{"pageNumber":"10","pageRowStart":"225","pageSize":"25","recordCount":10449,"records":[{"id":70265955,"text":"70265955 - 2025 - Land-use and socioeconomic time-series reveal legacy of redlining on present-day gentrification within a growing United States city","interactions":[],"lastModifiedDate":"2025-04-22T16:39:32.872029","indexId":"70265955","displayToPublicDate":"2025-03-03T11:35:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Land-use and socioeconomic time-series reveal legacy of redlining on present-day gentrification within a growing United States city","docAbstract":"<p><span>Home Owners’ Loan Corporation (HOLC) maps illustrated patterns of segregation in United States cites in the 1930s. As the causes and drivers of demographic and land-use segregation vary over years, these maps provide an important spatial lens in determining how patterns of segregation spatially and temporally developed during the past century. Using a high-resolution land-use time series (1937-2018) of Denver, Colorado, USA, in conjunction with 80 years of U.S. Census data, we found divergent land-use and demographics patterns across HOLC categories were both pre-existent to the establishment of HOLC mapping and continued to develop over time. Over this period, areas deemed “declining” or “hazardous” had more diverse land use compared to “desirable” areas. “Desirable” areas were dominated by one land-use type (single-family residential), while single-family residential diminished in prominence in the “declining/hazardous” areas. This divergence became more established decades after HOLC mapping, with impact to racial metrics and low-income households. We found changes in these demographic patterns also occurred between 2000 and 2019, highlighting how processes like gentrification can develop from both rapid demographic and land-use changes. This study demonstrates how the legacy of urban segregation develops over decades and can simultaneously persist in some neighborhoods while providing openings for fast-paced gentrification in others.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0317988","usgsCitation":"Ibsen, P.C., Bierbrauer, A., Corro, L.M., Ancona, Z.H., Drummond, M., Bagstad, K.J., and Diffendorfer, J., 2025, Land-use and socioeconomic time-series reveal legacy of redlining on present-day gentrification within a growing United States city: PLoS ONE, v. 20, no. 3, e0317988, 21 p., https://doi.org/10.1371/journal.pone.0317988.","productDescription":"e0317988, 21 p.","ipdsId":"IP-150825","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":488485,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0317988","text":"Publisher Index Page"},{"id":484846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Denver","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.24205378950955,\n              40.013754705471314\n            ],\n            [\n              -105.24205378950955,\n              39.48193862459914\n            ],\n            [\n              -104.69002801650613,\n              39.48193862459914\n            ],\n            [\n              -104.69002801650613,\n              40.013754705471314\n            ],\n            [\n              -105.24205378950955,\n              40.013754705471314\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":934150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bierbrauer, Anna","contributorId":353579,"corporation":false,"usgs":false,"family":"Bierbrauer","given":"Anna","affiliations":[{"id":84440,"text":"University of Wisconsin Madison, Department of Planning and Architecture","active":true,"usgs":false}],"preferred":false,"id":934151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corro, Lucila Marie 0000-0001-5718-6713","orcid":"https://orcid.org/0000-0001-5718-6713","contributorId":335192,"corporation":false,"usgs":true,"family":"Corro","given":"Lucila","email":"","middleInitial":"Marie","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":934152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ancona, Zachary H. 0000-0001-5430-0218 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":934153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drummond, Mark","contributorId":335191,"corporation":false,"usgs":false,"family":"Drummond","given":"Mark","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":934154,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":934155,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diffendorfer, 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":934156,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70266033,"text":"70266033 - 2025 - Effect of copper mill waste material on benthic invertebrates and zooplankton diversity and abundance","interactions":[],"lastModifiedDate":"2025-04-24T15:34:31.554972","indexId":"70266033","displayToPublicDate":"2025-03-03T08:28:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Effect of copper mill waste material on benthic invertebrates and zooplankton diversity and abundance","docAbstract":"Copper (Cu) stamp mill mining in North America from the early 1900s produced a pulverized ore by-product now known as stamp sands (SS). In a mining operation near the city of Gay (Michigan, USA), SS were originally deposited near a Lake Superior beach, but erosion and wave action have moved many SS into beaches and reefs that are critical spawning and nursery areas for native fish (e.g., Lake Whitefish). Larval and juvenile native fish consume zooplankton and benthic invertebrates during their development, and many of these invertebrate taxa may be sensitive to metal contamination from the SS. Here, we sampled the invertebrate community from beaches with high SS, moderate SS and low SS, as well as a control beach 58 km from the source of the SS. The high SS site was characterized by fewer benthic taxa, and less density of several taxa than the low SS site, especially benthic copepods. All beaches had comparable zooplankton diversity, but the abundance was ~ 2 orders of magnitude lower at the high SS site. Cu and several other metals were elevated at beaches with more SS. We found support for associations between benthic density and diversity with depth (positive effect) and Cu concentration (negative effect). Cu concentration was a better predictor of declines in benthic invertebrate abundance and diversity than SS although sensitivity to Cu varied among taxa. We also observed that the relationship between Cu concentration and SS was non-linear, and highly variable. For example, 149 mg Cu/kg dry weight sediment is a consensus threshold used in the literature to identify Cu toxicity, but the prediction interval for estimating that concentration of Cu from measurements of SS is 26-851 mg Cu/kg dry weight. A better predictive model of this relationship would be beneficial to develop an understanding of what level of SS reduction would prevent Cu impacts on invertebrates.","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0318980","usgsCitation":"Larson, J.H., Lowe, M.R., Bailey, S., Bell, A.H., and Cleveland, D.M., 2025, Effect of copper mill waste material on benthic invertebrates and zooplankton diversity and abundance: PLoS ONE, v. 20, no. 3, e0318980, 27 p., https://doi.org/10.1371/journal.pone.0318980.","productDescription":"e0318980, 27 p.","ipdsId":"IP-159260","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":487903,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0318980","text":"Publisher Index Page"},{"id":484986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Keweenaw Bay, Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.51454370384035,\n              46.89135600920267\n            ],\n            [\n              -88.51454370384035,\n              46.7436589844292\n            ],\n            [\n              -88.37255101673634,\n              46.7436589844292\n            ],\n            [\n              -88.37255101673634,\n              46.89135600920267\n            ],\n            [\n              -88.51454370384035,\n              46.89135600920267\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":934422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Michael R. 0000-0002-4645-9429","orcid":"https://orcid.org/0000-0002-4645-9429","contributorId":10539,"corporation":false,"usgs":true,"family":"Lowe","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":934423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":934424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bell, Amanda H. 0000-0002-7199-2145 ahbell@usgs.gov","orcid":"https://orcid.org/0000-0002-7199-2145","contributorId":1752,"corporation":false,"usgs":true,"family":"Bell","given":"Amanda","email":"ahbell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":934426,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261952,"text":"70261952 - 2025 - Mercury speciation and stable isotopes in emperor penguins: First evidence for biochemical demethylation of methylmercury to mercury-dithiolate and mercury-tetraselenolate complexes","interactions":[],"lastModifiedDate":"2025-01-06T15:30:53.822942","indexId":"70261952","displayToPublicDate":"2025-03-03T08:17:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Mercury speciation and stable isotopes in emperor penguins: First evidence for biochemical demethylation of methylmercury to mercury-dithiolate and mercury-tetraselenolate complexes","docAbstract":"<p>Apex marine predators, such as toothed whales and large petrels and albatrosses, ingest mercury (Hg) primarily in the form of methylmercury (MeHg) via prey consumption, which they detoxify as tiemannite (HgSe). One of the most intriguing current questions in Hg research is how more abundant lower trophic level predators detoxify MeHg, particularly in marine environments where tissue Hg burdens can be elevated. To address this need, we used high energy-resolution X-ray absorption near edge structure spectroscopy paired with nitrogen (N) and Hg stable isotopes to identify the chemical forms of Hg, Hg source, and species-specific δ<sup>202</sup>Hg isotopic values in emperor penguin, a mesopredator feeding primarily on Antarctic silverfish. The penguin liver contains variable proportions of MeHg and two inorganic Hg species (IHg), Hg-dithiolate (Hg(SR)<sub>2</sub>) and Hg-tetraselenolate (Hg(Sec)<sub>4</sub>) complexes, each characterized by a specific isotopic value (δ<sup>202</sup>MeHg = 0.3 ± 0.2‰, δ<sup>202</sup>Hg(SR)<sub>2</sub> = −1.6 ± 0.2‰, δ<sup>202</sup>Hg(Sec)<sub>4</sub> = −2.0 ± 0.1‰). Using δ<sup>15</sup>N as tracer of food source, we show that Hg(SR)<sub>2</sub> is not dietary but a biochemical demethylation product of MeHg metabolism. Penguin females transfer Hg to the egg as MeHg in the egg albumen, 89% MeHg and 11% IHg in the membrane, and 32% MeHg and 68% Hg(Sec)<sub>4</sub> in the yolk, on average (n = 15). Despite IHg species in eggs, MeHg is the main species quantitatively transferred by the mother to the chick because of the disproportionate mass of the MeHg-rich albumen compared to the yolk (n = 18). Further research is needed to elucidate the MeHg to Hg(SR)<sub>2</sub> demethylation pathway firmly documented here for the first time in multicellular organisms, and to understand why the thiolate ligands are not exchanged for Se ligands to form Hg(Sec)<sub>4</sub>, as the liver does not suffer from Se deficiency.</p>","language":"English","publisher":"Elesvier","doi":"10.1016/j.jhazmat.2024.136499","usgsCitation":"Manceau, A., Bustamante, P., Richy, E., Cherel, Y., Janssen, S., Glatzel, P., and Poulin, B., 2025, Mercury speciation and stable isotopes in emperor penguins: First evidence for biochemical demethylation of methylmercury to mercury-dithiolate and mercury-tetraselenolate complexes: Journal of Hazardous Materials, v. 485, 136499, 11 p., https://doi.org/10.1016/j.jhazmat.2024.136499.","productDescription":"136499, 11 p.","ipdsId":"IP-171780","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":489879,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhazmat.2024.136499","text":"Publisher Index Page"},{"id":465672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Antartica","otherGeospatial":"Adelie Land","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              142.82931740033433,\n              -66.16249522386957\n            ],\n            [\n              142.82931740033433,\n              -71.51568930876502\n            ],\n            [\n              172.43330802520745,\n              -71.51568930876502\n            ],\n            [\n              172.43330802520745,\n              -66.16249522386957\n            ],\n            [\n              142.82931740033433,\n              -66.16249522386957\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"485","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Manceau, Alain 0000-0003-0845-611X","orcid":"https://orcid.org/0000-0003-0845-611X","contributorId":194255,"corporation":false,"usgs":false,"family":"Manceau","given":"Alain","email":"","affiliations":[],"preferred":false,"id":922389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bustamante, Paco","contributorId":201551,"corporation":false,"usgs":false,"family":"Bustamante","given":"Paco","email":"","affiliations":[{"id":36199,"text":"La Rochelle University","active":true,"usgs":false}],"preferred":false,"id":922390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richy, Etienne","contributorId":347762,"corporation":false,"usgs":false,"family":"Richy","given":"Etienne","affiliations":[{"id":83226,"text":"CNRS-La Rochelle Université","active":true,"usgs":false}],"preferred":false,"id":922391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherel, Yves 0000-0001-9469-9489","orcid":"https://orcid.org/0000-0001-9469-9489","contributorId":267388,"corporation":false,"usgs":false,"family":"Cherel","given":"Yves","email":"","affiliations":[{"id":55487,"text":"La Rochelle University, Villiers-en-Bois, France","active":true,"usgs":false}],"preferred":false,"id":922392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922393,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glatzel, Pieter 0000-0001-6532-8144","orcid":"https://orcid.org/0000-0001-6532-8144","contributorId":260892,"corporation":false,"usgs":false,"family":"Glatzel","given":"Pieter","email":"","affiliations":[{"id":52705,"text":"European Synchrotron Radiation Facility (ESRF), Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":922394,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulin, Brett A.","contributorId":328488,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":922395,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70263941,"text":"70263941 - 2025 - Characterizing pyrethroid and fipronil concentrations in biosolids","interactions":[],"lastModifiedDate":"2025-03-03T15:06:16.51444","indexId":"70263941","displayToPublicDate":"2025-02-28T09:03:11","publicationYear":"2025","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":"Characterizing pyrethroid and fipronil concentrations in biosolids","docAbstract":"<p><span>Pesticides are prevalent in wastewater, yet few studies have measured pesticides in biosolids and aqueous media from samples collected concurrently. Seventeen California wastewater treatment plants (WWTPs) were sampled in May 2020. Biosolids samples were analyzed for 27 analytes, and paired aqueous samples (influent and effluent) were analyzed for 23 analytes. Analytes included fipronil and its transformation products (fiproles), pyrethroids, novaluron, and several other pesticides with down-the-drain transport potential. Of the 27 compounds analyzed in biosolids samples, 16 were detected in at least one sample, and 10 had a detection frequency (DF) of at least 25&nbsp;%. Fipronil sulfone, fipronil sulfide, and fipronil were the most frequently detected fiproles (DF&nbsp;=&nbsp;100&nbsp;%, 94&nbsp;%, and 67&nbsp;%, respectively); permethrin was the most frequently detected pyrethroid (DF&nbsp;=&nbsp;100&nbsp;%), followed by bifenthrin (DF&nbsp;=&nbsp;94&nbsp;%), cyhalothrin (DF&nbsp;=&nbsp;89&nbsp;%), and etofenprox (DF&nbsp;=&nbsp;78&nbsp;%). To elucidate fipronil transformation pathways within the treatment system, data from the three sample types were compared; findings were generally consistent with transformation pathways reported previously (e.g., some fiproles were rarely detected in influent or biosolids, but frequently detected in effluent, indicating their formation during the treatment process). No correlations were found between WWTP characteristics and pesticide concentrations in biosolids. The fraction of organic carbon (</span><i>f</i><sub><i>OC</i></sub><span>) of each biosolids sample was measured, and a statistically significant negative correlation was observed between&nbsp;</span><i>f</i><sub><i>OC</i></sub><span>&nbsp;and some fiproles, but not fipronil; possible explanations are discussed. Additional analysis for two major agricultural pesticides (bifenthrin and permethrin) indicated that estimated mass loads of these pesticides in biosolids applied to land as a soil amendment are minimal (approximately 2 to 3 orders of magnitude lower) compared to inputs from agricultural applications. This study provides insight on the magnitude of pesticides entering the environment via land-applied biosolids; existing regulations surrounding agricultural pesticide applications are expected to also be protective of the relatively low inputs from biosolids.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.178954","usgsCitation":"Wheeler, J., Black, G.P., Hladik, M.L., Sanders, C., Teerlink, J., Wong, L., Zhang, X., Budd, R., and Young, T.M., 2025, Characterizing pyrethroid and fipronil concentrations in biosolids: Science of the Total Environment, v. 969, 178954, 11 p., https://doi.org/10.1016/j.scitotenv.2025.178954.","productDescription":"178954, 11 p.","ipdsId":"IP-171403","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":489969,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.178954","text":"Publisher Index Page"},{"id":482735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"969","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wheeler, John","contributorId":351645,"corporation":false,"usgs":false,"family":"Wheeler","given":"John","affiliations":[{"id":40320,"text":"California Department of Pesticide Regulation","active":true,"usgs":false}],"preferred":false,"id":929202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Black, Gabrielle Pecora 0000-0002-1578-742X","orcid":"https://orcid.org/0000-0002-1578-742X","contributorId":303108,"corporation":false,"usgs":true,"family":"Black","given":"Gabrielle","email":"","middleInitial":"Pecora","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanders, Corey 0000-0001-7743-6396","orcid":"https://orcid.org/0000-0001-7743-6396","contributorId":204711,"corporation":false,"usgs":true,"family":"Sanders","given":"Corey","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teerlink, Jennifer","contributorId":297910,"corporation":false,"usgs":false,"family":"Teerlink","given":"Jennifer","email":"","affiliations":[{"id":40320,"text":"California Department of Pesticide Regulation","active":true,"usgs":false}],"preferred":false,"id":929206,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wong, Luann","contributorId":313578,"corporation":false,"usgs":false,"family":"Wong","given":"Luann","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":929207,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Xuyang","contributorId":351647,"corporation":false,"usgs":false,"family":"Zhang","given":"Xuyang","affiliations":[{"id":40320,"text":"California Department of Pesticide Regulation","active":true,"usgs":false}],"preferred":false,"id":929208,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Budd, Robert","contributorId":351742,"corporation":false,"usgs":false,"family":"Budd","given":"Robert","affiliations":[],"preferred":false,"id":929209,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Young, Thomas M","contributorId":221103,"corporation":false,"usgs":false,"family":"Young","given":"Thomas","email":"","middleInitial":"M","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":929210,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70274270,"text":"70274270 - 2025 - Geochemical assessment of the suitability of converting a coal-fired power plant reservoir to a drinking-water reservoir","interactions":[],"lastModifiedDate":"2026-03-24T15:18:57.855959","indexId":"70274270","displayToPublicDate":"2025-02-26T10:14:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical assessment of the suitability of converting a coal-fired power plant reservoir to a drinking-water reservoir","docAbstract":"<p><span>There is an increasing need for additional water storage in the United States, especially in arid regions. Alternatives like decommissioned power plant raw-water reservoirs would be cheaper to use than creating new reservoirs; however, the biogeochemical pollution risk of these reservoirs is not well understood. The San Juan Generating Station power plant and the associated reservoir will be used as a sediment-settling basin to store drinking water. To evaluate whether the reservoir is appropriate for this use, inorganic and organic constituents of concern were measured in reservoir sediment cores, pore water, and reservoir water in 2020. Forty-six percent of sediment arsenic concentrations measured in core subsamples (8 to 12 mg/kg) were slightly above the New Mexico residential cancer threshold for soil of 7.07 mg/kg. One sediment sample contained elevated total barium concentrations (6020 mg/kg). The organic compounds analyzed were either below detection limits or below regulatory thresholds. Reservoir water had one sample with arsenic greater than the drinking water standard (10 µg/L). Overall, the reservoir sediment inorganic and organic analyte concentrations are within acceptable ranges. The few samples that have elevated concentrations are not of a sufficient magnitude that dilution and/or treatment processes would preclude the use of the reservoir for water storage. Our findings show potential for use of former coal power station raw-water reservoirs as drinking-water reservoirs after plant closure.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2025.2452543","usgsCitation":"Blake, J., Ferguson, C.L., Brown, J., and Mixon, R., 2025, Geochemical assessment of the suitability of converting a coal-fired power plant reservoir to a drinking-water reservoir: Lake and Reservoir Management, v. 41, no. 1, p. 41-58, https://doi.org/10.1080/10402381.2025.2452543.","productDescription":"18 p.","startPage":"41","endPage":"58","ipdsId":"IP-149906","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":501452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"San Juan River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109,\n              37\n            ],\n            [\n              -109,\n              36.5\n            ],\n            [\n              -107.5,\n              36.5\n            ],\n            [\n              -107.5,\n              37\n            ],\n            [\n              -109,\n              37\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferguson, Christina L. 0000-0003-3368-0770","orcid":"https://orcid.org/0000-0003-3368-0770","contributorId":225087,"corporation":false,"usgs":true,"family":"Ferguson","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Jeb E. 0000-0001-7671-2379","orcid":"https://orcid.org/0000-0001-7671-2379","contributorId":225088,"corporation":false,"usgs":true,"family":"Brown","given":"Jeb E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mixon, Rachel Lynn 0000-0001-9863-6784","orcid":"https://orcid.org/0000-0001-9863-6784","contributorId":328595,"corporation":false,"usgs":true,"family":"Mixon","given":"Rachel Lynn","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957495,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266263,"text":"70266263 - 2025 - When the wild things are: Defining mammalian diel activity and plasticity","interactions":[],"lastModifiedDate":"2025-05-05T17:01:22.120034","indexId":"70266263","displayToPublicDate":"2025-02-26T09:51:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"When the wild things are: Defining mammalian diel activity and plasticity","docAbstract":"<p><span>Circadian rhythms are a mechanism by which species adapt to environmental variability and fundamental to understanding species behavior. However, we lack data and a standardized framework to accurately assess and compare temporal activity for species during rapid ecological change. Through a global network representing 38 countries, we leveraged 8.9 million mammalian observations to create a library of 14,587 standardized diel activity estimates for 445 species. We found that less than half the species’ estimates were in agreement with diel classifications from the reference literature and that species commonly used more than one diel classification. Species diel activity was highly plastic when exposed to anthropogenic change. Furthermore, body size and distributional extent were strongly associated with whether a species is diurnal or nocturnal. Our findings provide essential knowledge of species behavior in an era of rapid global change and suggest the need for a new, quantitative framework that defines diel activity logically and consistently while capturing species plasticity.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.ado3843","usgsCitation":"Devarajan, K., Fidino, M., Farris, Z.J., Adalsteinsson, S., Andrade-Ponce, G., Angstmann, J., Anthonysamy, W., Aquino, J., Asefa, A., Avila, B., Bailey, L., Barbosa, L., Barreto, M., Barton, O., Bates, C., Beltrão, M., Bird, T., Biro, E., Bisi, F., Bohórquez, D., Boyce, M.S., Brashares, J., Bullington, G., Burns, P., Burr, J., Butler, A.R., Calhoun, K.L., Cao, T., Casado, N., Cepeda-Duque, J., Cepek, J., Chiarello, A., Collins, M., Cordeiro-Estrela, P., Costa, S., Cremonesi, G., Cristescu, B., Cruz, P., Albuquerque, A., De Angelo, C., De Campos, C., De Sena, L., Di Bitetti, M., Dias, D., Diefenbach, D.R., 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A., Thapa, K., Thorton, M., Tilker, A., Tobler, M., Tran, V., Tucker, J., Van Horn, R.C., Vargas-Soto, J., Velásquez, K., Venter, J., Venticinque, E., Verschueren, S., Wampole, E., Watchorn, D., Wearn, O.R., Weiss, K., Welschen, A., Widodo, F., Williamson, J., Wilting, A., Wittemyer, G., Zavaleta, A., Zellmer, A., and Gerber, B., 2025, When the wild things are: Defining mammalian diel activity and plasticity: Science Advances, v. 11, no. 9, eado3843, 15 p., https://doi.org/10.1126/sciadv.ado3843.","productDescription":"eado3843, 15 p.","ipdsId":"IP-160515","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487955,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.ado3843","text":"Publisher Index 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,{"id":70263938,"text":"70263938 - 2025 - lasertram: A Python library for time resolved analysis of laser ablation inductively coupled plasma mass spectrometry data","interactions":[],"lastModifiedDate":"2025-03-11T15:25:06.047162","indexId":"70263938","displayToPublicDate":"2025-02-25T07:46:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14424,"text":"Applied Computing and Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"lasertram: A Python library for time resolved analysis of laser ablation inductively coupled plasma mass spectrometry data","docAbstract":"<p><span>Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) data has a wide variety of uses in the geosciences for in-situ chemical analysis of complex natural materials. Improvements to instrument capabilities and operating software have drastically reduced the time required to generate large volumes of data relative to previous methodologies. Raw data from LA-ICP-MS, however, is in counts per unit time (typically counts per second), not elemental concentrations and converting these count ratesto concentrations requires additional processing. For complex materials where the ablated volume may contain a range of material compositions, a moderate amount of user input is also required if appropriate concentrations are to be accurately calculated. In geologic materials such as glasses and minerals that potentially have numerous heterogeneities (e.g., microlites or other inclusions) within them, this is typically determiningwhether the total ablation signal should be filtered to remove these heterogeneities. This necessitates that the LA-ICP-MS data processing pipeline is one that is not automated, but is also designed to enable rapid and efficient processing of large volumes of data.</span></p><p><span>Here we introduce&nbsp;<img src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2590197425000072-fx1001.jpg\" alt=\"\" height=\"14\" data-mce-src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2590197425000072-fx1001.jpg\">&nbsp;, a Python library for the time resolved analysis of LA-ICP-MS data. We outline its mathematical theory, code structure, and provide an example of how it can be used to provide the time resolved analysis necessitated by LA-ICP-MS data of complex geologic materials. Throughout the&nbsp;<img src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2590197425000072-fx1002.jpg\" alt=\"\" height=\"14\" data-mce-src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2590197425000072-fx1002.jpg\">&nbsp;pipeline we show how metadata and data are incrementally added to the objects created such that virtually any aspect of an experiment may be interrogated and its quality assessed. We also show, that when combined with other Python libraries for building graphical user interfaces, it can be utilized outside of a pure scripting environment.&nbsp;<img src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2590197425000072-fx1003.jpg\" alt=\"\" height=\"14\" data-mce-src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2590197425000072-fx1003.jpg\">&nbsp;can be found at&nbsp;<a class=\"anchor anchor-primary\" rel=\"noopener\" href=\"https://doi.org/10.5066/P1DZUR3Z\" target=\"_blank\" data-mce-href=\"https://doi.org/10.5066/P1DZUR3Z\"><span class=\"anchor-text-container\"><span class=\"anchor-text\">https://doi.org/10.5066/P1DZUR3Z</span></span></a></span></p>","language":"English","publisher":"Elseiver","doi":"10.1016/j.acags.2025.100225","usgsCitation":"Lubbers, J.E., Kent, A., and Russo, C., 2025, lasertram: A Python library for time resolved analysis of laser ablation inductively coupled plasma mass spectrometry data: Applied Computing and Geosciences, v. 25 p., 100225, 16 p., https://doi.org/10.1016/j.acags.2025.100225.","productDescription":"100225, 16 p.","ipdsId":"IP-168201","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488954,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.acags.2025.100225","text":"Publisher Index Page"},{"id":482732,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25 p.","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lubbers, Jordan Edward 0000-0002-3566-5091","orcid":"https://orcid.org/0000-0002-3566-5091","contributorId":330466,"corporation":false,"usgs":true,"family":"Lubbers","given":"Jordan","email":"","middleInitial":"Edward","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":929191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kent, Adam J.R.","contributorId":351642,"corporation":false,"usgs":false,"family":"Kent","given":"Adam J.R.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":929192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russo, Chris","contributorId":351643,"corporation":false,"usgs":false,"family":"Russo","given":"Chris","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":929193,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264699,"text":"70264699 - 2025 - Reviews and syntheses: Variable inundation across Earth's terrestrial ecosystems","interactions":[],"lastModifiedDate":"2025-03-20T14:50:08.933728","indexId":"70264699","displayToPublicDate":"2025-02-24T09:42:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Reviews and syntheses: Variable inundation across Earth's terrestrial ecosystems","docAbstract":"<p><span>The structure, function, and dynamics of Earth's terrestrial ecosystems are profoundly influenced by how often (frequency) and how long (duration) they are inundated with water. A diverse array of natural and human-engineered systems experience temporally variable inundation whereby they fluctuate between inundated and non-inundated states. Variable inundation spans extreme events to predictable sub-daily cycles. Variably inundated ecosystems (VIEs) include hillslopes, non-perennial streams, wetlands, floodplains, temporary ponds, tidal systems, storm-impacted coastal zones, and human-engineered systems. VIEs are diverse in terms of inundation regimes, water chemistry and flow velocity, soil and sediment properties, vegetation, and many other properties. The spatial and temporal scales of variable inundation are vast, ranging from sub-meter to whole landscapes and from sub-hourly to multi-decadal. The broad range of system types and scales makes it challenging to predict the hydrology, biogeochemistry, ecology, and physical evolution of VIEs. Despite all experiencing the loss and gain of an overlying water column, VIEs are rarely considered together in conceptual, theoretical, modeling, or measurement frameworks and approaches. Studying VIEs together has the potential to generate mechanistic understanding that is transferable across a much broader range of environmental conditions, relative to knowledge generated by studying any one VIE type. We postulate that enhanced transferability will be important for predicting changes in VIE function in response to global change. Here we aim to catalyze cross-VIE science that studies drivers and impacts of variable inundation across Earth's VIEs. To this end, we complement expert mini-reviews of eight major VIE systems with overviews of VIE-relevant methods and challenges associated with scale. We conclude with perspectives on how cross-VIE science can derive transferable understanding via unifying conceptual models in which the impacts of variable inundation are studied across multi-dimensional environmental space.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-22-995-2025","usgsCitation":"Stegen, J., Burgin, A.J., Busch, M., Fisher, J.B., Ladau, J., Abrahamson, J., Kinsman-Costello, L., Li, L., Chen, X., Datry, T., McDowell, N., Tatariw, C., Braswell, A., Deines, J.M., Guimond, J., Regier, P., Rod, K., Bam, E., Fluet-Chouinard, E., Forbrich, I., Jaeger, K.L., O'Meara, T., Scheibe, T.D., Seybold, E., Sweetman, J.N., Zheng, J., Allen, D.C., Herndon, E., Middleton, B., Painter, S., Roche, K., Scamardo, J., Vander Vorste, R., Boye, K., Wohl, E., Zimmer, M., Hondula, K., Laan, M., Marshall, A., and Patel, K., 2025, Reviews and syntheses: Variable inundation across Earth's terrestrial ecosystems: Biogeosciences, v. 22, no. 4, p. 995-1034, https://doi.org/10.5194/bg-22-995-2025.","productDescription":"30 p.","startPage":"995","endPage":"1034","ipdsId":"IP-159303","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488342,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-22-995-2025","text":"Publisher Index Page"},{"id":483581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Stegen, James","contributorId":242792,"corporation":false,"usgs":false,"family":"Stegen","given":"James","affiliations":[{"id":48525,"text":"Earth and Biological Sciences Division, Pacific Northwest National 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,{"id":70263944,"text":"70263944 - 2025 - Reservoir thermal energy storage pre-assessment for the United States","interactions":[],"lastModifiedDate":"2025-03-05T17:34:49.937548","indexId":"70263944","displayToPublicDate":"2025-02-22T08:33:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Reservoir thermal energy storage pre-assessment for the United States","docAbstract":"Storing thermal energy underground for later use in electricity production or direct-use heating/cooling is a promising, viable, and economical green energy option. Reservoir thermal energy storage (RTES) is one such option, which stores energy in underutilized permeable strata with low ambient groundwater flow rates and more geochemically evolved (e.g. brackish/saline) waters relative to overlying principal aquifer systems. The U.S. Geological Survey has begun assessing RTES potential nationally by focusing on five generalized geologic regions (Basin and Range, Coastal Plain, Illinois Basin, Michigan Basin, Pacific Northwest) across the United States. Hydrogeologic reservoir models are developed for the following eight metropolitan area cities within those regions to evaluate RTES performance across different climates and subsurface conditions: Albuquerque, New Mexico; Charleston, South Carolina; Chicago and Decatur, Illinois; Lansing, Michigan; Memphis, Tennessee; Phoenix, Arizona; and Portland, Oregon. Evaluated metrics include estimated required well spacing, thermal storage capacity, and thermal recovery efficiency through time. Also considered for each reservoir are potential complicating factors, including reservoir depth, thermally driven free convection, and groundwater salinity. This work focuses on direct-use cooling because the need for cooling modern office buildings greatly exceeds that for heating in most parts of the country (Falta and others, 2016); however, the evaluated metrics are also relevant to heating and electricity applications. Results indicate that favorable RTES conditions exist in each region, with the Coastal Plain and Basin and Range being especially favorable for thermal storage capacity, while the Pacific Northwest and Michigan Basin excel at energy recovery for the evaluated cooling application. The results underscore the utility of developing maps of thermal storage capacity, subsurface temperature models, and volumetric estimates of thermal storage capacity to serve as key RTES resource classification standards. Overall, this pre-assessment provides a basic understanding of RTES potential in several cities and geologic regions throughout the country and will aid ongoing thermal energy storage assessment efforts.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2025.103256","usgsCitation":"Pepin, J.D., Burns, E., Cahalan, R.C., Hayba, D.O., Dickinson, J.E., Duncan, L.L., and Kuniansky, E.L., 2025, Reservoir thermal energy storage pre-assessment for the United States: Geothermics, v. 129, 103256, 18 p., https://doi.org/10.1016/j.geothermics.2025.103256.","productDescription":"103256, 18 p.","ipdsId":"IP-160218","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":489977,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"www.osti.gov/servlets/purl/2522111","text":"Publisher Index 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0000-0002-5581-0225","orcid":"https://orcid.org/0000-0002-5581-0225","contributorId":214542,"corporation":false,"usgs":true,"family":"Kuniansky","given":"Eve","email":"","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":929217,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70267185,"text":"70267185 - 2025 - Centering voices of scientists from marginalized backgrounds to understand experiences in climate adaptation science and inform action","interactions":[],"lastModifiedDate":"2026-01-21T16:22:31.221126","indexId":"70267185","displayToPublicDate":"2025-02-21T10:55:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Centering voices of scientists from marginalized backgrounds to understand experiences in climate adaptation science and inform action","docAbstract":"<p><span>Identifying and building solutions to help people and ecosystems adapt to climate change requires participation of all people; however, Science, Technology, Engineering, and Mathematics (STEM) fields, including environmental sciences, continue to lack diversity. To address this issue, many institutions have increased programming to recruit and retain people from historically marginalized backgrounds in STEM fields. Institutions use surveys to evaluate the experiences of community members and identify areas for improvement; however, surveys often summarize and reflect majority perspectives and disregard voices of historically marginalized individuals. In June 2021, a survey of graduate students, postdocs, faculty, staff, and researchers affiliated with the Northeast Climate Adaptation Science Center (NE CASC) evaluated their experiences of diversity, equity, inclusion, and justice (DEIJ) using Likert-based and long-answer questions. We analyzed the results as a whole, but also focused on the responses of people who self-identified as members of a marginalized group (“marginalized respondents”) in climate adaptation science to center their voices. Marginalized respondents reported being motivated to enter climate adaptation science to improve society and the environment rather than for intellectual curiosity, which motivated one third of non-marginalized respondents. Once in science, marginalized respondents reported feeling less supported and comfortable at work and were more likely to have considered leaving science and academia in the last year. Long-answer responses of marginalized respondents indicated distrust in the ability of leadership and existing DEIJ initiatives to effectively tackle systemic issues and emphasized the importance of focusing on equity and inclusion before recruitment. Marginalized respondents identified additional funding to support existing DEIJ efforts and undergraduates as priorities. By allowing participants to self-identify as part of a marginalized group, we were able to highlight experiences and needs without risking exposure based on race, gender, disability status, or sexual orientation. This approach can be applied to other small organizations with limited demographic diversity.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0318438","usgsCitation":"Marjadi, M., Smith, R.A., Tu, H., Ajmani, A., Holland, A., Lopez, B., Morelli, T.L., and Bradley, B., 2025, Centering voices of scientists from marginalized backgrounds to understand experiences in climate adaptation science and inform action: PLoS ONE, v. 20, no. 2, e0318438, 25 p., https://doi.org/10.1371/journal.pone.0318438.","productDescription":"e0318438, 25 p.","ipdsId":"IP-169487","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":489020,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0318438","text":"Publisher Index Page"},{"id":486084,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Marjadi, Meghna N.","contributorId":317779,"corporation":false,"usgs":false,"family":"Marjadi","given":"Meghna N.","affiliations":[{"id":69149,"text":"Massachusetts Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":937176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Rebecca A.","contributorId":365351,"corporation":false,"usgs":false,"family":"Smith","given":"Rebecca","middleInitial":"A.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":false,"id":937177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tu, Hsin Fei","contributorId":355365,"corporation":false,"usgs":false,"family":"Tu","given":"Hsin Fei","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ajmani, Asha M.","contributorId":355366,"corporation":false,"usgs":false,"family":"Ajmani","given":"Asha M.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holland, Addie Rose","contributorId":355367,"corporation":false,"usgs":false,"family":"Holland","given":"Addie Rose","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lopez, Bianca E.","contributorId":355368,"corporation":false,"usgs":false,"family":"Lopez","given":"Bianca E.","affiliations":[{"id":56643,"text":"American Association for the Advancement of Science","active":true,"usgs":false}],"preferred":false,"id":937181,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":937182,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradley, Bethany A. 0000-0003-4912-4971","orcid":"https://orcid.org/0000-0003-4912-4971","contributorId":299998,"corporation":false,"usgs":true,"family":"Bradley","given":"Bethany A.","affiliations":[{"id":64995,"text":"University of Massachusetts, Northeast Climate Adaptation Science Center","active":true,"usgs":false}],"preferred":false,"id":937183,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70264271,"text":"70264271 - 2025 - Conservation translocation immediately reverses decline in imperiled sage-grouse populations","interactions":[],"lastModifiedDate":"2025-03-10T14:16:06.154979","indexId":"70264271","displayToPublicDate":"2025-02-20T09:09:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Conservation translocation immediately reverses decline in imperiled sage-grouse populations","docAbstract":"<p><span>Conservation translocation (hereafter translocation), the intentional movement of organisms from one location to another as a management tool, can be an extremely useful conservation action to increase the abundance of isolated populations following successful habitat restoration. However, managers seek to weigh the benefits against costs to the source population from which individuals are removed. Using two small and imperiled greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>; hereafter sage-grouse) populations, we demonstrated the usefulness of translocation as a conservation management tool and the value of evaluating the potential consequences of translocation action. Using integrated population models and a before-after-control-impact (BACI) design, we quantified the extent to which translocation influenced the finite rate of change (</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi is=&quot;true&quot;>&amp;#x3BB;</mi></math>\"><span class=\"MJX_Assistive_MathML\">λ</span></span></span><span>) of apparent abundance (</span><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi is=&quot;true&quot;>N</mi></math>\"><span class=\"MJX_Assistive_MathML\">N</span></span></span><span>) in both reinforced and source populations. We also assessed changes in underlying demographic rates in one population, allowing for identification of the specific mechanisms causing differences in population trends following translocation. In both reinforced populations,&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mover accent=&quot;true&quot; is=&quot;true&quot;><mi mathvariant=&quot;normal&quot; is=&quot;true&quot;>&amp;#x3BB;</mi><mo stretchy=&quot;true&quot; is=&quot;true&quot;>&amp;#x302;</mo></mover></math>\"><span class=\"MJX_Assistive_MathML\">λ̂</span></span></span><span>&nbsp;substantially increased following translocation. In the population for which we had sufficient demographic data, the increase in&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mover accent=&quot;true&quot; is=&quot;true&quot;><mi mathvariant=&quot;normal&quot; is=&quot;true&quot;>&amp;#x3BB;</mi><mo stretchy=&quot;true&quot; is=&quot;true&quot;>&amp;#x302;</mo></mover></math>\"><span class=\"MJX_Assistive_MathML\">λ̂</span></span></span><span>&nbsp;resulted from a 179&nbsp;% increase in egg hatchability following reinforcement. In one translocation, we did not observe adverse effects on the source populations. The source population for the second translocation exhibited reduced population growth rates after translocation, although BACI ratios indicated causes for population declines independent of translocation effects, highlighting the need to investigate processes together with observed patterns. Overall, we demonstrated the ability to rescue isolated sage-grouse populations via translocation, preserving population viability and metapopulation persistence.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2025.110986","usgsCitation":"Meyerpeter, M., Coates, P., Milligan, M.C., Prochazka, B.G., Lazenby, K.D., Abele, S., Tull, J.C., Miller, K., Kolar, J.L., Mathews, S.R., Dehlgren, D., and Delehanty, D.J., 2025, Conservation translocation immediately reverses decline in imperiled sage-grouse populations: Biological Conservation, v. 304, 110986, 10 p., https://doi.org/10.1016/j.biocon.2025.110986.","productDescription":"110986, 10 p.","ipdsId":"IP-158354","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":486980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2025.110986","text":"Publisher Index Page"},{"id":483133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Montana, Nevada, North Dakota, South Dakota, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.00262602042469,\n              38.960489793630984\n            ],\n            [\n              -120.00262602042469,\n              37.42814016372904\n            ],\n            [\n              -118.09479169135818,\n              37.42814016372904\n            ],\n            [\n              -118.09479169135818,\n              38.960489793630984\n            ],\n            [\n              -120.00262602042469,\n              38.960489793630984\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -102.88544244488307,\n              46.66853834505463\n            ],\n            [\n              -111.06921118448022,\n              46.66853834505463\n            ],\n            [\n              -111.06921118448022,\n              40.88855914003949\n            ],\n            [\n              -102.88544244488307,\n              40.88855914003949\n            ],\n            [\n              -102.88544244488307,\n              46.66853834505463\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"304","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meyerpeter, Mary B.","contributorId":352179,"corporation":false,"usgs":false,"family":"Meyerpeter","given":"Mary B.","affiliations":[{"id":51998,"text":"Western EcoSystems Technology","active":true,"usgs":false}],"preferred":false,"id":930223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":352181,"corporation":false,"usgs":true,"family":"Coates","given":"Peter S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":930224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milligan, Megan C. 0000-0001-8466-7803","orcid":"https://orcid.org/0000-0001-8466-7803","contributorId":296042,"corporation":false,"usgs":true,"family":"Milligan","given":"Megan","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":930225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":930226,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lazenby, Kade D.","contributorId":257564,"corporation":false,"usgs":false,"family":"Lazenby","given":"Kade","email":"","middleInitial":"D.","affiliations":[{"id":52056,"text":"Department of Wildland Resources, Jack H. Berryman Institute, S. J. Quinney College of Natural Resources, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":930227,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Abele, Steve","contributorId":299010,"corporation":false,"usgs":false,"family":"Abele","given":"Steve","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":true,"id":930228,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tull, John C. 0000-0002-0680-008X","orcid":"https://orcid.org/0000-0002-0680-008X","contributorId":201650,"corporation":false,"usgs":false,"family":"Tull","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":930229,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Katherine","contributorId":259248,"corporation":false,"usgs":false,"family":"Miller","given":"Katherine","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":true,"id":930230,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kolar, Jesse L.","contributorId":259247,"corporation":false,"usgs":false,"family":"Kolar","given":"Jesse","email":"","middleInitial":"L.","affiliations":[{"id":36989,"text":"North Dakota Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":930231,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mathews, Steven R. 0000-0002-3165-9460 smathews@usgs.gov","orcid":"https://orcid.org/0000-0002-3165-9460","contributorId":176922,"corporation":false,"usgs":true,"family":"Mathews","given":"Steven","email":"smathews@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":930232,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dehlgren, David K.","contributorId":352185,"corporation":false,"usgs":false,"family":"Dehlgren","given":"David K.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":930233,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Delehanty, David J.","contributorId":195584,"corporation":false,"usgs":false,"family":"Delehanty","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":930234,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70265933,"text":"70265933 - 2025 - Quantifying regional ecological dynamics using agency monitoring data, ecological site descriptions, and ecological site groups","interactions":[],"lastModifiedDate":"2025-04-22T16:09:28.804094","indexId":"70265933","displayToPublicDate":"2025-02-18T11:02:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6002,"text":"Rangeland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying regional ecological dynamics using agency monitoring data, ecological site descriptions, and ecological site groups","docAbstract":"<p><span>Information about what ecological conditions are likely, causes or drivers of degradation, and potential management actions to restore degraded lands may support land conservation and restoration decisions. State-and-transition models (STMs) describe persistent plant and ecological conditions that are possible (the “state”) within a given abiotic setting and drivers or actions that can cause shifts between states (the “transitions”). These primarily conceptual models are widely used to inform resource and conservation decisions. Data-driven STMs have been developed for some lands, but not at regional or national scales. Here, we demonstrate a new repeatable workflow for developing data-driven STMs in the United States (US). The approach leverages predictive maps of Ecological Site Groups (ESGs), extensive field-based Federal monitoring databases, information from Ecological Site Description (ESD) STMs, soil erosion models, remotely sensed productivity, and other available spatial information (fire, land protection, and drought) to provide context and descriptions of the data-driven states, including likely drivers of transitions. Results of this workflow applied to one dryland ESG in the Upper Colorado River Basin in the southwestern US suggest that an Invaded state (16% of 1352 plots) and some occurrences of a Grassland state (30% of plots) are in a degraded or at-risk condition with reduced ecosystem services. The most common drivers of state transitions in the associated ESDs (</span><i>n</i><span> = 26) are related to livestock grazing and fire. The Invaded state in the ESG has evidence of degraded habitat quality and accelerated run-off while the Grassland state occurrences show reduced richness, productivity, and elevated erosion risk by wind. Areas subject to wildfire and with lower protection status had greater probability of Invaded state occurrence, generally supporting drivers in ESDs. The workflow presented here can serve as a template for describing ecological dynamics at regional scales, and support prioritization of land for conservation and climate adaptation activities.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.12.006","usgsCitation":"Duniway, M.C., Knight, A.C., Nauman, T., Bishop, T., McCord, S.E., Webb, N.P., Williams, C., and Humphries, J.T., 2025, Quantifying regional ecological dynamics using agency monitoring data, ecological site descriptions, and ecological site groups: Rangeland Ecology & Management, v. 99, p. 119-142-142, https://doi.org/10.1016/j.rama.2024.12.006.","productDescription":"24 p.","startPage":"119-142","endPage":"142","ipdsId":"IP-158948","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":490994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.12.006","text":"Publisher Index Page"},{"id":484842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","noUsgsAuthors":false,"publicationDate":"2025-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":934066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Anna C. 0000-0002-9455-2855","orcid":"https://orcid.org/0000-0002-9455-2855","contributorId":255113,"corporation":false,"usgs":true,"family":"Knight","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":934067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nauman, Travis W.","contributorId":310519,"corporation":false,"usgs":false,"family":"Nauman","given":"Travis W.","affiliations":[{"id":67201,"text":"USDA-NRCS National Soil Survey Center, 2290 SW Resource Blvd., Moab, UT, 84532, USA","active":true,"usgs":false}],"preferred":false,"id":934068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bishop, Tara B.B.","contributorId":215034,"corporation":false,"usgs":false,"family":"Bishop","given":"Tara B.B.","affiliations":[{"id":39160,"text":"Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT USA","active":true,"usgs":false}],"preferred":false,"id":934069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCord, Sarah E.","contributorId":195931,"corporation":false,"usgs":false,"family":"McCord","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":934070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Webb, Nicholas P.","contributorId":195924,"corporation":false,"usgs":false,"family":"Webb","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":6973,"text":"USDA-ARS Jornada Experimental Range and Jornada Basin LTER, Las Cruces, NM; New Mexico State University, Dept. of Plant and Environmental Sciences, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":934071,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, C. Jason","contributorId":292512,"corporation":false,"usgs":false,"family":"Williams","given":"C. Jason","affiliations":[{"id":62926,"text":"Agricultural Research Service, U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":934072,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Humphries, Joel T.","contributorId":270937,"corporation":false,"usgs":false,"family":"Humphries","given":"Joel","email":"","middleInitial":"T.","affiliations":[{"id":56221,"text":"US Bureau of Land Management, Colorado State Office, Lakewood, CO 80215, USA","active":true,"usgs":false}],"preferred":false,"id":934073,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70268813,"text":"70268813 - 2025 - Multispectral red-edge indices accurately estimate nitrogen content in winter cereal cover crops","interactions":[],"lastModifiedDate":"2025-07-08T16:10:56.678715","indexId":"70268813","displayToPublicDate":"2025-02-16T09:05:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":684,"text":"Agronomy Journal","active":true,"publicationSubtype":{"id":10}},"title":"Multispectral red-edge indices accurately estimate nitrogen content in winter cereal cover crops","docAbstract":"<p><span>Winter cover crops reduce erosion and nutrient runoff from agricultural systems. Although cereal cover crops can decrease field nitrate leaching by 50%–95%, the magnitude of this reduction varies within and between fields, making it challenging to monitor the impact of cover crops on nitrate leaching at large spatial extents. Satellite remote sensing using red-edge bands has been shown to effectively estimate crop nitrogen (N) content (kg ha</span><sup>−1</sup><span>) in later growth-stage crops with a closed canopy. In this study, we evaluated 15 spectral indices derived from Sentinel-2 imagery to estimate N concentration (%) and content (kg ha</span><sup>−1</sup><span>) of cereal cover crops, using 1627 destructive samples collected from 2018 to 2023 in Maryland. Observed N content ranged from 0.1 to 214.7 kg ha</span><sup>−1</sup><span>, while N concentration ranged from 0.6% to 5.5%. The 15 indices considered were poor predictors of N concentration (adj.&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;=&nbsp;0.089, root mean squared error [RMSE]&nbsp;=&nbsp;0.802%), but were more successful at measuring N content (biomass × N concentration). Delta red-edge (ΔRE) was the best predictor of N content (adj.&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;=&nbsp;0.748, RMSE&nbsp;=&nbsp;13.10 kg ha</span><sup>−1</sup><span>&nbsp;from cross-validation with 80% train and 20% test splits iterated 100 times) using samples with imagery collected within&nbsp;±4 days of destructive sampling (</span><i>n&nbsp;</i><span>=&nbsp;1110). Our findings indicate that longer red-edge wavelengths (783 and 740 nm) are more suited for estimating N content in cereal cover crops compared to shorter red-edge wavelengths, which have been shown to be more sensitive to biomass. Leave-one-year-out cross-validation demonstrated that the relationship between ΔRE and N content was robust across all four cover crop sampling years included in the study (adj.&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;=&nbsp;0.700–0.769, RMSE&nbsp;=&nbsp;10.70–15.40 kg ha</span><sup>−1</sup><span>). Regression model performance improved with the addition of multiple predictors, including biomass (estimated from Normalized Difference Vegetation Index), weather variables (adj.&nbsp;</span><i>R</i><sup>2&nbsp;</sup><span>=&nbsp;0.765, RMSE&nbsp;=&nbsp;12.37 kg ha</span><sup>−1</sup><span>), management variables (species, season, adj.&nbsp;</span><i>R</i><sup>2&nbsp;</sup><span>=&nbsp;0.772, and RMSE&nbsp;=&nbsp;12.13 kg ha</span><sup>−1</sup><span>), and biophysical variables (height, fractional ground cover, adj.&nbsp;</span><i>R</i><sup>2&nbsp;</sup><span>=&nbsp;0.818, and RMSE&nbsp;=&nbsp;10.29 kg ha</span><sup>−1</sup><span>). These findings demonstrate the feasibility of quantifying N content in cereal cover crops using a red-edge-based spectral index across large geographic extents and indicate the inclusion of additional predictors, such as weather and management data, improves model accuracy. This work has implications for quantifying reductions in N leaching associated with cover crops, aiding in policymaking and evaluation of conservation programs that impact water bodies such as Chesapeake Bay.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/agj2.70011","usgsCitation":"Thieme, A., Jennewein, J., Hively, W.D., Lamb, B.T., Whitcraft, A., Mirsky, S., Reberg-Horton, S., and Justice, C., 2025, Multispectral red-edge indices accurately estimate nitrogen content in winter cereal cover crops: Agronomy Journal, v. 117, no. 1, e70011, 22 p., https://doi.org/10.1002/agj2.70011.","productDescription":"e70011, 22 p.","ipdsId":"IP-166011","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":497994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/agj2.70011","text":"Publisher Index Page"},{"id":491812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Eastern Shore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.72279086706524,\n              39.59745381238187\n            ],\n            [\n              -76.72279086706524,\n              38.03247531099828\n            ],\n            [\n              -75.71750552954822,\n              38.03247531099828\n            ],\n            [\n              -75.71750552954822,\n              39.59745381238187\n            ],\n            [\n              -76.72279086706524,\n              39.59745381238187\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"117","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Thieme, Alison","contributorId":335444,"corporation":false,"usgs":false,"family":"Thieme","given":"Alison","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":942060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jennewein, Jyoti","contributorId":243442,"corporation":false,"usgs":false,"family":"Jennewein","given":"Jyoti","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":942061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":942062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamb, Brian T. 0000-0001-7957-5488","orcid":"https://orcid.org/0000-0001-7957-5488","contributorId":291893,"corporation":false,"usgs":true,"family":"Lamb","given":"Brian","middleInitial":"T.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitcraft, Alicia","contributorId":357632,"corporation":false,"usgs":false,"family":"Whitcraft","given":"Alicia","affiliations":[{"id":48035,"text":"Department of Geographical Sciences, University of Maryland","active":true,"usgs":false}],"preferred":false,"id":942064,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mirsky, S.B.","contributorId":357633,"corporation":false,"usgs":false,"family":"Mirsky","given":"S.B.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":942065,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reberg-Horton, S.C.","contributorId":357634,"corporation":false,"usgs":false,"family":"Reberg-Horton","given":"S.C.","affiliations":[{"id":85481,"text":"Department of Crop and Soil Sciences, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":942066,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Justice, C.","contributorId":146851,"corporation":false,"usgs":false,"family":"Justice","given":"C.","email":"","affiliations":[],"preferred":false,"id":942067,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263853,"text":"70263853 - 2025 - Terrestrial mammal diversity at Hansen Dam (Los Angeles, California, USA): Flood control area acts as habitat in a human-dominated landscape","interactions":[],"lastModifiedDate":"2025-02-26T20:46:25.950626","indexId":"70263853","displayToPublicDate":"2025-02-14T14:41:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20188,"text":"Check List: The Journal of Biodiversity Data","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial mammal diversity at Hansen Dam (Los Angeles, California, USA): Flood control area acts as habitat in a human-dominated landscape","docAbstract":"<p><span>Urban expansion is a prominent threat to biodiversity, particularly for terrestrial mammals, which are significantly impacted by disruptions in habitat connectivity and loss. It can also lead to increased human‑wildlife conflicts that contribute to species decline. Urban public works projects, such as flood control areas, may coincidentally preserve significant habitat, but their potential for conservation remains understudied. Hansen Dam, located in the city of Los Angeles, California, USA, is one of these flood control areas, hosting some of the last remaining riparian habitat in the greater Los Angeles area. We deployed motion‑triggered camera traps at 36 stratified random locations and completed small mammal trapping at 20 sites at Hansen Dam. We detected a total of 15 species, not including domesticated animals, but there is potential that additional species inhabit the area. All species detected were common and expected but demonstrate that the Hansen Dam flood control basin has a terrestrial mammal community similar to that reported for other urban habitats. These results suggest incidental habitat conservation could play a significant role in future conservation planning efforts.</span></p>","language":"English","publisher":"Pensoft","doi":"10.15560/21.1.198","usgsCitation":"Privett-Mendoza, A., Oganesyan, S., Fisher, R., Hitchcock, C.J., Clark, D., and Zellmer, A., 2025, Terrestrial mammal diversity at Hansen Dam (Los Angeles, California, USA): Flood control area acts as habitat in a human-dominated landscape: Check List: The Journal of Biodiversity Data, v. 21, no. 1, p. 198-215, https://doi.org/10.15560/21.1.198.","productDescription":"18 p.","startPage":"198","endPage":"215","ipdsId":"IP-163743","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":487696,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15560/21.1.198","text":"Publisher Index Page"},{"id":482501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","otherGeospatial":"Hansen Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.395,\n              34.28\n            ],\n            [\n              -118.395,\n              34.255\n            ],\n            [\n              -118.355,\n              34.255\n            ],\n            [\n              -118.355,\n              34.28\n            ],\n            [\n              -118.395,\n              34.28\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Privett-Mendoza, Auxenia G.","contributorId":351493,"corporation":false,"usgs":false,"family":"Privett-Mendoza","given":"Auxenia G.","affiliations":[{"id":83998,"text":"Occidental College; Arroyos & Foothills Conservancy","active":true,"usgs":false}],"preferred":false,"id":928688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oganesyan, Stella","contributorId":351494,"corporation":false,"usgs":false,"family":"Oganesyan","given":"Stella","affiliations":[{"id":83999,"text":"Arroyos & Foothills Conservancy","active":true,"usgs":false}],"preferred":false,"id":928689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hitchcock, Cynthia Joan 0000-0001-9293-043X","orcid":"https://orcid.org/0000-0001-9293-043X","contributorId":225261,"corporation":false,"usgs":true,"family":"Hitchcock","given":"Cynthia","email":"","middleInitial":"Joan","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Denise 0000-0002-9688-2946 drclark@usgs.gov","orcid":"https://orcid.org/0000-0002-9688-2946","contributorId":213957,"corporation":false,"usgs":true,"family":"Clark","given":"Denise","email":"drclark@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zellmer, Amanda J.","contributorId":351495,"corporation":false,"usgs":false,"family":"Zellmer","given":"Amanda J.","affiliations":[{"id":83998,"text":"Occidental College; Arroyos & Foothills Conservancy","active":true,"usgs":false}],"preferred":false,"id":928693,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265628,"text":"70265628 - 2025 - Spatial close-kin mark-recapture models applied to terrestrial species with continuous natal dispersal","interactions":[],"lastModifiedDate":"2025-04-14T15:48:58.657325","indexId":"70265628","displayToPublicDate":"2025-02-13T10:47:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Spatial close-kin mark-recapture models applied to terrestrial species with continuous natal dispersal","docAbstract":"<ol class=\"\"><li>Close-kin mark–recapture (CKMR) methods use information on genetic relatedness among individuals to estimate demographic parameters. An individual's genotype can be considered a ‘recapture’ of each of its parent's genotype, and the frequency of kin-pair matches detected in a population sample can directly inform estimates of abundance. CKMR inference procedures require analysts to define kinship probabilities in functional forms, which inevitably involve simplifying assumptions. Among others, population structure can have a strong influence on how kinship probabilities are formulated. Many terrestrial species are philopatric or face barriers to dispersal, and not accounting for dispersal limitation in kinship probabilities, can create substantial bias if sampling is also spatially structured (e.g. via harvest).</li><li>We present a spatially explicit formulation of CKMR that corrects for incomplete mixing by incorporating natal dispersal distances and spatial distribution of individuals into the kinship probabilities. We used individual-based simulations to evaluate the accuracy of abundance estimates obtained with one spatially naïve and two spatially explicit CKMR models across six scenarios with distinct spatial patterns of relative abundance and sampling probability.</li><li>Estimates of abundance obtained with a CKMR model naïve to spatial structure were negatively biased when sampling was spatially biased. Incorporating patterns of natal dispersal in the kinship probabilities helped address this bias, but estimates were not always accurate depending on the model used and the scenario considered.</li><li>Incorporating natal dispersal into spatially structured CKMR models can address the bias created by population structure and heterogeneous sampling but will often require additional assumptions and auxiliary data (e.g. relative abundance indices). The models shown here were designed for terrestrial species with continuous patterns of natal dispersal and high year-to-year site fidelity but could be extended to other species.</li></ol>","language":"English","publisher":"Elsevier","doi":"10.1111/2041-210x.14490","usgsCitation":"Seveque, A., Lonsinger, R.C., Waits, L., and Morin, D.J., 2025, Spatial close-kin mark-recapture models applied to terrestrial species with continuous natal dispersal: Methods in Ecology and Evolution, v. 16, no. 4, p. 733-743, https://doi.org/10.1111/2041-210x.14490.","productDescription":"11 p.","startPage":"733","endPage":"743","ipdsId":"IP-163231","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488212,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14490","text":"Publisher Index Page"},{"id":484506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Seveque, Anthony","contributorId":340602,"corporation":false,"usgs":false,"family":"Seveque","given":"Anthony","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":933142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":933143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waits, Lisette P.","contributorId":338452,"corporation":false,"usgs":false,"family":"Waits","given":"Lisette P.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":933144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morin, Dana J.","contributorId":340614,"corporation":false,"usgs":false,"family":"Morin","given":"Dana","email":"","middleInitial":"J.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":933145,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264128,"text":"70264128 - 2025 - Examining the role of elevated and sustained strain in dynamically triggering earthquakes on the Anza section of the San Jacinto fault","interactions":[],"lastModifiedDate":"2025-03-26T16:07:23.508604","indexId":"70264128","displayToPublicDate":"2025-02-11T08:33:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Examining the role of elevated and sustained strain in dynamically triggering earthquakes on the Anza section of the San Jacinto fault","docAbstract":"<p><span>Microearthquakes can be dynamically triggered in southern California by remote earthquakes. However, directly connecting dynamic triggering mechanisms with observational data remains challenging. One proposed failure mechanism suggests that both the amplitude and duration of cyclic fatigue caused by the passing seismic wave contribute to triggering occurrence. Here, we measure dynamic strains recorded by borehole strainmeters in the Anza section of the San Jacinto fault zone from 710 earthquakes that occurred over 300&nbsp;km away between 2008 and 2017 to systematically investigate the role of elevated and sustained strain in controlling dynamic triggering. We design a suite of tests to evaluate whether specific amplitude thresholds and durations of strain can predict dynamic triggering cases. We further test whether the peak dynamic strain (PDS) can predict triggering occurrence in combination with the strain amplitude and duration. Based on these tests, there is no strain amplitude–duration threshold that can distinguish triggering occurrence in Anza. Dynamic triggering is more likely to occur if a remote earthquake causes a PDS above 100 nanostrain, though many cases were triggered at smaller PDSs. The lack of clear correlation between triggering and characteristics of the dynamic strain field suggests that the tested features of the incoming waves do not determine triggering occurrence and local fault conditions and slip processes are more important in controlling dynamic triggering in Anza.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240079","usgsCitation":"DeSalvio, N., Barbour, A.J., and Fan, W., 2025, Examining the role of elevated and sustained strain in dynamically triggering earthquakes on the Anza section of the San Jacinto fault: Bulletin of the Seismological Society of America, v. 115, no. 2, p. 452-468, https://doi.org/10.1785/0120240079.","productDescription":"17 p.","startPage":"452","endPage":"468","ipdsId":"IP-166033","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":483056,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Anza","otherGeospatial":"southern California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.83265495625426,\n              33.66435535714875\n            ],\n            [\n              -116.83265495625426,\n              33.48533709134661\n            ],\n            [\n              -116.5242645931615,\n              33.48533709134661\n            ],\n            [\n              -116.5242645931615,\n              33.66435535714875\n            ],\n            [\n              -116.83265495625426,\n              33.66435535714875\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"DeSalvio, Nicolas","contributorId":352016,"corporation":false,"usgs":false,"family":"DeSalvio","given":"Nicolas","affiliations":[{"id":25459,"text":"SIO","active":true,"usgs":false}],"preferred":false,"id":929914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":929915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fan, Wenyuan","contributorId":174007,"corporation":false,"usgs":false,"family":"Fan","given":"Wenyuan","email":"","affiliations":[{"id":6728,"text":"Scripps Inst Oceanography","active":true,"usgs":false}],"preferred":false,"id":929916,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265052,"text":"70265052 - 2025 - Exploring the science and data foundation for Federal public lands decisions","interactions":[],"lastModifiedDate":"2025-04-01T14:33:16.699808","indexId":"70265052","displayToPublicDate":"2025-02-10T09:27:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Exploring the science and data foundation for Federal public lands decisions","docAbstract":"<p><span>Public lands provide diverse resources, values, and services worldwide. Laws and policies typically require consideration of science in public lands decisions, and resource managers are committed to science-informed decision-making. However, it can be challenging for managers to use, and document the use of, science and data in their decisions. To better understand science and data use in Federal public lands decisions in the United States, we assessed the number, type, and age of documents cited in 70 Environmental Assessments (EAs) completed by the Bureau of Land Management (BLM) in Colorado from 2015–2019. We focused on the BLM, as they manage the largest area of public lands in the United States. We selected Colorado as our study area, as actions proposed on BLM lands in Colorado are representative of those across the nation. Fifty percent of citations were categorized as science and 23% as data. EAs contained an average of 17 citations (range 0–111), with documents analyzing effects of oil and gas development and recreation actions including the highest and lowest mean number of citations (41 and 6, respectively). Of individual resource analysis sections within EAs, 24% contained ≥1 science citation and 21% contained ≥1 data citation. Journal articles were the most cited type of document (26% of citations) followed by non-BLM inventories (13%). Forty-seven percent of citations were relatively recent (2010 or later); the oldest citation was from 1927. Commonly analyzed resources with the highest mean number of citations were socioeconomics, mineral resources, and noise. Fourteen of 33 commonly analyzed resources included &lt;1 citation on average. Actions and resources with no or few citations represent opportunities for strengthening the transparent use of science and data in public lands decision-making.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0316013","usgsCitation":"Foster, A., Canchola, A., Haby, T.S., and Carter, S.K., 2025, Exploring the science and data foundation for Federal public lands decisions: PLoS ONE, v. 20, no. 2, e0316013, 17 p., https://doi.org/10.1371/journal.pone.0316013.","productDescription":"e0316013, 17 p.","ipdsId":"IP-147398","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":488656,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0316013","text":"Publisher Index Page"},{"id":484061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.033613592161,\n              40.94360758769497\n            ],\n            [\n              -109.033613592161,\n              37.00275906966762\n            ],\n            [\n              -102.12660083351636,\n              37.00275906966762\n            ],\n            [\n              -102.12660083351636,\n              40.94360758769497\n            ],\n            [\n              -109.033613592161,\n              40.94360758769497\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Foster, Alison C. 0000-0002-6659-2120","orcid":"https://orcid.org/0000-0002-6659-2120","contributorId":331240,"corporation":false,"usgs":false,"family":"Foster","given":"Alison C.","affiliations":[{"id":79166,"text":"USGS, currently US Forest Service","active":true,"usgs":false}],"preferred":false,"id":932427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canchola, Andrew T.","contributorId":350323,"corporation":false,"usgs":false,"family":"Canchola","given":"Andrew T.","affiliations":[{"id":83709,"text":"City of Greeley","active":true,"usgs":false}],"preferred":false,"id":932428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haby, Travis S. 0000-0003-2204-9967","orcid":"https://orcid.org/0000-0003-2204-9967","contributorId":138831,"corporation":false,"usgs":false,"family":"Haby","given":"Travis","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":932429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":932430,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264040,"text":"70264040 - 2025 - Highly pathogenic avian influenza virus H5N1 in double-crested cormorants (Nannopterum auritum) of the Chesapeake Bay, USA","interactions":[],"lastModifiedDate":"2025-05-28T14:49:29.252868","indexId":"70264040","displayToPublicDate":"2025-02-06T08:00:32","publicationYear":"2025","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":"Highly pathogenic avian influenza virus H5N1 in double-crested cormorants (Nannopterum auritum) of the Chesapeake Bay, USA","docAbstract":"<p><span>Double-crested Cormorants (</span><i>Nannopterum auritum</i><span>) have historically exhibited low levels of infection and antibodies to avian influenza virus (AIV). The recent global expansion of clade 2.3.4.4b A/goose/Guangdong/1/1996 highly pathogenic (HP) avian influenza virus H5N1 (HPAI H5N1) has resulted in large-scale mortalities across diverse waterbird taxa including cormorants. We sampled 32 and 29 Double-crested Cormorants breeding in the Chesapeake Bay, US, during the summers of 2023 and 2024, respectively, to assess HPAI H5N1 infection and AIV antibodies. Although no mortality was observed in the area, one bird sampled in 2023 was infected with HPAI H5N1. Additionally, 21/31 individuals in 2023 and 10/25 individuals in 2024 for which sera were collected had AIV antibodies. Based on additional testing using hemagglutination inhibition, virus neutralization, and an enzyme-linked lectin assay, 94 and 100% (2023 and 2024, respectively) of the seropositive birds tested positive for antibodies to both H5 and N1, suggesting previous infection with HPAI H5N1. These results are consistent with survival and limited clinical effects related to HPAI H5N1 infections. Furthermore, these results suggest that population immunity to HPAI H5N1 within the Chesapeake Bay might reduce future infections and potential population impacts should HP H5N1 remain on the landscape, though immunity may be waning across time. Because results are based on a single population, additional testing for both infection and antibodies as well as continued monitoring could enhance understanding of antibody persistence.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/jwd-d-24-00111","usgsCitation":"Harvey, J., Sullivan, J., Poulson, R., Carter, D.L., Driscoll, C.P., McGowan, P.C., Callahan, C.R., O'Donnell, A., Mullinax, J.M., Stallknecht, D., and Prosser, D.J., 2025, Highly pathogenic avian influenza virus H5N1 in double-crested cormorants (Nannopterum auritum) of the Chesapeake Bay, USA: Journal of Wildlife Diseases, v. 61, no. 2, p. 348-356, https://doi.org/10.7589/jwd-d-24-00111.","productDescription":"9 p.","startPage":"348","endPage":"356","ipdsId":"IP-166564","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":482915,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.8702033385699,\n              39.65270512692044\n            ],\n            [\n              -76.71510396799904,\n              39.65270512692044\n            ],\n            [\n              -76.71510396799904,\n              36.82223050001578\n            ],\n            [\n              -75.8702033385699,\n              36.82223050001578\n            ],\n            [\n              -75.5415430693737,\n              37.907513139633274\n            ],\n            [\n              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Center","active":true,"usgs":true}],"preferred":true,"id":929571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":929572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, Deborah L.","contributorId":335924,"corporation":false,"usgs":false,"family":"Carter","given":"Deborah","email":"","middleInitial":"L.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":929573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Driscoll, Cindy P.","contributorId":190850,"corporation":false,"usgs":false,"family":"Driscoll","given":"Cindy","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":929574,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGowan, Peter C.","contributorId":13867,"corporation":false,"usgs":false,"family":"McGowan","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":929575,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Callahan, Carl R.","contributorId":205289,"corporation":false,"usgs":false,"family":"Callahan","given":"Carl","email":"","middleInitial":"R.","affiliations":[{"id":37073,"text":"USFWS, Annapolis MD","active":true,"usgs":false}],"preferred":false,"id":929576,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O'Donnell, Amy W.","contributorId":351827,"corporation":false,"usgs":false,"family":"O'Donnell","given":"Amy W.","affiliations":[{"id":84062,"text":"Fish and Wildlife Health Program","active":true,"usgs":false}],"preferred":false,"id":929577,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":929578,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":929579,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":929580,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70262798,"text":"70262798 - 2025 - Impoundments facilitate upstream invasion and introgression: Case studies of fluvial black basses (Micropterus spp.) in the southeastern USA","interactions":[],"lastModifiedDate":"2025-03-11T15:17:15.370963","indexId":"70262798","displayToPublicDate":"2025-02-05T11:33:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Impoundments facilitate upstream invasion and introgression: Case studies of fluvial black basses (Micropterus spp.) in the southeastern USA","docAbstract":"<p><span>Impoundment construction has resulted in the alternation and loss of fluvial habitats, threatening the persistence of many native fishes. Compounding this threat, non-native species stocked into impoundments often invade interconnected fluvial habitats, where they may negatively affect native species. Black basses (genus&nbsp;</span><i>Micropteru</i><span>s) are popular sportfishes with divergent ecologies: some taxa are tolerant of impoundments and widely stocked to create fishing opportunities, whereas others are endemic fluvial specialists that are threatened by introgression with non-native congeneric taxa. We investigated whether impoundments facilitate non-native invasion and introgression in two case study systems: Lake Lanier, Georgia, and Lake Tenkiller, Oklahoma. In both case studies, native fluvial taxa inhabited upstream tributaries and a non-native was established within the downstream impoundment. Results from longitudinal surveys of upstream tributaries provided clear evidence that non-natives invaded upstream from impoundments, and in some cases, extensive introgression with native taxa also occurred. Variation in spatial trends of invasion and directionalities of introgression across case studies provided insights into eco-evolutionary drivers. Within the riverscapes studied, proximity to impoundment appeared to influence invasion and introgression dynamics, and in one case, stream size was also influential. Introgression rates also varied markedly across the species pairs studied–from very little introgression to the onset of hybrid swarming–illustrating the importance of underlying eco-evolutionary mechanisms such as habitat alteration, propagule pressure, and reproductive isolation. Our results underscore the need to consider the upstream influences of impoundments, and the non-natives that invade from them, to create more holistic riverscape conservation plans for fluvial fishes, including native black basses.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0315620","usgsCitation":"Taylor, A., Tringali, M., and Long, J.M., 2025, Impoundments facilitate upstream invasion and introgression: Case studies of fluvial black basses (Micropterus spp.) in the southeastern USA: PLoS ONE, v. 20, no. 2, e0315620, 26 p., https://doi.org/10.1371/journal.pone.0315620.","productDescription":"e0315620, 26 p.","ipdsId":"IP-121659","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488032,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0315620","text":"Publisher Index Page"},{"id":482047,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Georgia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.5707128553395,\n              36.15203837151215\n            ],\n            [\n              -95.14256445796512,\n              36.15203837151215\n            ],\n            [\n              -95.14256445796512,\n              35.56576894732771\n            ],\n            [\n              -94.5707128553395,\n              35.56576894732771\n            ],\n            [\n              -94.5707128553395,\n              36.15203837151215\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.33438750163238,\n              34.97080121142585\n            ],\n            [\n              -84.20926628296864,\n              34.97080121142585\n            ],\n            [\n              -84.20926628296864,\n              34.043889038377344\n            ],\n            [\n              -83.33438750163238,\n              34.043889038377344\n            ],\n            [\n              -83.33438750163238,\n              34.97080121142585\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, A.T.","contributorId":275887,"corporation":false,"usgs":false,"family":"Taylor","given":"A.T.","affiliations":[{"id":54572,"text":"University of Central Oklahoma","active":true,"usgs":false}],"preferred":false,"id":924807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tringali, M.D.","contributorId":349786,"corporation":false,"usgs":false,"family":"Tringali","given":"M.D.","affiliations":[{"id":54572,"text":"University of Central Oklahoma","active":true,"usgs":false}],"preferred":false,"id":924808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924809,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262805,"text":"70262805 - 2025 - Determining the effects of reduced water availability on seed germination of five bottomland hardwood tree species","interactions":[],"lastModifiedDate":"2025-01-23T16:00:41.372934","indexId":"70262805","displayToPublicDate":"2025-02-01T08:56:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Determining the effects of reduced water availability on seed germination of five bottomland hardwood tree species","docAbstract":"<p><span>Globally, floodplain forests are experiencing shifts in species composition associated with drier conditions and disruptions of flood pulse hydrology. The specific processes behind these shifts in composition are not fully understood, but differential effects of drought on regeneration processes such as seed germination may be partially responsible. To determine how reduced water availability impacts seed germination of different floodplain tree species, a lab-controlled germination experiment was conducted. Seeds from tree species common to floodplain forests of the southeastern and southcentral United States whose abundance have been altered by drier hydrogeomorphic conditions were examined. These seeds included desiccation resistant, or orthodox, seeds of sugarberry (</span><i>Celtis laevigata</i><span>) and green ash (</span><i>Fraxinus pennsylvanica</i><span>), and desiccation sensitive, or recalcitrant, acorns of overcup oak (</span><i>Quercus lyrata</i><span>), water oak (</span><i>Quercus nigra</i><span>), and willow oak (</span><i>Quercus phellos</i><span>). Seeds of each species were incubated with one of eight osmotically adjusted water solutions ranging in water potential from 0.0 MPa to −1.4 MPa. This reduction in water potential decreases the water available to the seeds for germination. After four weeks, seed germination of all species decreased with reduced water potential; however, desiccation tolerance did not correspond with the ability to germinate under lower water potential. Orthodox seeds only germinated in higher water potential treatments. Sugarberry reached 30 % germination in only the control 0.0 MPa treatment while green ash reached 30 % germination in treatments as low as −0.4 MPa. In contrast, recalcitrant acorns continued to germinate under lower water potentials. Water oak maintained 30 % or greater germination under all treatments and willow oak reached 30 % down to −0.8 MPa. Overcup oak was the only species to not respond to water potential treatment. With respect to maximum germination, sugarberry and green ash reached maximum germination an average of 9 days sooner than the oak species. The results of this study agree with others that demonstrate that seed germination success is sensitive to environmental water conditions and that species specific differences in germination traits are linked to broader life history strategies that are adaptive to common environmental conditions in their range.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2024.122410","usgsCitation":"Pell, C., King, S.L., Hawkins, T.S., and Symmank, M., 2025, Determining the effects of reduced water availability on seed germination of five bottomland hardwood tree species: Forest Ecology and Management, v. 577, 122410, 7 p., https://doi.org/10.1016/j.foreco.2024.122410.","productDescription":"122410, 7 p.","ipdsId":"IP-162807","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":480998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"577","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pell, Charles J.","contributorId":349796,"corporation":false,"usgs":false,"family":"Pell","given":"Charles J.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":924825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawkins, Tracy S.","contributorId":341655,"corporation":false,"usgs":false,"family":"Hawkins","given":"Tracy","email":"","middleInitial":"S.","affiliations":[{"id":81773,"text":"Research Ecologist","active":true,"usgs":false}],"preferred":false,"id":924827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Symmank, Matt","contributorId":349797,"corporation":false,"usgs":false,"family":"Symmank","given":"Matt","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":924828,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264783,"text":"70264783 - 2025 - Exosomal micro RNA isolation in white-tailed deer (Odocoileus virginianus) for diagnostic biomarker discovery","interactions":[],"lastModifiedDate":"2025-03-24T15:07:53.520626","indexId":"70264783","displayToPublicDate":"2025-01-31T10:04:49","publicationYear":"2025","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":"Exosomal micro RNA isolation in white-tailed deer (<i>Odocoileus virginianus</i>) for diagnostic biomarker discovery","title":"Exosomal micro RNA isolation in white-tailed deer (Odocoileus virginianus) for diagnostic biomarker discovery","docAbstract":"<p><span>Molecular approaches are becoming more prevalent for the diagnosis of neurodegenerative diseases in human medicine and can be extended to diagnosis of wildlife diseases such as chronic wasting disease and other prion diseases. These diseases have been associated with exosome-bound molecular biomarkers of disease progression, such as proteins and micro RNA molecules (miRNA). We tested and optimized a method for exosomal miRNA isolation from minimally invasive, small-volume serum samples obtained from white-tailed deer (</span><i>Odocoileus virginianus</i><span>). We confirmed the isolation of exosomes and optimized a commercially available benchtop kit to obtain sufficient and pure RNA for miRNA sequencing. The selected method for RNA extraction combines two 500-</span><i>m</i><span>L serum aliquots into one elution column and re-eluting the final product of the column. We identified 137 miRNA present in healthy white-tailed deer that can be used as a baseline to identify putative miRNA biomarkers of disease progression and mechanisms of infection in future comparative disease studies. This approach to biomarker discovery may help to inform biological processes in wildlife populations and provide alternatives to invasive or postmortem samples.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-24-00075","usgsCitation":"De Maria, M., Maxwell, L., Hunter, M., and Ferrante, J., 2025, Exosomal micro RNA isolation in white-tailed deer (Odocoileus virginianus) for diagnostic biomarker discovery: Journal of Wildlife Diseases, v. 61, no. 1, p. 212-218, https://doi.org/10.7589/JWD-D-24-00075.","productDescription":"7 p.","startPage":"212","endPage":"218","ipdsId":"IP-164755","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":483714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"De Maria, Maite 0000-0002-5251-4869","orcid":"https://orcid.org/0000-0002-5251-4869","contributorId":346886,"corporation":false,"usgs":false,"family":"De Maria","given":"Maite","email":"","affiliations":[{"id":64427,"text":"Cherokee Nation System Solutions","active":true,"usgs":false}],"preferred":false,"id":931665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maxwell, Lillian G. 0009-0007-7876-0797","orcid":"https://orcid.org/0009-0007-7876-0797","contributorId":352561,"corporation":false,"usgs":false,"family":"Maxwell","given":"Lillian G.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":931666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214742,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":931667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferrante, Jason 0000-0003-3453-4636","orcid":"https://orcid.org/0000-0003-3453-4636","contributorId":331541,"corporation":false,"usgs":false,"family":"Ferrante","given":"Jason","affiliations":[{"id":79241,"text":"former USGS WARC employee","active":true,"usgs":false}],"preferred":false,"id":931668,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263172,"text":"ofr20251001 - 2025 - Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2023 Annual report","interactions":[],"lastModifiedDate":"2025-02-03T14:39:58.953901","indexId":"ofr20251001","displayToPublicDate":"2025-01-31T09:59:40","publicationYear":"2025","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":"2025-1001","displayTitle":"Distribution, Abundance, and Breeding Activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2023 Annual Report","title":"Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2023 Annual report","docAbstract":"<h1>Executive Summary</h1><p>The purpose of this report is to provide the Marine Corps with an annual summary of the distribution, abundance, and breeding activity of the endangered Southwestern Willow Flycatcher (<i>Empidonax traillii extimus; flycatcher</i>) at Marine Corps Base Camp Pendleton (MCBCP or “Base”). Surveys for the flycatcher were completed on Base between May 8 and July 26, 2023. All of MCBCP’s historically occupied riparian habitat (core survey area) was surveyed for flycatchers in 2023. None of the non-core survey areas were surveyed in 2023.</p><p>In 2023, 14 transient Willow Flycatchers of unknown subspecies were observed on two of the five drainages surveyed, the Santa Margarita River and San Mateo Creek. No Willow Flycatchers were detected at Fallbrook, Las Flores, or Pilgrim Creeks. Transients occurred in a range of habitat types, including mixed willow (<i>Salix</i> spp.) riparian, and riparian scrub. Exotic vegetation, primarily poison hemlock (<i>Conium maculatum</i>), was present in most of the flycatcher locations.</p><p>In 2023, the resident Southwestern Willow Flycatcher population on Base consisted of one unpaired female occupying one territory. No territorial males were observed in 2023. The resident flycatcher population was restricted to the Santa Margarita River, and distribution was limited to the Air Station breeding area. The resident flycatcher territory was in mixed willow riparian habitat.</p><p>Nesting was initiated in late June and continued into late July. One nesting attempt was documented, which was ultimately unsuccessful because of infertile eggs. No instances of Brown-headed Cowbird (<i>Molothrus ater</i>) parasitism were observed. The flycatcher nest was placed in native sandbar willow (<i>Salix exigua</i>).</p><p>For the first time since 2012, a flycatcher that was originally banded as a nestling on MCBCP returned and established a breeding territory in 2023. The nestling (female) was originally banded in 2020, making her 3 years old. No other uniquely banded adult flycatchers present in previous years returned to MCBCP in 2023. No new adults or nestlings were banded in 2023. None of the transients observed during surveys were seen to carry bands. From 2000 to 2023, the adult annual survival of Southwestern Willow Flycatchers on MCBCP was 60±3 percent, while first-year survival was 20±3 percent.</p><p>Two measures were initiated in recent years to attract and retain breeding flycatchers on MCBCP: a conspecific attraction playback study (initiated in 2018) and an artificial seep study (initiated in 2019); both were repeated annually through 2023. The female resident flycatcher detected in 2023 was observed within 110 meters (m) of an automated playback unit, and within 90 m of an artificial seep.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251001","collaboration":"Prepared in cooperation with Assistant Chief of Staff, Environmental Security, U.S. Marine Corps Base Camp Pendleton","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Howell, S.L., and Kus, B.E., 2025, Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2023 Annual report: U.S. Geological Survey Open-File Report 2025–1001, 33 p., https://doi.org/10.3133/ofr20251001.","productDescription":"viii, 33 p.","numberOfPages":"33","onlineOnly":"Y","ipdsId":"IP-164908","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":481516,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1001/covrthb.jpg"},{"id":481517,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1001/ofr20251001.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":481518,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1001/ofr20251001.XML"},{"id":481519,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1001/images"},{"id":481520,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251001/full"}],"country":"United States","state":"California","otherGeospatial":"Marine Corps Base Camp Pendleton","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.39997901995842,\n              33.20348147161701\n            ],\n            [\n              -117.25913148021745,\n              33.3055814745404\n            ],\n            [\n              -117.27008142483484,\n              33.33303152823157\n            ],\n            [\n              -117.30731123653293,\n              33.33486122440726\n            ],\n            [\n              -117.30731123653293,\n              33.36778918278807\n            ],\n            [\n              -117.25913148021745,\n              33.40436119178676\n            ],\n            [\n              -117.50655552691597,\n              33.51394751731537\n            ],\n            [\n              -117.51298257535665,\n              33.47148649549186\n            ],\n            [\n              -117.58070842925882,\n              33.45548832290589\n            ],\n            [\n              -117.60055243451835,\n              33.410365357587224\n            ],\n            [\n              -117.59841600919324,\n              33.38298379275541\n            ],\n            [\n              -117.49767651871517,\n              33.33176608587266\n            ],\n            [\n              -117.39997901995842,\n              33.20348147161701\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Study Area and Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li><li>Appendix 1. Southwestern Willow Flycatcher Survey Areas at Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 2. Locations of Willow Flycatchers at Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 3. Willow Flycatcher Detections at Marine Corps Base Camp Pendleton, by Drainage, 2000–23</li><li>Appendix 4. Southwestern Willow Flycatcher Territory Locations at Marine Corps Base Camp Pendleton, 2023</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2025-01-31","noUsgsAuthors":false,"publicationDate":"2025-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Scarlett L. 0000-0001-7538-4860 showell@usgs.gov","orcid":"https://orcid.org/0000-0001-7538-4860","contributorId":140441,"corporation":false,"usgs":true,"family":"Howell","given":"Scarlett","email":"showell@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":925762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":925763,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264269,"text":"70264269 - 2025 - Climate change impacts and adaptation in U.S. Rocky Mountain high-elevation ecosystems","interactions":[],"lastModifiedDate":"2025-03-10T14:36:34.393735","indexId":"70264269","displayToPublicDate":"2025-01-31T09:35:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Climate change impacts and adaptation in U.S. Rocky Mountain high-elevation ecosystems","docAbstract":"<p><span>From a resource management perspective, climate change is considered to be one of the main threats to high-elevation ecosystems. However, these valuable ecosystems present unique challenges to climate change adaptation (actions in response to environmental change and its effects in a way that seeks to reduce harm) due to their rugged and remote characteristics. Within this context, we summarized literature on climate change impacts and adaptation actions across U.S. Rocky Mountain high-elevation ecosystems to address the important question: What are the knowledge gaps for climate change responses within this ecosystem that limit the ability of natural resource managers to perform successful climate change adaptation? In addressing this question, we focus specifically on the U.S. Rocky Mountains but also place regional conclusions for climate change adaptation in high-elevation ecosystems into a broader context. Overall, we found that the complex topography and temporally variable climate of mountains promote potential refugia that may buffer alpine obligate species in the near-term but also challenge resource managers to consider biological lags within this ecosystem.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2025.2450089","usgsCitation":"Oldfather, M.F., Ennis, A., Miller, B.W., Clark-Wolf, K., Rangwala, I., Robe, H., and Littlefield, C., 2025, Climate change impacts and adaptation in U.S. Rocky Mountain high-elevation ecosystems: Arctic, Antarctic, and Alpine Research, v. 57, no. 1, 2450089, 14 p., https://doi.org/10.1080/15230430.2025.2450089.","productDescription":"2450089, 14 p.","ipdsId":"IP-165166","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":487765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":930292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark-Wolf, Kyra 0000-0003-4584-0348","orcid":"https://orcid.org/0000-0003-4584-0348","contributorId":352214,"corporation":false,"usgs":false,"family":"Clark-Wolf","given":"Kyra","affiliations":[],"preferred":false,"id":930293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rangwala, Imtiaz 0000-0002-4313-9374","orcid":"https://orcid.org/0000-0002-4313-9374","contributorId":148973,"corporation":false,"usgs":false,"family":"Rangwala","given":"Imtiaz","email":"","affiliations":[{"id":34534,"text":"Cooperative Institute for Research in Environmental Sciences (CIRES), University of 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,{"id":70265497,"text":"70265497 - 2025 - Myiasis infection by the toad fly (Lucilia bufonivora; Calliphoidae) in amphibians in Montana, USA","interactions":[],"lastModifiedDate":"2025-04-08T15:30:56.957189","indexId":"70265497","displayToPublicDate":"2025-01-31T08:25:13","publicationYear":"2025","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":"Myiasis infection by the toad fly (Lucilia bufonivora; Calliphoidae) in amphibians in Montana, USA","docAbstract":"<p><span>Toad flies in the genus&nbsp;</span><i>Lucilia</i><span>&nbsp;(previously referred to as&nbsp;</span><i>Bufolucilia</i><span>&nbsp;spp.) parasitize and cause myiasis in several amphibian species in North America. From 2019 to 2022, we documented&nbsp;</span><i>Lucilia bufonivora</i><span>&nbsp;infections in post-metamorphic western toads&nbsp;</span><i>(Anaxyrus boreas</i><span>) during amphibian surveys in four wetlands in Glacier National Park, Montana, US. We found nine infected adult toads in 2019, seven infected adults in 2020, one infected juvenile in 2021, and five infected adults plus one infected juvenile in 2022. We also captured Columbia spotted frogs (</span><i>Rana luteiventris</i><span>) during these same surveys but detected no infections. Only one of the four wetlands had infected toads in 2019, despite their proximity and hydrologic connectivity, but two of these wetlands had infections in 2020, and a third had a single infection in 2021. The same three of four wetlands had infections in 2022. In 2008, a similar parasitic infection in one western toad had been noted at the same wetland as in 2019. That toad had been captured again two years later without signs of infection.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-24-00066","usgsCitation":"Fischer, L., and Hossack, B., 2025, Myiasis infection by the toad fly (Lucilia bufonivora; Calliphoidae) in amphibians in Montana, USA: Journal of Wildlife Diseases, v. 61, no. 1, p. 206-2011, https://doi.org/10.7589/JWD-D-24-00066.","productDescription":"6 p.","startPage":"206","endPage":"2011","ipdsId":"IP-165212","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":484332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.31542629184875,\n              48.99439796903869\n            ],\n            [\n              -114.31542629184875,\n              48.51117768811824\n            ],\n            [\n              -113.42667525702582,\n              48.51117768811824\n            ],\n            [\n              -113.42667525702582,\n              48.99439796903869\n            ],\n            [\n              -114.31542629184875,\n              48.99439796903869\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"61","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fischer, Leah M.","contributorId":353074,"corporation":false,"usgs":false,"family":"Fischer","given":"Leah M.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":932828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":932829,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263237,"text":"70263237 - 2025 - The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis","interactions":[],"lastModifiedDate":"2025-02-03T16:00:18.361919","indexId":"70263237","displayToPublicDate":"2025-01-28T09:38:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis","docAbstract":"<p><span>Quantitative fatty acid signature analysis (QFASA) is a common method of estimating the composition of prey species in the diets of consumers from polar and temperate ecosystems in which lipids are an important source of energy. A key characteristic of QFASA is that the large number of fatty acids that typically comprise lipids permits the dietary contributions of a correspondingly large number of prey types to be estimated. Several modifications to the original QFASA methods have been suggested in the literature and a significant extension of the original model published in 2017 allows simultaneous estimation of both diet proportions and calibration coefficients, which are metabolic constants in the model whose values must otherwise be estimated in independent feeding experiments. However, comparisons of diet estimates obtained using different estimation options have been limited. QFASA has been used to estimate the diet composition of several polar bear (</span><i>Ursus maritimus</i><span>) subpopulations, including the Southern Beaufort Sea (SBS) subpopulation. Prior QFASA estimates of SBS polar bear diet composition have most often been obtained using variations of the original QFASA model. We investigated the influence of variations in QFASA analytical methods on diet estimates by re-estimating the diet composition of polar bears from the Alaska portion of the SBS using three different methods and found that differences among the three sets of estimates were substantial. Our results illustrate how important the careful and deliberate selection of QFASA methods can be and we provide some guidance on techniques one might use to evaluate options.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0308283","usgsCitation":"Bromaghin, J.F., Atwood, T.C., and Rode, K.D., 2025, The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis: PLoS ONE, v. 20, no. 1, e0308283, 15 p., https://doi.org/10.1371/journal.pone.0308283.","productDescription":"e0308283, 15 p.","ipdsId":"IP-162413","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":487613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0308283","text":"Publisher Index Page"},{"id":481610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":925982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":925983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":925984,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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