{"pageNumber":"88","pageRowStart":"2175","pageSize":"25","recordCount":184617,"records":[{"id":70263659,"text":"70263659 - 2025 - Spatial scale dependence of error in fractional component cover maps","interactions":[],"lastModifiedDate":"2025-02-19T15:38:44.136965","indexId":"70263659","displayToPublicDate":"2025-03-03T08:32:21","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":"Spatial scale dependence of error in fractional component cover maps","docAbstract":"<p><span>Geospatial products such as fractional vegetation cover maps often report overall, pixel-wise accuracy, but decision-making with these products often occurs at coarser scales. As such, data users often desire guidance on the appropriate spatial scale to apply these data. We worked toward establishing this guidance by assessing RCMAP (Rangeland Condition Monitoring Assessment and Projection) accuracy relative to a series of high-resolution predictions of component cover. We scale the 2-m and RCMAP predictions to various focal window sizes scales ranging from 30 to 1 500 m using focal averaging. We also evaluated variation in scaling effects on error at ecoregion and pasture (mean area of 1 050 ha) scales. Our results demonstrate increased accuracy at broader windows, across all components, and most increases in accuracy level off at ∼200–600 m scales. At the scale with highest accuracy, cross-component average correlation (</span><i>r</i><span>) increased by 6.5%, and root mean square error (RMSE) was reduced 46.4% relative to 30-m scale data. Scaling-related improvements to accuracy were greatest in components such as shrub and tree with more spatially heterogeneous cover and in ecoregions with more spatially heterogenous cover. When components were aggregated at the pasture scale,&nbsp;</span><i>r</i><span>&nbsp;increased 10% and RMSE decreased 34.3% on average relative to the 30-m scale. Our results provide empirical data on the scale dependence of error, which fractional cover data users may consider alongside their needs when using these data. Although the general principle remains that remotely sensed products are intended to address landscape-scale questions, our analysis indicates that applying data at finer than landscape spatial scales and grouping even a handful of pixels resulted in lowered error compared to pixel-level comparisons. Our results quantify the trade-offs between data granularity and error related to scale for fractional vegetation cover.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2025.01.004","usgsCitation":"Rigge, M.B., Bunde, B., McCord, S.E., Harrison, G., Assal, T.J., and Smith, J.L., 2025, Spatial scale dependence of error in fractional component cover maps: Rangeland Ecology & Management, v. 99, p. 77-87, https://doi.org/10.1016/j.rama.2025.01.004.","productDescription":"11 p.","startPage":"77","endPage":"87","ipdsId":"IP-167033","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":489837,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2025.01.004","text":"Publisher Index Page"},{"id":482211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.10352224242965,\n              48.780109887219425\n            ],\n            [\n              -125.10535497999196,\n              40.261524080431464\n            ],\n            [\n              -120.19844036504566,\n              33.54076957731398\n            ],\n            [\n              -110.34919181669402,\n              31.1726202258846\n            ],\n            [\n              -101.83038001679847,\n              30.617299074802702\n            ],\n            [\n              -99.5482123609311,\n              48.780109887219425\n            ],\n            [\n              -125.10352224242965,\n              48.780109887219425\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"99","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":927714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunde, Brett 0000-0003-0228-779X","orcid":"https://orcid.org/0000-0003-0228-779X","contributorId":288364,"corporation":false,"usgs":false,"family":"Bunde","given":"Brett","affiliations":[{"id":61731,"text":"KBR","active":true,"usgs":false}],"preferred":false,"id":927715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCord, Sarah E.","contributorId":195931,"corporation":false,"usgs":false,"family":"McCord","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":927716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison, Georgia","contributorId":351012,"corporation":false,"usgs":false,"family":"Harrison","given":"Georgia","affiliations":[{"id":51849,"text":"United States Department of Agriculture - Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":927717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Assal, Timothy J","contributorId":238085,"corporation":false,"usgs":false,"family":"Assal","given":"Timothy","email":"","middleInitial":"J","affiliations":[{"id":18142,"text":"Kent State University","active":true,"usgs":false}],"preferred":false,"id":927718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, James L.","contributorId":291335,"corporation":false,"usgs":false,"family":"Smith","given":"James","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":927719,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"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":70264764,"text":"70264764 - 2025 - A survey of mammal and fish genetic diversity across the global protected area network","interactions":[],"lastModifiedDate":"2025-03-24T15:26:38.353638","indexId":"70264764","displayToPublicDate":"2025-03-03T08:23:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"A survey of mammal and fish genetic diversity across the global protected area network","docAbstract":"<p><span>Global conservation targets aim to expand protected areas and maintain species’ genetic diversity. Whether protected areas capture genetic diversity is unclear. We examined this question using a global sample of nuclear population-level microsatellite data comprising genotypes from 2513 sites, 134,183 individuals, and 176 mammal and marine fish species. The genetic diversity and differentiation of samples inside and outside protected areas were similar, with some evidence for higher diversity in protected areas for small-bodied mammals. Mammal populations, particularly large species, tended to be more genetically diverse when near multiple protected areas, regardless of whether samples were collected in or outside protected areas. Older marine protected areas tended to capture more genetically diverse fish populations. However, limited data availability in many regions hinders the systematic incorporation of genetic diversity into protected area design. Focusing on minimizing population decline and maintaining connectivity between protected areas remain essential proxies for maintaining genetic diversity.</span></p>","language":"English","publisher":"The Society for Conservation Biology","doi":"10.1111/conl.13092","usgsCitation":"Schmidt, C., Karachaliou, E., Vandergast, A.G., Crandall, E.D., Falgout, J.T., Hunter, M., Kershaw, F., Leigh, D.M., O'Brien, D., Paz-Vinas, I., Segelbacher, G., and Garroway, C.J., 2025, A survey of mammal and fish genetic diversity across the global protected area network: Conservation Letters, v. 18, no. 2, e13092, 10 p., https://doi.org/10.1111/conl.13092.","productDescription":"e13092, 10 p.","ipdsId":"IP-162653","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488377,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/conl.13092","text":"Publisher Index Page"},{"id":483721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Chloe","contributorId":329610,"corporation":false,"usgs":false,"family":"Schmidt","given":"Chloe","affiliations":[{"id":62676,"text":"Department of Ecology and Evolutionary Biology, Yale University","active":true,"usgs":false}],"preferred":false,"id":931568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karachaliou, Eleana","contributorId":352516,"corporation":false,"usgs":false,"family":"Karachaliou","given":"Eleana","affiliations":[{"id":62682,"text":"Department of Biological Sciences, University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":931569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":931570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crandall, Eric D. 0000-0001-8580-3651","orcid":"https://orcid.org/0000-0001-8580-3651","contributorId":337181,"corporation":false,"usgs":false,"family":"Crandall","given":"Eric","email":"","middleInitial":"D.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":931571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falgout, Jeff T. 0000-0002-7108-477X jfalgout@usgs.gov","orcid":"https://orcid.org/0000-0002-7108-477X","contributorId":4957,"corporation":false,"usgs":true,"family":"Falgout","given":"Jeff","email":"jfalgout@usgs.gov","middleInitial":"T.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":931572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":207589,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":931573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kershaw, Francine","contributorId":260831,"corporation":false,"usgs":false,"family":"Kershaw","given":"Francine","email":"","affiliations":[{"id":52686,"text":"Natural Resources Defense Council, New York","active":true,"usgs":false}],"preferred":false,"id":931574,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leigh, Deborah M.","contributorId":291307,"corporation":false,"usgs":false,"family":"Leigh","given":"Deborah","email":"","middleInitial":"M.","affiliations":[{"id":62679,"text":"WSL Swiss Federal Research Institute","active":true,"usgs":false}],"preferred":false,"id":931575,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"O'Brien, David","contributorId":192192,"corporation":false,"usgs":false,"family":"O'Brien","given":"David","affiliations":[],"preferred":false,"id":931576,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Paz-Vinas, Ivan","contributorId":239614,"corporation":false,"usgs":false,"family":"Paz-Vinas","given":"Ivan","email":"","affiliations":[{"id":47934,"text":"Laboratoire Ecologie Fonctionnelle et Environnement, Université de Toulouse","active":true,"usgs":false}],"preferred":false,"id":931577,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Segelbacher, Gernot","contributorId":206584,"corporation":false,"usgs":false,"family":"Segelbacher","given":"Gernot","email":"","affiliations":[{"id":37345,"text":"University of Freiburg, Germany","active":true,"usgs":false}],"preferred":false,"id":931578,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Garroway, Colin J.","contributorId":329611,"corporation":false,"usgs":false,"family":"Garroway","given":"Colin","email":"","middleInitial":"J.","affiliations":[{"id":78674,"text":"Department of Biological Sciences, University of Manitoba, Canada","active":true,"usgs":false}],"preferred":false,"id":931579,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"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":70263177,"text":"70263177 - 2025 - Estimating agricultural irrigation water consumption for the High Plains aquifer region with integrated energy- and water-balance evapotranspiration modeling approaches","interactions":[],"lastModifiedDate":"2025-01-31T15:18:02.303715","indexId":"70263177","displayToPublicDate":"2025-03-03T08:10:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating agricultural irrigation water consumption for the High Plains aquifer region with integrated energy- and water-balance evapotranspiration modeling approaches","docAbstract":"<p><span>Estimation of irrigation water use provides essential information for the management and conservation of agricultural water resources. Conventionally, water use data are created based on reports and surveys from water users, whereas manual records may not be complete due to lacking flow meters, measurement gaps, inconsistent methods across regions, and time- and cost-consuming data processing. Alternatively, spatially explicit estimation of irrigation water use can be conducted efficiently using remote sensing evapotranspiration (ET) modeling approaches. In this study, we created a gridded blue water evapotranspiration (BWET) dataset to estimate historical irrigation water consumption (1986 – 2020) in the croplands across the United States High Plains aquifer region. The BWET data were generated by integrating an energy-balance ET model [Operational Simplified Surface Energy Balance model (SSEBop)] and a water-balance ET model [Vegetation ET model (VegET)]. BWET in croplands indicates crop consumptive use of irrigation water extracted from surface water and groundwater resources. The BWET estimates were compared with reported irrigation water use data for all counties within the aquifer region. The results revealed high agreement between growing season (May – September) BWET and annual water withdrawal at county level. Specifically, correlation coefficients of volumetric BWET and water withdrawal were 0.90 and 0.96, respectively, for the entire aquifer region and western Kansas. The timeseries of BWET and water withdrawal showed similar temporal trends and high covariations. The BWET estimates were systematically lower than the water withdrawal measurements, which was primarily attributed to blue water losses in the irrigation system. The irrigation efficiency, calculated as the ratio of BWET to water withdrawal depth, was 0.57 and 0.74 for the entire aquifer region and western Kansas, respectively. This study demonstrates the capability of using satellite-based ET models (e.g., SSEBop and VegET) to efficiently estimate crop water consumption and evaluate irrigation efficiency at landscape, county, and regional scales.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2025.109308","usgsCitation":"Ji, L., Senay, G.B., Friedrichs, M., and Kagone, S., 2025, Estimating agricultural irrigation water consumption for the High Plains aquifer region with integrated energy- and water-balance evapotranspiration modeling approaches: Agricultural Water Management, v. 309, 109308, 17 p., https://doi.org/10.1016/j.agwat.2025.109308.","productDescription":"109308, 17 p.","ipdsId":"IP-163904","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":489921,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agwat.2025.109308","text":"Publisher Index Page"},{"id":481548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, Wyoming","otherGeospatial":"High Plains","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-104.057698,44.997431],[-104.043814,45.868385],[-103.668479,45.945242],[-96.571871,45.871846],[-96.82616,45.654164],[-96.452315,45.208986],[-96.453049,43.500415],[-96.591213,43.500514],[-96.439335,43.113916],[-96.630311,42.770885],[-96.396107,42.484095],[-96.272901,42.047281],[-96.129186,41.965136],[-96.081843,41.580407],[-95.850188,41.184798],[-95.885349,40.721093],[-95.41932,40.048442],[-94.916918,39.836138],[-95.113077,39.559133],[-94.615834,39.160003],[-94.617919,36.499414],[-94.431822,35.397652],[-94.485528,33.663388],[-94.386086,33.544923],[-94.070395,33.574561],[-94.0427,32.056012],[-93.523248,31.037842],[-93.765822,30.333318],[-93.702436,30.112721],[-93.922744,29.818808],[-93.852868,29.675885],[-94.731047,29.369141],[-94.532348,29.5178],[-94.767246,29.525523],[-94.724616,29.774766],[-94.965963,29.70033],[-94.894234,29.338],[-95.16525,29.113566],[-94.73132,29.338066],[-94.803695,29.279237],[-96.341617,28.417334],[-95.983106,28.641942],[-96.221784,28.580364],[-96.287942,28.683164],[-96.473694,28.57324],[-96.664534,28.696904],[-96.481836,28.407844],[-96.790235,28.383926],[-96.898123,28.152881],[-97.21535,28.076575],[-97.040618,28.028708],[-97.183455,27.833231],[-97.354614,27.849572],[-97.296598,27.613947],[-97.399398,27.344735],[-97.640111,27.270943],[-97.485149,27.250841],[-97.552325,26.867633],[-97.145567,25.971132],[-97.36542,25.849826],[-99.110855,26.426278],[-99.452316,27.062669],[-99.556812,27.614336],[-99.841708,27.766464],[-100.280518,28.267969],[-100.785521,29.228137],[-101.441059,29.753451],[-102.341033,29.869305],[-102.698347,29.695591],[-102.944911,29.18882],[-103.227801,28.991532],[-104.46652,29.609296],[-104.924796,30.604832],[-106.158218,31.438885],[-106.381039,31.73211],[-108.208394,31.783599],[-108.208573,31.333395],[-109.050044,31.332502],[-109.050076,41.000659],[-111.046723,40.997959],[-111.055199,45.001321],[-104.057698,44.997431]]],[[[-97.240849,26.411504],[-97.383531,26.875521],[-97.366771,27.333276],[-96.946988,28.026522],[-96.403206,28.371475],[-96.929053,27.99044],[-97.276091,27.472145],[-97.370731,26.909706],[-97.161471,26.088705],[-97.240849,26.411504]]]]},\"properties\":{\"name\":\"Colorado\",\"nation\":\"USA  \"}}]}","volume":"309","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ji, Lei 0000-0002-6133-1036","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":272078,"corporation":false,"usgs":false,"family":"Ji","given":"Lei","affiliations":[{"id":56342,"text":"ASRC Federal Data Solutions, Contractor to USGS Earth Resources Observation and Science Center","active":true,"usgs":false}],"preferred":false,"id":925791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":925792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedrichs, MacKenzie 0000-0002-9602-321X","orcid":"https://orcid.org/0000-0002-9602-321X","contributorId":199093,"corporation":false,"usgs":false,"family":"Friedrichs","given":"MacKenzie","affiliations":[],"preferred":false,"id":925793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":199091,"corporation":false,"usgs":false,"family":"Kagone","given":"Stefanie","affiliations":[],"preferred":false,"id":925794,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264065,"text":"70264065 - 2025 - Cytotype and local adaptation drive phenotypic variation in two subspecies of big sagebrush (Artemisia tridentata)","interactions":[],"lastModifiedDate":"2025-03-27T13:18:10.215524","indexId":"70264065","displayToPublicDate":"2025-03-03T07:54:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Cytotype and local adaptation drive phenotypic variation in two subspecies of big sagebrush (<i>Artemisia tridentata</i>)","title":"Cytotype and local adaptation drive phenotypic variation in two subspecies of big sagebrush (Artemisia tridentata)","docAbstract":"<p><span>Big sagebrush (</span><i>Artemisia tridentata</i><span>) is a widespread and locally dominant shrub throughout many ecosystems in western North America.&nbsp;</span><i>A. tridentata</i><span>&nbsp;ssps.&nbsp;</span><i>tridentata</i><span>&nbsp;and&nbsp;</span><i>wyomingensis</i><span>&nbsp;are two subspecies whose populations occupy the warm-arid regions of the species range and whose trailing edge is threatened by climate change. Previous studies have presented conflicting results in relation to the genetic control of physiological variation in&nbsp;</span><i>A. tridentata</i><span>. Understanding how different genetic factors contribute to physiological variation can provide insight into how these two subspecies may respond to future climate change. To explore possible variation among and within two subspecies of&nbsp;</span><i>A. tridentata</i><span>, we measured physiological and morphological traits in&nbsp;</span><i>A</i><span>.&nbsp;</span><i>t</i><span>.&nbsp;</span><i>tridentata</i><span>&nbsp;and&nbsp;</span><i>A. t. wyomingensis</i><span>&nbsp;during mid-summer (July), seven years after establishment in a common garden. Contributions to trait variation were quantified for both genetic (subspecies and cytotype) and environmental (climate-of-origin) factors. Measurements revealed an unequal contribution to phenotypic variation by subspecies, cytotype, and climate-of-origin. Ploidy and climate-of-origin were more important than subspecies in driving phenotypic variation in&nbsp;</span><i>A. tridentata.</i><span>&nbsp;These findings suggest that&nbsp;</span><i>A. tridentata</i><span>&nbsp;has a highly plastic drought response, or that culling (mortality over time due to environmental factors) in the common garden over seven years has led to a lack of genetic diversity within the garden. Understanding what factors drive phenotypic expression in big sagebrush can provide better insight into how climate change may affect migration and extirpation and may aid in the effectiveness of restoration efforts.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70206","usgsCitation":"Roop, S., Reinhardt, K., Aho, K.A., Germino, M., and Richardson, B.A., 2025, Cytotype and local adaptation drive phenotypic variation in two subspecies of big sagebrush (Artemisia tridentata): Ecosphere, v. 16, no. 3, e70206, 16 p., https://doi.org/10.1002/ecs2.70206.","productDescription":"e70206, 16 p.","ipdsId":"IP-160315","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":487453,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70206","text":"Publisher Index 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,{"id":70264422,"text":"70264422 - 2025 - Leveraging high-frequency sensor data and U.S. National Water Model output to forecast turbidity in a drinking water supply basin","interactions":[],"lastModifiedDate":"2025-03-14T14:59:53.935548","indexId":"70264422","displayToPublicDate":"2025-03-03T07:53:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7168,"text":"Journal of the American Water Resources Association (JAWRA)","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging high-frequency sensor data and U.S. National Water Model output to forecast turbidity in a drinking water supply basin","docAbstract":"<p><span>As high-frequency sensor networks increasingly enhance data-driven models of water quality, process-based models like the U.S. National Water Model (NWM) are generating accessible forecasts of streamflow at increasingly dense scales. There is now an opportunity to combine these products to construct actionable water quality forecasts. To that end, we couple streamflow forecasts from the NWM to a gradient-boosted decision tree algorithm (LightGBM) trained on 5+ years of high-frequency monitoring data to forecast in-stream turbidity levels in the Catskill Mountains, NY, USA. Results indicate LightGBM models are capable of relatively skillful predictions, which enable robust forecasts for 1–3 days lead times. LightGBM models offer improvements over a simplified linear model across the entire forecast horizon, and more spatially complex models are more resilient to error at shorter lead times (1–3 days). Moreover, interpretation of model features emphasizes high flows as a driver of turbidity in the region. Results suggest that interpretable, flexible, and efficient machine learning algorithms can produce capable water quality forecasts from streamflow forecasts and expand understanding of process dynamics. The use case illustrated here—to our knowledge the first NWM-based water quality forecast—underscores the potential to employ the NWM to expand national water quality forecasting capacity and can overall serve as a guide for similar efforts in basins across the country.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.70011","usgsCitation":"Kemper, J.T., Underwood, K.L., Hamshaw, S.D., Davis, D., Siemion, J., Shanley, J.B., and Schroth, A.W., 2025, Leveraging high-frequency sensor data and U.S. National Water Model output to forecast turbidity in a drinking water supply basin: Journal of the American Water Resources Association (JAWRA), v. 61, no. 2, e70011, 20 p., https://doi.org/10.1111/1752-1688.70011.","productDescription":"e70011, 20 p.","ipdsId":"IP-165362","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":488305,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.70011","text":"Publisher Index Page"},{"id":483342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Catskill Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.54611692479963,\n              42.29523893577249\n            ],\n            [\n              -74.54611692479963,\n              42.01259179761368\n            ],\n            [\n              -74.01248762206035,\n              42.01259179761368\n            ],\n            [\n              -74.01248762206035,\n              42.29523893577249\n            ],\n            [\n              -74.54611692479963,\n              42.29523893577249\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"61","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kemper, John T.","contributorId":270040,"corporation":false,"usgs":false,"family":"Kemper","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":930705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Underwood, Kristen L. 0000-0003-3008-3057","orcid":"https://orcid.org/0000-0003-3008-3057","contributorId":340200,"corporation":false,"usgs":false,"family":"Underwood","given":"Kristen","email":"","middleInitial":"L.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":930706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hamshaw, Scott Douglas 0000-0002-0583-4237","orcid":"https://orcid.org/0000-0002-0583-4237","contributorId":305601,"corporation":false,"usgs":true,"family":"Hamshaw","given":"Scott","email":"","middleInitial":"Douglas","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":930707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Dany","contributorId":352304,"corporation":false,"usgs":false,"family":"Davis","given":"Dany","affiliations":[{"id":84168,"text":"NYC Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":930708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siemion, Jason 0000-0001-5635-6469 jsiemion@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-6469","contributorId":127562,"corporation":false,"usgs":true,"family":"Siemion","given":"Jason","email":"jsiemion@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930709,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930710,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schroth, Andrew W.","contributorId":192042,"corporation":false,"usgs":false,"family":"Schroth","given":"Andrew","email":"","middleInitial":"W.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":930711,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261961,"text":"70261961 - 2025 - Prioritization of research on drought assessment in a changing climate","interactions":[],"lastModifiedDate":"2025-03-12T14:51:19.950323","indexId":"70261961","displayToPublicDate":"2025-03-02T09:37:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Prioritization of research on drought assessment in a changing climate","docAbstract":"<p><span>Drought is a period of abnormally dry weather that leads to hydrological imbalance. Drought assessments determine the characteristics, severity, and impacts of a drought. Climate change adds conceptual and quantitative challenges to traditional drought assessments. This paper highlights the challenges of assessing drought in a climate made non-stationary by human activities or natural variability. To address these challenges, we then identify 10 key research priorities for advancing drought science and improving assessments in a changing climate. The priorities focus on improving drought indicators to account for non-stationarity, evaluating drought impacts and their trends, addressing regional differences in non-stationarity, determining the physical drivers of drought and how they are changing, capturing precipitation variability, and understanding the drivers of aridification. Ultimately, improved drought assessments will inform better risk management, adaptation strategies, and planning, especially in areas where climate change significantly alters drought dynamics. This perspective offers a path toward more accurate and effective drought management in a non-stationary climate system.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024EF005276","usgsCitation":"Lisonbee, J., Parker, B., Fleishman, E., Ford, T., Bocinsky, R., Follingstad, G., Frazier, A., Hoylman, Z., Hudson, A., Nielsen-Gammon, J., Umphlett, N., Elliot Wickham, Bamzai-Dodson, A., Fontenot, R., Fuchs, B., Hammond, J., Herrick, J., Hobbins, M., Hoell, A., Jones, J., Lane, E., Leasor, Z., Liu, Y., Otkin, J., Sheffield, A., Todey, D., and Pulwarty, R., 2025, Prioritization of research on drought assessment in a changing climate: Earth's Future, v. 13, no. 3, e2024EF005276, 21 p., https://doi.org/10.1029/2024EF005276.","productDescription":"e2024EF005276, 21 p.","ipdsId":"IP-165309","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":487949,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024ef005276","text":"Publisher Index Page"},{"id":483235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lisonbee, Joel","contributorId":347776,"corporation":false,"usgs":false,"family":"Lisonbee","given":"Joel","affiliations":[{"id":83232,"text":"Cooperative Institute for Research in the  Environmental Sciences (CIRES), University of Colorado Boulder, and NOAA/National Integrated Drought Information System, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":922436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Britt","contributorId":347777,"corporation":false,"usgs":false,"family":"Parker","given":"Britt","affiliations":[{"id":83233,"text":"NOAA National Integrated Drought Information System, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":922437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleishman, Erica","contributorId":347778,"corporation":false,"usgs":false,"family":"Fleishman","given":"Erica","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":922438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, Trent","contributorId":347779,"corporation":false,"usgs":false,"family":"Ford","given":"Trent","affiliations":[{"id":83235,"text":"Illinois State Water Survey, Prairie Research Institute, University of Illinois, Urbana-Champaign, Champaign, Illinois","active":true,"usgs":false}],"preferred":false,"id":922439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bocinsky, R. Kyle","contributorId":347780,"corporation":false,"usgs":false,"family":"Bocinsky","given":"R. Kyle","affiliations":[{"id":83236,"text":"Montana Climate Office, W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, Montana 59812","active":true,"usgs":false}],"preferred":false,"id":922440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Follingstad, Gretel","contributorId":347781,"corporation":false,"usgs":false,"family":"Follingstad","given":"Gretel","affiliations":[{"id":83232,"text":"Cooperative Institute for Research in the  Environmental Sciences (CIRES), University of Colorado Boulder, and NOAA/National Integrated Drought Information System, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":922441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Frazier, Abby G.","contributorId":347782,"corporation":false,"usgs":false,"family":"Frazier","given":"Abby G.","affiliations":[{"id":83237,"text":"Clark University, Graduate School of Geography, Worcester, MA USA","active":true,"usgs":false}],"preferred":false,"id":922442,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hoylman, Zachary H.","contributorId":347783,"corporation":false,"usgs":false,"family":"Hoylman","given":"Zachary H.","affiliations":[{"id":83236,"text":"Montana Climate Office, W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, Montana 59812","active":true,"usgs":false}],"preferred":false,"id":922443,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hudson, Amy R.","contributorId":347784,"corporation":false,"usgs":false,"family":"Hudson","given":"Amy R.","affiliations":[{"id":83238,"text":"USDA-ARS, Center for Grain and Animal Health Research, Manhattan, KS","active":true,"usgs":false}],"preferred":false,"id":922444,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nielsen-Gammon, John W.","contributorId":347785,"corporation":false,"usgs":false,"family":"Nielsen-Gammon","given":"John W.","affiliations":[{"id":83239,"text":"Dept. of Atmospheric Sciences, Texas A&M University, College Station, Texas","active":true,"usgs":false}],"preferred":false,"id":922445,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Umphlett, Natalie A.","contributorId":347786,"corporation":false,"usgs":false,"family":"Umphlett","given":"Natalie A.","affiliations":[{"id":83240,"text":"Northeast Regional Climate Center, Cornell University","active":true,"usgs":false}],"preferred":false,"id":922446,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Elliot Wickham","contributorId":347787,"corporation":false,"usgs":false,"family":"Elliot Wickham","affiliations":[{"id":83241,"text":"South Carolina Department of Natural Resources - S.C. State Climatology Office","active":true,"usgs":false}],"preferred":false,"id":922447,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bamzai-Dodson, Aparna 0000-0002-2444-9051","orcid":"https://orcid.org/0000-0002-2444-9051","contributorId":303866,"corporation":false,"usgs":true,"family":"Bamzai-Dodson","given":"Aparna","email":"","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":922448,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fontenot, Royce","contributorId":347788,"corporation":false,"usgs":false,"family":"Fontenot","given":"Royce","affiliations":[{"id":83242,"text":"NOAA/NWS National Water Center","active":true,"usgs":false}],"preferred":false,"id":922449,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Fuchs, 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Los Angeles","active":true,"usgs":false}],"preferred":false,"id":922455,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Lane, Erin","contributorId":347794,"corporation":false,"usgs":false,"family":"Lane","given":"Erin","affiliations":[{"id":83247,"text":"USDA Northeast Climate Hub","active":true,"usgs":false}],"preferred":false,"id":922456,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Leasor, Zack","contributorId":347795,"corporation":false,"usgs":false,"family":"Leasor","given":"Zack","affiliations":[{"id":83248,"text":"Missouri Climate Center, University of Missouri, Columbia, MO, USA","active":true,"usgs":false}],"preferred":false,"id":922457,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Liu, Yongqiang","contributorId":347796,"corporation":false,"usgs":false,"family":"Liu","given":"Yongqiang","affiliations":[{"id":83249,"text":"Center for Forest Disturbance Science,USDA Forest 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USA","active":true,"usgs":false}],"preferred":false,"id":922460,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Todey, Dennis","contributorId":347799,"corporation":false,"usgs":false,"family":"Todey","given":"Dennis","affiliations":[{"id":83251,"text":"USDA-ARS Climate Hubs","active":true,"usgs":false}],"preferred":false,"id":922461,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Pulwarty, Roger","contributorId":212144,"corporation":false,"usgs":false,"family":"Pulwarty","given":"Roger","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":922462,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}}
,{"id":70267497,"text":"70267497 - 2025 - The effects of unpaved roads on instream sediment: Patterns and challenges for monitoring","interactions":[],"lastModifiedDate":"2025-05-28T14:35:05.649999","indexId":"70267497","displayToPublicDate":"2025-03-02T09:28:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"The effects of unpaved roads on instream sediment: Patterns and challenges for monitoring","docAbstract":"<p><span>Despite &gt; 700,000 km of unpaved roads in the western United States, our knowledge of how roads impact instream sediment is unclear. We combined two studies, including (1) a regional analysis linking stream habitat data from a large-scale monitoring program with road density data to identify generalizable relationships between roads and streambed sediment distributions and (2) a targeted field study to evaluate the responses of streambed and suspended sediment collected at locations above and below road–stream connection points to better understand the consistency of responses. Regional analyses indicated a significant positive relationship between road density and fine sediment in pool tails and a significant negative relationship between road density and median particle size. We also found significant relationships between landscape, climate, and local covariates and streambed sediment metrics, where most of the parameter estimates of the covariates were equal to or stronger than those for road density. Field studies suggested higher suspended sediment levels across the seasonal hydrologic regime where roads were open to travel year-round. However, sediment responses to road–stream connection points varied by metric and site. Together, our results indicated negative relationships between increasing road densities and sediment size distributions, but detecting road effects at site scales will be challenging given the effects of covariates that can overwhelm sediment signals.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.70006","usgsCitation":"Al-Chokhachy, R., Poole, G.C., Thomas, C., Saunders, C., Roper, B.B., Hendrickson, S., Davis, C., Crapster, K., and Archer, E., 2025, The effects of unpaved roads on instream sediment: Patterns and challenges for monitoring: Journal of the American Water Resources Association, v. 61, no. 2, e70006, 15 p., https://doi.org/10.1111/1752-1688.70006.","productDescription":"e70006, 15 p.","ipdsId":"IP-160173","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":490157,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.70006","text":"Publisher Index Page"},{"id":486641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.97377754888683,\n              48.270005185200375\n            ],\n            [\n              -113.97377754888683,\n              46.72675801221189\n            ],\n            [\n              -112.14423334891903,\n              46.72675801221189\n            ],\n            [\n              -112.14423334891903,\n              48.270005185200375\n            ],\n            [\n              -113.97377754888683,\n              48.270005185200375\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"61","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":211560,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":938425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poole, Geoffrey C.","contributorId":179213,"corporation":false,"usgs":false,"family":"Poole","given":"Geoffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":938427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Cameron","contributorId":173470,"corporation":false,"usgs":false,"family":"Thomas","given":"Cameron","email":"","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":938431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saunders, Carl","contributorId":348139,"corporation":false,"usgs":false,"family":"Saunders","given":"Carl","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":938428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roper, Brett B.","contributorId":120701,"corporation":false,"usgs":false,"family":"Roper","given":"Brett","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":938429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hendrickson, Shane","contributorId":173474,"corporation":false,"usgs":false,"family":"Hendrickson","given":"Shane","email":"","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":938430,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, Cory","contributorId":244332,"corporation":false,"usgs":false,"family":"Davis","given":"Cory","email":"","affiliations":[{"id":48893,"text":"Meteorological Service of New Zealand","active":true,"usgs":false}],"preferred":false,"id":938432,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crapster, Kyle","contributorId":255674,"corporation":false,"usgs":false,"family":"Crapster","given":"Kyle","email":"","affiliations":[],"preferred":false,"id":938426,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Archer, Eric","contributorId":167603,"corporation":false,"usgs":false,"family":"Archer","given":"Eric","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":938433,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70267296,"text":"70267296 - 2025 - Genetics of wild, whirling disease resistant rainbow trout populations in Colorado","interactions":[],"lastModifiedDate":"2025-05-20T16:27:40.499928","indexId":"70267296","displayToPublicDate":"2025-03-02T09:21:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18328,"text":"Frontiers in Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Genetics of wild, whirling disease resistant rainbow trout populations in Colorado","docAbstract":"<p>Introduction: <i>Myxobolus cerebralis</i><span>, the parasite responsible for salmonid whirling disease, was unintentionally introduced to and became established in Colorado in the 1990s. Mortality of young-of-year fish due to infection by&nbsp;</span><i>M. cerebralis</i><span>&nbsp;resulted in recruitment failure and subsequent significant declines in Rainbow Trout (</span><i>Oncorhynchus mykiss</i><span>) populations. The complex multistage lifecycle of&nbsp;</span><i>M. cerebralis</i><span>&nbsp;makes it difficult to eradicate and manage, and hatchery control strategies do not work in the wild. A viable method that has been utilized for wild populations is enhancing host resistance.&nbsp;</span><i>Myxobolus cerebralis</i><span>&nbsp;resistant Rainbow Trout were discovered at a hatchery in Germany and subsequently incorporated into Colorado's brood stock program. Since 2004,&nbsp;</span><i>M. cerebralis</i><span>&nbsp;resistant strains have been stocked into all major Colorado coldwater drainages to re-establish Rainbow Trout populations after whirling disease-related declines, with documented survival and reproduction of stocked disease resistant fish.</span></p><p>Methods and results: <span>Genetic population assignment tests (via putatively neutral microsatellite markers) were used to monitor the stocked populations and indicated that, after only a few years, many of the individuals in these populations unexpectedly assigned to genetic strains that were historically susceptible to&nbsp;</span><i>M. cerebralis</i><span>. To further investigate the genetic composition of these fish, a single nucleotide polymorphism (SNP) panel was used to determine the percent genetic composition of resistant strain in these individuals. Microsatellites and SNPs provided similar results, indicating a low percentage of ancestry from the resistant strain in these fish, but they continued to survive exposure to&nbsp;</span><i>M. cerebralis</i><span>, suggesting that these individuals possessed genetic loci necessary for resistance. Finally, a quantitative trait locus (QTL) region (termed WDRES-9) was used to identify individuals with alleles associated with disease resistance. Implementation of the WDRES-9 QTL test allowed for more accurate determination of&nbsp;</span><i>M. cerebralis</i><span>&nbsp;resistant individuals within wild populations and better described their variability in resistance.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/ffwsc.2025.1500903","usgsCitation":"Avila, B., Fetherman, E., Winkelman, D.L., and Baerwald, M.R., 2025, Genetics of wild, whirling disease resistant rainbow trout populations in Colorado: Frontiers in Freshwater Science, v. 3, 1500903, 13 p., https://doi.org/10.3389/ffwsc.2025.1500903.","productDescription":"1500903, 13 p.","ipdsId":"IP-172851","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffwsc.2025.1500903","text":"Publisher Index Page"},{"id":486232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Parshall","otherGeospatial":"upper Colorado River, Windy Gap Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.18116558688932,\n              40.10872906006077\n            ],\n            [\n              -106.18116558688932,\n              40.0474778427253\n            ],\n            [\n              -105.97093255037,\n              40.0474778427253\n            ],\n            [\n              -105.97093255037,\n              40.10872906006077\n            ],\n            [\n              -106.18116558688932,\n              40.10872906006077\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Avila, Brian W.","contributorId":338191,"corporation":false,"usgs":false,"family":"Avila","given":"Brian W.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":937655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fetherman, Eric R.","contributorId":288704,"corporation":false,"usgs":false,"family":"Fetherman","given":"Eric R.","affiliations":[{"id":36246,"text":"CPW","active":true,"usgs":false}],"preferred":false,"id":937656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":937657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baerwald, Melinda R.","contributorId":171890,"corporation":false,"usgs":false,"family":"Baerwald","given":"Melinda","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":937658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273978,"text":"70273978 - 2025 - Thamnophis eques megalops (Northern Mexican Gartersnake). Longevity","interactions":[],"lastModifiedDate":"2026-02-23T17:37:38.344922","indexId":"70273978","displayToPublicDate":"2025-03-01T11:31:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<i>Thamnophis eques megalops</i> (Northern Mexican Gartersnake). Longevity","title":"Thamnophis eques megalops (Northern Mexican Gartersnake). Longevity","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Ryan, M.J., Goode, M., Pawlicki, A., Bauder, J.M., Foster, C.D., Renner, D., Lawrence, B., 2025, Thamnophis eques megalops (Northern Mexican Gartersnake). Longevity: Herpetological Review, v. 56, no. 1, p. 109-110.","productDescription":"2 p.","startPage":"109","endPage":"110","ipdsId":"IP-173680","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Mason J","contributorId":366475,"corporation":false,"usgs":false,"family":"Ryan","given":"Mason","middleInitial":"J","affiliations":[{"id":87489,"text":"Arizona Game & Fish Department","active":true,"usgs":false}],"preferred":false,"id":955971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goode, Matt","contributorId":360487,"corporation":false,"usgs":false,"family":"Goode","given":"Matt","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":955972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pawlicki, Anthony","contributorId":360484,"corporation":false,"usgs":false,"family":"Pawlicki","given":"Anthony","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":955973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":955974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foster, C. Drew","contributorId":366476,"corporation":false,"usgs":false,"family":"Foster","given":"C.","middleInitial":"Drew","affiliations":[{"id":87491,"text":"Arizona Center for Nature Conservation/ Phoenix Zoo","active":true,"usgs":false}],"preferred":false,"id":955975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Renner, Damien","contributorId":366477,"corporation":false,"usgs":false,"family":"Renner","given":"Damien","affiliations":[{"id":87491,"text":"Arizona Center for Nature Conservation/ Phoenix Zoo","active":true,"usgs":false}],"preferred":false,"id":955976,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lawrence, Bradley","contributorId":366478,"corporation":false,"usgs":false,"family":"Lawrence","given":"Bradley","affiliations":[{"id":87491,"text":"Arizona Center for Nature Conservation/ Phoenix Zoo","active":true,"usgs":false}],"preferred":false,"id":955977,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273327,"text":"70273327 - 2025 - Actinemys pallida (Southwestern Pond Turtle). Mechanical injury","interactions":[],"lastModifiedDate":"2026-02-27T16:13:48.759728","indexId":"70273327","displayToPublicDate":"2025-03-01T10:05:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Actinemys pallida (Southwestern Pond Turtle). Mechanical injury","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Louros, A.J., Williams, S.J., Baumberger, K.L., Heath, J.N., Hollingsworth, G.L., Gallegos, E., Backlin, A.R., and Fisher, R.D., 2025, Actinemys pallida (Southwestern Pond Turtle). Mechanical injury: Herpetological Review, v. 56, no. 1, p. 65-66.","productDescription":"2 p.","startPage":"65","endPage":"66","ipdsId":"IP-174326","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.47122095135506,\n              33.47331762170087\n            ],\n            [\n              -117.47122095135506,\n              33.47030117171062\n            ],\n            [\n              -117.46617514037251,\n              33.47030117171062\n            ],\n            [\n              -117.46617514037251,\n              33.47331762170087\n            ],\n            [\n              -117.47122095135506,\n              33.47331762170087\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Louros, Andrew John 0009-0009-1052-5453","orcid":"https://orcid.org/0009-0009-1052-5453","contributorId":364868,"corporation":false,"usgs":true,"family":"Louros","given":"Andrew","middleInitial":"John","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Spencer James 0009-0006-2062-5114","orcid":"https://orcid.org/0009-0006-2062-5114","contributorId":364869,"corporation":false,"usgs":true,"family":"Williams","given":"Spencer","middleInitial":"James","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baumberger, Katherine L. 0000-0002-2150-6372 kbaumberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2150-6372","contributorId":225260,"corporation":false,"usgs":true,"family":"Baumberger","given":"Katherine","email":"kbaumberger@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heath, Jared Nicholas 0009-0002-5901-3562","orcid":"https://orcid.org/0009-0002-5901-3562","contributorId":364870,"corporation":false,"usgs":true,"family":"Heath","given":"Jared","middleInitial":"Nicholas","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hollingsworth, Gage L.","contributorId":364871,"corporation":false,"usgs":false,"family":"Hollingsworth","given":"Gage","middleInitial":"L.","affiliations":[{"id":86999,"text":"White Mountain Apache Tribe","active":true,"usgs":false}],"preferred":false,"id":953353,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallegos, Elizabeth 0000-0002-8402-2631 egallegos@usgs.gov","orcid":"https://orcid.org/0000-0002-8402-2631","contributorId":1528,"corporation":false,"usgs":true,"family":"Gallegos","given":"Elizabeth","email":"egallegos@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953354,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953355,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Robert D. 0000-0002-2956-3240 rdfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":3913,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rdfisher@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953356,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70273360,"text":"70273360 - 2025 - Aspidoscelis tigris (Tiger Whiptail). Diet","interactions":[],"lastModifiedDate":"2026-02-27T16:03:57.382156","indexId":"70273360","displayToPublicDate":"2025-03-01T09:58:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Aspidoscelis tigris (Tiger Whiptail). Diet","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Williams, S.J., Louros, A.J., and Fisher, R.D., 2025, Aspidoscelis tigris (Tiger Whiptail). Diet: Herpetological Review, v. 56, no. 1, p. 77-77.","productDescription":"1 p.","startPage":"77","endPage":"77","ipdsId":"IP-174343","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Orange County","otherGeospatial":"Agua Chinon Wash","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.68075608102642,\n              33.7003326722768\n            ],\n            [\n              -117.68757985451833,\n              33.7003326722768\n            ],\n            [\n              -117.68757985451833,\n              33.69356173119685\n            ],\n            [\n              -117.68075608102642,\n              33.69356173119685\n            ],\n            [\n              -117.68075608102642,\n              33.7003326722768\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Spencer James 0009-0006-2062-5114","orcid":"https://orcid.org/0009-0006-2062-5114","contributorId":364869,"corporation":false,"usgs":true,"family":"Williams","given":"Spencer","middleInitial":"James","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Louros, Andrew John 0009-0009-1052-5453","orcid":"https://orcid.org/0009-0009-1052-5453","contributorId":364868,"corporation":false,"usgs":true,"family":"Louros","given":"Andrew","middleInitial":"John","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert D. 0000-0002-2956-3240 rdfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":3913,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rdfisher@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953439,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265239,"text":"70265239 - 2025 - Watershed hydrology assessment for the Nueces River basin–Appendix D, RiverWare analyses","interactions":[],"lastModifiedDate":"2025-04-07T15:12:31.587121","indexId":"70265239","displayToPublicDate":"2025-03-01T09:58:03","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Watershed hydrology assessment for the Nueces River basin–Appendix D, RiverWare analyses","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Interagency Flood Risk Management (InFRM)","usgsCitation":"Wallace, D., 2025, Watershed hydrology assessment for the Nueces River basin–Appendix D, RiverWare analyses, 71 p.","productDescription":"71 p.","ipdsId":"IP-151264","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":484249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":484169,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://webapps.usgs.gov/infrm/"}],"country":"United States","state":"Texas","otherGeospatial":"Nueces River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.48516111849933,\n              28.602627339567448\n            ],\n            [\n              -98.48516111849933,\n              27.684996006363292\n            ],\n            [\n              -97.23485178601354,\n              27.684996006363292\n            ],\n            [\n              -97.23485178601354,\n              28.602627339567448\n            ],\n            [\n              -98.48516111849933,\n              28.602627339567448\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wallace, David 0000-0002-9134-8197","orcid":"https://orcid.org/0000-0002-9134-8197","contributorId":220786,"corporation":false,"usgs":true,"family":"Wallace","given":"David","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932583,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70275008,"text":"70275008 - 2025 - Quantifying sea otter abundance, distribution, habitat use, and foraging intake in Cook Inlet, Alaska","interactions":[],"lastModifiedDate":"2026-04-10T15:08:45.046416","indexId":"70275008","displayToPublicDate":"2025-03-01T09:55:18","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5709,"text":"OCS Study","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"BOEM 2025-019","title":"Quantifying sea otter abundance, distribution, habitat use, and foraging intake in Cook Inlet, Alaska","docAbstract":"<p>Following near extirpation from the fur trade, sea otters (<i>Enhydra lutris</i>) have returned to occupy lower Cook Inlet since the 1950s, or earlier, with numbers increasing to ~11,000 and ~9,000 on the west and east side, respectively, by 2017. Northward range expansion on the west side has been negligible for decades with few animals found north of Kamishak Bay, while northward expansion on the east side has been more pronounced in recent decades. The reasons for these contrasting distribution patterns are not certain. Possible explanations for lack of expansion on the west side included 1) poor sea otter habitat north of Kamishak Bay; 2) adequate habitat north of Kamishak Bay but no incentive for sea otters to move north because of abundant food in Kamishak Bay, and/or sea otters discouraged from moving north of Kamishak Bay; 3) seasonal ice formation; or 4) seasonal presence of killer whales. This project was designed to document current sea otter abundance and distribution in lower Cook Inlet, including seasonal variation, and evaluate drivers of habitat use and foraging conditions, including how these overlap with Bureau of Ocean Energy Management (BOEM) Lease Sale blocks.&nbsp;</p><p>We found that the probability of sea otter presence in lower Cook Inlet was significantly related to depth and distance from shore with the highest probabilities of sea otter presence in areas ~7–8 kilometers (km) from shore in water ~20–30 meters (m) deep. Historical survey data suggest sea otter distribution has not changed dramatically since 2002, and while we detected significant seasonal changes including due to presence of heavy sea ice, the seasonal changes were modest and primarily related to locations with consistent winter ice formation on the west side of lower Cook Inlet. Overall, throughout the year, sea otters appeared to be utilizing most of the habitat within the 40-m depth contour on the east side of lower Cook Inlet, including Kachemak Bay. Sea otters on the west side reside largely within Kamishak Bay. Because of the shallow bathymetry of lower Cook Inlet, sea otters consistently occurred farther offshore than in many other areas of Alaska. The presence of sea otters, including females with pups, in these offshore waters indicates that sea otters can forage productively in these open water areas. Importantly, we documented that sea otters, including females with pups, occurred in most of the eastern BOEM lease blocks including the original Lease Sale 244 blocks 7064, 7114, 6162, 6310, 6360, 6410, 6458 and 6457. The relinquishments for these 7 leases were effective September 17, 2024: OCS-Y-02434 (block # 7064), OCS-Y-02435 (7114), OCS-Y-02436 (6162), OCS-Y-02438 (6357), OCS-Y-02442 (6407), OCS-Y02446 (6457), OCS-Y-02447 (6458) https://www.boem.gov/sites/default/files/documents/environment/Map%20of%20Active%20Leases%20 Cook%20Inlet%20OCS_0.pdf&nbsp;</p><p>Regarding differential northward expansion on the east and west side of lower Cook Inlet, we found that wind and water circulation patterns make winter sea ice more prominent on the west side, but this had minimal effects on sea otter distribution. In addition, although there have been observations of killer whale (<i>Orcinus orca</i>) predation on sea otters in Cook Inlet, we did not see behavioral or distributional evidence that it was prevalent enough to have strong effects on sea otter habitat use. Benthic surveys using a remotely operated vehicle (ROV) indicated that epibenthic substrate and biological community heterogeneity differed between areas with and without otters, suggesting that these factors may explain the current distribution of otters within lower Cook Inlet. However, ROV surveys cannot assess infaunal prey abundance, making assessments of the role of prey availability difficult. The existence of a healthy Pacific razor clam (<i>Siliqua patula</i>) fishery along western lower Cook Inlet along the Lake Clark coast north of Kamishak Bay suggests there may still be a resource base for eventual expansion of sea otters into this area.&nbsp;</p><p>Our shore-based forage observations indicated that sea otters exist near carrying capacity densities relative to nearshore prey resources. However, our distribution model suggests the bulk of the population lives offshore beyond our ability to observe their feeding activity. The fact that sea otters are a consistent presence in offshore areas suggests that prey resources in these areas were relatively abundant in comparison to nearshore prey resources, making foraging in offshore areas, with water depths of 0–40 m, energetically profitable. Prey types in these offshore areas of lower Cook Inlet likely included epifauna such as crabs and large urchins, in addition to infaunal clams based on the soft substrate habitat types that characterize lower Cook Inlet. &nbsp;</p><p>Collectively, our results suggest that sea otters occupy most areas of lower Cook Inlet with appropriate benthic habitat types and prey resources, which includes areas within BOEM Lease Sale blocks. With the exception of the Lake Clark coast, sea otters may be approaching a food- and habitat-limited distribution and carrying capacity, suggesting that the current status of sea otters in lower Cook Inlet is likely to remain similar in the absence of significant changes to prey, habitat, predation, or anthropogenic disturbance.&nbsp;</p>","language":"English","publisher":"Bureau of Ocean Energy Management (BOEM)","usgsCitation":"Monson, D., Kloecker, K.A., LaRoche, N., Power, C., Geissinger, L., Hasan, E., Jones, T., and Weitzman, B., 2025, Quantifying sea otter abundance, distribution, habitat use, and foraging intake in Cook Inlet, Alaska: OCS Study BOEM 2025-019, viii, 73 p.","productDescription":"viii, 73 p.","ipdsId":"IP-176659","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":502683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502670,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://espis.boem.gov/final%20reports/BOEM_2025-019.pdf"}],"country":"United States","state":"Alaska","otherGeospatial":"Cook Inlet","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -154.3155651543558,\n              60.79849962080206\n            ],\n            [\n              -154.3155651543558,\n              58.54443596757534\n            ],\n            [\n              -149.77946397731765,\n              58.54443596757534\n            ],\n            [\n              -149.77946397731765,\n              60.79849962080206\n            ],\n            [\n              -154.3155651543558,\n              60.79849962080206\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":959185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kloecker, Kimberly A. 0000-0002-2461-968X kkloecker@usgs.gov","orcid":"https://orcid.org/0000-0002-2461-968X","contributorId":3442,"corporation":false,"usgs":true,"family":"Kloecker","given":"Kimberly","email":"kkloecker@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":959186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaRoche, Nicole 0000-0003-3737-5714","orcid":"https://orcid.org/0000-0003-3737-5714","contributorId":178395,"corporation":false,"usgs":false,"family":"LaRoche","given":"Nicole","email":"","affiliations":[{"id":18890,"text":"formerly USGS Western Ecological Research Center, Santa Cruz Field Station","active":true,"usgs":false}],"preferred":false,"id":959187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Power, Collin","contributorId":303954,"corporation":false,"usgs":false,"family":"Power","given":"Collin","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":959188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geissinger, Laura","contributorId":369804,"corporation":false,"usgs":false,"family":"Geissinger","given":"Laura","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":959189,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hasan, Elizabeth","contributorId":369805,"corporation":false,"usgs":false,"family":"Hasan","given":"Elizabeth","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":959190,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Tahzay","contributorId":369806,"corporation":false,"usgs":false,"family":"Jones","given":"Tahzay","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":959191,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weitzman, Ben","contributorId":252838,"corporation":false,"usgs":false,"family":"Weitzman","given":"Ben","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":959192,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70265965,"text":"70265965 - 2025 - Summary of results from monitoring the Geysers with continuous passive seismic and repeat magnetotelluric measurements (2021-2023)","interactions":[],"lastModifiedDate":"2025-04-22T14:54:19.271208","indexId":"70265965","displayToPublicDate":"2025-03-01T09:47:53","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Summary of results from monitoring the Geysers with continuous passive seismic and repeat magnetotelluric measurements (2021-2023)","docAbstract":"<p>Understanding temporal variations in a geothermal field can support operators in decision making that pertains to optimizing production and mitigating hazards. Between 2021 and 2023, The Geysers geothermal field in northern California was monitored with an array of continuous passive seismic sensors and annual repeat magnetotelluric (MT) measurements. Each of these data sets were analyzed and modelled separately to understand the data, sensitivity, and any observable changes. Then, the data were inverted jointly using a crossgradient method to further constrain temporal changes in geophysical properties within the geothermal field. Multiple permutations of annual datasets were used as inputs to the joint inversion. Results demonstrate seismic data constrain smooth inversion of the MT data, and the MT data provide supplementary information about the location of temporal fluid changes. Estimating relative changes in steam saturation for various time intervals of the joint models shows compartmentalized changes in the field, and good spatial correlation with the location of injection wells. These results demonstrate that collecting both passive seismic and MT measurements then modeling them jointly provide complementary information and a relatively inexpensive method for monitoring temporal changes in an active geothermal field that provides results to support operators. </p>","conferenceTitle":"50th Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 10-12, 2025","conferenceLocation":"Stanford, CA","language":"English","publisher":"Stanford University","usgsCitation":"Peacock, J., Alumbaugh, D., Gritto, R., Um, E., Ulrich, C., Mitchell, M., and Hartline, C., 2025, Summary of results from monitoring the Geysers with continuous passive seismic and repeat magnetotelluric measurements (2021-2023), 50th Workshop on Geothermal Reservoir Engineering, Stanford, CA, February 10-12, 2025, 4 p.","productDescription":"4 p.","ipdsId":"IP-174899","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":484833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":484832,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=38093"}],"country":"United States","state":"California","otherGeospatial":"the Geysers","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.883333,\n              38.866667\n            ],\n            [\n              -122.883333,\n              38.716667\n            ],\n            [\n              -122.6833,\n              38.716667\n            ],\n            [\n              -122.6833,\n              38.866667\n            ],\n            [\n              -122.883333,\n              38.866667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":934176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alumbaugh, David 0000-0002-6975-7197","orcid":"https://orcid.org/0000-0002-6975-7197","contributorId":299109,"corporation":false,"usgs":false,"family":"Alumbaugh","given":"David","email":"","affiliations":[{"id":64775,"text":"Berkeley National Lab","active":true,"usgs":false}],"preferred":false,"id":934177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gritto, Roland","contributorId":194798,"corporation":false,"usgs":false,"family":"Gritto","given":"Roland","email":"","affiliations":[],"preferred":false,"id":934178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Um, Evan","contributorId":345396,"corporation":false,"usgs":false,"family":"Um","given":"Evan","email":"","affiliations":[{"id":39617,"text":"Lawrence Berkeley National Lab","active":true,"usgs":false}],"preferred":false,"id":934179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ulrich, Craig","contributorId":336922,"corporation":false,"usgs":false,"family":"Ulrich","given":"Craig","affiliations":[{"id":80913,"text":"3. Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":934180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mitchell, Michael A. 0000-0001-5070-8793","orcid":"https://orcid.org/0000-0001-5070-8793","contributorId":353628,"corporation":false,"usgs":false,"family":"Mitchell","given":"Michael A.","affiliations":[{"id":78718,"text":"formerly U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":934181,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hartline, Craig","contributorId":213429,"corporation":false,"usgs":false,"family":"Hartline","given":"Craig","email":"","affiliations":[{"id":38755,"text":"Calpine","active":true,"usgs":false}],"preferred":false,"id":934182,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70265237,"text":"70265237 - 2025 - Watershed hydrology assessment for the Nueces River basin--Appendix A, statistical hydrology.","interactions":[],"lastModifiedDate":"2025-04-07T15:13:09.568796","indexId":"70265237","displayToPublicDate":"2025-03-01T09:47:45","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Watershed hydrology assessment for the Nueces River basin--Appendix A, statistical hydrology.","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Interagency Flood Risk Management (InFRM)","usgsCitation":"Wallace, D., and Watson, K.M., 2025, Watershed hydrology assessment for the Nueces River basin--Appendix A, statistical hydrology., 100 p.","productDescription":"100 p.","ipdsId":"IP-144878","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":484168,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"http://webapps.usgs.gov/infrm"},{"id":484250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Nueces River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.48516111849933,\n              28.602627339567448\n            ],\n            [\n              -98.48516111849933,\n              27.684996006363292\n            ],\n            [\n              -97.23485178601354,\n              27.684996006363292\n            ],\n            [\n              -97.23485178601354,\n              28.602627339567448\n            ],\n            [\n              -98.48516111849933,\n              28.602627339567448\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wallace, David 0000-0002-9134-8197","orcid":"https://orcid.org/0000-0002-9134-8197","contributorId":220786,"corporation":false,"usgs":true,"family":"Wallace","given":"David","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932582,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264818,"text":"70264818 - 2025 - Preliminary depth to basement modeling at Salton Sea, California","interactions":[],"lastModifiedDate":"2025-03-25T14:26:02.871178","indexId":"70264818","displayToPublicDate":"2025-03-01T09:23:47","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Preliminary depth to basement modeling at Salton Sea, California","docAbstract":"<p>The San Andreas Fault – Imperial Fault (SAF-IF) transtensional step-over zone along the southern margin of the Salton Sea hosts substantial geothermal production and lithium brine resources. Recent volcanism at the Salton Buttes and active seismicity along the SAFIF fault system highlight active tectonic and magmatic processes that pose natural hazards and may impact energy and mineral production. Characterizing the subsurface architecture and extent of concealed alteration associated with this tectono-magmatic system enhances understanding of these active processes, associated hazards, and resources. </p><p>We have compiled a gravity database, consisting of new and re-processed existing data, from which we have constructed a new isostatic residual gravity anomaly map of the Salton trough. We have used this new gravity dataset together with a compilation of publicly available borehole data to develop new depth to basement inversion models for the region. These depth to basement models help to constrain basin geometries, inform alteration mapping, and reveal variations in basement rocks. Due to the concealed nature of the complex tectonic framework at the Salton trough, it is necessary to utilize geophysical methods for subsurface characterization. These new depth to basement models are a first step toward constructing 2D and 3D geophysical and geologic models of the Imperial Valley and Salton Sea geothermal area. This analysis complements other geophysical initiatives, including magnetotelluric (MT) modeling (Tokmakoff et al., 2024), magnetic mapping (Glen and Earney, 2023, 2024) and potential field modeling, and seismic studies focused on hazard and resource investigations in the Imperial Valley. </p>","conferenceTitle":"50th Stanford Geothermal Workshop","conferenceDate":"February 12, 2025","conferenceLocation":"Stanford, CA","language":"English","publisher":"Stanford University","usgsCitation":"Anderson, J.E., Glen, J.M., Schermerhorn, W.D., Earney, T.E., and Morbeck, B., 2025, Preliminary depth to basement modeling at Salton Sea, California, 50th Stanford Geothermal Workshop, Stanford, CA, February 12, 2025, 9 p.","productDescription":"9 p.","ipdsId":"IP-175199","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":483761,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=37957","linkFileType":{"id":5,"text":"html"}},{"id":483774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Salton Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.17095889118062,\n              33.553526286643006\n            ],\n            [\n              -116.17095889118062,\n              32.69509941552114\n            ],\n            [\n              -115.1118650865392,\n              32.69509941552114\n            ],\n            [\n              -115.1118650865392,\n              33.553526286643006\n            ],\n            [\n              -116.17095889118062,\n              33.553526286643006\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Jacob Elliott 0000-0002-0709-2548","orcid":"https://orcid.org/0000-0002-0709-2548","contributorId":329989,"corporation":false,"usgs":true,"family":"Anderson","given":"Jacob","email":"","middleInitial":"Elliott","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schermerhorn, William D. 0000-0002-0167-378X","orcid":"https://orcid.org/0000-0002-0167-378X","contributorId":210081,"corporation":false,"usgs":true,"family":"Schermerhorn","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Earney, Tait E. 0000-0002-1504-0457","orcid":"https://orcid.org/0000-0002-1504-0457","contributorId":210080,"corporation":false,"usgs":true,"family":"Earney","given":"Tait","email":"","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morbeck, Benjamin Lyter 0009-0000-6043-0481","orcid":"https://orcid.org/0009-0000-6043-0481","contributorId":335638,"corporation":false,"usgs":true,"family":"Morbeck","given":"Benjamin Lyter","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931834,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70265429,"text":"70265429 - 2025 - Effectiveness of stewardship and management strategies to conserve coastal bird populations in the northern Gulf of Mexico: A literature review","interactions":[],"lastModifiedDate":"2025-04-04T14:22:25.700492","indexId":"70265429","displayToPublicDate":"2025-03-01T09:19:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of stewardship and management strategies to conserve coastal bird populations in the northern Gulf of Mexico: A literature review","docAbstract":"<p><span>Shorebirds, seabirds, and wading birds (hereafter coastal birds) have experienced considerable losses over the last century and require proactive conservation management to stabilize or grow populations. Habitat loss and/or degradation and human disturbance are among the most urgent threats faced by coastal bird populations. Identifying effective conservation management techniques to mitigate these threats is of great interest in the northern Gulf of Mexico (nGoM), a region that provides important habitat during the entire life cycle of resident birds and an essential breeding, wintering, and stopover site for migratory birds. A suite of 35 coastal birds have been identified as priority species for multi-scale conservation monitoring in this region by the Gulf of Mexico Avian Monitoring Network (GoMAMN). This review focuses on impacts of human disturbance and anthropogenic habitat loss and/or degradation on coastal birds and effectiveness of the management strategies implemented to mitigate them, with the goal of informing nGoM management. Our review found that human disturbance was best alleviated by simultaneously deploying complementary stewardship techniques (e.g., signs, fencing, steward patrols, education and community involvement, and beach closures to humans, dogs, and vehicles). However, the relative efficacy of each individual technique is unclear given that only 13% of human disturbance management studies and 38% of habitat management studies have been conducted in the nGoM region. Given the nature of coastal bird habitat and associated risks from sea level rise and human development, most habitat management studies encouraged strategic applications of beach renourishment, limitations on beach raking, as well as site- and species-specific restoration strategies. Studies demonstrated that successful management of coastal birds in the nGoM combined these approaches, employing complementary and adaptive strategies over extended periods.</span></p>","language":"English","publisher":"Association of Field Ornithologists","doi":"10.5751/JFO-00612-960107","usgsCitation":"Fuller, J., Michel, N.L., Adams, E.M., Darrah, A., Fournier, A., Grace, J., Koczur, L., Kraft, B., Maness, T., Saunders, S.P., Taylor, C., Valentine, K., and Zenzal, T.J., 2025, Effectiveness of stewardship and management strategies to conserve coastal bird populations in the northern Gulf of Mexico: A literature review: Journal of Field Ornithology, v. 96, no. 1, 7, 56 p., https://doi.org/10.5751/JFO-00612-960107.","productDescription":"7, 56 p.","ipdsId":"IP-160709","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488611,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70267354,"text":"70267354 - 2025 - Mount Spurr Volcano","interactions":[],"lastModifiedDate":"2025-05-20T14:15:30.773618","indexId":"70267354","displayToPublicDate":"2025-03-01T09:13:56","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":17066,"text":"Alaska Division of Geological & Geophysical Surveys Information Circular","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"98","title":"Mount Spurr Volcano","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Alaska Division of Geological & Geophysical Survey's","doi":"10.14509/31518","usgsCitation":"Wallace, K.L., Waythomas, C.F., Coombs, M.L., and Nastan, A., 2025, Mount Spurr Volcano: Alaska Division of Geological & Geophysical Surveys Information Circular 98, 2 p., https://doi.org/10.14509/31518.","productDescription":"2 p.","ipdsId":"IP-176693","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":486209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Spurr","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -152.3651677380237,\n              61.355151108267876\n            ],\n            [\n              -152.3651677380237,\n              61.25127738570461\n            ],\n            [\n              -152.15144253360808,\n              61.25127738570461\n            ],\n            [\n              -152.15144253360808,\n              61.355151108267876\n            ],\n            [\n              -152.3651677380237,\n              61.355151108267876\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":937946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":937947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":937948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nastan, A.M.","contributorId":355697,"corporation":false,"usgs":false,"family":"Nastan","given":"A.M.","affiliations":[],"preferred":false,"id":937951,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264813,"text":"70264813 - 2025 - Natural capital accounting on forested lands: An application to the Colorado River basin","interactions":[],"lastModifiedDate":"2025-03-25T14:20:01.525675","indexId":"70264813","displayToPublicDate":"2025-03-01T09:10:39","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Natural capital accounting on forested lands: An application to the Colorado River basin","docAbstract":"<p><span>This paper creates a first set of forest natural capital accounts and demonstrates how these accounts can be integrated with general equilibrium models of the economy. Focusing on the Colorado River Basin, we show that deforestation has direct implications for the forest industry and indirect impacts on the economy through water treatment costs and carbon stock. 327,000 acres of forest are projected to be lost to development by 2100, representing a loss of 1.3 million tons of carbon stored in forests. The direct economic impacts associated with forest loss are estimated to be over $30 million, with $28 million of that coming directly from the value of lost carbon.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Measuring and accounting for environmental public goods: A national accounts perspective","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"University of Chicago Press","collaboration":"USDA Forest Service, North Carolina State University, USDA ERS, U of Tennessee Knoxville","usgsCitation":"Warziniack, T., Bagstad, K.J., Knowles, M., Mihiar, C., Nehra, A., Rhodes, C., Sanchez, L., Sichko, C., and Sims, C., 2025, Natural capital accounting on forested lands: An application to the Colorado River basin, <i>in</i> Measuring and accounting for environmental public goods: A national accounts perspective, p. 191-214.","productDescription":"24 p.","startPage":"191","endPage":"214","ipdsId":"IP-150771","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":483773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Muller, Nicholas Z.","contributorId":352667,"corporation":false,"usgs":false,"family":"Muller","given":"Nicholas Z.","affiliations":[],"preferred":false,"id":931958,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Fenichel, Eli P.","contributorId":177324,"corporation":false,"usgs":false,"family":"Fenichel","given":"Eli","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":931959,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Bohman, Mary","contributorId":352668,"corporation":false,"usgs":false,"family":"Bohman","given":"Mary","affiliations":[],"preferred":false,"id":931960,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Warziniack, Travis 0000-0002-9431-2288","orcid":"https://orcid.org/0000-0002-9431-2288","contributorId":217841,"corporation":false,"usgs":false,"family":"Warziniack","given":"Travis","email":"","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":931807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":931808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knowles, Michael","contributorId":352586,"corporation":false,"usgs":false,"family":"Knowles","given":"Michael","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":931809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mihiar, Christopher","contributorId":352587,"corporation":false,"usgs":false,"family":"Mihiar","given":"Christopher","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":931810,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nehra, Arpita","contributorId":352588,"corporation":false,"usgs":false,"family":"Nehra","given":"Arpita","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":931811,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rhodes, Charles 0000-0002-9040-3684","orcid":"https://orcid.org/0000-0002-9040-3684","contributorId":245881,"corporation":false,"usgs":true,"family":"Rhodes","given":"Charles","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":931812,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanchez, Leslie","contributorId":352589,"corporation":false,"usgs":false,"family":"Sanchez","given":"Leslie","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":931813,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sichko, Christopher","contributorId":352590,"corporation":false,"usgs":false,"family":"Sichko","given":"Christopher","affiliations":[{"id":84276,"text":"USDA ERS","active":true,"usgs":false}],"preferred":false,"id":931814,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sims, Charles B.","contributorId":352591,"corporation":false,"usgs":false,"family":"Sims","given":"Charles B.","affiliations":[{"id":63836,"text":"University of Tennessee, Knoxville","active":true,"usgs":false}],"preferred":false,"id":931815,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70263980,"text":"70263980 - 2025 - Pesticide contamination detected across five wildlife refuges in the Sacramento Valley of California","interactions":[],"lastModifiedDate":"2025-03-04T15:11:12.24565","indexId":"70263980","displayToPublicDate":"2025-03-01T09:07:09","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":"Pesticide contamination detected across five wildlife refuges in the Sacramento Valley of California","docAbstract":"<p><span>An important goal for the applied ecological sciences is to understand the extent to which the biodiversity on conserved or managed lands is exposed to anthropogenic stressors. Among the various categories of conserved lands in the United States, the National Wildlife Refuge System is focused on the protection and management of native wildlife and plant populations. Refuge lands can be associated with wetlands and, especially in California, tend to be near areas of intense human use, including agriculture. The proximity of refuges to cultivated lands results in potential exposure to pesticide drift, which increases the possibility of non-target effects on plants and wildlife. We used a passive sampler approach to quantify aerial pesticide deposition during 28&nbsp;days in spring of 2023, across five refuges in the Sacramento Valley of California. Pesticides were detected across all refuges and plots within the study area, with 36 individual compounds identified, including insecticides, herbicides, and fungicides, from 176 silicone bands from 49 plots. Distance to agriculture was not an important predictor in our models for most indices of contamination. However, our models revealed that the nearest crop type was an important mediator of the importance of distance to agriculture, as fungicide contamination decreased with distance to agriculture only when orchards were the nearest crop type. The overall lack of distance effects suggests that the interior of refuges in the study area do not necessarily provide more protection from pesticides than refuge edges, although larger refuges could offer more protection. We currently lack information on how the level of contamination found herein is biologically relevant to wildlife, and ongoing monitoring efforts have found productive communities of insects in the study area. The results of this study provide a foundation for future investigations on refuges to analyze impacts of specific pesticide compounds on plants and wildlife.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.178991","usgsCitation":"Lenard, A., Burns, T., Hladik, M.L., Keller, K., Marcum, S., Thogmartin, W.E., and Forister, M.L., 2025, Pesticide contamination detected across five wildlife refuges in the Sacramento Valley of California: Science of the Total Environment, v. 969, 178991, 11 p., https://doi.org/10.1016/j.scitotenv.2025.178991.","productDescription":"178991, 11 p.","ipdsId":"IP-172823","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":487280,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.178991","text":"Publisher Index Page"},{"id":482793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.37300689853365,\n              39.68687752157848\n            ],\n            [\n              -122.37300689853365,\n              38.24719803978664\n            ],\n            [\n              -121.17657922197687,\n              38.24719803978664\n            ],\n            [\n              -121.17657922197687,\n              39.68687752157848\n            ],\n            [\n              -122.37300689853365,\n              39.68687752157848\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"969","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lenard, Angie 0000-0002-0085-0473","orcid":"https://orcid.org/0000-0002-0085-0473","contributorId":344593,"corporation":false,"usgs":false,"family":"Lenard","given":"Angie","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":929408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Therese 0000-0003-0213-6094","orcid":"https://orcid.org/0000-0003-0213-6094","contributorId":344594,"corporation":false,"usgs":false,"family":"Burns","given":"Therese","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":929409,"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":929410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keller, Kaylene","contributorId":351762,"corporation":false,"usgs":false,"family":"Keller","given":"Kaylene","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":929411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marcum, Samantha","contributorId":351763,"corporation":false,"usgs":false,"family":"Marcum","given":"Samantha","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":929412,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":929413,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Forister, Matthew L.","contributorId":173758,"corporation":false,"usgs":false,"family":"Forister","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":929414,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70264760,"text":"70264760 - 2025 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2024","interactions":[],"lastModifiedDate":"2025-03-24T14:18:44.046889","indexId":"70264760","displayToPublicDate":"2025-03-01T09:07:02","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2024","docAbstract":"A comprehensive understanding of fish populations and their interactions is the cornerstone of modern fishery management and the basis for Lake Erie’s Fish Community Objectives (FCOs) developed in 2020 (Francis et al. 2020). The 2024 U.S. Geological Survey (USGS) Lake Erie Biological Station Annual Report is responsive to these FCOs and the USGS obligations via a Memorandum of Understanding (MOU 2017) with the Great Lakes Fishery Commission (GLFC) Council of Lake Committees (CLC) to provide scientific information in support of fishery management. Goals for the USGS Great Lakes Deepwater Fish Assessment and Ecological Studies were to monitor long-term changes in the fish community and track population dynamics of key fishes of interest to management agencies. Specific to Lake Erie, expectations were sustained investigations of native percids, prey fish populations, and Lake Trout. All work was conducted as part of the Deepwater Science Program under the authority of the Great Lakes Fishery Research Authorization Act of 2019 (16 USC §941h).\n\nThe USGS 2024 Deepwater Science Program fieldwork began in Lake Erie in March and concluded in December, using trawl, gill net, hydroacoustic, lower trophic sampling devices, and telemetry methods. This work resulted in 44 bottom trawls covering 41 ha of lake bottom and catching 48,936 fish totaling 995 kg in the West Basin of Lake Erie, with detailed results described below. Overnight gill net sets (n=25) for coldwater species were performed in the East Basin of Lake Erie. A total of 8 km of gillnet was deployed during these surveys, which caught 106 fish, 92 of which were native coldwater species: Lake Trout, Burbot, and Lake Whitefish. Results from coldwater species assessments will be reported in the Coldwater Task Group report to the GLFC and the CLC (CTG 2025). These reports are used to inform Lake Trout stocking decisions and direct lamprey control measures (16 USC §939a). USGS hydroacoustic sampling included twenty-six 5-km transects (130 km total) in the Central Basin as part of a collaborative lake-wide survey with details and results reported by the Forage Task Group (FTG 2025). Lower trophic sampling provided data from zooplankton samples (n=12) and water quality profiles (n=12) to populate a database maintained by the Michigan Department of Natural Resources (MDNR), Ontario Ministry of Natural Resources (OMNR), Ohio Department of Natural Resources (ODNR), Pennsylvania Fish and Boat Commission (PFBC), and New York State Department of Environmental Conservation (NYSDEC). USGS also assisted CLC member agencies with deployment and maintenance of Great Lakes Acoustic Telemetry Observation System (GLATOS) infrastructure throughout all three Lake Erie basins and tributaries, supporting multiple coordinated telemetry investigations.\n\nThis report presents biomass-based summaries of fish communities in western Lake Erie derived from USGS bottom trawl surveys conducted from 2013 to 2024 during June and September. The survey design compliments the August ODNR- OMNRF effort by reinforcing stock assessments with more robust data. Analyses herein evaluated trends in total biomass, abundance of dominant predator and forage species, non-native species composition, biodiversity, and community structure. Data from this effort are accessible for download (Keretz et al. 2025)","language":"English","publisher":"Great Lakes Fisheries Commission","usgsCitation":"Dufour, M.R., Guzzo, F., Hilling, C.D., Keretz, K.R., Kraus, R., Oldham, R.C., Roberts, J., and Schmitt, J., 2025, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2024, 18 p.","productDescription":"18 p.","ipdsId":"IP-176058","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":483683,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/publication-media-search.php","linkFileType":{"id":5,"text":"html"}},{"id":483708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      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,{"id":70267311,"text":"70267311 - 2025 - Living on the edge: Identifying demographic bottlenecks in an isolated sage-grouse population","interactions":[],"lastModifiedDate":"2025-05-20T16:04:38.811631","indexId":"70267311","displayToPublicDate":"2025-03-01T08:59:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Living on the edge: Identifying demographic bottlenecks in an isolated sage-grouse population","docAbstract":"<p><span>The greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>: hereafter sage-grouse) population in Modoc County California is geographically isolated and contains a single lek (from 56 leks in the 1940s), despite significant efforts to increase the population through translocations and habitat improvement. Repeated wildfire within the landscape has led to an increase in invasive annual grasses and a decrease in sagebrush (</span><i>Artemisia</i><span>&nbsp;sp.) cover in important nesting and brood-rearing habitat. We estimated survival for adult females, nests, and chicks and assessed biotic characteristics that may influence these survival estimates to identify factors that may be limiting population growth. We monitored 37 female sage-grouse marked with GPS PTTS, 39 nests, and 8 broods for 3 years (2019–2021). We measured vegetation characteristics for nests at the microsite and landscape scale to evaluate effects on daily nest survival (DNS). We used survival rates from all life stages to parameterize matrix models and estimate population growth rate. Mean nest success over 3 years was 29% (95% CI: 17.1–44.8) across a 29-day incubation period and DNS declined as the proportion of both medusahead&nbsp;</span><i>Taeniatherum caput-medusae</i><span>&nbsp;and Japanese brome&nbsp;</span><i>Bromus japonicus</i><span>&nbsp;around the nest increased. Across all three years, mean chick survival across a 54-day period was 44% (95% CI: 0.9–72.3) and mean annual survival for adult females was 29% (95% CI: 17.8–43.7). Our estimated vital rates were 45–55% lower than distribution-wide estimates and the projected population growth rate was strongly declining (0.411, 95% CI: 0.30–0.52). Our results suggested recent cover changes associated with wildfire on the study area may have had a detrimental effect on this population across all life stages, and if attention is not given to preventing the transition from sagebrush communities into invasive grasslands, this population and others in degraded landscapes may not persist.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wlb3.01242","usgsCitation":"Sink, C., Dugger, K., Hagen, C., and Vradenburg, J., 2025, Living on the edge: Identifying demographic bottlenecks in an isolated sage-grouse population: Wildlife Biology, v. 2025, no. 2, e01242, 18 p., https://doi.org/10.1002/wlb3.01242.","productDescription":"e01242, 18 p.","ipdsId":"IP-158671","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489733,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wlb3.01242","text":"Publisher Index Page"},{"id":486226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Modoc County","otherGeospatial":"Clear LakeNational Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.24706523722875,\n              41.936621403090356\n            ],\n            [\n              -121.24706523722875,\n              41.792308909369126\n            ],\n            [\n              -121.02561950743748,\n              41.792308909369126\n            ],\n            [\n              -121.02561950743748,\n              41.936621403090356\n            ],\n            [\n              -121.24706523722875,\n              41.936621403090356\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2025","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Sink, Chelsea E.","contributorId":355595,"corporation":false,"usgs":false,"family":"Sink","given":"Chelsea E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":937695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":937696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagen, Christian A.","contributorId":355597,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":937697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vradenburg, John N.","contributorId":355598,"corporation":false,"usgs":false,"family":"Vradenburg","given":"John N.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":937698,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264970,"text":"70264970 - 2025 - Methodology","interactions":[],"lastModifiedDate":"2025-03-27T14:21:22.11373","indexId":"70264970","displayToPublicDate":"2025-03-01T08:58:49","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Methodology","docAbstract":"Following the approach developed by Gregory and van Strien (2010), State of the\nBirds reports focus on composite summaries of population change for collections of\nspecies that share common primary habitat or taxonomic affinity. In this report, we\nprovide composite indexes for habitat-obligate species as defined in earlier reports\n(Grassland, Aridland, Eastern Forest and Western Forest), for several taxonomic-based\ngroups (Shorebirds, Waterbirds, Geese and Swans, Sea Ducks, and Dabbling/Diving\nDuck species), and for species on our Tipping Point list with adequate data. Lists of\nspecies included in each habitat-obligate group are presented as supplemental material\nat StateoftheBirds.org.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"State of the birds report, United States of America 2025","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"North American Bird Conservation Initiative","usgsCitation":"North American Bird Conservation Initiative, Rodewald, A., Brasher, M., Alexander, J., Ammon, E., Borneman, T.E., Brewer, D., Brown, S., Duberstein, J., Flint, B., Hannuksela, A., Holland, K., Hostetler, J.A., Juarez, E., Kaler, R., Latimer, C., Manquera, E., Martin, K., McCreedy, C., Michel, N., Newsome, C., Olsen, A., Romano, M., Rosenberg, K.V., Ryder, B., Rylander, R.J., Sauer, J.R., Smith, A., Spatz, D., Spiegel, C., Supplee, T., Swift, R., VanderWerf, E., Vest, J., and Wang, O., 2025, Methodology, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-175745","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":483907,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.stateofthebirds.org/2025/methodology/"},{"id":483939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"North American Bird Conservation Initiative","contributorId":352878,"corporation":true,"usgs":false,"organization":"North American Bird Conservation Initiative","id":932273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodewald, A.","contributorId":39113,"corporation":false,"usgs":true,"family":"Rodewald","given":"A.","email":"","affiliations":[],"preferred":false,"id":932249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brasher, Mike","contributorId":341910,"corporation":false,"usgs":false,"family":"Brasher","given":"Mike","affiliations":[{"id":81802,"text":"Waterfowl Scientist","active":true,"usgs":false}],"preferred":false,"id":932250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, John","contributorId":168626,"corporation":false,"usgs":false,"family":"Alexander","given":"John","affiliations":[],"preferred":false,"id":932251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ammon, Elisabeth M.","contributorId":302116,"corporation":false,"usgs":false,"family":"Ammon","given":"Elisabeth M.","affiliations":[{"id":65418,"text":"Great Basin Bird Observatory, 1755 E. 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