{"pageNumber":"30","pageRowStart":"725","pageSize":"25","recordCount":165806,"records":[{"id":70273084,"text":"70273084 - 2026 - A time-space model of graphite mineral systems","interactions":[],"lastModifiedDate":"2026-03-23T14:05:12.786795","indexId":"70273084","displayToPublicDate":"2025-12-12T09:03:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"A time-space model of graphite mineral systems","docAbstract":"<p><span>Increasing demand for graphite in energy storage systems warrants review of graphite ore genesis in a mineral systems framework. Orogenic graphite encompasses the metamorphic and orogenic mineral systems that produce flake graphite and hydrothermal vein (lump and chip) graphite deposits, respectively. A common feature of orogenic graphite deposits is an association with upper amphibolite- to granulite-facies metasedimentary rocks in continent-continent or continent-island arc collisional orogens. Orogenic flake graphite deposits form primarily through graphitization of organic carbon during regional metamorphism, but strain localization and partial melting of pelitic protoliths are likely important processes for graphite grade and quality enrichment. Orogenic vein graphite deposits precipitate from hydrothermal fluids, possibly derived from metamorphism or anatexis at depth. Decarbonation reactions in mixed calcareous-carbonaceous metasedimentary sequences are the most likely carbon sources for the veins. In contrast, intrusion-related graphite includes magmatic-hydrothermal and metamorphic mineral systems that form primarily in continental arc settings via the interaction of magmas with carbonaceous sedimentary packages. Magmatic-hydrothermal flake graphite deposits are hosted in plutonic and volcanic rocks, and result from the exsolution of CO</span><sub>2</sub><span>-CH</span><sub>4</sub><span>-rich fluids from melts contaminated by such packages. Contact metamorphism of carbonaceous sedimentary rocks by plutons produces some microcrystalline (amorphous) graphite deposits, including many in China. Compilation of geologic data from known graphite deposits globally suggests that pulses of carbon deposition in the Paleoproterozoic, Mesoproterozoic, and Neoproterozoic provided source carbon material. Subsequent supercontinent orogenesis at ca. 2,100 to 1,700&nbsp;Ma (Columbia), ca. 1,300 to 1,000&nbsp;Ma (Rodinia), and ca. 650 to 500&nbsp;Ma (Gondwana) resulted in the genesis of orogenic flake and vein graphite deposits, where favorable geologic components overlapped with organic ± carbonate carbon-rich strata. Cryogenian deposition of graphite protoliths and Cryogenian – Cambrian metamorphic mineralization account for nearly 75% of all known resources globally and coincide with profound carbon isotope excursions and climate variability, implying a link with the global carbon budget. Comparatively few graphite deposits are associated with Pangea-forming orogens, attributed to less exhumation and/or denudation. High-temperature metasedimentary belts containing organic carbon-rich protoliths are most favorable for hosting orogenic flake graphite deposits, whereas sequences that also contain carbonate protoliths are favorable for orogenic graphite veins. Continent-scale orogenic belts may host both deposit types along with vanadium deposits. Use of a time-space mineral systems framework for graphite deposits can improve exploration models needed to ensure future supply of this critical mineral and provide insights into Earth’s long-term carbon cycle.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00126-025-01412-5","usgsCitation":"Case, G.N., 2026, A time-space model of graphite mineral systems: Mineralium Deposita, v. 61, p. 783-810, https://doi.org/10.1007/s00126-025-01412-5.","productDescription":"28 p.","startPage":"783","endPage":"810","ipdsId":"IP-177742","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":497464,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497697,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00126-025-01412-5","text":"Publisher Index Page"}],"volume":"61","noUsgsAuthors":false,"publicationDate":"2025-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Case, George N.D. 0000-0001-9826-5661 gcase@usgs.gov","orcid":"https://orcid.org/0000-0001-9826-5661","contributorId":224941,"corporation":false,"usgs":true,"family":"Case","given":"George","email":"gcase@usgs.gov","middleInitial":"N.D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":952260,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70273671,"text":"70273671 - 2026 - Long‐term effects of low‐drop grade control structures on channel evolution in the Yazoo River Basin","interactions":[],"lastModifiedDate":"2026-03-09T14:46:04.039257","indexId":"70273671","displayToPublicDate":"2025-12-12T08:37:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Long‐term effects of low‐drop grade control structures on channel evolution in the Yazoo River Basin","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Channel incision is a widespread problem, especially in river basins that have an extensive history of channel alterations. Because channel incision causes large ecological and economic consequences, the prevention of continued migration of headcuts, defined as a steep change in stream gradient over a short reach, has been the focus of many stream engineering projects. Low-drop grade control structures (GCS) are a type of structure installed to halt the upstream movement of a headcut and were widely installed in the rivers and streams of the Yazoo River Basin in northern Mississippi. The goal of this study was to evaluate the long-term effects of these structures 30+ years post installation. To assess GCS effects on channel morphology, stream cross-section surveys were used to calculate Bank Height Ratio, Width-to-Depth Ratio, and Entrenchment Ratio, while point estimates made along each transect were used to calculate the average sediment size distribution for each of 30 sites. Analyses revealed that the GCS were successful in checking channel incision moving headward in the streams: sites upstream of the GCS were less incised and had greater accumulations of fine substrates compared to sites downstream and sites on streams lacking erosion control structures. Given the widespread use of GCS, these results can inform efforts aimed at managing channel incision.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.70090","usgsCitation":"Faucheux, N.M., Slack, W.T., and Miranda, L.E., 2026, Long‐term effects of low‐drop grade control structures on channel evolution in the Yazoo River Basin: River Research and Applications, v. 42, no. 3, p. 594-606, https://doi.org/10.1002/rra.70090.","productDescription":"13 p.","startPage":"594","endPage":"606","ipdsId":"IP-180477","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":498840,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Yazoo River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.28932174905381,\n              35.0232162738905\n            ],\n            [\n              -90.95382374676808,\n              33.91832585734925\n            ],\n            [\n              -90.95341215857874,\n              32.78359226760959\n            ],\n            [\n              -89.8575979162182,\n              32.902521534108786\n            ],\n            [\n              -89.45828897078013,\n              35.0232162738905\n            ],\n            [\n              -90.28932174905381,\n              35.0232162738905\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Faucheux, Nicky M.","contributorId":365398,"corporation":false,"usgs":false,"family":"Faucheux","given":"Nicky","middleInitial":"M.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":954259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, W. Todd","contributorId":365399,"corporation":false,"usgs":false,"family":"Slack","given":"W.","middleInitial":"Todd","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":954260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":954261,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272998,"text":"70272998 - 2026 - Noble and base metal distribution and processes affecting ore tenors in the disrupted lower stratigraphy of the Stillwater Complex, USA","interactions":[],"lastModifiedDate":"2026-02-24T16:23:28.408545","indexId":"70272998","displayToPublicDate":"2025-12-10T09:50:05","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Noble and base metal distribution and processes affecting ore tenors in the disrupted lower stratigraphy of the Stillwater Complex, USA","docAbstract":"<p><span>Exploration continues for contact-style Ni-Cu sulfide and chromitite-associated PGE mineralization in ultramafic rocks of the Stillwater Complex. At the Iron and Chrome Mountain areas, massive sulfides occur along the complex’s footwall contact and anomalous concentrations of PGE+Au are associated with the three lowermost chromitite seams. Southeast of Chrome Mountain, magmatic layering is highly disrupted by the presence of faults, magmatic breccias, serpentinized discordant dunites, pyroxenite pegmatoids, and disaggregated chromitite seams. The bulk rock chemistry, sulfide chemistry, and noble metal mineralogy of samples from this area were examined to determine the deportment of PGE and processes that led to enrichments in PGE, Au, Cu, Co and Ni. Results show that a sulfide liquid was the principal collector of PGE. If sulfide liquid was initially deposited with chromite, it was disaggregated or redistributed by subsequent melt or fluid infiltration, which may have resulted in the offset of peak PGE(+Cu, Ni) from peak Cr</span><sub>2</sub><span>O</span><sub>3</sub><span>&nbsp;concentrations, and upgraded PGE tenors. Upon cooling, PGE exsolved from sulfides to form discrete bismuth tellurides, arsenides, arsenic sulfides, antimonides, and alloys, commonly along the margins of sulfide globules. Calculated metal tenors are highest in the disseminated sulfides southwest of Chrome Mountain, whereas massive and net-textured sulfides near the Iron Mountain-Camp zone represent monosulfide solid solution cumulates. At progressively shallower levels, higher metal tenors combined with lower S/Se ratios are consistent with increasing R-factors from 100 to 100,000. Serpentinization and talc-tremolite alteration resulted in S loss through partial replacement of sulfides by secondary silicate+carbonate+magnetite+sulfide assemblages, further upgrading Ni-Cu-PGE tenors. The present work shows that processes responsible for the disruption of magmatic layering and post-magmatic fluid alteration along the intrusion’s lower contact led to noble and base metal enrichments.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00126-025-01413-4","usgsCitation":"Andersen, A.K., and Jenkins, M., 2025, Noble and base metal distribution and processes affecting ore tenors in the disrupted lower stratigraphy of the Stillwater Complex, USA: Mineralium Deposita, https://doi.org/10.1007/s00126-025-01413-4.","productDescription":"28 p.","startPage":"747","endPage":"774","ipdsId":"IP-169688","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":497704,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00126-025-01413-4","text":"Publisher Index Page"},{"id":497473,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Stillwater Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.3333,\n              45.667\n            ],\n            [\n              -110.3333,\n              45.3333\n            ],\n            [\n              -109.75,\n              45.3333\n            ],\n            [\n              -109.75,\n              45.667\n            ],\n            [\n              -110.3333,\n              45.667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"61","noUsgsAuthors":false,"publicationDate":"2025-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, Allen K. 0000-0002-6865-2561","orcid":"https://orcid.org/0000-0002-6865-2561","contributorId":217476,"corporation":false,"usgs":true,"family":"Andersen","given":"Allen","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":952065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":952066,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70272975,"text":"70272975 - 2026 - Near-real-time geochemical monitoring of Hawaiian volcanoes using energy dispersive X-ray fluorescence (EDXRF)","interactions":[],"lastModifiedDate":"2025-12-11T15:16:09.263427","indexId":"70272975","displayToPublicDate":"2025-12-10T09:14:53","publicationYear":"2026","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":"Near-real-time geochemical monitoring of Hawaiian volcanoes using energy dispersive X-ray fluorescence (EDXRF)","docAbstract":"Syn-eruption geochemical monitoring during volcanic activity is an important component of integrated volcanic monitoring. Volcanoes on the Island of Hawai‘i are primarily monitored by the U.S. Geological Survey’s Hawaiian Volcano Observatory using instrumental networks, field surveys, satellite observations, and petrologic monitoring. In collaboration with the University of Hawaiʻi at Hilo, an important component of this monitoring is near-real-time (generally within 24 h of sample collection) bulk-rock geochemistry using benchtop energy-dispersive X-ray fluorescence (EDXRF). Bulk-rock geochemistry, coupled with additional petrologic and geophysical analyses, are used to track eruption dynamics to help facilitate identification and understanding of changes that signal the onset of potentially hazardous activity. In this paper, we present EDXRF methodology for bulk-rock analysis used to evaluate the 2018 Kīlauea and 2022 Mauna Loa eruptions and compare this technique to other geochemical methods. Syn-eruption geochemical monitoring using EDXRF provides reliable quantitative data that is important for understanding eruption dynamics. Critical to this process are calibrating the instrument for analysis over the same range of compositions expected during volcanic activity, compiling a relevant database from past eruptions on the same instrument for comparison, and having the physical infrastructure and trained personnel to complete the analyses in a timely fashion. In addition to the scientific goals of petrologic monitoring, near-real-time geochemical analysis in Hawaii provides important information about the nature of on-going eruptions and informs decision-makers and the public about associated evolving hazards.","language":"English","publisher":"Springer","doi":"10.1007/s00445-025-01922-0","collaboration":"University of Hawaii at Hilo","usgsCitation":"Lundblad, S.P., Mills, P.R., Lynn, K.J., Gallant, E., Gansecki, C., Decker, M., and Downs, D.T., 2026, Near-real-time geochemical monitoring of Hawaiian volcanoes using energy dispersive X-ray fluorescence (EDXRF): Bulletin of Volcanology, v. 88, 3, 14 p., https://doi.org/10.1007/s00445-025-01922-0.","productDescription":"3, 14 p.","ipdsId":"IP-178381","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":497324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.8882322781885,\n              20.26160044658498\n            ],\n            [\n              -155.90296253062945,\n              20.150973804305963\n            ],\n            [\n              -155.85287967233023,\n              20.040347162026947\n            ],\n            [\n              -156.06794135796804,\n              19.741160626622346\n            ],\n            [\n              -155.92063883355857,\n              19.077085019596637\n            ],\n            [\n              -155.64665613815683,\n              18.893225777095097\n            ],\n            [\n              -155.34321293787335,\n              19.219018539658364\n            ],\n            [\n              -155.0898525958889,\n              19.24405293863188\n            ],\n            [\n              -154.80408569853452,\n              19.516401663871136\n            ],\n            [\n              -155.01914738417236,\n              19.743933460087916\n            ],\n            [\n              -155.22537091834573,\n              19.996058956481335\n            ],\n            [\n              -155.8293112684247,\n              20.269891334854222\n            ],\n            [\n              -155.8882322781885,\n              20.26160044658498\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2025-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundblad, Steven P.","contributorId":363767,"corporation":false,"usgs":false,"family":"Lundblad","given":"Steven","middleInitial":"P.","affiliations":[{"id":37291,"text":"University of Hawaii at Hilo","active":true,"usgs":false}],"preferred":false,"id":951950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Peter R.","contributorId":363768,"corporation":false,"usgs":false,"family":"Mills","given":"Peter","middleInitial":"R.","affiliations":[{"id":37291,"text":"University of Hawaii at Hilo","active":true,"usgs":false}],"preferred":false,"id":951951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":951952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallant, Elisabeth 0000-0001-6841-3694","orcid":"https://orcid.org/0000-0001-6841-3694","contributorId":339872,"corporation":false,"usgs":false,"family":"Gallant","given":"Elisabeth","affiliations":[{"id":81292,"text":"University of Hawaiʻi at Hilo","active":true,"usgs":false}],"preferred":false,"id":951953,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gansecki, Cheryl 0000-0001-5581-9097","orcid":"https://orcid.org/0000-0001-5581-9097","contributorId":215620,"corporation":false,"usgs":false,"family":"Gansecki","given":"Cheryl","email":"","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":951954,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Decker, Meghann","contributorId":344515,"corporation":false,"usgs":false,"family":"Decker","given":"Meghann","affiliations":[{"id":82382,"text":"Research Corporation of the University of Hawai‘i","active":true,"usgs":false}],"preferred":false,"id":951955,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":951956,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272973,"text":"70272973 - 2026 - Chronic, low concentration pesticide exposure alters reproduction and behavior in the intertidal sea anemone, Anthopleura elegantissima","interactions":[],"lastModifiedDate":"2025-12-11T14:36:17.993404","indexId":"70272973","displayToPublicDate":"2025-12-10T08:31:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Chronic, low concentration pesticide exposure alters reproduction and behavior in the intertidal sea anemone, <i>Anthopleura elegantissima</i>","title":"Chronic, low concentration pesticide exposure alters reproduction and behavior in the intertidal sea anemone, Anthopleura elegantissima","docAbstract":"<p><span>Widespread pesticide and herbicide use paired with frequent transport away from application sites has led to pesticide presence in nearly all terrestrial and aquatic environments globally. Pesticides have unintentional toxic effects on non-target organisms by interfering with cellular processes, behavior, feeding, reproduction, and disrupting endocrine processes. The aggregating anemone,&nbsp;</span><i>Anthopleura elegantissima,</i><span>&nbsp;is an important species along the North American Pacific coast due to its symbiotic relationships that contribute to high productivity, and its clonal abundance that structures the rocky intertidal habitat. Commonly used pesticides, atrazine, diuron, and carbendazim were previously detected in coastal waters of Oregon, U.S.A. This study examined the potential effects of these pesticides at environmentally relevant concentrations on reproduction, symbionts, and behavior of&nbsp;</span><i>A. elegantissima</i><span>&nbsp;over an eight-week period. Pesticides significantly decreased gonad development in all treatments, having the most significant effect in individual treatments of atrazine (</span><i>p</i><span>&nbsp;</span><i>=&nbsp;0.003)</i><span>, carbendazim (</span><i>p</i><span>&nbsp;</span><i>=&nbsp;0.003)</i><span>, and the mixture of all three pesticides (</span><i>p&nbsp;=</i><span>&nbsp;</span><i>0.008).</i><span>&nbsp;All pesticide treatments significantly increased cloning behavior compared to the control, suggesting that cloning could be a stress response. Pesticide exposure also significantly increased tentacle retraction movement, suggesting possible metabolic or energy impairments. While other studies have previously found behavioral changes in anemones due to pollutants, our study is the first to document behavioral changes in anemones from pesticide exposure. All three pesticides significantly impacted a non-target marine invertebrate at environmentally relevant concentrations, which underscores the value of studies that focus on effects on marine invertebrates, paired with comprehensive pesticide monitoring in coastal areas.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2025.119118","usgsCitation":"Bleil, B., Granek, E.F., Kirk, N.L., and Hladik, M.L., 2026, Chronic, low concentration pesticide exposure alters reproduction and behavior in the intertidal sea anemone, Anthopleura elegantissima: Marine Pollution Bulletin, 119118, 11 p., https://doi.org/10.1016/j.marpolbul.2025.119118.","productDescription":"119118, 11 p.","ipdsId":"IP-179709","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":497318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","city":"Yachats","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.1106684516941,\n              44.312645574490205\n            ],\n            [\n              -124.1106684516941,\n              44.309303217626194\n            ],\n            [\n              -124.10574362095593,\n              44.309303217626194\n            ],\n            [\n              -124.10574362095593,\n              44.312645574490205\n            ],\n            [\n              -124.1106684516941,\n              44.312645574490205\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"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":951946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granek, Elise F.","contributorId":363763,"corporation":false,"usgs":false,"family":"Granek","given":"Elise","middleInitial":"F.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":951947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirk, Nathan L.","contributorId":363764,"corporation":false,"usgs":false,"family":"Kirk","given":"Nathan","middleInitial":"L.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":951948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":951949,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273205,"text":"70273205 - 2026 - From sample to sonde to Sentinel-2: Insights from a multi-scale chlorophyll-a monitoring effort in the Hudson River, New York","interactions":[],"lastModifiedDate":"2025-12-19T14:48:05.059591","indexId":"70273205","displayToPublicDate":"2025-12-09T08:42:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"From sample to sonde to Sentinel-2: Insights from a multi-scale chlorophyll-a monitoring effort in the Hudson River, New York","docAbstract":"<p><span>Monitoring cyanobacteria and other nuisance phytoplankton in the Hudson River is of great interest given its societal and ecological importance. Satellite remote sensing provides a cost-effective method to monitor chlorophyll-</span><i>a</i><span>&nbsp;(chl-a), a common proxy for algal biomass; however, the dynamic nature of rivers complicates approaches traditionally applied to lakes and oceans. During 2021–2023, we collected discrete samples for laboratory measurement of chl-a and measured in situ chl-a fluorescence during a series of longitudinal boat surveys along a 220-km reach of the lower Hudson River. Surveys were timed to coincide with Sentinel-2 satellite overpasses. We first investigated relations between laboratory-measured chl-a concentration and field-measured chl-a fluorescence, observing a weak correlation (</span><i>r</i><sup>2</sup><span> = 0.25) that improved substantially after splitting data by day (mean&nbsp;</span><i>r</i><sup>2</sup><span> = 0.53). Separately, to estimate chl-a fluorescence using satellite data, we developed a series of random forest models leveraging the rich fluorescence dataset collected. We tested three model types: individual day models, leave-one-out models trained on all days except a holdout test day, and a single pooled model trained on all days. Generally, individual day models exhibited lowest error (mean of mean absolute error [MAE] = 0.16 relative fluorescence units [RFU]), followed by the single pooled model (MAE = 0.22 RFU). Daily holdout models showed highest error (mean MAE = 0.40 RFU); this approach was intended to represent model performance on a day unseen in the training set, providing a more conservative estimate of performance than the more traditional pooled approach. Findings from both analyses emphasize the importance of considering temporal variability when modeling riverine systems.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-025-14844-3","usgsCitation":"Salls, W.B., Welk, R., King, T.V., Scavotto, N., Gorney, R.M., Gifford, S.R., Stouder, M.D., Nystrom, E.A., and Graham, J.L., 2026, From sample to sonde to Sentinel-2: Insights from a multi-scale chlorophyll-a monitoring effort in the Hudson River, New York: Environmental Monitoring and Assessment, v. 198, 25, 30 p., https://doi.org/10.1007/s10661-025-14844-3.","productDescription":"25, 30 p.","ipdsId":"IP-176108","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":498038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-025-14844-3","text":"Publisher Index Page"},{"id":497763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, New York","otherGeospatial":"Hudson River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.53385971301769,\n              42.80598359016898\n            ],\n            [\n              -74.21892882912005,\n              42.80598359016898\n            ],\n            [\n              -74.21892882912005,\n              40.6507605560374\n            ],\n            [\n              -73.53385971301769,\n              40.6507605560374\n            ],\n            [\n              -73.53385971301769,\n              42.80598359016898\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"198","noUsgsAuthors":false,"publicationDate":"2025-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Salls, Wilson Barg 0000-0001-7505-0828","orcid":"https://orcid.org/0000-0001-7505-0828","contributorId":364473,"corporation":false,"usgs":true,"family":"Salls","given":"Wilson","middleInitial":"Barg","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welk, Robert J. 0000-0003-0852-5584","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":202876,"corporation":false,"usgs":true,"family":"Welk","given":"Robert J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scavotto, Natasha 0000-0002-0853-5355","orcid":"https://orcid.org/0000-0002-0853-5355","contributorId":362140,"corporation":false,"usgs":true,"family":"Scavotto","given":"Natasha","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gorney, Rebecca M. 0000-0003-4406-261X","orcid":"https://orcid.org/0000-0003-4406-261X","contributorId":317259,"corporation":false,"usgs":true,"family":"Gorney","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gifford, Sabina R. 0000-0002-0724-4986","orcid":"https://orcid.org/0000-0002-0724-4986","contributorId":310415,"corporation":false,"usgs":true,"family":"Gifford","given":"Sabina","email":"","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952706,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stouder, Michael D.W. 0000-0002-0446-2574","orcid":"https://orcid.org/0000-0002-0446-2574","contributorId":301805,"corporation":false,"usgs":true,"family":"Stouder","given":"Michael","middleInitial":"D.W.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952707,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952708,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":202923,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":952709,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70273244,"text":"70273244 - 2026 - Downstream persistence of cyanobacteria in New Jersey's Raritan River basin","interactions":[],"lastModifiedDate":"2025-12-23T14:50:11.003653","indexId":"70273244","displayToPublicDate":"2025-12-08T08:43:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5211,"text":"Heliyon","active":true,"publicationSubtype":{"id":10}},"title":"Downstream persistence of cyanobacteria in New Jersey's Raritan River basin","docAbstract":"<p><span>Few studies have examined cyanobacteria persistence starting from lacustrine cyanobacteria harmful algal blooms (HABs) downstream. Multiple lakes and reservoirs within New Jersey's Raritan Basin Water Supply Complex (RBWSC) feature recurrent HABs and discharge water into the Raritan River. As the RBWSC provides drinking water to 1.5 million people, these HABs create drinking water treatment and human health concerns. This study quantitatively reviews the persistence of cyanobacteria communities across the RBWSC from cyanobacteria-dominated lacustrine sources to downstream drinking water and qualitatively assess what, if any, water chemistry parameters influenced the persistence, growth, or decline of cyanobacteria during downstream transport. Statistical tests showed there was a lack of continuity between cyanobacteria communities along the Raritan River, except for periods of higher streamflow and higher releases from the Spruce Run Reservoir. Results along the Millstone River suggested the potential for in-river cyanobacteria growth, which overlapped with periods of low streamflow and high nutrient concentrations in the summer and fall. A permutational analysis of variance (PERMANVOA) test found significantly dissimilar (</span><i>p</i><span>&nbsp;&lt;&nbsp;0.01) cyanobacteria communities between lake and reservoir outlet sites and downstream sites in the Raritan, but not the Millstone River (</span><i>p</i><span>&nbsp;=&nbsp;0.928). A similarity percentage (SIMPER) analysis found cyanobacteria communities changed from high densities of bloom forming cyanobacteria (</span><i>Aphanocapsa, Aphanizomenon, Microcystis)</i><span>&nbsp;at the lake outlet sites to low densities of non-bloom forming cyanobacteria (</span><i>Synechcoccus, Chroococcus)</i><span>&nbsp;along the Raritan mainstem, with&nbsp;</span><i>Aphanocapsa</i><span>&nbsp;the most notable bloom forming genera overlapping between sites. Investigating cyanobacteria on a watershed-specific basis could enhance understanding of the site-specific transport mechanisms and water chemistry parameters that facilitate community persistence.</span></p>","language":"English","publisher":"Cell Press","doi":"10.1016/j.heliyon.2025.e44230","usgsCitation":"Clonan, K., Wu, M., Heckathorn, H., Desko, H., Ernst, E., Reilly, P.A., Schuster, R.L., Newby, R., Hurley, A., and Rossi, A., 2026, Downstream persistence of cyanobacteria in New Jersey's Raritan River basin: Heliyon, v. 12, no. 1, e44230, 14 p., https://doi.org/10.1016/j.heliyon.2025.e44230.","productDescription":"e44230, 14 p.","ipdsId":"IP-154950","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":498050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.heliyon.2025.e44230","text":"Publisher Index Page"},{"id":497933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Raritan River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.26840268804813,\n              40.490544941082106\n            ],\n            [\n              -74.33038497973797,\n              40.68793062564529\n            ],\n            [\n              -74.72227301751758,\n              40.81364893905166\n            ],\n            [\n              -74.97220161304104,\n              40.50422887202612\n            ],\n            [\n              -74.57831414649677,\n              40.12002456057226\n            ],\n            [\n              -74.31039069209564,\n              40.12308240311057\n            ],\n            [\n              -74.21441811141507,\n              40.312399946392816\n            ],\n            [\n              -74.26840268804813,\n              40.490544941082106\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clonan, Kyle R. 0009-0007-0136-9423","orcid":"https://orcid.org/0009-0007-0136-9423","contributorId":359726,"corporation":false,"usgs":false,"family":"Clonan","given":"Kyle","middleInitial":"R.","affiliations":[{"id":85911,"text":"New Jersey Water Supply Authority","active":true,"usgs":false}],"preferred":false,"id":952837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Meiyin 0000-0003-1563-3962","orcid":"https://orcid.org/0000-0003-1563-3962","contributorId":364532,"corporation":false,"usgs":false,"family":"Wu","given":"Meiyin","affiliations":[{"id":36592,"text":"Montclair State University","active":true,"usgs":false}],"preferred":false,"id":952838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heckathorn, Heather A. 0000-0002-7195-5889","orcid":"https://orcid.org/0000-0002-7195-5889","contributorId":330272,"corporation":false,"usgs":true,"family":"Heckathorn","given":"Heather A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Desko, Heather 0009-0005-2888-9301","orcid":"https://orcid.org/0009-0005-2888-9301","contributorId":364534,"corporation":false,"usgs":false,"family":"Desko","given":"Heather","affiliations":[{"id":85911,"text":"New Jersey Water Supply Authority","active":true,"usgs":false}],"preferred":false,"id":952841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ernst, Eric 0009-0005-5378-0404","orcid":"https://orcid.org/0009-0005-5378-0404","contributorId":364536,"corporation":false,"usgs":false,"family":"Ernst","given":"Eric","affiliations":[{"id":40718,"text":"New Jersey Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":952843,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952839,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schuster, Robert L.","contributorId":330197,"corporation":false,"usgs":false,"family":"Schuster","given":"Robert","email":"","middleInitial":"L.","affiliations":[{"id":12443,"text":"U.S. Geological Survey (retired)","active":true,"usgs":false}],"preferred":false,"id":952842,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Newby, Robert","contributorId":224353,"corporation":false,"usgs":false,"family":"Newby","given":"Robert","affiliations":[{"id":40863,"text":"New Jersey Department of Environmental Protection, Division of Science, Research and Environmental Health","active":true,"usgs":false}],"preferred":false,"id":952844,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hurley, Annie 0009-0000-3788-6456","orcid":"https://orcid.org/0009-0000-3788-6456","contributorId":364538,"corporation":false,"usgs":false,"family":"Hurley","given":"Annie","affiliations":[{"id":36592,"text":"Montclair State University","active":true,"usgs":false}],"preferred":false,"id":952845,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rossi, Alessandra 0000-0002-1405-366X","orcid":"https://orcid.org/0000-0002-1405-366X","contributorId":364540,"corporation":false,"usgs":false,"family":"Rossi","given":"Alessandra","affiliations":[{"id":36592,"text":"Montclair State University","active":true,"usgs":false}],"preferred":false,"id":952846,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70273145,"text":"70273145 - 2026 - Growth of a passive lava lake during the 2020–2021 eruption of Kīlauea volcano, Hawaii","interactions":[],"lastModifiedDate":"2025-12-16T16:06:00.176799","indexId":"70273145","displayToPublicDate":"2025-12-05T10:01:09","publicationYear":"2026","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":"Growth of a passive lava lake during the 2020–2021 eruption of Kīlauea volcano, Hawaii","docAbstract":"<p><span>We investigate the growth of a passive lava lake in Halemaʻumaʻu crater during the December 2020 to May 2021 eruption of Kīlauea volcano, Hawaii. Fed by vents above their surfaces, the formation of passive lava lakes in topographic lows is an important process in the growth of basaltic volcanoes. We captured visible and thermal images during 17 helicopter overflights and applied structure-from-motion photogrammetry to create digital elevation models and orthomosaics of Halemaʻumaʻu. These data products allowed us to track eruptive activity and processes. The bulk time-averaged discharge rate (TADR) in December 2020 initially exceeded 100 m</span><sup>3</sup><span>&nbsp;s</span><sup>–1</sup><span>&nbsp;but decreased to &lt; 10 m</span><sup>3</sup><span>&nbsp;s</span><sup>–1</sup><span>&nbsp;within seven days. By February 2021, TADR was &lt; 2 m</span><sup>3</sup><span>&nbsp;s</span><sup>–1</sup><span>&nbsp;and continued to decrease until the eruption ended in May 2021. A total volume of 40.6 ± 0.5 × 10</span><sup>6</sup><span>&nbsp;m</span><sup>3</sup><span>&nbsp;of lava filled Halemaʻumaʻu to a depth of 225&nbsp;m. As TADR decreased, the lake progressively developed an immobile, solidified crust, beginning with surfaces farthest from the vent. This immobile surface rose endogenously, whereas exogenous surface rise occurred near the vent. Eruptive activity at a vent ended when the level of the lake surface exceeded that of the vent, which we attribute to the effects of lava sitting above the vent on ascending magma. Regular helicopter overflights, combined with field observations and the extensive monitoring network at Kīlauea, generated an unprecedented density of observations that provide insights into the emplacement of passive lava lakes and how these eruptions wane and end.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-025-01867-4","usgsCitation":"Carr, B.B., Patrick, M.R., Dietterich, H., Zoeller, M.H., Parcheta, C., Downs, D.T., Nadeau, P.A., and Hamilton, C., 2026, Growth of a passive lava lake during the 2020–2021 eruption of Kīlauea volcano, Hawaii: Bulletin of Volcanology, v. 88, 1, 17 p., https://doi.org/10.1007/s00445-025-01867-4.","productDescription":"1, 17 p.","ipdsId":"IP-172169","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":497575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.3996270560572,\n              19.406817847190297\n            ],\n            [\n              -155.44193382668337,\n              19.153764121714516\n            ],\n            [\n              -155.2427073977343,\n              19.256567923381994\n            ],\n            [\n              -155.10309505466768,\n              19.277262673850416\n            ],\n            [\n              -154.8692547206449,\n              19.417337433002288\n            ],\n            [\n              -154.79848703159735,\n              19.493855712612287\n            ],\n            [\n              -154.80925602775673,\n              19.535907238422254\n            ],\n            [\n              -154.9434838727438,\n              19.60983335285802\n            ],\n            [\n              -155.3996270560572,\n              19.406817847190297\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2025-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Carr, Brett B. 0000-0002-1033-3082","orcid":"https://orcid.org/0000-0002-1033-3082","contributorId":305984,"corporation":false,"usgs":true,"family":"Carr","given":"Brett","email":"","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zoeller, Michael H. 0000-0003-4716-8567","orcid":"https://orcid.org/0000-0003-4716-8567","contributorId":214557,"corporation":false,"usgs":true,"family":"Zoeller","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parcheta, Carolyn 0000-0001-6556-4630 cparcheta@usgs.gov","orcid":"https://orcid.org/0000-0001-6556-4630","contributorId":215617,"corporation":false,"usgs":true,"family":"Parcheta","given":"Carolyn","email":"cparcheta@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952446,"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":952447,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nadeau, Patricia A. 0000-0002-6732-3686","orcid":"https://orcid.org/0000-0002-6732-3686","contributorId":215616,"corporation":false,"usgs":true,"family":"Nadeau","given":"Patricia","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952448,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hamilton, Christoper","contributorId":189479,"corporation":false,"usgs":false,"family":"Hamilton","given":"Christoper","email":"","affiliations":[],"preferred":false,"id":952449,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70272750,"text":"70272750 - 2026 - Environmental tradeoffs of urban stream restoration in Fairfax County, Virginia","interactions":[],"lastModifiedDate":"2025-12-09T14:24:46.399188","indexId":"70272750","displayToPublicDate":"2025-12-05T09:59:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Environmental tradeoffs of urban stream restoration in Fairfax County, Virginia","docAbstract":"<p><span>Regulatory mandates to improve water quality and stream health have driven substantial investment in stream restoration. Most projects aim to improve channel-floodplain connectivity, reduce sediment erosion, and enhance habitat for aquatic organisms, yet few include adequate pre- and post-restoration monitoring to assess outcomes. Since 2007, Fairfax County, Virginia, and the U.S. Geological Survey have partnered to monitor and evaluate water-quality conditions in Flatlick Branch. In 2018, a 1.72-km reach of stream above the monitoring station was restored using a Natural Channel Design approach. This study applied the Stream Functions Pyramid (SFP) framework to evaluate restoration tradeoffs. Post-restoration, watershed hydrology remained largely unchanged, but channel modifications increased flow capacity, reduced velocity, and further disconnected the channel from the floodplain. Nutrient and sediment reductions exceeded expected amounts, but the removal of over 20&nbsp;% of riparian tree canopy increased physicochemical variability and the frequency and magnitude of water temperature heatwaves. Post-restoration, state standards for low dissolved oxygen and elevated pH were exceeded 2.5 and 7.5 times more often, respectively. Gross primary production and ecosystem respiration increased and organic matter sources supporting metabolism shifted from allochthonous to autochthonous. Trends in several benthic macroinvertebrate metrics, which were improving prior to construction, have since plateaued or declined, and the fish assemblage shifted from a native minnow dominated community to non-native, warmwater tolerant taxa. This study highlights the need for comprehensive assessments of stream restoration and benefits of using the SFP to understand the consequences and possible tradeoffs of different ecosystem management decisions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2025.107866","usgsCitation":"Porter, A.J., Ruck, C.M., and Tassone, S.J., 2026, Environmental tradeoffs of urban stream restoration in Fairfax County, Virginia: Ecological Engineering, v. 224, 107866, 21 p., https://doi.org/10.1016/j.ecoleng.2025.107866.","productDescription":"107866, 21 p.","ipdsId":"IP-179952","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":497417,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2025.107866","text":"Publisher Index Page"},{"id":497191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Fairfax County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-77.1702,38.9682],[-77.1624,38.9678],[-77.16,38.9678],[-77.1553,38.9674],[-77.1548,38.9674],[-77.1488,38.9646],[-77.1472,38.9636],[-77.1455,38.9622],[-77.1413,38.9584],[-77.1409,38.958],[-77.1361,38.9523],[-77.1352,38.9507],[-77.1343,38.9488],[-77.1341,38.9482],[-77.1323,38.9455],[-77.1308,38.9438],[-77.1294,38.9423],[-77.1279,38.9411],[-77.1258,38.9391],[-77.1234,38.9365],[-77.1229,38.936],[-77.1253,38.9296],[-77.1277,38.9279],[-77.1611,38.9018],[-77.172,38.8934],[-77.1891,38.896],[-77.1916,38.891],[-77.1941,38.8861],[-77.1896,38.8783],[-77.1878,38.8787],[-77.1807,38.8795],[-77.1778,38.8794],[-77.1736,38.8789],[-77.1631,38.8751],[-77.1579,38.8731],[-77.1549,38.8726],[-77.1537,38.8731],[-77.1531,38.8731],[-77.1519,38.8735],[-77.1502,38.8735],[-77.1496,38.8739],[-77.1495,38.8757],[-77.1104,38.8437],[-77.1277,38.8372],[-77.1416,38.827],[-77.1423,38.8239],[-77.1432,38.8148],[-77.1445,38.8103],[-77.139,38.798],[-77.1153,38.8021],[-77.084,38.801],[-77.0723,38.7971],[-77.0618,38.7947],[-77.0554,38.7921],[-77.0556,38.792],[-77.0523,38.7886],[-77.0523,38.7876],[-77.0529,38.787],[-77.0535,38.7862],[-77.0537,38.7837],[-77.0533,38.7827],[-77.0503,38.7797],[-77.0495,38.7787],[-77.049,38.7784],[-77.0479,38.7766],[-77.0482,38.7763],[-77.0492,38.7714],[-77.0489,38.7717],[-77.0486,38.7717],[-77.0481,38.7711],[-77.0481,38.7717],[-77.0478,38.7725],[-77.0478,38.7728],[-77.0481,38.7731],[-77.0475,38.7733],[-77.0461,38.7733],[-77.0444,38.7717],[-77.0444,38.7711],[-77.0453,38.7703],[-77.0456,38.7703],[-77.0458,38.77],[-77.0461,38.77],[-77.0467,38.7694],[-77.0472,38.7694],[-77.0475,38.7692],[-77.0481,38.7692],[-77.0483,38.7694],[-77.0486,38.7692],[-77.0492,38.7689],[-77.0489,38.7686],[-77.0486,38.7687],[-77.0481,38.7683],[-77.0471,38.7668],[-77.0471,38.7655],[-77.0475,38.7625],[-77.0469,38.7619],[-77.0469,38.7617],[-77.0467,38.7608],[-77.0469,38.7606],[-77.0469,38.76],[-77.0472,38.7597],[-77.0475,38.7597],[-77.0481,38.7592],[-77.0483,38.7592],[-77.0467,38.7579],[-77.0464,38.7571],[-77.0474,38.7549],[-77.0472,38.7544],[-77.0459,38.7526],[-77.0461,38.7521],[-77.0466,38.7517],[-77.0476,38.7508],[-77.0475,38.7504],[-77.0472,38.7494],[-77.0434,38.7444],[-77.0423,38.741],[-77.0431,38.7388],[-77.0428,38.7384],[-77.042,38.7368],[-77.0414,38.7304],[-77.0416,38.7274],[-77.0416,38.7267],[-77.0417,38.725],[-77.0426,38.7206],[-77.0445,38.7168],[-77.0459,38.7149],[-77.0526,38.7105],[-77.064,38.7099],[-77.0646,38.71],[-77.0657,38.7102],[-77.0669,38.71],[-77.0675,38.71],[-77.0692,38.7099],[-77.0728,38.7106],[-77.0733,38.7106],[-77.0742,38.7114],[-77.0739,38.7117],[-77.0747,38.7125],[-77.075,38.7125],[-77.0753,38.7128],[-77.0764,38.7128],[-77.0767,38.7129],[-77.0792,38.7125],[-77.0803,38.7087],[-77.0807,38.7084],[-77.0851,38.7066],[-77.0993,38.6985],[-77.1015,38.6981],[-77.1041,38.6976],[-77.107,38.6975],[-77.109,38.6976],[-77.1097,38.6977],[-77.111,38.6981],[-77.117,38.6995],[-77.1177,38.6997],[-77.1191,38.7001],[-77.1197,38.7005],[-77.12,38.7011],[-77.121,38.7029],[-77.1215,38.7033],[-77.1221,38.7036],[-77.1231,38.7043],[-77.1238,38.7051],[-77.1244,38.7053],[-77.1251,38.7053],[-77.129,38.7052],[-77.1296,38.7048],[-77.1299,38.7043],[-77.1299,38.7038],[-77.1297,38.7033],[-77.1289,38.7025],[-77.1275,38.7014],[-77.1273,38.7008],[-77.1269,38.6995],[-77.126,38.6985],[-77.125,38.6974],[-77.1232,38.6936],[-77.1228,38.6915],[-77.1224,38.6901],[-77.1222,38.687],[-77.1222,38.6864],[-77.1329,38.6739],[-77.135,38.6734],[-77.1365,38.6731],[-77.1369,38.6732],[-77.1382,38.6737],[-77.1391,38.6736],[-77.1398,38.6724],[-77.1441,38.6753],[-77.1452,38.676],[-77.1481,38.6776],[-77.1487,38.6778],[-77.153,38.6791],[-77.1536,38.6794],[-77.1538,38.6798],[-77.1535,38.6802],[-77.1532,38.6816],[-77.1537,38.6819],[-77.1545,38.6818],[-77.1551,38.6816],[-77.1557,38.6816],[-77.1562,38.6819],[-77.1568,38.6839],[-77.1566,38.6844],[-77.1552,38.6857],[-77.1536,38.6883],[-77.1553,38.6908],[-77.156,38.6915],[-77.1594,38.6917],[-77.16,38.6911],[-77.16,38.6906],[-77.1611,38.6894],[-77.1614,38.6894],[-77.1622,38.6892],[-77.1628,38.6886],[-77.1631,38.6886],[-77.1633,38.688],[-77.1636,38.6867],[-77.1638,38.6853],[-77.1641,38.6848],[-77.1649,38.6841],[-77.1655,38.6843],[-77.1656,38.6845],[-77.1671,38.6856],[-77.1677,38.6855],[-77.169,38.685],[-77.1697,38.6848],[-77.1712,38.6844],[-77.1732,38.6842],[-77.1764,38.6847],[-77.1779,38.6849],[-77.1795,38.6841],[-77.1822,38.6842],[-77.1831,38.6842],[-77.1833,38.6839],[-77.1836,38.6839],[-77.1842,38.6844],[-77.185,38.6844],[-77.1853,38.6842],[-77.1858,38.6839],[-77.1861,38.6839],[-77.1864,38.6836],[-77.1883,38.6831],[-77.1889,38.6825],[-77.1889,38.6822],[-77.1878,38.6811],[-77.1872,38.6811],[-77.1869,38.6808],[-77.1864,38.6808],[-77.1861,38.6806],[-77.1853,38.6806],[-77.185,38.6803],[-77.1847,38.6803],[-77.1844,38.68],[-77.1828,38.6803],[-77.1825,38.68],[-77.1822,38.68],[-77.1819,38.6803],[-77.1811,38.68],[-77.1772,38.6788],[-77.1763,38.6787],[-77.1737,38.6794],[-77.1674,38.6758],[-77.1624,38.6712],[-77.1582,38.6702],[-77.1578,38.6698],[-77.1571,38.6689],[-77.1566,38.6686],[-77.1555,38.6681],[-77.1515,38.6664],[-77.1509,38.6662],[-77.15,38.6653],[-77.1498,38.6647],[-77.1497,38.664],[-77.149,38.6572],[-77.1485,38.657],[-77.1478,38.6569],[-77.1465,38.6567],[-77.1459,38.6564],[-77.1452,38.6563],[-77.1446,38.656],[-77.1431,38.6549],[-77.1406,38.6523],[-77.1395,38.6518],[-77.1372,38.6506],[-77.1362,38.6489],[-77.1358,38.647],[-77.1354,38.6465],[-77.1349,38.6461],[-77.1343,38.6458],[-77.1334,38.6452],[-77.133,38.6423],[-77.1313,38.6384],[-77.1308,38.6369],[-77.1307,38.6359],[-77.1311,38.6354],[-77.1318,38.6351],[-77.1348,38.6351],[-77.137,38.6353],[-77.1389,38.6351],[-77.1413,38.6355],[-77.143,38.6357],[-77.1497,38.6352],[-77.1519,38.6355],[-77.1541,38.6358],[-77.1572,38.6367],[-77.1575,38.6369],[-77.1581,38.6372],[-77.1583,38.6369],[-77.1586,38.6369],[-77.1594,38.6361],[-77.1597,38.6361],[-77.1608,38.635],[-77.1611,38.635],[-77.1617,38.6344],[-77.1619,38.6344],[-77.1625,38.6331],[-77.1628,38.6331],[-77.1636,38.6322],[-77.1636,38.6308],[-77.1633,38.6306],[-77.1636,38.6303],[-77.1639,38.6303],[-77.1639,38.63],[-77.1661,38.6278],[-77.1665,38.6278],[-77.1665,38.6275],[-77.1764,38.6239],[-77.1808,38.6226],[-77.1813,38.6223],[-77.1824,38.6219],[-77.1837,38.6217],[-77.1857,38.6214],[-77.1864,38.6213],[-77.187,38.6211],[-77.1901,38.6198],[-77.1908,38.6195],[-77.1915,38.6194],[-77.193,38.6194],[-77.1986,38.6192],[-77.2005,38.6186],[-77.2021,38.6177],[-77.2027,38.6178],[-77.2038,38.6184],[-77.2048,38.6199],[-77.2049,38.6212],[-77.2043,38.6239],[-77.2047,38.6243],[-77.205,38.6248],[-77.2062,38.6267],[-77.208,38.628],[-77.2108,38.6302],[-77.213,38.6328],[-77.2139,38.6356],[-77.2139,38.6361],[-77.2144,38.6367],[-77.2147,38.6367],[-77.2151,38.637],[-77.215,38.6375],[-77.2147,38.6375],[-77.2144,38.6378],[-77.2128,38.6375],[-77.2117,38.6375],[-77.211,38.6374],[-77.2009,38.6418],[-77.1935,38.649],[-77.1905,38.6487],[-77.1894,38.6493],[-77.1888,38.6496],[-77.1882,38.6497],[-77.1875,38.6496],[-77.1844,38.6494],[-77.1814,38.6491],[-77.181,38.6506],[-77.1838,38.6511],[-77.1877,38.6514],[-77.1889,38.6516],[-77.1894,38.6514],[-77.192,38.6506],[-77.193,38.6508],[-77.1934,38.6512],[-77.1937,38.6517],[-77.1938,38.6522],[-77.1945,38.6537],[-77.1954,38.6544],[-77.1963,38.6551],[-77.199,38.657],[-77.2029,38.6586],[-77.2125,38.6567],[-77.2128,38.6564],[-77.2139,38.6564],[-77.2142,38.6567],[-77.2144,38.6564],[-77.2147,38.6564],[-77.215,38.6567],[-77.2156,38.6567],[-77.2169,38.6569],[-77.2172,38.6572],[-77.2175,38.6572],[-77.2209,38.6578],[-77.2214,38.6578],[-77.2235,38.658],[-77.224,38.6587],[-77.2238,38.659],[-77.2215,38.6612],[-77.2214,38.6618],[-77.2211,38.6624],[-77.221,38.663],[-77.2198,38.6666],[-77.2203,38.667],[-77.221,38.6671],[-77.2215,38.6668],[-77.2219,38.6662],[-77.224,38.6626],[-77.2254,38.6611],[-77.226,38.6608],[-77.2273,38.6607],[-77.2279,38.6609],[-77.2284,38.6613],[-77.229,38.6615],[-77.231,38.662],[-77.2316,38.6624],[-77.2322,38.6626],[-77.2333,38.6631],[-77.2339,38.6632],[-77.2358,38.6636],[-77.2362,38.664],[-77.2364,38.6645],[-77.2369,38.6654],[-77.2383,38.6665],[-77.2391,38.6671],[-77.2406,38.6689],[-77.2406,38.6692],[-77.2414,38.67],[-77.2446,38.6724],[-77.2489,38.6747],[-77.2492,38.6747],[-77.2494,38.675],[-77.2522,38.6792],[-77.2522,38.6794],[-77.2533,38.6806],[-77.2536,38.6806],[-77.2542,38.6811],[-77.2542,38.6814],[-77.2569,38.6842],[-77.2572,38.6839],[-77.2575,38.6839],[-77.2578,38.6836],[-77.2578,38.6833],[-77.2581,38.6831],[-77.2581,38.6828],[-77.2578,38.6828],[-77.2564,38.6814],[-77.2564,38.6811],[-77.2553,38.68],[-77.2547,38.68],[-77.2544,38.6797],[-77.252,38.676],[-77.2508,38.6744],[-77.2508,38.6742],[-77.2503,38.6733],[-77.2494,38.6728],[-77.2481,38.6731],[-77.2478,38.6728],[-77.2478,38.6722],[-77.2475,38.6719],[-77.245,38.6708],[-77.2447,38.6706],[-77.2436,38.6697],[-77.2433,38.6697],[-77.2431,38.6694],[-77.2428,38.6694],[-77.2417,38.6683],[-77.24,38.6664],[-77.24,38.6661],[-77.2397,38.6658],[-77.2394,38.665],[-77.2396,38.6643],[-77.2398,38.6638],[-77.244,38.6689],[-77.2498,38.6717],[-77.2527,38.6745],[-77.2549,38.6786],[-77.2659,38.6847],[-77.2728,38.6903],[-77.2786,38.6931],[-77.3018,38.7058],[-77.3077,38.7059],[-77.3137,38.7024],[-77.3256,38.7003],[-77.3291,38.7031],[-77.3242,38.7089],[-77.3247,38.7112],[-77.3323,38.7131],[-77.3316,38.7158],[-77.341,38.7183],[-77.355,38.723],[-77.3597,38.7236],[-77.3641,38.7164],[-77.3678,38.7106],[-77.373,38.7111],[-77.3777,38.7144],[-77.3828,38.7212],[-77.3796,38.7294],[-77.3801,38.7343],[-77.3853,38.7376],[-77.391,38.744],[-77.3944,38.7491],[-77.3985,38.751],[-77.4037,38.7524],[-77.4067,38.7507],[-77.4062,38.7484],[-77.4081,38.7453],[-77.411,38.7439],[-77.4128,38.7458],[-77.4126,38.7503],[-77.4101,38.7553],[-77.4147,38.7594],[-77.4176,38.7626],[-77.4134,38.7653],[-77.4162,38.7685],[-77.4173,38.7735],[-77.4219,38.7772],[-77.4271,38.7796],[-77.4307,38.7805],[-77.4341,38.7856],[-77.4357,38.7897],[-77.4379,38.7952],[-77.4402,38.7997],[-77.4442,38.8021],[-77.4495,38.8017],[-77.455,38.7986],[-77.4645,38.7956],[-77.4651,38.7956],[-77.4781,38.7963],[-77.484,38.7941],[-77.4887,38.7946],[-77.4922,38.797],[-77.4927,38.8015],[-77.4896,38.8046],[-77.4895,38.8083],[-77.4912,38.8101],[-77.4924,38.8115],[-77.5018,38.8143],[-77.5046,38.8171],[-77.5039,38.8248],[-77.5055,38.8271],[-77.5084,38.8317],[-77.5083,38.8344],[-77.5064,38.8385],[-77.5081,38.8407],[-77.52,38.8378],[-77.5271,38.8379],[-77.5324,38.8389],[-77.5347,38.8416],[-77.5358,38.8457],[-77.5369,38.8475],[-77.4747,38.9155],[-77.4705,38.9204],[-77.4291,38.9609],[-77.3273,39.0611],[-77.3267,39.061],[-77.3202,39.0593],[-77.3114,39.0564],[-77.3064,39.055],[-77.3048,39.0546],[-77.2989,39.0524],[-77.2944,39.0502],[-77.2891,39.0467],[-77.2829,39.0424],[-77.2787,39.0397],[-77.2746,39.037],[-77.2741,39.0367],[-77.2706,39.0348],[-77.2676,39.0342],[-77.2635,39.0333],[-77.2598,39.0324],[-77.2551,39.031],[-77.2508,39.0295],[-77.2483,39.0281],[-77.2457,39.026],[-77.2433,39.0233],[-77.2426,39.0198],[-77.2427,39.0175],[-77.2433,39.0148],[-77.245,39.0124],[-77.2463,39.0093],[-77.2471,39.0067],[-77.2478,39.0058],[-77.2485,39.0027],[-77.2489,39.0007],[-77.2493,38.9966],[-77.2482,38.9918],[-77.2447,38.9868],[-77.2401,38.9839],[-77.2345,38.9798],[-77.2271,38.9767],[-77.2257,38.9761],[-77.2235,38.9757],[-77.2203,38.9754],[-77.2161,38.9753],[-77.2114,38.9748],[-77.2073,38.9738],[-77.205,38.9729],[-77.2008,38.9711],[-77.1949,38.9692],[-77.192,38.9688],[-77.1902,38.9685],[-77.1885,38.9685],[-77.1731,38.9682],[-77.1702,38.9682]]]},\"properties\":{\"name\":\"Fairfax\",\"state\":\"VA\"}}]}","volume":"224","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Porter, Aaron J. 0000-0002-0781-3309","orcid":"https://orcid.org/0000-0002-0781-3309","contributorId":239980,"corporation":false,"usgs":true,"family":"Porter","given":"Aaron","email":"","middleInitial":"J.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruck, Christopher M.","contributorId":363394,"corporation":false,"usgs":false,"family":"Ruck","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86691,"text":"Fairfax County Department of Public Works and Environmental Services","active":true,"usgs":false}],"preferred":false,"id":951599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tassone, Spencer John 0000-0002-9340-7170","orcid":"https://orcid.org/0000-0002-9340-7170","contributorId":363395,"corporation":false,"usgs":true,"family":"Tassone","given":"Spencer","middleInitial":"John","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273406,"text":"70273406 - 2026 - Seed coating treatments alter emergence windows of native Intermountain West U.S. grasses under different regimes of water availability","interactions":[],"lastModifiedDate":"2026-02-09T16:22:21.286365","indexId":"70273406","displayToPublicDate":"2025-12-05T08:27:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seed coating treatments alter emergence windows of native Intermountain West U.S. grasses under different regimes of water availability","docAbstract":"<h3 id=\"rec70270-sec-0001-title\" class=\"article-section__sub-title section1\">Introduction</h3><p>Seed-based restoration is widely implemented to recover degraded lands but often fails. Seed enhancement technologies may improve outcomes by shifting emergence to target favorable climate windows and serving as a bet-hedging strategy against increasingly variable precipitation patterns.</p><h3 id=\"rec70270-sec-0002-title\" class=\"article-section__sub-title section1\">Objectives</h3><p>To test the potential benefit of these technologies, we applied seed coatings designed to accelerate or delay emergence to four native Intermountain West perennial grasses that are commonly used for restoration.</p><h3 id=\"rec70270-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We subjected seeds to six different watering regimes in the greenhouse that represented variation in precipitation timing and amount and compared the emergence, growth, and biomass of coated and uncoated seedlings.</p><h3 id=\"rec70270-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>Seed coating designed to accelerate germination strongly increased emergence in species with high dormancy requirements, while seed coating designed to delay germination decreased emergence in species with low dormancy by about half and postponed emergence by up to 15 days. These coatings altered emergence timing regardless of watering regime, suggesting that seed coating could expand emergence windows under variable precipitation regimes. Seedling growth and total biomass were less dependent on seed coating and were more driven by the average amount of soil moisture provisioned to the developing plant. While seed coating designed to accelerate germination increased the emergence of two grass species, growth decreased during late periods of water availability, suggesting a trade-off in seedling performance.</p><h3 id=\"rec70270-sec-0005-title\" class=\"article-section__sub-title section1\">Conclusions</h3><p>Our results show promise for seed coatings to shift windows of emergence, but further field testing could improve our understanding of their effects in restoration settings.</p><p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"></span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.70270","usgsCitation":"Shriver, L.C., Costanzo, S.A., Madsen, M.D., and Munson, S.M., 2026, Seed coating treatments alter emergence windows of native Intermountain West U.S. grasses under different regimes of water availability: Restoration Ecology, v. 34, no. 2, e70270, 13 p., https://doi.org/10.1111/rec.70270.","productDescription":"e70270, 13 p.","ipdsId":"IP-178162","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498684,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.70270","text":"Publisher Index Page"},{"id":498551,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.308163071492,\n              48.58767235929804\n            ],\n            [\n              -125.308163071492,\n              31.42342598902985\n            ],\n            [\n              -103.16723594782007,\n              31.42342598902985\n            ],\n            [\n              -103.16723594782007,\n              48.58767235929804\n            ],\n            [\n              -125.308163071492,\n              48.58767235929804\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Shriver, Laura Cecilia 0009-0008-5567-0868","orcid":"https://orcid.org/0009-0008-5567-0868","contributorId":334175,"corporation":false,"usgs":true,"family":"Shriver","given":"Laura","email":"","middleInitial":"Cecilia","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":953596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costanzo, Sarah A. 0000-0003-4137-1548","orcid":"https://orcid.org/0000-0003-4137-1548","contributorId":346108,"corporation":false,"usgs":true,"family":"Costanzo","given":"Sarah","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":953597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madsen, Matthew D.","contributorId":365043,"corporation":false,"usgs":false,"family":"Madsen","given":"Matthew","middleInitial":"D.","affiliations":[{"id":87029,"text":"Brigham Young University, Department of Plant and Wildlife Sciences, Provo, UT U.S.A.","active":true,"usgs":false}],"preferred":false,"id":953598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":953599,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273455,"text":"70273455 - 2026 - Groundwater salinity: Applying the specific conductance and water type proxy","interactions":[],"lastModifiedDate":"2026-03-23T14:34:26.123834","indexId":"70273455","displayToPublicDate":"2025-12-05T08:25:34","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater salinity: Applying the specific conductance and water type proxy","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Groundwater is increasingly needed for water supplies but may have limited utility in some locations because of its salinity. Salinity, often expressed as total dissolved solid (TDS), is frequently estimated using specific conductance (SC) measurements. However, the commonly used proxy (0.65 multiplied by SC to indicate TDS, common in many handheld meters) can result in inaccurate TDS estimates. First, the TDS–SC relationship is not linear over the entire concentration range of groundwater. Furthermore, the TDS (and salinity)–SC relationships vary substantially depending on the major-ion composition. Here we develop a proxy method utilizing SC and major-ion water type to estimate TDS and salinity specifically for groundwaters. Compared to most surface waters, groundwater tends to have a wider range of salinity (fresh to highly saline) and higher concentrations of bedrock-derived solutes such as carbonate ions, silica, and many other ions. The dataset used to develop the proxies includes water chemistry data from 149,059 discrete groundwater samples. The groundwater proxies, which employ nonlinear log–log relations, utilize five water types (HCO</span><sub>3</sub><span>, Cl, Ca-Mg-SO</span><sub>4</sub><span>, Na-K-SO</span><sub>4</sub><span>, and mixed waters), are accurate (median percent difference between TDS and salinity determined using the proxy compared to discrete measurements was &lt;±0.8%) over a wide range of SC (up to 200 mS/cm), rapid, cost-effective, and can be measured on-site.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.70038","usgsCitation":"McCleskey, R., Cravotta, C., Knierim, K.J., Stackelberg, P.E., and Killian, C.D., 2026, Groundwater salinity: Applying the specific conductance and water type proxy: Groundwater, v. 64, no. 2, p. 150-160, https://doi.org/10.1111/gwat.70038.","productDescription":"11 p.","startPage":"150","endPage":"160","ipdsId":"IP-173894","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":498611,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n                -89.6,\n                48.01\n              ],\n              [\n                -89.27292,\n                48.01981\n              ],\n              [\n                -88.37811,\n                48.30292\n              ],\n              [\n                -87.43979,\n                47.94\n              ],\n              [\n                -86.46199,\n                47.55334\n              ],\n              [\n                -85.65236,\n                47.22022\n              ],\n              [\n                -84.87608,\n                46.90008\n              ],\n              [\n                -84.77924,\n                46.6371\n              ],\n              [\n                -84.54375,\n                46.53868\n              ],\n              [\n                -84.6049,\n                46.4396\n              ],\n              [\n                -84.3367,\n                46.40877\n              ],\n              [\n                -84.14212,\n                46.51223\n              ],\n              [\n                -84.09185,\n                46.27542\n              ],\n              [\n                -83.89077,\n                46.11693\n              ],\n              [\n                -83.61613,\n                46.11693\n              ],\n              [\n                -83.46955,\n                45.99469\n              ],\n              [\n                -83.59285,\n                45.81689\n              ],\n              [\n                -82.55092,\n                45.34752\n              ],\n              [\n                -82.33776,\n                44.44\n              ],\n              [\n                -82.13764,\n                43.57109\n              ],\n              [\n                -82.43,\n                42.98\n              ],\n              [\n                -82.9,\n                42.43\n              ],\n              [\n                -83.12,\n                42.08\n              ],\n              [\n                -83.142,\n                41.97568\n              ],\n              [\n                -83.02981,\n                41.8328\n              ],\n              [\n                -82.69009,\n                41.67511\n              ],\n              [\n                -82.43928,\n                41.67511\n              ],\n              [\n                -81.27775,\n                42.20903\n              ],\n              [\n                -80.24745,\n                42.3662\n              ],\n              [\n                -78.93936,\n                42.86361\n              ],\n              [\n                -78.92,\n                42.965\n              ],\n              [\n                -79.01,\n                43.27\n              ],\n              [\n                -79.17167,\n                43.46634\n              ],\n              [\n                -78.72028,\n                43.62509\n              ],\n              [\n                -77.73789,\n                43.62906\n              ],\n              [\n                -76.82003,\n                43.62878\n              ],\n              [\n                -76.5,\n                44.01846\n              ],\n              [\n                -76.375,\n                44.09631\n              ],\n              [\n                -75.31821,\n                44.81645\n              ],\n              [\n                -74.867,\n                45.00048\n              ],\n              [\n                -73.34783,\n                45.00738\n              ],\n              [\n                -71.50506,\n                45.0082\n              ],\n              [\n                -71.405,\n                45.255\n              ],\n              [\n                -71.08482,\n                45.30524\n              ],\n              [\n                -70.66,\n                45.46\n              ],\n              [\n                -70.305,\n                45.915\n              ],\n              [\n                -69.99997,\n                46.69307\n              ],\n              [\n                -69.23722,\n                47.44778\n              ],\n              [\n                -68.905,\n                47.185\n              ],\n              [\n                -68.23444,\n                47.35486\n              ],\n              [\n                -67.79046,\n                47.06636\n              ],\n              [\n                -67.79134,\n                45.70281\n              ],\n              [\n                -67.13741,\n                45.13753\n              ],\n              [\n                -66.96466,\n                44.8097\n              ],\n              [\n                -68.03252,\n                44.3252\n              ],\n              [\n                -69.06,\n                43.98\n              ],\n              [\n                -70.11617,\n                43.68405\n              ],\n              [\n                -70.64548,\n                43.09024\n              ],\n              [\n                -70.81489,\n                42.8653\n              ],\n              [\n                -70.825,\n                42.335\n              ],\n              [\n                -70.495,\n                41.805\n              ],\n              [\n                -70.08,\n                41.78\n              ],\n              [\n                -70.185,\n                42.145\n              ],\n              [\n                -69.88497,\n                41.92283\n              ],\n              [\n                -69.96503,\n                41.63717\n              ],\n              [\n                -70.64,\n                41.475\n              ],\n              [\n                -71.12039,\n                41.49445\n              ],\n              [\n                -71.86,\n                41.32\n              ],\n              [\n                -72.295,\n                41.27\n              ],\n              [\n                -72.87643,\n                41.22065\n              ],\n              [\n                -73.71,\n                40.9311\n              ],\n              [\n                -72.24126,\n                41.11948\n              ],\n              [\n                -71.945,\n                40.93\n              ],\n              [\n                -73.345,\n                40.63\n              ],\n              [\n                -73.982,\n                40.628\n              ],\n              [\n                -73.95232,\n                40.75075\n              ],\n              [\n                -74.25671,\n                40.47351\n              ],\n              [\n                -73.96244,\n                40.42763\n              ],\n              [\n                -74.17838,\n                39.70926\n              ],\n              [\n                -74.90604,\n                38.93954\n              ],\n              [\n                -74.98041,\n                39.1964\n              ],\n              [\n                -75.20002,\n                39.24845\n              ],\n              [\n                -75.52805,\n                39.4985\n              ],\n              [\n                -75.32,\n                38.96\n              ],\n              [\n                -75.07183,\n                38.78203\n              ],\n              [\n                -75.05673,\n                38.40412\n              ],\n              [\n                -75.37747,\n                38.01551\n              ],\n              [\n                -75.94023,\n                37.21689\n              ],\n              [\n                -76.03127,\n                37.2566\n              ],\n              [\n                -75.72205,\n                37.93705\n              ],\n              [\n                -76.23287,\n                38.31921\n              ],\n              [\n                -76.35,\n                39.15\n              ],\n              [\n                -76.54272,\n                38.71762\n              ],\n              [\n                -76.32933,\n                38.08326\n              ],\n              [\n                -76.99,\n                38.23999\n              ],\n              [\n                -76.30162,\n                37.91794\n              ],\n              [\n                -76.25874,\n                36.9664\n              ],\n              [\n                -75.9718,\n                36.89726\n              ],\n              [\n                -75.86804,\n                36.55125\n              ],\n              [\n                -75.72749,\n                35.55074\n              ],\n              [\n                -76.36318,\n                34.80854\n              ],\n              [\n                -77.39763,\n                34.51201\n              ],\n              [\n                -78.05496,\n                33.92547\n              ],\n              [\n                -78.55435,\n                33.86133\n              ],\n              [\n                -79.06067,\n                33.49395\n              ],\n              [\n                -79.20357,\n                33.15839\n              ],\n              [\n                -80.30132,\n                32.50935\n              ],\n              [\n                -80.86498,\n                32.0333\n              ],\n              [\n                -81.33629,\n                31.44049\n              ],\n              [\n                -81.49042,\n                30.72999\n              ],\n              [\n                -81.31371,\n                30.03552\n              ],\n              [\n                -80.98,\n                29.18\n              ],\n              [\n                -80.53558,\n                28.47213\n              ],\n              [\n                -80.53,\n                28.04\n              ],\n              [\n                -80.05654,\n                26.88\n              ],\n              [\n                -80.08801,\n                26.20576\n              ],\n              [\n                -80.13156,\n                25.81677\n              ],\n              [\n                -80.38103,\n                25.20616\n              ],\n              [\n                -80.68,\n                25.08\n              ],\n              [\n                -81.17213,\n                25.20126\n              ],\n              [\n                -81.33,\n                25.64\n              ],\n              [\n                -81.71,\n                25.87\n              ],\n              [\n                -82.24,\n                26.73\n              ],\n              [\n                -82.70515,\n                27.49504\n              ],\n              [\n                -82.85526,\n                27.88624\n              ],\n              [\n                -82.65,\n                28.55\n              ],\n              [\n                -82.93,\n                29.1\n              ],\n              [\n                -83.70959,\n                29.93656\n              ],\n              [\n                -84.1,\n                30.09\n              ],\n              [\n                -85.10882,\n                29.63615\n              ],\n              [\n                -85.28784,\n                29.68612\n              ],\n              [\n                -85.7731,\n                30.15261\n              ],\n              [\n                -86.4,\n                30.4\n              ],\n              [\n                -87.53036,\n                30.27433\n              ],\n              [\n                -88.41782,\n                30.3849\n              ],\n              [\n                -89.18049,\n                30.31598\n              ],\n              [\n                -89.59383,\n                30.15999\n              ],\n              [\n                -89.41373,\n                29.89419\n              ],\n              [\n                -89.43,\n                29.48864\n              ],\n              [\n                -89.21767,\n                29.29108\n              ],\n              [\n                -89.40823,\n                29.15961\n              ],\n              [\n                -89.77928,\n                29.30714\n              ],\n              [\n                -90.15463,\n                29.11743\n              ],\n              [\n                -90.88022,\n                29.14854\n              ],\n              [\n                -91.62678,\n                29.677\n              ],\n              [\n                -92.49906,\n                29.5523\n              ],\n              [\n                -93.22637,\n                29.78375\n              ],\n              [\n                -93.84842,\n                29.71363\n              ],\n              [\n                -94.69,\n                29.48\n              ],\n              [\n                -95.60026,\n                28.73863\n              ],\n              [\n                -96.59404,\n                28.30748\n              ],\n              [\n                -97.14,\n                27.83\n              ],\n              [\n                -97.37,\n                27.38\n              ],\n              [\n                -97.38,\n                26.69\n              ],\n              [\n                -97.33,\n                26.21\n              ],\n              [\n                -97.14,\n                25.87\n              ],\n              [\n                -97.53,\n                25.84\n              ],\n              [\n                -98.24,\n                26.06\n              ],\n              [\n                -99.02,\n                26.37\n              ],\n              [\n                -99.3,\n                26.84\n              ],\n              [\n                -99.52,\n                27.54\n              ],\n              [\n                -100.11,\n                28.11\n              ],\n              [\n                -100.45584,\n                28.69612\n              ],\n              [\n                -100.9576,\n                29.38071\n              ],\n              [\n                -101.6624,\n                29.7793\n              ],\n              [\n                -102.48,\n                29.76\n              ],\n              [\n                -103.11,\n                28.97\n              ],\n              [\n                -103.94,\n                29.27\n              ],\n              [\n                -104.45697,\n                29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"64","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"McCleskey, R. Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":953765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":338312,"corporation":false,"usgs":false,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":81112,"text":"Cravotta Geochemical Consulting","active":true,"usgs":false}],"preferred":false,"id":953766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knierim, Katherine J. 0000-0002-5361-4132 kknierim@usgs.gov","orcid":"https://orcid.org/0000-0002-5361-4132","contributorId":191788,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine","email":"kknierim@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stackelberg, Paul E. 0000-0002-1818-355X","orcid":"https://orcid.org/0000-0002-1818-355X","contributorId":204864,"corporation":false,"usgs":true,"family":"Stackelberg","given":"Paul","middleInitial":"E.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":953768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Killian, Courtney D. 0000-0002-2137-2722","orcid":"https://orcid.org/0000-0002-2137-2722","contributorId":213990,"corporation":false,"usgs":true,"family":"Killian","given":"Courtney","email":"","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953769,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273093,"text":"70273093 - 2026 - Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools","interactions":[],"lastModifiedDate":"2025-12-15T15:39:54.921371","indexId":"70273093","displayToPublicDate":"2025-12-02T09:35:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools","docAbstract":"<p><span>Although coastal ecosystems are impacted by climate change and sea-level rise, many ecological and hydrological models do not yet incorporate sea-level rise projections in their modeling outputs. Therefore, this research examined the various challenges that may prevent sea-level rise from being effectively incorporated in modeling and decision-support tools. We conducted semi-structured interviews with twenty-six professionals involved in Florida’s Everglades restoration. We applied the Diffusions of Innovations Theory to better understand factors that can impact practitioners’ adoption of newly designed decision-support tools that examine sea-level rise in the freshwater Everglades. The Diffusions of Innovations Theory provided insights into practitioners’ perceptions of these tools. We found that these practitioners have a strong interest in using dynamic decision-support tools to plan for sea-level rise impacts on Everglades restoration, particularly when they receive information at appropriate geographic and temporal scales and are given hands-on tools and training. However, challenges that prevent developing these tools include outdated data, limited organizational capacity and funding, limited use of long-term indicators, uncertainty about climate change impacts on local ecosystems, and lack of integration between hydrological and ecological models. Our research also highlights that greater availability of different types of tools can help to meet the needs of the scientific and non-scientific audiences involved in Everglades restoration.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-025-02320-0","usgsCitation":"Castellano, S., Clarke, M., D’Acunto, L., Romanach, S., and Cadaval, S., 2026, Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools: Environmental Management, v. 76, 28, 16 p., https://doi.org/10.1007/s00267-025-02320-0.","productDescription":"28, 16 p.","ipdsId":"IP-178284","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-025-02320-0","text":"Publisher Index Page"},{"id":497522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.69704710537333,\n              26.24594963141459\n            ],\n            [\n              -81.83007585797539,\n              26.06420285323432\n            ],\n            [\n              -81.11975251860886,\n              25.0512667434422\n            ],\n            [\n              -80.33663986178148,\n              25.19217542692222\n            ],\n            [\n              -80.18604127393009,\n              26.735626731938453\n            ],\n            [\n              -81.69704710537333,\n              26.24594963141459\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"76","noUsgsAuthors":false,"publicationDate":"2025-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Castellano, Stephanie","contributorId":353362,"corporation":false,"usgs":false,"family":"Castellano","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarke, Mysha","contributorId":353361,"corporation":false,"usgs":false,"family":"Clarke","given":"Mysha","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":213745,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cadaval, Stephanie","contributorId":364187,"corporation":false,"usgs":false,"family":"Cadaval","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952304,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272794,"text":"70272794 - 2026 - Summary of first daily ring formation in otoliths of freshwater fishes in the continental United States","interactions":[],"lastModifiedDate":"2026-05-19T15:29:28.817295","indexId":"70272794","displayToPublicDate":"2025-12-02T08:49:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Summary of first daily ring formation in otoliths of freshwater fishes in the continental United States","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Daily ring counts in young-of-the-year fishes are important for estimating important vital rates, such as growth, mortality, and timing of hatch. To accurately estimate some of these rates, the timing of the first daily ring must be estimated accurately. Variation in the timing of&nbsp;the first daily ring can be attributed to many factors, including biology of the species and experience of laboratory personnel. The amount of variation and the degree of differences, however, have not been quantified, hindering the utility of daily ring information to provide accurate estimates of spawning and hatching times. We conducted a review of studies for freshwater fishes in the continental United States to quantify variation in daily ring validation studies as it relates to timing of the first ring. We found 40 studies representing 12 orders, 15&nbsp;families, and 35 species. Most studies investigated rings in the sagittae, although the lapilli and asterisci were also used for a few species. Variation in the timing of the first ring formation was evident, but not consistent among otolith types or groups of fishes. The first daily ring in sagittae varied from 31 d before hatch to 150 d after hatch. First daily ring formation in lapilli was consistent within families but formed before hatch in some families of fish and after hatch in other families. The first daily ring in asterisci were near universally formed after hatch, with the exception of one species of sturgeon (family Acipenseridae). Only three of the nine species where replicate studies existed were found to exhibit consistent first ring formation timing. Such findings suggest that differences among laboratories and personnel may play a larger role than differences among species or populations when inconsistent first ring formation timing results occur. For most species, error surrounding differences in timing formation is about 1 week, except for Salmoniformes, where error was up to a 150-d difference. Incorporating species biology along with uncertainty in temporal estimates based on otolith chronology would aid interpretation of results in field situations.</span></span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/fshmag/vuaf097","usgsCitation":"Long, J.M., and Snow, R.A., 2026, Summary of first daily ring formation in otoliths of freshwater fishes in the continental United States: Fisheries, v. 51, no. 5, p. 189-199, https://doi.org/10.1093/fshmag/vuaf097.","productDescription":"11 p.","startPage":"189","endPage":"199","ipdsId":"IP-170212","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":497282,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"continental United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n                -89.6,\n                48.01\n              ],\n              [\n                -89.27292,\n                48.01981\n              ],\n              [\n                -88.37811,\n                48.30292\n              ],\n              [\n                -87.43979,\n                47.94\n              ],\n              [\n                -86.46199,\n                47.55334\n              ],\n              [\n                -85.65236,\n                47.22022\n              ],\n              [\n                -84.87608,\n                46.90008\n              ],\n              [\n                -84.77924,\n                46.6371\n              ],\n              [\n                -84.54375,\n                46.53868\n              ],\n              [\n                -84.6049,\n                46.4396\n              ],\n              [\n                -84.3367,\n                46.40877\n              ],\n              [\n                -84.14212,\n                46.51223\n              ],\n              [\n                -84.09185,\n                46.27542\n              ],\n              [\n                -83.89077,\n                46.11693\n              ],\n              [\n                -83.61613,\n                46.11693\n              ],\n              [\n                -83.46955,\n                45.99469\n              ],\n              [\n                -83.59285,\n                45.81689\n              ],\n              [\n                -82.55092,\n                45.34752\n              ],\n              [\n                -82.33776,\n                44.44\n              ],\n              [\n                -82.13764,\n                43.57109\n              ],\n              [\n                -82.43,\n                42.98\n              ],\n              [\n                -82.9,\n                42.43\n              ],\n              [\n                -83.12,\n                42.08\n              ],\n              [\n                -83.142,\n                41.97568\n              ],\n              [\n                -83.02981,\n                41.8328\n              ],\n              [\n                -82.69009,\n                41.67511\n              ],\n              [\n                -82.43928,\n                41.67511\n              ],\n              [\n                -81.27775,\n                42.20903\n              ],\n              [\n                -80.24745,\n                42.3662\n              ],\n              [\n                -78.93936,\n                42.86361\n              ],\n              [\n                -78.92,\n                42.965\n              ],\n              [\n                -79.01,\n                43.27\n              ],\n              [\n                -79.17167,\n                43.46634\n              ],\n              [\n                -78.72028,\n                43.62509\n              ],\n              [\n                -77.73789,\n                43.62906\n              ],\n              [\n                -76.82003,\n                43.62878\n              ],\n              [\n                -76.5,\n                44.01846\n              ],\n              [\n                -76.375,\n                44.09631\n              ],\n              [\n                -75.31821,\n                44.81645\n              ],\n              [\n                -74.867,\n                45.00048\n              ],\n              [\n                -73.34783,\n                45.00738\n              ],\n              [\n                -71.50506,\n                45.0082\n              ],\n              [\n                -71.405,\n                45.255\n              ],\n              [\n                -71.08482,\n                45.30524\n              ],\n              [\n                -70.66,\n                45.46\n              ],\n              [\n                -70.305,\n                45.915\n              ],\n              [\n                -69.99997,\n                46.69307\n              ],\n              [\n                -69.23722,\n                47.44778\n              ],\n              [\n                -68.905,\n                47.185\n              ],\n              [\n                -68.23444,\n                47.35486\n              ],\n              [\n                -67.79046,\n                47.06636\n              ],\n              [\n                -67.79134,\n                45.70281\n              ],\n              [\n                -67.13741,\n                45.13753\n              ],\n              [\n                -66.96466,\n                44.8097\n              ],\n              [\n                -68.03252,\n                44.3252\n              ],\n              [\n                -69.06,\n                43.98\n              ],\n              [\n                -70.11617,\n                43.68405\n              ],\n              [\n                -70.64548,\n                43.09024\n              ],\n              [\n                -70.81489,\n                42.8653\n              ],\n              [\n                -70.825,\n                42.335\n              ],\n              [\n                -70.495,\n                41.805\n              ],\n              [\n                -70.08,\n                41.78\n              ],\n              [\n                -70.185,\n                42.145\n              ],\n              [\n                -69.88497,\n                41.92283\n              ],\n              [\n                -69.96503,\n                41.63717\n              ],\n              [\n                -70.64,\n                41.475\n              ],\n              [\n                -71.12039,\n                41.49445\n              ],\n              [\n                -71.86,\n                41.32\n              ],\n              [\n                -72.295,\n                41.27\n              ],\n              [\n                -72.87643,\n                41.22065\n              ],\n              [\n                -73.71,\n                40.9311\n              ],\n              [\n                -72.24126,\n                41.11948\n              ],\n              [\n                -71.945,\n                40.93\n              ],\n              [\n                -73.345,\n                40.63\n              ],\n              [\n                -73.982,\n                40.628\n              ],\n              [\n                -73.95232,\n                40.75075\n              ],\n              [\n                -74.25671,\n                40.47351\n              ],\n              [\n                -73.96244,\n                40.42763\n              ],\n              [\n                -74.17838,\n                39.70926\n              ],\n              [\n                -74.90604,\n                38.93954\n              ],\n              [\n                -74.98041,\n                39.1964\n              ],\n              [\n                -75.20002,\n                39.24845\n              ],\n              [\n                -75.52805,\n                39.4985\n              ],\n              [\n                -75.32,\n                38.96\n              ],\n              [\n                -75.07183,\n                38.78203\n              ],\n              [\n                -75.05673,\n                38.40412\n              ],\n              [\n                -75.37747,\n                38.01551\n              ],\n              [\n                -75.94023,\n                37.21689\n              ],\n              [\n                -76.03127,\n                37.2566\n              ],\n              [\n                -75.72205,\n                37.93705\n              ],\n              [\n                -76.23287,\n                38.31921\n              ],\n              [\n                -76.35,\n                39.15\n              ],\n              [\n                -76.54272,\n                38.71762\n              ],\n              [\n                -76.32933,\n                38.08326\n              ],\n              [\n                -76.99,\n                38.23999\n              ],\n              [\n                -76.30162,\n                37.91794\n              ],\n              [\n                -76.25874,\n                36.9664\n              ],\n              [\n                -75.9718,\n                36.89726\n              ],\n              [\n                -75.86804,\n                36.55125\n              ],\n              [\n                -75.72749,\n                35.55074\n              ],\n              [\n                -76.36318,\n                34.80854\n              ],\n              [\n                -77.39763,\n                34.51201\n              ],\n              [\n                -78.05496,\n                33.92547\n              ],\n              [\n                -78.55435,\n                33.86133\n              ],\n              [\n                -79.06067,\n                33.49395\n              ],\n              [\n                -79.20357,\n                33.15839\n              ],\n              [\n                -80.30132,\n                32.50935\n              ],\n              [\n                -80.86498,\n                32.0333\n              ],\n              [\n                -81.33629,\n                31.44049\n              ],\n              [\n                -81.49042,\n                30.72999\n              ],\n              [\n                -81.31371,\n                30.03552\n              ],\n              [\n                -80.98,\n                29.18\n              ],\n              [\n                -80.53558,\n                28.47213\n              ],\n              [\n                -80.53,\n                28.04\n              ],\n              [\n                -80.05654,\n                26.88\n              ],\n              [\n                -80.08801,\n                26.20576\n              ],\n              [\n                -80.13156,\n                25.81677\n              ],\n              [\n                -80.38103,\n                25.20616\n              ],\n              [\n                -80.68,\n                25.08\n              ],\n              [\n                -81.17213,\n                25.20126\n              ],\n              [\n                -81.33,\n                25.64\n              ],\n              [\n                -81.71,\n                25.87\n              ],\n              [\n                -82.24,\n                26.73\n              ],\n              [\n                -82.70515,\n                27.49504\n              ],\n              [\n                -82.85526,\n                27.88624\n              ],\n              [\n                -82.65,\n                28.55\n              ],\n              [\n                -82.93,\n                29.1\n              ],\n              [\n                -83.70959,\n                29.93656\n              ],\n              [\n                -84.1,\n                30.09\n              ],\n              [\n                -85.10882,\n                29.63615\n              ],\n              [\n                -85.28784,\n                29.68612\n              ],\n              [\n                -85.7731,\n                30.15261\n              ],\n              [\n                -86.4,\n                30.4\n              ],\n              [\n                -87.53036,\n                30.27433\n              ],\n              [\n                -88.41782,\n                30.3849\n              ],\n              [\n                -89.18049,\n                30.31598\n              ],\n              [\n                -89.59383,\n                30.15999\n              ],\n              [\n                -89.41373,\n                29.89419\n              ],\n              [\n                -89.43,\n                29.48864\n              ],\n              [\n                -89.21767,\n                29.29108\n              ],\n              [\n                -89.40823,\n                29.15961\n              ],\n              [\n                -89.77928,\n                29.30714\n              ],\n              [\n                -90.15463,\n                29.11743\n              ],\n              [\n                -90.88022,\n                29.14854\n              ],\n              [\n                -91.62678,\n                29.677\n              ],\n              [\n                -92.49906,\n                29.5523\n              ],\n              [\n                -93.22637,\n                29.78375\n              ],\n              [\n                -93.84842,\n                29.71363\n              ],\n              [\n                -94.69,\n                29.48\n              ],\n              [\n                -95.60026,\n                28.73863\n              ],\n              [\n                -96.59404,\n                28.30748\n              ],\n              [\n                -97.14,\n                27.83\n              ],\n              [\n                -97.37,\n                27.38\n              ],\n              [\n                -97.38,\n                26.69\n              ],\n              [\n                -97.33,\n                26.21\n              ],\n              [\n                -97.14,\n                25.87\n              ],\n              [\n                -97.53,\n                25.84\n              ],\n              [\n                -98.24,\n                26.06\n              ],\n              [\n                -99.02,\n                26.37\n              ],\n              [\n                -99.3,\n                26.84\n              ],\n              [\n                -99.52,\n                27.54\n              ],\n              [\n                -100.11,\n                28.11\n              ],\n              [\n                -100.45584,\n                28.69612\n              ],\n              [\n                -100.9576,\n                29.38071\n              ],\n              [\n                -101.6624,\n                29.7793\n              ],\n              [\n                -102.48,\n                29.76\n              ],\n              [\n                -103.11,\n                28.97\n              ],\n              [\n                -103.94,\n                29.27\n              ],\n              [\n                -104.45697,\n                29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"51","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":951796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snow, Richard A.","contributorId":264712,"corporation":false,"usgs":false,"family":"Snow","given":"Richard","middleInitial":"A.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":951797,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273163,"text":"70273163 - 2026 - Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment","interactions":[],"lastModifiedDate":"2026-02-24T16:36:22.478591","indexId":"70273163","displayToPublicDate":"2025-12-01T09:08:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Predicting niche spaces of expanding Evening Bat (<i>Nycticeius humeralis</i>) populations following white-nose syndrome establishment","title":"Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment","docAbstract":"<p><span>Observations of the Evening Bat (</span><i>Nycticeius humeralis</i><span>), a species historically distributed abundantly throughout the southeastern United States, are speculated to have increased in the Midwest. One hypothesis for this expansion in geographic distribution is that local extirpations of other bat species resulted in the expanded realized niche spaces for evening bats. In Indiana, such niche spaces may have been created by declines in populations of the Northern Long-eared Bat (</span><i>Myotis septentrionalis</i><span>), Indiana Bat (</span><i>M. sodalis</i><span>), Little Brown Bat (</span><i>M. lucifugus</i><span>), Big Brown Bat (</span><i>Eptesicus fuscus</i><span>), and the Tri-colored Bat (</span><i>Perimyotis subflavus</i><span>) due to white-nose syndrome (WNS). Our goal was to estimate the occupancy of Evening Bat in Indiana post-WNS establishment relative to the occupancy of other bat species before significant population declines caused by WNS. We expected that indices of occupancy of nearly extirpated species pre-WNS establishment would best predict current Evening Bat observations, and this would elucidate the niche space evening bats are now filling. We hypothesized that Evening Bat populations may be expanding their geographic range due to compensatory community dynamics, and that their realized niche space may be expanding in part due to losses of other bat species from WNS. We constructed multi-season Bayesian occupancy models using informative priors and integrative prior knowledge to test our predictions. We found that evening bats are occupying the niche space they were already occupying pre-WNS establishment. Furthermore, our results indicate that evening bats may be filling the niche space left behind by&nbsp;</span><i>Myotis</i><span>&nbsp;spp. (</span><i>M. sodalis</i><span>&nbsp;and&nbsp;</span><i>M. lucifigus</i><span>). These results can help us understand the dynamics of bat communities in a post-WNS establishment landscape and may also help to inform conservation of imperiled&nbsp;</span><i>Myotis</i><span>&nbsp;species.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyaf078","usgsCitation":"Martinez, S.B., D’Acunto, L., Westrich, B.J., Bergeson, S.M., and Zollner, P.A., 2025, Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment: Journal of Mammalogy, https://doi.org/10.1093/jmammal/gyaf078.","productDescription":"11 p.","startPage":"135","endPage":"145","ipdsId":"IP-166556","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497633,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Martinez, Sally B. 0009-0005-5869-4425","orcid":"https://orcid.org/0009-0005-5869-4425","contributorId":364343,"corporation":false,"usgs":false,"family":"Martinez","given":"Sally","middleInitial":"B.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":952556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westrich, Bradford J. 0000-0003-2512-2859","orcid":"https://orcid.org/0000-0003-2512-2859","contributorId":364344,"corporation":false,"usgs":false,"family":"Westrich","given":"Bradford","middleInitial":"J.","affiliations":[{"id":55448,"text":"Indiana Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergeson, Scott M. 0000-0003-2956-4689","orcid":"https://orcid.org/0000-0003-2956-4689","contributorId":364345,"corporation":false,"usgs":false,"family":"Bergeson","given":"Scott","middleInitial":"M.","affiliations":[{"id":86812,"text":"Purdue University Fort Wayne","active":true,"usgs":false}],"preferred":false,"id":952559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zollner, Patrick A. 0000-0001-8263-7029","orcid":"https://orcid.org/0000-0001-8263-7029","contributorId":364346,"corporation":false,"usgs":false,"family":"Zollner","given":"Patrick","middleInitial":"A.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":952560,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273131,"text":"70273131 - 2026 - Summer snow determines the depth to ice-cemented ground under dry permafrost in Antarctica","interactions":[],"lastModifiedDate":"2026-04-20T15:47:23.032292","indexId":"70273131","displayToPublicDate":"2025-11-27T09:10:10","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":814,"text":"Antarctic Science","onlineIssn":"1365-2079","printIssn":"0954-1020","active":true,"publicationSubtype":{"id":10}},"title":"Summer snow determines the depth to ice-cemented ground under dry permafrost in Antarctica","docAbstract":"<p><span>Dry permafrost underlain by ice-cemented permafrost has been reported in several locations in Antarctica. Initially thought to be relic ice, it is now understood that this subsurface ice is in equilibrium with the surface conditions, although it is not in equilibrium with the atmosphere. We use year-round data from University Valley in the Dry Valleys and Elephant Head in the Ellsworth Mountains to investigate the seasonal variations in water vapour flux that control the depth to the ice table under dry permafrost. Our analysis shows that the mean annual water vapour density of the soil surface exceeds the atmospheric value by a factor of up to ~2 due to summer snow. The attenuation and phase shift of the annual temperature cycle with depth result in colder temperatures at the ice table than at the surface of the soil in summer. We conclude that this temperature gradient, combined with the summer snow, provides the flux of water to the ice table necessary to maintain the ice. In University Valley, reducing the snow days by 40% moves the stability depth of the ice table from 42 to 66 cm. Increasing the snow days by 60% shifts the ice table to 17 cm. These variations can explain the observed gradient in the depth to the ice table in University Valley.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0954102025100448","usgsCitation":"McKay, C.P., Marinova, M., Williams, K.E., and Mellon, M., 2026, Summer snow determines the depth to ice-cemented ground under dry permafrost in Antarctica: Antarctic Science, v. 38, no. 2, p. 122-134, https://doi.org/10.1017/S0954102025100448.","productDescription":"13 p.","startPage":"122","endPage":"134","ipdsId":"IP-173704","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":497566,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497724,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0954102025100448","text":"Publisher Index Page"}],"volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"McKay, C. P.","contributorId":237824,"corporation":false,"usgs":false,"family":"McKay","given":"C.","email":"","middleInitial":"P.","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":952401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marinova, M.","contributorId":364258,"corporation":false,"usgs":false,"family":"Marinova","given":"M.","affiliations":[{"id":86775,"text":"M3 Interplanetary Corp.","active":true,"usgs":false}],"preferred":false,"id":952402,"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":952403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mellon, M.","contributorId":241722,"corporation":false,"usgs":false,"family":"Mellon","given":"M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952404,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272792,"text":"70272792 - 2026 - Trophic assessment of potential competition between invasive cichlids and sport fish in Puerto Rico reservoirs","interactions":[],"lastModifiedDate":"2026-02-09T16:15:17.311951","indexId":"70272792","displayToPublicDate":"2025-11-26T08:39:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Trophic assessment of potential competition between invasive cichlids and sport fish in Puerto Rico reservoirs","docAbstract":"<p>Objective&nbsp;</p><p><span>Several species of New World cichlids have recently invaded reservoirs in Puerto Rico, potentially jeopardizing established recreationally important, albeit nonnative, sport fish populations. Interactions between invasive species and important sport fish must be understood so that they can be mitigated when feasible. This study compared monthly prey consumption between three invasive cichlids (Jaguar Guapote&nbsp;</span><i>Parachromis managuensis</i><span>&nbsp;and two species of&nbsp;</span><i>Amphilophus</i><span>) and two principal sport fishes (Largemouth Bass&nbsp;</span><i>Micropterus nigricans</i><span>&nbsp;and Butterfly Peacock Bass&nbsp;</span><i>Cichla ocellaris</i><span>) to understand potential for competitive interactions.</span></p><p><span>Methods</span></p><p><span>Stomach contents were evaluated quarterly using gastric lavage for sport fish and destructive sampling techniques for invasive species. Prey proportion by mass was calculated for each individual, and mean prey proportion by mass was calculated for each species by reservoir, month, and overall. Multivariate hypothesis testing using permutational multivariate analysis of variance and visualization of potential diet overlap were performed via analysis of variance and nonmetric multidimensional scaling (NMDS), respectively.</span></p><p><span>Results</span></p><p><span>Fish were the most common prey type, and Threadfin Shad&nbsp;<i>Dorosoma petenense</i>&nbsp;was the most prevalent prey species. Although there were significant differences in diets of invasive cichlids and sport fishes (<i>P</i>&nbsp;&lt; 0.01), there also was considerable overlap based on low percentages of variation in diets explained by species (3–19% &lt; pseudo-<i>R</i><sup>2</sup>) and NMDS visualizations. Diets varied little across reservoirs and months (≤4% pseudo-<i>R</i><sup>2</sup>; high overlap in NMDS space).</span></p><p><span>Conclusion</span></p><p><span>These data indicate that the diet of Jaguar Guapote and&nbsp;<i>Amphilophus</i>&nbsp;spp. may overlap with that of sport fish populations in Puerto Rico. Jaguar Guapote relied on Threadfin Shad more than other species, with&nbsp;<i>Amphilophus</i>&nbsp;spp. relying more on detritus and noncrayfish invertebrates. Thus, if prey are limited, Jaguar Guapote may have a more direct effect via competition for prey. Finally, we report evidence of Largemouth Bass recruitment failure and local extirpations that support a hypothesis that invasive cichlids are having negative effects on at least Largemouth Bass, although the mechanism is unclear.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf112","usgsCitation":"Neal, J.W., Moreland, J.A., Dunn, C.G., and Allen, P.J., 2026, Trophic assessment of potential competition between invasive cichlids and sport fish in Puerto Rico reservoirs: North American Journal of Fisheries Management, v. 46, no. 1, p. 139-147, https://doi.org/10.1093/najfmt/vqaf112.","productDescription":"9 p.","startPage":"139","endPage":"147","ipdsId":"IP-179686","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":497281,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -67.31283547050414,\n              18.595138471481363\n            ],\n            [\n              -67.31283547050414,\n              17.867364144121026\n            ],\n            [\n              -65.18239183705461,\n              17.867364144121026\n            ],\n            [\n              -65.18239183705461,\n              18.595138471481363\n            ],\n            [\n              -67.31283547050414,\n              18.595138471481363\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Neal, J. Wesley","contributorId":363569,"corporation":false,"usgs":false,"family":"Neal","given":"J.","middleInitial":"Wesley","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":951792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moreland, Jacob A.","contributorId":363570,"corporation":false,"usgs":false,"family":"Moreland","given":"Jacob","middleInitial":"A.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":951793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunn, Corey Garland 0000-0002-7102-2165","orcid":"https://orcid.org/0000-0002-7102-2165","contributorId":288691,"corporation":false,"usgs":true,"family":"Dunn","given":"Corey","email":"","middleInitial":"Garland","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":951794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Peter J.","contributorId":363571,"corporation":false,"usgs":false,"family":"Allen","given":"Peter","middleInitial":"J.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":951795,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273757,"text":"70273757 - 2026 - Water residence time and water depth influence on nutrient conditions, eutrophication endpoints and habitat quality in backwater lakes of a large floodplain river","interactions":[],"lastModifiedDate":"2026-03-09T14:48:05.557391","indexId":"70273757","displayToPublicDate":"2025-11-25T09:43:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Water residence time and water depth influence on nutrient conditions, eutrophication endpoints and habitat quality in backwater lakes of a large floodplain river","docAbstract":"<p><span>Many eutrophication studies focus on the external supply of critical nutrients like nitrogen and phosphorus, but hydrology and geomorphology can enhance or dampen the effects of excessive nutrient supply. We studied six backwater lakes in the Upper Mississippi River that varied in water residence time and water depth. Eutrophication in these systems is responsible for negative impacts such as cyanobacterial blooms and toxicity, and floating plant and algal mats that disrupt recreational water uses. Increasing backwater residence time was associated with more nitrate removal and a greater likelihood of nitrogen limitation, as well as greater accumulations of duckweed. Backwaters with greater depth and lower nitrogen concentration had less likelihood of filamentous algal accumulations. The median water residence time of backwaters with low duckweed (11.7 days) and no filamentous algae (16.9 days) approached the 12-day target to maintain overwintering conditions in backwaters for fisheries survival, supporting that water residence times in this range would likely improve both winter and summer water quality. Mean depth in backwaters with low duckweed and no filamentous algae was ~1.3 m, while shallower backwaters were more likely to produce duckweed and filamentous algae mats. This indicates that deeper backwaters might reduce the likelihood of eutrophication impacts. Natural resource management at the local level may not always be able to answer global and regional threats, but habitat restoration of hydrology and geomorphology can possibly alleviate or reduce large-scale threats at the local level.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.70083","usgsCitation":"Giblin, S.M., Larson, J.H., and King, J.D., 2026, Water residence time and water depth influence on nutrient conditions, eutrophication endpoints and habitat quality in backwater lakes of a large floodplain river: River Research and Applications, v. 42, no. 3, p. 547-563, https://doi.org/10.1002/rra.70083.","productDescription":"17 p.","startPage":"547","endPage":"563","ipdsId":"IP-177500","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":499173,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.94320139911451,\n              44.27154014954243\n            ],\n            [\n              -91.95438545368775,\n              44.21619328991649\n            ],\n            [\n              -91.82576882609426,\n              44.11674648947249\n            ],\n            [\n              -91.41795726779453,\n              43.914853669211254\n            ],\n            [\n              -91.3181962287206,\n              43.55922418216956\n            ],\n            [\n              -91.18629456902488,\n              43.56018234845769\n            ],\n            [\n              -91.23103078731836,\n              43.9624257686493\n            ],\n            [\n              -91.90306563491376,\n              44.27334527127165\n            ],\n            [\n              -91.94320139911451,\n              44.27154014954243\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Giblin, Shawn M.","contributorId":365669,"corporation":false,"usgs":false,"family":"Giblin","given":"Shawn","middleInitial":"M.","affiliations":[{"id":82352,"text":"Wisconsin Department of Natural Resources (WI DNR)","active":true,"usgs":false}],"preferred":false,"id":954586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":954587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Jeremy D.","contributorId":365670,"corporation":false,"usgs":false,"family":"King","given":"Jeremy","middleInitial":"D.","affiliations":[{"id":87185,"text":"Wisconsin Department of Natural Resources (WI DNR","active":true,"usgs":false}],"preferred":false,"id":954588,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70276466,"text":"70276466 - 2026 - Causal networks to inform decisions for ecological restoration","interactions":[],"lastModifiedDate":"2026-06-05T14:34:48.531152","indexId":"70276466","displayToPublicDate":"2025-11-25T09:32:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Causal networks to inform decisions for ecological restoration","docAbstract":"<p><span>The release of contaminants into the environment can occur from anthropogenic activities, such as oil extraction and transportation, mining, and industrial processes. Remediation associated with reducing contaminant concentrations, and restoration that improves animals and supporting habitat, are often needed to restore ecosystems to their pre-release, baseline condition. We demonstrated the application of Bayesian Decision Networks (BDNs) with two Natural Resource Damage Assessment and Restoration (NRDAR) case studies. We use a stylized case study of riparian restoration following the remediation of a mine-impacted site to evaluate proposed restoration actions aimed at restoring Song Sparrow (</span><i>Melospiza melodia</i><span>) populations to baseline conditions. We then use a settled NRDAR case with implemented restoration in the Upper Arkansas River (UAR, Colorado, USA) to demonstrate the application of BDNs to evaluate and forecast restoration effectiveness for Brown Trout (</span><i>Salmo trutta</i><span>) (i.e., restoration effectiveness assessment). The riparian restoration model showed differences in the effects of restoration actions on Song Sparrow populations, with the time to reach baseline generally reduced with increased restoration costs, indicating trade-offs between costs and expected recovery. The UAR model showed recovery of Brown Trout populations (i.e., uplift) in response to improved instream habitat restoration, along with forecasted improvements. While the BDNs we developed were specific to two case studies, the structure is adaptable to a diversity of sites, resources, and actions. We suggest that causal network modeling can provide restoration practitioners with a decision advisory tool useful for a wide range of projects.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-025-02323-x","usgsCitation":"Kotalik, C.J., Rowland, F.E., Marcot, B.G., Skrabis, K.E., Walters, D., Hinck, J.E., Clements, W.H., Richer, E.E., and Isanhart, J.P., 2026, Causal networks to inform decisions for ecological restoration: Environmental Management, v. 76, no. 1, 7, 14 p., https://doi.org/10.1007/s00267-025-02323-x.","productDescription":"7, 14 p.","ipdsId":"IP-175595","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":505092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kotalik, Christopher James 0000-0001-6739-6036","orcid":"https://orcid.org/0000-0001-6739-6036","contributorId":301847,"corporation":false,"usgs":true,"family":"Kotalik","given":"Christopher","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowland, Freya Elizabeth 0000-0002-1041-5301","orcid":"https://orcid.org/0000-0002-1041-5301","contributorId":302395,"corporation":false,"usgs":true,"family":"Rowland","given":"Freya","email":"","middleInitial":"Elizabeth","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marcot, Bruce G.","contributorId":371839,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","middleInitial":"G.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":962448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skrabis, Kristin E.","contributorId":371840,"corporation":false,"usgs":false,"family":"Skrabis","given":"Kristin","middleInitial":"E.","affiliations":[{"id":88226,"text":"DOI - Office of Policy Analysis","active":true,"usgs":false}],"preferred":false,"id":962449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":203410,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962450,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962451,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clements, William H.","contributorId":371842,"corporation":false,"usgs":false,"family":"Clements","given":"William","middleInitial":"H.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":962452,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richer, Eric E.","contributorId":371843,"corporation":false,"usgs":false,"family":"Richer","given":"Eric","middleInitial":"E.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":962453,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Isanhart, John P.","contributorId":371844,"corporation":false,"usgs":false,"family":"Isanhart","given":"John","middleInitial":"P.","affiliations":[{"id":88228,"text":"DOI - Office of Restoration and Damage Assessment","active":true,"usgs":false}],"preferred":false,"id":962454,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70274012,"text":"70274012 - 2026 - Development of high-throughput genomic resources to inform white-tailed deer population and disease management","interactions":[],"lastModifiedDate":"2026-02-20T15:10:59.016463","indexId":"70274012","displayToPublicDate":"2025-11-25T09:05:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development of high-throughput genomic resources to inform white-tailed deer population and disease management","docAbstract":"<p><span>White-tailed deer (</span><i>Odocoileus virginianus</i><span>) are the most abundant and widespread cervid in North America. Genetic data are used as a tool to monitor populations and make management decisions for this game species. However, the development and use of genomic tools that can generate a set of markers suitable for longitudinal genomic data collection, whether for management purposes or to study the demographic and evolutionary processes of widely distributed species, have been challenging. This is mainly due to the cost required to fully implement and interpret the data produced. Here, we generated whole genome resequencing data for 44 free-ranging deer from three regions in their central and eastern North American range and identified over 89 million single nucleotide polymorphisms (SNPs). We used a subset of these SNPs to develop two nested SNP tools, a high-density array (702,183 SNPs) and a medium-density array (72,723 SNPs) to support deer and chronic wasting disease (CWD) management and research. SNPs were selected to ensure an even distribution across scaffolds of the reference genome and include SNPs associated with CWD susceptibility. Using genotyping results for 469 deer from 15 states in the US and Mexico generated by the high-density array and 1335 deer from 18 states generated by the medium-density array, we assessed genotyping success across different populations and explored some insights into population structure. These genomic tools offer a standard set of markers that will enable researchers and managers to address important questions related to white-tailed deer and CWD management. Our SNP arrays also offer the opportunity to examine aspects of white-tailed deer ecology and evolutionary history that were previously difficult to address.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.70085","usgsCitation":"Navarro, D., Latch, E.K., Tallon, A.K., Ott-Conn, C.N., DeYoung, R.W., Walsh, D.P., Euclide, P.T., Chandika, R., Larson, W.A., Seetharam, A.S., Severin, A.J., Severin, A.J., Reecy, J.M., Hu, Z., Cantrell, J.R., Carstensen, M., Caudell, J.N., Killmaster, C.H., Lockwood, M.L., McKinley, W.T., Norton, A.S., Schuler, K.L., Storm, D.J., Sumners, J.A., Walter, W., Blanchong, J.A., 2026, Development of high-throughput genomic resources to inform white-tailed deer population and disease management: Molecular Ecology Resources, v. 26, no. 1, e70085, 16 p., https://doi.org/10.1111/1755-0998.70085.","productDescription":"e70085, 16 p.","ipdsId":"IP-179449","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500827,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.70085","text":"Publisher Index Page"},{"id":500339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Navarro, David","contributorId":366660,"corporation":false,"usgs":false,"family":"Navarro","given":"David","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Latch, Emily K.","contributorId":366661,"corporation":false,"usgs":false,"family":"Latch","given":"Emily","middleInitial":"K.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":956140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tallon, Anaïs K.","contributorId":366662,"corporation":false,"usgs":false,"family":"Tallon","given":"Anaïs","middleInitial":"K.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":956141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ott-Conn, Caitlin N.","contributorId":366663,"corporation":false,"usgs":false,"family":"Ott-Conn","given":"Caitlin","middleInitial":"N.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":956142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeYoung, Randy W.","contributorId":366664,"corporation":false,"usgs":false,"family":"DeYoung","given":"Randy","middleInitial":"W.","affiliations":[{"id":13724,"text":"Texas A&M University-Kingsville","active":true,"usgs":false}],"preferred":false,"id":956143,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956144,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Euclide, Peter T.","contributorId":366675,"corporation":false,"usgs":false,"family":"Euclide","given":"Peter","middleInitial":"T.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":956145,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chandika, R.G.","contributorId":366676,"corporation":false,"usgs":false,"family":"Chandika","given":"R.G.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":956146,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Larson, Wes A.","contributorId":366677,"corporation":false,"usgs":false,"family":"Larson","given":"Wes","middleInitial":"A.","affiliations":[{"id":51829,"text":"NOAA Alaska Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":956147,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Seetharam, Arun S.","contributorId":366678,"corporation":false,"usgs":false,"family":"Seetharam","given":"Arun","middleInitial":"S.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956148,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Severin, Andrew J.","contributorId":366679,"corporation":false,"usgs":false,"family":"Severin","given":"Andrew","middleInitial":"J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956149,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Severin, Andrew J.","contributorId":366680,"corporation":false,"usgs":false,"family":"Severin","given":"Andrew","middleInitial":"J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956150,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Reecy, James M.","contributorId":366681,"corporation":false,"usgs":false,"family":"Reecy","given":"James","middleInitial":"M.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956151,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hu, Zhi-Liang","contributorId":366682,"corporation":false,"usgs":false,"family":"Hu","given":"Zhi-Liang","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956152,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Cantrell, Jay R.","contributorId":366683,"corporation":false,"usgs":false,"family":"Cantrell","given":"Jay","middleInitial":"R.","affiliations":[{"id":35670,"text":"South Carolina Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":956153,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Carstensen, Michelle","contributorId":348900,"corporation":false,"usgs":false,"family":"Carstensen","given":"Michelle","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":956154,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Caudell, Joe N.","contributorId":366702,"corporation":false,"usgs":false,"family":"Caudell","given":"Joe","middleInitial":"N.","affiliations":[{"id":55448,"text":"Indiana Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":956155,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Killmaster, Charlie H.","contributorId":366703,"corporation":false,"usgs":false,"family":"Killmaster","given":"Charlie","middleInitial":"H.","affiliations":[{"id":36378,"text":"Georgia Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":956156,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Lockwood, Mitch L.","contributorId":366704,"corporation":false,"usgs":false,"family":"Lockwood","given":"Mitch","middleInitial":"L.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":956157,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"McKinley, William T.","contributorId":366705,"corporation":false,"usgs":false,"family":"McKinley","given":"William","middleInitial":"T.","affiliations":[{"id":78821,"text":"Mississippi Department of Wildlife, Fisheries, and Parks","active":true,"usgs":false}],"preferred":false,"id":956158,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Norton, Andrew S.","contributorId":366706,"corporation":false,"usgs":false,"family":"Norton","given":"Andrew","middleInitial":"S.","affiliations":[{"id":87503,"text":"South Dakota Game, Fish & Parks","active":true,"usgs":false}],"preferred":false,"id":956159,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Schuler, Krysten L.","contributorId":366707,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten","middleInitial":"L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":956160,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Storm, Daniel J.","contributorId":366708,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":956161,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Sumners, Jason A.","contributorId":366709,"corporation":false,"usgs":false,"family":"Sumners","given":"Jason","middleInitial":"A.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":956162,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":956163,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Blanchong, Julie A.","contributorId":6030,"corporation":false,"usgs":false,"family":"Blanchong","given":"Julie","email":"","middleInitial":"A.","affiliations":[{"id":13018,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":956332,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}}
,{"id":70273249,"text":"70273249 - 2026 - Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA","interactions":[],"lastModifiedDate":"2025-12-23T15:04:34.80313","indexId":"70273249","displayToPublicDate":"2025-11-25T08:51:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA","docAbstract":"<p><span>Phosphorus (P) management remains a challenge in agricultural watersheds. The Choptank River Conservation Effects Assessment Project watershed, located in Maryland and Delaware and draining to the Chesapeake Bay, contains legacy soil P from historical dairy and poultry manure applications. These practices elevated soil P beyond crop needs, contributing to persistent P export to aquatic ecosystems. We assessed spatial P distribution and analyzed GIS (Geographic Information Systems)-derived landscape features driving legacy P movement on a farm (47&nbsp;ha). We hypothesized that P accumulates in drained lowlands and depressional areas due to gravity-driven processes that accelerate P-enriched water to receiving waters via overland flow. In collaboration with the US Department of Agriculture Legacy P project, we collected 105 soil samples (0- to 5-cm and 5- to 15-cm depths) and 14 ditch sediment samples across five topographic openness classes from a farm with&nbsp;&gt;100 years of dairy manure application. Average Mehlich-III P concentrations were 218 and 179&nbsp;mg kg</span><sup>−1</sup><span>&nbsp;at 0- to 5-cm and 5- to 15-cm depths, respectively, with legacy areas defined by P content&nbsp;&gt;&nbsp;100&nbsp;mg kg</span><sup>−1</sup><span>. Soil P and clay particle size were positively correlated (</span><i>r</i><span>&nbsp;=&nbsp;0.42,&nbsp;</span><i>p</i><span>&nbsp;&lt;&nbsp;0.05), increased as landscape openness decreased, and were negatively correlated with topographic openness (ranging from −0.2 to −0.4,&nbsp;</span><i>p</i><span>&nbsp;&lt;&nbsp;0.05), indicating accumulation of P and clay in low-lying areas. These patterns suggest that historical field-level managements have primarily shaped P distribution, while hydrologic and landscape properties further influence its redistribution via transport pathways and drainage. These findings support the development of landscape models to map critical source areas in low-relief watersheds and guide targeted mitigation in high-risk P export zones.</span></p>","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/jeq2.70101","usgsCitation":"Foroughi, M., Du, L., Scott, I.P., Hively, W.D., Simpson, Z.P., Smith, Z.J., Hapeman, C.J., Rabenhorst, M.C., Weil, R.R., and McCarty, G.W., 2026, Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA: Journal of Environmental Quality, v. 55, no. 1, e70101, 15 p., https://doi.org/10.1002/jeq2.70101.","productDescription":"e70101, 15 p.","ipdsId":"IP-179707","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":498053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.70101","text":"Publisher Index Page"},{"id":497935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Tuckahoe Creek watershed","volume":"55","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Foroughi, Maryam","contributorId":364546,"corporation":false,"usgs":false,"family":"Foroughi","given":"Maryam","affiliations":[{"id":86840,"text":"University of Maryland (UMD), Department of Environmental Science & Technology, College Park, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Du, Ling","contributorId":224056,"corporation":false,"usgs":false,"family":"Du","given":"Ling","email":"","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":952852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Isis P","contributorId":364547,"corporation":false,"usgs":false,"family":"Scott","given":"Isis","middleInitial":"P","affiliations":[{"id":86842,"text":"Kansas State University, Department of Biological and Agricultural Engineering, Manhattan, Kansas, USA","active":true,"usgs":false}],"preferred":false,"id":952853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simpson, Zachary P. 0000-0001-8075-810X","orcid":"https://orcid.org/0000-0001-8075-810X","contributorId":364548,"corporation":false,"usgs":false,"family":"Simpson","given":"Zachary","middleInitial":"P.","affiliations":[{"id":86843,"text":"U.S. Department of Agriculture, Sustainable Water Management Research Unit, Stoneville, Mississippi, USA","active":true,"usgs":false}],"preferred":false,"id":952855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Zacharias J. 0000-0002-6347-9325","orcid":"https://orcid.org/0000-0002-6347-9325","contributorId":364549,"corporation":false,"usgs":false,"family":"Smith","given":"Zacharias","middleInitial":"J.","affiliations":[{"id":86844,"text":"U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Hydrology and Remote Sensing Laboratory, Beltsville Agricultural Research Center, Beltsville, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hapeman, Cathleen J. 0000-0003-3439-2826","orcid":"https://orcid.org/0000-0003-3439-2826","contributorId":364550,"corporation":false,"usgs":false,"family":"Hapeman","given":"Cathleen","middleInitial":"J.","affiliations":[{"id":86844,"text":"U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Hydrology and Remote Sensing Laboratory, Beltsville Agricultural Research Center, Beltsville, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952857,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rabenhorst, Martin C. 0000-0002-1664-7242","orcid":"https://orcid.org/0000-0002-1664-7242","contributorId":364551,"corporation":false,"usgs":false,"family":"Rabenhorst","given":"Martin","middleInitial":"C.","affiliations":[{"id":86840,"text":"University of Maryland (UMD), Department of Environmental Science & Technology, College Park, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952858,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weil, Raymond R. 0000-0001-9658-7966","orcid":"https://orcid.org/0000-0001-9658-7966","contributorId":364552,"corporation":false,"usgs":false,"family":"Weil","given":"Raymond","middleInitial":"R.","affiliations":[{"id":86840,"text":"University of Maryland (UMD), Department of Environmental Science & Technology, College Park, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952859,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCarty, Greg W.","contributorId":131149,"corporation":false,"usgs":false,"family":"McCarty","given":"Greg","email":"","middleInitial":"W.","affiliations":[{"id":7262,"text":"USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":952860,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70272730,"text":"70272730 - 2026 - Hosts, pathogens and hot ponds: Thermal mean and variability contribute to spatial patterns of chytrid infection","interactions":[],"lastModifiedDate":"2026-02-09T16:13:12.344243","indexId":"70272730","displayToPublicDate":"2025-11-24T08:27:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Hosts, pathogens and hot ponds: Thermal mean and variability contribute to spatial patterns of chytrid infection","docAbstract":"<p><span>Temperature is a primary driver of heterogeneity in host–pathogen dynamics and understanding how patch-scale temperature affects landscape-scale patterns of pathogen infection is key to effective monitoring and management. In field studies, both temperature variability and mean temperature are often related to infection of ectothermic animals by fungal pathogens, and although these factors vary spatiotemporally, their contributions to infection outcomes are rarely decomposed into spatial and temporal components. We studied how patch-scale thermal conditions (mean and variability) affect infection of eastern newts&nbsp;</span><i>Notophthalmus viridescens</i><span>&nbsp;by&nbsp;</span><i>Batrachochytrium dendrobatidis</i><span>&nbsp;(</span><i>Bd</i><span>), with a special focus on disentangling spatial versus temporal contributions of thermal conditions to infection outcomes. We measured in situtemperature and&nbsp;</span><i>Bd</i><span>&nbsp;infection across 20 ponds in two years in southeastern Wisconsin, USA to 1) understand thermal mediation of infection and 2) quantify whether seasonal and/or among-site variation in thermal conditions drive heterogeneity in host–pathogen interactions. In our system, thermal mean and variability covaried tightly, necessitating the creation of a single index to capture both components. We found that 1) this index of thermal mean and variability was strongly and nonlinearly related to&nbsp;</span><i>Bd</i><span>&nbsp;infection and 2) differences among patches in thermal conditions drove this relationship, highlighting that variation in patch-level conditions can drive heterogenous host–pathogen outcomes across landscapes. Our research collectively reveals insights about the importance of local, patch-level conditions for mediating disease risk at broader scales.</span></p>","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/oik.11503","usgsCitation":"Hobart, B.K., Grear, D.A., Winzeler, M., Mcdevitt-Galles, T., Korpita, T.M., Muths, E., and McKenzie, V.J., 2026, Hosts, pathogens and hot ponds: Thermal mean and variability contribute to spatial patterns of chytrid infection: Oikos, v. 2026, no. 2, e11503, 12 p., https://doi.org/10.1002/oik.11503.","productDescription":"e11503, 12 p.","ipdsId":"IP-161965","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":501963,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1WEHHZG","text":"USGS data release","linkHelpText":"Hosts, pathogens, and hot ponds: Thermal variability and heat contribute jointly to spatial patterns of chytrid infection in amphibians in southern Wisconsin, data release"},{"id":497133,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497385,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/oik.11503","text":"Publisher Index Page"}],"country":"United States","state":"Wisconsin","volume":"2026","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hobart, Brendan K","contributorId":363337,"corporation":false,"usgs":false,"family":"Hobart","given":"Brendan","middleInitial":"K","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":951459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":951460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winzeler, Megan 0000-0002-0361-1582 mwinzeler@usgs.gov","orcid":"https://orcid.org/0000-0002-0361-1582","contributorId":196714,"corporation":false,"usgs":true,"family":"Winzeler","given":"Megan","email":"mwinzeler@usgs.gov","affiliations":[],"preferred":true,"id":951461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mcdevitt-Galles, Travis 0000-0002-4929-5431","orcid":"https://orcid.org/0000-0002-4929-5431","contributorId":315374,"corporation":false,"usgs":true,"family":"Mcdevitt-Galles","given":"Travis","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":951462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Korpita, Timothy M","contributorId":363340,"corporation":false,"usgs":false,"family":"Korpita","given":"Timothy","middleInitial":"M","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":951463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":243368,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":951464,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKenzie, Valerie J","contributorId":363341,"corporation":false,"usgs":false,"family":"McKenzie","given":"Valerie","middleInitial":"J","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":951465,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272969,"text":"70272969 - 2026 - How high? Identifying elevation thresholds to guide coastal marsh restoration","interactions":[],"lastModifiedDate":"2026-01-22T16:39:47.867425","indexId":"70272969","displayToPublicDate":"2025-11-24T07:58:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"How high? Identifying elevation thresholds to guide coastal marsh restoration","docAbstract":"<p>Introduction</p><p><span>Coastal marshes are highly valuable ecosystems facing threats from rising sea levels and intensifying storm events. To elevate marsh surfaces and prevent loss of ecosystem services, the beneficial use of dredged material (BUDM) is increasingly being implemented across the United States.</span></p><p><span>Objectives</span></p><p><span>The objective of this study was to aid decision-makers and restoration practitioners by identifying elevation thresholds that control the optimal function of&nbsp;<i>Spartina patens</i>-dominated marshes along the Texas Coast.</span></p><p><span>Methods</span></p><p><span>This study was conducted in the coastal marshes of the J.D. Murphree Wildlife Management Area (Texas). We collected elevation and vegetation cover data along ecological transition zones in marshes nourished with BUDM to identify elevation thresholds that define zones of optimal plant survivorship and growth.</span></p><p><span>Results</span></p><p><span>We identified lower (−0.05 m mean high water, MHW) and upper (0.26 m MHW) elevation thresholds that defined transitions to open water and unvegetated bare ground, respectively. Elevation targets (<i>T</i>) and elevation target zones, which defined areas with the greatest vegetation cover, were determined for&nbsp;<i>S. patens</i>&nbsp;(<i>T</i>: 0.11 m, target zone: −0.06 to 0.26 m MHW),&nbsp;<i>S. alterniflora</i>&nbsp;(<i>T</i>: 0.00 m, target zone: −0.12 to 0.10 m MHW), and&nbsp;<i>Distichlis spicata</i>&nbsp;(<i>T</i>: 0.17 m, target zone: 0.07–0.25 m MHW).</span></p><p><span>Conclusions</span></p><p><span>Our analyses provide species-specific elevation targets for coastal marsh restoration through BUDM, which can improve restoration outcomes for coastal wetlands.</span></p>","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.70232","usgsCitation":"Fromenthal, E.N., Stagg, C.L., Moon, J.A., Abshier, T., Alawneh, O., Cadigan, J.A., Gallegos, D.A., Harris, B.D., Hurst, N.R., Jafari, N.H., Merendino, T., Nelson, M.R., Osland, M.J., Pauling, P., Rezsutek, M., Sanspree, C.R., and Villani, R.K., 2026, How high? Identifying elevation thresholds to guide coastal marsh restoration: Restoration Ecology, v. 34, no. 1, e70232, 11 p., https://doi.org/10.1111/rec.70232.","productDescription":"e70232, 11 p.","ipdsId":"IP-176516","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497382,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.70232","text":"Publisher Index Page"},{"id":497323,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"J.D. Murphree Wildlife Management Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.16372427589603,\n              29.864573785630768\n            ],\n            [\n              -95.16372427589603,\n              29.388146335695794\n            ],\n            [\n              -94.43439840716935,\n              29.388146335695794\n            ],\n            [\n              -94.43439840716935,\n              29.864573785630768\n            ],\n            [\n              -95.16372427589603,\n              29.864573785630768\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Fromenthal, Emily N. 0009-0007-6043-7537","orcid":"https://orcid.org/0009-0007-6043-7537","contributorId":334303,"corporation":false,"usgs":false,"family":"Fromenthal","given":"Emily","middleInitial":"N.","affiliations":[{"id":80112,"text":"Cherokee Nationa System Solutions contractor in support of U.S. Geological Survey, Wetland and Aquatic Research Center","active":true,"usgs":false}],"preferred":false,"id":951925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stagg, Camille L. 0000-0002-1125-7253","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":214497,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":951926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moon, Jena A. 0000-0001-5141-2281","orcid":"https://orcid.org/0000-0001-5141-2281","contributorId":360893,"corporation":false,"usgs":false,"family":"Moon","given":"Jena","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abshier, Taylor","contributorId":363747,"corporation":false,"usgs":false,"family":"Abshier","given":"Taylor","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":951928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alawneh, Omar","contributorId":363748,"corporation":false,"usgs":false,"family":"Alawneh","given":"Omar","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":951929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cadigan, Jack A. 0000-0002-1200-8275","orcid":"https://orcid.org/0000-0002-1200-8275","contributorId":296178,"corporation":false,"usgs":false,"family":"Cadigan","given":"Jack","email":"","middleInitial":"A.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":951930,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gallegos, Daniel A. 0009-0004-5253-8694","orcid":"https://orcid.org/0009-0004-5253-8694","contributorId":363749,"corporation":false,"usgs":false,"family":"Gallegos","given":"Daniel","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":951931,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harris, Brian D. 0000-0001-5771-1880","orcid":"https://orcid.org/0000-0001-5771-1880","contributorId":296180,"corporation":false,"usgs":false,"family":"Harris","given":"Brian","email":"","middleInitial":"D.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":951932,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hurst, Nia R. 0000-0002-9238-8502","orcid":"https://orcid.org/0000-0002-9238-8502","contributorId":363750,"corporation":false,"usgs":false,"family":"Hurst","given":"Nia","middleInitial":"R.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":951933,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jafari, Navid H. 0000-0002-4394-3776","orcid":"https://orcid.org/0000-0002-4394-3776","contributorId":363751,"corporation":false,"usgs":false,"family":"Jafari","given":"Navid","middleInitial":"H.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":951934,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Merendino, Todd","contributorId":363752,"corporation":false,"usgs":false,"family":"Merendino","given":"Todd","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":951935,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nelson, Matthew R.","contributorId":166943,"corporation":false,"usgs":false,"family":"Nelson","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":24577,"text":"University of Minnesota, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":951936,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Osland, Michael J. 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":213400,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":951937,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pauling, Philip","contributorId":363754,"corporation":false,"usgs":false,"family":"Pauling","given":"Philip","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":951938,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rezsutek, Michael","contributorId":363756,"corporation":false,"usgs":false,"family":"Rezsutek","given":"Michael","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":951939,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sanspree, Colt R. 0000-0001-9794-5008","orcid":"https://orcid.org/0000-0001-9794-5008","contributorId":360902,"corporation":false,"usgs":false,"family":"Sanspree","given":"Colt","middleInitial":"R.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951940,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Villani, Rachel Katherine 0000-0002-8494-8178","orcid":"https://orcid.org/0000-0002-8494-8178","contributorId":290308,"corporation":false,"usgs":true,"family":"Villani","given":"Rachel","email":"","middleInitial":"Katherine","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":951941,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70275030,"text":"70275030 - 2026 - Land cover, elevation, and precipitation predict distribution and hotspots of three bird species of concern in boreal Alaska","interactions":[],"lastModifiedDate":"2026-04-13T14:53:18.323215","indexId":"70275030","displayToPublicDate":"2025-11-21T09:44:09","publicationYear":"2026","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":"Land cover, elevation, and precipitation predict distribution and hotspots of three bird species of concern in boreal Alaska","docAbstract":"<p><span>The boreal forest biome is an important breeding area for migratory birds and is undergoing rapid changes, including drying of wetlands, changes to vegetation composition, and human development. Many boreal bird populations are declining, but information is often lacking on how these species associate with habitat characteristics and thus how they may respond to changing conditions. We used a large point-count dataset to describe habitat associations and hotspots for three boreal species of concern in Alaska, USA:&nbsp;</span><i>Tringa flavipes</i><span>&nbsp;(Lesser Yellowlegs),&nbsp;</span><i>Contopus cooperi</i><span>&nbsp;(Olive-sided Flycatcher), and&nbsp;</span><i>Euphagus carolinus</i><span>&nbsp;(Rusty Blackbird). We used an N-mixture model to evaluate covariates of abundance and two components of detection (availability and perceptibility). We then used the estimated relationships with covariates to predict density of each species across the Northwestern Interior Forest (Bird Conservation Region 4) in Alaska, including identifying hotspots where density was predicted to be in the top 10% of all locations.&nbsp;</span><i>T. flavipes</i><span>&nbsp;and&nbsp;</span><i>E. carolinus</i><span>&nbsp;were associated with wetlands and mean values of June precipitation;&nbsp;</span><i>T. flavipes</i><span>&nbsp;were also associated with low elevation and recent fire; and&nbsp;</span><i>C. cooperi</i><span>&nbsp;was associated with needleleaf forest and moderate elevation. Hotspots for&nbsp;</span><i>T. flavipes</i><span>&nbsp;and&nbsp;</span><i>E. carolinus</i><span>&nbsp;usually overlapped, while hotspots for&nbsp;</span><i>C. cooperi</i><span>&nbsp;almost never overlapped with those of the other two species. Following ground-truthing, these predicted distributions could be used to indicate areas of high importance for species of conservation concern and thus inform management decisions and mitigation measures. Our results could also help identify areas that are likely to be important for these species in the future, given the rapid changes now occurring across the boreal biome in response to climate warming and drying.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf072","usgsCitation":"Weiser, E.L., Christie, K., Burns, C.T., Hagelin, J.C., Matsuoka, S.M., Johnson, J.A., and Handel, C.M., 2026, Land cover, elevation, and precipitation predict distribution and hotspots of three bird species of concern in boreal Alaska: Ornithological Applications, v. 128, no. 1, p. 1-14, https://doi.org/10.1093/ornithapp/duaf072.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-173816","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":504063,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1A9HM4R","text":"USGS data release","linkHelpText":"R scripts to run model of bird density and habitat associations"},{"id":502996,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duaf072","text":"Publisher Index Page"},{"id":502742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -151.1832172747073,\n              59.13365735004231\n            ],\n            [\n              -147.31692125943155,\n              59.58285918598074\n            ],\n            [\n              -144.5504762366018,\n              59.98787477154784\n            ],\n            [\n              -140.98899437078293,\n              60.56824776252196\n            ],\n            [\n              -140.97836768707944,\n              68.7876537335149\n            ],\n            [\n              -163.90405087591324,\n              67.79343524918025\n            ],\n            [\n              -162.87185288557635,\n              66.98967164182704\n            ],\n            [\n              -159.64110532284926,\n              66.37323884592763\n            ],\n            [\n              -160.51454911606677,\n              65.3848210134932\n            ],\n            [\n              -163.66272432299337,\n              64.88616256748963\n            ],\n            [\n              -162.92957746110244,\n              64.45699993046611\n            ],\n            [\n              -160.98494728134088,\n              64.64573400264587\n            ],\n            [\n              -161.77397727382123,\n              62.99858790802136\n            ],\n            [\n              -162.67435323548557,\n              61.13769370355496\n            ],\n            [\n              -154.66690245504697,\n              59.222937126775605\n            ],\n            [\n              -151.1832172747073,\n              59.13365735004231\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"128","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiser, Emily L. 0000-0003-1598-659X","orcid":"https://orcid.org/0000-0003-1598-659X","contributorId":213770,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":959264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christie, Katherine","contributorId":340821,"corporation":false,"usgs":false,"family":"Christie","given":"Katherine","affiliations":[{"id":81671,"text":"Alaska Department of Fish and Game, Threatened","active":true,"usgs":false}],"preferred":false,"id":959265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, Casey T.","contributorId":244656,"corporation":false,"usgs":false,"family":"Burns","given":"Casey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":959266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagelin, Julie C 0000-0002-0434-6936","orcid":"https://orcid.org/0000-0002-0434-6936","contributorId":270470,"corporation":false,"usgs":false,"family":"Hagelin","given":"Julie","email":"","middleInitial":"C","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":959267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matsuoka, Steven M. 0000-0001-6415-1885 smatsuoka@usgs.gov","orcid":"https://orcid.org/0000-0001-6415-1885","contributorId":184173,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Steven","email":"smatsuoka@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":959268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, James A. 0000-0002-2312-0633","orcid":"https://orcid.org/0000-0002-2312-0633","contributorId":299054,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":959269,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":959270,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272698,"text":"70272698 - 2026 - Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system","interactions":[],"lastModifiedDate":"2026-05-19T15:27:56.818086","indexId":"70272698","displayToPublicDate":"2025-11-21T09:23:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system","docAbstract":"<p><span>he Hayward, Calaveras, and Rodgers Creek faults in the San Francisco Bay region of California have a high probability of producing a large earthquake in the next decades. Although these faults creep, the creep is insufficient to keep up with their relatively rapid slip rates on their deepest sections, so they have been storing tectonic strain since their last large earthquakes, with the Hayward’s and Rodgers Creek’s more than 150&nbsp;yr ago. We do not know what the next large Hayward–Calaveras–Rodgers Creek earthquakes will look like or how strongly they will shake the San Francisco Bay region.&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf18\">Harris<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2021)</a><span>&nbsp;used the 3D dynamic (spontaneous) rupture method to simulate large earthquakes on these creeping faults. In this article, we examine the resulting simulated long‐period (</span><i>T</i><span>&nbsp;&gt; 1&nbsp;s) ground shaking from 0 to 50&nbsp;km distance, for earthquakes nucleating on the Hayward fault and earthquakes nucleating on the Rodgers Creek fault. We compare these simulated long‐period ground motions with the&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf8\">Boore<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2014)</a><span>&nbsp;well‐established empirically based ground‐motion model suitable for the slowest material velocity in our 3D velocity structure. We find that the simulated long‐period ground motions from the creeping‐fault earthquake scenarios produce a reasonable agreement with the empirical expectations if frictional cohesion is included only where it is appropriate.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250194","usgsCitation":"Harris, R.A., Barall, M., Parker, G.A., and Hirakawa, E.T., 2026, Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system: Seismological Research Letters, v. 97, no. 3, p. 2050-2063, https://doi.org/10.1785/0220250194.","productDescription":"14 p.","startPage":"2050","endPage":"2063","ipdsId":"IP-170265","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":497053,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497108,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250194","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"Hayward, Calaveras, and Rodgers Creek faults, San Francisco Bay region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124,\n              39\n            ],\n            [\n              -124,\n              36\n            ],\n            [\n              -120,\n              36\n            ],\n            [\n              -120,\n              39\n            ],\n            [\n              -124,\n              39\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"97","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hirakawa, Evan Tyler 0000-0002-5720-0850","orcid":"https://orcid.org/0000-0002-5720-0850","contributorId":295776,"corporation":false,"usgs":true,"family":"Hirakawa","given":"Evan","email":"","middleInitial":"Tyler","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951361,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272656,"text":"70272656 - 2026 - Bioclimatic, demographic, and anthropogenic correlates of grizzly bear activity patterns in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2026-04-20T15:46:00.314968","indexId":"70272656","displayToPublicDate":"2025-11-20T10:03:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Bioclimatic, demographic, and anthropogenic correlates of grizzly bear activity patterns in the Greater Yellowstone Ecosystem","docAbstract":"<p><span>Plasticity of diel activity rhythms may be a key element for adaptations of wildlife populations to changing environmental conditions. In the last decades, grizzly bears&nbsp;</span><i>Ursus arctos</i><span>&nbsp;in the Greater Yellowstone Ecosystem (GYE) have experienced notable environmental fluctuations, including changes in availability of food sources and severe droughts. Although substantial research has been conducted on grizzly bear diets, space use, and demographic parameters, studies on factors that may influence their diel activity patterns are lacking. We investigated diel activity of grizzly bears in the GYE as a function of anthropogenic landscape modification, maximum daily ambient temperature, drought severity, and bear density. Specifically, we used accelerometry readings of 169 bears (39 females, 130 males) from 2009 to 2022 to compute three complementary activity measures, hourly intensity of activity, daily active minutes, and active bout length, each used as a response variable within a Bayesian modeling framework. Grizzly bears generally exhibited bimodal diel activity, with crepuscular peaks and slight variations across seasons. Females with young (i.e. cubs or yearlings) were an exception, with more pronounced diurnal activity patterns, possibly as a strategy to avoid infanticide by dominant males. Landscape modification and maximum ambient temperature were the factors most strongly associated with activity patterns of grizzly bears, with greater nocturnality observed in lone females and males as these factors increased. Females with young were comparatively less affected. The GYE is changing because of increasing land development, human recreation pressures, and effects of climate change. Given their greater diurnal activity compared with other cohorts, female grizzly bears with dependent offspring may be more constrained in their ability to modify activity patterns. Our findings add to a growing body of research emphasizing the importance of the temporal dimension of wildlife behavior as a critical factor in assessing species adaptability and vulnerability in a changing world.</span></p>","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/oik.11851","usgsCitation":"Donatelli, A., Haroldson, M., Clapp, J.G., Ciucci, P., and van Manen, F.T., 2026, Bioclimatic, demographic, and anthropogenic correlates of grizzly bear activity patterns in the Greater Yellowstone Ecosystem: Oikos, v. 2026, no. 4, e11851, 15 p., https://doi.org/10.1002/oik.11851.","productDescription":"e11851, 15 p.","ipdsId":"IP-179581","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":497083,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/oik.11851","text":"Publisher Index Page"},{"id":496987,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.3187629306571,\n              45.33972157168918\n         ],\n            [\n              -112.3187629306571,\n              42.05504689696562\n            ],\n            [\n              -108.71329990703327,\n              42.05504689696562\n            ],\n            [\n              -108.71329990703327,\n              45.33972157168918\n            ],\n            [\n              -112.3187629306571,\n              45.33972157168918\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2026","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Donatelli, A.","contributorId":358394,"corporation":false,"usgs":false,"family":"Donatelli","given":"A.","affiliations":[{"id":81866,"text":"University of Rome La Sapienza","active":true,"usgs":false}],"preferred":false,"id":951221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haroldson, Mark 0000-0002-7457-7676","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":316737,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clapp, Justin G.","contributorId":363181,"corporation":false,"usgs":false,"family":"Clapp","given":"Justin","middleInitial":"G.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":951223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ciucci, P.","contributorId":358405,"corporation":false,"usgs":false,"family":"Ciucci","given":"P.","affiliations":[{"id":81866,"text":"University of Rome La Sapienza","active":true,"usgs":false}],"preferred":false,"id":951224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951225,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}