"https://orcid.org/0000-0002-6801-5861","contributorId":340324,"corporation":false,"usgs":true,"family":"Lewandoski","given":"Sean","email":"","middleInitial":"Alois","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":921595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":921596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenden, Travis O.","contributorId":276046,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis O.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":921597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booth, Ryan","contributorId":347386,"corporation":false,"usgs":false,"family":"Booth","given":"Ryan","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":921598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hrodey, Peter","contributorId":347387,"corporation":false,"usgs":false,"family":"Hrodey","given":"Peter","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":921599,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hume, John B.","contributorId":150987,"corporation":false,"usgs":false,"family":"Hume","given":"John","email":"","middleInitial":"B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":921600,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pratt, Thomas C.","contributorId":24672,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas C.","affiliations":[],"preferred":false,"id":921601,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scott, Anne M","contributorId":264137,"corporation":false,"usgs":false,"family":"Scott","given":"Anne M","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":921602,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Symbal, Matthew","contributorId":347391,"corporation":false,"usgs":false,"family":"Symbal","given":"Matthew","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":921603,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wagner, C. Michael","contributorId":173006,"corporation":false,"usgs":false,"family":"Wagner","given":"C. Michael","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":921604,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":921605,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70266203,"text":"70266203 - 2025 - Effects of Mycoplasma ovipneumoniae, abundance, and environmental conditions on bighorn sheep lamb:ewe ratios and adult survival in New Mexico","interactions":[],"lastModifiedDate":"2025-04-30T15:22:40.392123","indexId":"70266203","displayToPublicDate":"2024-12-18T08:15:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Effects of Mycoplasma ovipneumoniae, abundance, and environmental conditions on bighorn sheep lamb:ewe ratios and adult survival in New Mexico","docAbstract":"<p><i>Mycoplasma ovipneumoniae</i><span>&nbsp;is a primary causative agent responsible for initiating polymicrobial pneumonia in bighorn sheep (</span><i>Ovis canadensis</i><span>). Infections of bighorn sheep populations are typically characterized by initial all-age epizootics followed by long-term periods of repressed juvenile (lamb) survival. Populations of bighorn sheep in New Mexico, USA, were thought to be free of this pathogen prior to 2017 but recent infection of multiple herds raised concerns regarding impacts on population size and juvenile:female ratios. Using aerial survey, survival, and disease sampling data in an exploratory framework, we (1) characterize age-related differences in&nbsp;</span><i>M. ovipneumoniae</i><span>&nbsp;prevalence and seroprevalence, (2) quantify differences in lamb:ewe ratios pre- and post-</span><i>M. ovipneumoniae</i><span>&nbsp;detection, and (3) investigate differences in survival between previously exposed and naïve individuals. From 2007 to 2022, we sampled 466 bighorn sheep across 19 populations in New Mexico for&nbsp;</span><i>M. ovipneumoniae</i><span>&nbsp;exposure. While the timing of initial herd infections varied across populations, one population sustained active infections for over 15 years. We found reduced juvenile:female ratios post&nbsp;</span><i>M. ovipneumoniae</i><span>&nbsp;exposure for both desert (</span><i>O. c. mexicana</i><span>) and Rocky Mountain (</span><i>O. c. canadensis</i><span>) bighorn sheep populations. Post-exposure ratio declines ranged from 20% to 69%. Evaluation of population size and environmental condition effects on juvenile:female ratios indicated varying impacts for each subspecies. Notably, population size was negatively related to Rocky Mountain juvenile:female ratios only after populations were exposed to&nbsp;</span><i>M. ovipneumoniae</i><span>. Additionally, climatic conditions in the previous lambing season and pre-parturition time frame were associated with juvenile:female ratios for Rocky Mountain populations, while juvenile:female ratios of desert bighorn appeared to only be affected by pre-parturition climatic conditions. Kaplan–Meier survival estimation of previously exposed, but putatively recovered, individuals (</span><i>n</i><span> = 31) and naïve individuals (</span><i>n</i><span> = 70) revealed lower (75%; 95% CI: 62%–93%) but not statistically significant (</span><i>p</i><span> = 0.2) 1-year survival rates for individuals that were seropositive but not actively infected, when compared to seronegative individuals (88%; 95% CI: 81%–97%). These results collectively suggest that following&nbsp;</span><i>M. ovipneumoniae</i><span>&nbsp;introduction, bighorn sheep populations in New Mexico could be limited by lamb survival.</span></p>","language":"English","publisher":"Ecological Society of  America","doi":"10.1002/ecs2.70095","usgsCitation":"Padilla, C., Ruhl, C., Cain, J.W., and Gompper, M., 2025, Effects of Mycoplasma ovipneumoniae, abundance, and environmental conditions on bighorn sheep lamb:ewe ratios and adult survival in New Mexico: Ecosphere, v. 15, no. 12, e70095, 16 p., https://doi.org/10.1002/ecs2.70095.","productDescription":"e70095, 16 p.","ipdsId":"IP-160978","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487888,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70095","text":"Publisher Index Page"},{"id":485206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.10493017089716,\n              36.99701123533072\n            ],\n            [\n              -109.10493017089716,\n              31.32626702398963\n            ],\n            [\n              -108.04838374726572,\n              31.294505749181546\n            ],\n            [\n              -108.10578472127759,\n              31.655212435608266\n            ],\n            [\n              -103.0558174759306,\n              31.858449691798413\n            ],\n            [\n              -102.86724609707606,\n              36.99701123533072\n            ],\n            [\n              -109.10493017089716,\n              36.99701123533072\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Padilla, Colton J.","contributorId":353982,"corporation":false,"usgs":false,"family":"Padilla","given":"Colton J.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":934909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruhl, Caitlin Q.","contributorId":353983,"corporation":false,"usgs":false,"family":"Ruhl","given":"Caitlin Q.","affiliations":[{"id":24672,"text":"New Mexico Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":934910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":934911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gompper, Matthew E.","contributorId":353984,"corporation":false,"usgs":false,"family":"Gompper","given":"Matthew E.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":934912,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263384,"text":"70263384 - 2025 - SCEC/USGS Community Stress Drop Validation Study: How spectral fitting approaches influence measured source parameters","interactions":[],"lastModifiedDate":"2025-05-28T14:46:30.935116","indexId":"70263384","displayToPublicDate":"2024-12-17T11:33:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"SCEC/USGS Community Stress Drop Validation Study: How spectral fitting approaches influence measured source parameters","docAbstract":"<p>Spectral source parameters used to estimate an earthquake’s stress drop (Δσ) can vary significantly across measurement approaches. The Statewide California Earthquake Center/U.S. Geological Survey Community Stress-Drop Validation Study was initiated to compare source parameter estimates, focusing initially on a dataset from the 2019 Ridgecrest earthquake sequence. As part of that validation effort, here we focus on one potential source of uncertainty: whether spectral fitting approaches alone, applied to a common set of spectra from the 2019 Ridgecrest sequence result in different source parameter estimates. By using a common set of benchmark spectra analyzed across a consistent frequency band of 1–40 Hz, we eliminate many sources of variability. A subgroup of validation study participants volunteered to estimate the low-frequency displacement (Ω0) and corner frequency (<i>f</i><sub>c</sub> ) by fitting a smooth function to benchmark displacement spectra. Participants used linear- or log-sampled spectra, assumed a Brune or Boatwright spectral model, and applied different misfit criteria. We compare 17 approaches used to estimate Ω0, <i>f</i><sub>c</sub> , and Δσ for 54 earthquake spectra. Our results reveal that 35% of events have Δσ estimates within a factor of two, whereas others exhibit variations exceeding an order of magnitude. The variability in Ω0 and f c can largely be attributed to whether a spectrum is consistent with the smooth function of an idealized simple crack model. The trade-off between Ω0 and <i>f</i><sub>c</sub> may be more pronounced when using linearly sampled spectra, as higher frequency spectral bumps control the fits. As expected, methods that assumed a Boatwright model tended to have lower Ω0 and somewhat higher f c compared to those assuming a Brune model, although resulting Δσ estimates are similar. When compared to the overall validation study results, the fitting approach alone may account for between 5% and 90% (25% on average) of the total variability in spectral Δσ.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240140","usgsCitation":"Cochran, E.S., Baltay Sundstrom, A.S., Chu, S., Abercrombie, R., Bindi, D., Chen, X., Parker, G.A., Pennington, C., Shearer, P.M., and Trugman, D.T., 2025, SCEC/USGS Community Stress Drop Validation Study: How spectral fitting approaches influence measured source parameters: Bulletin of the Seismological Society of America, v. 115, no. 3, p. 760-776, https://doi.org/10.1785/0120240140.","productDescription":"17 p.","startPage":"760","endPage":"776","ipdsId":"IP-167281","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481806,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.0604945971769,\n              36.16526962047753\n            ],\n            [\n              -118.0604945971769,\n              35.25143920487821\n            ],\n            [\n              -116.9963574607869,\n              35.25143920487821\n            ],\n            [\n              -116.9963574607869,\n              36.16526962047753\n            ],\n            [\n              -118.0604945971769,\n              36.16526962047753\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chu, Shanna","contributorId":350708,"corporation":false,"usgs":false,"family":"Chu","given":"Shanna","affiliations":[{"id":7173,"text":"Rice University","active":true,"usgs":false}],"preferred":false,"id":926728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":926729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bindi, Dino","contributorId":264168,"corporation":false,"usgs":false,"family":"Bindi","given":"Dino","email":"","affiliations":[],"preferred":false,"id":926730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, X.","contributorId":203813,"corporation":false,"usgs":false,"family":"Chen","given":"X.","email":"","affiliations":[{"id":7108,"text":"Princeton Univ.","active":true,"usgs":false}],"preferred":false,"id":926731,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926732,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pennington, Colin","contributorId":329842,"corporation":false,"usgs":false,"family":"Pennington","given":"Colin","affiliations":[{"id":16721,"text":"LLNL","active":true,"usgs":false}],"preferred":false,"id":926733,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shearer, Peter M.","contributorId":197012,"corporation":false,"usgs":false,"family":"Shearer","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":926734,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Trugman, Daniel T.","contributorId":197011,"corporation":false,"usgs":false,"family":"Trugman","given":"Daniel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":926735,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70261946,"text":"70261946 - 2025 - Intra-urban variations in land surface phenology in a semi-arid environment","interactions":[],"lastModifiedDate":"2025-01-06T15:37:37.483741","indexId":"70261946","displayToPublicDate":"2024-12-17T09:28:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Intra-urban variations in land surface phenology in a semi-arid environment","docAbstract":"<p><span>Urban vegetation is growing in importance as cities use 'green infrastructure' to mitigate the impacts of climate change, reduce extreme heat, and improve human health and comfort. However, due to the heterogeneity of city landscapes, urban vegetation experiences a diverse range of environmental conditions, potentially leading to differences in growing season timing and length within cities. Here, we investigate physical drivers of urban land surface phenology and timing within a semi-arid city (Denver, CO, USA) using four years (2018–2021) of remotely sensed vegetation indices, modelled air temperature, and land cover datasets. Within the metropolitan region study area, satellite-based vegetation index measurements indicate that growing season length is variable on sub-neighborhood spatial scales. This variability is largely due to differences in the timing of fall senescence, as opposed to early season growth. Areas with substantial fractions of irrigated land cover tend to remain greener for longer, while unirrigated and cooler areas are correlated with an earlier end to the growing season (up to ∼two months shorter). These findings complement those from non-arid cities where surface and air temperature are the dominant environmental control on phenological timing. Results here indicate the importance of soil moisture for phenology in semi-arid regions and suggest unique semi-arid urban growing season dynamics and temperature-vegetation feedbacks. These interactions have implications for water, heat, and vegetation management strategies to maximize ecosystem services in water-limited environments.</span></p>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ad9759","usgsCitation":"Crawford, B., Kelsey, K., Ibsen, P.C., Rees, A., and Charobee, A., 2025, Intra-urban variations in land surface phenology in a semi-arid environment: Environmental Research Letters, v. 20, no. 1, 014036, 12 p., https://doi.org/10.1088/1748-9326/ad9759.","productDescription":"014036, 12 p.","ipdsId":"IP-162227","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":466676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ad9759","text":"Publisher Index Page"},{"id":465673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Denver","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.26461885813289,\n              39.98298361550752\n            ],\n            [\n              -105.26461885813289,\n              39.07785819197471\n            ],\n            [\n              -104.18241816311294,\n              39.07785819197471\n            ],\n            [\n              -104.18241816311294,\n              39.98298361550752\n            ],\n            [\n              -105.26461885813289,\n              39.98298361550752\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Crawford, Ben","contributorId":347747,"corporation":false,"usgs":false,"family":"Crawford","given":"Ben","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":922372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelsey, Kathy","contributorId":347748,"corporation":false,"usgs":false,"family":"Kelsey","given":"Kathy","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":922373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":922374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rees, Amanda","contributorId":347749,"corporation":false,"usgs":false,"family":"Rees","given":"Amanda","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":922375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Charobee, Amanda","contributorId":347770,"corporation":false,"usgs":false,"family":"Charobee","given":"Amanda","affiliations":[],"preferred":false,"id":922411,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261867,"text":"70261867 - 2025 - Prioritizing US Geological Survey science on salinization and salinity in candidate and selected priority river basins","interactions":[],"lastModifiedDate":"2024-12-31T16:22:41.026156","indexId":"70261867","displayToPublicDate":"2024-12-16T11:22:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16706,"text":"Enviornmental Monitoring and Assessment","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing US Geological Survey science on salinization and salinity in candidate and selected priority river basins","docAbstract":"<p>The US Geological Survey (USGS) is selecting and prioritizing basins, known as Integrated Water Science basins, for monitoring and intensive study. Previous efforts to aid in this selection process include a scientifically defensible and quantitative assessment of basins facing human-caused water resource challenges (Van Metre et al. in <i>Environmental Monitoring and Assessment</i>, 192(7), 458 2020). In the present work, we explore this ranking process based on water quality considerations, specifically salinity and salinization. We selected top candidate basins to study salinity and salinization issues in 18 hydrologic regions that include 163 candidate basins. Our prioritization is based on quantitative assessment of sources of salinity, drivers of change, and receptors that must respond to those sources and drivers. Source terms represented in the prioritization include geology, depth to brackish groundwater, stream conductivity, chloride in precipitation, urban and agricultural land use, application of road salt as a deicer, and irrigation. Drivers represented in prioritization include changes in chemical weathering as a result of changes in rainwater chemistry. Receptors include measures of water stress, measurements of stream ecological health, and socioeconomic factors. In addition, we present research activities for the USGS on salinity and salinization that can be pursued in these basins including assessment of sources, pathways, and loadings; predicting and understanding changes in sources, peaks, and trends; understanding the components of salinity and mobilization of contaminants; understanding the relationship between salinization and changing ecosystems; and developing knowledge on the causes and distribution of groundwater salinity, brackish water resources, and challenges related to desalination.</p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-024-13264-z","usgsCitation":"Conaway, C., Baker, N.T., Brown, C., Green, C.T., and Kent, D.B., 2025, Prioritizing US Geological Survey science on salinization and salinity in candidate and selected priority river basins: Enviornmental Monitoring and Assessment, v. 197, 59, 31 p., https://doi.org/10.1007/s10661-024-13264-z.","productDescription":"59, 31 p.","ipdsId":"IP-156369","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":466677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-024-13264-z","text":"Publisher Index Page"},{"id":465572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"197","noUsgsAuthors":false,"publicationDate":"2024-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Conaway, Christopher H. 0000-0002-0991-033X","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":201932,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":922089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Nancy T. 0000-0002-7979-5744","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":222870,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Craig J. 0000-0002-3858-3964","orcid":"https://orcid.org/0000-0002-3858-3964","contributorId":210450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":922092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":922093,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261691,"text":"70261691 - 2025 - Hypothetical CO2 leakage into, and hydrological plume management within, an underground source of drinking water at a proposed CO2 storage facility, Kemper County, Mississippi, USA","interactions":[],"lastModifiedDate":"2024-12-18T16:53:53.989977","indexId":"70261691","displayToPublicDate":"2024-12-16T10:48:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1541,"text":"Environmental Geosciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Hypothetical CO<sub>2</sub> leakage into, and hydrological plume management within, an underground source of drinking water at a proposed CO<sub>2</sub> storage facility, Kemper County, Mississippi, USA","title":"Hypothetical CO2 leakage into, and hydrological plume management within, an underground source of drinking water at a proposed CO2 storage facility, Kemper County, Mississippi, USA","docAbstract":"<p><span>A large Geologic Carbon Sequestration (GCS) hub has been proposed in Kemper County, Mississippi. The target injection interval consists of numerous Cretaceous-aged deep saline aquifers overlain by a competent and extensive regional sealing layer. Above the seal, the deepest Underground Source of Drinking Water (USDW) at the site is the Eutaw aquifer of the Eutaw Group and McShan Formation, undifferentiated. To assess potential risks of leakage from the deep sequestration reservoir, a model of a portion of the Cretaceous Eutaw Group was constructed in this study. Simulations tested various permeabilities, hypothetical leakage rates, and plume mitigation strategies utilizing existing wells. Results suggest that, under the influence of regional groundwater flow fields, leaking CO</span><sub>2</sub><span>&nbsp;would effectively bypass the existing wells, and to influence this migration would require very large water extraction rates. Therefore, to ensure plume detection, monitoring for leakage at the injection wells themselves is very important.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12665-024-11973-9","usgsCitation":"Plampin, M.R., and Merrill, M., 2025, Hypothetical CO2 leakage into, and hydrological plume management within, an underground source of drinking water at a proposed CO2 storage facility, Kemper County, Mississippi, USA: Environmental Geosciences, v. 84, 18, 11 p., https://doi.org/10.1007/s12665-024-11973-9.","productDescription":"18, 11 p.","ipdsId":"IP-155011","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":466678,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12665-024-11973-9","text":"Publisher Index Page"},{"id":465284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","county":"Kemper County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-88.3461,32.9278],[-88.3559,32.8499],[-88.3727,32.7042],[-88.3883,32.5778],[-88.5413,32.5771],[-88.5538,32.5772],[-88.7878,32.5763],[-88.8014,32.576],[-88.8134,32.5761],[-88.8167,32.5762],[-88.9135,32.5753],[-88.9161,32.8272],[-88.9158,32.8463],[-88.9169,32.9228],[-88.8131,32.9241],[-88.5676,32.9263],[-88.3461,32.9278]]]},\"properties\":{\"name\":\"Kemper\",\"state\":\"MS\"}}]}","volume":"84","noUsgsAuthors":false,"publicationDate":"2024-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Plampin, Michelle R. 0000-0003-4068-5801 mplampin@usgs.gov","orcid":"https://orcid.org/0000-0003-4068-5801","contributorId":204983,"corporation":false,"usgs":true,"family":"Plampin","given":"Michelle","email":"mplampin@usgs.gov","middleInitial":"R.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":921444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":921445,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70261692,"text":"70261692 - 2025 - Deformation of Mauna Loa volcano before, during, and after its 2022 eruption","interactions":[],"lastModifiedDate":"2024-12-18T16:28:52.412428","indexId":"70261692","displayToPublicDate":"2024-12-16T10:24:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Deformation of Mauna Loa volcano before, during, and after its 2022 eruption","docAbstract":"<p><span>Mauna Loa on the Island of Hawaiʻi erupted on 27 November 2022, the first eruption since 1984, which marked the culmination of decades-long period of non-eruptive unrest and relative quiescence. We briefly describe the evolution of the USGS Hawaiian Volcano Observatory’s geodetic monitoring network at Mauna Loa and show patterns of deformation as measured by Global Navigation Satellite Systems (GNSS), interferometric synthetic aperture radar (InSAR), and borehole tilt. We highlight the long-term buildup and the imminent pre-eruptive geodetic signals, including subtle changes observed in early 2021 that suggested a potential eruption. We then describe the significant ramp up of activity in September 2022 that provided strong evidence of likely impending eruptive activity. Of particular importance are the first borehole tilt excursions related to magma movement measured at Mauna Loa’s summit, which began in 2021 and were accompanied by increased rates of seismicity. In addition to describing the evolution of surface displacements, we also model the co-eruption deformation, which can be fit by dike-like opening that matches the geometry of the surface eruptive fissures.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-024-01788-8","usgsCitation":"Ellis, A.P., Johanson, I.A., and Poland, M.P., 2025, Deformation of Mauna Loa volcano before, during, and after its 2022 eruption: Bulletin of Volcanology, v. 86, 8, 21 p., https://doi.org/10.1007/s00445-024-01788-8.","productDescription":"8, 21 p.","ipdsId":"IP-166686","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":465281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.77858977944825,\n              19.66170435533985\n            ],\n            [\n              -155.77858977944825,\n              19.292719970106006\n            ],\n            [\n              -155.33491746947445,\n              19.292719970106006\n            ],\n            [\n              -155.33491746947445,\n              19.66170435533985\n            ],\n            [\n              -155.77858977944825,\n              19.66170435533985\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"86","noUsgsAuthors":false,"publicationDate":"2024-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Ellis, Andria P. 0000-0003-2543-0640","orcid":"https://orcid.org/0000-0003-2543-0640","contributorId":305983,"corporation":false,"usgs":true,"family":"Ellis","given":"Andria","email":"","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":921446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":921447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":921448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266432,"text":"70266432 - 2025 - First records distribution models to guide biosurveillance for non-native species","interactions":[],"lastModifiedDate":"2025-05-06T13:48:33.176393","indexId":"70266432","displayToPublicDate":"2024-12-16T08:44:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"First records distribution models to guide biosurveillance for non-native species","docAbstract":"<p><span>Quickly locating new populations of non-native species can reduce the ecological and economic costs of species invasions. However, the difficulty of predicting which new non-native species will establish, and where, has limited active post-border biosurveillance efforts. Because pathways of introduction underlie spatial patterns of establishment risk, an intuitive approach is to search for new non-native species in areas where many non-native species have first been detected in the past. We formalize this intuition via first records distribution models (FRDMs), which apply species distribution modeling methods to the collection of first occurrence records across species (i.e. one record per species). We define FRDMs as statistical models that quantify environmental conditions associated with species' first naturalized records to predict spatial patterns of establishment risk. We model the first records of non-native plants in the conterminous USA as a proof-of-concept. The novelty of FRDMs is that their inferences apply not just to the species that contributed data; they provide a rigorous framework for predicting hotspots of invasion for new non-native taxa that share a pathway of introduction with the modeled species. FRDMs can guide survey efforts for new non-native taxa at multiple scales and across ecosystems.</span></p>","language":"English","publisher":"Nordic Society Oikos","doi":"10.1111/ecog.07522","usgsCitation":"Sofaer, H., Williams, D.A., Jarnevich, C.S., Shadwell, K.S., Kittle, C., Pearse, I.S., Fortini, L., and Brock, K., 2025, First records distribution models to guide biosurveillance for non-native species: Ecography, v. 2025, no. 4, e07522, 10 p., https://doi.org/10.1111/ecog.07522.","productDescription":"e07522, 10 p.","ipdsId":"IP-162607","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":490101,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.07522","text":"Publisher Index Page"},{"id":485441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                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]\n}","volume":"2025","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Sofaer, Helen R. 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":935917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Demetra A. 0000-0002-5171-8640","orcid":"https://orcid.org/0000-0002-5171-8640","contributorId":332472,"corporation":false,"usgs":false,"family":"Williams","given":"Demetra","email":"","middleInitial":"A.","affiliations":[{"id":79471,"text":"Student contractor to the U.S. Geological Survey, Fort Collins Science Center","active":true,"usgs":false}],"preferred":false,"id":935918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":935919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shadwell, Keana S. 0000-0001-6835-425X","orcid":"https://orcid.org/0000-0001-6835-425X","contributorId":332473,"corporation":false,"usgs":false,"family":"Shadwell","given":"Keana","email":"","middleInitial":"S.","affiliations":[{"id":79471,"text":"Student contractor to the U.S. Geological Survey, Fort Collins Science Center","active":true,"usgs":false}],"preferred":false,"id":935920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kittle, Caroline","contributorId":354586,"corporation":false,"usgs":false,"family":"Kittle","given":"Caroline","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":935921,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":935922,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":935923,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brock, Kelsey C.","contributorId":354589,"corporation":false,"usgs":false,"family":"Brock","given":"Kelsey C.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":935924,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70262818,"text":"70262818 - 2025 - Participatory engagement to reduce communication gaps","interactions":[],"lastModifiedDate":"2025-04-28T14:58:06.529283","indexId":"70262818","displayToPublicDate":"2024-12-14T08:57:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Participatory engagement to reduce communication gaps","docAbstract":"<p><span>Underserved communities, especially those in coastal areas in Puerto Rico, face significant threats from natural hazards such as hurricanes and rising sea levels. Limited funding hinders the investment in costly mitigation measures, increasing exposure to natural disasters. Providing coastal resources and data products through effective communication mechanisms is fundamental to improving the well-being of these underserved coastal communities. The overall objectives of the pilot effort to engage and connect with underserved coastal communities in Puerto Rico were the following: (1) compile a comprehensive database of the projects and resources relevant to natural hazards in Puerto Rico; (2) foster connections with Puerto Rican interested parties to better understand their priorities regarding coastal hazards and provide them with pertinent U.S. Geological Survey (USGS) resources; and (3) identify knowledge gaps to guide future USGS projects in Puerto Rico. Here we outline our participatory engagement framework and process, along with two specific resources developed with the information collected from this effort. These resources are available in English and Spanish and consist of user-friendly, non-technical information products. Among them are: (1) a website where users can learn about USGS research on landslides, hurricanes, earthquakes, water resources, coastal hazards, tsunamis, and ecosystem hazards and environmental contaminants, and (2) a geonarrative highlighting shoreline changes in Puerto Rico with sections on historical shoreline trends, hurricane impacts, and potential solutions that could help protect communities and mitigate coastal hazards. Continuing participatory engagement in future projects could enhance the accessibility and usability of natural hazards resources within the community.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11069-024-06860-2","usgsCitation":"Torres-Garcia, L.M., Valdés Pizzini, M., Valdés-Calderón, K., Frank-Gilchrist, D.P., Kotowicz, D., Maldonado, E., and Vargas-Babilonia, P., 2025, Participatory engagement to reduce communication gaps: Natural Hazards, v. 121, p. 6367-6390, https://doi.org/10.1007/s11069-024-06860-2.","productDescription":"24 p.","startPage":"6367","endPage":"6390","ipdsId":"IP-158218","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":480984,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":481045,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11069-024-06860-2","text":"Publisher Index Page"}],"country":"United States","city":"San Juan","otherGeospatial":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -66.0659062782679,\n              18.46319106779258\n            ],\n            [\n              -66.0659062782679,\n              18.449924094571088\n            ],\n            [\n              -66.03964964413582,\n              18.449924094571088\n            ],\n            [\n              -66.03964964413582,\n              18.46319106779258\n            ],\n            [\n              -66.0659062782679,\n              18.46319106779258\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"121","noUsgsAuthors":false,"publicationDate":"2024-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Torres-Garcia, Legna M. 0000-0002-6786-5944 ltorresgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-5944","contributorId":196150,"corporation":false,"usgs":true,"family":"Torres-Garcia","given":"Legna","email":"ltorresgarcia@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":924895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valdés Pizzini, Manuel 0000-0001-5288-9903","orcid":"https://orcid.org/0000-0001-5288-9903","contributorId":349831,"corporation":false,"usgs":false,"family":"Valdés Pizzini","given":"Manuel","affiliations":[{"id":83520,"text":"Interdisciplinary Center for Coastal Studies (CIEL) at the University of Puerto Rico in Mayagüez","active":true,"usgs":false}],"preferred":false,"id":924896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valdés-Calderón, Krystalliá 0009-0000-1209-9245","orcid":"https://orcid.org/0009-0000-1209-9245","contributorId":349832,"corporation":false,"usgs":false,"family":"Valdés-Calderón","given":"Krystalliá","affiliations":[{"id":83520,"text":"Interdisciplinary Center for Coastal Studies (CIEL) at the University of Puerto Rico in Mayagüez","active":true,"usgs":false}],"preferred":false,"id":924897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frank-Gilchrist, Donya P. 0000-0002-7146-0069","orcid":"https://orcid.org/0000-0002-7146-0069","contributorId":292926,"corporation":false,"usgs":true,"family":"Frank-Gilchrist","given":"Donya","email":"","middleInitial":"P.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":924898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kotowicz, Dawn Marie 0000-0003-4614-9049","orcid":"https://orcid.org/0000-0003-4614-9049","contributorId":315551,"corporation":false,"usgs":true,"family":"Kotowicz","given":"Dawn Marie","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":924899,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maldonado, Emmanuel 0009-0001-6519-0146","orcid":"https://orcid.org/0009-0001-6519-0146","contributorId":349833,"corporation":false,"usgs":false,"family":"Maldonado","given":"Emmanuel","affiliations":[{"id":83520,"text":"Interdisciplinary Center for Coastal Studies (CIEL) at the University of Puerto Rico in Mayagüez","active":true,"usgs":false}],"preferred":false,"id":924900,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vargas-Babilonia, Priscila 0000-0003-3913-9010","orcid":"https://orcid.org/0000-0003-3913-9010","contributorId":292925,"corporation":false,"usgs":true,"family":"Vargas-Babilonia","given":"Priscila","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":924901,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261653,"text":"70261653 - 2025 - Imperiled Great Basin terminal lakes: Synthesizing ecological and hydrological science gaps and research needs for waterbird conservation","interactions":[],"lastModifiedDate":"2025-03-11T14:50:45.705327","indexId":"70261653","displayToPublicDate":"2024-12-13T10:04:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Imperiled Great Basin terminal lakes: Synthesizing ecological and hydrological science gaps and research needs for waterbird conservation","docAbstract":"<p><span>Terminal lakes are declining globally because of human water demands, drought, and climate change. Through literature synthesis and feedback from the resource and conservation community, we review the state of research for terminal lakes in the Great Basin of the United States, which support millions of waterbirds annually, to prioritize ecological and hydrologic information needs. From an ecological perspective, research priorities include measuring the underlying differences in waterbird resource selection and distribution, migratory connectivity, abiotic factors that interact with prey densities to affect prey availability, and waterbird fitness or demography. Integrated links between water availability, water quality, and food webs are lacking in the literature. Scarce water availability data hinder the current knowledge of water extraction and evapotranspiration rates. Research that can address these priorities would help advance our understanding of how the Great Basin terminal lakes function as an interrelated system and support conservation efforts to reverse the decline of these critical lakes.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biae126","usgsCitation":"Herring, G., Whipple, A.L., Aldridge, C.L., Pulver, B.A., Eagles-Smith, C., Inman, R.D., Matchett, E., Monroe, A., Orning, E.K., Robb, B.S., Shyvers, J.E., Tarbox, B.C., Van Schmidt, N.D., Smith, C., Holloran, M., Overton, C.T., O’Leary, D., Casazza, M.L., and Frus, R., 2025, Imperiled Great Basin terminal lakes: Synthesizing ecological and hydrological science gaps and research needs for waterbird conservation: BioScience, v. 75, no. 2, p. 112-126, https://doi.org/10.1093/biosci/biae126.","productDescription":"15 p.","startPage":"112","endPage":"126","ipdsId":"IP-154086","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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,{"id":70266325,"text":"70266325 - 2025 - Neonate morphometrics and lambing season characteristics of desert bighorn sheep","interactions":[],"lastModifiedDate":"2025-05-05T15:00:43.815739","indexId":"70266325","displayToPublicDate":"2024-12-13T09:56:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2652,"text":"Mammalia","active":true,"publicationSubtype":{"id":10}},"title":"Neonate morphometrics and lambing season characteristics of desert bighorn sheep","docAbstract":"<p><span>Desert bighorn sheep (</span><i>Ovis canadensis</i><span>) populations often occur in remote areas at low densities, leading to gaps in knowledge of life history. In November 2011, we translocated 11 female desert bighorn sheep from the Fra Cristobal Mountains and 9 from Red Rock Wildlife Management Area (RRWMA) to the Peloncillo Mountains in southwestern New Mexico. In December 2012, we captured 21 adult females in the Peloncillo Mountains, 14 of which were recaptured from 2011. We fitted each animal with a very high frequency (VHF) collar and vaginal implant transmitter (VIT) to monitor for parturition. We captured 26 lambs (5 females, 7 males in 2012; 7 males, 7 females in 2013), recorded morphometric measurements and fitted lambs with VHF collars to monitor survival. Over the study, 14 lambs died, with 12 mortalities from predation, one from abandonment, and one from unknown causes. Lambing season was protracted over 3–4&nbsp;months and survival was unrelated to birth timing. Body mass differences between sex varied by year, suggesting a connection to annual climate. Because most studies focus on captive animals with access to supplemental food, captive lambs may not be representative of free-ranging populations. Thus, we investigated morphological trends in a free-ranging population.</span></p>","language":"English","publisher":"De Gruyter Brill","doi":"10.1515/mammalia-2024-0074  ‌","usgsCitation":"Parikh, G., Karsch, R., Cain, J.W., Rominger, E.M., and Goldstein, E.J., 2025, Neonate morphometrics and lambing season characteristics of desert bighorn sheep: Mammalia, v. 89, no. 2, p. 121-130, https://doi.org/10.1515/mammalia-2024-0074  ‌.","productDescription":"10 p.","startPage":"121","endPage":"130","ipdsId":"IP-166495","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Parikh, Grace L.","contributorId":354418,"corporation":false,"usgs":false,"family":"Parikh","given":"Grace L.","affiliations":[{"id":84629,"text":"Department of Fish Wildlife and Conservation Ecology","active":true,"usgs":false}],"preferred":false,"id":935611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karsch, Rebekah C.","contributorId":64159,"corporation":false,"usgs":true,"family":"Karsch","given":"Rebekah C.","affiliations":[],"preferred":false,"id":935612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rominger, Eric M.","contributorId":217500,"corporation":false,"usgs":false,"family":"Rominger","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":935614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldstein, Elise J.","contributorId":217499,"corporation":false,"usgs":false,"family":"Goldstein","given":"Elise","email":"","middleInitial":"J.","affiliations":[{"id":39654,"text":"nmdgf","active":true,"usgs":false}],"preferred":false,"id":935615,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261670,"text":"70261670 - 2025 - Mountain sentinels in a changing world: Review and conservation implications of weather and climate effects on mountain goats (Oreamnos americanus)","interactions":[],"lastModifiedDate":"2025-01-27T16:44:31.632325","indexId":"70261670","displayToPublicDate":"2024-12-13T09:50:43","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}},"displayTitle":"Mountain sentinels in a changing world: Review and conservation implications of weather and climate effects on mountain goats (<i>Oreamnos americanus</i>)","title":"Mountain sentinels in a changing world: Review and conservation implications of weather and climate effects on mountain goats (Oreamnos americanus)","docAbstract":"<p><span>Climate change is occurring at an accelerated rate in high-elevation alpine and mountain ecosystems. Cold-adapted, mountain species are at risk due to forecasted change and knowledge is needed to respond to current and future conservation challenges. Mountain goats (</span><i>Oreamnos americanus</i><span>) are an iconic species of North American mountain cultures and landscapes, and due to specialized adaptations for life in cold, mountainous environments they are particularly sensitive to changes in weather and climate. As sentinels of change in alpine ecosystems, the study of mountain goats offers insight into the ecological effects and conservation challenges associated with climate change in these sensitive and biodiverse environments. Here, we synthesize existing knowledge about how climate change is expected to influence environmental conditions experienced by mountain goats and associated mechanistic changes to behavior, nutritional ecology, demography, health, and interspecific interactions. In many instances, climate change effects are likely to be negative and additive to existing threats (such as human disturbance, hunting, disease, predation) though benefits are expected in some cases. Changes in climate and mountain environments will necessitate re-examination and modification of population monitoring, management, and conservation strategies. Specifically, spatiotemporal (and other) aspects of monitoring and management may need to be adjusted to accommodate emerging and novel conservation challenges. Yet, key data and knowledge gaps remain and should be addressed to advance conservation and decision-making capabilities. For mountain goats and similarly climate-sensitive alpine herbivores, effective conservation will ultimately benefit from collaborations among diverse networks guided by well-planned, strategic visions focused on common ground – namely the resiliency and persistence of culturally and ecologically significant mountain species and the alpine environment they inhabit.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2024.e03364","usgsCitation":"White, K., Cadsand, B., Cote, S.D., Graves, T., Hamel, S., Harris, R.B., Hayes, F., Hood, E., Hurley, K., Jessen, T., Jex, B., Peitzsch, E.H., Sarmento, W., Schwantje, H.M., and Berger, J., 2025, Mountain sentinels in a changing world: Review and conservation implications of weather and climate effects on mountain goats (Oreamnos americanus): Global Ecology and Conservation, v. 57, e03364, 19 p., https://doi.org/10.1016/j.gecco.2024.e03364.","productDescription":"e03364, 19 p.","ipdsId":"IP-166738","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":466717,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2024.e03364","text":"Publisher Index Page"},{"id":465278,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Alberta, British Columbia, Idaho, Montana, Northwest Territories, Oregon, Washington, Yukon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.52740428045206,\n              43.126862105716015\n            ],\n            [\n              -112.52625648619443,\n              43.10805069125277\n            ],\n            [\n              -110.41656112208216,\n              46.00411624911669\n            ],\n            [\n              -122.41072033247411,\n              63.43014069463413\n            ],\n            [\n              -148.6622869536442,\n              61.80821876885935\n            ],\n            [\n              -152.1644301328432,\n              59.3980192805023\n            ],\n            [\n              -147.75430481085388,\n              59.95192283531884\n            ],\n            [\n              -143.9376556572404,\n              60.14020171501804\n            ],\n            [\n              -138.16173053060783,\n              59.17713932003667\n            ],\n            [\n              -134.98292774303908,\n              56.29039401011454\n            ],\n            [\n              -131.16827590575502,\n              55.350886192731\n            ],\n            [\n              -128.0089454906319,\n              50.475368698966435\n            ],\n            [\n              -122.93240762130674,\n              46.57509255373344\n            ],\n            [\n              -120.52740428045206,\n              43.126862105716015\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, Kevin 0000-0002-5231-6045","orcid":"https://orcid.org/0000-0002-5231-6045","contributorId":336590,"corporation":false,"usgs":false,"family":"White","given":"Kevin","email":"","affiliations":[{"id":80796,"text":"1Program on the Environment, University of Alaska Southeast; 2Department of Geography, University of Victoria; 3Division of Wildlife Conservation, Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":921366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cadsand, Becky","contributorId":347322,"corporation":false,"usgs":false,"family":"Cadsand","given":"Becky","email":"","affiliations":[{"id":51972,"text":"British Columbia Ministry of Forests","active":true,"usgs":false}],"preferred":false,"id":921367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cote, Steeve D.","contributorId":283414,"corporation":false,"usgs":false,"family":"Cote","given":"Steeve","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":921368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":921369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamel, Sandra","contributorId":347323,"corporation":false,"usgs":false,"family":"Hamel","given":"Sandra","email":"","affiliations":[{"id":56273,"text":"Université Laval","active":true,"usgs":false}],"preferred":false,"id":921370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harris, Richard B.","contributorId":198309,"corporation":false,"usgs":false,"family":"Harris","given":"Richard","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":921371,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayes, Forest","contributorId":347324,"corporation":false,"usgs":false,"family":"Hayes","given":"Forest","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":921372,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":921373,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hurley, Kevin","contributorId":347325,"corporation":false,"usgs":false,"family":"Hurley","given":"Kevin","email":"","affiliations":[{"id":83133,"text":"Wild Sheep Foundation","active":true,"usgs":false}],"preferred":false,"id":921374,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jessen, Tyler","contributorId":347326,"corporation":false,"usgs":false,"family":"Jessen","given":"Tyler","email":"","affiliations":[{"id":83134,"text":"University of Victoria, Raincoast Conservation Foundation","active":true,"usgs":false}],"preferred":false,"id":921375,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jex, Bill","contributorId":347327,"corporation":false,"usgs":false,"family":"Jex","given":"Bill","email":"","affiliations":[{"id":83135,"text":"British Columbia Ministry of Water, Land, and Resource Stewardship","active":true,"usgs":false}],"preferred":false,"id":921376,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Peitzsch, Erich H. 0000-0001-7624-0455","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":202576,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":921377,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sarmento, Wesley","contributorId":347328,"corporation":false,"usgs":false,"family":"Sarmento","given":"Wesley","email":"","affiliations":[{"id":37431,"text":"Montana Fish, Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":921378,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schwantje, Helen M.","contributorId":190378,"corporation":false,"usgs":false,"family":"Schwantje","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":921379,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Berger, Joel","contributorId":289719,"corporation":false,"usgs":false,"family":"Berger","given":"Joel","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":921380,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70267351,"text":"70267351 - 2025 - Intrinsic and environmental drivers of pairwise cohesion in wild Canis social groups","interactions":[],"lastModifiedDate":"2025-05-20T16:12:45.6849","indexId":"70267351","displayToPublicDate":"2024-12-12T10:20:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Intrinsic and environmental drivers of pairwise cohesion in wild <i>Canis</i> social groups","title":"Intrinsic and environmental drivers of pairwise cohesion in wild Canis social groups","docAbstract":"<p><span>Animals within social groups respond to costs and benefits of sociality by adjusting the proportion of time they spend in close proximity to other individuals in the group (cohesion). Variation in cohesion between individuals, in turn, shapes important group-level processes such as subgroup formation and fission–fusion dynamics. Although critical to animal sociality, a comprehensive understanding of the factors influencing cohesion remains a gap in our knowledge of cooperative behavior in animals. We tracked 574 individuals from six species within the genus&nbsp;</span><i>Canis</i><span>&nbsp;in 15 countries on four continents with GPS telemetry to estimate the time that pairs of individuals within social groups spent in close proximity and test hypotheses regarding drivers of cohesion. Pairs of social canids (</span><i>Canis</i><span>&nbsp;spp.) varied widely in the proportion of time they spent together (5%–100%) during seasonal monitoring periods relative to both intrinsic characteristics and environmental conditions. The majority of our data came from three species of wolves (gray wolves, eastern wolves, and red wolves) and coyotes. For these species, cohesion within social groups was greatest between breeding pairs and varied seasonally as the nature of cooperative activities changed relative to annual life history patterns. Across species, wolves were more cohesive than coyotes. For wolves, pairs were less cohesive in larger groups, and when suitable, small prey was present reflecting the constraints of food resources and intragroup competition on social associations. Pair cohesion in wolves declined with increased anthropogenic modification of the landscape and greater climatic variability, underscoring challenges for conserving social top predators in a changing world. We show that pairwise cohesion in social groups varies strongly both within and across&nbsp;</span><i>Canis</i><span>&nbsp;species, as individuals respond to changing ecological context defined by resources, competition, and anthropogenic disturbance. Our work highlights that cohesion is a highly plastic component of animal sociality that holds significant promise for elucidating ecological and evolutionary mechanisms underlying cooperative behavior.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4492","usgsCitation":"Benson, J.F., Keiter, D.A., Mahoney, P., Allen, B.L., Allen, L.R., Álvares, F., Anderson, M., Barber-Meyer, S., Barocas, A., Beasley, J.C., Behrendorff, L., Belant, J., Beyer, D., Boitani, L., Borg, B.L., Boutin, S., Boydston, E., Brown, J.L., Bump, J.K., Cepek, J., Chamberlain, M.J., Chenaux-Ibrahim, Y., Cherry, S., Ćirović, D., Ciucci, P., Cluff, H., Cooper, S.M., Crooks, K., Dupont, D., Fisher, R., Fortin, D., Gable, T.D., Garcia, E., Geffen, E., Gehrt, S., Gillingham, M., Heard, D., Hebblewhite, M., Hinton, J.W., Homkes, A., Howden, C., Huber, D., Jackson, P.J., Joly, K., Kelly, A.P., Kelly, M., Kingdon, K., Kulkarni, A., Kusak, J., Kuzyk, G., Lake, B.C., Llaneza, L., Lopez-Bao, J.V., MacNulty, D., McLaren, A., McLoughlin, P., Merrill, E.H., Mills, K., Mitchell, N., Moore, S., Mumma, M., Murray, M., Musiani, M., Nakamura, M., Neilson, E., Neufeld, L., Newsome, T., Oakleaf, J., Palacios, V., Perdicas, M., Perry, T., Petroelje, T., Piper, C., Prokopenko, C., Prugh, L., Riley, S.P., Rio-Maior, H., Roffler, G., Rollins, D., Sand, H., Schmiegelow, F.K., Seip, D.R., Sorum, M.S., St. Clair, C., Steenweg, R., Strohbach, M., Tatler, J., Thaker, M., Thompson, C., Turner, J., Vanak, A.T., Vander Wal, E., Wabakken, P., Walter, S., Webster, S., Wheeldon, T., Wikenros, C., Windels, S.K., Young, J., Zabihi-Seissan, S., Zimmermann, B., and Patterson, B., 2025, Intrinsic and environmental drivers of pairwise cohesion in wild Canis social groups: Ecology, v. 106, no. 1, e4492, 22 p., https://doi.org/10.1002/ecy.4492.","productDescription":"e4492, 22 p.","ipdsId":"IP-151194","costCenters":[{"id":651,"text":"Western Ecological Research 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,{"id":70274208,"text":"70274208 - 2025 - Co-mast: Harmonized seed production data for woody plants across US long-term research sites","interactions":[],"lastModifiedDate":"2026-03-13T14:19:50.792136","indexId":"70274208","displayToPublicDate":"2024-12-12T09:07:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Co-mast: Harmonized seed production data for woody plants across US long-term research sites","docAbstract":"<p><span>Plants display a range of temporal patterns of inter-annual reproduction, from relatively constant seed production to “mast seeding,” the synchronized and highly variable interannual seed production of plants within a population. Previous efforts have compiled global records of seed production in long-lived plants to gain insight into seed production, forest and animal population dynamics, and the effects of global change on masting. Existing datasets focus on seed production dynamics at the population scale but are limited in their ability to examine community-level mast seeding dynamics across different plant species at the continental scale. We harmonized decades of plant reproduction data for 141 woody plant species across nine Long-Term Ecological Research (LTER) or long-term ecological monitoring sites from a wide range of habitats across the United States. Plant reproduction data are reported annually between 1957 and 2021 and based on either seed traps or seed and/or cone counts on individual trees. A wide range of woody plant species including trees, shrubs, and lianas are represented within sites allowing for direct community-level comparisons among species. We share code for filtering of data that enables the comparison of plot and individual tree data across sites. For each species, we compiled relevant life history attributes (e.g., seed mass, dispersal syndrome, seed longevity, sexual system) that may serve as important predictors of mast seeding in future analyses. To aid in phylogenetically informed analyses, we also share a phylogeny and phylogenetic distance matrix for all species in the dataset. These data can be used to investigate continent-scale ecological properties of seed production, including individual and population variability, synchrony within and across species, and how these properties of seed production vary in relation to plant species traits and environmental conditions. In addition, these data can be used to assess how annual variability in seed production is associated with climate conditions and how that varies across populations, species, and regions. The dataset is released under a CC0 1.0 Universal public domain license.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4463","usgsCitation":"Nigro, K.M., Barton, J.H., Macias, D., Chaudhary, V.B., Pearse, I., Bell, D.M., Chen, A., Cleavitt, N.L., Crone, E., Greene, D.F., Holland, E.P., Johnstone, J.F., Koenig, W.D., Lyon, N.J., Miller, T.E., Schulze, M., Snell, R.S., Zimmerman, J.K., Knops, J.M., McNulty, S., Parmenter, R.R., Winterstein, M., Zlotin, R.I., LaMontagne, J., and Redmond, M., 2025, Co-mast: Harmonized seed production data for woody plants across US long-term research sites: Ecology, v. 106, e4463, 3 p., https://doi.org/10.1002/ecy.4463.","productDescription":"e4463, 3 p.","ipdsId":"IP-162499","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501358,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.4463","text":"Publisher Index Page"},{"id":501128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","noUsgsAuthors":false,"publicationDate":"2024-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Nigro, Katherine M.","contributorId":189487,"corporation":false,"usgs":false,"family":"Nigro","given":"Katherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":956998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barton, Jessica H.","contributorId":302438,"corporation":false,"usgs":false,"family":"Barton","given":"Jessica","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":956999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macias, Diana","contributorId":256880,"corporation":false,"usgs":false,"family":"Macias","given":"Diana","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":957000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaudhary, V. 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,{"id":70261941,"text":"70261941 - 2025 - Late Amazonian ice near Athabasca Valles, Mars: Recent megaflood or climate change?","interactions":[],"lastModifiedDate":"2025-01-06T15:05:14.621649","indexId":"70261941","displayToPublicDate":"2024-12-12T09:02:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Late Amazonian ice near Athabasca Valles, Mars: Recent megaflood or climate change?","docAbstract":"<p><span>The Athabasca Valles outflow channel system is among the youngest such channels on Mars, with the Athabasca Valles flood lava (AVFL) covering the channel floor and reaching far beyond. Volcanic rootless cones on the AVFL indicate the presence of H</span><sub>2</sub><span>O in the shallow subsurface at the time of lava emplacement. However, Athabasca Valles are near the equator, where ice would rapidly sublime in the current climate. Therefore, the source of water for the rootless cones is uncertain: the leading hypotheses are that it was deposited (i) from the atmosphere in a different climate, or (ii) by a large aqueous flood shortly before the lava was erupted. Here we test the aqueous flood hypothesis, using numerical models of floods traversing Athabasca Valles to determine whether they can provide water to the locations of observed rootless cones. A secondary test is to determine whether flood waters are available to carve Lethe Vallis, a distal channel likely carved by the same event that formed Athabasca Valles. We find that floods with volumes and fluxes based on previously published estimates are unable to reach the distal rootless cones or Lethe Vallis. This suggests either that the climate allowed equatorial ice to be present in the subsurface at the time of the AVFL, or that geologically recent aqueous floods in Athabasca Valles were much larger than indicated by published models.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2024.116406","usgsCitation":"Dundas, C., Keszthelyi, L., and Williams, K.E., 2025, Late Amazonian ice near Athabasca Valles, Mars: Recent megaflood or climate change?: Icarus, v. 429, no. 3, 116406, 17 p., https://doi.org/10.1016/j.icarus.2024.116406.","productDescription":"116406, 17 p.","ipdsId":"IP-167274","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":498063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2024.116406","text":"Publisher Index Page"},{"id":465667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Athabasca Valles, Mars","volume":"429","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":237028,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":922358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":922359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":922360,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265938,"text":"70265938 - 2025 - Great Lakes mallard population dynamics","interactions":[],"lastModifiedDate":"2025-04-22T17:12:00.317697","indexId":"70265938","displayToPublicDate":"2024-12-11T12:04:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Great Lakes mallard population dynamics","docAbstract":"<p><span>Breeding mallard (</span><i>Anas platyrhynchos</i><span>) populations in the Great Lakes region (Michigan, Minnesota, Wisconsin, USA) declined by &gt;40% between 2000–2022 based on abundance data collected during spring aerial surveys. Mallards are an important waterfowl species in this region, where an estimated 60–80% of the mallard harvest is composed of locally banded birds. Extensive population monitoring datasets are available for mallards, presenting an opportunity to address complex questions such as estimating productivity at large spatial and temporal scales, identifying the effects of harvest on mallard demography, quantifying mechanisms for harvest compensation, and integrating multiple datasets to quantify the demographic drivers of population change. Our objective was to simultaneously examine factors affecting demographic parameters and their relative contribution to Great Lakes mallard population dynamics. We used 32 years of banding, band recovery, and aerial survey data collected for mallards from Michigan and Wisconsin to develop an integrated population model (IPM). We used age ratios at banding to estimate productivity, band recoveries from hunter-harvested birds to estimate annual survival and cause-specific mortality (i.e., harvest or non-hunting), and modeled abundance using aerial survey and demographic parameter estimates from 1991–2022. The IPM results indicated the decline in Great Lakes mallard abundance was caused by increased non-hunting mortality and a decline in productivity. Productivity varied spatially but temporally declined with the loss of Conservation Reserve Program area. Moreover, our productivity assessment provided evidence of density dependence in reproduction. Non-hunting mortality was 3.5–6.7 times and 1.3–4.2 times greater than harvest mortality for adult and juvenile female mallards, respectively, indicating environmental factors during spring and summer, not harvest, most greatly influenced annual mortality for female mallards. Our IPM reduced uncertainty in the factors affecting Great Lakes mallard population dynamics and indicated management actions that address non-hunting mortality and productivity would be most effective in increasing Great Lakes mallard abundance.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22702","usgsCitation":"Luukkonen, B., Winterstein, S., Hayes, D., Fowler, D., Soulliere, G., Coluccy, J., Shipley, A., Simpson, J., Shirkey, B., Winiarski, J., O’Neal, B., Avers, B., Urquhart, G., and Lavretsky, P., 2025, Great Lakes mallard population dynamics: Journal of Wildlife Management, v. 89, no. 2, e22702, 21 p., https://doi.org/10.1002/jwmg.22702.","productDescription":"e22702, 21 p.","ipdsId":"IP-169638","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22702","text":"Publisher Index 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,{"id":70264860,"text":"70264860 - 2025 - Sampling for disease surveillance: Assessing effects on blue-winged teal survival and recovery","interactions":[],"lastModifiedDate":"2025-03-26T14:52:46.805137","indexId":"70264860","displayToPublicDate":"2024-12-11T09:47:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Sampling for disease surveillance: Assessing effects on blue-winged teal survival and recovery","docAbstract":"<p><span>Outbreaks of highly pathogenic avian influenza virus in wild animals highlight the need for disease surveillance in wild birds to improve our understanding of their role as reservoirs and dispersers, and potential threats to domestic poultry and wild bird populations. Surveillance for avian influenza varies in its approach, objectives, and coordination with other monitoring efforts. For waterfowl, a common host to avian influenza viruses, banding represents a concerted effort of capturing and marking thousands of individuals annually to estimate survival and harvest rates, but users of these data have generally taken a conservative approach to remove any banded birds from analyses that had a sample taken for disease surveillance during capture. We tested for differences in survival and encounter probabilities of blue-winged teal (</span><i>Spatula discors</i><span>) marked (</span><i>n</i><span> = 21,702 teal) and sampled for disease surveillance (</span><i>n</i><span> = 4,216) during the nonbreeding season in Louisiana, USA, from 2016 to 2023. Although we found no consistent effect of collecting biological samples on survival probability, including an additional test showing no detectable effects of sampling for disease surveillance with oropharyngeal and cloacal swabs versus sampling with swabs and a syringe-drawn blood sample, wide 95% credible intervals on the posterior survival estimates (mean 0.36 difference between upper and lower values across all year-sex-sampling groups; 0.44 for sampling type groups) indicated low statistical power to detect an effect. Seber recovery probability during the first interval following sampling was lower among birds sampled using swabs only, but we assume this stems from low sample sizes rather than an effect of collecting biological samples. Because recovery probabilities can vary as a function of individual covariates, we also examined direct recovery probabilities and observed no meaningful effect of disease surveillance sampling type but strong effects of capture date, suggesting the effect on Seber recovery probability may have been due to heterogeneity in exposure to natural and harvest mortality risks. Although we suggest that aligning disease surveillance sample collection efforts with landscape-scale waterfowl banding efforts may have little effect on observed demographic rates, additional studies with larger sample sizes are likely needed to provide the statistical power necessary to formally conclude no effect of biological sampling on survival probabilities.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22708","usgsCitation":"Swift, R.J., Arnold, T., Carter, D.L., Link, P.K., Poulson, R., Stallknecht, D., and Pearse, A.T., 2025, Sampling for disease surveillance: Assessing effects on blue-winged teal survival and recovery: Journal of Wildlife Management, v. 89, no. 3, e22708, 14 p., https://doi.org/10.1002/jwmg.22708.","productDescription":"e22708, 14 p.","ipdsId":"IP-166455","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":498247,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22708","text":"Publisher Index Page"},{"id":483873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Grand Chenier, Krotz Springs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.98756060983055,\n              30.65597997684506\n            ],\n            [\n              -91.98756060983055,\n              30.58594442939689\n            ],\n            [\n              -91.90986695702321,\n              30.58594442939689\n            ],\n            [\n              -91.90986695702321,\n              30.65597997684506\n            ],\n            [\n              -91.98756060983055,\n              30.65597997684506\n      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0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":932074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, Todd W.","contributorId":340512,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":932075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Deborah L.","contributorId":335924,"corporation":false,"usgs":false,"family":"Carter","given":"Deborah","email":"","middleInitial":"L.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":932076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Link, Paul K.","contributorId":271204,"corporation":false,"usgs":false,"family":"Link","given":"Paul","email":"","middleInitial":"K.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":932077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":932078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":932079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":932080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70263135,"text":"70263135 - 2025 - Changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States among three discrete temporal periods, 1946–2020","interactions":[],"lastModifiedDate":"2025-01-30T15:18:05.449684","indexId":"70263135","displayToPublicDate":"2024-12-10T09:09:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20062,"text":"Journal of Hydrology—Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States among three discrete temporal periods, 1946–2020","docAbstract":"<h3>Study region</h3><div id=\"abs0010\"><div id=\"sp0090\" class=\"u-margin-s-bottom\">North-central United States</div></div><div id=\"abs0015\"><h3 id=\"sect0015\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Study focus</h3><div id=\"sp0095\" class=\"u-margin-s-bottom\">This study uses circular statistics to characterize the seasonal properties of annual maximum (AMS) and peaks-over-threshold (POT) streamflow time series for 841 and 623 selected U.S. Geological Survey (USGS) streamgages, respectively, without regulation or substantial diversion among common 75-, 50-, and 30-year trend periods through water year 2020 (the period from October 1, 2019, through September 30, 2020). A subset of AMS time series with detected change points (abrupt changes) in the median and (or) scale are analyzed on either side of the change point to evaluate changes in their circular statistics.</div></div><div id=\"abs0020\"><h3 id=\"sect0020\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">New hydrologic insights for the region</h3><div id=\"sp0100\" class=\"u-margin-s-bottom\">In the 50-year trend period, five regions share common mean flood timing in the AMS and POT partial duration series. Changes from asymmetric distributions to reflective symmetric distributions are detected particularly among the 50- and 30-year trend periods in the northernmost States of Minnesota, North Dakota, and Wisconsin. For the subset of streamgages with abrupt change points in the AMS, regional patterns of changes in seasonality are detected between the period of records before and after the change point. These findings can inform decisions related to the AMS used for flood frequency and potential mixed population analyses and flood control operations that may be affected by changes in when seasonal events occur, how long seasonal events last, and the long-term variability in the intensity and frequency of seasonal events.</div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2024.102084","usgsCitation":"Barth, N.A., Wavra, H.N., Koebele, A., and Sando, S.K., 2025, Changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States among three discrete temporal periods, 1946–2020: Journal of Hydrology—Regional Studies, v. 57, 102084, 28 p., https://doi.org/10.1016/j.ejrh.2024.102084.","productDescription":"102084, 28 p.","ipdsId":"IP-158771","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science 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,{"id":70263499,"text":"70263499 - 2025 - Characterizing directivity in small (M 2.4-5) aftershocks of the Ridgecrest sequence","interactions":[],"lastModifiedDate":"2025-05-28T14:47:51.520376","indexId":"70263499","displayToPublicDate":"2024-12-10T08:34:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing directivity in small (M 2.4-5) aftershocks of the Ridgecrest sequence","docAbstract":"<p><span>Directivity, or the focusing of energy along the direction of an earthquake rupture, is a common property of earthquakes of all sizes and can cause increased hazard due to azimuthally dependent ground‐motion amplification. For small earthquakes, the effects of directivity are generally less pronounced due to reduced rupture size, yet the directivity in small events can bias source property estimates and provide important insights into general regional faulting patterns. However, due to observational limitations, directivity is usually only measured and modeled for large events. As such, many studies of small earthquakes either ignore directivity altogether or assume a constant rupture direction for all events in a cluster. In our study, we apply a refined directivity fitting method constrained with two separate methods of source deconvolution to the dataset of aftershocks of the 2019 Ridgecrest earthquakes, which contain a large number of well‐recorded small‐to‐mid sized earthquakes occurring in close proximity to each other. The revealed directivity of 100+ small (M 2.4–5) earthquakes is highly heterogeneous and primarily oblique to and away from the main fault strike, suggesting a complex postseismic stress redistribution. In addition, the energy focusing effect of directivity appears to bias the selection of high‐quality data from stations in the direction of rupture, leading to average stress‐drop increases of 50% if directivity is not accounted for.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240146","usgsCitation":"Chu, S., Baltay Sundstrom, A.S., and Abercrombie, R., 2025, Characterizing directivity in small (M 2.4-5) aftershocks of the Ridgecrest sequence: Bulletin of the Seismological Society of America, v. 115, no. 3, p. 1177-1188, https://doi.org/10.1785/0120240146.","productDescription":"12 p.","startPage":"1177","endPage":"1188","ipdsId":"IP-167693","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481972,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Ridgecrest sequence","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.9,\n              36\n            ],\n            [\n              -117.9,\n              35.5\n            ],\n            [\n              -117.3,\n              35.5\n            ],\n            [\n              -117.3,\n              36\n            ],\n            [\n              -117.9,\n              36\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Chu, Shanna","contributorId":350708,"corporation":false,"usgs":false,"family":"Chu","given":"Shanna","affiliations":[{"id":7173,"text":"Rice University","active":true,"usgs":false}],"preferred":false,"id":927166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":927167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":927168,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263855,"text":"70263855 - 2025 - Drought before fire increases tree mortality after fire","interactions":[],"lastModifiedDate":"2025-02-26T20:49:58.489965","indexId":"70263855","displayToPublicDate":"2024-12-09T13:44:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Drought before fire increases tree mortality after fire","docAbstract":"<p><span>Fire and drought are expected to increase in frequency and severity in temperate forests due to climate change. To evaluate whether drought increases the likelihood of post-fire tree mortality, we used a large database of tree survival and mortality from 32 years of wildland fires covering four dominant western North American conifers. We used Bayesian hierarchical modeling to predict the probability of individual tree mortality after fire based on species—</span><i>Pinus contorta</i><span>&nbsp;(lodgepole pine),&nbsp;</span><i>Abies concolor</i><span>&nbsp;(white fir),&nbsp;</span><i>Pseudotsuga menziesii</i><span>&nbsp;(Douglas-fir), and&nbsp;</span><i>Pinus ponderosa</i><span>&nbsp;(ponderosa pine)—bark thickness, bark char, percentage live tree crown scorched or consumed crown volume scorch (CVS), and mean annual climatic water deficit (CWD) anomalies the year pre-fire and fire year relative to the 1985–2015 reference period. Although&nbsp;</span><i>crown injury</i><span>&nbsp;was the primary determinant of tree mortality after fire,&nbsp;</span><i>drought</i><span>&nbsp;increased likelihood of death, with a 2-SD increase in CWD (+115.7) resulting in a 78% increase in the probability of mortality. We assessed the crown scorch level expected to result in &gt;50% probability of mortality under different CWD scenarios: observed CWD, CWD of +2, and +4°C warming scenarios. Increased climatic moisture stress amplified tree death, reducing the threshold that causes tree mortality across all conifers under +4°C warming, with more subtle and species-specific reductions for the +2°C scenario. Models predicting post-fire tree mortality are components of global and regional carbon estimates, habitat suitability assessments, and forest management planning and decision support systems. The amplifying effects of drought on post-fire tree mortality and predicted future climates are likely to lead to higher tree mortality following fires in forested landscapes of western North America and may have cascading effects on ecosystem services and future forest resilience.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70083","usgsCitation":"Cansler, C.A., Wright, M., van Mantgem, P., Shearman, T.M., Varner, J., and Hood, S.M., 2025, Drought before fire increases tree mortality after fire: Ecosphere, v. 15, no. 12, e70083, 18 p., https://doi.org/10.1002/ecs2.70083.","productDescription":"e70083, 18 p.","ipdsId":"IP-141643","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":486900,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70083","text":"Publisher Index Page"},{"id":482503,"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              -125.54358044928802,\n              48.48322783092678\n            ],\n            [\n              -125.54358044928802,\n              31.839699908457078\n            ],\n            [\n              -100.5819546029139,\n              31.839699908457078\n            ],\n            [\n              -100.5819546029139,\n              48.48322783092678\n            ],\n            [\n              -125.54358044928802,\n              48.48322783092678\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Cansler, C. Alina 0000-0002-2155-4438","orcid":"https://orcid.org/0000-0002-2155-4438","contributorId":225029,"corporation":false,"usgs":false,"family":"Cansler","given":"C.","email":"","middleInitial":"Alina","affiliations":[{"id":41022,"text":"Missoula Fire Science Lab","active":true,"usgs":false}],"preferred":false,"id":928704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shearman, Timothy M.","contributorId":229060,"corporation":false,"usgs":false,"family":"Shearman","given":"Timothy","email":"","middleInitial":"M.","affiliations":[{"id":41540,"text":"Tall Timbers Research Station, 13093 Henry Beadel Drive, Tallahassee, FL, 32312, USA","active":true,"usgs":false}],"preferred":false,"id":928707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Varner, J. Morgan","contributorId":265933,"corporation":false,"usgs":false,"family":"Varner","given":"J. Morgan","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":928708,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hood, Sharon M.","contributorId":221183,"corporation":false,"usgs":false,"family":"Hood","given":"Sharon","email":"","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":928709,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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