{"pageNumber":"71","pageRowStart":"1750","pageSize":"25","recordCount":184606,"records":[{"id":70266474,"text":"70266474 - 2025 - Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design","interactions":[{"subject":{"id":70266474,"text":"70266474 - 2025 - Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design","indexId":"70266474","publicationYear":"2025","noYear":false,"title":"Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design"},"predicate":"SUPERSEDED_BY","object":{"id":70272628,"text":"70272628 - 2025 - When do single-species occupancy models outperform multispecies models?","indexId":"70272628","publicationYear":"2025","noYear":false,"title":"When do single-species occupancy models outperform multispecies models?"},"id":1}],"supersededBy":{"id":70272628,"text":"70272628 - 2025 - When do single-species occupancy models outperform multispecies models?","indexId":"70272628","publicationYear":"2025","noYear":false,"title":"When do single-species occupancy models outperform multispecies models?"},"lastModifiedDate":"2025-11-26T14:27:45.5494","indexId":"70266474","displayToPublicDate":"2025-05-06T08:30:40","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design","docAbstract":"<p><span>Bayesian hierarchical models are ubiquitous in ecology. Random effect model structures are often employed that treat individual effects as deviations from larger population-level effects. In this way individuals are assumed to be \"exchangeable\" samples. Ecologists may address this exchangeability assumption intuitively, but might in certain modeling contexts ignore it altogether, including in situations where it may have large implications for study design. Multispecies occupancy models based on detection/non-detection data are an approach that can be utilized by those tasked with monitoring rare and endangered species because most literature suggests that, compared to single species occupancy models, improved parameter estimates are assured. Yet, we illustrate through a power analysis how sampling requirements to detect experimental treatment effects vary tremendously depending on whether the species exchangeability assumption is met. The degree to which species in a community respond similarly to covariates governs the ability to accurately estimate parameters using multispecies occupancy models. Detecting small or moderate changes in occupancy resulting from habitat restoration treatments may be impossible for small datasets (e.g., &lt; 36 sampling locations, each surveyed &lt; 8 times) even with a paired treatment-control design if the exchangeability assumption is violated. By contrast, when the assumption is met, small effects may be confidently estimated with as few as 12 sampling locations (6 pairs) and 6-8 survey events. Often, it may be impossible to know whether the exchangeability assumption is met. The statistical power needed to accurately estimate species-specific effects using detection/non-detection multispecies occupancy models depends on the unknown values of treatment effects and whether responses by species in the community diverge. When the species exchangeability assumption is violated, and at lower levels of sampling effort, multispecies occupancy models may provide worse inference than single species occupancy models.</span></p>","language":"English","publisher":"BioRxiv","doi":"10.1101/2025.04.30.651473","usgsCitation":"Cotterill, G.G., Keinath, D.A., and Graves, T., 2025, Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design: BioRxiv, preprint posted May 06, 2025, https://doi.org/10.1101/2025.04.30.651473.","productDescription":"31 p.","ipdsId":"IP-176524","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":488154,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1101/2025.04.30.651473","text":"Publisher Index Page"},{"id":485549,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cotterill, Gavin G. 0000-0002-1408-778X","orcid":"https://orcid.org/0000-0002-1408-778X","contributorId":346534,"corporation":false,"usgs":true,"family":"Cotterill","given":"Gavin","middleInitial":"G.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":936157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keinath, Douglas A.","contributorId":274356,"corporation":false,"usgs":false,"family":"Keinath","given":"Douglas","email":"","middleInitial":"A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":936158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":936159,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266908,"text":"70266908 - 2025 - Relating systematic molecular and textural properties of graptolite pyrolyzed via gold tube hydrous pyrolysis: Implications for thermal proxies in lower Paleozoic marine shales","interactions":[],"lastModifiedDate":"2025-05-15T14:57:48.182492","indexId":"70266908","displayToPublicDate":"2025-05-06T07:52:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Relating systematic molecular and textural properties of graptolite pyrolyzed via gold tube hydrous pyrolysis: Implications for thermal proxies in lower Paleozoic marine shales","docAbstract":"<p><span>A series of gold tube pyrolysis experiments (72&nbsp;h, 300–550&nbsp;°C, 50&nbsp;MPa) conducted on a graptolite-rich lower Paleozoic marine shale generated pyrolysis residues for a comprehensive evaluation of the molecular and structural variability of three types of graptolite periderm. Organic petrology, Raman spectroscopy, and field emission scanning electron microscopy (FE-SEM) with energy dispersive spectroscopy (EDS) were combined to evaluate the thermal evolution process. The three types of graptolite periderm, namely granular, non-granular, and nodular graptolite, were analyzed by Raman spectroscopy wherein point measurements were obtained after the maceral was identified and the location verified by organic petrology. Distinct thermal evolution pathways among non-granular, granular, and nodular graptolite periderms were recorded. The evolution patterns of the Raman parameters, particularly D1 and G bands, highlight the differences in geochemical composition of the graptolite periderm types and the alteration of molecular structure with increasing thermal maturity. Raman parameters D1 (position of the D1 peak), G-FWHM (full width at half maximum of the G peak), and ratios D1-FWHM/G-FWHM (full width at half maximum of the D1 peak ratioed to G-FWHM) and A</span><sub>D1</sub><span>/A</span><sub>G</sub><span>&nbsp;(ratio of D1 and G peak intensities) showed effectiveness in assessing thermal maturity. Bireflectance with increasing gold tube pyrolysis temperature followed a hierarchy: non-granular &gt; granular &gt; nodular, reflecting different molecular alignment intensities. Qualitative FE-SEM evaluation showed that fine-grained mineral inclusions (primarily Fe-sulfide as determined via EDS) were associated with the graptolite populations, with granular graptolite containing greater amounts of coarser-grained (e.g., ∼300–1400&nbsp;nm) mineral inclusions relative to non-granular and nodular graptolite, which contain finer-grained (e.g., ∼100–200&nbsp;nm) inclusions difficult to resolve with optical microscopy. These findings are investigated to highlight the mechanisms that drive organic matter evolution within graptolite during thermal maturation, as well as to explore some of the limitations of using spectroscopic parameters as thermal maturity proxies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2025.104793","usgsCitation":"Zheng, X., Sanei, H., Jiang, F., Luo, Q., Wang, Y., Nedzweckas, J., Valentine, B.J., Stokes, M., Cao, L., and Hackley, P.C., 2025, Relating systematic molecular and textural properties of graptolite pyrolyzed via gold tube hydrous pyrolysis: Implications for thermal proxies in lower Paleozoic marine shales: International Journal of Coal Geology, v. 306, 104793, 11 p., https://doi.org/10.1016/j.coal.2025.104793.","productDescription":"104793, 11 p.","ipdsId":"IP-173851","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":485993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"306","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zheng, Xiaowei","contributorId":355198,"corporation":false,"usgs":false,"family":"Zheng","given":"Xiaowei","affiliations":[{"id":84727,"text":"National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum, Beijing 102249, China","active":true,"usgs":false}],"preferred":false,"id":937105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanei, Hamed","contributorId":168753,"corporation":false,"usgs":false,"family":"Sanei","given":"Hamed","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":937106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jiang, Fujie","contributorId":355199,"corporation":false,"usgs":false,"family":"Jiang","given":"Fujie","affiliations":[{"id":84727,"text":"National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum, Beijing 102249, China","active":true,"usgs":false}],"preferred":false,"id":937107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luo, Qingyong","contributorId":330835,"corporation":false,"usgs":false,"family":"Luo","given":"Qingyong","affiliations":[{"id":79043,"text":"National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), China","active":true,"usgs":false}],"preferred":false,"id":937108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Yewei","contributorId":306249,"corporation":false,"usgs":false,"family":"Wang","given":"Yewei","email":"","affiliations":[{"id":17738,"text":"San Francisco Bay Bird Observatory","active":true,"usgs":false}],"preferred":false,"id":937109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nedzweckas, Jennifer 0000-0001-5838-3110","orcid":"https://orcid.org/0000-0001-5838-3110","contributorId":330863,"corporation":false,"usgs":true,"family":"Nedzweckas","given":"Jennifer","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":937110,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":937111,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stokes, Martha 0000-0002-2838-8380","orcid":"https://orcid.org/0000-0002-2838-8380","contributorId":269608,"corporation":false,"usgs":true,"family":"Stokes","given":"Martha","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":937112,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cao, Liu","contributorId":355200,"corporation":false,"usgs":false,"family":"Cao","given":"Liu","affiliations":[{"id":84727,"text":"National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum, Beijing 102249, China","active":true,"usgs":false}],"preferred":false,"id":937113,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":937114,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70266328,"text":"sir20255030 - 2025 - Methodology for defining and compiling abandoned and active hydrocarbon well inventories","interactions":[],"lastModifiedDate":"2025-05-27T16:04:41.799878","indexId":"sir20255030","displayToPublicDate":"2025-05-05T13:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5030","displayTitle":"Methodology for Defining and Compiling Abandoned and Active Hydrocarbon Well Inventories","title":"Methodology for defining and compiling abandoned and active hydrocarbon well inventories","docAbstract":"<p>Hydrocarbon wells are not active forever; when they become permanently disused (abandoned), well infrastructure must be remediated or repurposed. Knowing which wells are abandoned is the initial and often complicated step in taking responsibility for well infrastructure. Each State creates laws and regulates hydrocarbon operations, which includes well abandonment. The existence of multiple regulating authorities means definitions of abandonment are mostly found in legal documents are broadly defined or other terms are used. This report presents a technical approach to defining hydrocarbon well abandonment using well production data and identifies abandoned hydrocarbon wells using the new definition.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255030","programNote":"Energy Resources Program","usgsCitation":"Varela, B.A., and Buursink, M.L., 2025, Methodology for defining and compiling abandoned and active hydrocarbon well inventories: U.S. Geological Survey Scientific Investigations Report 2025–5030, 7 p., https://doi.org/10.3133/sir20255030.","productDescription":"iii, 7 p.","onlineOnly":"Y","ipdsId":"IP-163767","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":485406,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255030/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-5030"},{"id":485403,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5030/sir20255030.xml"},{"id":485852,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118566.htm","linkFileType":{"id":5,"text":"html"}},{"id":485402,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5030/images"},{"id":485353,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5030/sir20255030.pdf","text":"Report","size":"1.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-5030"},{"id":485352,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5030/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\" data-mce-href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Data Considerations</li><li>Methods</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishedDate":"2025-05-05","noUsgsAuthors":false,"publicationDate":"2025-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":178091,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":935645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buursink, Marc L. 0000-0001-6491-386X","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":203357,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":935646,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70266399,"text":"70266399 - 2025 - Rhenium-osmium and oxygen isotope homogeneity during the 2022 Mauna Loa eruption and implications for basaltic magma storage","interactions":[],"lastModifiedDate":"2025-05-06T15:22:14.58738","indexId":"70266399","displayToPublicDate":"2025-05-05T10:17:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Rhenium-osmium and oxygen isotope homogeneity during the 2022 Mauna Loa eruption and implications for basaltic magma storage","docAbstract":"<p><span>Mauna Loa is one of the largest and most active volcanoes on Earth. The most recent eruption of Mauna Loa started on 27 November 2022, lasted for 13&nbsp;days, and was preceded by the longest repose time of 38&nbsp;years in its modern history. In this contribution, new trace- and highly siderophile-element (HSE: Os, Ir, Ru, Pt, Pd, Re) abundances,&nbsp;</span><sup>187</sup><span>Re-</span><sup>187</sup><span>Os, and&nbsp;</span><sup>18</sup><span>O/</span><sup>16</sup><span>O data are reported for the 2022 lavas. These lavas have a limited range of MgO (6.2 ± 0.1 wt.%) and Ni (83 ± 2&nbsp;µg/g), with a broader range of Re (0.3 to 1.3&nbsp;ng/g) and consistent Os (0.031 to 0.080&nbsp;ng/g) contents. They have&nbsp;</span><sup>187</sup><span>Os/</span><sup>188</sup><span>Os ratios (0.1345 to 0.1385) which are, on average, more radiogenic than Mauna Loa picrites (0.1331 to 0.1349) and are similar in composition to more differentiated Mauna Loa tholeiite lavas (0.1340 to 0.1381). The oxygen isotope compositions of glassy samples are 5.35 ± 0.15‰ (</span><i>n</i><span> = 13) and span a range in δ</span><sup>18</sup><span>O of + 5.0 to + 5.5‰, with an average composition 0.2 to 0.3‰ lower than MORB. The δD value is − 81 ± 11‰ (</span><i>n</i><span> = 5) at very low (0.03 ± 0.015 wt.%) H</span><sub>2</sub><span>O concentrations. The 2022 Mauna Loa eruption is similar in terms of δ</span><sup>18</sup><span>O but contrasts in terms of&nbsp;</span><sup>187</sup><span>Os/</span><sup>188</sup><span>Os variability, with the recent longer-lived eruptions on La Palma (Canary Islands; 85&nbsp;days) in 2021 and on the Reykjanes Peninsula (Iceland) that began in 2021 and are still ongoing. Initial lavas were more fractionated for both the Canary Islands and Iceland eruptions, producing more radiogenic Os isotope compositions than later erupted products. The 2022 Mauna Loa eruption showed no such trends. The limited range in isotope compositions of the 2022 Mauna Loa lavas and their strongly fractioned HSE patterns reflect long-term storage, crystal fractionation, and assimilation of related basaltic volcanic edifice materials by the parent magma beneath the volcano prior to eruption triggering. Eruption of differentiated and homogeneous tholeiite lavas at the summit caldera and high on the volcano’s flank, with emplacement of accumulative picrites lower on the volcano, are consistent with neutral buoyancy arguments.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-025-01825-0","usgsCitation":"Rhoads, E., Kutyrev, A., Bindeman, I.N., Lynn, K.J., Trusdell, F., Downs, D.T., Edwards, H., Cook, G., and Day, J., 2025, Rhenium-osmium and oxygen isotope homogeneity during the 2022 Mauna Loa eruption and implications for basaltic magma storage: Bulletin of Volcanology, v. 87, 38, 19 p., https://doi.org/10.1007/s00445-025-01825-0.","productDescription":"38, 19 p.","ipdsId":"IP-169680","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-025-01825-0","text":"Publisher Index Page"},{"id":485454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.70545026795776,\n              19.707077790926633\n            ],\n            [\n              -155.70545026795776,\n              19.36043617244789\n            ],\n            [\n              -155.41439917963822,\n              19.36043617244789\n            ],\n            [\n              -155.41439917963822,\n              19.707077790926633\n            ],\n            [\n              -155.70545026795776,\n              19.707077790926633\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rhoads, Emily A.","contributorId":354537,"corporation":false,"usgs":false,"family":"Rhoads","given":"Emily A.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":935828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kutyrev, Anton","contributorId":354538,"corporation":false,"usgs":false,"family":"Kutyrev","given":"Anton","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":935829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bindeman, Ilya N.","contributorId":175500,"corporation":false,"usgs":false,"family":"Bindeman","given":"Ilya","email":"","middleInitial":"N.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":935830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935831,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trusdell, Frank A. 0000-0002-0681-0528 trusdell@usgs.gov","orcid":"https://orcid.org/0000-0002-0681-0528","contributorId":754,"corporation":false,"usgs":true,"family":"Trusdell","given":"Frank A.","email":"trusdell@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935833,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Edwards, Hunter R.","contributorId":354541,"corporation":false,"usgs":false,"family":"Edwards","given":"Hunter R.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":935834,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cook, Geoffrey W.","contributorId":354544,"corporation":false,"usgs":false,"family":"Cook","given":"Geoffrey W.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":935835,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Day, James M.D.","contributorId":354545,"corporation":false,"usgs":false,"family":"Day","given":"James M.D.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":935836,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70269014,"text":"70269014 - 2025 - Dynamic riskscapes for prey: Disentangling the impact of human and cougar presence on deer behavior using GPS smartphone locations","interactions":[],"lastModifiedDate":"2025-08-04T15:59:09.153762","indexId":"70269014","displayToPublicDate":"2025-05-05T09:24:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic riskscapes for prey: Disentangling the impact of human and cougar presence on deer behavior using GPS smartphone locations","docAbstract":"<p><span>Prey species adjust their behavior along human-use gradients by balancing risks from predators and humans. During hunting seasons, prey often exhibit strong antipredator responses to humans but may develop tolerance in suburban areas to exploit human-mediated resources. Additionally, areas with high human activity may offer reduced predation risk if apex predators avoid such locations. This study examined mule deer&nbsp;</span><i>Odocoileus hemionus</i><span>&nbsp;behavioral responses to risks from humans and their primary predators, cougars&nbsp;</span><i>Puma concolor</i><span>, contextualized by differences in risk levels between study sites, individual risk exposure, and human habituation. We framed our investigation using three non-mutually exclusive hypotheses: (H1) neutral impact, (H2) human shielding (human tolerance driven by cougar avoidance), and (H3) super-additive risk (human avoidance dominating behavior). We controlled for deer phenology and diel period, recognizing that deer behavior varies with these temporal dynamics. Spatiotemporal cougar encounter risk was quantified using GPS collar data, while spatiotemporal human encounter risk and use intensity were quantified using GPS smartphone data. Our results supported H2 and H3, emphasizing the significance of site- and individual-level variation in risk exposure and human use intensity. Deer managed cougar risk adaptively, but humans emerged as the dominant perceived risk, varying by study site. At the site with higher cougar density and lower human hunting pressure, deer exhibited antipredator responses to humans based on individual exposure to human activity, except during hunting season, when tolerance for cougars increased. Conversely, humans were the dominant risk at the site with lower cougar density and greater human hunting pressure. Deer behavior varied significantly across a gradient of human use, influenced by nuanced human presence and predation risks, which were discernible using human smartphone data.</span></p>","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/ecog.07626","usgsCitation":"Abernathy, H., Dittmer, M., Stoner, D., Kent Hersey, Schoenecker, K., Jackson, P., Engebretsen, K., Young, J., and Wittemyer, G., 2025, Dynamic riskscapes for prey: Disentangling the impact of human and cougar presence on deer behavior using GPS smartphone locations: Ecography, v. 2025, no. 8, e07626, 16 p., https://doi.org/10.1002/ecog.07626.","productDescription":"e07626, 16 p.","ipdsId":"IP-167773","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":492206,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":492489,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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Kristin","contributorId":357969,"corporation":false,"usgs":false,"family":"Engebretsen","given":"Kristin","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":942915,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Young, Julie","contributorId":357970,"corporation":false,"usgs":false,"family":"Young","given":"Julie","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":942916,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wittemyer, George","contributorId":357971,"corporation":false,"usgs":false,"family":"Wittemyer","given":"George","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":942917,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70268080,"text":"70268080 - 2025 - Finding the hidden orogeny – The Proterozoic polymetamorphic history of northern New Mexico","interactions":[],"lastModifiedDate":"2025-09-22T15:19:55.957196","indexId":"70268080","displayToPublicDate":"2025-05-05T09:19:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3531,"text":"Terra Nova","active":true,"publicationSubtype":{"id":10}},"title":"Finding the hidden orogeny – The Proterozoic polymetamorphic history of northern New Mexico","docAbstract":"<p><span>Pressure–temperature–time-deformation histories provide key constraints on orogenic processes but can be affected by later overprinting. This is exemplified in the Proterozoic orogenic belts of southwestern Laurentia where competing tectonic models involve either a single progressive Mesoproterozoic event, the Picuris orogeny, or a polyorogenic history that also includes the ~1.65 Ga Mazatzal orogeny. We address this controversy with structural analysis and petrochronology in the type locality of the Picuris orogeny. Xenotime and monazite domains associated with the greenschist-facies axial planar fabric of early F</span><sub>1</sub><span>&nbsp;folds yield 1644 ± 11 Ma (xenotime) and 1641 ± 15 Ma (monazite) ages and 450°C–482°C temperatures recording metamorphism and shortening associated with the Mazatzal orogeny. This Palaeoproterozoic greenschist-facies assemblage was overprinted by higher grade, protracted (1470–1350 Ma) tectonism that included the Picuris orogeny. Our results document the complex polyphase crustal assembly of Laurentia and highlight how petrochronology can effectively see through higher grade overprints to identify a more complete orogenic evolution.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ter.12778","usgsCitation":"Hillenbrand, I.W., Williams, M., Gilmer, A.K., Karlstrom, K.E., Jercinovic, M.J., and Young, D., 2025, Finding the hidden orogeny – The Proterozoic polymetamorphic history of northern New Mexico: Terra Nova, v. 37, no. 5, p. 304-315, https://doi.org/10.1111/ter.12778.","productDescription":"12 p.","startPage":"304","endPage":"315","ipdsId":"IP-172431","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":490508,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.85,\n              36.308\n            ],\n            [\n              -105.85,\n              36.1667\n            ],\n            [\n              -105.6333,\n              36.1667\n            ],\n            [\n              -105.6333,\n              36.308\n            ],\n            [\n              -105.85,\n              36.308\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"37","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":940153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Michael L","contributorId":356814,"corporation":false,"usgs":false,"family":"Williams","given":"Michael L","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":940154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilmer, Amy K. 0000-0001-5038-8136","orcid":"https://orcid.org/0000-0001-5038-8136","contributorId":218307,"corporation":false,"usgs":true,"family":"Gilmer","given":"Amy","email":"","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":940155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karlstrom, Karl E.","contributorId":228844,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","email":"","middleInitial":"E.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":940156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jercinovic, Michael J.","contributorId":316620,"corporation":false,"usgs":false,"family":"Jercinovic","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":68659,"text":"University of Massachusetts - Amherst","active":true,"usgs":false}],"preferred":false,"id":940157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Young, Daniel J","contributorId":356815,"corporation":false,"usgs":false,"family":"Young","given":"Daniel J","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":940158,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267285,"text":"70267285 - 2025 - Practical genetic diversity protection: an accessible framework for IUCN subpopulation and Evolutionarily Significant Unit identification","interactions":[],"lastModifiedDate":"2025-05-20T14:09:13.655275","indexId":"70267285","displayToPublicDate":"2025-05-05T09:05:07","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18754,"text":"EcoEvoRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Practical genetic diversity protection: an accessible framework for IUCN subpopulation and Evolutionarily Significant Unit identification","docAbstract":"<p><span>The International Union for Conservation of Nature (IUCN) sets global conservation standards, including the Red List of Threatened Species and the Green Status of Species. Recent analyses showed that genetic diversity has not been effectively considered by IUCN species assessments, despite being fundamental to species’ fitness and adaptive potential. Incorporation of genetic diversity into IUCN assessments can support its successful long-term conservation. To enhance the preservation of genetic diversity, assessments should include genetically meaningful within-species units. Subpopulations are recognized units by the IUCN for protecting natural connectivity, however infrequently evaluated. Evolutionarily Significant Units (ESUs) are currently not recognized as a formal unit by the IUCN. However, incorporating ESUs into conservation frameworks could significantly enhance our capacity to identify and protect adaptive genetic diversity. To facilitate inclusion of these units in IUCN assessments, we outline a widely applicable framework for their identification that uses non-molecular and molecular data for global accessibility.</span></p>","language":"English","publisher":"EcoEvoRxiv","doi":"10.32942/X2RK9Q","usgsCitation":"Geue, J.C., Bertola, L.D., Bloomer, P., Bruniche-Olsen, A., da Silva, J.M., DeWoody, J., Fedorca, A., Godoy, J.A., Grueber, C.E., Hunter, M., Hvilsom, C., Russo, I.M., Jensen, E.L., Kopatz, A., MacDonald, A.J., Pérez-Espona, S., Piaggio, A.J., Pierson, J., Senn, H., Segelbacher, G., Sunnucks, P., van Oosterhout, C., and Leigh, D.M., 2025, Practical genetic diversity protection: an accessible framework for IUCN subpopulation and Evolutionarily Significant Unit identification: EcoEvoRxiv, preprint posted May 05, 2025, https://doi.org/10.32942/X2RK9Q.","productDescription":"64 p.","ipdsId":"IP-175610","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":489215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.32942/x2rk9q","text":"Publisher Index Page"},{"id":486208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Geue, Julia C. 0000-0002-1038-8614","orcid":"https://orcid.org/0000-0002-1038-8614","contributorId":343901,"corporation":false,"usgs":false,"family":"Geue","given":"Julia","email":"","middleInitial":"C.","affiliations":[{"id":82252,"text":"Biology Department, Trent University \nPeterborough, Canada","active":true,"usgs":false}],"preferred":false,"id":937594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertola, Laura D.","contributorId":239924,"corporation":false,"usgs":false,"family":"Bertola","given":"Laura","email":"","middleInitial":"D.","affiliations":[{"id":38178,"text":"City College of New York","active":true,"usgs":false}],"preferred":false,"id":937595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloomer, Paulette","contributorId":239925,"corporation":false,"usgs":false,"family":"Bloomer","given":"Paulette","email":"","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":937596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruniche-Olsen, Anna 0000-0002-3364-2064","orcid":"https://orcid.org/0000-0002-3364-2064","contributorId":333554,"corporation":false,"usgs":false,"family":"Bruniche-Olsen","given":"Anna","email":"","affiliations":[{"id":79924,"text":"Section for Computational and RNA Biology, Department of Biology, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":937597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"da Silva, Jessica M.","contributorId":290139,"corporation":false,"usgs":false,"family":"da Silva","given":"Jessica","email":"","middleInitial":"M.","affiliations":[{"id":62352,"text":"South African National Biodiversity Institute, Kirstenbosch Research Centre, Rhodes Drive, Private Bag X7, 7735 Cape Town, South Africa","active":true,"usgs":false}],"preferred":false,"id":937598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeWoody, J. Andrew","contributorId":340886,"corporation":false,"usgs":false,"family":"DeWoody","given":"J. Andrew","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":937599,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fedorca, Ancuta 0000-0001-5828-5422","orcid":"https://orcid.org/0000-0001-5828-5422","contributorId":343900,"corporation":false,"usgs":false,"family":"Fedorca","given":"Ancuta","email":"","affiliations":[{"id":82251,"text":"Department of Wildlife, National Institute for Research and Development in Forestry “Marin Dracea”, Closca 13, Brasov, Romania","active":true,"usgs":false}],"preferred":false,"id":937600,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Godoy, Jose A.","contributorId":290142,"corporation":false,"usgs":false,"family":"Godoy","given":"Jose","email":"","middleInitial":"A.","affiliations":[{"id":62356,"text":"Department of Integrative Ecology, Estación Biológica de Doñana (CSIC), Seville, E-41092, Spain","active":true,"usgs":false}],"preferred":false,"id":937601,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Grueber, Catherine E.","contributorId":239927,"corporation":false,"usgs":false,"family":"Grueber","given":"Catherine","email":"","middleInitial":"E.","affiliations":[{"id":48055,"text":"School of Life and Environmental Sciences, Faculty of Science, The University of Sydney","active":true,"usgs":false}],"preferred":false,"id":937602,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214948,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":937603,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hvilsom, 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University","active":true,"usgs":false}],"preferred":false,"id":937605,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kopatz, Alexander","contributorId":248412,"corporation":false,"usgs":false,"family":"Kopatz","given":"Alexander","email":"","affiliations":[{"id":33046,"text":"Norwegian Institute for Nature Research","active":true,"usgs":false}],"preferred":false,"id":937606,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"MacDonald, Anna J.","contributorId":260834,"corporation":false,"usgs":false,"family":"MacDonald","given":"Anna","email":"","middleInitial":"J.","affiliations":[{"id":52688,"text":"The Australian National University, John Curtin School of Medical Research and Research School of Biology, Canberra, Australia","active":true,"usgs":false}],"preferred":false,"id":937607,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pérez-Espona, Silvia","contributorId":355556,"corporation":false,"usgs":false,"family":"Pérez-Espona","given":"Silvia","affiliations":[{"id":84774,"text":"Royal (Dick) School of Veterinary Studies","active":true,"usgs":false}],"preferred":false,"id":937608,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Piaggio, Antoinette J.","contributorId":174782,"corporation":false,"usgs":false,"family":"Piaggio","given":"Antoinette","email":"","middleInitial":"J.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":937609,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Pierson, Jennifer C.","contributorId":355557,"corporation":false,"usgs":false,"family":"Pierson","given":"Jennifer C.","affiliations":[{"id":84776,"text":"Australian Wildlife Conservancy","active":true,"usgs":false}],"preferred":false,"id":937610,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Senn, Helen","contributorId":355558,"corporation":false,"usgs":false,"family":"Senn","given":"Helen","affiliations":[{"id":84778,"text":"Royal Zoological Society of Scotland","active":true,"usgs":false}],"preferred":false,"id":937612,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"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":937613,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Sunnucks, Paul 0000-0002-8139-7059","orcid":"https://orcid.org/0000-0002-8139-7059","contributorId":333555,"corporation":false,"usgs":false,"family":"Sunnucks","given":"Paul","email":"","affiliations":[{"id":27950,"text":"School of Biological Sciences, Monash University","active":true,"usgs":false}],"preferred":false,"id":937614,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"van Oosterhout, Cock","contributorId":355559,"corporation":false,"usgs":false,"family":"van Oosterhout","given":"Cock","affiliations":[{"id":16617,"text":"University of East Anglia","active":true,"usgs":false}],"preferred":false,"id":937615,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"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":937616,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}}
,{"id":70268088,"text":"70268088 - 2025 - Tradeoffs and win-wins between large landscape conservation and wildlife viewing in protected areas","interactions":[],"lastModifiedDate":"2025-06-12T15:01:11.467488","indexId":"70268088","displayToPublicDate":"2025-05-05T07:51:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Tradeoffs and win-wins between large landscape conservation and wildlife viewing in protected areas","docAbstract":"<p><span>Wildlife conservation around protected areas is critical and costly, yet its beneficiaries—particularly protected area visitors who enjoy viewing wide-ranging wildlife—rarely contribute towards landscape-scale conservation. We characterize the importance of wildlife viewing in two U.S. protected areas: Yellowstone and Grand Teton National Parks. We surveyed park visitors (</span><i>N</i><span> = 991) and used the travel cost method to test whether changes in the viewing experience would justify support for visitor-funded conservation. We find that benefits from wildlife viewing are substantial and dependent on protecting wide-ranging species and maintaining their abundance. Large carnivores, particularly grizzly bears, are especially important to wildlife viewers, who are willing to pay more to visit the parks by about 50%. Additionally, we gauged support for three conservation fundraising mechanisms within parks: a mandatory fee, a voluntary fund, and a tax on goods and services. Overall, we find that species population declines could have a greater effect on visitation than that from imposing conservation costs onto visitors, which visitors largely support regardless of income or politics. Our results demonstrate tradeoffs between maintaining visitor experience quality and protected area visitation, with a potential win-win for conservation beneficiaries to contribute towards action at a scale necessary for biodiversity protection.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70051","usgsCitation":"Flint, H.B., Enriquez, A.J., Bennett, D., Richardson, L., and Middleton, A., 2025, Tradeoffs and win-wins between large landscape conservation and wildlife viewing in protected areas: Conservation Science and Practice, v. 7, no. 6, e70051, 11 p., https://doi.org/10.1111/csp2.70051.","productDescription":"e70051, 11 p.","ipdsId":"IP-157844","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":490674,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70051","text":"Publisher Index Page"},{"id":490515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Grand Teton National Park, Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.05566890277504,\n              45.04322153561924\n            ],\n            [\n              -111.05566890277504,\n              42.63727140232976\n            ],\n            [\n              -108.69188793988411,\n              42.63727140232976\n            ],\n            [\n              -108.69188793988411,\n              45.04322153561924\n            ],\n            [\n              -111.05566890277504,\n              45.04322153561924\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"7","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Flint, Hilary Byerly","contributorId":296733,"corporation":false,"usgs":false,"family":"Flint","given":"Hilary","email":"","middleInitial":"Byerly","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":940172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enriquez, Aaron Joey 0000-0002-0305-4333","orcid":"https://orcid.org/0000-0002-0305-4333","contributorId":346485,"corporation":false,"usgs":true,"family":"Enriquez","given":"Aaron","email":"","middleInitial":"Joey","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":940173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Drew","contributorId":356818,"corporation":false,"usgs":false,"family":"Bennett","given":"Drew","affiliations":[{"id":85244,"text":"Haub School of Environment and Natural Resources, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":940174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richardson, Leslie","contributorId":197525,"corporation":false,"usgs":false,"family":"Richardson","given":"Leslie","affiliations":[],"preferred":false,"id":940175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Middleton, Arthur","contributorId":288504,"corporation":false,"usgs":false,"family":"Middleton","given":"Arthur","affiliations":[{"id":54468,"text":"uc","active":true,"usgs":false}],"preferred":false,"id":940176,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70266471,"text":"70266471 - 2025 - Inferring snowpack contributions and the mean elevation of source water to streamflow in the Willamette River, Oregon using water stable isotopes","interactions":[],"lastModifiedDate":"2025-05-07T18:42:39.895388","indexId":"70266471","displayToPublicDate":"2025-05-04T13:38:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Inferring snowpack contributions and the mean elevation of source water to streamflow in the Willamette River, Oregon using water stable isotopes","docAbstract":"<p><span>Snowpacks are an important water source for mountainous rivers, worldwide. The timing and volume of streamflow in systems reliant on snowmelt can be affected by changes in snow accumulation and melt time. In the Cascade Range (western USA), seasonal snowpacks are predicted to decrease by over 50% within the next century. During the last decade, Cascade Range snowpacks have varied between 17% and 150% of the median 1981–2023 peak snowpack values. To understand how snowpack variation could affect Willamette River streamflow, we monitored water stable isotopes over 13 years from two sites on the mainstem and 60 streams draining small catchments across the Willamette River Basin. Small catchment water stable isotope values integrated and dampened variation in precipitation isotopes and varied with elevation, providing a marker for determining the mean elevation from which streamflow in the Willamette River was derived. During winter, while snow accumulates in the mountains, most streamflow in the Willamette River originates from rainfall at lower elevations. During summer low-flow conditions, most streamflow in the river was derived from winter snow that accumulated at elevations above 1200 m, which represents &lt; 12% of the Willamette River Basin area. Peak snow water equivalent from the previous winter was positively correlated with the proportion of Willamette River streamflow derived from &gt; 1200 m during the summer low-flow period, but both high elevation (&gt; 1200 m) precipitation and temperature trends explained nearly as much variance as snow water equivalent. However, after accounting for climate trends, the estimated amount of high-elevation streamflow in the Willamette River during summer low-flow has decreased over the past 13 years. Improved understanding of the origin of, and trends in, summer streamflow in the Willamette River will aid in reconciling human demands with biological instream requirements during periods of low snowpack.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70136","usgsCitation":"Brooks, J.R., Johnson, H.M., Johnson, K., Cline, S., Comeleo, R., Rugh, W., and Trine, L., 2025, Inferring snowpack contributions and the mean elevation of source water to streamflow in the Willamette River, Oregon using water stable isotopes: Hydrological Processes, v. 39, no. 5, e70136, 16 p., https://doi.org/10.1002/hyp.70136.","productDescription":"e70136, 16 p.","ipdsId":"IP-172923","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":485517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.95523621449394,\n              45.86142450803834\n            ],\n            [\n              -123.81476990715908,\n              44.89596823269312\n            ],\n            [\n              -123.72977022633785,\n              43.74103690962323\n            ],\n            [\n              -123.07197402264748,\n              42.915774707124\n            ],\n            [\n              -122.07756499909124,\n              42.658344639098516\n            ],\n            [\n              -121.39018022281371,\n              43.76496540434982\n            ],\n            [\n              -121.33327288435316,\n              44.70946434908879\n            ],\n            [\n              -121.72513456164276,\n              45.32271768048014\n            ],\n            [\n              -122.32368441902653,\n              45.52334782078054\n            ],\n            [\n              -122.66134858778295,\n              45.556744965138535\n            ],\n            [\n              -122.95523621449394,\n              45.86142450803834\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Brooks, J. Renee","contributorId":176587,"corporation":false,"usgs":false,"family":"Brooks","given":"J.","email":"","middleInitial":"Renee","affiliations":[],"preferred":false,"id":936062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Henry M. 0000-0002-7571-4994 hjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":869,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"hjohnson@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":936063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Keira R.","contributorId":354644,"corporation":false,"usgs":false,"family":"Johnson","given":"Keira R.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":936064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cline, Steven P.","contributorId":354645,"corporation":false,"usgs":false,"family":"Cline","given":"Steven P.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":936065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Comeleo, Randy","contributorId":217974,"corporation":false,"usgs":false,"family":"Comeleo","given":"Randy","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":936066,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rugh, WIlliam","contributorId":354646,"corporation":false,"usgs":false,"family":"Rugh","given":"WIlliam","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":936067,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Trine, Lisandra","contributorId":354647,"corporation":false,"usgs":false,"family":"Trine","given":"Lisandra","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":936068,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273074,"text":"70273074 - 2025 - Stable occupancy of conservation-priority birds amid community shifts across 16 years on Iowa wetland easements","interactions":[],"lastModifiedDate":"2025-12-12T18:40:08.446372","indexId":"70273074","displayToPublicDate":"2025-05-04T11:33:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Stable occupancy of conservation-priority birds amid community shifts across 16 years on Iowa wetland easements","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Intensive agriculture in the Prairie Pothole Region of Iowa, USA has resulted in significant wetland drainage and wildlife population declines. However, easement programs are increasingly used to protect and restore wetlands and revitalize biodiversity. Short-term responses (i.e., 1–5 years) of birds to wetland restorations are well-documented, but long-term trends are less understood. We surveyed wetland easements in Iowa during 2007–2009 and 2022–2023 to assess changes in breeding bird communities and occupancy for conservation-priority species. We conducted bird point counts and vegetation surveys at 55 wetland easements. We used species accumulation curves to estimate overall breeding bird richness by guild, and site-occupancy models to estimate occupancy for 20 conservation-priority species. Species richness remained stable between time periods, but community composition shifted, with fewer grassland and more forest bird species despite no change in woody vegetation cover estimates (2007–2009: 3.2%, standard deviation [SD] = 5.9; 2022–2023: 3.1%, SD = 3.8). Occupancy for most species at wetland easements remained stable over time; however, 4 species declined (e.g.,&nbsp;</span><i>Cistothorus stellaris</i><span>&nbsp;[Sedge Wren]). Six grassland bird species (e.g.,&nbsp;</span><i>Sturnella magna</i><span>&nbsp;[Eastern Meadowlark]) exhibited positive or stable occupancy trends. Forest-dependent species generally maintained or increased in occupancy (e.g.,&nbsp;</span><i>Icterus galbula</i><span>&nbsp;[Baltimore Oriole]). Increased forest bird richness despite stable woody vegetation cover may indicate changing structural characteristics as existing forests mature, whereas management to control woody encroachment at wetland easements may explain our observations of stable forest bird occupancy. Wetland easements may be strongholds for some grassland bird species, which are in precipitous decline across North America. Our study highlights the importance of wetland easements in an agricultural landscape to breeding bird communities and emphasizes the value of continued monitoring to track changes over time.</span></span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf034","usgsCitation":"Gapinski, L.A., Kinkead, K.E., Janke, A.K., Dinsmore, S.J., Bishop, T., and Tucker, A.M., 2025, Stable occupancy of conservation-priority birds amid community shifts across 16 years on Iowa wetland easements: Ornithological Applications, v. 127, no. 3, duaf034, 15 p., https://doi.org/10.1093/ornithapp/duaf034.","productDescription":"duaf034, 15 p.","ipdsId":"IP-169149","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497713,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duaf034","text":"Publisher Index Page"},{"id":497497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.75770786982824,\n              43.54695571723664\n            ],\n            [\n              -95.75770786982824,\n              40.01246322199273\n            ],\n            [\n              -91.52690414553632,\n              40.01246322199273\n            ],\n            [\n              -91.52690414553632,\n              43.54695571723664\n            ],\n            [\n              -95.75770786982824,\n              43.54695571723664\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"127","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Gapinski, Lindsey A.W.","contributorId":364117,"corporation":false,"usgs":false,"family":"Gapinski","given":"Lindsey","middleInitial":"A.W.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":952240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinkead, Karen E.","contributorId":364120,"corporation":false,"usgs":false,"family":"Kinkead","given":"Karen","middleInitial":"E.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janke, Adam K.","contributorId":364123,"corporation":false,"usgs":false,"family":"Janke","given":"Adam","middleInitial":"K.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":952242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dinsmore, Stephen J.","contributorId":364126,"corporation":false,"usgs":false,"family":"Dinsmore","given":"Stephen","middleInitial":"J.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bishop, Todd","contributorId":364129,"corporation":false,"usgs":false,"family":"Bishop","given":"Todd","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tucker, Anna Maureen 0000-0002-1473-2048 amtucker@usgs.gov","orcid":"https://orcid.org/0000-0002-1473-2048","contributorId":257906,"corporation":false,"usgs":true,"family":"Tucker","given":"Anna","email":"amtucker@usgs.gov","middleInitial":"Maureen","affiliations":[],"preferred":true,"id":952245,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267823,"text":"70267823 - 2025 - Metal fingerprints of Eocene rhyolite magmas coincident with Carlin-type gold deposition in Nevada USA","interactions":[],"lastModifiedDate":"2025-06-03T15:34:51.475791","indexId":"70267823","displayToPublicDate":"2025-05-04T08:28:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Metal fingerprints of Eocene rhyolite magmas coincident with Carlin-type gold deposition in Nevada USA","docAbstract":"Eocene magmatic systems contemporaneous with world-class Carlin-type Au deposits in Nevada (USA) have been proposed by some researchers as a key ingredient for Au mineralization, though evidence conclusively demonstrating their genetic relationship remains tenuous. This study provides the first direct evidence of the pre-eruptive metal budget of volatile- and metal-charged silicic magmas coincident in time (~41 to 34 Ma) and space (within 5 km) with Carlin-type Au deposits. We characterize the pre-eruptive metal fingerprints of these diverse magmatic systems to assess their potential as sources of metals for Carlin-type Au mineralization. Metal abundances from quartz-hosted melt inclusions (Au, Te, Ag, Sb, Tl, Mo, W, Sn, As, Pb, Co, Cu, Ni, and Zn) characterized in situ by SHRIMP-RG and LA-ICP-MS represent our best (and only) estimates for the pre-eruptive metal budget in these systems. Median metal concentrations are generally within one order of magnitude of average upper crust and average continental rhyolite values. But there are two notable exceptions, with median Au contents extending >1 order of magnitude higher than average upper crust and median Cu contents ranging >1 order of magnitude lower than upper crust. Despite this, melts contain lower Au/Cu (<0.1), Au/Ag (<5), and Au/Tl (<0.3) than most ore-grade Carlin-type rock samples and quartz-hosted fluid inclusions, regardless of their age and timing relative to nearby Carlin-type Au mineralization. The metal fingerprints of these magmatic systems, de-fined both by traditional and multivariate compositional data analysis techniques, are distinct from one another. Yet none are particularly specialized, e.g., high Au/Cu, in terms of being ideal ingredients as postulated by magmatic models for Carlin-type Au mineralization. Magmatic Au contents do not appear to be correlated with rhyolite “flavors” in the way that Cu, Sn, and Nb contents are. Fluid/melt partitioning modeling and magma volume estimates support the idea that a diverse array of non-specialized silicic magmas could feasibly contribute some or potentially all of the Au, Ag, and Cu in Carlin-type systems. The compositional diversity among contemporaneous magmatic systems could possibly contribute to some of the diversity observed across Carlin-type Au districts in Nevada.","language":"English","publisher":"MDPI","doi":"10.3390/min15050479","usgsCitation":"Mercer, C.N., Babel, H., Mercer, C.M., and Hofstra, A.H., 2025, Metal fingerprints of Eocene rhyolite magmas coincident with Carlin-type gold deposition in Nevada USA: Minerals, v. 15, no. 5, 479, 29 p., https://doi.org/10.3390/min15050479.","productDescription":"479, 29 p.","ipdsId":"IP-170125","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":490665,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min15050479","text":"Publisher Index Page"},{"id":490404,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UWAW28","text":"USGS data release","linkHelpText":"Melt inclusion and mineral geochemical analyses supporting the evaluation of petrogenesis, degassing, and metallogenic potential of mid-Cenozoic rhyolite magmas in northern Nevada, USA (ver. 2.0, March 2025)"},{"id":489471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70266466,"text":"70266466 - 2025 - Geomorphological evidence of near-surface ice at candidate landing sites in northern Amazonis Planitia, Mars","interactions":[],"lastModifiedDate":"2025-05-07T18:18:46.33843","indexId":"70266466","displayToPublicDate":"2025-05-03T11:14:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphological evidence of near-surface ice at candidate landing sites in northern Amazonis Planitia, Mars","docAbstract":"This work presents geomorphological analyses of an area at the boundary between Arcadia Planitia and northern Amazonis Planitia, situated in the northern mid-latitudes of Mars. Recent studies have indicated the presence of substantial volumes of near-surface excess ice in Arcadia Planitia, making this region a promising candidate for future human and robotic exploration. This study focuses on three specific candidate landing sites adjacent to the Arcadia Planitia: AP-1, AP-8, and AP-9. We have identified a wide range of ice-related morphologies, providing further evidence for the occurrence of excess ice in the study area. We have mapped and measured ∼9,000 thermal contraction polygons. We estimate ice beneath these polygons to be on the order of tens of cm from the surface, which is sufficiently shallow to be accessible for potential in situ resource utilization (ISRU). Recent impact craters that have been excavated into ice further suggest the presence of near-surface ice. Finally, the occurrence of ice and processes such as ice sublimation are likely responsible for the formation and subsequent modification of several observed features, including expanded craters, brain coral terrain, arcuate ridges, and thermal contraction polygons modified by sublimation. These results provide valuable insights into the ice distribution in the northern mid-latitudes and support the potential utilization of accessible ice resources for future human exploration efforts.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JE008724","usgsCitation":"Luzzi, E., Heldmann, J.L., Williams, K.E., Nodjoumi, G., Deutsch, A., and Sehlke, A., 2025, Geomorphological evidence of near-surface ice at candidate landing sites in northern Amazonis Planitia, Mars: JGR Planets, v. 130, no. 5, e2024JE008724, 38 p., https://doi.org/10.1029/2024JE008724.","productDescription":"e2024JE008724, 38 p.","ipdsId":"IP-163826","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":490104,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024je008724","text":"Publisher Index Page"},{"id":485515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Luzzi, Erica","contributorId":354637,"corporation":false,"usgs":false,"family":"Luzzi","given":"Erica","affiliations":[{"id":84643,"text":"Bay Area Environmental Research Institute","active":true,"usgs":false}],"preferred":false,"id":936045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heldmann, Jennifer L.","contributorId":197096,"corporation":false,"usgs":false,"family":"Heldmann","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":936046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":936048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nodjoumi, Giacomo","contributorId":354639,"corporation":false,"usgs":false,"family":"Nodjoumi","given":"Giacomo","affiliations":[{"id":84644,"text":"Constructor University, Bremen, Germany","active":true,"usgs":false}],"preferred":false,"id":936049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deutsch, Ariel","contributorId":354640,"corporation":false,"usgs":false,"family":"Deutsch","given":"Ariel","affiliations":[{"id":84643,"text":"Bay Area Environmental Research Institute","active":true,"usgs":false}],"preferred":false,"id":936050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sehlke, Alexander","contributorId":354638,"corporation":false,"usgs":false,"family":"Sehlke","given":"Alexander","affiliations":[{"id":84643,"text":"Bay Area Environmental Research Institute","active":true,"usgs":false}],"preferred":false,"id":936047,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267407,"text":"70267407 - 2025 - Groundwater dominates snowmelt runoff and controls streamflow efficiency in the western United States","interactions":[],"lastModifiedDate":"2025-05-23T15:00:48.753331","indexId":"70267407","displayToPublicDate":"2025-05-03T09:42:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater dominates snowmelt runoff and controls streamflow efficiency in the western United States","docAbstract":"<p><span>Climate change in seasonally snow-covered mountain catchments is reducing water supply and decreasing streamflow predictability. Here, we use tritium age dating to show that contrary to the common assumption that&nbsp;snowmelt quickly contributes to runoff, streamflow during snowmelt in western US catchments is dominated by older groundwater. The average age of streamwater during snowmelt runoff (5.7 ± 4.3 years) was intermediate to the average age of groundwater (10.4 ± 4.5 years) and recent precipitation, indicating that 58% (±34%) of snowmelt runoff was derived from groundwater. Water ages, streamflow, and groundwater storage were mediated by bedrock geology: low-permeability hard rock/shale catchments exhibited younger ages, less storage, and more efficient streamflow generation than high-permeability sandstone/clastic catchments. Our results demonstrate that snowmelt runoff is the result of multiple prior years of climate mediated by groundwater storage. Including these interactions will be crucial for predicting water resources as climate and landscape&nbsp;changes accelerate.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02303-3","usgsCitation":"Brooks, P.D., Solomon, D., Kampf, S., Warix, S., Bern, C.R., Barnard, D., Barnard, H.R., Carling, G.T., Carroll, R., Chorover, J., Harpold, A., Lohse, K., Meza, F., McIntosh, J., Neilson, B., Sears, M., and Wolf, M., 2025, Groundwater dominates snowmelt runoff and controls streamflow efficiency in the western United States: Communications Earth & Environment, v. 6, 341, 8 p., https://doi.org/10.1038/s43247-025-02303-3.","productDescription":"341, 8 p.","ipdsId":"IP-172013","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":487554,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02303-3","text":"Publisher Index Page"},{"id":486506,"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              -104.0181665891808,\n              48.94832156904479\n            ],\n            [\n              -125.33002798384842,\n              48.94832156904479\n            ],\n            [\n              -125.33002798384842,\n              31.337662810224828\n            ],\n            [\n              -104.0181665891808,\n              31.337662810224828\n            ],\n            [\n              -104.0181665891808,\n              48.94832156904479\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Brooks, Paul D.","contributorId":139471,"corporation":false,"usgs":false,"family":"Brooks","given":"Paul","email":"","middleInitial":"D.","affiliations":[{"id":12566,"text":"Department of Geology and Geophysics, Unviersity of Utah","active":true,"usgs":false}],"preferred":false,"id":938113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solomon, D. Kip","contributorId":71441,"corporation":false,"usgs":true,"family":"Solomon","given":"D. Kip","affiliations":[],"preferred":false,"id":938114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kampf, Stephanie","contributorId":346221,"corporation":false,"usgs":false,"family":"Kampf","given":"Stephanie","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":938115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warix, Sara","contributorId":355736,"corporation":false,"usgs":false,"family":"Warix","given":"Sara","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":938116,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":201152,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938117,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnard, David","contributorId":355737,"corporation":false,"usgs":false,"family":"Barnard","given":"David","affiliations":[{"id":37009,"text":"USDA Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":938118,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnard, Holly R.","contributorId":257523,"corporation":false,"usgs":false,"family":"Barnard","given":"Holly","email":"","middleInitial":"R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":938119,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carling, Gregory T.","contributorId":11964,"corporation":false,"usgs":true,"family":"Carling","given":"Gregory","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":938120,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carroll, Rosemary ","contributorId":222680,"corporation":false,"usgs":false,"family":"Carroll","given":"Rosemary ","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":938121,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chorover, Jon 0000-0001-9497-0195","orcid":"https://orcid.org/0000-0001-9497-0195","contributorId":139472,"corporation":false,"usgs":false,"family":"Chorover","given":"Jon","email":"","affiliations":[],"preferred":false,"id":938122,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Harpold, Adrian","contributorId":269949,"corporation":false,"usgs":false,"family":"Harpold","given":"Adrian","affiliations":[{"id":56052,"text":"University of Nevada, Reno, Department of Natural Resources and Environmental Science","active":true,"usgs":false}],"preferred":false,"id":938123,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lohse, Kathleen","contributorId":355745,"corporation":false,"usgs":false,"family":"Lohse","given":"Kathleen","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":938124,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Meza, Fabiola","contributorId":355746,"corporation":false,"usgs":false,"family":"Meza","given":"Fabiola","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":938125,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McIntosh, Jennifer","contributorId":352256,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":938126,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Neilson, Bethany 0000-0001-8829-5082","orcid":"https://orcid.org/0000-0001-8829-5082","contributorId":257399,"corporation":false,"usgs":false,"family":"Neilson","given":"Bethany","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":938127,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sears, Megan","contributorId":354374,"corporation":false,"usgs":false,"family":"Sears","given":"Megan","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":938128,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wolf, Margaret","contributorId":355756,"corporation":false,"usgs":false,"family":"Wolf","given":"Margaret","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":938129,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70266346,"text":"70266346 - 2025 - One-hundred fundamental, open questions to integrate methodological approaches in lake ice research","interactions":[],"lastModifiedDate":"2025-05-05T14:19:08.992831","indexId":"70266346","displayToPublicDate":"2025-05-03T09:11:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"One-hundred fundamental, open questions to integrate methodological approaches in lake ice research","docAbstract":"<p><span>The rate of technological innovation within aquatic sciences outpaces the collective ability of&nbsp;individual scientists within the field to make appropriate use of those technologies. The process of in&nbsp;situ&nbsp;lake sampling remains the primary choice to comprehensively understand an aquatic ecosystem at local&nbsp;scales; however, the impact of climate change on lakes necessitates the rapid advancement of understanding and the incorporation of lakes on both landscape and global scales. Three fields driving innovation within winter limnology that we address here are autonomous real-time in situ monitoring, remote sensing, and modeling. The recent progress in low-power in situ sensing and data telemetry allows continuous tracing of under-ice processes in selected lakes as well as the development of global lake observational networks. Remote sensing offers consistent monitoring of numerous systems, allowing limnologists to ask&nbsp;certain questions across large scales. Models are advancing and historically come in different types (process-based or statistical data-driven), with the recent technological advancements and integration of&nbsp;machine learning and hybrid process-based/statistical models. Lake ice modeling enhances our understanding of lake dynamics and allows for projections under future climate warming scenarios. To encourage the merging of technological innovation within limnological research of the less-studied winter period, we have accumulated both essential details on the history and uses of contemporary sampling, remote sensing, and modeling techniques. We crafted 100 questions in the field of winter limnology that aim to facilitate the cross-pollination of intensive and extensive modes of study to broaden knowledge of the winter period.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR039042","usgsCitation":"Culpepper, J., Sharma, S., Gunn, G., Magee, M., Meyer, M.F., Anderson, E., Arp, C.D., Cooley, S., Dolan, W., Dugan, H., Duguay, C.R., Jones, B.C., Kirillin, G., Ladwig, R., Lepparanta, M., Long, D., Magnuson, J.J., Pavelsky, T., Piccolroaz, S., Robertson, D., Steele, B., Tom, M., Weyhenmeyer, G.A., Woolway, R., Xenopoulos, M., and Yang, X., 2025, One-hundred fundamental, open questions to integrate methodological approaches in lake ice research: Water Resources Research, v. 616, no. 5, e2024WR039042, 21 p., https://doi.org/10.1029/2024WR039042.","productDescription":"e2024WR039042, 21 p.","ipdsId":"IP-157843","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":487946,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr039042","text":"Publisher Index Page"},{"id":485373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"616","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Culpepper, Joshua","contributorId":244067,"corporation":false,"usgs":false,"family":"Culpepper","given":"Joshua","email":"","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":935694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharma, Sapna","contributorId":150332,"corporation":false,"usgs":false,"family":"Sharma","given":"Sapna","email":"","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":935695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gunn, Grant","contributorId":354441,"corporation":false,"usgs":false,"family":"Gunn","given":"Grant","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":935696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magee, Madeline","contributorId":172077,"corporation":false,"usgs":false,"family":"Magee","given":"Madeline","affiliations":[{"id":5083,"text":"University of British Columbia, Department of Zoology, Biodiversity Research Centre and Beaty Biodiversity  Museum","active":true,"usgs":false}],"preferred":false,"id":935697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 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Limnology, University of Wisconsin-Madison, Madison, Wisconsin, USA","active":true,"usgs":false}],"preferred":false,"id":935710,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Pavelsky, Tamlin","contributorId":149629,"corporation":false,"usgs":false,"family":"Pavelsky","given":"Tamlin","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":935711,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Piccolroaz, Sebastiano","contributorId":297277,"corporation":false,"usgs":false,"family":"Piccolroaz","given":"Sebastiano","affiliations":[{"id":64342,"text":"University of Trento, Department of Civil, Environmental and Mechanical Engineering, Trento, Italy","active":true,"usgs":false}],"preferred":false,"id":935712,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":935713,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Steele, Bethel 0000-0003-4365-4103","orcid":"https://orcid.org/0000-0003-4365-4103","contributorId":329785,"corporation":false,"usgs":false,"family":"Steele","given":"Bethel","email":"","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":935714,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Tom, Manu","contributorId":354449,"corporation":false,"usgs":false,"family":"Tom","given":"Manu","affiliations":[{"id":27365,"text":"NASA Jet Propulsion 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Iesytn","contributorId":354452,"corporation":false,"usgs":false,"family":"Woolway","given":"R. Iesytn","affiliations":[{"id":36207,"text":"Bangor University","active":true,"usgs":false}],"preferred":false,"id":935717,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Xenopoulos, Marguerite A.","contributorId":138623,"corporation":false,"usgs":false,"family":"Xenopoulos","given":"Marguerite A.","affiliations":[{"id":12467,"text":"Department of Biology, Trent University, Peterborough, ON  CA","active":true,"usgs":false}],"preferred":false,"id":935718,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Yang, Xiao 0000-0002-0046-832X","orcid":"https://orcid.org/0000-0002-0046-832X","contributorId":268230,"corporation":false,"usgs":false,"family":"Yang","given":"Xiao","email":"","affiliations":[{"id":55603,"text":"University of North Carolina Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":935719,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}}
,{"id":70269965,"text":"70269965 - 2025 - Reproductive characteristics and spawning potential ratio modeling of a vulnerable riverine specialist in the lower unchannelized Missouri River, USA","interactions":[],"lastModifiedDate":"2025-08-08T13:20:44.761389","indexId":"70269965","displayToPublicDate":"2025-05-03T08:20:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive characteristics and spawning potential ratio modeling of a vulnerable riverine specialist in the lower unchannelized Missouri River, USA","docAbstract":"<p><span>Reproductive characteristics for populations of imperiled, non-game species are not regularly studied but may be important for identifying factors associated with their population sustainability. Understanding reproductive traits of vulnerable species, particularly long-lived species, may provide insight for implementing management actions to respond to potential overharvest. This study aimed to assess the reproductive characteristics of a stable population of long-lived blue suckers (</span><i>Cycleptus elongatus</i><span>) in the unchannelized Missouri River in South Dakota. We obtained demographic information and gonads from 182 blue suckers collected in trammel nets in March 2021 and 2022. We used Bayesian generalized linear mixed-effects models to assess length and weight relationships with gonadosomatic index (GSI) and fecundity and used spawning potential ratios to model the influence of four minimum length limit scenarios. Total lengths of sampled fish ranged from 560 to 821 mm. Female GSI increased with length to ∼730 mm before declining, and male GSI remained consistent across lengths. Fecundity increased linearly with weight and with length to around 750 mm, after which the rate of increase slowed. Using a recent natural mortality estimate for this population, the spawning potential ratio under current no-limit regulations decreased rapidly as fishing mortality approached 0.10 but implementing a minimum length limit (e.g. 610- or 660 mm) could prevent the spawning potential ratio from falling below acceptable limits (0.2–0.3) at moderate-to-high fishing mortality values. This study provides necessary information about the reproductive characteristics of vulnerable, non-game species and demonstrates how spawning potential ratio modeling can be used for species that receive less management focus.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2025.107386","usgsCitation":"LaBrie, L.A., Carlson, T., Wesner, J., Pasbrig, C., Chipps, S.R., and Schall, B., 2025, Reproductive characteristics and spawning potential ratio modeling of a vulnerable riverine specialist in the lower unchannelized Missouri River, USA: Fisheries Research, v. 286, 107386, 11 p., https://doi.org/10.1016/j.fishres.2025.107386.","productDescription":"107386, 11 p.","ipdsId":"IP-171427","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493714,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska, South Dakota","otherGeospatial":"Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.4400699587332,\n              43.13427424948017\n            ],\n            [\n              -98.4400699587332,\n              42.33478692919812\n            ],\n            [\n              -96.64857711623827,\n              42.33478692919812\n            ],\n            [\n              -96.64857711623827,\n              43.13427424948017\n            ],\n            [\n              -98.4400699587332,\n              43.13427424948017\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"286","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"LaBrie, Lindsey A.P.","contributorId":349677,"corporation":false,"usgs":false,"family":"LaBrie","given":"Lindsey","middleInitial":"A.P.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":945065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlson, Tanner L.","contributorId":359232,"corporation":false,"usgs":false,"family":"Carlson","given":"Tanner L.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":945066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wesner, Jeff S.","contributorId":342343,"corporation":false,"usgs":false,"family":"Wesner","given":"Jeff S.","affiliations":[{"id":16684,"text":"University of South Dakota","active":true,"usgs":false}],"preferred":false,"id":945067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pasbrig, Chelsey A.","contributorId":359233,"corporation":false,"usgs":false,"family":"Pasbrig","given":"Chelsey A.","affiliations":[{"id":37104,"text":"South Dakota Department of Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":945068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schall, Benjamin J.","contributorId":359236,"corporation":false,"usgs":false,"family":"Schall","given":"Benjamin J.","affiliations":[{"id":37104,"text":"South Dakota Department of Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":945070,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70266455,"text":"70266455 - 2025 - Occurrence of pesticides in Oregon coastal waters","interactions":[],"lastModifiedDate":"2025-08-04T15:43:32.870762","indexId":"70266455","displayToPublicDate":"2025-05-02T13:48:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of pesticides in Oregon coastal waters","docAbstract":"<p><span>Pesticides are used globally for a wide range of applications including agricultural, forestry, roadsides, freshwater systems, and personal use. While pesticides have ensured efficient crop production, they are frequently transported away from application sites and are found in almost all terrestrial and aquatic environments. Pesticides are frequently detected in watersheds and rivers, but there is limited research on pesticide presence in United States (U.S.) marine environments. To address these data gaps, this study documents pesticide occurrence in U.S. coastal waters, providing new understanding of pesticide contamination in offshore environments. Polar organic chemical integrative samples (POCIS) were deployed at five sites along the Oregon, U.S. coast to examine the occurrence of pesticides. Between two and seven different pesticides were detected at every site, with herbicides diuron, and atrazine, and fungicides carbendazim, propiconazole, and tebuconazole being the most frequently detected at three sites. The prevalence of herbicides and fungicides in coastal waters indicates a connection between terrestrial pesticide practices and marine contamination. These findings provide new insights into the presence of pesticides in coastal nearshore and offshore waters and suggest that a comprehensive monitoring effort could enhance our understanding of sources, transport, and pesticide risks for marine species both nearshore and offshore.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf117","usgsCitation":"Bleil, B., Granek, E.F., and Hladik, M.L., 2025, Occurrence of pesticides in Oregon coastal waters: Environmental Toxicology and Chemistry, v. 44, no. 8, p. 2098-2107, https://doi.org/10.1093/etojnl/vgaf117.","productDescription":"10 p.","startPage":"2098","endPage":"2107","ipdsId":"IP-172417","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":490106,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgaf117","text":"Publisher Index Page"},{"id":485519,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.52469463471645,\n              46.2\n            ],\n            [\n              -124.93812021892725,\n              46.2\n            ],\n            [\n              -124.93812021892725,\n              42.68388180300266\n            ],\n            [\n              -123.52469463471645,\n              42.68388180300266\n            ],\n            [\n              -123.52469463471645,\n              46.2\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Bleil, Bria","contributorId":354634,"corporation":false,"usgs":false,"family":"Bleil","given":"Bria","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":936018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granek, Elise F.","contributorId":176630,"corporation":false,"usgs":false,"family":"Granek","given":"Elise","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":936019,"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":936020,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264176,"text":"70264176 - 2025 - Overview of The SCEC/USGS Community Stress Drop Validation Study using the 2019 Ridgecrest earthquake sequence","interactions":[],"lastModifiedDate":"2025-05-28T15:02:07.197713","indexId":"70264176","displayToPublicDate":"2025-05-02T10:46:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Overview of The SCEC/USGS Community Stress Drop Validation Study using the 2019 Ridgecrest earthquake sequence","docAbstract":"<p><span>We present initial findings from the ongoing Community Stress Drop Validation Study to compare spectral stress‐drop estimates for earthquakes in the 2019 Ridgecrest, California, sequence. This study uses a unified dataset to independently estimate earthquake source parameters through various methods. Stress drop, which denotes the change in average shear stress along a fault during earthquake rupture, is a critical parameter in earthquake science, impacting ground motion, rupture simulation, and source physics. Spectral stress drop is commonly derived by fitting the amplitude‐spectrum shape, but estimates can vary substantially across studies for individual earthquakes. Sponsored jointly by the U.S. Geological Survey and the Statewide (previously, Southern) California Earthquake Center our community study aims to elucidate sources of variability and uncertainty in earthquake spectral stress‐drop estimates through quantitative comparison of submitted results from independent analyses. The dataset includes nearly 13,000 earthquakes ranging from M&nbsp;1 to 7 during a two‐week period of the 2019 Ridgecrest sequence, recorded within a 1° radius. In this article, we report on 56 unique submissions received from 20 different groups, detailing spectral corner frequencies (or source durations), moment magnitudes, and estimated spectral stress drops. Methods employed encompass spectral ratio analysis, spectral decomposition and inversion, finite‐fault modeling, ground‐motion‐based approaches, and combined methods. Initial analysis reveals significant scatter across submitted spectral stress drops spanning over six orders of magnitude. However, we can identify between‐method trends and offsets within the data to mitigate this variability. Averaging submissions for a prioritized subset of 56 events shows reduced variability of spectral stress drop, indicating overall consistency in recovered spectral stress‐drop values.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240158","usgsCitation":"Abercrombie, R.E., Baltay Sundstrom, A.S., Chu, S., Taira, T., Bindi, D., Boyd, O.S., Chen, X., Cochran, E.S., Devin, E., Dreger, D., Ellsworth, W., Wenyuan, F., Harrington, R., Huang, Y., Kemna, K., Liu, M., Oth, A., Parker, G.A., Pennington, C., Picozzi, M., Ruhl, C., Shearer, P., Spallarossa, D., Trugman, D., Vandevert, I., Wu, Q., Yoon, C., Yu, E., Beroza, G.C., Eulenfeld, T., Knudson, T., Mayeda, K., Morasca, P., Neely, J.S., Roman-Nieves, J., Satriano, C., Supino, M., Walter, W.R., Archuleta, R., Atkinson, G., Calderoni, G., Ji, C., Yang, H., and Zhang, J., 2025, Overview of The SCEC/USGS Community Stress Drop Validation Study using the 2019 Ridgecrest earthquake sequence: 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,{"id":70270854,"text":"70270854 - 2025 - Maintaining frog monitoring and population on the Las Cienegas National Conservation Area","interactions":[],"lastModifiedDate":"2025-08-26T15:52:56.783321","indexId":"70270854","displayToPublicDate":"2025-05-02T10:43:46","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-167-2025","title":"Maintaining frog monitoring and population on the Las Cienegas National Conservation Area","docAbstract":"<p>This report summarizes and analyzes the data collected on the Chiricahua Leopard Frog (CLF) populations on the Las Ciénegas National Conservation Area (LCNCA) in southeast Arizona, U.S.A., during the reporting period covered under this funding agreement from September 2020 through October 2024 and place this analysis in historical context of the previous monitoring efforts. The major findings of this report are: </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">1. We conducted a total of 465 surveys across 46 sites on the LCNCA and the associated Elgin Buffer Zone during September 2020 through October 2024. We conducted 323 surveys across the 19 core CLF monitoring sites on the LCNCA and 112 surveys across 13 core buffer zone sites. </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">2. We detected CLF at each of our 19 core LCNCA monitoring sites during at least one year in which we conducted surveys across the year’s entire field season (i.e., 2021-2024). We detected CLF reproduction in each of these four years at four sites and suspected reproduction to have occurred during all four years at a fifth site. We did not detect CLF reproduction at seven of these 19 core monitoring sites during the report period. We assisted with six CLF translocations to sites on the LCNA during the report period. </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">3. Site occupancy rates across the LCNCA during the report period remain consistent with those reported during previous years and continue to indicate the presence of a stable CLF metapopulation within the LCNCA. </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">4. Monitoring efforts in the Elgin Buffer Zone continue to be successful at preventing reinvasion by invasive American bullfrogs to the LCNCA. We detected and removed bullfrogs from three sites in the Elgin Buffer Zone and no bullfrogs were detected during 2024. The LCNCA continues to remain bullfrog free since 2014.</p>","language":"English","publisher":"US Fish and Wildlife Service","doi":"10.3996/10.3996/css46271852","usgsCitation":"Bauder, J.M., Prewitt, C.L., and Hall, D., 2025, Maintaining frog monitoring and population on the Las Cienegas National Conservation Area: Cooperator Science Series CSS-167-2025, ii, 29 p., https://doi.org/10.3996/10.3996/css46271852.","productDescription":"ii, 29 p.","ipdsId":"IP-172427","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":494878,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/maintaining-frog-monitoring-and-population-las-cienegas-national-conservation-area#:~:text=Monitoring%20efforts%20in%20the%20Elgin,remain%20bullfrog%20free%20since%202017.","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Las Cienegas National Conservation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.29057445827398,\n              32.013975682171306\n            ],\n            [\n              -110.78033498621203,\n              32.013975682171306\n            ],\n            [\n              -110.78033498621203,\n              31.548274767559434\n            ],\n            [\n              -110.29057445827398,\n              31.548274767559434\n            ],\n            [\n              -110.29057445827398,\n              32.013975682171306\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"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":947218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prewitt, Chris L.","contributorId":360568,"corporation":false,"usgs":false,"family":"Prewitt","given":"Chris","middleInitial":"L.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":947219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, David","contributorId":360569,"corporation":false,"usgs":false,"family":"Hall","given":"David","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":947220,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266478,"text":"70266478 - 2025 - Introduction to the special section on improving measurements of earthquake source parameters","interactions":[],"lastModifiedDate":"2025-05-28T14:58:19.622834","indexId":"70266478","displayToPublicDate":"2025-05-02T10:00:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to the special section on improving measurements of earthquake source parameters","docAbstract":"<p><span>Earthquake source parameters such as magnitude, seismic moment, source dimension, stress drop, and radiated energy are fundamental to understanding earthquake physics, and are also key ingredients in earthquake ground‐motion modeling, rupture simulation, and statistical seismology. However, the uncertainties in these parameters estimated from the radiated seismic wavefield are large due to variability in approaches, including site and attenuation characterizations, and so estimates for an individual earthquake made by different studies can vary greatly. Estimating spectral source parameters remains a popular topic, due to a combination of their intrinsic importance and their apparent ease of measurement, but also a controversial one, due to many sources of variability and large uncertainty. The available methods coupled with necessary parameter choices and assumptions in the analysis make it challenging for researchers to apply methods or understand the reliability in results or reported source parameters. This Special Section on&nbsp;</span><i>Improving Measurements of Earthquake Source Parameters</i><span>&nbsp;showcasing comparisons between methods and studies seeks to alleviate some of these difficulties to help the community identify the important components and trade‐offs of decomposing recorded seismograms into their source, path, and site components.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250055","usgsCitation":"Baltay Sundstrom, A.S., Abercrombie, R., Oth, A., and Uchide, T., 2025, Introduction to the special section on improving measurements of earthquake source parameters: Bulletin of the Seismological Society of America, v. 115, no. 3, p. 723-733, https://doi.org/10.1785/0120250055.","productDescription":"11 p.","startPage":"723","endPage":"733","ipdsId":"IP-177219","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":485558,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":936169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":936170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oth, Adrien 0000-0003-4859-6504","orcid":"https://orcid.org/0000-0003-4859-6504","contributorId":352096,"corporation":false,"usgs":false,"family":"Oth","given":"Adrien","affiliations":[{"id":84096,"text":"Walferdange Luxembourg","active":true,"usgs":false}],"preferred":false,"id":936171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Uchide, Takahiko","contributorId":293567,"corporation":false,"usgs":false,"family":"Uchide","given":"Takahiko","email":"","affiliations":[{"id":27746,"text":"Geological Survey of Japan","active":true,"usgs":false}],"preferred":false,"id":936172,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70265981,"text":"ofr20251018 - 2025 - Gillnet sampling methods for monitoring status and trends of Clear Lake Hitch in Clear Lake, Lake County, California","interactions":[],"lastModifiedDate":"2025-05-05T14:01:14.714111","indexId":"ofr20251018","displayToPublicDate":"2025-05-02T08:57:25","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1018","displayTitle":"Gillnet Sampling Methods for Monitoring Status and Trends of Clear Lake Hitch in Clear Lake, Lake County, California","title":"Gillnet sampling methods for monitoring status and trends of Clear Lake Hitch in Clear Lake, Lake County, California","docAbstract":"<p>The Clear Lake Hitch (<i>Lavinia exilicauda chi</i>) is a minnow endemic to Clear Lake, Lake County, California. This species is listed as a threatened species under the California Endangered Species Act and has been petitioned for listing under the United States Endangered Species Act. In 2017, the U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, initiated a Clear Lake Hitch monitoring program to generate information annually on relative abundance and size structure. The monitoring program was organized around a conceptual life cycle diagram, focused on life stages approximately ≥1 year of age, and incorporated a probabilistic study design involving approximately 10 days of short-duration (approximately 40 minutes) gillnet sampling undertaken during daytime. This report documents monitoring program activities from 2017 to 2023 and presents the results of an evaluation of the monitoring program. The evaluation was done after the 2023 sampling event, following 6 years of implementation, which is the approximate generation cycle of Clear Lake Hitch. The results of the evaluation indicated the following: (1) gillnets used in the monitoring program were effective at capturing Clear Lake Hitch aged 1 year or more; (2) the study design was effective at generating the information needed to characterize Clear Lake Hitch relative abundance and size structure, and meaningful operational efficiencies can be obtained by implementing simple changes; and (3) future sampling can be scaled to approximately 4–7 days of effort and maintain at least 80-percent confidence in detecting at least a 25-percent change in abundance, assuming past work productivity is maintained and future data are typical of previous data.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251018","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","programNote":"Water Resources Mission Area","usgsCitation":"Feyrer, F., Young, M.J., Huntsman, B., Violette, V., Clause, J.K., 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0000-0003-1253-2349","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":211771,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntsman, Brock 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":223101,"corporation":false,"usgs":true,"family":"Huntsman","given":"Brock","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Violette, Veronica 0000-0002-7390-4655 vviolette@usgs.gov","orcid":"https://orcid.org/0000-0002-7390-4655","contributorId":353655,"corporation":false,"usgs":false,"family":"Violette","given":"Veronica","email":"vviolette@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":934247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clause, Justin K. 0000-0003-0205-0821","orcid":"https://orcid.org/0000-0003-0205-0821","contributorId":353656,"corporation":false,"usgs":false,"family":"Clause","given":"Justin K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":934248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buxton, Jordan 0000-0002-7233-0944","orcid":"https://orcid.org/0000-0002-7233-0944","contributorId":353657,"corporation":false,"usgs":false,"family":"Buxton","given":"Jordan","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":934249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Palm, Danielle 0000-0003-3045-5287","orcid":"https://orcid.org/0000-0003-3045-5287","contributorId":353658,"corporation":false,"usgs":false,"family":"Palm","given":"Danielle","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":934250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wulff, Marissa L. 0000-0003-0121-9066","orcid":"https://orcid.org/0000-0003-0121-9066","contributorId":229534,"corporation":false,"usgs":true,"family":"Wulff","given":"Marissa","email":"","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934251,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gronemyer, Jeff 0000-0002-7344-7343","orcid":"https://orcid.org/0000-0002-7344-7343","contributorId":353659,"corporation":false,"usgs":false,"family":"Gronemyer","given":"Jeff","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":934252,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Santana, Luis","contributorId":353660,"corporation":false,"usgs":false,"family":"Santana","given":"Luis","affiliations":[{"id":83158,"text":"Robinson Rancheria Pomo Indians of California","active":true,"usgs":false}],"preferred":false,"id":934253,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70266439,"text":"70266439 - 2025 - Utility of a swath laser rangefinder for characterizing mass movement flow depth and landslide initiation","interactions":[],"lastModifiedDate":"2025-07-21T15:29:24.046385","indexId":"70266439","displayToPublicDate":"2025-05-02T08:57:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Utility of a swath laser rangefinder for characterizing mass movement flow depth and landslide initiation","docAbstract":"<p><span>Mass movements such as debris flows and landslides are some of the deadliest and most destructive natural hazards occurring mostly in alpine and volcanic settings. With ever-growing populations located downslope from known debris flow channels, early warning systems can help prevent loss of life. Geophysical and technological advances have improved monitoring and detection capabilities in recent years; however, they can often be cost prohibitive and resource intensive, making them less accessible to disadvantaged populations. We tested and validated a readily available and cost-effective two-dimensional swath laser rangefinder in a controlled experimental setting against two independent flow-depth lasers. The swath laser successfully recorded cross-sectional changes in flow depth from four debris flows and a water-only flood, in addition to geomorphic changes associated with landslide initiation. The results suggest that a swath laser could be integrated into systems for debris flow detection and characterization of mass movements in natural settings, thus improving the ability to monitor these hazards.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10346-025-02533-8","usgsCitation":"Obryk, M., Bedinger, E., Iezzi, A.M., Bryant, E.H., Allstadt, K.E., George, D.L., and Mirus, B., 2025, Utility of a swath laser rangefinder for characterizing mass movement flow depth and landslide initiation: Landslides, v. 22, p. 2693-2700, https://doi.org/10.1007/s10346-025-02533-8.","productDescription":"8 p.","startPage":"2693","endPage":"2700","ipdsId":"IP-171813","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":485443,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Obryk, Maciej K. 0000-0002-8182-8656","orcid":"https://orcid.org/0000-0002-8182-8656","contributorId":203477,"corporation":false,"usgs":true,"family":"Obryk","given":"Maciej","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":935931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedinger, Emily Christina 0000-0002-5717-6395","orcid":"https://orcid.org/0000-0002-5717-6395","contributorId":316272,"corporation":false,"usgs":true,"family":"Bedinger","given":"Emily Christina","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":935932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iezzi, Alexandra M. 0000-0002-6782-7681","orcid":"https://orcid.org/0000-0002-6782-7681","contributorId":304206,"corporation":false,"usgs":true,"family":"Iezzi","given":"Alexandra","email":"","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bryant, Emily H 0000-0003-4062-9711","orcid":"https://orcid.org/0000-0003-4062-9711","contributorId":344366,"corporation":false,"usgs":true,"family":"Bryant","given":"Emily","email":"","middleInitial":"H","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":935935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":935936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":935937,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70266394,"text":"70266394 - 2025 - An early Holocene wet period in the southwestern United States","interactions":[],"lastModifiedDate":"2025-08-04T15:42:14.492448","indexId":"70266394","displayToPublicDate":"2025-05-02T08:37:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"An early Holocene wet period in the southwestern United States","docAbstract":"<p><span>Multiple generations of spring-fed streams traversed ∼800 km</span><sup>2</sup><span>&nbsp;of the Las Vegas Valley in southern Nevada between ca. 10.9 ka and 8.5 ka, depositing an extensive tufa network. The scale of this network and diversity of tufa morphologies is novel in North America and offers an opportunity to obtain quantitative paleoclimate data for the region during the early Holocene. We determined isotopic compositions and estimated past temperatures using clumped isotope data from early Holocene tufa on the valley floor (698 m) as well as tufa forming today at higher elevation in the nearby Spring Mountains at Cold Creek Spring (1856 m). Modern and fossil tufa yielded comparably low δ</span><sup>18</sup><span>O values, implying that source waters for both were derived from high-elevation winter precipitation. Clumped isotope temperatures of modern tufa average 15.8 ± 2.5 °C, aligning with mean summer temperatures of the emergent spring water, and indicate equilibrium conditions of tufa formation. The early Holocene tufa yielded similar clumped isotope temperatures, averaging 15.2 ± 3.9 °C, meaning it precipitated at temperatures that occur at much higher elevations today. The Las Vegas tufa record, combined with nearby and temporally correlative paleospring and lacustrine records, suggest that cool/wet conditions prevailed throughout the Mojave Desert during the early Holocene. These records also demonstrate that spring ecosystems responded to millennial-scale hydroclimate variations that supersede climate change driven solely by insolation. The previously unrecognized pattern of ecosystem response to hydroclimate documented here may assist in understanding climate drivers for the early Holocene and provide critical information for the fate of groundwater-dependent ecosystems in the southwestern United States.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G53174.1","usgsCitation":"Springer, K.B., Hudson, A.M., Pigati, J.S., Huntington, K.W., and Schauer, A.J., 2025, An early Holocene wet period in the southwestern United States: Geology, v. 53, no. 8, p. 631-635, https://doi.org/10.1130/G53174.1.","productDescription":"5 p.","startPage":"631","endPage":"635","ipdsId":"IP-147460","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":485440,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Las Vegas Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.75,\n              36.75\n              ],\n            [\n              -115.75,\n              36\n            ],\n            [\n              -115,\n              36\n            ],\n            [\n              -115,\n              36.75\n            ],\n            [\n              -115.75,\n              36.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"53","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":935810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":935811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":935812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Katharine W.","contributorId":195423,"corporation":false,"usgs":false,"family":"Huntington","given":"Katharine","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":935813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schauer, Andrew J.","contributorId":140713,"corporation":false,"usgs":false,"family":"Schauer","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":935814,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272582,"text":"70272582 - 2025 - Spatially explicit capture-mark-recapture to evaluate demographic status of the Louisiana black bear","interactions":[],"lastModifiedDate":"2025-11-24T15:39:23.408333","indexId":"70272582","displayToPublicDate":"2025-05-02T08:25:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit capture-mark-recapture to evaluate demographic status of the Louisiana black bear","docAbstract":"<p><span>Louisiana black bears (</span><i>Ursus americanus luteolus</i><span>) occur in semi-isolated fragments of bottomland hardwood forest in the lower Mississippi Alluvial Valley and were listed as threatened under the United States Endangered Species Act in 1992. A population viability analysis based on radio-telemetry and capture-mark-recapture (CMR) data collected from 2002 to 2012 revealed that the probability of bears persisting in at least 1 subpopulation was &gt;0.999, which prompted the United States Fish and Wildlife Service to remove the Louisiana black bear from the threatened species list in 2016. A post-delisting monitoring plan was developed, which included continued noninvasive CMR surveys to monitor subpopulation trends. We used genetic CMR data based on non-invasively collected hair samples for a post-delisting assessment of the demographic status of the black bear subpopulations in Louisiana, USA. The assessment included primary range in the Tensas River Basin (TRB; 2006–2020), the Upper Atchafalaya River Basin (UARB; 2007–2020), and the Three Rivers Complex (TRC; 2014 and 2021), where bears had been reintroduced beginning in 2001, and adjacent areas of possible range expansion (i.e., secondary range). We used spatially explicit closed-population capture-recapture models to estimate abundance (</span><i>N</i><span>), density (</span><i>D</i><span>), and the realized population growth rate (</span><i>λ</i><span>) for female bears at TRB, UARB, and TRC. Model-averaged estimates of&nbsp;</span><i>N</i><span>&nbsp;for primary range at TRB ranged from 135 (95% CI = 121–149) female bears in 2006 to 140 (95% CI = 123–157) in 2020 with mean&nbsp;</span><i>λ</i><span>&nbsp;of 1.003 (95% CI = 0.991–1.015), which suggested a stable primary population. An estimated 56 (95% CI = 19–92) additional female bears occurred in secondary range at TRB in 2020. Model-averaged estimates of&nbsp;</span><i>N</i><span>&nbsp;for primary range at UARB ranged from 35 (95% CI = 28–43) females in 2007 to 33 (95% CI = 28–43) in 2020, with mean&nbsp;</span><i>λ</i><span> = 0.996 (95% CI = 0.972–1.020), again suggesting a stable population. We estimated 3 (95% CI = 0–6) additional female bears occurred in secondary range at UARB during 2020. The estimate of&nbsp;</span><i>N</i><span>&nbsp;at TRC was 28 (95% CI = 18–44) females in 2014 and 42 (95% CI = 19–94) in 2021. The number of bears in the secondary ranges suggests some bears may have emigrated from the primary areas and colonized secondary areas, likely facilitated by increases in bottomland hardwood forests adjacent to the core populations. The stable primary populations, the reintroduced population at TRC, and the number of bears in secondary range adjacent to TRB indicate the overall number of Louisiana black bears has increased since monitoring began.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70023","usgsCitation":"Clark, J.D., Adams, H.L., Augustine, B., Berry, J.R., Champagne, D., Davidson, M., Hanks, J., Laufenberg, J.S., and Murphy, S.M., 2025, Spatially explicit capture-mark-recapture to evaluate demographic status of the Louisiana black bear: Journal of Wildlife Management, v. 89, no. 5, e70023, 19 p., https://doi.org/10.1002/jwmg.70023.","productDescription":"e70023, 19 p.","ipdsId":"IP-167830","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.838224038886,\n              32.76704554295411\n            ],\n            [\n              -92.00742445013995,\n              31.79517824097138\n            ],\n            [\n              -91.838224038886,\n              30.560509464604237\n            ],\n            [\n              -91.33801935478277,\n              30.560509464604237\n            ],\n            [\n              -91.4335879079766,\n              31.604282104237825\n            ],\n            [\n              -90.97400724274002,\n              32.3050125648729\n            ],\n            [\n              -91.838224038886,\n              32.76704554295411\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":950851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Heidi L.","contributorId":362940,"corporation":false,"usgs":false,"family":"Adams","given":"Heidi","middleInitial":"L.","affiliations":[{"id":54517,"text":"Louisiana Tech University","active":true,"usgs":false}],"preferred":false,"id":950852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":950853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, John R. III","contributorId":362941,"corporation":false,"usgs":false,"family":"Berry","given":"John","suffix":"III","middleInitial":"R.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":950854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Champagne, Dustin","contributorId":362942,"corporation":false,"usgs":false,"family":"Champagne","given":"Dustin","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":950855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davidson, Maria","contributorId":139273,"corporation":false,"usgs":false,"family":"Davidson","given":"Maria","email":"","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":950856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanks, John","contributorId":360685,"corporation":false,"usgs":false,"family":"Hanks","given":"John","affiliations":[{"id":62256,"text":"LDWF","active":true,"usgs":false}],"preferred":false,"id":950857,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laufenberg, Jared S.","contributorId":28899,"corporation":false,"usgs":false,"family":"Laufenberg","given":"Jared","email":"","middleInitial":"S.","affiliations":[{"id":7006,"text":"Department of Forestry, Wildlife and Fisheries, University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":950858,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Sean M. 0000-0002-9404-8878","orcid":"https://orcid.org/0000-0002-9404-8878","contributorId":346967,"corporation":false,"usgs":true,"family":"Murphy","given":"Sean","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":950859,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70264061,"text":"70264061 - 2025 - Sources and risk factors for nitrate, pathogens, and fecal contamination of private wells in rural southwestern Wisconsin, USA","interactions":[],"lastModifiedDate":"2025-03-05T15:27:14.791487","indexId":"70264061","displayToPublicDate":"2025-05-02T08:20:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Sources and risk factors for nitrate, pathogens, and fecal contamination of private wells in rural southwestern Wisconsin, USA","docAbstract":"<p><span>Household well water can be degraded by contaminants from the land's surface, but private well owners lack means to protect the source water from neighboring disturbances. Rural residents of southwestern Wisconsin, USA, rely on private well water, and the combination of land use and fractured carbonate bedrock makes groundwater vulnerable to contamination. To identify the extent, sources, and risk factors of private well contamination, randomly selected wells sampled during two-day periods in fall (n = 301) and spring (n = 529) were analyzed for nitrate and indicator bacteria, and a subset (n = 138) was sampled across four seasonal events for analysis of pathogens and microbial source tracking markers by quantitative polymerase chain reaction. Risk factors representing land use, hydrology, geology, and well construction were analyzed for associations with contamination in multivariable models. The importance of risk factors varied by contaminant, illustrating the multifaceted nature of rural groundwater quality. Nitrate contamination was associated with agricultural land use, and wells with casings that extended below a shale aquitard accessed less contaminated water than those drawing water from above it. Human fecal microbes were detected in 64 wells (46%), and rainfall was the key risk factor for contamination, indicating that wastewater from septic systems was available to contaminate wells when transport conditions were favorable. Manure microbes from cattle/ruminants and pigs were detected in 33 and 13 wells, respectively, and concentrations increased with the hectarage of cultivated land near wells. Pathogen genes for viruses, bacteria, and protozoa were detected in 66 wells (48%), including more detections of zoonotic than human-specific pathogens, and human&nbsp;</span><i>Bacteroides</i><span>, an indicator of wastewater, was an equivocal predictor of pathogen presence in private wells. Characterizing important elements of the setting, like geology, and identifying sources and risk factors for contaminants can inform landscape-level policies to protect groundwater quality.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2025.123202","usgsCitation":"Stokdyk, J.P., Firnstahl, A.D., Bradbury, K., Muldoon, M.A., Kieke Jr., B., and Borchardt, M.A., 2025, Sources and risk factors for nitrate, pathogens, and fecal contamination of private wells in rural southwestern Wisconsin, USA: Water Research, v. 275, 123202, 13 p., https://doi.org/10.1016/j.watres.2025.123202.","productDescription":"123202, 13 p.","ipdsId":"IP-171110","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":482899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Grant County, Iowa County, Lafayette County","otherGeospatial":"southwestern 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,{"id":70266226,"text":"sir20255034 - 2025 - Nonstationary flood frequency analysis using regression in the north-central United States","interactions":[],"lastModifiedDate":"2025-05-13T17:26:06.410356","indexId":"sir20255034","displayToPublicDate":"2025-05-02T08:02:41","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5034","displayTitle":"Nonstationary Flood Frequency Analysis Using Regression in the North-Central United States","title":"Nonstationary flood frequency analysis using regression in the north-central United States","docAbstract":"<p>Traditional flood frequency methods assume that the statistical properties of peak streamflow do not change with time and may not be appropriate for many areas in the north-central United States. This study examines a nonstationary flood frequency analysis method that uses ordinary least squares linear regression to estimate flood magnitudes at U.S. Geological Survey streamgages that exhibit trends and change points in a nine-State region including Montana, North Dakota, South Dakota, Minnesota, Illinois, Iowa, Wisconsin, Missouri, and Michigan. Additionally, an extension of this method is introduced, which enables nonstationary flood frequency based on a statistical relation with a stochastic climate predictor.</p><p>Estimates of the 1-percent annual exceedance probability flood using regression equations to adjust for conditions in 2020 were computed at U.S. Geological Survey streamgages across the study area. Regression equations used either a time index or a climate variable as the explanatory variable for changes in peak streamflow. Of 153 candidate streamgages, the assumptions of time-adjusted analyses were met at 137 streamgages. Climate-adjusted flood frequency analyses were applicable at 98 streamgages based on annual precipitation, annual temperature, or annual snowfall. Time- and climate-adjusted methods produced similar estimates of the 1-percent annual exceedance probability flood magnitude at streamgages where both methods were applicable. Nonstationary estimates of the 1-percent annual exceedance probability flood were primarily greater than stationary estimates in eastern North and South Dakota, Minnesota, Iowa, Illinois, and parts of Missouri and less than stationary estimates in Montana, western North and South Dakota, and Wisconsin. The largest differences between stationary and nonstationary flood estimates were in North and South Dakota and Minnesota.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255034","collaboration":"Prepared in cooperation with the Illinois Department of Transportation, Iowa Department of Transportation, Michigan Department of Transportation, Minnesota Department of Transportation, Missouri Department of Transportation, Montana Department of Natural Resources and Conservation, North Dakota Department of Water Resources, South Dakota Department of Transportation, and Wisconsin Department of Transportation","usgsCitation":"Levin, S.B., 2025, Nonstationary flood frequency analysis using regression in the north-central United States: U.S. Geological Survey Scientific Investigations Report 2025–5034, 33 p., https://doi.org/10.3133/sir20255034.","productDescription":"Report: viii, 33 p.; 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/umid-water\" data-mce-href=\"https://www.usgs.gov/centers/umid-water\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>2280 Woodale Drive<br>Mounds View, MN 55112</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Data and Site Selection</li><li>Flood Frequency Methods</li><li>Estimation of Flood Frequency at Candidate Streamgages</li><li>Regional Applicability of Using Linear Regression in Nonstationary Flood Frequency</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-05-02","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Levin, Sara B. 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