{"pageNumber":"6","pageRowStart":"125","pageSize":"25","recordCount":4111,"records":[{"id":70266046,"text":"70266046 - 2025 - Movements and habitat use of Silver Carp in the Arkansas and White rivers","interactions":[],"lastModifiedDate":"2025-04-24T14:57:58.143549","indexId":"70266046","displayToPublicDate":"2025-03-13T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Movements and habitat use of Silver Carp in the Arkansas and White rivers","docAbstract":"<p><span>Silver Carp&nbsp;</span><i>Hypophthalmichthys molitrix</i><span>&nbsp;is an invasive species found throughout the Mississippi River basin. Efforts have been made to control Silver Carp populations through removal programs and movement barrier implementation. Up to date information on diel, seasonal, and annual movements and habitat use by Silver Carp will benefit these efforts. Studies of Silver Carp movement are prevalent in the upper Mississippi River, Ohio River, and tributaries, but rare in tributaries of the lower Mississippi River. Between June 2021 and May 2022, we quantified average movement rates and residency periods of 48 Silver Carp in the free-flowing lower White River and lock-and-dam fragmented lower Arkansas River using passive acoustic telemetry arrays and internal implant acoustic transmitters. We also manually tracked Silver Carp in the two rivers during the four seasons to estimate diel movement rates and use of different habitats. On an annual scale, Silver Carp in the White River moved at faster rates than Silver Carp in the Arkansas River and were recorded more times by acoustic receivers. Diel movement rates varied by season in both rivers but were low overall. Silver Carp used lentic habitats more often than lotic habitats. Overall, results suggest the numerous locks and dams of the McClellan-Kerr Arkansas River Navigation System may limit large-scale, annual movement of Silver Carp in the Arkansas River compared to the White River. Low hourly diel movement rates and high occupancy of lentic habitats also should enable effective harvest of Silver Carp using active gears in those lentic habitats.</span></p>","language":"English","publisher":"Allen Press","doi":"10.3996/jfwm-23-066","usgsCitation":"Althoff, A., Kindschuh, J., Lochmann, S., Owens, D., Spurgeon, J.J., and Stevens, J., 2025, Movements and habitat use of Silver Carp in the Arkansas and White rivers: Journal of Fish and Wildlife Management, v. 15, no. 2, p. 493-509, https://doi.org/10.3996/jfwm-23-066.","productDescription":"17 p.","startPage":"493","endPage":"509","ipdsId":"IP-155044","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":490100,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-23-066","text":"Publisher Index Page"},{"id":484978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Arkansas River, White 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 \"}}]}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Althoff, Andrew L.","contributorId":353739,"corporation":false,"usgs":false,"family":"Althoff","given":"Andrew L.","affiliations":[{"id":81661,"text":"University of Arkansas at Pine Bluff","active":true,"usgs":false}],"preferred":false,"id":934446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kindschuh, Jamie L.","contributorId":353742,"corporation":false,"usgs":false,"family":"Kindschuh","given":"Jamie L.","affiliations":[{"id":81661,"text":"University of Arkansas at Pine Bluff","active":true,"usgs":false}],"preferred":false,"id":934447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lochmann, Steve E.","contributorId":353745,"corporation":false,"usgs":false,"family":"Lochmann","given":"Steve E.","affiliations":[{"id":81661,"text":"University of Arkansas at Pine Bluff","active":true,"usgs":false}],"preferred":false,"id":934448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Owens, Derek K.","contributorId":353748,"corporation":false,"usgs":false,"family":"Owens","given":"Derek K.","affiliations":[{"id":81661,"text":"University of Arkansas at Pine Bluff","active":true,"usgs":false}],"preferred":false,"id":934449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934450,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stevens, Jeffery N.","contributorId":353752,"corporation":false,"usgs":false,"family":"Stevens","given":"Jeffery N.","affiliations":[{"id":81661,"text":"University of Arkansas at Pine Bluff","active":true,"usgs":false}],"preferred":false,"id":934451,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263872,"text":"dr1208 - 2025 - Bedrock fracture characterization of the New Hampshire State Route 111 bypass, Windham, New Hampshire","interactions":[],"lastModifiedDate":"2025-07-21T18:31:25.600058","indexId":"dr1208","displayToPublicDate":"2025-03-03T09:20:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1208","displayTitle":"Bedrock Fracture Characterization of the New Hampshire State Route 111 Bypass, Windham, New Hampshire","title":"Bedrock fracture characterization of the New Hampshire State Route 111 bypass, Windham, New Hampshire","docAbstract":"<p>Bedrock roadcuts developed with blasting along the New Hampshire State Route 111 bypass in Windham expose the metasedimentary Silurian Berwick Formation and intrusions of multiple phases of foliated to nonfoliated granite to granitic pegmatite of the Devonian New Hampshire Plutonic Suite. Fracture characterization at two roadway rock cuts (roadcuts) included measurement of fractures over a distance of approximately 225 and 85 meters. The Berwick Formation consists of medium-gray biotite-plagioclase-quartz granofels, biotite schist, and lesser calc-silicate rock. The Berwick Formation is locally sulfidic. Fresh, unweathered roadcuts are mostly gray but exhibit locally rusty weathering. The most conspicuous foliation in the region around the studied roadcuts is steeply northwest dipping to subvertical and northeast-southwest striking. Regionally, the strike of the foliation is consistently to the northeast-southwest, but the dip is locally variable to both the southeast and northwest. About 8 percent of the observed foliation surfaces exhibit limited fracture parting. The limited degree of parting agrees with observations for rocks within the garnet zone of metamorphism elsewhere in the Windham 7.5-minute quadrangle. The most prominent fracture trend is subvertical to steeply northeast-dipping and northwest-southeast striking (strike and dip of about 295°, 80°). The peak trend of steeply dipping fractures at the two exposures is 295°±12° and 289°±6°. Veins observed in the granite occur parallel to the peak fracture trend and consist primarily of quartz, tourmaline, and ankerite with minor amounts of sulfides (arsenopyrite, galena, and rare sphalerite), and trace amounts of apatite and rutile. The observed peak fracture trend at these roadcuts closely agrees with the most prominent fracture trend recognized within the Windham quadrangle. Gently south- to southeast-dipping and east- to northeast-striking fractures occur as joints and as parting fractures along a weak S<sub>3</sub> cleavage. Water-bearing fractures at one exposure occur along joints and gently dipping contacts between the Berwick Formation and the granite to granitic pegmatite of the New Hampshire Plutonic Suite. About 8 percent of the fractures are water-bearing and most water-bearing fractures are gently dipping to the southeast. Fracture data separated by rock type shows a similar distribution for steeply dipping northwest-striking trends, but with much fewer observed steeply north-dipping fractures in the granitic rocks. Both rock types show a cluster of gently south-dipping fractures. The granites show far fewer steeply dipping northeast-striking fractures, which reflects a greater degree of parting along the foliation in the metasedimentary rocks than in the granites. No foliation-parallel fractures were observed in the granites, but some contacts between granites and the Berwick Formation do exhibit parting. Fracture termination classification yields 3 percent abutting, 76 percent dead end, and 21 percent crossing (or throughgoing) fractures.</p><p>Six brittle faults were observed, which strike northeast and most dip steeply to the northwest. Calculated paleostress tensors for the faults show an average stress field that is consistent with Late Triassic to Early Jurassic northwest-southeast extension associated with rifting of the New England crust during the initial opening of the Atlantic Basin. Fault data are consistent with brittle reactivation of the northeast striking and northwest dipping dominant foliation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1208","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Walsh, G.J., and Powell, N.E., 2025, Bedrock fracture characterization of the New Hampshire State Route 111 bypass, Windham, New Hampshire: U.S. Geological Survey Data Report 1208, 12 p., https://doi.org/10.3133/dr1208.","productDescription":"Report: vi, 12 p.; Data Release","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-173004","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":492694,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118460.htm","linkFileType":{"id":5,"text":"html"}},{"id":482525,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1208/images/"},{"id":482521,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1208/coverthb.jpg"},{"id":482522,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1208/dr1208.pdf","text":"Report","size":"14.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1208 PDF"},{"id":482524,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1208/dr1208.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1208 XML"},{"id":482526,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14A6TJY","text":"USGS data release","linkHelpText":"Fracture data collected at the Route 111 bypass in Windham, New Hampshire"},{"id":482523,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1208/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1208 HTML"}],"country":"United States","state":"New Hampshire","city":"Windham","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.3065034148442,\n              42.818705377139935\n            ],\n            [\n              -71.3065034148442,\n              42.7840391932281\n            ],\n            [\n              -71.26391433086863,\n              42.7840391932281\n            ],\n            [\n              -71.26391433086863,\n              42.818705377139935\n            ],\n            [\n              -71.3065034148442,\n              42.818705377139935\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/florence-bascom-geoscience-center\" data-mce-href=\"https://www.usgs.gov/centers/florence-bascom-geoscience-center\">Florence Bascom Geoscience Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, MS 926A<br>Reston, VA 20192</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Results</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-03-03","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":265307,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":928780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Nicholas Edwin 0000-0003-3654-8759","orcid":"https://orcid.org/0000-0003-3654-8759","contributorId":304622,"corporation":false,"usgs":true,"family":"Powell","given":"Nicholas","email":"","middleInitial":"Edwin","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":928781,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263941,"text":"70263941 - 2025 - Characterizing pyrethroid and fipronil concentrations in biosolids","interactions":[],"lastModifiedDate":"2025-03-03T15:06:16.51444","indexId":"70263941","displayToPublicDate":"2025-02-28T09:03:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing pyrethroid and fipronil concentrations in biosolids","docAbstract":"<p><span>Pesticides are prevalent in wastewater, yet few studies have measured pesticides in biosolids and aqueous media from samples collected concurrently. Seventeen California wastewater treatment plants (WWTPs) were sampled in May 2020. Biosolids samples were analyzed for 27 analytes, and paired aqueous samples (influent and effluent) were analyzed for 23 analytes. Analytes included fipronil and its transformation products (fiproles), pyrethroids, novaluron, and several other pesticides with down-the-drain transport potential. Of the 27 compounds analyzed in biosolids samples, 16 were detected in at least one sample, and 10 had a detection frequency (DF) of at least 25&nbsp;%. Fipronil sulfone, fipronil sulfide, and fipronil were the most frequently detected fiproles (DF&nbsp;=&nbsp;100&nbsp;%, 94&nbsp;%, and 67&nbsp;%, respectively); permethrin was the most frequently detected pyrethroid (DF&nbsp;=&nbsp;100&nbsp;%), followed by bifenthrin (DF&nbsp;=&nbsp;94&nbsp;%), cyhalothrin (DF&nbsp;=&nbsp;89&nbsp;%), and etofenprox (DF&nbsp;=&nbsp;78&nbsp;%). To elucidate fipronil transformation pathways within the treatment system, data from the three sample types were compared; findings were generally consistent with transformation pathways reported previously (e.g., some fiproles were rarely detected in influent or biosolids, but frequently detected in effluent, indicating their formation during the treatment process). No correlations were found between WWTP characteristics and pesticide concentrations in biosolids. The fraction of organic carbon (</span><i>f</i><sub><i>OC</i></sub><span>) of each biosolids sample was measured, and a statistically significant negative correlation was observed between&nbsp;</span><i>f</i><sub><i>OC</i></sub><span>&nbsp;and some fiproles, but not fipronil; possible explanations are discussed. Additional analysis for two major agricultural pesticides (bifenthrin and permethrin) indicated that estimated mass loads of these pesticides in biosolids applied to land as a soil amendment are minimal (approximately 2 to 3 orders of magnitude lower) compared to inputs from agricultural applications. This study provides insight on the magnitude of pesticides entering the environment via land-applied biosolids; existing regulations surrounding agricultural pesticide applications are expected to also be protective of the relatively low inputs from biosolids.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.178954","usgsCitation":"Wheeler, J., Black, G.P., Hladik, M.L., Sanders, C., Teerlink, J., Wong, L., Zhang, X., Budd, R., and Young, T.M., 2025, Characterizing pyrethroid and fipronil concentrations in biosolids: Science of the Total Environment, v. 969, 178954, 11 p., https://doi.org/10.1016/j.scitotenv.2025.178954.","productDescription":"178954, 11 p.","ipdsId":"IP-171403","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":489969,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.178954","text":"Publisher Index Page"},{"id":482735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"969","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wheeler, John","contributorId":351645,"corporation":false,"usgs":false,"family":"Wheeler","given":"John","affiliations":[{"id":40320,"text":"California Department of Pesticide Regulation","active":true,"usgs":false}],"preferred":false,"id":929202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Black, Gabrielle Pecora 0000-0002-1578-742X","orcid":"https://orcid.org/0000-0002-1578-742X","contributorId":303108,"corporation":false,"usgs":true,"family":"Black","given":"Gabrielle","email":"","middleInitial":"Pecora","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanders, Corey 0000-0001-7743-6396","orcid":"https://orcid.org/0000-0001-7743-6396","contributorId":204711,"corporation":false,"usgs":true,"family":"Sanders","given":"Corey","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teerlink, Jennifer","contributorId":297910,"corporation":false,"usgs":false,"family":"Teerlink","given":"Jennifer","email":"","affiliations":[{"id":40320,"text":"California Department of Pesticide Regulation","active":true,"usgs":false}],"preferred":false,"id":929206,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wong, Luann","contributorId":313578,"corporation":false,"usgs":false,"family":"Wong","given":"Luann","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":929207,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Xuyang","contributorId":351647,"corporation":false,"usgs":false,"family":"Zhang","given":"Xuyang","affiliations":[{"id":40320,"text":"California Department of Pesticide Regulation","active":true,"usgs":false}],"preferred":false,"id":929208,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Budd, Robert","contributorId":351742,"corporation":false,"usgs":false,"family":"Budd","given":"Robert","affiliations":[],"preferred":false,"id":929209,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Young, Thomas M","contributorId":221103,"corporation":false,"usgs":false,"family":"Young","given":"Thomas","email":"","middleInitial":"M","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":929210,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70263959,"text":"70263959 - 2025 - Migration of seismicity from the mantle to the upper crust beneath Harrat Lunayyir volcanic field, Saudi Arabia","interactions":[],"lastModifiedDate":"2025-03-03T15:18:28.298036","indexId":"70263959","displayToPublicDate":"2025-02-27T09:10:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17454,"text":"Seismica","active":true,"publicationSubtype":{"id":10}},"title":"Migration of seismicity from the mantle to the upper crust beneath Harrat Lunayyir volcanic field, Saudi Arabia","docAbstract":"<p><span>Harrat Lunayyir is a volcanic field in Saudi Arabia that experienced a Mw~5.4 earthquake driven by an upper-crustal dike intrusion in May 2009. This volcanic field has exhibited numerous forms of volcanic seismicity both prior to and since the 2009 dike intrusion. Significantly, earthquakes within the lithospheric mantle and, rarely, the lower crust are present in the two-decade long seismicity catalog of Harrat Lunayyir. Here we analyze 24 years of volcanic seismicity at Harrat Lunayyir from 1998 to 2022. We find that: 1) precursory seismicity began at least eight years prior to the 2009 event, with a particularly notable seismic episode one year prior; 2) lithospheric mantle seismicity is highly localized in space and in time, largely occurring in discrete sequences lasting on the order of a few hours to a few days; 3) one seismic sequence clearly migrates upward from the lithospheric mantle to the upper crust, including seismicity within the nominally ductile lower crust; 4) crustal seismicity has been slowly declining over time; and 5) lithospheric-mantle seismicity does not show any apparent decline with time. From these observations we infer that the seismicity is driven by magmatic fluids or volatiles, and seismic monitoring of this volcanic field should continue into the future.</span></p>","language":"English","publisher":"McGill Libraries","doi":"10.26443/seismica.v4i1.1148","usgsCitation":"Blanchette, A., Klemperer, S.L., Mooney, W.D., and Sehli, T., 2025, Migration of seismicity from the mantle to the upper crust beneath Harrat Lunayyir volcanic field, Saudi Arabia: Seismica, v. 4, no. 1, 1148, 17 p., https://doi.org/10.26443/seismica.v4i1.1148.","productDescription":"1148, 17 p.","ipdsId":"IP-159418","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v4i1.1148","text":"Publisher Index Page"},{"id":482737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Saudi Arabia","otherGeospatial":"Harrat Lunayyir volcanic field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              37,\n              25.6\n            ],\n            [\n              37,\n              24.7\n            ],\n            [\n              38.25,\n              24.7\n            ],\n            [\n              38.25,\n              25.6\n            ],\n            [\n              37,\n              25.6\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Blanchette, Alexander R.","contributorId":329986,"corporation":false,"usgs":false,"family":"Blanchette","given":"Alexander R.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":929350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klemperer, Simon L.","contributorId":106929,"corporation":false,"usgs":true,"family":"Klemperer","given":"Simon","email":"","middleInitial":"L.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":929351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mooney, Walter D. 0000-0002-5310-3631 mooney@usgs.gov","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":3194,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","email":"mooney@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":929352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sehli, Turki A.","contributorId":351738,"corporation":false,"usgs":false,"family":"Sehli","given":"Turki A.","affiliations":[{"id":36695,"text":"Saudi Geological Survey","active":true,"usgs":false}],"preferred":false,"id":929353,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264699,"text":"70264699 - 2025 - Reviews and syntheses: Variable inundation across Earth's terrestrial ecosystems","interactions":[],"lastModifiedDate":"2025-03-20T14:50:08.933728","indexId":"70264699","displayToPublicDate":"2025-02-24T09:42:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Reviews and syntheses: Variable inundation across Earth's terrestrial ecosystems","docAbstract":"<p><span>The structure, function, and dynamics of Earth's terrestrial ecosystems are profoundly influenced by how often (frequency) and how long (duration) they are inundated with water. A diverse array of natural and human-engineered systems experience temporally variable inundation whereby they fluctuate between inundated and non-inundated states. Variable inundation spans extreme events to predictable sub-daily cycles. Variably inundated ecosystems (VIEs) include hillslopes, non-perennial streams, wetlands, floodplains, temporary ponds, tidal systems, storm-impacted coastal zones, and human-engineered systems. VIEs are diverse in terms of inundation regimes, water chemistry and flow velocity, soil and sediment properties, vegetation, and many other properties. The spatial and temporal scales of variable inundation are vast, ranging from sub-meter to whole landscapes and from sub-hourly to multi-decadal. The broad range of system types and scales makes it challenging to predict the hydrology, biogeochemistry, ecology, and physical evolution of VIEs. Despite all experiencing the loss and gain of an overlying water column, VIEs are rarely considered together in conceptual, theoretical, modeling, or measurement frameworks and approaches. Studying VIEs together has the potential to generate mechanistic understanding that is transferable across a much broader range of environmental conditions, relative to knowledge generated by studying any one VIE type. We postulate that enhanced transferability will be important for predicting changes in VIE function in response to global change. Here we aim to catalyze cross-VIE science that studies drivers and impacts of variable inundation across Earth's VIEs. To this end, we complement expert mini-reviews of eight major VIE systems with overviews of VIE-relevant methods and challenges associated with scale. We conclude with perspectives on how cross-VIE science can derive transferable understanding via unifying conceptual models in which the impacts of variable inundation are studied across multi-dimensional environmental space.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-22-995-2025","usgsCitation":"Stegen, J., Burgin, A.J., Busch, M., Fisher, J.B., Ladau, J., Abrahamson, J., Kinsman-Costello, L., Li, L., Chen, X., Datry, T., McDowell, N., Tatariw, C., Braswell, A., Deines, J.M., Guimond, J., Regier, P., Rod, K., Bam, E., Fluet-Chouinard, E., Forbrich, I., Jaeger, K.L., O'Meara, T., Scheibe, T.D., Seybold, E., Sweetman, J.N., Zheng, J., Allen, D.C., Herndon, E., Middleton, B., Painter, S., Roche, K., Scamardo, J., Vander Vorste, R., Boye, K., Wohl, E., Zimmer, M., Hondula, K., Laan, M., Marshall, A., and Patel, K., 2025, Reviews and syntheses: Variable inundation across Earth's terrestrial ecosystems: Biogeosciences, v. 22, no. 4, p. 995-1034, https://doi.org/10.5194/bg-22-995-2025.","productDescription":"30 p.","startPage":"995","endPage":"1034","ipdsId":"IP-159303","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488342,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-22-995-2025","text":"Publisher Index Page"},{"id":483581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Stegen, James","contributorId":242792,"corporation":false,"usgs":false,"family":"Stegen","given":"James","affiliations":[{"id":48525,"text":"Earth and Biological Sciences Division, Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":931320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgin, Amy J. 0000-0001-8489-4002","orcid":"https://orcid.org/0000-0001-8489-4002","contributorId":296009,"corporation":false,"usgs":false,"family":"Burgin","given":"Amy","email":"","middleInitial":"J.","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":931321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Busch, Michelle H.","contributorId":335238,"corporation":false,"usgs":false,"family":"Busch","given":"Michelle H.","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":931322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Joshua B.","contributorId":211503,"corporation":false,"usgs":false,"family":"Fisher","given":"Joshua","email":"","middleInitial":"B.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":931323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ladau, Joshua","contributorId":352452,"corporation":false,"usgs":false,"family":"Ladau","given":"Joshua","affiliations":[{"id":84225,"text":"University of California San Francisco, San Francisco, CA, USA","active":true,"usgs":false}],"preferred":false,"id":931324,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Abrahamson, Jenna","contributorId":352453,"corporation":false,"usgs":false,"family":"Abrahamson","given":"Jenna","affiliations":[{"id":63800,"text":"Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, USA","active":true,"usgs":false}],"preferred":false,"id":931325,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kinsman-Costello, Lauren","contributorId":352454,"corporation":false,"usgs":false,"family":"Kinsman-Costello","given":"Lauren","affiliations":[{"id":84226,"text":"Department of Biological Sciences, Kent State University, Kent, OH","active":true,"usgs":false}],"preferred":false,"id":931326,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Li","contributorId":213722,"corporation":false,"usgs":false,"family":"Li","given":"Li","affiliations":[],"preferred":false,"id":931327,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chen, Xingyuan","contributorId":300626,"corporation":false,"usgs":false,"family":"Chen","given":"Xingyuan","email":"","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":931328,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Datry, Thibault 0000-0003-1390-6736","orcid":"https://orcid.org/0000-0003-1390-6736","contributorId":225166,"corporation":false,"usgs":false,"family":"Datry","given":"Thibault","email":"","affiliations":[{"id":41062,"text":"Centre de Lyon-Villeurbanne, 69626 Villeurbanne CEDEX, France","active":true,"usgs":false}],"preferred":false,"id":931329,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McDowell, Nate","contributorId":224761,"corporation":false,"usgs":false,"family":"McDowell","given":"Nate","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":931330,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tatariw, Corianne","contributorId":352455,"corporation":false,"usgs":false,"family":"Tatariw","given":"Corianne","affiliations":[{"id":84229,"text":"Rowan University, Glassboro, NJ, USA","active":true,"usgs":false}],"preferred":false,"id":931331,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Braswell, Anna","contributorId":333345,"corporation":false,"usgs":false,"family":"Braswell","given":"Anna","email":"","affiliations":[{"id":36221,"text":"University of 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Morocco","active":true,"usgs":false}],"preferred":false,"id":931337,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Fluet-Chouinard, Etienne","contributorId":217392,"corporation":false,"usgs":false,"family":"Fluet-Chouinard","given":"Etienne","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":931338,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Forbrich, Inke","contributorId":332217,"corporation":false,"usgs":false,"family":"Forbrich","given":"Inke","email":"","affiliations":[{"id":79417,"text":"Woods Hole Marine Biological Laboratory","active":true,"usgs":false}],"preferred":false,"id":931339,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Jaeger, Kristin L. 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USA","active":true,"usgs":false}],"preferred":false,"id":931345,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Allen, Daniel C.","contributorId":335231,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":931346,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Herndon, Elizabeth","contributorId":352462,"corporation":false,"usgs":false,"family":"Herndon","given":"Elizabeth","affiliations":[{"id":33221,"text":"Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA","active":true,"usgs":false}],"preferred":false,"id":931347,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Middleton, Beth 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La Crosse, WI, USA","active":true,"usgs":false}],"preferred":false,"id":931352,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Boye, Kristin","contributorId":219255,"corporation":false,"usgs":false,"family":"Boye","given":"Kristin","email":"","affiliations":[{"id":39977,"text":"Stanford Synchrotron Radiation Lightsource (SSRL)","active":true,"usgs":false}],"preferred":false,"id":931353,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Wohl, Ellen","contributorId":313566,"corporation":false,"usgs":false,"family":"Wohl","given":"Ellen","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":931354,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Zimmer, Margaret","contributorId":295996,"corporation":false,"usgs":false,"family":"Zimmer","given":"Margaret","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":931355,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Hondula, Kelly","contributorId":352466,"corporation":false,"usgs":false,"family":"Hondula","given":"Kelly","affiliations":[{"id":84235,"text":"Arizona State University, Tempe, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":931356,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Laan, Maggi","contributorId":352467,"corporation":false,"usgs":false,"family":"Laan","given":"Maggi","affiliations":[{"id":28004,"text":"Pacific Northwest National Laboratory, Richland, WA, USA","active":true,"usgs":false}],"preferred":false,"id":931357,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Marshall, Anna","contributorId":352468,"corporation":false,"usgs":false,"family":"Marshall","given":"Anna","affiliations":[{"id":35623,"text":"Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":931358,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Patel, Kaizad F.","contributorId":352469,"corporation":false,"usgs":false,"family":"Patel","given":"Kaizad F.","affiliations":[{"id":28004,"text":"Pacific Northwest National Laboratory, Richland, WA, USA","active":true,"usgs":false}],"preferred":false,"id":931359,"contributorType":{"id":1,"text":"Authors"},"rank":40}]}}
,{"id":70264973,"text":"70264973 - 2025 - Reevaluating the depositional model of the Cenomanian–Turonian Bridge Creek Limestone Member near Pueblo, Colorado, U.S.A.: Roles of changing sedimentation rate on the formation of limestone–marl bedding couplets","interactions":[],"lastModifiedDate":"2025-03-27T15:05:02.687084","indexId":"70264973","displayToPublicDate":"2025-02-17T09:57:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluating the depositional model of the Cenomanian–Turonian Bridge Creek Limestone Member near Pueblo, Colorado, U.S.A.: Roles of changing sedimentation rate on the formation of limestone–marl bedding couplets","docAbstract":"<p><span>Although interbedded limestone–marl couplets in many hemipelagic and pelagic deposits have been commonly attributed to orbital-driven climate cycles, the driving mechanisms of these couplets remain largely controversial. This situation arises from the fact that detailed sedimentologic and petrographic facies characteristics of these fine-grained deposits have rarely been examined closely. In this study we conduct an integrated sedimentologic and petrographic analysis to disentangle causes of the limestone–marl bedding couplets in the Cenomanian–Turonian Bridge Creek Limestone Member (BCL) of the Greenhorn Formation using cores and outcrop near Pueblo, Colorado. By integrating existing geochemical datasets, each of the three general lithologies in the BCL including limestone, marl, and calcareous mudstone can be divided into two facies, a more bioturbated vs. a more laminated facies, in addition to bentonite beds. The variability in sedimentary, bioturbation, and petrographic characteristics of different sedimentary facies types, as well as constraints from the existing orbital time scale, in the BCL indicate changes in sediment accumulation rate or the amount of time recorded by different facies—the limestone, marl, and calcareous facies are interpreted to reflect increasing sedimentation rate. The sedimentary and petrographic facies variations, including but not limited to lithological alternations, in the BCL are interpreted to result from the combined influence of various processes such as bottom currents, bioturbation, early diagenesis, and episodic volcanic input, with some of the above-mentioned processes likely modulated by short-term relative changes in sea level. Results of this study highlight the need for detailed sedimentologic and petrographic studies and consideration of short-term changes in sedimentation rate to fully resolve the causes of the apparent limestone–marl bedding couplets and reliably reconstruct short-term changes in depositional and environmental conditions from the BCL and other similar successions.</span></p>","language":"English","publisher":"Society for Sedimentary Geology","doi":"10.2110/jsr.2024.121","usgsCitation":"Zhiyang Li, and Flaum, J.A., 2025, Reevaluating the depositional model of the Cenomanian–Turonian Bridge Creek Limestone Member near Pueblo, Colorado, U.S.A.: Roles of changing sedimentation rate on the formation of limestone–marl bedding couplets: Journal of Sedimentary Research, v. 95, no. 1, p. 186-208, https://doi.org/10.2110/jsr.2024.121.","productDescription":"23 p.","startPage":"186","endPage":"208","ipdsId":"IP-164103","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":483944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Pueblo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.30769287342653,\n              38.43186764103851\n            ],\n            [\n              -105.18611920603225,\n              38.43186764103851\n            ],\n            [\n              -105.18611920603225,\n              38.04895114213508\n            ],\n            [\n              -104.30769287342653,\n              38.04895114213508\n            ],\n            [\n              -104.30769287342653,\n              38.43186764103851\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"95","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhiyang Li","contributorId":352824,"corporation":false,"usgs":false,"family":"Zhiyang Li","affiliations":[{"id":84293,"text":"Texas A&M International University","active":true,"usgs":false}],"preferred":false,"id":932135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flaum, Jason A. 0000-0003-1251-1142","orcid":"https://orcid.org/0000-0003-1251-1142","contributorId":300809,"corporation":false,"usgs":true,"family":"Flaum","given":"Jason","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":932136,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264077,"text":"70264077 - 2025 - The accuracy of capture per unit effort in predicting density of a cryptic snake was more sensitive to reductions in spatial than temporal coverage","interactions":[],"lastModifiedDate":"2025-03-05T16:22:30.657901","indexId":"70264077","displayToPublicDate":"2025-02-10T09:18:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"The accuracy of capture per unit effort in predicting density of a cryptic snake was more sensitive to reductions in spatial than temporal coverage","docAbstract":"<p><span>A critical component of monitoring wildlife populations is understanding changes in population size or abundance. However, for most populations a complete census is not possible; thus, trends or abundance need to be estimated through alternative means, such as indexes. An important aspect of using indexes, such as capture per unit effort (CPUE), is validating them as accurate or precise predictors of population trends or abundance. We completed such analyses using data collected from visual surveys and trapping for brown treesnakes (</span><i>Boiga irregularis</i><span>) within a 5-ha enclosure that was undergoing a continuous population decline. During a ~ 6-year period, we censused and marked the snake population to fully enumerated the population, with new individuals resulting from births and removals resulting only from mortality (natural or experimental). From trapping and visual surveys, we were also able to calculate CPUE as a function of trap nights or km surveyed and used regressions to forecast snake density (snakes/km) in the enclosure from CPUE. We also rarefied the true dataset to measure whether reductions in sampling intensity, either temporally or spatially, affected the accuracy or precision in predicting snake density from CPUE. We found that trap CPUE demonstrated no statistical relationship to density based on our study methods. CPUE during visual surveys did predict actual density, with sufficient spatial and temporal sampling intensity. CPUE from visual surveys was relatively robust against reductions in temporal sampling when spatial intensity remained high. However, reductions in the spatial area covered to less than 50% of the enclosure rapidly reduced the accuracy and precision in using CPUE to forecast density. Our results indicate that visual surveys are a relatively accurate measure of true density for brown treesnakes, given sufficient spatial sampling effort. The spatial area of coverage required for CPUE to accurately predict changes in abundance was, however, intense with &gt; 50% of the spatial area required to be sampled on a given sampling night. Our results indicate that CPUE is only reliable as an index of abundance or population trends for cryptic snakes, if sampling effort covers most of the landscape over which populations are being estimated.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0317764","usgsCitation":"Nafus, M., Hanslowe, E.B., and Goetz, S.M., 2025, The accuracy of capture per unit effort in predicting density of a cryptic snake was more sensitive to reductions in spatial than temporal coverage: PLoS ONE, v. 20, no. 2, e0317764, 15 p., https://doi.org/10.1371/journal.pone.0317764.","productDescription":"e0317764, 15 p.","ipdsId":"IP-151357","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":487742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0317764","text":"Publisher Index Page"},{"id":482905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Guam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              144.57580570546742,\n              13.686292533777149\n            ],\n            [\n              144.57580570546742,\n              13.237404452388134\n            ],\n            [\n              144.9652940566009,\n              13.237404452388134\n            ],\n            [\n              144.9652940566009,\n              13.686292533777149\n            ],\n            [\n              144.57580570546742,\n              13.686292533777149\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Nafus, Melia Gail 0000-0002-7325-3055","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":245717,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia Gail","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":929687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanslowe, Emma B. 0000-0003-4331-6729","orcid":"https://orcid.org/0000-0003-4331-6729","contributorId":265394,"corporation":false,"usgs":false,"family":"Hanslowe","given":"Emma","email":"","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":929688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goetz, Scott Michael 0000-0002-8705-5316","orcid":"https://orcid.org/0000-0002-8705-5316","contributorId":228868,"corporation":false,"usgs":true,"family":"Goetz","given":"Scott","email":"","middleInitial":"Michael","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":929689,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263885,"text":"70263885 - 2025 - Using GPS tracking data to validate the conservation value of bird migration counts","interactions":[],"lastModifiedDate":"2025-02-27T15:29:12.802856","indexId":"70263885","displayToPublicDate":"2025-02-07T08:21:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Using GPS tracking data to validate the conservation value of bird migration counts","docAbstract":"<p><span>Effective conservation of migratory birds requires gathering of information about their population trends, often acquired using migratory bird counts. These schemes ideally operate at migratory bottlenecks, through which a significant portion of the counted migratory populations is funneled. Yet it is rare to validate the conservation value of the data from these counts. Here we perform this validation using GPS tracking data collected from two migratory species during their movement over two count schemes: the globally endangered steppe eagle counted in Eilat, Israel, and the black kite, counted in Batumi, Georgia. We use tracking data to answer two questions: which populations are counted and what affects the probability that a given individual will be counted. Our results illustrate variability in the effectiveness of these two migratory bird counting schemes. Considering the goal of estimating population trends, we show that Eilat does not represent a good location for understanding population trends of steppe eagles, while Batumi appears to provide better information on demographic trends of black kites. We further present differences in annual and individual variability, evidence regarding the breeding area origins of the counted populations and effects of environmental factors on the raptors' routes and, consequently, on the probabilities of being counted. Beyond the direct implications of our results, this study provides an example of using telemetry data to parameterize inference from bird counts. Further coupling of migratory bird count data and GPS data can improve our understanding of migration ecology and the conservation of migratory species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110959","usgsCitation":"Efrat, R., Lehnardt, Y., Berkowic, D., Leshem, Y., Dor, R., Bragin, A.E., Bragin, E., Katzner, T., and Sapir, N., 2025, Using GPS tracking data to validate the conservation value of bird migration counts: Biological Conservation, v. 302, 110959, 10 p., https://doi.org/10.1016/j.biocon.2024.110959.","productDescription":"110959, 10 p.","ipdsId":"IP-168274","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":482558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Israel, 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,{"id":70263512,"text":"70263512 - 2025 - Video evidence of a Red-eared Slider (Trachemys scripta elegans) preying upon a live Mallard (Anas platyrhynchos) duckling in Louisiana","interactions":[],"lastModifiedDate":"2025-02-13T15:44:54.229252","indexId":"70263512","displayToPublicDate":"2025-02-03T09:32:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Video evidence of a Red-eared Slider (<i>Trachemys scripta elegans</i>) preying upon a live Mallard (<i>Anas platyrhynchos</i>) duckling in Louisiana","title":"Video evidence of a Red-eared Slider (Trachemys scripta elegans) preying upon a live Mallard (Anas platyrhynchos) duckling in Louisiana","docAbstract":"<p>Most animal matter in the diet of the omnivorous <i>Trachemys scripta</i> (Pond Slider) consists of invertebrate prey items such as insects, crustaceans, and mollusks, but often also includes fish and amphibians. Reptiles, birds, and mammals are less commonly reported, and even when found, it is usually unknown if they were captured alive, as Pond Sliders will certainly scavenge dead animals. Though it is well known that <i>Chelydra serpentina</i> (Snapping Turtle) will prey upon waterfowl from the water surface, reports of such encounters are seemingly rare in Pond Sliders. Here, we document with video evidence an adult female <i>T. s. elegans</i> (Red-eared Slider) emerging from the water to successfully take and drown an <i>Anas platyrhynchos</i> (Mallard) duckling.</p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.023.0417","usgsCitation":"Glorioso, B., Landry, A., and Mandill, G., 2025, Video evidence of a Red-eared Slider (Trachemys scripta elegans) preying upon a live Mallard (Anas platyrhynchos) duckling in Louisiana: Southeastern Naturalist, v. 23, no. 4, p. N90-N93, https://doi.org/10.1656/058.023.0417.","productDescription":"4 p.","startPage":"N90","endPage":"N93","ipdsId":"IP-169171","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":482029,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Mandeville","volume":"23","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Glorioso, Brad 0000-0002-5400-7414","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":204397,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":927242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landry, Alex","contributorId":350905,"corporation":false,"usgs":false,"family":"Landry","given":"Alex","affiliations":[{"id":83872,"text":"Canoe and Trail Adventures","active":true,"usgs":false}],"preferred":false,"id":927243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mandill, Gabrielle","contributorId":350906,"corporation":false,"usgs":false,"family":"Mandill","given":"Gabrielle","affiliations":[],"preferred":false,"id":927244,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262877,"text":"70262877 - 2025 - The relative influence of geographic and environmental factors on rare plant translocation outcomes","interactions":[],"lastModifiedDate":"2025-03-11T15:21:38.484337","indexId":"70262877","displayToPublicDate":"2025-01-22T08:20:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The relative influence of geographic and environmental factors on rare plant translocation outcomes","docAbstract":"<ol class=\"\"><li>Conservation translocations are an established method for reducing the extinction risk of plant species through intentional movement within or outside the indigenous range. Unsuitable environmental conditions at translocation recipient sites and a lack of understanding of species–environment relationships are often identified as critical barriers to translocation success. However, previous syntheses have drawn these inferences from analyses of qualitative feedback rather than quantitative environmental data.</li><li>In this study, we use a data set of 235 translocations conducted in the US to understand the influences of geographic and environmental factors on three metrics of translocation success: population persistence, next-generation recruitment and next-generation maturity. We use random forest models to quantify the relative importance of geographic and environmental factors that characterize dissimilarity between source and recipient locations, the position of recipient sites relative to species' ranges and niche metrics derived from these ranges. We also compare the importance of these variables with more conventional predictors (e.g. founder population size).</li><li>Our results indicate that geographic and environmental variables can be as insightful as conventional variables for predicting plant translocation outcomes. The climate suitability of recipient sites, estimated using species distribution models, was the strongest relative predictor of whether a population persisted, with populations situated in more suitable climates displaying greater persistence. Next-generation recruitment and maturity were best predicted by niche metrics; species in more biotically limiting environments, including tropical regions and soils with high relative nutrient retention, as well as species with the broadest precipitation niches, were the least likely to attain these next-generation benchmarks.</li><li><i>Synthesis and applications</i>. Our study is one of the first to quantify the important role of spatial and climatic factors in rare plant translocation outcomes. We provide a novel geographic and environmental perspective on outcomes in plant translocations and demonstrate opportunities to improve translocation success not only by adhering to established best practice guidelines but also by integrating spatial modelling approaches into planning and management processes.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14855","usgsCitation":"Bellis, J., Albrecht, M.A., Maschinski, J., Dalrymple, S., Keir, M.J., Chambers, T., Possley, J., Adkins, E.D., Parsons, E.W., Kunz, M., Radcliffe, C., Coffey, E., Kaye, T., Peterson, C.L., Aaron, D., Herron, S., Menges, E., Bell, T.J., Coppoletta, M., Elam, C., Kathryn, M.A., Williamson, P., Boensch, D., Bontrager, M., Cooper, B., Frade, N., Gordon, D.R., Link, S.O., Littlefield, T., Murray, S., O’Dell, R., Pavlovic, N.B., Reemts, C.M., Taylor, D.D., Titus, J.H., Titus, P.J., Stanley, T., and Heineman, K., 2025, The relative influence of geographic and environmental factors on rare plant translocation outcomes: Journal of Applied Ecology, v. 62, no. 3, p. 638-650, https://doi.org/10.1111/1365-2664.14855.","productDescription":"13 p.","startPage":"638","endPage":"650","ipdsId":"IP-170384","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489722,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14855","text":"Publisher Index Page"},{"id":481263,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Bellis, Joe 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,{"id":70267792,"text":"70267792 - 2025 - Variation in habitat selection by male Strix nebulosa (Great Gray Owls) across the diel cycle","interactions":[],"lastModifiedDate":"2025-06-02T15:37:53.643622","indexId":"70267792","displayToPublicDate":"2025-01-17T08:32:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Variation in habitat selection by male Strix nebulosa (Great Gray Owls) across the diel cycle","docAbstract":"<p><span>Despite the long-standing recognition that animals partition activities, for example, across different periods of the day, understanding of how habitat selection varies according to specific temporal periods or behavioral activities remains limited for most species. For example, although much of the animal kingdom is nocturnally active, studies that characterize nocturnal behavior remain relatively rare, which precludes a thorough understanding of key habitats. We used Global Positioning System tracking and remotely-sensed environmental data to evaluate whether breeding-season habitat selection by adult male&nbsp;</span><i>Strix nebulosa</i><span>&nbsp;(Great Gray Owls) (</span><i>n</i><span> = 19) varied across diel periods (dawn, day, dusk, and night). We focused on male owls because their habitat selection remains largely unknown despite the critical role they play as food provisioners. To address knowledge gaps related to nocturnal habitat, we also evaluated finer-scale, microhabitat selection by male owls at night. Owls were more active during dusk through dawn, suggesting that owls forage during crepuscular and nighttime periods and roost during the day. Owls avoided herbaceous wetlands during the day but strongly selected them at dawn, dusk, and night, indicating time-dependent habitat selection. Moreover, owls avoided dry meadows at all times of the day, suggesting that wet rather than xeric meadows are important for foraging. Owls also selected nighttime microhabitats that facilitated foraging, such as those with the presence of primary prey and open understories. During the daytime, owls chose areas with closed canopies and increased soil moisture, which likely provided suitable roosting habitat. Owls avoided development but selected areas closer to roads, particularly containing preferred habitats. Understanding of habitat selection across activity periods, temporal windows, and other contexts can improve the conservation of critical habitat for wildlife. Our work contributes to understanding of how animals balance resources related to food provisioning versus safety, both of which are critical for individual fitness and population persistence.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukaf003","usgsCitation":"Gura, K., Bedrosian, B., Patla, S., and Chalfoun, A.D., 2025, Variation in habitat selection by male Strix nebulosa (Great Gray Owls) across the diel cycle: Ornithology, v. 142, ukaf003, 14 p., https://doi.org/10.1093/ornithology/ukaf003.","productDescription":"ukaf003, 14 p.","ipdsId":"IP-174311","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithology/ukaf003","text":"Publisher Index Page"},{"id":489406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","county":"Teton County","otherGeospatial":"Greater Yellowston Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.03645482026093,\n              45.00364303043449\n            ],\n            [\n              -111.03645482026093,\n              43.24877292612567\n            ],\n            [\n              -109.20875713322333,\n              43.24877292612567\n            ],\n            [\n              -109.20875713322333,\n              45.00364303043449\n            ],\n            [\n              -111.03645482026093,\n              45.00364303043449\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"142","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Gura, Katherine B.","contributorId":356246,"corporation":false,"usgs":false,"family":"Gura","given":"Katherine B.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":938913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Bryan","contributorId":199738,"corporation":false,"usgs":false,"family":"Bedrosian","given":"Bryan","affiliations":[{"id":35591,"text":"Teton Raptor Center","active":true,"usgs":false}],"preferred":false,"id":938914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patla, Susan","contributorId":356248,"corporation":false,"usgs":false,"family":"Patla","given":"Susan","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":938915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938916,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262403,"text":"pp1900 - 2025 - Prospectivity mapping for geologic hydrogen","interactions":[],"lastModifiedDate":"2025-07-10T15:49:15.032401","indexId":"pp1900","displayToPublicDate":"2025-01-16T15:45:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1900","displayTitle":"Prospectivity Mapping for Geologic Hydrogen","title":"Prospectivity mapping for geologic hydrogen","docAbstract":"<p>Geologic, or naturally occurring, hydrogen has the potential to become a new, low-carbon, primary energy resource. Often referred to as “white” or “gold” hydrogen, this gas occurs naturally in the Earth’s subsurface, similar to petroleum resources. However, unlike petroleum, which releases carbon dioxide when burned, burning hydrogen only produces water as a byproduct. Exploration for geologic hydrogen remains in an early stage and discoveries of high concentrations of subsurface hydrogen are still relatively rare. To facilitate research and exploration for this potential resource, this report presents the first publicly available prospectivity map of geologic hydrogen accumulations in the conterminous United States. Prospective regions are those regions in which all major components necessary for a hydrogen accumulation likely are present—a source of sufficient hydrogen generation, porous reservoirs for storage, and seals to prevent leakage. The midcontinent region of the United States and the central California coast are revealed as having high prospectivity. This analysis also identifies previously unrecognized prospective regions that may be favorable due to long distance lateral migration of subsurface hydrogen, such as the offshore eastern seaboard of the United States, and can provide a linkage between surface observations of hydrogen degassing and far-field source regions. The methodology developed to create this map is expandable and flexible and may be adapted to incorporate new concepts in the hydrogen system and for application to other regions of the world.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/pp1900","programNote":"Energy Resources Program","usgsCitation":"Gelman, S.E., Hearon, J.S., and Ellis, G.S., 2025, Prospectivity mapping for geologic hydrogen (ver. 1.2, January 22,\n2025): U.S. Geological Survey Professional Paper 1900, 43 p., https://doi.org/10.3133/pp1900.","productDescription":"Report: iv, 43 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-171159","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":480750,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1900/versionHist.txt","size":"8.00 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1900 version 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Supplementary Figures</li><li>Appendix 2. Matlab Script to Calculate Prospectivity</li></ul>","publishedDate":"2025-01-16","revisedDate":"2025-01-22","noUsgsAuthors":false,"publicationDate":"2025-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Gelman, Sarah E. 0000-0003-2549-9509","orcid":"https://orcid.org/0000-0003-2549-9509","contributorId":270004,"corporation":false,"usgs":true,"family":"Gelman","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":924108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hearon, Jane S. 0000-0002-1370-8169","orcid":"https://orcid.org/0000-0002-1370-8169","contributorId":270007,"corporation":false,"usgs":true,"family":"Hearon","given":"Jane","email":"","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":924109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":924110,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262454,"text":"70262454 - 2025 - Tracing metal sources and groundwater flow paths in the Upper Animas River watershed using rare earth elements and stable isotopes","interactions":[],"lastModifiedDate":"2025-02-11T15:45:16.210494","indexId":"70262454","displayToPublicDate":"2025-01-16T10:25:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Tracing metal sources and groundwater flow paths in the Upper Animas River watershed using rare earth elements and stable isotopes","docAbstract":"<p><span>Groundwater flow paths and processes that govern metal mobility and transport are difficult to characterize in mountainous bedrock watersheds. Despite the difficulty in holistic characterization, conceptual understanding of subsurface hydrologic and geochemical processes is key to developing remediation plans for locations affected by acid mine drainage, such as the Upper Animas River watershed in southwestern Colorado, USA. Stable isotopes of water and rare earth elements were utilized to evaluate groundwater flow and metal sources within this complex catchment. Stable isotope samples collected from draining mine adits and springs display systematic spatial variation wherein sample sites at higher elevations have greater seasonal variability than sites at lower elevations. The Upper Cement Creek watershed, where multiple draining mines are present, displays the lowest seasonal variation in stable isotopic signatures, potentially indicating the presence of a large, well-mixed volume of groundwater storage or interbasin groundwater flow. Rare earth elements display statistically significant variation between different alteration styles in the catchment. Overprinting of regional propylitic alteration is evident based on enrichment of middle rare earth elements in acidic springs and mines that are not spatially associated with surficial exposures of acid generating alteration styles. Europium anomaly and middle rare earth enrichment signatures from two flooded mine tunnels on opposite sides of a watershed divide indicate connections to the same subsurface flooded mine workings.</span></p>","language":"English","publisher":"Geological Society of London","doi":"10.1144/geochem2024-023","usgsCitation":"Newman, C.P., Cowie, R.M., Wilkin, R., and Navarre-Sitchler, A., 2025, Tracing metal sources and groundwater flow paths in the Upper Animas River watershed using rare earth elements and stable isotopes: Geochemistry: Exploration, Environment, Analysis, v. 25, no. 1, geochem2024-023, 13 p., https://doi.org/10.1144/geochem2024-023.","productDescription":"geochem2024-023, 13 p.","ipdsId":"IP-165955","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":480747,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":481028,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1144/geochem2024-023","text":"Publisher Index Page"}],"country":"United States","state":"Colorado","otherGeospatial":"Upper Animas River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.70,\n              37.93\n            ],\n            [\n              -107.70,\n              37.86\n            ],\n            [\n              -107.56,\n              37.86\n            ],\n            [\n              -107.56,\n              37.93\n            ],\n            [\n              -107.70,\n              37.93\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cowie, Rory M.","contributorId":270098,"corporation":false,"usgs":false,"family":"Cowie","given":"Rory","email":"","middleInitial":"M.","affiliations":[{"id":56077,"text":"Alpine Water Resources","active":true,"usgs":false}],"preferred":false,"id":924249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilkin, Rick 0000-0002-8635-9545","orcid":"https://orcid.org/0000-0002-8635-9545","contributorId":345122,"corporation":false,"usgs":false,"family":"Wilkin","given":"Rick","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":924250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Navarre-Sitchler, Alexis","contributorId":190441,"corporation":false,"usgs":false,"family":"Navarre-Sitchler","given":"Alexis","email":"","affiliations":[],"preferred":false,"id":924251,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262135,"text":"70262135 - 2025 - Endemic and invasive species: A history of distributional trends in the fish fauna of the lower New River drainage","interactions":[],"lastModifiedDate":"2025-01-15T17:02:19.54134","indexId":"70262135","displayToPublicDate":"2025-01-15T09:54:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Endemic and invasive species: A history of distributional trends in the fish fauna of the lower New River drainage","docAbstract":"<p><span>Invasive species are often central to conservation efforts, particularly when concerns involve potential impacts on rare, endemic native species. The lower New River drainage of the eastern United States is a watershed that warrants conservation assessment, as the system is naturally depauperate of native fish species and it is nearly saturated with non-native fish species: there are 31 natives, including at least nine endemic taxa, and 63 non-natives. For endemic taxa, we examined temporal distribution shifts (range expansions or contractions) based on percent change in the occupied watershed area. We contrasted these findings with time series analyses on distribution trends of non-native minnows (Leuciscidae) and darters (Percidae) based on growth curve models of the cumulative sum of the total area of occupied 12-digit hydrologic unit codes. We documented range reductions for six of nine endemic taxa. We determined that 11 of 18 non-native minnows and 6 of 8 non-native darters were invasive based on range expansions and associated invasion curve models. The endemic taxa are of conservation concern given the limited distribution ranges and documented population declines. Although among-species comparisons of range shifts do not support causal inference, documentation of changes in distribution ranges of endemic and invasive species is critical to inform conservation efforts.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w17020221","usgsCitation":"Welsh, S.A., Cincotta, D., Owens, N., and Stauffer, J.R., 2025, Endemic and invasive species: A history of distributional trends in the fish fauna of the lower New River drainage: Water, v. 17, no. 2, 221, 23 p., https://doi.org/10.3390/w17020221.","productDescription":"221, 23 p.","ipdsId":"IP-173053","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w17020221","text":"Publisher Index Page"},{"id":466432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee, Virginia, West Virginia","otherGeospatial":"New River drainage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.06585576020927,\n              38.59746796567387\n            ],\n            [\n              -82.06585576020927,\n              35.986473012540856\n            ],\n            [\n              -80.05188055833794,\n              35.986473012540856\n            ],\n            [\n              -80.05188055833794,\n              38.59746796567387\n            ],\n            [\n              -82.06585576020927,\n              38.59746796567387\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":217037,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cincotta, Daniel A.","contributorId":273118,"corporation":false,"usgs":false,"family":"Cincotta","given":"Daniel A.","affiliations":[{"id":56173,"text":"West Virginia DNR","active":true,"usgs":false}],"preferred":false,"id":923242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Owens, Nathaniel V.","contributorId":348205,"corporation":false,"usgs":false,"family":"Owens","given":"Nathaniel V.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":923243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stauffer, Jay R. Jr.","contributorId":119700,"corporation":false,"usgs":false,"family":"Stauffer","given":"Jay","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":923244,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263252,"text":"70263252 - 2025 - Geochemical processes related to mined, milled, or natural metal deposits in a rapidly changing global environment","interactions":[],"lastModifiedDate":"2025-03-11T15:00:46.273017","indexId":"70263252","displayToPublicDate":"2025-01-10T08:25:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical processes related to mined, milled, or natural metal deposits in a rapidly changing global environment","docAbstract":"<p><span>The demand for metals and raw materials, such as nickel and copper, has been projected to expand in the coming decades, driven by the global energy transition, the need for green technologies, and expanding infrastructure. Consequently, the increasing extraction and production of mining waste can have adverse impacts on surrounding environments and human health. The aim of this thematic collection is to fill critical knowledge gaps in the present-day cycles of metal(loid)s from source to larger sinks, and the effect of environmental management, anthropogenic development, and climate change. Altogether, the studies have been conducted in different natural settings around the world and comprise investigations in laterites, a soil-medicinal plant system, watersheds, and banded iron formations, among others. The geochemical applications in tracing mineralization, its secondary products, and/or potential impact on the immediate environment are highly diverse with applied tools ranging from isotope tracers to major and trace element systematics. Particularly the use of rare earth elements, their patterns and anomalies are methods employed by several studies in this collection. We summarize the findings to offer a potential future direction for the use of geochemical tracing techniques in resource exploration in the context of climate change and environmental challenges.</span></p>","language":"English","publisher":"GeoScienceWorld","doi":"10.1144/geochem2024-062","usgsCitation":"Parviainen, A., Beisner, K.R., Blake, J., O'Sullivan, E., Miller, C., and Rosca, C., 2025, Geochemical processes related to mined, milled, or natural metal deposits in a rapidly changing global environment: Geochemistry: Exploration, Environment, Analysis, v. 25, no. 1, geochem2024-062, 6 p., https://doi.org/10.1144/geochem2024-062.","productDescription":"geochem2024-062, 6 p.","ipdsId":"IP-172207","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":481606,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, China, Indonesia, Iran, United 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,{"id":70262091,"text":"70262091 - 2025 - Widespread occurrence of former anhydrite phenocrysts in Laramide-age magmas related to porphyry-skarn Cu mineralization at Santa Rita and Hanover-Fierro, New Mexico, USA","interactions":[],"lastModifiedDate":"2025-02-11T15:44:02.081868","indexId":"70262091","displayToPublicDate":"2025-01-09T07:56:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Widespread occurrence of former anhydrite phenocrysts in Laramide-age magmas related to porphyry-skarn Cu mineralization at Santa Rita and Hanover-Fierro, New Mexico, USA","docAbstract":"Reports of magmatic anhydrite are relatively rare, with only ~30 occurrences documented worldwide so far. However, magmatic anhydrite saturation is difficult to recognize because anhydrite decomposes rapidly in near-surface environments. In most cases, only anhydrite inclusions shielded within other phenocryst phases were able to survive. Alternatively, since anhydrite phenocrysts preserved in fresh volcanic rocks are characteristically intergrown with apatite phenocrysts, the former presence of anhydrite phenocrysts can be recognized based on the occurrence of lath-shaped cavities that show a strong spatial association with apatite phenocrysts. These cavities can be either empty or filled with low-temperature, secondary minerals such as zeolites, carbonates, or microcrystalline silica. A systematic search for the occurrence of such cavities, combined with optical and Raman-spectroscopic identification of anhydrite inclusions preserved within apatite, hornblende and quartz phenocrysts, demonstrates that most of the Laramide-age magmas associated with the Santa Rita and Hanover-Fierro porphyry-skarn Cu (Zn, Mo, Au, Pb) deposits were saturated in magmatic anhydrite. The anhydrite typically coexisted with monosulfide solid solution (MSS), suggesting oxygen fugacities of ~2.0±0.5 log units above the fayalite-magnetite-quartz buffer. The magmas range from andesitic to rhyodacitic in composition, and from shortly pre-mineralization (~61 Ma) to shortly post-mineralization (~57 Ma) in age. In three samples with particularly well-recognizable former anhydrite phenocrysts, their modal abundance could be quantified based on high-resolution scans of polished hand specimens. The observed modal anhydrite abundances of 0.63–1.8 vol% translate into minimum magma sulfur contents of 0.20–0.56 wt% S. The highest sulfur content of 0.56 wt% S is difficult to reconcile with available anhydrite solubility models, but it could be reproduced in an anhydrite solubility experiment performed at 950 °C and 1.15 GPa on a natural latite containing 13.1 wt% dissolved H2O. The sample with the second-highest sulfur content of 0.26 wt% S requires ~10 wt% H2O in the silicate melt, and, consequently, a minimum pressure of ~0.5 GPa. Taken together, the results suggest that the magmas of the Central Mining District were extremely hydrous and thus originated from great depth. Indeed, their major element compositions and reconstructed H2O and S contents agree well with experimentally observed and numerically predicted compositions of residual silicate melts after 50–70 wt% crystallization of ordinary arc basalts at high pressure and high oxygen fugacities.","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egaf002","usgsCitation":"Audétat, A., Chang, J., and Gaynor, S.P., 2025, Widespread occurrence of former anhydrite phenocrysts in Laramide-age magmas related to porphyry-skarn Cu mineralization at Santa Rita and Hanover-Fierro, New Mexico, USA: Journal of Petrology, v. 66, no. 2, egaf002, 23 p., https://doi.org/10.1093/petrology/egaf002.","productDescription":"egaf002, 23 p.","ipdsId":"IP-168229","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":487533,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egaf002","text":"Publisher Index Page"},{"id":466109,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Hanover-Fierro, Santa Rita","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.10261817259553,\n              32.85610540110157\n            ],\n            [\n              -108.10261817259553,\n              32.78023012839911\n            ],\n            [\n              -108.0478342844907,\n              32.78023012839911\n            ],\n            [\n              -108.0478342844907,\n              32.85610540110157\n            ],\n            [\n              -108.10261817259553,\n              32.85610540110157\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"66","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Audétat, Andreas","contributorId":348171,"corporation":false,"usgs":false,"family":"Audétat","given":"Andreas","affiliations":[{"id":83309,"text":"Bavarian Geoinstitute, University of Bayreuth","active":true,"usgs":false}],"preferred":false,"id":923057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chang, Jia","contributorId":348172,"corporation":false,"usgs":false,"family":"Chang","given":"Jia","affiliations":[{"id":83309,"text":"Bavarian Geoinstitute, University of Bayreuth","active":true,"usgs":false}],"preferred":false,"id":923058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaynor, Sean Patrick 0000-0002-8353-511X","orcid":"https://orcid.org/0000-0002-8353-511X","contributorId":346264,"corporation":false,"usgs":true,"family":"Gaynor","given":"Sean","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":923059,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263776,"text":"70263776 - 2025 - Population estimates and land cover use of wintering Mountain Plovers in Texas","interactions":[],"lastModifiedDate":"2025-02-24T15:47:14.578888","indexId":"70263776","displayToPublicDate":"2025-01-01T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Population estimates and land cover use of wintering Mountain Plovers in Texas","docAbstract":"<p>Conservation of migratory birds throughout the full annual cycle requires a comprehensive understanding of abundance and distribution in interconnected breeding, migration, and wintering habitats. The Mountain Plover (<i>Anarhynchus montanus</i>) is a rare endemic breeder of the Rocky Mountain and Great Plains regions that migrates to wintering grounds in the southwestern USA and northern Mexico. Information regarding its wintering abundance and distribution, particularly in Texas, is limited. This study provides the first population estimate for Mountain Plovers wintering in Texas and examines factors influencing their land cover use. Through distance sampling surveys in six ecoregions of Texas, we estimated an annual wintering population of 3096 (95% CI 1464–6547) Mountain Plovers during 2019–2020, with the greatest abundances in the Southern Texas Plains and Western Gulf Coastal Plain ecoregions. The highest plover densities were in the Southern Texas Plains and Central Great Plains ecoregions. Most plovers were found in cultivated crops, particularly tilled fields and sod farms, and plovers preferentially selected crop fields without residual vegetation or stubble. Grass/hay fields were used less, perhaps because of tall vegetation. Our findings highlight the significance of Texas as a wintering area for Mountain Plovers and emphasize the importance of specific cropland habitats for this species. These results provide crucial insights for conservation and management efforts aimed at protecting Mountain Plovers throughout their annual cycle.</p>","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/JFO-00583-960101","usgsCitation":"Lyons, J.E., Andres, B.A., Stone, K., Pierce, A., and Kruse, K.L., 2025, Population estimates and land cover use of wintering Mountain Plovers in Texas: Journal of Field Ornithology, v. 96, no. 1, 1, 10 p., https://doi.org/10.5751/JFO-00583-960101.","productDescription":"1, 10 p.","ipdsId":"IP-165312","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":489949,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/jfo-00583-960101","text":"Publisher Index Page"},{"id":482380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":928224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Kelli L.","contributorId":317987,"corporation":false,"usgs":false,"family":"Stone","given":"Kelli L.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":928225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pierce, Allison K.","contributorId":317984,"corporation":false,"usgs":false,"family":"Pierce","given":"Allison K.","affiliations":[{"id":6709,"text":"University of Colorado, Denver","active":true,"usgs":false}],"preferred":false,"id":928226,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kruse, Kammie L.","contributorId":174967,"corporation":false,"usgs":false,"family":"Kruse","given":"Kammie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":928227,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261188,"text":"70261188 - 2025 - Projections of multiple climate-related coastal hazards for the US Southeast Atlantic","interactions":[],"lastModifiedDate":"2025-01-22T15:49:36.764574","indexId":"70261188","displayToPublicDate":"2024-11-21T09:05:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Projections of multiple climate-related coastal hazards for the US Southeast Atlantic","docAbstract":"<p><span>Faced with accelerating sea level rise and changing ocean storm conditions, coastal communities require comprehensive assessments of climate-driven hazard impacts to inform adaptation measures. Previous studies have focused on flooding but rarely on other climate-related coastal hazards, such as subsidence, beach erosion and groundwater. Here, we project societal exposure to multiple hazards along the Southeast Atlantic coast of the United States. Assuming 1 m of sea level rise, more than 70% of the coastal residents and US \\<span>$</span>1 trillion in property are in areas projected to experience shallow and emerging groundwater, 15 times higher than daily flooding. Storms increase flooding exposure by an order of magnitude over daily flooding, which could impact up to ~50% of all coastal residents and US \\<span>$</span>770 billion in property value. The loss of up to ~80% of present-day beaches and high subsidence rates that currently affect over 1 million residents will exacerbate flooding and groundwater hazard risks.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41558-024-02180-2","usgsCitation":"Barnard, P.L., Befus, K.M., Danielson, J.J., Engelstad, A.C., Erikson, L.H., Foxgrover, A.C., Hayden, M.K., Hoover, D.J., Leijnse, T., Massey, C., McCall, R.T., Nadal-Caraballo, N., Nederhoff, K., O'Neill, A., Parker, K.A., Shirzaei, M., Ohenhen, L.O., Swarzenski, P., Thomas, J.A., van Ormondt, M., Vitousek, S., Vos, K., Wood, N.J., Jones, J.M., and Jones, J., 2025, Projections of multiple climate-related coastal hazards for the US Southeast Atlantic: Nature Climate Change, v. 15, p. 101-109, https://doi.org/10.1038/s41558-024-02180-2.","productDescription":"9 p.","startPage":"101","endPage":"109","ipdsId":"IP-162659","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":489042,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10919/123765","text":"External Repository"},{"id":464565,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.59455337385396,\n              25.101429367963405\n            ],\n            [\n              -79.83220449492563,\n              25.47080719868289\n            ],\n            [\n              -79.79980575822137,\n              27.794671963858548\n            ],\n            [\n              -81.02658077471993,\n              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0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":919564,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayden, Maya Kumari 0000-0002-8650-7931","orcid":"https://orcid.org/0000-0002-8650-7931","contributorId":303130,"corporation":false,"usgs":true,"family":"Hayden","given":"Maya","email":"","middleInitial":"Kumari","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":919565,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hoover, Daniel J. 0000-0002-2927-6196 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Sciences, University of Delaware, Newark, DE, USA","active":true,"usgs":false}],"preferred":false,"id":919575,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Swarzenski, Peter W 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":225227,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter W","affiliations":[],"preferred":true,"id":919576,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Thomas, Jennifer Anne 0000-0002-8338-0146","orcid":"https://orcid.org/0000-0002-8338-0146","contributorId":297988,"corporation":false,"usgs":true,"family":"Thomas","given":"Jennifer","email":"","middleInitial":"Anne","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":919577,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"van Ormondt, Maarten","contributorId":147148,"corporation":false,"usgs":false,"family":"van Ormondt","given":"Maarten","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":919578,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":919579,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Vos, Killian","contributorId":346570,"corporation":false,"usgs":false,"family":"Vos","given":"Killian","email":"","affiliations":[{"id":80179,"text":"UNSW Sydney","active":true,"usgs":false}],"preferred":false,"id":919580,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":919581,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":919582,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Jones, Jamie 0000-0002-9967-3314 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,{"id":70261082,"text":"70261082 - 2025 - Pathology of lesions in corals from the US Virgin Islands after emergence of stony coral tissue loss disease","interactions":[],"lastModifiedDate":"2025-02-11T15:41:37.73801","indexId":"70261082","displayToPublicDate":"2024-11-18T09:08:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Pathology of lesions in corals from the US Virgin Islands after emergence of stony coral tissue loss disease","docAbstract":"<p><span>Stony coral tissue loss disease (SCTLD) was first documented in Florida in 2014 and has since spread through the Caribbean causing unprecedented mortality in more than 20 species of corals. The cause of SCTLD is unknown, but bacteria are suspected based on regression of gross lesions in some corals treated with antibiotics. Limited pathology studies on SCTLD exist, but it is likely that ‘SCTLD’ is a general term encompassing tissue loss disease of unexplained origin. Here, we examined pathology of lesions in corals from the US Virgin Islands where SCTLD has recently emerged. The typical histologic lesion of SCTLD in Florida corals was lytic necrosis comprising vacuolation and necrosis of mucus cells with erosion of mesoglea and misshapen endosymbionts with variably sized intracytoplasmic granules and common occurrence of filamentous viral-like particles in endosymbionts visible on electron microscopy (EM). In contrast, USVI corals had mainly lytic mucus cell hypertrophy and necrosis with no involvement of mesoglea, endosymbiont pathology at the light microscopy level was less evident, and VLP were rarely seen on EM. We suspect SCTLD is likely more complex with multiple presentations and potential etiologies depending on geographic region. Further pathological studies from other regions might help refine the case definition of SCTLD.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00338-024-02595-5","usgsCitation":"Work, T.M., Miller, J., Kelley, T., Hawthorn, A.C., Weatherby, T., and Rogers, C., 2025, Pathology of lesions in corals from the US Virgin Islands after emergence of stony coral tissue loss disease: Coral Reefs, v. 44, p. 179-192, https://doi.org/10.1007/s00338-024-02595-5.","productDescription":"14 p.","startPage":"179","endPage":"192","ipdsId":"IP-166422","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":464427,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"U.S. Virgin Islands","otherGeospatial":"St. John","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -64.66517045384137,\n              18.327944111890872\n            ],\n            [\n              -64.65816395729534,\n              18.342416841826363\n            ],\n            [\n              -64.70719998477635,\n              18.37370178516734\n            ],\n            [\n              -64.75788637987523,\n              18.375661114474894\n            ],\n            [\n              -64.79785306723443,\n              18.349065240938316\n            ],\n            [\n              -64.81063254129313,\n              18.32285893388371\n            ],\n            [\n              -64.77972658733694,\n              18.302124780248135\n            ],\n            [\n              -64.69937112137872,\n              18.296261220681316\n            ],\n            [\n              -64.66517045384137,\n              18.327944111890872\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":919135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Jeff","contributorId":204570,"corporation":false,"usgs":false,"family":"Miller","given":"Jeff","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":919136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Thomas","contributorId":225507,"corporation":false,"usgs":false,"family":"Kelley","given":"Thomas","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":919137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawthorn, Aine C. 0000-0002-8029-1383","orcid":"https://orcid.org/0000-0002-8029-1383","contributorId":292709,"corporation":false,"usgs":true,"family":"Hawthorn","given":"Aine","email":"","middleInitial":"C.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":919138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weatherby, Tina","contributorId":193516,"corporation":false,"usgs":false,"family":"Weatherby","given":"Tina","affiliations":[],"preferred":false,"id":919139,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogers, Caroline 0000-0001-9056-6961","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":223023,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":919140,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265466,"text":"70265466 - 2025 - Forest bird population status on Saipan, a small oceanic island","interactions":[],"lastModifiedDate":"2025-04-07T14:48:36.429723","indexId":"70265466","displayToPublicDate":"2024-10-31T09:43:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Forest bird population status on Saipan, a small oceanic island","docAbstract":"<p><span>Tropical oceanic islands are critical biodiversity hotspots where population monitoring can help to determine the status and trends of rare and endangered species. Saipan is the second largest island in the Mariana Islands and contains many endemic and range-restricted bird species. Surveys of forest birds were conducted on Saipan using point-transect distance sampling, starting in 1982. To determine population status for Saipan avifauna, we generated abundance estimates based on surveys conducted in 1982, 1997, 2007, and 2018. We also assessed community composition by exploring if there were changes in assemblage diversity, total forest bird abundance, and ratio of native to non-native populations over time. For the 2018 survey, there were 5791 detections of 18 species during 242 counts, with six of 18 species detected at &gt; 50 % of the counts and with relatively high abundance, while 12 species were detected at &lt; 50 % of the counts and were uncommon or rare. The most abundant species was Bridled White eye (nosa',&nbsp;</span><i>Zosterops conspicillatus saypani</i><span>) at &gt; 40 birds/ha and the least common species was the Saipan Reed Warbler (gå'ga' karisu,&nbsp;</span><i>Acrocephalus hiwae)</i><span>&nbsp;at &lt; 1 bird/ha. We found that the community composition is becoming slightly more even over time and the overall community abundance is stable (around 375,000 birds), but non-native species have become more common while native species have remained stable. Results from this study can be used to inform conservation management of forest birds in Saipan and contribute to a broader understanding of forest bird status in the Marianas.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2024.e03273","usgsCitation":"Bak, T., Mullin, S., Kohler, E., Eichelberger, B.A., and Camp, R.J., 2025, Forest bird population status on Saipan, a small oceanic island: Global Ecology and Conservation, v. 56, e03273, 13 p., https://doi.org/10.1016/j.gecco.2024.e03273.","productDescription":"e03273, 13 p.","ipdsId":"IP-153479","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":488557,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2024.e03273","text":"Publisher Index Page"},{"id":484243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Commonwealth of the Mariana Islands","otherGeospatial":"Saipan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              145.8423113862238,\n              15.30056214843205\n            ],\n            [\n              145.67365039456445,\n              15.30056214843205\n            ],\n            [\n              145.67365039456445,\n              15.084843679787\n            ],\n            [\n              145.8423113862238,\n              15.084843679787\n            ],\n            [\n              145.8423113862238,\n              15.30056214843205\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"56","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bak, Trevor","contributorId":292157,"corporation":false,"usgs":false,"family":"Bak","given":"Trevor","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":932774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mullin, Steve","contributorId":353061,"corporation":false,"usgs":false,"family":"Mullin","given":"Steve","affiliations":[{"id":84333,"text":"Commonwealth of the Northern Mariana Islands, Department of Lands & Natural Resources, Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":932775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kohler, Emilie","contributorId":353062,"corporation":false,"usgs":false,"family":"Kohler","given":"Emilie","affiliations":[{"id":84333,"text":"Commonwealth of the Northern Mariana Islands, Department of Lands & Natural Resources, Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":932776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eichelberger, Bradley A. 0000-0002-7208-3437","orcid":"https://orcid.org/0000-0002-7208-3437","contributorId":224634,"corporation":false,"usgs":false,"family":"Eichelberger","given":"Bradley","email":"","middleInitial":"A.","affiliations":[{"id":40899,"text":"Division of Fish and Wildlife, Department of Lands and Natural Resources, Saipan, CNMI","active":true,"usgs":false}],"preferred":false,"id":932777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":932778,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70260814,"text":"70260814 - 2025 - Edge effects along roadside fuel treatments in sagebrush steppe","interactions":[],"lastModifiedDate":"2024-12-10T15:34:48.363233","indexId":"70260814","displayToPublicDate":"2024-10-22T06:48:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Edge effects along roadside fuel treatments in sagebrush steppe","docAbstract":"<p>Increasing wildfire has motivated the construction of fuel breaks on many rangelands to improve prospects for wildfire suppression. However, the linear shape of fuel breaks greatly increases treatment perimeter: area and thus increased potential for edge effects, e.g., invasions by exotic plants. Potential for edge effects are further increased by the disturbances associated with fuel-break implementation. Fire risk in perennial-dominated and sagebrush-steppe rangelands are increased by exotic species, such as cheatgrass and other associated annuals, and therefore invasions after fuel-break implementation are problematic, yet have rarely been evaluated. Abundances of dominant invaders, cheatgrass and Russian thistle, were measured along treated and neighboring untreated edges in 40 paired plots along ∼61 km of 60-m wide fuel breaks. Fuel breaks were constructed using a variety of shrub-cutting and herbicide applications 1–4 yr before measurement. Generalized linear mixed effect models revealed that fractional cover significantly increased in treated compared with untreated areas by 0.02–0.12 for cheatgrass and 0–0.06 for Russian thistle within 9 m of treatment boundaries (on a scale of 0-1). We neither detected increased invasion in adjacent and untreated areas nor gradients of increasing invasion with proximity to treatment boundaries. Although these findings reveal invasions that were otherwise undetected across the entire 60 m width of fuel breaks, invasion levels did not surpass nominal management thresholds for fire behavior or risk of conversion to annual grasslands.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.08.031","usgsCitation":"Price, S.J., Germino, M., and Watt, C.R., 2025, Edge effects along roadside fuel treatments in sagebrush steppe: Rangeland Ecology and Management, v. 98, p. 155-159, https://doi.org/10.1016/j.rama.2024.08.031.","productDescription":"5 p.","startPage":"155","endPage":"159","ipdsId":"IP-164496","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":463846,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Price, Samuel J. 0000-0003-4172-4139","orcid":"https://orcid.org/0000-0003-4172-4139","contributorId":297001,"corporation":false,"usgs":true,"family":"Price","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watt, Chloe Rose 0009-0008-3238-1764","orcid":"https://orcid.org/0009-0008-3238-1764","contributorId":345937,"corporation":false,"usgs":true,"family":"Watt","given":"Chloe","email":"","middleInitial":"Rose","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918189,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70258803,"text":"70258803 - 2025 - eZ flow metrics: Using z-scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam","interactions":[],"lastModifiedDate":"2025-02-24T16:41:23.919215","indexId":"70258803","displayToPublicDate":"2024-08-08T08:55:34","publicationYear":"2025","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":"eZ flow metrics: Using z-scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam","docAbstract":"<p><span>River flow patterns are primary drivers of lotic ecosystems, and hundreds of metrics have been developed to quantify flow attributes. Although existing metrics have been a powerful tool in designing environmental flows, they are often developed with specific resources in mind and are rarely directly comparable with each other (i.e., units are often different). Here, we focus on natural flows as the resource of interest and develop z-score metrics that measure the naturalness of regulated flows, incorporating natural means and interannual variation. These “eZ metrics” summarize whole year, subdaily, and functional flow patterns as standard deviations from natural such that their values are directly comparable. We illustrate their utility with a case study from the Colorado River downstream of Glen Canyon Dam in Arizona, USA. We calculated metrics for 1964–2022, spanning greater than 5 decades of changing water policy, hydropower generation, and flow experimentation. We evaluate four options for estimating natural baseline flows. Across metrics, we found that subdaily stage variation deviated the most from baseline. Flows to satisfy regional water policy and power demands altered metrics more than designer flows (which target specific resource outcomes), and years with low water releases were closest to natural. Most of the designer flows have not made flow patterns more natural, due to incorrect seasonal timing, small magnitude, or short duration. By explicitly considering interannual variability and quantifying how regulated flows differ from natural using standard deviations, these metrics can inform management when the goal is to restore a natural flow regime.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4360","usgsCitation":"Palmquist, E.C., Deemer, B., Metcalfe, A., Kennedy, T., Bair, L., Fairley, H.C., Grams, P.E., Sankey, J., and Yackulic, C., 2025, eZ flow metrics: Using z-scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam: River Research and Applications, v. 41, no. 2, p. 252-267, https://doi.org/10.1002/rra.4360.","productDescription":"16 p.","startPage":"252","endPage":"267","ipdsId":"IP-162395","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":462279,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466969,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4360","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"Colorado River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.25997021967751,\n              44.61646777996336\n            ],\n            [\n              -117.9935707165599,\n              44.61646777996336\n            ],\n            [\n              -117.9935707165599,\n              31.561618648031384\n            ],\n            [\n              -107.25997021967751,\n              31.561618648031384\n            ],\n            [\n              -107.25997021967751,\n              44.61646777996336\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metcalfe, Anya 0000-0002-6286-4889","orcid":"https://orcid.org/0000-0002-6286-4889","contributorId":221738,"corporation":false,"usgs":true,"family":"Metcalfe","given":"Anya","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Theodore 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":221741,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914087,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fairley, Helen C. 0000-0001-6151-4804 hfairley@usgs.gov","orcid":"https://orcid.org/0000-0001-6151-4804","contributorId":3040,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen","email":"hfairley@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":914089,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914090,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914091,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914092,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70240684,"text":"70240684 - 2025 - Can big data inform invasive dreissenid mussel risk assessments of habitat suitability?","interactions":[],"lastModifiedDate":"2025-02-11T15:38:29.891089","indexId":"70240684","displayToPublicDate":"2023-02-14T07:00:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Can big data inform invasive dreissenid mussel risk assessments of habitat suitability?","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section c-article-content-visibility\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Invasion risk assessments of habitat suitability provide insight on early detection effort allocation; however, sufficient data are rarely available to inform assessments. We explored tradeoffs of leveraging big data from the National Water Quality Portal (WQP), a standardized water quality database in the United States, to inform calcium- and pH-based risk assessments of invasive mussel (<i>Dreissena polymorpha</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Dreissena rostriformis bugensis</i>) habitat suitability in the Pacific Northwest’s Columbia River Basin. We evaluated risk assessment sensitivity to alternative metrics of summarizing WQP data, tested if the large number of WQP observations resulted in accurate risk prediction of sites lacking WQP data, and characterized the spatial distribution of suitable habitat. Risk assessments were insensitive to how data were summarized at a site. Predictive accuracy was low when interpolating risk to sites lacking data. High-risk sites based on calcium clustered in two water basins, whereas high-risk sites based on pH were at similarly high frequencies. Finally, we found that data gaps still exist in the Columbia River Basin despite the large volumes of WQP data. We conclude that WQP-based risk assessments of habitat suitability could&nbsp;be considered as a starting place for estimating dreissenid invasion risk within an adaptive framework,&nbsp;rather than as a final solution.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10750-023-05156-z","usgsCitation":"Sepulveda, A., Gage, J.A., Counihan, T., and Prisciandaro, A., 2025, Can big data inform invasive dreissenid mussel risk assessments of habitat suitability?: Hydrobiologia, v. 852, p. 1153-1164, https://doi.org/10.1007/s10750-023-05156-z.","productDescription":"12 p.; 2 Data Releases","startPage":"1153","endPage":"1164","ipdsId":"IP-142266","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":435457,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1PSE4TD","text":"USGS data release","linkHelpText":"Environmental DNA qPCR detection results and covariates from Idaho, Missouri, Montana, and New York rivers sampled in 2023"},{"id":435456,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OTVP7K","text":"USGS data release","linkHelpText":"Columbia River Basin calcium and pH data accessed on 2022 March 31 for dreissenid mussel risk assessments"},{"id":413099,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"852","noUsgsAuthors":false,"publicationDate":"2023-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":864292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gage, Joshua A.","contributorId":255726,"corporation":false,"usgs":false,"family":"Gage","given":"Joshua","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":864293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Counihan, Timothy D. 0000-0003-4967-6514","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":207532,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":864294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prisciandaro, Anthony F.","contributorId":302386,"corporation":false,"usgs":false,"family":"Prisciandaro","given":"Anthony F.","affiliations":[{"id":27228,"text":"Reclamation","active":true,"usgs":false}],"preferred":false,"id":864295,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270709,"text":"70270709 - 2024 - The endangered Caney Mountain cave crayfish: A preliminary study of its habitat with brief life history notes","interactions":[],"lastModifiedDate":"2025-08-22T16:04:03.7593","indexId":"70270709","displayToPublicDate":"2024-12-31T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5290,"text":"Freshwater Crayfish","active":true,"publicationSubtype":{"id":10}},"title":"The endangered Caney Mountain cave crayfish: A preliminary study of its habitat with brief life history notes","docAbstract":"<p>The stygobitic Caney Mountain cave crayfish, <i>Orconectes stygocaneyi</i>, is among the rarest crayfish species in North America. It is known only from Mud Cave, a small linear cave on the 3,200 ha Caney Mountain Conservation Area in Ozark County, Missouri. The species is listed as “Endangered” by the state of Missouri, and “Threatened” by the American Fisheries Society. Previous studies documented its population range and limited life history notes; but little is known about Mud Cave’s habitat. We conducted a one-year study to document the cave’s water chemistry, quality, and interior wetted pool volume, and how this habitat varies monthly, to establish a baseline for future study.</p>","language":"English","publisher":"International Association of Astacology","doi":"10.5869/fc.2024.v29-1.121","collaboration":"Missouri Department of Conservation","usgsCitation":"Ellingsworth, E.A., DiStefano, R., Westhoff, J.T., and O'Brian, B., 2024, The endangered Caney Mountain cave crayfish: A preliminary study of its habitat with brief life history notes: Freshwater Crayfish, v. 29, no. 1, p. 121-132, https://doi.org/10.5869/fc.2024.v29-1.121.","productDescription":"12 p.","startPage":"121","endPage":"132","ipdsId":"IP-166086","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","county":"Ozark County","otherGeospatial":"Caney Mountain Conservation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.45151688083625,\n              36.66449702263134\n            ],\n            [\n              -92.45151688083625,\n              36.625266091515115\n            ],\n            [\n              -92.40079722946713,\n              36.625266091515115\n            ],\n            [\n              -92.40079722946713,\n              36.66449702263134\n            ],\n            [\n              -92.45151688083625,\n              36.66449702263134\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"29","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Ellingsworth, Emila A.","contributorId":360156,"corporation":false,"usgs":false,"family":"Ellingsworth","given":"Emila","middleInitial":"A.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":946864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiStefano, R.J.","contributorId":360159,"corporation":false,"usgs":false,"family":"DiStefano","given":"R.J.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":946865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westhoff, Jacob Thomas 0000-0002-2347-5098","orcid":"https://orcid.org/0000-0002-2347-5098","contributorId":288958,"corporation":false,"usgs":true,"family":"Westhoff","given":"Jacob","email":"","middleInitial":"Thomas","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Brian, B.M.","contributorId":360164,"corporation":false,"usgs":false,"family":"O'Brian","given":"B.M.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":946867,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274212,"text":"70274212 - 2024 - Community synchrony in seed production is associated with trait similarity and climate across North America","interactions":[],"lastModifiedDate":"2026-03-13T15:03:12.321279","indexId":"70274212","displayToPublicDate":"2024-12-31T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Community synchrony in seed production is associated with trait similarity and climate across North America","docAbstract":"Mast seeding, the synchronous and highly variable production of seed crops in perennial plants, is a population level phenomenon and has cascading effects in ecosystems. Mast seeding studies are typically conducted at the population/species level. Much less is known about synchrony in mast seeding between species because the necessary long-term data are rarely available. To investigate synchrony between species within communities, we used long-term data from seven forest communities in the US Long-Term Ecological Research (LTER) network, ranging from tropical rainforest to taiga. We focus on cross-species synchrony and i) quantify synchrony in reproduction overall and within LTER sites, ii) test for relationships between synchrony with trait and phylogenetic similarity, and iii) investigate how climate conditions are related to levels of synchrony. Overall, synchrony in reproduction between woody plant species was greater than expected by chance, but also spanned a wide range of values between species. Based on 11 traits for 103 species (plus phylogenetic relatedness), cross-species synchrony in reproduction was driven primarily by trait similarity with phylogeny being largely unimportant, and synchrony was higher in sites with greater climatic water deficit. Synchronous masting within a community has consequences for understanding forest regeneration dynamics and consumer-resource interactions.","language":"English","publisher":"Wiley","doi":"10.1111/ele.14498","usgsCitation":"LaMontagne, J.M., Greene, D.F., Holland, E., Johnstone, J.F., Schulze, M., Zimmerman, J.K., Lyon, N.J., Chen, A., Miller, T.E., Nigro, K.M., Snell Rebecca S., Barton, J.H., Chaudhary, V., Cleavitt, N.L., Crone, E., Koenig, W.D., Macias, D., Pearse, I.S., and Redmond, M.D., 2024, Community synchrony in seed production is associated with trait similarity and climate across North America: Ecology Letters, v. 27, no. 12, e14498, 15 p., https://doi.org/10.1111/ele.14498.","productDescription":"e14498, 15 p.","ipdsId":"IP-162505","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501361,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.14498","text":"Publisher Index Page"},{"id":501146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","otherGeospatial":"North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -174.57469846241375,\n              59.07732223048754\n            ],\n            [\n              -132.94118629888828,\n              46.634323740727496\n            ],\n            [\n              -102.87615155066331,\n              14.159655778644463\n            ],\n            [\n              -86.60507271467972,\n              18.528872570028568\n            ],\n            [\n              -76.70651169792454,\n              26.155075649047504\n            ],\n            [\n              -55.08810680677202,\n              45.22442345962252\n            ],\n            [\n              -93.39098226670879,\n              53.00878959626715\n            ],\n            [\n              -134.4869880449841,\n              65.05021822139254\n            ],\n            [\n              -154.62493341933438,\n              66.11219190375385\n            ],\n            [\n              -174.57469846241375,\n              59.07732223048754\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"27","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"LaMontagne, Jalene M.","contributorId":223096,"corporation":false,"usgs":false,"family":"LaMontagne","given":"Jalene","middleInitial":"M.","affiliations":[{"id":36623,"text":"DePaul University","active":true,"usgs":false}],"preferred":false,"id":957043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greene, David F.","contributorId":302454,"corporation":false,"usgs":false,"family":"Greene","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":957044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holland, E. 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