{"pageNumber":"129","pageRowStart":"3200","pageSize":"25","recordCount":184617,"records":[{"id":70259583,"text":"sir20245093 - 2024 - Conceptualization and simulation of groundwater flow and groundwater availability in the Boone and Roubidoux aquifers in northeastern Oklahoma, 1980–2017","interactions":[],"lastModifiedDate":"2025-12-23T21:43:15.225924","indexId":"sir20245093","displayToPublicDate":"2024-10-16T09:21:46","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5093","displayTitle":"Conceptualization and Simulation of Groundwater Flow and Groundwater Availability in the Boone and Roubidoux Aquifers in Northeastern Oklahoma, 1980–2017","title":"Conceptualization and simulation of groundwater flow and groundwater availability in the Boone and Roubidoux aquifers in northeastern Oklahoma, 1980–2017","docAbstract":"<p>Oklahoma Groundwater Law (Oklahoma Statute § 82-1020.5) requires that the Oklahoma Water Resources Board conduct hydrologic investigations to determine the maximum annual yield for the State’s groundwater basins. The Boone and Roubidoux aquifers (also known as the Springfield Plateau aquifer and Ozark aquifer, respectively) are bedrock aquifers that extend from northeastern Oklahoma into Kansas, Arkansas, and Missouri. At present (2024), the Oklahoma Water Resources Board has yet to legally issue orders for the final determination of maximum annual yields for the Boone and Roubidoux aquifers. To support determination of a maxi­mum annual yield, the U.S. Geological Survey, in coopera­tion with the Oklahoma Water Resources Board, developed a hydrogeologic framework, a conceptual groundwater-flow model, and a calibrated numerical groundwater-flow model for the Boone and Roubidoux aquifers.</p><p>Three types of groundwater-availability scenarios were simulated by using the calibrated numerical model. These scenarios were used to (1) estimate equal-proportionate-share groundwater withdrawal rates (groundwater withdrawal applied equally over the aquifer), (2) quantify the potential effects of projected groundwater withdrawals on groundwater storage over a 50-year period, and (3) simulate the poten­tial effects of a hypothetical 10-year drought. For the Boone aquifer, equal-proportionate-share groundwater withdrawal rates were 1.10, 0.98, and 0.96 acre-feet per acre per year for the 20-, 40-, and 50-year scenarios, respectively. For the Roubidoux aquifer, equal-proportionate-share groundwater withdrawal rates were 1.76, 1.34, and 1.25 acre-feet per acre per year for the 20-, 40-, and 50-year simulations, respectively. For the 50-year scenarios, stream seepage was minimally affected. Over the 10-year drought scenario, groundwater storage in the Boone and Roubidoux aquifers decreased by 660,451 acre-feet (6.7 percent) and 508,472 acre-feet (1.0 per­cent), respectively.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245093","issn":"2328-0328","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Trevisan, A.R., Russell, C.A., Lockmiller, H.A., Wagner, D.L., Correll, J.S., and Knierim, K.J., 2024, Conceptualization and simulation of groundwater flow and groundwater availability in the Boone and Roubidoux aquifers in northeastern Oklahoma, 1980–2017: U.S. Geological Survey Scientific Investigations Report 2024–5093, 105 p., https://doi.org/10.3133/sir20245093.","productDescription":"Report: xiv, 105 p.; Data Release","numberOfPages":"124","onlineOnly":"Y","ipdsId":"IP-142594","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":462876,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245093/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5093 HTML"},{"id":462875,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5093/sir20245093.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5093 XML"},{"id":462874,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5093/sir20245093.pdf","size":"38.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5093"},{"id":462873,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5093/images"},{"id":462872,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5093/coverthb.jpg"},{"id":462877,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KWWUAV","text":"USGS Data Release","linkHelpText":"- MODFLOW-NWT model used for the simulation of groundwater flow and analysis of groundwater availability in the Boone and Roubidoux aquifers in northeastern Oklahoma, 1980–2017"},{"id":497943,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117647.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oklahoma","otherGeospatial":"Boone and Roubidoux aquifers","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.61835569487307,\n              37.340465151367\n            ],\n            [\n              -95.61835569487307,\n              34.999403485947965\n            ],\n            [\n              -93.99237913237286,\n              34.999403485947965\n            ],\n            [\n              -93.99237913237286,\n              37.340465151367\n            ],\n            [\n              -95.61835569487307,\n              37.340465151367\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>For more information about this publication, contact<br>Director, <a data-mce-href=\"https://www.usgs.gov/centers/ot-water\" href=\"https://www.usgs.gov/centers/ot-water\">Oklahoma-Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane<br>Austin, TX 78754-4501<br><br>For additional information, visit<br><a title=\"Follow link\" href=\"https://www.usgs.gov/centers/ot-water\" data-mce-href=\"https://www.usgs.gov/centers/ot-water\">https://www.usgs.gov/centers/ot-water</a></p><p><a id=\"LPlnkOWA15180ebd-b368-51d6-d4d0-3194b6e2a465\" class=\"OWAAutoLink\" title=\"https://pubs.usgs.gov/contact\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-olk-copy-source=\"MailCompose\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydrogeologic Framework</li><li>Conceptualization of Groundwater-Flow System</li><li>Simulation of Groundwater Flow</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-10-16","noUsgsAuthors":false,"publicationDate":"2024-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Trevisan, Adam R. 0000-0002-7295-145X","orcid":"https://orcid.org/0000-0002-7295-145X","contributorId":345144,"corporation":false,"usgs":true,"family":"Trevisan","given":"Adam R.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Cory A. 0000-0001-6358-1605","orcid":"https://orcid.org/0000-0001-6358-1605","contributorId":223018,"corporation":false,"usgs":true,"family":"Russell","given":"Cory","email":"","middleInitial":"A.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockmiller, Hayden A. 0000-0001-7605-2286","orcid":"https://orcid.org/0000-0001-7605-2286","contributorId":345227,"corporation":false,"usgs":true,"family":"Lockmiller","given":"Hayden","email":"","middleInitial":"A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagner, Derrick L. 0000-0002-9291-7785","orcid":"https://orcid.org/0000-0002-9291-7785","contributorId":345145,"corporation":false,"usgs":false,"family":"Wagner","given":"Derrick","email":"","middleInitial":"L.","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":true,"id":915809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Correll, Jessica S. 0000-0000-0000-0001","orcid":"https://orcid.org/0000-0000-0000-0001","contributorId":37253,"corporation":false,"usgs":true,"family":"Correll","given":"Jessica","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":915810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knierim, Katherine J. 0000-0002-5361-4132 kknierim@usgs.gov","orcid":"https://orcid.org/0000-0002-5361-4132","contributorId":191788,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine","email":"kknierim@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915811,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261637,"text":"70261637 - 2024 - Browsing the literature","interactions":[],"lastModifiedDate":"2024-12-17T15:03:22.806296","indexId":"70261637","displayToPublicDate":"2024-10-16T09:02:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3230,"text":"Rangelands","active":true,"publicationSubtype":{"id":10}},"title":"Browsing the literature","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rala.2024.09.001","usgsCitation":"Germino, M., 2024, Browsing the literature: Rangelands, v. 46, no. 5, p. 168-170, https://doi.org/10.1016/j.rala.2024.09.001.","productDescription":"3 p.","startPage":"168","endPage":"170","ipdsId":"IP-170291","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":465190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":921244,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70259720,"text":"70259720 - 2024 - Direct measurements of firn-density evolution from 2016 to 2022 at Wolverine Glacier, Alaska","interactions":[],"lastModifiedDate":"2024-12-26T16:52:02.109318","indexId":"70259720","displayToPublicDate":"2024-10-16T08:25:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Direct measurements of firn-density evolution from 2016 to 2022 at Wolverine Glacier, Alaska","docAbstract":"<div class=\"abstract-content\"><div class=\"abstract\" data-abstract-type=\"normal\"><p>Knowledge of snow and firn-density change is needed to use elevation-change measurements to estimate glacier mass change. Additionally, firn-density evolution on glaciers is closely connected to meltwater percolation, refreezing and runoff, which are key processes for glacier mass balance and hydrology. Since 2016, the U.S. Geological Survey Benchmark Glacier Project has recovered firn cores from a site on Wolverine Glacier in Alaska's Kenai Mountains. We use annual horizons in repeat cores to track firn densification and meltwater retention over seasonal and interannual timescales, and we use density measurements to quantify how the firn air content (FAC) changes through time. The results suggest the firn is densifying due primarily to compaction rather than refreezing. Liquid-water retention in the firn is transient, likely due to gravity-fed drainage and irreducible-water-content decreases that accompany decreasing porosity. We show that the uncertainty (±60 kg m<span class=\"sup\">−3</span>) in the commonly used volume-to-mass conversion factor of 850 kg m<span class=\"sup\">−3</span><span>&nbsp;</span>is an underestimation when glacier-wide FAC variability exceeds 12% of the glacier-averaged height change. Our results demonstrate how direct measurements of firn properties on mountain glaciers can be used to better quantify the uncertainty in geodetic volume-to-mass conversions.</p></div></div>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2024.24","usgsCitation":"Stevens, M., Sass, L., Florentine, C., McNeil, C., Baker, E., and Bollen, K.E., 2024, Direct measurements of firn-density evolution from 2016 to 2022 at Wolverine Glacier, Alaska: Journal of Glaciology, v. 70, e2, 11 p., https://doi.org/10.1017/jog.2024.24.","productDescription":"e2, 11 p.","ipdsId":"IP-156224","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":486314,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7610XHQ","text":"USGS data release","linkHelpText":"Firn Density and Stratigraphy Observations from USGS Benchmark Glaciers"},{"id":466843,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2024.24","text":"Publisher Index Page"},{"id":463044,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Wolverine Glacier","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -148.94383589629487,\n              60.45120947873403\n            ],\n            [\n              -148.94383589629487,\n              60.379126304298126\n            ],\n            [\n              -148.82065310598685,\n              60.379126304298126\n            ],\n            [\n              -148.82065310598685,\n              60.45120947873403\n            ],\n            [\n              -148.94383589629487,\n              60.45120947873403\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"70","noUsgsAuthors":false,"publicationDate":"2024-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Max 0000-0003-2005-0876","orcid":"https://orcid.org/0000-0003-2005-0876","contributorId":316813,"corporation":false,"usgs":true,"family":"Stevens","given":"Max","email":"","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":916428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":916429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":916430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNeil, Christopher J. 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":5803,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher J.","email":"cmcneil@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":916431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baker, Emily 0000-0002-0938-3496 ehbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-0938-3496","contributorId":200570,"corporation":false,"usgs":true,"family":"Baker","given":"Emily","email":"ehbaker@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":916432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bollen, Katherine Eleanore 0000-0003-4345-0899","orcid":"https://orcid.org/0000-0003-4345-0899","contributorId":299133,"corporation":false,"usgs":true,"family":"Bollen","given":"Katherine","email":"","middleInitial":"Eleanore","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":916433,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70259701,"text":"70259701 - 2024 - Demographic risk factors vary in the invasion front of chronic wasting disease in West Virginia, USA","interactions":[],"lastModifiedDate":"2024-10-22T15:36:07.023099","indexId":"70259701","displayToPublicDate":"2024-10-16T06:07:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Demographic risk factors vary in the invasion front of chronic wasting disease in West Virginia, USA","docAbstract":"<div id=\"divARTICLECONTENTTop\"><div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">After detecting chronic wasting disease (CWD) in white-tailed deer (<i>Odocoileus virginianus</i>) in Hampshire County, West Virginia, USA, in 2005, we investigated the change of CWD apparent prevalence and potential factors influencing infection risk during the invasion front. Over eight sampling years (2006–2012 and 2017) during a 12-yr period within a 101-km<sup>2</sup>-area monitoring zone, we sampled and tested a total of 853 deer for CWD by ELISA and immunohistochemistry. Bayesian logistic regression of risk factors included collection year, age class, sex, and adjusted body weight (weight after accounting for sex, age, kidney fat index, and number of fetuses). In the whole-herd model (<i>n</i>=634), collection year, age, and adjusted body weight were associated with increased odds of CWD, whereas an age-weight interaction had a negative relationship. We found that males drove the positive associations with age and adjusted body weight, whereas females were responsible for the negative interaction effect. These findings suggest potential behavioral and physiological mechanisms related to sex that may influence CWD exposure. Older males exhibited higher CWD prevalence, aligning with previous studies. Notably, the novel finding of adjusted body weight as a risk factor in males warrants further investigation, and this study highlights the need for future research on social behavior and its role in CWD transmission within white-tailed deer populations.</p></div></div></div>","language":"English","publisher":"BioOne","doi":"10.7589/JWD-D-22-00160","usgsCitation":"Dugovich, B.S., Barton, E.P., Crum, J.M., Keel, M.K., Stallknecht, D., and Ruder, M.G., 2024, Demographic risk factors vary in the invasion front of chronic wasting disease in West Virginia, USA: Journal of Wildlife Diseases, v. 60, no. 4, p. 839-849, https://doi.org/10.7589/JWD-D-22-00160.","productDescription":"11 p.","startPage":"839","endPage":"849","ipdsId":"IP-145393","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":463052,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":463065,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://meridian.allenpress.com/jwd/article/60/4/839/501368/Demographic-Risk-Factors-Vary-in-the-Invasion"}],"volume":"60","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dugovich, Brian Scott 0000-0001-6729-745X","orcid":"https://orcid.org/0000-0001-6729-745X","contributorId":345361,"corporation":false,"usgs":true,"family":"Dugovich","given":"Brian","email":"","middleInitial":"Scott","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":916373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barton, Ethan P.","contributorId":345363,"corporation":false,"usgs":false,"family":"Barton","given":"Ethan","email":"","middleInitial":"P.","affiliations":[{"id":82554,"text":"Southeastern Cooperative Wildlife Disease Study, West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":916374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crum, James M.","contributorId":345365,"corporation":false,"usgs":false,"family":"Crum","given":"James","email":"","middleInitial":"M.","affiliations":[{"id":40299,"text":"West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":916375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keel, M. Kevin","contributorId":127729,"corporation":false,"usgs":false,"family":"Keel","given":"M.","email":"","middleInitial":"Kevin","affiliations":[{"id":7127,"text":"2Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":916376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":916377,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruder, Mark G.","contributorId":127728,"corporation":false,"usgs":false,"family":"Ruder","given":"Mark","email":"","middleInitial":"G.","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":916378,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70266793,"text":"70266793 - 2024 - Differential effects of chewing lice on body condition across host age and sex in Rough-legged Hawks (Buteo Lagopus)","interactions":[],"lastModifiedDate":"2025-05-13T16:57:44.708675","indexId":"70266793","displayToPublicDate":"2024-10-16T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Differential effects of chewing lice on body condition across host age and sex in Rough-legged Hawks (<i>Buteo Lagopus</i>)","title":"Differential effects of chewing lice on body condition across host age and sex in Rough-legged Hawks (Buteo Lagopus)","docAbstract":"<p><span>Chewing lice infesting avian hosts can significantly affect host health and fitness. Here, we present quantitative data on host body condition and louse abundance observed from 121 Rough-legged Hawks (</span><i>Buteo lagopus</i><span>) sampled across the North American nonbreeding range. Among hawks examined, louse prevalence was 71%, with a mean abundance and intensity of 9.1 and 12.8 lice, respectively. We identified lice as&nbsp;</span><i>Craspedorrhynchus</i><span>&nbsp;sp., either&nbsp;</span><i>Craspedorrhynchus dilatatus</i><span>&nbsp;or&nbsp;</span><i>Craspedorrhynchus taurocephalus</i><span>, dependent on future taxonomic revision of the genus. Female and juvenile hawks had greater louse intensity and prevalence compared with male and adult hawks, respectively. Host body condition, measured as a breast muscle score (keel score), was negatively correlated with louse abundance after controlling for host age and sex. Possible explanations for these patterns include the following: sex-biased louse transfer between adults and nestlings, when female nestlings experience increased transfer loads; body size differences between males and females, when females are larger than males in each life stage; and preening limitations in females and juveniles, when both spend more time hunting and less time preening relative to adult males. Our results corroborate previous studies suggesting that the primary sources of intraspecific variation in louse abundance are host body size and preening limitations.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/jwd-d-24-00013","usgsCitation":"Maron, M., Paprocki, N., Owen, J., and Conway, C.J., 2024, Differential effects of chewing lice on body condition across host age and sex in Rough-legged Hawks (Buteo Lagopus): Journal of Wildlife Diseases, v. 60, no. 4, p. 991-995, https://doi.org/10.7589/jwd-d-24-00013.","productDescription":"5 p.","startPage":"991","endPage":"995","ipdsId":"IP-162177","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485843,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -170.1598216010118,\n              71.95867731376902\n            ],\n            [\n              -165.74787299325868,\n              53.89371054531697\n            ],\n            [\n              -141.4971585569417,\n              57.25745553484542\n            ],\n            [\n              -133.93666437649375,\n              52.521083074829605\n            ],\n            [\n              -122.56008714416436,\n              32.51903886804273\n            ],\n            [\n              -79.5704947485521,\n              23.576545573990188\n            ],\n            [\n              -46.70173778622885,\n              50.99005180145423\n            ],\n            [\n              -101.05717607199908,\n              69.50239662535326\n            ],\n            [\n              -170.1598216010118,\n              71.95867731376902\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Maron, Mason W.","contributorId":355053,"corporation":false,"usgs":false,"family":"Maron","given":"Mason W.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":936797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paprocki, Neil","contributorId":355054,"corporation":false,"usgs":false,"family":"Paprocki","given":"Neil","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":936798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Owen, Jeb P.","contributorId":355055,"corporation":false,"usgs":false,"family":"Owen","given":"Jeb P.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":936799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936800,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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The 19 countries of interest in the Indo-Pacific study area include Bangladesh, Bhutan, Brunei, Burma, Fiji, Malaysia, Mongolia, Nauru, New Caledonia, New Zealand, Papua New Guinea, Philippines, Singapore, Solomon Islands, South Korea (Republic of Korea), Sri Lanka, Taiwan, Timor-Leste, and Vietnam. The primary objective of this effort was to create a fully attributed Geographic Information System (GIS) portraying existing mining infrastructure, resources, and production capacities across the Indo-Pacific study area as well as highlight mineral production and processing sites under development and potential areas of future extractive industry operations and development in the region. The compiled GIS geodatabase with supporting documentation including comprehensive metadata was published as a USGS data release titled \"Compilation of Geospatial Data (GIS) for the Mineral Industries of Select Countries in the Indo-Pacific.\"</p><p>This georeferenced portable document format (GeoPDF) map sheet presents a new geographic information product containing a partial representation of the GIS data. This GeoPDF map provides a visual comparison of the distribution of mineral industry GIS data, which contributes to a deeper understanding of the intersections and complexities of the extractive industries within the select countries in the Indo-Pacific region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241066","usgsCitation":"Neustaedter, E.R., and Wolfe, E.R., 2024, Geospatial PDF map of the compilation of GIS data for the mineral industries of select countries in the Indo-Pacific region: U.S. Geological Survey Open-File Report 2024–1066, 1 geospatial map, scale 1:42,500,000, https://doi.org/10.3133/ofr20241066.","productDescription":"Sheet: 12.00 x 18.00 inches; Data Release","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-168033","costCenters":[{"id":432,"text":"National Minerals Information 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Zealand\"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/national-minerals-information-center\" data-mce-href=\"https://www.usgs.gov/centers/national-minerals-information-center\">National Minerals Information Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>988 National Center<br>Reston, VA 20192</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Overview of Geospatial PDF Map Layout (Layer Navigation and Visibility)</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-10-15","noUsgsAuthors":false,"publicationDate":"2024-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Neustaedter, Elizabeth R. 0009-0006-3163-3726","orcid":"https://orcid.org/0009-0006-3163-3726","contributorId":332249,"corporation":false,"usgs":true,"family":"Neustaedter","given":"Elizabeth","email":"","middleInitial":"R.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":915454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolfe, Erica R. 0000-0002-6658-1624","orcid":"https://orcid.org/0000-0002-6658-1624","contributorId":332252,"corporation":false,"usgs":false,"family":"Wolfe","given":"Erica","email":"","middleInitial":"R.","affiliations":[{"id":79435,"text":"USGS National Minerals Information Center [contractor]","active":true,"usgs":false}],"preferred":false,"id":915455,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257544,"text":"70257544 - 2024 - Bird community response to field-level integration of prairie strips","interactions":[],"lastModifiedDate":"2024-09-06T17:48:01.411988","indexId":"70257544","displayToPublicDate":"2024-10-15T10:41:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":682,"text":"Agriculture, Ecosystems and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Bird community response to field-level integration of prairie strips","docAbstract":"<p>Grassland birds are under threat worldwide due to loss of habitat to agriculture. Prairie strips are a new agricultural conservation practice composed of linear strips of reconstructed diverse, native, herbaceous, perennial vegetation designed to promote land sharing among agriculture and biodiversity, while also addressing soil and water conservation goals. We evaluated bird community response to establishment of prairie strips on commercial row-crop fields (corn [(<i>Zea mays</i>] and soybean [<i>Glycine max</i>]) in Iowa, USA compared to controls fields without prairie strips, from 2015 to 2020. We found a 2.94-fold higher density of grassland birds on fields with prairie strips compared to control fields, and a 1.87-fold higher density of birds overall. Time since prairie strip establishment was a significant predictor of grassland bird density, with significant increases between years 1 and 2 and years 3 and 4. Species with the strongest positive response to prairie strips were Red-winged Blackbird (<i>Agelaius phoeniceus</i>), Common Yellowthroat (<i>Geothlypis trichas</i>), Western Meadowlark (<i>Sturnella neglecta</i>) and two species of greatest conservation need: Dickcissel (<i>Spiza americana</i>) and Eastern Meadowlark (<i>Sturnella magna</i>). Diversity measures (e.g., Shannon’s and Simpson’s indices) did not differ between fields with prairie strips versus those without. Prairie strips provide quality breeding habitat for a suite of species, including grassland species and those of conservation concern. While improving several bird community measures, prairie strips do not provide habitat for area-sensitive grassland birds. Larger grassland patches are needed, potentially managed as land-sparing reserves, to achieve overall biodiversity goals in agricultural landscapes.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2024.109075","usgsCitation":"Giese, J.C., Schulte, L.A., and Klaver, R.W., 2024, Bird community response to field-level integration of prairie strips: Agriculture, Ecosystems and Environment, v. 374, 109075, 12 p., https://doi.org/10.1016/j.agee.2024.109075.","productDescription":"109075, 12 p.","ipdsId":"IP-162780","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466844,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agee.2024.109075","text":"Publisher Index Page"},{"id":433577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70263321,"text":"70263321 - 2024 - Complex interactions of deer herbivory, soil chemistry, and competing vegetation explain oak–hickory forest tree regeneration in central Pennsylvania, USA","interactions":[],"lastModifiedDate":"2025-02-06T15:48:25.819339","indexId":"70263321","displayToPublicDate":"2024-10-15T09:42:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Complex interactions of deer herbivory, soil chemistry, and competing vegetation explain oak–hickory forest tree regeneration in central Pennsylvania, USA","docAbstract":"<p><span>The root causes of forest tree regeneration failure are difficult to resolve, although numerous studies show ungulate herbivory, soil conditions, and competition from undesirable vegetation as likely contributors. To better understand the relative importance of each issue, we conducted a 7-year manipulative experiment to assess the interactive effects of white-tailed deer (</span><i>Odocoileus virginianus</i><span>) herbivory, soil acidity, and competing vegetation on tree regeneration in oak–hickory forests of central Pennsylvania, USA. Outcomes depended on initial tree seedling abundance, and all three factors had significant interactions. At low initial seedling abundance, fencing resulted in the greatest increase, but all treatments had a positive effect on seedling growth and abundance. At higher initial seedling abundance, abundance failed to recover 7 years after herbicide treatment and soil pH was an important predictor. When soil pH was&nbsp;&gt;4.6 from lime application, seedling growth and abundance in unfenced controls with high initial abundance was comparable to the fenced-only treatment. Competing vegetation, assumed to be a symptom of excessive, long-term deer herbivory, does not seem to be the primary factor limiting tree regeneration in our study area. Ameliorating acid deposition warrants greater consideration as a management action because it could provide long-lasting benefits compared to short-term fence installations.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfr-2024-0034","usgsCitation":"Begley-Miller, D., Diefenbach, D.R., Domoto, E.J., Drohan, P.J., Jones, P., McDill, M., Rosenberry, C., Sabo, A., and Wallingford, B., 2024, Complex interactions of deer herbivory, soil chemistry, and competing vegetation explain oak–hickory forest tree regeneration in central Pennsylvania, USA: Canadian Journal of Forest Research, v. 54, no. 11, p. 1367-1375, https://doi.org/10.1139/cjfr-2024-0034.","productDescription":"9 p.","startPage":"1367","endPage":"1375","ipdsId":"IP-153632","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":487030,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70261501,"text":"70261501 - 2024 - The interplay of future solar energy, land cover change, and their projected impacts on natural lands and croplands in the US","interactions":[],"lastModifiedDate":"2024-12-12T15:18:43.620462","indexId":"70261501","displayToPublicDate":"2024-10-15T08:10:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The interplay of future solar energy, land cover change, and their projected impacts on natural lands and croplands in the US","docAbstract":"Projections for deep decarbonization require large amounts of solar energy, which may compete with other land uses such as agriculture, urbanization, and conservation of natural lands. Existing capacity expansion models do not integrate land use land cover change (LULC) dynamics into projections. We explored the interaction between projected LULC, solar photovoltaic (PV) deployment, and solar impacts on natural lands and croplands by integrating projections of LULC with a model that can project future deployment of solar PV with high spatial resolution for the conterminous United States. We used scenarios of LULC projections from the Intergovernmental Panel on Climate Change Special Report on Emission Scenarios from 2010 to 2050 and two electricity grid scenarios to model future PV deployment and compared those results against a baseline that held 2010 land cover constant through 2050. Though solar PV's overall technical potential was minimally impacted by LULC scenarios, deployed PV varied by −16.5 to 11.6 % in 2050 from the baseline scenario. Total land requirements for projected PV were similar to other studies, but measures of PV impacts on natural systems depended on the underlying land change dynamics occurring in a scenario. The solar PV deployed through 2050 resulted in 1.1 %–2.4 % of croplands and 0.3 %–0.7 % of natural lands being converted to PV. However, the deepest understanding of PV impacts and interactions with land cover emerged when the complete net gains and losses from all land cover change dynamics, including PV, were integrated. For example, one of the four LULC projections allows for high solar development and a net gain in natural lands, even though PV drives a larger percentage of natural land conversion. This paper shows that integrating land cover change dynamics with energy expansion models generates new insights into trade offs between decarbonization, impacts of renewables, and ongoing land cover change.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.173872","usgsCitation":"Diffendorfer, J., Sergi, B., Lopez, A., Williams, T., Gleason, M., Ancona, Z.H., and Cole, W., 2024, The interplay of future solar energy, land cover change, and their projected impacts on natural lands and croplands in the US: Science of the Total Environment, v. 947, 173872, 11 p., https://doi.org/10.1016/j.scitotenv.2024.173872.","productDescription":"173872, 11 p.","ipdsId":"IP-163022","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":466845,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.173872","text":"Publisher Index 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James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":920815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sergi, Brian","contributorId":347098,"corporation":false,"usgs":false,"family":"Sergi","given":"Brian","email":"","affiliations":[{"id":83069,"text":"NREL","active":true,"usgs":false}],"preferred":false,"id":920816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lopez, 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zancona@usgs.gov","orcid":"https://orcid.org/0000-0001-5430-0218","contributorId":5578,"corporation":false,"usgs":true,"family":"Ancona","given":"Zachary","email":"zancona@usgs.gov","middleInitial":"H.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":920820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cole, Wesely","contributorId":347102,"corporation":false,"usgs":false,"family":"Cole","given":"Wesely","email":"","affiliations":[{"id":83069,"text":"NREL","active":true,"usgs":false}],"preferred":false,"id":920821,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70259584,"text":"sir20245094 - 2024 - U.S. Geological Survey Tunison Laboratory of Aquatic Science research to rehabilitate native prey fish of the Lake Ontario fish community—Coregonine fishes","interactions":[],"lastModifiedDate":"2025-03-03T14:46:26.26243","indexId":"sir20245094","displayToPublicDate":"2024-10-15T07:48:51","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5094","displayTitle":"U.S. Geological Survey Tunison Laboratory of Aquatic Science Research to Rehabilitate Native Prey Fish of the Lake Ontario Fish Community—Coregonine Fishes","title":"U.S. Geological Survey Tunison Laboratory of Aquatic Science research to rehabilitate native prey fish of the Lake Ontario fish community—Coregonine fishes","docAbstract":"<p>Restoration of native coregonines to Lake Ontario of the Laurentian Great Lakes will improve the diversity of forage for salmonid predators and ecological function in the lake, but efficacy of experimental releases for native species restoration must be evaluated. The Coregonine Research Program at the U.S. Geological Survey Tunison Laboratory of Aquatic Science encompassed a diverse array of research, with an emphasis on improved culture methods and field assessments of experimentally released juvenile coregonines. This research was carried out to support the Fish Community Objectives of the Lake Ontario Committee, is funded largely by the Great Lakes Restoration Initiative, and was done in collaboration with other laboratories and agencies, particularly, the U.S. Fish and Wildlife Service; New York State Department of Environmental Conservation; Ontario Ministry of Natural Resources and Forestry; and other U.S. Geological Survey laboratories. The Tunison Laboratory of Aquatic Science and partners have developed new and innovative hatchery techniques to raise cisco and bloater to life stages suitable for survival in Lake Ontario; assessed adult bloater survival in Lake Ontario; and evaluated survival, return rate, and reproduction of adult cisco in historic spawning locations in Lake Ontario embayments. Successes, challenges, and research needs are discussed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245094","usgsCitation":"McKenna, J.E., Jr., Johnson, J.H., Lapan, S., Chalupnicki, M., Mackey, G., Millard, M., Loftus, K., Connerton, M., Legard, C., and Gorsky, D., 2024, U.S. Geological Survey Tunison Laboratory of Aquatic Science research to rehabilitate native prey fish of the Lake Ontario fish community—Coregonine fishes (ver. 1.1, February 2025): U.S. Geological Survey Scientific Investigations Report 2024–5094, 20 p., https://doi.org/10.3133/sir20245094.","productDescription":"v, 20 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-127523","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":482651,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245094/full"},{"id":482650,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5094/images/"},{"id":482652,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2024/5094/versionHist.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"}},{"id":482649,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5094/sir20245094.XML"},{"id":482648,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5094/sir20245094.pdf","text":"Report","size":"2.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5094"},{"id":464338,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5094/coverthb2.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.21906431864426,\n              42.90834987381433\n            ],\n            [\n              -75.67072447489446,\n              42.90834987381433\n            ],\n            [\n              -75.67072447489446,\n              44.55934805527755\n            ],\n            [\n              -80.21906431864426,\n              44.55934805527755\n            ],\n            [\n              -80.21906431864426,\n              42.90834987381433\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: October 15, 2024; Version 1.1: February 28, 2025","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/great-lakes-science-center\" data-mce-href=\"https://www.usgs.gov/centers/great-lakes-science-center\">Great Lakes Science Center</a><br>U.S. Geological Survey<br>1451 Green Road<br>Ann Arbor, MI 48105</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-10-15","revisedDate":"2025-02-28","noUsgsAuthors":false,"publicationDate":"2024-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":915795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":915796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lapan, Steven","contributorId":293871,"corporation":false,"usgs":false,"family":"Lapan","given":"Steven","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":915797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chalupnicki, Marc 0000-0002-3792-9345","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":242991,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":915798,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mackey, Gregg 0000-0002-6073-2487 gmackey@usgs.gov","orcid":"https://orcid.org/0000-0002-6073-2487","contributorId":293866,"corporation":false,"usgs":true,"family":"Mackey","given":"Gregg","email":"gmackey@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":915799,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Millard, Mike","contributorId":194166,"corporation":false,"usgs":false,"family":"Millard","given":"Mike","email":"","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false}],"preferred":false,"id":915800,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loftus, Kevin","contributorId":293865,"corporation":false,"usgs":false,"family":"Loftus","given":"Kevin","email":"","affiliations":[{"id":12864,"text":"OMNRF","active":true,"usgs":false}],"preferred":false,"id":915801,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Connerton, Michael 0000-0001-5400-4347","orcid":"https://orcid.org/0000-0001-5400-4347","contributorId":302344,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":915802,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Legard, Christopher","contributorId":272073,"corporation":false,"usgs":false,"family":"Legard","given":"Christopher","email":"","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":915803,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":915804,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gorsky, Dimitry 0000-0003-1708-539X","orcid":"https://orcid.org/0000-0003-1708-539X","contributorId":295528,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":915805,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70259639,"text":"70259639 - 2024 - Closing the conservation gap in the sagebrush biome: Spatial targeting and coordination are needed for conservation to keep pace with sagebrush losses","interactions":[],"lastModifiedDate":"2024-10-18T12:22:40.459817","indexId":"70259639","displayToPublicDate":"2024-10-15T07:21:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Closing the conservation gap in the sagebrush biome: Spatial targeting and coordination are needed for conservation to keep pace with sagebrush losses","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0001\" class=\"abstract author\"><div id=\"abss0001\"><div id=\"spara008\" class=\"u-margin-s-bottom\">Core sagebrush areas (CSAs), patches of high sagebrush ecological integrity, continue to decline despite significant conservation and restoration investments across the sagebrush biome. Historically, conservation decisions in the biome have been driven by wildlife species-specific demands, but increasing recognition of the scale of threats and the pace of ecosystem degradation has compelled a shift towards threat-based ecosystem management. Therefore, there is a need to evaluate the scale of conservation implementation relative to the rate of degradation or loss from specific threats to the biome to assess whether a conservation deficit exists. To this end, we: 1) quantified and compared the average hectares of conservation practices implemented annually relative to the hectares of CSA loss attributed to each threat; 2) evaluated the relative amount of conservation actions in core sagebrush areas, growth opportunity areas, and other rangeland areas; and 3) assessed how much additional conservation may be needed to stop CSA declines. We then quantified how better spatial targeting and enhanced coordination might reduce the total additional amount of future conservation needed, and evaluated how an influx of resources can close the conservation gap, or the deficit between the conservation needed to offset annual loss and degradation and the capacity for conservation implementation. We found that current rates of conservation (e.g., hectares treated annually) are markedly lower than rates of CSA loss (∼10% of average annual loss). Furthermore, most conservation actions, ∼90% for some treatment types, occurred outside of CSAs likely reducing the efficacy of these conservation actions at retaining and restoring intact sagebrush rangelands. Additionally, we found that conservation efforts will need to increase by more than an order of magnitude (at least 10x) annually to halt CSA declines. However, through better spatial targeting of conservation actions, the increase in conservation needed to stop CSA loss could be reduced by 70% or more. This analysis demonstrates the divergent futures that may await the sagebrush biome pending key decisions regarding conservation targeting, stakeholder cooperation, and the strategic addition of resources.</div></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.08.016","usgsCitation":"Mozelewski, T.G., Freeman, P.T., Kumar, A.V., Naugle, D., Olimpi, E.M., Morford, S.L., Jeffries, M.I., Pilliod, D., Littlefield, C.E., McCord, S.E., Wiechman, L.A., Kachergis, E.J., and Doherty, K., 2024, Closing the conservation gap in the sagebrush biome: Spatial targeting and coordination are needed for conservation to keep pace with sagebrush losses: Rangeland Ecology and Management, v. 97, p. 12-24, https://doi.org/10.1016/j.rama.2024.08.016.","productDescription":"13 p.","startPage":"12","endPage":"24","ipdsId":"IP-164281","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":466846,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.08.016","text":"Publisher Index Page"},{"id":462999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mozelewski, Tina G.","contributorId":345236,"corporation":false,"usgs":false,"family":"Mozelewski","given":"Tina","email":"","middleInitial":"G.","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":916104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Patrick T.","contributorId":345237,"corporation":false,"usgs":false,"family":"Freeman","given":"Patrick","email":"","middleInitial":"T.","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":916105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kumar, Alexander V. 0000-0003-3831-5924","orcid":"https://orcid.org/0000-0003-3831-5924","contributorId":224038,"corporation":false,"usgs":false,"family":"Kumar","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":916106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Naugle, David E.","contributorId":255114,"corporation":false,"usgs":false,"family":"Naugle","given":"David E.","affiliations":[{"id":51432,"text":"W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT, 59812, USA","active":true,"usgs":false}],"preferred":false,"id":916107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olimpi, Elissa M.","contributorId":345241,"corporation":false,"usgs":false,"family":"Olimpi","given":"Elissa","email":"","middleInitial":"M.","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":916108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morford, Scott L.","contributorId":345243,"corporation":false,"usgs":false,"family":"Morford","given":"Scott","email":"","middleInitial":"L.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":916109,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jeffries, Michelle I. 0000-0003-1146-1331","orcid":"https://orcid.org/0000-0003-1146-1331","contributorId":202734,"corporation":false,"usgs":true,"family":"Jeffries","given":"Michelle","middleInitial":"I.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":916110,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":916111,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Littlefield, Caitlin E. 0000-0003-3771-7956","orcid":"https://orcid.org/0000-0003-3771-7956","contributorId":220623,"corporation":false,"usgs":false,"family":"Littlefield","given":"Caitlin","email":"","middleInitial":"E.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":916112,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCord, Sarah E.","contributorId":195931,"corporation":false,"usgs":false,"family":"McCord","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":916113,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":916114,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kachergis, Emily J.","contributorId":345248,"corporation":false,"usgs":false,"family":"Kachergis","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":916115,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Doherty, Kevin E.","contributorId":177793,"corporation":false,"usgs":false,"family":"Doherty","given":"Kevin E.","affiliations":[],"preferred":false,"id":916116,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70259603,"text":"70259603 - 2024 - The state of the bats in North America","interactions":[],"lastModifiedDate":"2024-11-22T16:14:27.671078","indexId":"70259603","displayToPublicDate":"2024-10-15T06:41:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":801,"text":"Annals of the New York Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The state of the bats in North America","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>The world's rich diversity of bats supports healthy ecosystems and important ecosystem services. Maintaining healthy biological systems requires prompt identification of threats to biodiversity and immediate action to protect species, which for wide-ranging bat species that span geopolitical boundaries warrants international coordination. Anthropogenic forces drive the threats to bats throughout North America and the world. We conducted an international expert elicitation to assess the status of 153 bat species in Canada, the United States, and Mexico. We used expert assessment to determine the conservation status, highest impact threats, and recent population trends for these species. We found that 53% of North American bat species have moderate to very high risk of extinction in the next 15 years. The highest impact threats varied with species and country, and four IUCN threat categories had the greatest overall impacts: Climate Change, Problematic Species (including disease), Agriculture, and Energy Production. Experts estimated that 90% of species assessed had decreasing population trends over the past 15 years, demonstrating the need for conservation action. Although the state of North American bats is concerning, we identify threats that can be addressed through internationally collaborative, proactive, and protective actions to support the recovery and resilience of North American bat species.</p></div></div>","language":"English","publisher":"New York Academy of Sciences","doi":"10.1111/nyas.15225","usgsCitation":"Adams, A.M., Trujillo, L.A., Campbell, C., Akre, K.L., Arroyo-Cabrales, J., Burns, L., Coleman, J.T., Dixon, R.D., Francis, C.M., Gamba-Rios, M., Kuczynska, V., McIntire, A., Medellin, R.A., Morris, K.M., Reichard, J.D., Reichert, B., Segers, J.L., Whitby, M.D., and Frick, W.F., 2024, The state of the bats in North America: Annals of the New York Academy of Sciences, v. 1541, no. 1, p. 115-128, https://doi.org/10.1111/nyas.15225.","productDescription":"14 p.","startPage":"115","endPage":"128","ipdsId":"IP-167549","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466847,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nyas.15225","text":"Publisher Index Page"},{"id":462930,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1541","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Adams, Amanda M. 0000-0002-8365-6456","orcid":"https://orcid.org/0000-0002-8365-6456","contributorId":345169,"corporation":false,"usgs":false,"family":"Adams","given":"Amanda","email":"","middleInitial":"M.","affiliations":[{"id":82508,"text":"Bat Conservation International, 500 N Capital of Texas Highway, Austin, TX, 78746 USA","active":true,"usgs":false}],"preferred":false,"id":915897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trujillo, Luis A. 0000-0001-8364-6189","orcid":"https://orcid.org/0000-0001-8364-6189","contributorId":345170,"corporation":false,"usgs":false,"family":"Trujillo","given":"Luis","email":"","middleInitial":"A.","affiliations":[{"id":82509,"text":"Institute of Ecology, UNAM, Circuito Exterior Sin Número, Ciudad Universitaria, Coyoacán, C.P. 04510, CDMX, Mexico","active":true,"usgs":false}],"preferred":false,"id":915898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, C.J. 0000-0002-8199-7775","orcid":"https://orcid.org/0000-0002-8199-7775","contributorId":345171,"corporation":false,"usgs":false,"family":"Campbell","given":"C.J.","email":"","affiliations":[{"id":82508,"text":"Bat Conservation International, 500 N Capital of Texas Highway, Austin, TX, 78746 USA","active":true,"usgs":false}],"preferred":false,"id":915899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Akre, Karen L. 0009-0000-6544-2860","orcid":"https://orcid.org/0009-0000-6544-2860","contributorId":345172,"corporation":false,"usgs":false,"family":"Akre","given":"Karen","email":"","middleInitial":"L.","affiliations":[{"id":82508,"text":"Bat Conservation International, 500 N Capital of Texas Highway, Austin, TX, 78746 USA","active":true,"usgs":false}],"preferred":false,"id":915900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arroyo-Cabrales, Joaquin 0000-0002-9095-489X","orcid":"https://orcid.org/0000-0002-9095-489X","contributorId":345173,"corporation":false,"usgs":false,"family":"Arroyo-Cabrales","given":"Joaquin","email":"","affiliations":[{"id":82510,"text":"Laboratorio de Arqueozoología, Instituto Nacional de Antropología e Historia, Moneda 16, Centro Histórico, 06060, CDMX, México","active":true,"usgs":false}],"preferred":false,"id":915901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burns, Leanne 0009-0003-2325-0168","orcid":"https://orcid.org/0009-0003-2325-0168","contributorId":345174,"corporation":false,"usgs":false,"family":"Burns","given":"Leanne","email":"","affiliations":[{"id":82511,"text":"Association of Fish and Wildlife Agencies, 1100 First Street NE, Suite 825, Washington, DC 20002, USA","active":true,"usgs":false}],"preferred":false,"id":915902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coleman, Jeremy T.H. 0000-0002-2762-947X","orcid":"https://orcid.org/0000-0002-2762-947X","contributorId":239956,"corporation":false,"usgs":false,"family":"Coleman","given":"Jeremy","email":"","middleInitial":"T.H.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":915903,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dixon, Rita D. 0000-0003-3039-5122","orcid":"https://orcid.org/0000-0003-3039-5122","contributorId":345175,"corporation":false,"usgs":false,"family":"Dixon","given":"Rita","email":"","middleInitial":"D.","affiliations":[{"id":82512,"text":"Idaho Department of Fish and Game, 600 S Walnut St., Boise, ID 83712, USA","active":true,"usgs":false}],"preferred":false,"id":915904,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Francis, Charles M.","contributorId":195680,"corporation":false,"usgs":false,"family":"Francis","given":"Charles","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":915905,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gamba-Rios, Melquisedec 0000-0003-0669-3795","orcid":"https://orcid.org/0000-0003-0669-3795","contributorId":345176,"corporation":false,"usgs":false,"family":"Gamba-Rios","given":"Melquisedec","email":"","affiliations":[{"id":82508,"text":"Bat Conservation International, 500 N Capital of Texas Highway, Austin, TX, 78746 USA","active":true,"usgs":false}],"preferred":false,"id":915906,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kuczynska, Vona 0000-0003-1726-390X","orcid":"https://orcid.org/0000-0003-1726-390X","contributorId":345177,"corporation":false,"usgs":false,"family":"Kuczynska","given":"Vona","email":"","affiliations":[{"id":82513,"text":"U.S. Fish and Wildlife Service, Northeast Regional Office, 300 Westgate Center Drive, Hadley, MA 01035, USA","active":true,"usgs":false}],"preferred":false,"id":915907,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McIntire, Angie 0009-0004-8738-5894","orcid":"https://orcid.org/0009-0004-8738-5894","contributorId":345178,"corporation":false,"usgs":false,"family":"McIntire","given":"Angie","email":"","affiliations":[{"id":82514,"text":"Arizona Game and Fish Department, 5000 W. Carefree Highway, Phoenix, AZ 85086, USA","active":true,"usgs":false}],"preferred":false,"id":915908,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Medellin, Rodrigo A. 0000-0002-4242-5344","orcid":"https://orcid.org/0000-0002-4242-5344","contributorId":345179,"corporation":false,"usgs":false,"family":"Medellin","given":"Rodrigo","email":"","middleInitial":"A.","affiliations":[{"id":82509,"text":"Institute of Ecology, UNAM, Circuito Exterior Sin Número, Ciudad Universitaria, Coyoacán, C.P. 04510, CDMX, Mexico","active":true,"usgs":false}],"preferred":false,"id":915909,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Morris, Katrina M.","contributorId":267212,"corporation":false,"usgs":false,"family":"Morris","given":"Katrina","email":"","middleInitial":"M.","affiliations":[{"id":36378,"text":"Georgia Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":915910,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Reichard, Jonathan D. 0000-0002-4792-2868","orcid":"https://orcid.org/0000-0002-4792-2868","contributorId":337073,"corporation":false,"usgs":false,"family":"Reichard","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":915911,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":915912,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Segers, Jordi L.","contributorId":248486,"corporation":false,"usgs":false,"family":"Segers","given":"Jordi","email":"","middleInitial":"L.","affiliations":[{"id":49930,"text":"Canadian Health Cooperative","active":true,"usgs":false}],"preferred":false,"id":915913,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Whitby, Michael D. 0000-0002-0694-3830","orcid":"https://orcid.org/0000-0002-0694-3830","contributorId":345180,"corporation":false,"usgs":false,"family":"Whitby","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":82508,"text":"Bat Conservation International, 500 N Capital of Texas Highway, Austin, TX, 78746 USA","active":true,"usgs":false}],"preferred":false,"id":915914,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Frick, Winifred F. 0000-0002-9469-1839","orcid":"https://orcid.org/0000-0002-9469-1839","contributorId":337076,"corporation":false,"usgs":false,"family":"Frick","given":"Winifred","email":"","middleInitial":"F.","affiliations":[{"id":12591,"text":"Bat Conservation International","active":true,"usgs":false}],"preferred":false,"id":915915,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70260381,"text":"70260381 - 2024 - An assessment of N, P, Fe, Zn, Ni and Mo limitation on suspended nutrient diffusing substrates in nearshore areas of Lake Michigan and Lake Erie","interactions":[],"lastModifiedDate":"2024-10-31T11:44:01.543101","indexId":"70260381","displayToPublicDate":"2024-10-15T06:39:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3897,"text":"Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of N, P, Fe, Zn, Ni and Mo limitation on suspended nutrient diffusing substrates in nearshore areas of Lake Michigan and Lake Erie","docAbstract":"<div class=\"hlFld-Abstract\"><p class=\"last\">In large lakes, metal availability sometimes limits the acquisition of nutrients (nitrogen, N and phosphorus, P) in offshore waters that are relatively isolated from tributaries and sediments. We hypothesize that metals may also be important within harmful algal blooms (HABs). HABs occur where nutrient loads are elevated, but bioassays often indicate that phytoplankton in HABs are N or P limited. Nutrient limitation may be exacerbated by corresponding limitations in several metals (i.e. nickel - Ni, molybdenum - Mo, zinc - Zn, and iron - Fe) that facilitate uptake and transformation of oxidized and organic forms of nutrients, such as urea, nitrate and organic phosphorus. The cyanotoxin microcystin has been hypothesized to have a role in metal management, so metal demand may also influence the toxicity of HABs. Here, we used nutrient diffusing substrates to measure how N, P, Ni, Mo, Zn and Fe amendments influenced the growth and toxicity of periphyton. Periphyton was grown suspended in 10 nearshore sites in Lake Michigan and Lake Erie (5 with and 5 without perennial HABs). Outside of blooms, we found no evidence for metal limitation or co-limitation. However, evidence for metal co-limitation was observed in two HABs sites (Zn in Green Bay and Zn, Mo, Ni and Fe in Sandusky Bay). N, P and Zn amendments all stimulated microcystin content in Maumee Bay. These data indicate that nutrient limitation occurs even within blooms, and the availability of metals may have an influence on growth, community composition and toxicity.</p></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02705060.2024.2405748","usgsCitation":"Larson, J.H., Costello, D.M., Stoll, J.T., Fitzgibbon, A.S., Bailey, S., and Evans, M.A., 2024, An assessment of N, P, Fe, Zn, Ni and Mo limitation on suspended nutrient diffusing substrates in nearshore areas of Lake Michigan and Lake Erie: Freshwater Ecology, v. 39, no. 1, 2405748, 23 p., https://doi.org/10.1080/02705060.2024.2405748.","productDescription":"2405748, 23 p.","ipdsId":"IP-144308","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":466848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2024.2405748","text":"Publisher Index Page"},{"id":463475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan, Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.20742349238255,\n              44.424852801822794\n            ],\n            [\n              -87.68007974238255,\n              44.424852801822794\n            ],\n            [\n              -87.68007974238255,\n              44.79245610900287\n            ],\n            [\n              -88.20742349238255,\n              44.79245610900287\n            ],\n            [\n              -88.20742349238255,\n              44.424852801822794\n            ]\n          ]\n        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Center","active":true,"usgs":true}],"preferred":true,"id":917488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costello, David M. 0000-0002-1532-5399","orcid":"https://orcid.org/0000-0002-1532-5399","contributorId":255146,"corporation":false,"usgs":false,"family":"Costello","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":18142,"text":"Kent State University","active":true,"usgs":false}],"preferred":false,"id":917489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoll, Jordyn T.","contributorId":345787,"corporation":false,"usgs":false,"family":"Stoll","given":"Jordyn","email":"","middleInitial":"T.","affiliations":[{"id":82711,"text":"Kent State","active":true,"usgs":false}],"preferred":false,"id":917490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzgibbon, Andrea S.","contributorId":345788,"corporation":false,"usgs":false,"family":"Fitzgibbon","given":"Andrea","email":"","middleInitial":"S.","affiliations":[{"id":82711,"text":"Kent State","active":true,"usgs":false}],"preferred":false,"id":917491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, Sean 0000-0003-0361-7914 sbailey@usgs.gov","orcid":"https://orcid.org/0000-0003-0361-7914","contributorId":198515,"corporation":false,"usgs":true,"family":"Bailey","given":"Sean","email":"sbailey@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":917492,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":917493,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70259449,"text":"ofr20241057 - 2024 - Quantifying potential effects of China’s gallium and germanium export restrictions on the U.S. economy","interactions":[],"lastModifiedDate":"2024-10-18T18:18:02.080357","indexId":"ofr20241057","displayToPublicDate":"2024-10-15T06:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1057","displayTitle":"Quantifying Potential Effects of China’s Gallium and Germanium Export Restrictions on the U.S. Economy","title":"Quantifying potential effects of China’s gallium and germanium export restrictions on the U.S. economy","docAbstract":"<p>China’s export controls on gallium and germanium exemplify concerns regarding the reliability of supplies of mineral commodities that are essential to economic development, national security, and transition to renewable energy. This report presents a new model that quantifies the potential effects of mineral commodity supply disruptions on the U.S. economy. After calculating postdisruption equilibrium prices and quantities, a nonlinear optimization routine was used along with economic input-output tables to estimate the effects of varying Chinese net export restrictions of gallium and germanium on U.S. gross domestic product (GDP). The results indicated that a complete restriction of China’s net exports of gallium and germanium could cause the U.S. GDP to decrease by $3.1 billion (with lower and upper estimates of $1.7 billion to $8.2 billion) and $0.4 billion ($0.01 billion to $1.1 billion), respectively, if disrupted separately, and $3.4 billion ($1.7 billion to $9.0 billion) if disrupted simultaneously. The proposed model can be applied to other commodities and disruption scenarios.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241057","usgsCitation":"Nassar, N.T., Shojaeddini, E., Alonso, E., Jaskula, B., and Tolcin, A., 2024, Quantifying potential effects of China’s gallium and germanium export restrictions on the U.S. economy: U.S. Geological Survey Open-File Report 2024–1057, 66 p., https://doi.org/10.3133/ofr20241057.","productDescription":"vi, 66 p.","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-164579","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":462693,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1057/coverthb.jpg"},{"id":462696,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1057/ofr20241057.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2024-1057 XML"},{"id":462697,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1057/images/"},{"id":462694,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1057/ofr20241057.pdf","text":"Report","size":"2.77 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1057 PDF"},{"id":462695,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241057/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1057 HTML"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/national-minerals-information-center\" data-mce-href=\"https://www.usgs.gov/centers/national-minerals-information-center\">National Minerals Information Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>988 National Center<br>Reston, VA 20192</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Significance Statement</li><li>Introduction</li><li>Background on Gallium and Germanium</li><li>Materials and Methods</li><li>Results and Discussion</li><li>Limitations and Applicability</li><li>References Cited</li><li>Appendix 1. Supplemental Information for Quantifying Potential Effects of China’s Gallium and Germanium Export Restrictions on the U.S. Economy</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-10-15","noUsgsAuthors":false,"plainLanguageSummary":"<p>China’s export controls on gallium and germanium illustrate concerns about the reliability of supplies of mineral commodities that are essential to economic development, national security, and transitioning to renewable energy. The U.S. Geological Survey created a new model to quantify the potential effects of mineral commodity supply disruptions from Chinese net export restrictions of gallium and germanium on U.S. gross domestic product (GDP). The results indicated that a complete restriction of China’s net exports of gallium and germanium could cause the U.S. GDP to decrease by $3.1 billion (with lower and upper estimates of $1.7 billion to $8.2 billion) and $0.4 billion ($0.01 billion to $1.1 billion), respectively, if disrupted separately, and $3.4 billion ($1.7 billion to $9.0 billion) if disrupted simultaneously. The proposed model can be applied to other commodities and disruption scenarios.</p>","publicationDate":"2024-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":915292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shojaeddini, Ensieh 0000-0001-9584-6399","orcid":"https://orcid.org/0000-0001-9584-6399","contributorId":345023,"corporation":false,"usgs":false,"family":"Shojaeddini","given":"Ensieh","affiliations":[{"id":82464,"text":"Akima System Engineering","active":true,"usgs":false}],"preferred":false,"id":915293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alonso, Elisa 0000-0002-0090-8284","orcid":"https://orcid.org/0000-0002-0090-8284","contributorId":223015,"corporation":false,"usgs":true,"family":"Alonso","given":"Elisa","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":915294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaskula, Brian 0000-0002-4540-1639","orcid":"https://orcid.org/0000-0002-4540-1639","contributorId":345024,"corporation":false,"usgs":true,"family":"Jaskula","given":"Brian","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":915295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tolcin, Amy 0000-0001-9447-2444 atolcin@usgs.gov","orcid":"https://orcid.org/0000-0001-9447-2444","contributorId":213768,"corporation":false,"usgs":true,"family":"Tolcin","given":"Amy","email":"atolcin@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":915296,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269674,"text":"70269674 - 2024 - Forest cover influences fish mercury concentrations in national parks of the western U.S.","interactions":[],"lastModifiedDate":"2025-07-29T15:11:28.178611","indexId":"70269674","displayToPublicDate":"2024-10-15T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Forest cover influences fish mercury concentrations in national parks of the western U.S.","docAbstract":"<p><span>The global prevalence of mercury (Hg) contamination and its complex biogeochemical cycling has resulted in elevated Hg concentrations in biota in remote and pristine environments. However, there is uncertainty in the relative importance of Hg deposition and landscape factors that control Hg cycling and bioaccumulation. To address this, we measured total mercury (THg) concentrations in 1344 fish across 60 subalpine lakes from 12 national parks (NPs). These parks represent three distinct high-elevation regions across the western U.S.: Cascades and Olympic Peninsula, Sierra Nevada and Great Basin, and Rocky Mountains. Within these regions, three NPs (Mount Rainier, Yosemite, and Rocky Mountain) were intensively studied representatives of each region. This study aimed to (1) assess the magnitude of mercury contamination in a collection of remote, small catchment lakes; (2) quantify the variability of fish THg concentrations among and within parks; and (3) test the relative importance of Hg inputs in comparison to landscape characteristics on lake-specific fish THg concentrations. The spatial variability in fish THg concentrations was 2.6-fold higher than variation in deposition to watersheds, suggesting that factors other than Hg delivery are important determinants of Hg accumulation in these environments. Spatially, fish THg concentrations (ng/g ww&nbsp;±&nbsp;standard error) were lower in the Rockies (46.2&nbsp;±&nbsp;5.0) and Sierra (56.5&nbsp;±&nbsp;5.8) compared to the Cascades (67.8&nbsp;±&nbsp;6.1). Additionally, fish THg concentrations increased with increasing conifer forest cover (Intensive parks:&nbsp;</span><i>P</i><span>&nbsp;&lt;&nbsp;0.0001, R</span><sup>2</sup><span>&nbsp;=&nbsp;0.43; All parks:&nbsp;</span><i>P</i><span>&nbsp;=&nbsp;0.0001, R</span><sup>2</sup><span>&nbsp;=&nbsp;0.23) but were not correlated with wet Hg deposition across the catchment. These findings suggest that forest composition is likely an important aspect of Hg delivery to lake food webs, and although the mechanisms are unclear, could be tied to some combination of forest influences on catchment organic carbon and increased surface area for dry Hg deposition.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.176936","usgsCitation":"Flanagan-Pritz, C.M., Johnson, B.L., Willacker, J., Kennedy, C.M., Daniele, N., and Eagles-Smith, C., 2024, Forest cover influences fish mercury concentrations in national parks of the western U.S.: Science of the Total Environment, v. 955, 176936, 10 p., https://doi.org/10.1016/j.scitotenv.2024.176936.","productDescription":"176936, 10 p.","ipdsId":"IP-167506","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":493324,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.176936","text":"Publisher Index Page"},{"id":493107,"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              -124.90372169965117,\n              48.83924487815952\n            ],\n            [\n              -124.90372169965117,\n              35.409036548087556\n            ],\n            [\n              -104.74017350711692,\n              35.409036548087556\n            ],\n            [\n              -104.74017350711692,\n              48.83924487815952\n            ],\n            [\n              -124.90372169965117,\n              48.83924487815952\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"955","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Flanagan-Pritz, Colleen M.","contributorId":301093,"corporation":false,"usgs":false,"family":"Flanagan-Pritz","given":"Colleen","email":"","middleInitial":"M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":944351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Branden L. 0000-0002-8018-6452 branden_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-8018-6452","contributorId":257446,"corporation":false,"usgs":true,"family":"Johnson","given":"Branden","email":"branden_johnson@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":944352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":221744,"corporation":false,"usgs":true,"family":"Willacker","given":"James","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":944353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Christopher M.","contributorId":346473,"corporation":false,"usgs":false,"family":"Kennedy","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":944354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daniele, Ninette R.","contributorId":358885,"corporation":false,"usgs":false,"family":"Daniele","given":"Ninette R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":944355,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":944356,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267866,"text":"70267866 - 2024 - Climate change amplifies ongoing declines in sagebrush ecological integrity","interactions":[],"lastModifiedDate":"2025-06-05T15:13:00.158649","indexId":"70267866","displayToPublicDate":"2024-10-15T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Climate change amplifies ongoing declines in sagebrush ecological integrity","docAbstract":"Understanding how climate change will contribute to ongoing declines in sagebrush ecological integrity is critical for informing natural resource management, yet complicated by interactions with wildfire and biological invasions. Here, we assessed potential future changes in sagebrush ecological integrity under a range of scenarios using an individual plant-based simulation model, integrated with remotely sensed estimates of current sagebrush ecological integrity. The simulation model allowed us to estimate how climate change, wildfire, and invasive annuals interact to alter the potential abundance of key plant functional types that influence sagebrush ecological integrity: sagebrush, perennial grasses, and annual grasses. Our results suggest that climate driven reductions in sagebrush ecological integrity may occur over broader areas than increases in sagebrush ecological integrity. Declines in sagebrush ecological integrity were most likely in hot and dry regions while increases were more likely in cool and wet regions. Increases in wildfire probability, largely driven by increasing invasive annual grass abundance, resulted in projected declines in sagebrush abundance and sagebrush ecological integrity in some regions, particularly the Great Basin. The most common projected transitions in sagebrush habitat classification were declines from Core Sagebrush Area to Growth Opportunity Area and from Growth Opportunity Area to Other Rangeland Area. Responses varied considerably across projections from different global climate models, highlighting the importance of climate uncertainty. However, our projections tended to be robust in areas that currently have the highest sagebrush ecological integrity. Our results provide a long-term perspective on the vulnerability of sagebrush ecosystems to climate change and may inform geographic prioritization of conservation and restoration investments. These results suggest that ongoing threats, such as the continued invasion by annual grasses and increased wildfire frequency, are likely to be amplified by climate change, and imply that the current imbalance between capacity for conservation to address threats to sagebrush will grow as the climate warms.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.08.003","usgsCitation":"Holdrege, M., Palmquist, K.A., Schlaepfer, D.R., Lauenroth, W.K., Boyd, C.S., Creutzburg, M.K., Crist, M., Doherty, K., Remington, T., Tull, J.C., Wiechman, L.A., and Bradford, J., 2024, Climate change amplifies ongoing declines in sagebrush ecological integrity: Rangeland Ecology and Management, v. 97, p. 25-40, https://doi.org/10.1016/j.rama.2024.08.003.","productDescription":"16 p.","startPage":"25","endPage":"40","ipdsId":"IP-163697","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":490173,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.08.003","text":"Publisher Index Page"},{"id":489688,"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      \"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          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University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":939178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":939179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. 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,{"id":70262444,"text":"70262444 - 2024 - Hatch timing of largemouth bass: Implications for recruitment at the northern edge of their native range","interactions":[],"lastModifiedDate":"2025-01-21T15:07:55.662733","indexId":"70262444","displayToPublicDate":"2024-10-14T09:19:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hatch timing of largemouth bass: Implications for recruitment at the northern edge of their native range","docAbstract":"<p><span>Climate-related shifts in hatch timing could mean that age-0 largemouth bass&nbsp;</span><i>Micropterus salmoides</i><span>&nbsp;in north temperate lakes reach larger sizes and experience higher survival, which may contribute to increased prevalence of this species in many lakes. However, information on age-0 largemouth bass life history is lacking for these lakes. We estimated hatch dates, daily growth rates (DGR), and length-based probability of piscivory of age-0 largemouth bass in Wisconsin lakes to: (1) provide baseline data on early life history; (2) compare hatch timing between years with different spring temperature regimes, and (3) project how shifts in hatch timing might influence total length (TL) distributions of age-0 bass if mean DGR remained constant. Most age-0 largemouth bass (&gt;90%) collected from ten Wisconsin lakes (</span><i>N</i><span> = 746) hatched between 23 May and 24 June during 2012 and 2013 and did not switch to piscivory during their first summer. Prevalence of positive correlations (16 of 24 lake-year pairings) between TL in and age indicates hatch timing may influence TLs attained by age-0 largemouth bass in August in some lake-years. Mean daily water temperatures in May 2012 were 3.1 °C warmer than in May 2013 for the five of the six lakes where hatch dates were estimated in both years. On average, earliest and median hatch dates for age-0 largemouth bass in these six lakes were 10–11 d earlier in 2012 than in 2013 and hatch duration was approximately 8 d longer in 2012. Despite differences in hatch timing, mean DGR was relatively consistent (range = 0.61–0.74 mm/d) between lakes and years. Simple simulations suggest that earlier hatch dates could result in more age-0 largemouth bass reaching TLs associated with piscivory and overwinter survival by the end of their first summer if growth rates did not change, which could translate to higher recruitment.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2024.2403360","usgsCitation":"Coppola, G., Kelling, C., Dembkowski, D., and Isermann, D.A., 2024, Hatch timing of largemouth bass: Implications for recruitment at the northern edge of their native range: Journal of Freshwater Ecology, v. 39, no. 1, 2403360, 17 p., https://doi.org/10.1080/02705060.2024.2403360.","productDescription":"2403360, 17 p.","ipdsId":"IP-155075","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481056,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2024.2403360","text":"Publisher Index 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 \"}}]}","volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Coppola, Giancarlo","contributorId":349329,"corporation":false,"usgs":false,"family":"Coppola","given":"Giancarlo","affiliations":[{"id":83472,"text":"University of Wisconsin–Stevens Point","active":true,"usgs":false}],"preferred":false,"id":924224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelling, Craig J.","contributorId":349330,"corporation":false,"usgs":false,"family":"Kelling","given":"Craig J.","affiliations":[{"id":83472,"text":"University of Wisconsin–Stevens Point","active":true,"usgs":false}],"preferred":false,"id":924225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dembkowski, Daniel J.","contributorId":349331,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel J.","affiliations":[{"id":83472,"text":"University of Wisconsin–Stevens Point","active":true,"usgs":false}],"preferred":false,"id":924226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924227,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262087,"text":"70262087 - 2024 - Reframing conservation audiences from individuals to social beings","interactions":[],"lastModifiedDate":"2025-01-13T15:13:51.158748","indexId":"70262087","displayToPublicDate":"2024-10-14T09:10:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"Reframing conservation audiences from individuals to social beings","docAbstract":"<p><span>Environmental practitioners often develop communications and behavior change interventions that conceptualize individuals as consumers or as other limited, standalone personae. This view neglects the role of conservation audiences as social beings with complex social relationships and networks, potentially resulting in lost opportunities to increase the effectiveness of conservation interventions. We offer a reframing of individuals as members of social networks who can influence others through their many different societal roles. This framing may help individuals recognize their potential to affect large-scale societal structures and empower them to contribute to systemic changes. In practice, conservation organizations might increase the impact and reach of their behavioral interventions by targeting social referents (individuals or groups who people reference for accepted and desired behaviors) and leveraging interpersonal relationships. This includes encouraging individuals to make use of their networks to discuss issues such as biodiversity loss with a variety of acquaintances to normalize them as a topic of conversation. We argue that organizations can leverage the power of social networks to amplify change and promote the message that people change the world through their social ties, thereby inspiring audiences to further engage in conservation behaviors.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/conl.13064","usgsCitation":"Thomas-Walters, L., Cologna, V., de Lange, E., Ettinger, J., Selinske, M., and Jones, M.S., 2024, Reframing conservation audiences from individuals to social beings: Conservation Letters, v. 17, no. 6, e13064, 7 p., https://doi.org/10.1111/conl.13064.","productDescription":"e13064, 7 p.","ipdsId":"IP-159262","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":466849,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/conl.13064","text":"Publisher Index Page"},{"id":466112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas-Walters, L.","contributorId":348161,"corporation":false,"usgs":false,"family":"Thomas-Walters","given":"L.","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":923040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cologna, V.","contributorId":348162,"corporation":false,"usgs":false,"family":"Cologna","given":"V.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":923041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Lange, E.","contributorId":348163,"corporation":false,"usgs":false,"family":"de Lange","given":"E.","affiliations":[{"id":83306,"text":"Wildlife Conservation Society Cambodia Program","active":true,"usgs":false}],"preferred":false,"id":923042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ettinger, J.","contributorId":348165,"corporation":false,"usgs":false,"family":"Ettinger","given":"J.","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":923043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Selinske, M.","contributorId":348168,"corporation":false,"usgs":false,"family":"Selinske","given":"M.","affiliations":[{"id":37109,"text":"RMIT University","active":true,"usgs":false}],"preferred":false,"id":923044,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Megan Siobhan 0000-0002-4284-3650","orcid":"https://orcid.org/0000-0002-4284-3650","contributorId":294651,"corporation":false,"usgs":true,"family":"Jones","given":"Megan","email":"","middleInitial":"Siobhan","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":923045,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70260936,"text":"70260936 - 2024 - Migratory strategies across an ecological barrier: Is the answer blowing in the wind?","interactions":[],"lastModifiedDate":"2024-11-15T15:08:35.798316","indexId":"70260936","displayToPublicDate":"2024-10-14T07:54:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Migratory strategies across an ecological barrier: Is the answer blowing in the wind?","docAbstract":"<p>Background: Ecological barriers can shape the movement strategies of migratory animals that navigate around or across them, creating migratory divides. Wind plays a large role in facilitating aerial migrations, and can temporally or spatially change the challenge posed by an ecological barrier, with beneficial winds potentially converting a barrier to a corridor. Here, we explore the role wind plays in shaping initial southbound migration strategy between two populations departing from different locations along an ecological barrier. </p><p>Methods: Using GPS satellite transmitters, we tracked the southbound migration of two populations of Short-billed Dowitchers (<i>Limnodromus griseus caurinus</i>) from breeding grounds in Alaska to wintering sites in coastal Mexico. The breeding grounds were positioned in distinct regions along an ecological barrier, the Gulf of Alaska. Between the two populations, we compared migratory timing, wind availability at, and tailwind support en route across the Gulf of Alaska. </p><p>Results: Route choice and arrival timing to wintering sites differed markedly between the two populations: individuals departing from the more westerly site (King Salmon) left at the same time as those from further east (Beluga) but crossed the Gulf of Alaska farther west and arrived along the Pacific coast of Mexico an average of 19 days earlier than their counterparts. Dowitchers from both sites used a slight tailwind to cue departure, but once aloft over the Gulf of Alaska, birds from the more westerly site had up to ten times more tailwind assistance than birds from the more easterly one. </p><p>Conclusions: The distinct migration strategies, and degree of wind assistance experienced, of these two populations demonstrates how differences in wind availability along migratory routes may form the basis for intraspecific variation in migration strategies with potential carryover effects. Future changes in wind regimes may therefore interact with changes in habitat availability to influence migration patterns and migratory bird conservation.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-024-00509-2","usgsCitation":"Bathrick, R.E., Johnson, J.A., Ruthrauff, D.R., Snyder, R., Stager, M., and Senner, N.R., 2024, Migratory strategies across an ecological barrier: Is the answer blowing in the wind?: Movement Ecology, v. 12, no. 1, e70, 15 p., https://doi.org/10.1186/s40462-024-00509-2.","productDescription":"e70, 15 p.","ipdsId":"IP-160741","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466850,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-024-00509-2","text":"Publisher Index Page"},{"id":464123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -165.95960564872016,\n              59.55615778068645\n            ],\n            [\n              -165.95960564872016,\n              55.99945856187486\n            ],\n            [\n              -136.85750784523026,\n              55.99945856187486\n            ],\n            [\n              -136.85750784523026,\n              59.55615778068645\n            ],\n            [\n              -165.95960564872016,\n              59.55615778068645\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Bathrick, Rosalyn E.","contributorId":346300,"corporation":false,"usgs":false,"family":"Bathrick","given":"Rosalyn","email":"","middleInitial":"E.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":918618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, James A. 0000-0002-2312-0633","orcid":"https://orcid.org/0000-0002-2312-0633","contributorId":299054,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":918619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":918620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, Rebekah","contributorId":346301,"corporation":false,"usgs":false,"family":"Snyder","given":"Rebekah","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":918621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stager, Maria","contributorId":346302,"corporation":false,"usgs":false,"family":"Stager","given":"Maria","email":"","affiliations":[{"id":82825,"text":"U Mass Amherst","active":true,"usgs":false}],"preferred":false,"id":918622,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Senner, Nathan R.","contributorId":140465,"corporation":false,"usgs":false,"family":"Senner","given":"Nathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":918623,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70259601,"text":"70259601 - 2024 - Climate futures for lizards and snakes in western North America may result in new species management issues","interactions":[],"lastModifiedDate":"2024-10-17T11:50:25.347223","indexId":"70259601","displayToPublicDate":"2024-10-13T06:49:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Climate futures for lizards and snakes in western North America may result in new species management issues","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>We assessed changes in fundamental climate-niche space for lizard and snake species in western North America under modeled climate scenarios to inform natural resource managers of possible shifts in species distributions. We generated eight distribution models for each of 130 snake and lizard species in western North America under six time-by-climate scenarios. We combined the highest-performing models per species into a single ensemble model for each scenario. Maps were generated from the ensemble models to depict climate-niche space for each species and scenario. Patterns of species richness based on climate suitability and niche shifts were calculated from the projections at the scale of the entire study area and individual states and provinces, from Canada to Mexico. Squamate species' climate-niche space for the recent-time climate scenario and published known ranges were highly correlated (<i>r</i> = 0.81). Overall, reptile climate-niche space was projected to move northward in the future. Sixty-eight percent of species were projected to expand their current climate-niche space rather than to shift, contract, or remain stable. Only 8.5% of species were projected to lose climate-niche space in the future, and these species primarily occurred in Mexico and the southwestern U.S. We found few species were projected to lose all suitable climate-niche space at the state or province level, although species were often predicted to occupy novel areas, such as at higher elevations. Most squamate species were projected to increase their climate-niche space in future climate scenarios. As climate niches move northward, species are predicted to cross administrative borders, resulting in novel conservation issues for local landowners and natural resource agencies. However, information on species dispersal abilities, landscape connectivity, biophysical tolerances, and habitat suitability is needed to contextualize predictions relative to realized future niche expansions.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70379","usgsCitation":"Pilliod, D., Jeffries, M.I., Arkle, R., and Olson, D., 2024, Climate futures for lizards and snakes in western North America may result in new species management issues: Ecology and Evolution, v. 14, no. 10, e70379, 23 p., https://doi.org/10.1002/ece3.70379.","productDescription":"e70379, 23 p.","ipdsId":"IP-162916","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":466851,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70379","text":"Publisher Index Page"},{"id":462932,"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              -127.47583135518329,\n              49.89735710639084\n            ],\n            [\n              -127.47583135518329,\n              29.385857969097202\n            ],\n            [\n              -101.46020635518337,\n              29.385857969097202\n            ],\n            [\n              -101.46020635518337,\n              49.89735710639084\n            ],\n            [\n              -127.47583135518329,\n              49.89735710639084\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":915893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jeffries, Michelle I. 0000-0003-1146-1331","orcid":"https://orcid.org/0000-0003-1146-1331","contributorId":202734,"corporation":false,"usgs":true,"family":"Jeffries","given":"Michelle","middleInitial":"I.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":915894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, Robert 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":218013,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":915895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olson, Deanna H.","contributorId":338541,"corporation":false,"usgs":false,"family":"Olson","given":"Deanna H.","affiliations":[{"id":81141,"text":"US Department of Agriculture, Forest Service, Pacific Northwest Research Station, Corvallis, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":915896,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70259638,"text":"70259638 - 2024 - Propagating observation errors to enable scalable and rigorous enumeration of plant population abundance with aerial imagery","interactions":[],"lastModifiedDate":"2024-11-22T16:15:26.154408","indexId":"70259638","displayToPublicDate":"2024-10-13T06:30:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Propagating observation errors to enable scalable and rigorous enumeration of plant population abundance with aerial imagery","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li>Estimating and monitoring plant population size is fundamental for ecological research, as well as conservation and restoration programs. High-resolution imagery has potential to facilitate such estimation and monitoring. However, remotely sensed estimates typically have higher uncertainty than field measurements, risking biased inference on population status.</li><li>We present a model that accounts for false negative (missed plants) and false positive (misclassified or double-counted plants) error in counts from high-resolution imagery via integration with ground data. We apply it to estimate the abundance of a foundational shrub species in post-wildfire landscapes in the western United States. In these landscapes, plant recruitment is crucial for ecological recovery but locally patchy, motivating the use of spatially extensive measurements from unoccupied aerial systems (UAS). Integrating &gt;16 ha of UAS imagery with &gt;700 georeferenced field plots, we fit our model to generate insights into the prevalence and drivers of observation errors associated with classification algorithms used to distinguish individual plants, relationships between abundance and landscape context, and to generate spatially explicit maps of shrub abundance.</li><li>Raw counts of plant abundance in high-resolution imagery resulted in substantial false negative and false positive observation errors. The probability of detecting (<i>p</i>) adult plants (≥0.25 m tall) varied between sites within 0.52 &lt; p̂adult &lt; 0.82, whereas the detection of smaller plants (&lt;0.25 m) was lower, 0.03 &lt; p̂small &lt; 0.3. On average, we estimate that 19% of all detected plants were false positive errors, which varied spatially in relation to topographic predictors. Abundance declined toward the interior of previous wildfires and was positively associated with terrain roughness.</li><li>Our study demonstrates that integrated models accounting for imperfect detection improve estimates of plant population abundance derived from inherently imperfect UAS imagery. We believe such models will further improve inference on plant population dynamics—relevant to restoration, wildlife habitat and related objectives—and echo previous calls for remote sensing applications to better differentiate between ecological and observational processes.</li></ol></div></div>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14421","usgsCitation":"Zaiats, A., Caughlin, T., Cruz, J., Pilliod, D., Cattau, M.E., Liu, R., Rachman, R., Maliha, M., Delparte, D.M., and Clare, J.D., 2024, Propagating observation errors to enable scalable and rigorous enumeration of plant population abundance with aerial imagery: Methods in Ecology and Evolution, v. 15, no. 11, p. 2074-2086, https://doi.org/10.1111/2041-210X.14421.","productDescription":"13 p.","startPage":"2074","endPage":"2086","ipdsId":"IP-163599","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":466852,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14421","text":"Publisher Index Page"},{"id":463057,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Zaiats, Andrii 0000-0001-8978-4152","orcid":"https://orcid.org/0000-0001-8978-4152","contributorId":257072,"corporation":false,"usgs":false,"family":"Zaiats","given":"Andrii","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":916094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caughlin, Trevor 0000-0001-6752-2055","orcid":"https://orcid.org/0000-0001-6752-2055","contributorId":256964,"corporation":false,"usgs":false,"family":"Caughlin","given":"Trevor","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":916095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cruz, Jennyffer","contributorId":202194,"corporation":false,"usgs":false,"family":"Cruz","given":"Jennyffer","email":"","affiliations":[{"id":36365,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin – Madison","active":true,"usgs":false}],"preferred":false,"id":916096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":916097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cattau, Megan E 0000-0003-2164-3809","orcid":"https://orcid.org/0000-0003-2164-3809","contributorId":295715,"corporation":false,"usgs":false,"family":"Cattau","given":"Megan","email":"","middleInitial":"E","affiliations":[{"id":63922,"text":"Department of Human-Environment Systems, Boise State University","active":true,"usgs":false}],"preferred":false,"id":916098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Rongsong","contributorId":43480,"corporation":false,"usgs":false,"family":"Liu","given":"Rongsong","email":"","affiliations":[],"preferred":false,"id":916099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rachman, Richard","contributorId":345229,"corporation":false,"usgs":false,"family":"Rachman","given":"Richard","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":916100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Maliha, Maisha","contributorId":345231,"corporation":false,"usgs":false,"family":"Maliha","given":"Maisha","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":916101,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Delparte, Donna M. 0000-0002-9107-5117","orcid":"https://orcid.org/0000-0002-9107-5117","contributorId":317762,"corporation":false,"usgs":false,"family":"Delparte","given":"Donna","email":"","middleInitial":"M.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":916102,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clare, John DF","contributorId":345235,"corporation":false,"usgs":false,"family":"Clare","given":"John","email":"","middleInitial":"DF","affiliations":[{"id":82529,"text":"Boise State University, University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":916103,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70266208,"text":"70266208 - 2024 - Accounting for multiple uncertainties in a decision-support population viability assessment","interactions":[],"lastModifiedDate":"2025-04-30T16:13:01.203155","indexId":"70266208","displayToPublicDate":"2024-10-13T00:00:00","publicationYear":"2024","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":"Accounting for multiple uncertainties in a decision-support population viability assessment","docAbstract":"Conservation and management decisions often must be made on strict timelines, based on the “best available information” regarding a species’ current and expected future status. Simulation models are valuable tools for predicting a species’ future status but must incorporate multiple types of uncertainty in order to provide a complete understanding of plausible outcomes. Here we present a population viability analysis for a data-deficient species proposed for protection under the U.S. Endangered Species Act, the alligator snapping turtle. We used a matrix population model to simulate population trajectories, incorporating both parametric uncertainty and temporal variation into demographic parameters. We used expert elicitation to generate modified survival rates in the presence of specific anthropogenic threats, for which empirical estimates were unavailable. Because uncertainty in the expert elicited values was of particular interest to decision makers, we constructed a set of simulation scenarios to evaluate the sensitivity of model conclusions to the accuracy of expert elicited parameters. Our model predicted steep population declines under all scenarios with anthropogenic threats, indicating that under- or overestimation by experts would not change the overall conclusion that populations would decline. An additional sensitivity analysis revealed that a parameter related to nest survival for which there was high disagreement among experts had a negligible effect on model outcome, while other parameters (e.g., the effect of poaching) had more influence. Our analyses demonstrate the use of an expert-parameterized decision-support population viability analysis that explicitly evaluates the effects of multiple sources of uncertainty on model predictions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110811","usgsCitation":"Christensen, E., Lawson, A.J., Rivenbark, E., London, P., Castellanos, D., Culbertson, J., DeMay, S., Eakin, C., Pearson, L., Soileau, K., Waddle, J.H., and McGowan, C., 2024, Accounting for multiple uncertainties in a decision-support population viability assessment: Biological Conservation, v. 299, 110811, 9 p., https://doi.org/10.1016/j.biocon.2024.110811.","productDescription":"110811, 9 p.","ipdsId":"IP-166532","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":496363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2024.110811","text":"Publisher Index 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