{"pageNumber":"102","pageRowStart":"2525","pageSize":"25","recordCount":185143,"records":[{"id":70264370,"text":"ofr20231066 - 2025 - Biodiversity surveys of Wake Atoll—Featuring field guides for plants, arthropods, and herpetofauna","interactions":[],"lastModifiedDate":"2025-03-28T18:22:43.108629","indexId":"ofr20231066","displayToPublicDate":"2025-03-17T11:28:17","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1066","displayTitle":"Biodiversity Surveys of Wake Atoll—Featuring Field Guides for Plants, Arthropods, and Herpetofauna","title":"Biodiversity surveys of Wake Atoll—Featuring field guides for plants, arthropods, and herpetofauna","docAbstract":"<h1>Introduction</h1><p>The U.S. Air Force (USAF) issued funds to the U.S. Geological Survey (USGS) to update the biosecurity plan, create a current (2019) flora and fauna species identification index, and do container evaluations for the presence of potential invasives. The current (2019) biosecurity protocols used for prevention were evaluated, and new biodiversity surveys were completed for terrestrial vegetation and arthropods and included the first formal reptile surveys. Results from field efforts add to existing knowledge and may identify new species arrivals to Wake.</p><p>One goal of this project was to update and compile established species information for the atoll and create species identification guides for the three taxonomic groups surveyed. We made these flora and fauna species identification guides by compiling results of the recent (2019) and historical surveys. The guides can be used as resident desktop references, as a baseline for assessing future natural resource surveys, and to assist with guiding management actions. We refer herein to biosecurity and integrated pest management plan materials, which we created simultaneously to inform current (2019) biosecurity and to identify some of the top invasive species at Wake. This study was done in cooperation with the USAF, and surveys were performed for the 611th Civil Engineer Squadron Natural Resources Program, ACES PROJECT #YGFZ170002 under agreement number F2MUAA7116GW02 between the USAF and the USGS Western Ecological Research Center.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231066","collaboration":"Prepared in cooperation with the U.S. Air Force","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Hathaway, S.A., Jacobi, J.D., Peck, R., Backlin, A.R., Hitchcock, C.J., and Fisher, R.N., 2025, Biodiversity surveys of Wake Atoll—Featuring field guides for plants, arthropods, and herpetofauna: U.S. Geological Survey Open-File Report 2023–1066, 302 p., https://doi.org/10.3133/ofr20231066.","productDescription":"x, 302 p.","onlineOnly":"Y","ipdsId":"IP-148006","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":483291,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1066/ofr20231066.pdf","text":"Report","size":"50 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":483290,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1066/coverthb.jpg"},{"id":483539,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2023/1066/ofr20231066_appD.pdf","text":"Appendix D","size":"8.4 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Appendix D"},{"id":483536,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1066/images"},{"id":483538,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2023/1066/ofr20231066_appC.pdf","text":"Appendix C","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Appendix C"},{"id":483537,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2023/1066/ofr20231066_appB.pdf","text":"Appendix B","size":"25 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Appendix B"},{"id":483535,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1066/ofr20231066.XML","text":"Publication XML","description":"OFR 2023-1066 XML"},{"id":483534,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231066/full","text":"HTML Document","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1066 HTML"}],"otherGeospatial":"Wake Atoll","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              166.59276583707504,\n              19.326906091735026\n            ],\n            [\n              166.59276583707504,\n              19.26205981718492\n            ],\n            [\n              166.6614711000633,\n              19.26205981718492\n            ],\n            [\n              166.6614711000633,\n              19.326906091735026\n            ],\n            [\n              166.59276583707504,\n              19.326906091735026\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Chapter A. 2019 Wake Atoll Biodiversity Surveys Overview</li><li>Chapter B. Wake Atoll 2019 Plant Species Survey Report and Field Guide</li><li>Appendix B1. Plant Species Recorded from Wake Atoll in 2019</li><li>Appendix B2. Plant Field Guide to Wake Atoll</li><li>Appendix B3. Plant Specimens Collected on Wake Atoll in 2019</li><li>Chapter C. Wake Atoll 2019 Arthropod Species Survey Report and Field Guide</li><li>Appendix C1. Arthropod Field Guide to Wake Atoll</li><li>Chapter D. Wake Atoll 2019 Terrestrial Reptile Species Survey Report and Field Guide</li><li>Appendix D1. U.S. Geological Survey 2019 Reptile Survey Locations and Results</li><li>Appendix D2. Reptile Specimens Collected by U.S. Geological Survey at Wake Atoll in 2019</li><li>Appendix D3. Field Guide to the Herpetofuana of Wake Atoll</li><li>Supplemental D.1. Example Species Observation Data Sheet</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2025-03-17","noUsgsAuthors":false,"publicationDate":"2025-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Hathaway, Stacie A. 0000-0002-4167-8059","orcid":"https://orcid.org/0000-0002-4167-8059","contributorId":206793,"corporation":false,"usgs":true,"family":"Hathaway","given":"Stacie","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":930551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","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":930552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Robert 0000-0002-8739-9493","orcid":"https://orcid.org/0000-0002-8739-9493","contributorId":83027,"corporation":false,"usgs":true,"family":"Peck","given":"Robert","email":"","affiliations":[],"preferred":false,"id":930553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":930554,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hitchcock, Cynthia J. 0000-0001-9293-043X","orcid":"https://orcid.org/0000-0001-9293-043X","contributorId":57389,"corporation":false,"usgs":true,"family":"Hitchcock","given":"Cynthia J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":930988,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":930556,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70264525,"text":"sir20255007 - 2025 - A model uncertainty quantification protocol for evaluating the value of observation data","interactions":[],"lastModifiedDate":"2025-07-23T17:09:46.818291","indexId":"sir20255007","displayToPublicDate":"2025-03-17T11:20:49","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5007","displayTitle":"A Model Uncertainty Quantification Protocol for Evaluating the Value of Observation Data","title":"A model uncertainty quantification protocol for evaluating the value of observation data","docAbstract":"<p>The history-matching approach to parameter estimation with models enables a powerful offshoot analysis of data worth—using the uncertainty of a model forecast as a metric for the worth of data. Adding observation data will either have no impact on forecast uncertainty or will reduce it. Removing existing data will either have no impact on forecast uncertainty or will increase it. The history-matching framework makes it possible to perform this quantitative analysis leveraging the connections among observations, model parameters, and model forecasts. We show this behavior on a specific groundwater flow model of the Mississippi Alluvial Plain and show where the analysis can be informative for considering the potential design of an observation network based on existing or potential observations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255007","usgsCitation":"Fienen, M.N., Schachter, L.A., and Hunt, R.J., 2025, A model uncertainty quantification protocol for evaluating the value of observation data: U.S. Geological Survey Scientific Investigations Report 2025–5007, 12 p., https://doi.org/10.3133/sir20255007.","productDescription":"vi; 12 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-171702","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":483399,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5007/sir20255007.pdf","text":"Report","size":"7.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025–5007"},{"id":483398,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5007/coverthb.jpg"},{"id":483404,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255007/full","text":"Report"},{"id":483400,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5007/sir20255007.XML","text":"Report","description":"SIR 2025–5007"},{"id":483403,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5007/images"},{"id":492790,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118495.htm","linkFileType":{"id":5,"text":"html"}}],"contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/umid-water\" href=\"https://www.usgs.gov/centers/umid-water\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>1 Gifford Pinchot Drive<br>Madison, Wisconsin 53726</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope </li><li>A Note on Software Packages Used</li><li>Background Mathematics</li><li>Linear Uncertainty Methods—Three Main Approaches</li><li>Results of Analysis in the Mississippi Alluvial Plain Using Linear Uncertainty Methods</li><li>Limitations and Lessons Learned </li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-03-17","noUsgsAuthors":false,"publicationDate":"2025-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":171511,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael","email":"mnfienen@usgs.gov","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schachter, Laura A. 0000-0001-7012-0081 lschachter@usgs.gov","orcid":"https://orcid.org/0000-0001-7012-0081","contributorId":304706,"corporation":false,"usgs":true,"family":"Schachter","given":"Laura","email":"lschachter@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930794,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264821,"text":"70264821 - 2025 - Mortality events in Yuma myotis (Myotis yumanensis) due to white-nose syndrome in Washington, USA","interactions":[],"lastModifiedDate":"2025-05-29T13:12:18.023059","indexId":"70264821","displayToPublicDate":"2025-03-17T10:48:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mortality events in Yuma myotis (<i>Myotis yumanensis</i>) due to white-nose syndrome in Washington, USA","title":"Mortality events in Yuma myotis (Myotis yumanensis) due to white-nose syndrome in Washington, USA","docAbstract":"<p><span>The impacts of white-nose syndrome (WNS) on many bat species in eastern North America have been well documented because of the length of time that the causative agent,&nbsp;</span><i>Pseudogymnoascus destructans</i><span>&nbsp;(</span><i>Pd</i><span>), has been present and the ability to monitor bat hibernacula in that region. However, the disease outcomes for bat species in western North America are less known because of the more recent arrival of&nbsp;</span><i>Pd</i><span>&nbsp;and the challenges associated with monitoring hibernating bat populations in parts of the western US. We report on mortality events involving Yuma myotis (</span><i>Myotis yumanensis</i><span>) bats at two locations in King and Benton counties, Washington, US, that were attributed to WNS during the late winters of 2020–21 and 2024, respectively. All bats that were grossly examined had depleted subcutaneous white adipose tissue, tested positive for the presence of&nbsp;</span><i>Pd</i><span>, had histopathologic lesions consistent with WNS, and did not exhibit evidence of other disease processes that may have contributed to death. Mortality was likely higher than what was documented because the locations of the&nbsp;</span><i>Pd</i><span>-contaminated hibernacula from which the bats originated were inaccessible or unknown and thus could not be surveyed. These findings indicate that Yuma myotis may be highly susceptible to WNS, and close monitoring is warranted to understand how WNS will affect population trends in this (and other) western bat species.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-24-00125","usgsCitation":"Lorch, J., Tobin, A., Argue, A., Shearn-Bochsler, V.I., Berlowski-Zier, B.M., George, K., Haman, K.H., and Ballmann, A., 2025, Mortality events in Yuma myotis (Myotis yumanensis) due to white-nose syndrome in Washington, USA: Journal of Wildlife Diseases, v. 61, no. 2, p. 509-514, https://doi.org/10.7589/JWD-D-24-00125.","productDescription":"6 p.","startPage":"509","endPage":"514","ipdsId":"IP-167986","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":483883,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":true,"usgs":true}],"preferred":true,"id":931975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":931976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berlowski-Zier, Brenda M. 0000-0002-7922-8352 bberlowski-zier@usgs.gov","orcid":"https://orcid.org/0000-0002-7922-8352","contributorId":4288,"corporation":false,"usgs":true,"family":"Berlowski-Zier","given":"Brenda","email":"bberlowski-zier@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":931977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"George, Kyle 0000-0001-9898-4236 kgeorge@usgs.gov","orcid":"https://orcid.org/0000-0001-9898-4236","contributorId":173441,"corporation":false,"usgs":true,"family":"George","given":"Kyle","email":"kgeorge@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":931978,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haman, Katherine H.","contributorId":173443,"corporation":false,"usgs":false,"family":"Haman","given":"Katherine","email":"","middleInitial":"H.","affiliations":[{"id":27230,"text":"Washington Department of  Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":931979,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":931980,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70267350,"text":"70267350 - 2025 - Predicting pup-rearing habitat for Mexican wolves","interactions":[],"lastModifiedDate":"2025-06-23T15:23:29.362572","indexId":"70267350","displayToPublicDate":"2025-03-17T10:19:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Predicting pup-rearing habitat for Mexican wolves","docAbstract":"<p><span>Population monitoring is essential to document recovery efforts for threatened and endangered species. Mexican wolves (</span><i>Canis lupus baileyi</i><span>) are an endangered subspecies of gray wolves that historically occupied large portions of the American Southwest and Mexico. Recently, the Mexican wolf population in the United States has been growing rapidly and traditional approaches for population monitoring (e.g., capture and radio collaring) are becoming difficult and expensive as wolves expand into new areas. We developed predictive models of pup-rearing habitat (i.e., den and rendezvous sites) that could help guide future population monitoring efforts. We located 255 den sites and 129 rendezvous sites in Arizona and New Mexico, USA (1998–2023) using tracking collars and site visits. We sampled habitat conditions in wolf-occupied regions of Arizona and New Mexico and fit logistic regressions to these data following a use–available study design to estimate resource selection functions (RSF) for den and rendezvous sites. We hypothesized wolves would select areas that offered greater physical protection, lower human-disturbance, and access to reliable water sources for pup-rearing but that the relative importance of these features would differ between the denning and rendezvous site seasons. Mexican wolves selected den sites at higher elevations in steeper and rougher terrain that were closer to permanent waterbodies but farther from rural roads. Selection of rendezvous sites was also associated with higher elevations and proximity to waterbodies but varied with availability of green leaf biomass on the landscape. While still highly predictive, our rendezvous site model was less predictive than our den model (Spearman's correlation averaged 0.81 [SE = 0.05] vs. 0.90 [SE = 0.03], respectively), possibly because water and green leaf biomass are more spatially diffuse and variable because of monsoonal rains during the rendezvous site season. Our results suggest that terrain features associated with physical protection and access to reliable water were most important in characterizing suitable pup-rearing habitat for Mexican wolves. By predicting suitable den and rendezvous site habitat across portions of the Mexican Wolf Experimental Population Area, our models can help guide future population monitoring by reducing the total search area when surveying for wolves and increase the probability of detecting all members of a pack.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70017","usgsCitation":"Bassing, S., Oakleaf, J., Cain, J.W., Greenleaf, A., Gardner, C., and Ausband, D.E., 2025, Predicting pup-rearing habitat for Mexican wolves: Journal of Wildlife Management, v. 89, no. 5, e70017, 19 p., https://doi.org/10.1002/jwmg.70017.","productDescription":"e70017, 19 p.","ipdsId":"IP-169774","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486238,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":488960,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70017","text":"Publisher Index Page"}],"country":"United States","state":"Arizona, New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.15656068155297,\n              37.15236143729469\n            ],\n            [\n              -114.79334387076136,\n              36.19839033323856\n            ],\n            [\n              -114.82092420356022,\n              32.28431539821898\n            ],\n            [\n              -111.22371663071222,\n              31.529018437535207\n            ],\n            [\n              -108.37781874007106,\n              31.259432273304338\n            ],\n            [\n              -108.00163404937481,\n              31.805280742585737\n            ],\n            [\n              -103.03648352957026,\n              31.93273826397835\n            ],\n            [\n              -103.13422840316065,\n              37.15236143729469\n            ],\n            [\n              -114.15656068155297,\n              37.15236143729469\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Bassing, Sarah B.","contributorId":355638,"corporation":false,"usgs":false,"family":"Bassing","given":"Sarah B.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":937834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oakleaf, John K.","contributorId":355639,"corporation":false,"usgs":false,"family":"Oakleaf","given":"John K.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":937835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":937836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greenleaf, Allison R.","contributorId":355640,"corporation":false,"usgs":false,"family":"Greenleaf","given":"Allison R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":937837,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Colby M.","contributorId":355641,"corporation":false,"usgs":false,"family":"Gardner","given":"Colby M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":937838,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":937839,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265779,"text":"70265779 - 2025 - A 700-year rupture sequence of great eastern Aleutian earthquakes from tsunami modeling of stratigraphic records","interactions":[],"lastModifiedDate":"2025-04-15T15:17:05.760533","indexId":"70265779","displayToPublicDate":"2025-03-17T10:11:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"A 700-year rupture sequence of great eastern Aleutian earthquakes from tsunami modeling of stratigraphic records","docAbstract":"<p><span>Great Aleutian underthrusting earthquakes produced destructive tsunamis impacting Hawaiʻi in 1946 and 1957. Prior modeling of the 1957 tsunami deposit and runup records on eastern Aleutian and Hawaiian Islands jointly with tide-gauge observations across the Pacific Ocean constrained a rupture model with shallow slip up to 26 m along 600 km of the plate boundary. Here we implement this modeling approach to older deposits and show alternating deep and shallow megathrust slip up to 26, 32, and 22 m for great earthquakes along the same segment in the 18</span><sup>th</sup><span>, 15</span><sup>th</sup><span>, and 14</span><sup>th</sup><span>&nbsp;centuries. All three modeled prehistoric Aleutian earthquakes produce tsunami inundation in Hawaiʻi with the most severe, 14</span><sup>th</sup><span>&nbsp;century event having impacts exceeding the 1957 event. The along-dip variability of these four ruptures spanning seven centuries provides insights on earthquake cycles for engineering design and hazard assessment. The 15</span><sup>th</sup><span>&nbsp;century and 1957 rupture models provide evidence for recurrence of tsunami earthquakes, which can produce disproportionately large tsunamis for a given moment magnitude due to reduced rigidity in the shallow megathrust. The 14</span><sup>th</sup><span>&nbsp;and 18</span><sup>th</sup><span>&nbsp;century events likely ruptured deeper regions that did not slip in 1957, suggesting potential for corresponding deeper failure in the next great eastern Aleutian earthquake.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-025-57802-w","usgsCitation":"Yamazaki, Y., Cheung, K.F., Lay, T., La Selle, S., Witter, R., and Jaffe, B., 2025, A 700-year rupture sequence of great eastern Aleutian earthquakes from tsunami modeling of stratigraphic records: Nature Communications, v. 16, 2638, 16 p., https://doi.org/10.1038/s41467-025-57802-w.","productDescription":"2638, 16 p.","ipdsId":"IP-169333","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-025-57802-w","text":"Publisher Index Page"},{"id":484585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Hawaii","otherGeospatial":"Aleutian Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -146.41033794940356,\n              60.59031062994006\n            ],\n            [\n              -179.99,\n              60.59031062994006\n            ],\n            [\n              -179.99,\n              18\n            ],\n            [\n              -146.41033794940356,\n              18\n            ],\n            [\n              -146.41033794940356,\n              60.59031062994006\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              172.7792582818936,\n              55.23104605282941\n            ],\n            [\n              172.7792582818936,\n              48.90879653399284\n            ],\n            [\n              179.99,\n              48.90879653399284\n            ],\n            [\n              179.99,\n              55.23104605282941\n            ],\n            [\n              172.7792582818936,\n              55.23104605282941\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2025-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Yamazaki, Yoshiki","contributorId":216792,"corporation":false,"usgs":false,"family":"Yamazaki","given":"Yoshiki","email":"","affiliations":[{"id":39517,"text":"University of Hawaii at Mano","active":true,"usgs":false}],"preferred":false,"id":933512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cheung, Kwok Fai","contributorId":329690,"corporation":false,"usgs":false,"family":"Cheung","given":"Kwok","email":"","middleInitial":"Fai","affiliations":[{"id":78685,"text":"University of Hawai'i at Manoa","active":true,"usgs":false}],"preferred":false,"id":933513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lay, Thorne","contributorId":328838,"corporation":false,"usgs":false,"family":"Lay","given":"Thorne","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":933514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":933515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":933516,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":335664,"corporation":false,"usgs":false,"family":"Jaffe","given":"Bruce E.","affiliations":[{"id":80462,"text":"former USGS PCMSC employee","active":true,"usgs":false}],"preferred":false,"id":933517,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70264717,"text":"70264717 - 2025 - Climate and dispersal ability limit future habitats for Gila monsters in the Mojave Desert","interactions":[],"lastModifiedDate":"2025-03-20T14:58:11.540958","indexId":"70264717","displayToPublicDate":"2025-03-17T09:50:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Climate and dispersal ability limit future habitats for Gila monsters in the Mojave Desert","docAbstract":"<p><span>Describing future habitat for sensitive species can be helpful in planning conservation efforts to ensure species persistence under new climatic conditions. The Gila monster (</span><i>Heloderma suspectum</i><span>) is an iconic lizard of the southwestern United States. The northernmost range of Gila monsters is the Mojave Desert, an area experiencing rapid human population growth and urban sprawl. To understand current and potential future habitat for Gila monsters in the Mojave Desert, we fit ensemble species distribution models using known locations and current environmental variables known to be important to the species' biology. We then projected future suitable habitat under different climate forecasts based on IPCC emission scenarios. To ensure that Gila monsters would be able to disperse to newly suitable habitat, we fit Brownian Bridge movement models using telemetry data from two locations in Nevada. This model indicated that Gila monsters prefer to move through areas with a moderate slope and higher shrub cover. Modeled current suitable habitat for Gila monsters in Nevada was primarily in rugged bajadas and lower elevations at the bases of mountain ranges. Predictions of potential future habitat suggested that overall habitat suitability through 2082 would remain relatively stable throughout the study area in the lower emissions scenario, but in the high emissions scenario potential habitat is greatly reduced in many lower-elevation areas. Future habitat areas at higher elevations under the high emissions scenario showed moderate increases in suitability, though occupancy would likely be limited by Gila monster dispersal capabilities. Finally, we determined how well the protected area network of our study area encompassed future Gila monster habitat to highlight potential opportunities to protect this important species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71008","usgsCitation":"Hromada, S.J., Jones, J., Stalker, J., Wood, D.A., Vandergast, A.G., Tracy, C.R., Gienger, C., and Nussear, K.E., 2025, Climate and dispersal ability limit future habitats for Gila monsters in the Mojave Desert: Ecology and Evolution, v. 15, e71008, 15 p., https://doi.org/10.1002/ece3.71008.","productDescription":"e71008, 15 p.","ipdsId":"IP-166958","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488343,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71008","text":"Publisher Index Page"},{"id":483582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.33194255435204,\n              37.76713352893536\n            ],\n            [\n              -117.13833621353872,\n              37.76713352893536\n            ],\n            [\n              -117.13833621353872,\n              33.75898076102743\n            ],\n            [\n              -113.33194255435204,\n              33.75898076102743\n            ],\n            [\n              -113.33194255435204,\n              37.76713352893536\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Hromada, Steven J.","contributorId":245147,"corporation":false,"usgs":false,"family":"Hromada","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":931420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Jason L.","contributorId":352480,"corporation":false,"usgs":false,"family":"Jones","given":"Jason L.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":931421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stalker, Jocelyn B.","contributorId":352484,"corporation":false,"usgs":false,"family":"Stalker","given":"Jocelyn B.","affiliations":[{"id":84237,"text":"Austin Peay State University","active":true,"usgs":false}],"preferred":false,"id":931422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":931423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":931424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tracy, C. Richard","contributorId":31515,"corporation":false,"usgs":true,"family":"Tracy","given":"C.","email":"","middleInitial":"Richard","affiliations":[],"preferred":false,"id":931425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gienger, C.M.","contributorId":352486,"corporation":false,"usgs":false,"family":"Gienger","given":"C.M.","affiliations":[{"id":84237,"text":"Austin Peay State University","active":true,"usgs":false}],"preferred":false,"id":931426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nussear, Kenneth E.","contributorId":117361,"corporation":false,"usgs":false,"family":"Nussear","given":"Kenneth","email":"","middleInitial":"E.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":931427,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70264672,"text":"70264672 - 2025 - Ageing of organic materials at the surface of Mars: A Raman study aboard Perseverance","interactions":[],"lastModifiedDate":"2025-03-19T14:53:08.223916","indexId":"70264672","displayToPublicDate":"2025-03-17T09:48:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20082,"text":"Geochemical Perspectives Letters","active":true,"publicationSubtype":{"id":10}},"title":"Ageing of organic materials at the surface of Mars: A Raman study aboard Perseverance","docAbstract":"<p><span>The Perseverance rover is exploring Jezero crater on Mars, one of its goals being to collect samples to be returned to Earth to search for organic remains of ancient Martian life. However, the organic content of these rocks has likely suffered from the radiation environment on the surface of Mars to an extent yet to be quantified. For the first time, a 1000 sols long ageing experiment was conducted at the surface of Mars,&nbsp;</span><i>i.e.</i><span>&nbsp;under actual Martian conditions, relying on the 100 % organic Ertalyte target carried by Perseverance. White at landing, the Ertalyte target has turned brown with time, while its Raman signal changed, with a modification of the background (its maximum has shifted from 1500 to 2000&nbsp;cm</span><sup>−1</sup><span>) and a reduction of the contribution of the Raman signal of Ertalyte (by a factor of 5 over the first 500 sols). Given the intrinsic resistance of the Ertalyte to UV exposure, which is not anticipated for most Martian organic materials, these results suggest that exposure at the surface of Mars will make the detection of Martian organic molecules challenging.</span></p>","language":"English","publisher":"European Association of Geochemistry","doi":"10.7185/geochemlet.2509","usgsCitation":"Bernard, S., Beyssac, O., Manrique, J., Lopez Reyes, G., Ollila, A., Le Mouelic, S., Beck, P., Pilleri, P., Forni, O., Julve-Gonzales, S., Veneranda, M., Reyes Rodriguez, I., Madariaga Mota, J., Aramenda, J., Castro, K., Clave, E., Royer, C., Fornaro, T., Bousquet, B., Sharma, S., Johnson, J., Cloutis, E., Gabriel, T.S., Meslin, P., Gasnault, O., Cousin, A., Wiens, R., and Maurice, S., 2025, Ageing of organic materials at the surface of Mars: A Raman study aboard Perseverance: Geochemical Perspectives Letters, v. 34, p. 25-30, https://doi.org/10.7185/geochemlet.2509.","productDescription":"6 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O.","contributorId":290034,"corporation":false,"usgs":false,"family":"Beyssac","given":"O.","affiliations":[{"id":62313,"text":"Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie, CNRS, Sorbonne Université","active":true,"usgs":false}],"preferred":false,"id":931196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manrique, J.A.","contributorId":352423,"corporation":false,"usgs":false,"family":"Manrique","given":"J.A.","affiliations":[{"id":84216,"text":"ERICA UVa","active":true,"usgs":false}],"preferred":false,"id":931197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopez Reyes, G.","contributorId":352424,"corporation":false,"usgs":false,"family":"Lopez Reyes","given":"G.","affiliations":[{"id":84216,"text":"ERICA UVa","active":true,"usgs":false}],"preferred":false,"id":931198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ollila, 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Bordeaux)","active":true,"usgs":false}],"preferred":false,"id":931213,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Sharma, S.K.","contributorId":296870,"corporation":false,"usgs":false,"family":"Sharma","given":"S.K.","affiliations":[{"id":64208,"text":"Hawaii Institute of Geophysics and Planetology, University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":931214,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Johnson, J.R.","contributorId":296826,"corporation":false,"usgs":false,"family":"Johnson","given":"J.R.","email":"","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":931215,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Cloutis, E.","contributorId":290070,"corporation":false,"usgs":false,"family":"Cloutis","given":"E.","affiliations":[{"id":16930,"text":"University of Winnipeg","active":true,"usgs":false}],"preferred":false,"id":931216,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Gabriel, Travis S.J. 0000-0002-9767-4153","orcid":"https://orcid.org/0000-0002-9767-4153","contributorId":267903,"corporation":false,"usgs":true,"family":"Gabriel","given":"Travis","middleInitial":"S.J.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":931217,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Meslin, P.Y.","contributorId":352430,"corporation":false,"usgs":false,"family":"Meslin","given":"P.Y.","affiliations":[{"id":84221,"text":"IRAP, Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":931218,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Gasnault, Olivier","contributorId":181928,"corporation":false,"usgs":false,"family":"Gasnault","given":"Olivier","affiliations":[],"preferred":false,"id":931219,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Cousin, A.","contributorId":290035,"corporation":false,"usgs":false,"family":"Cousin","given":"A.","affiliations":[{"id":62314,"text":"Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse","active":true,"usgs":false}],"preferred":false,"id":931220,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Wiens, R. 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,{"id":70269260,"text":"70269260 - 2025 - Stable C and N isotope analyses redefine cisco as pelagic piscivores in Lake Michigan","interactions":[],"lastModifiedDate":"2025-07-17T14:36:13.584237","indexId":"70269260","displayToPublicDate":"2025-03-17T09:31:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Stable C and N isotope analyses redefine cisco as pelagic piscivores in Lake Michigan","docAbstract":"<p><span>Lake Michigan’s cisco (</span><i>Coregonus artedi</i><span>) population is in the midst of an expansion (2011-present) recovering from near extirpation levels observed in the 1970&nbsp;s. Strong evidence of piscivory derived from observed diet analyses suggests the population may occupy a unique trophic position relative to typical expectations for the species. To verify these observations, cisco and their prey were collected from 2017 to 2020 for stable C and N isotope analyses. Leveraging existing stable isotope datasets for Lake Michigan, the trophic position of cisco was assessed by quantifying the isotopic niche space occupied relative to common salmonine piscivores and prey fish species. Diet mixing models were constructed to estimate the relative importance of potential prey sources to cisco diets. Results suggested that cisco occupied an isotopic niche similar to Pacific salmonines (</span><i>Oncorhynchus</i><span>&nbsp;spp.) and brown trout (</span><i>Salmo trutta</i><span>) that are mainly piscivorous. Conversely, there was low isotopic niche overlap with prey fish species that are mainly planktivorous. Mixing models suggest greater reliance on pelagic prey sources (including alewife&nbsp;</span><i>Alosa pseudoharengus</i><span>&nbsp;and&nbsp;</span><i>Bythotrephes longimanus</i><span>) in cisco diets when compared with observations of stomach contents. Under the present ecological conditions in Lake Michigan, it appears that adult cisco in this population occupy the trophic role of a pelagic piscivore.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102504","usgsCitation":"Turschak, B., Smith, J., Breaker, B.S., Bronte, C.R., Bunnell, D., Jonas, J., Kornis, M., LaFaver, C., Pangle, K., and Bootsma, H.A., 2025, Stable C and N isotope analyses redefine cisco as pelagic piscivores in Lake Michigan: Journal of Great Lakes Research, v. 51, no. 2, 102504, 11 p., https://doi.org/10.1016/j.jglr.2024.102504.","productDescription":"102504, 11 p.","ipdsId":"IP-166874","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":492419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n  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,{"id":70273260,"text":"70273260 - 2025 - Optimizing sampling across transect-based methods improves the power of agroecological monitoring data","interactions":[],"lastModifiedDate":"2025-12-29T15:30:48.878215","indexId":"70273260","displayToPublicDate":"2025-03-17T09:25:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing sampling across transect-based methods improves the power of agroecological monitoring data","docAbstract":"<p><span>Transect-based monitoring has long been a valuable tool in ecosystem monitoring to measure multiple ecosystem attributes. The line-point intercept (LPI), vegetation height, and canopy gap intercept methods comprise a set of core methods, which provide indicators of ecosystem condition. However, users often struggle to design a sampling strategy that optimizes the ability to detect ecological change using transect-based methods. We assessed the sensitivity of each of these core methods to transect length, number, and sampling interval in 1-ha plots to determine: (1) minimum sampling required to describe ecosystem characteristics and detect change; and (2) optimal transect length and number to make recommendations for future analyses and monitoring efforts. We used data from 13 National Wind Erosion Research Network locations, including five LTAR sites, spanning the western United States, which included 151 plot sampling events over time across five biomes. We found that longer and increased replicates of transects were more important for reducing sampling error than increased sample intensity along fewer transects per plot. For all methods and indicators across biomes plots, three 100-m transects reduced sampling error such that indicator estimates fell within a 95% confidence interval of&nbsp;±5% for canopy gap intercept and LPI-total foliar cover,&nbsp;±5&nbsp;cm for height, and&nbsp;±2 species for LPI-species counts. For the same criteria at 80% confidence intervals, two 100-m transects are needed. Site-scale inference was strongly affected by sample design, consequently our understanding of ecological dynamics may be influenced by sampling decisions.</span></p>","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/jeq2.20678","usgsCitation":"McCord, S.E., Webb, N.P., Van Zee, J.W., Courtright, E.M., Billings, B., Duniway, M.C., Edwards, B.L., Kachergis, E., Moriasi, D.N., Morra, B., Nafus, A., Newingham, B.A., Scott, D.A., and Toledo, D., 2025, Optimizing sampling across transect-based methods improves the power of agroecological monitoring data: Journal of Environmental Quality, v. 54, no. 3, p. 706-719, https://doi.org/10.1002/jeq2.20678.","productDescription":"14 p.","startPage":"706","endPage":"719","ipdsId":"IP-170564","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498293,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20678","text":"Publisher Index Page"},{"id":498101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.0289560089564,\n              48.97409076449233\n            ],\n            [\n              -121.35700711516505,\n              48.97409076449233\n            ],\n            [\n              -121.35700711516505,\n              31.451111657107248\n            ],\n            [\n              -97.0289560089564,\n              31.451111657107248\n            ],\n            [\n              -97.0289560089564,\n              48.97409076449233\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"54","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"McCord, Sarah E.","contributorId":364571,"corporation":false,"usgs":false,"family":"McCord","given":"Sarah","middleInitial":"E.","affiliations":[{"id":79445,"text":"USDA-ARS Jornada Experimental Range, PO Box 30003, MSC 3JER, Las Cruces, NM, 88003, USA","active":true,"usgs":false}],"preferred":false,"id":952900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Nicholas P.","contributorId":364574,"corporation":false,"usgs":false,"family":"Webb","given":"Nicholas","middleInitial":"P.","affiliations":[{"id":79445,"text":"USDA-ARS Jornada Experimental Range, PO Box 30003, MSC 3JER, Las Cruces, NM, 88003, USA","active":true,"usgs":false}],"preferred":false,"id":952901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Zee, Justin W.","contributorId":364577,"corporation":false,"usgs":false,"family":"Van Zee","given":"Justin","middleInitial":"W.","affiliations":[{"id":79445,"text":"USDA-ARS Jornada Experimental Range, PO Box 30003, MSC 3JER, Las Cruces, NM, 88003, USA","active":true,"usgs":false}],"preferred":false,"id":952902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courtright, Ericha M.","contributorId":364580,"corporation":false,"usgs":false,"family":"Courtright","given":"Ericha","middleInitial":"M.","affiliations":[{"id":79445,"text":"USDA-ARS Jornada Experimental Range, PO Box 30003, MSC 3JER, Las Cruces, NM, 88003, USA","active":true,"usgs":false}],"preferred":false,"id":952903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Billings, Benjamin J","contributorId":169763,"corporation":false,"usgs":false,"family":"Billings","given":"Benjamin J","affiliations":[{"id":25582,"text":"Bureau of Land Management, San Luis Valley Field Office, Monte Vista, CO 81144","active":true,"usgs":false}],"preferred":false,"id":952904,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":219284,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952905,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Edwards, Brandon L.","contributorId":364583,"corporation":false,"usgs":false,"family":"Edwards","given":"Brandon","middleInitial":"L.","affiliations":[{"id":86850,"text":"USDA-ARS Jornada Experimental Range, PO Box 30003, MSC 3JER, Las Cruces, NM, 88003, USA; New Mexico State University, Jornada Experimental Range, PO Box 30003, MSC 3JER, Las Cruces, NM, 88003, USA","active":true,"usgs":false}],"preferred":false,"id":952906,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kachergis, Emily","contributorId":195930,"corporation":false,"usgs":false,"family":"Kachergis","given":"Emily","affiliations":[],"preferred":false,"id":952907,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moriasi, Daniel N","contributorId":270209,"corporation":false,"usgs":false,"family":"Moriasi","given":"Daniel","email":"","middleInitial":"N","affiliations":[{"id":56110,"text":"USDA-ARS USDA-ARS Grazinglands Research Laboratory, El Reno, OK 73036","active":true,"usgs":false}],"preferred":false,"id":952908,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Morra, Brian","contributorId":364584,"corporation":false,"usgs":false,"family":"Morra","given":"Brian","affiliations":[{"id":86853,"text":"USDA-ARS, Great Basin Rangelands Research Unit, 920 Valley Road, Reno, NV 89512, USA","active":true,"usgs":false}],"preferred":false,"id":952909,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nafus, Aleta","contributorId":167781,"corporation":false,"usgs":false,"family":"Nafus","given":"Aleta","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":true,"id":952910,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Newingham, Beth A.","contributorId":364585,"corporation":false,"usgs":false,"family":"Newingham","given":"Beth","middleInitial":"A.","affiliations":[{"id":86853,"text":"USDA-ARS, Great Basin Rangelands Research Unit, 920 Valley Road, Reno, NV 89512, USA","active":true,"usgs":false}],"preferred":false,"id":952911,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Scott, Drew A.","contributorId":364586,"corporation":false,"usgs":false,"family":"Scott","given":"Drew","middleInitial":"A.","affiliations":[{"id":86854,"text":"USDA-ARS Northern Great Plains Research Laboratory, 1701 10th Av. SW Mandan, ND 58454, USA","active":true,"usgs":false}],"preferred":false,"id":952912,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Toledo, David","contributorId":195936,"corporation":false,"usgs":false,"family":"Toledo","given":"David","email":"","affiliations":[],"preferred":false,"id":952913,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70267458,"text":"70267458 - 2025 - Stratigraphy, structure, and geomorphology of the central Appalachians across the North Mountain fault zone near Harrisonburg, Virginia, USA","interactions":[],"lastModifiedDate":"2025-05-23T14:22:38.733654","indexId":"70267458","displayToPublicDate":"2025-03-17T09:16:47","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Stratigraphy, structure, and geomorphology of the central Appalachians across the North Mountain fault zone near Harrisonburg, Virginia, USA","docAbstract":"<p><span>This field trip focuses on the geology of the central Appalachian Valley and Ridge province near Harrisonburg, Virginia, USA. Recent geologic mapping utilizing 1-m resolution lidar data has revealed new insights into the Paleozoic stratigraphy, structural geology, and Neogene landscape evolution of the region. The detailed mapping reveals the presence of the Big Spring Station Member and multiple thrombolite zones in the Cambrian Conococheague Formation extending as far south as the Briery Branch 7.5 min quadrangle, providing insights into Late Cambrian sea-level fluctuations. Multiple outcrop exposures in the study area of this guidebook confirm recent work in Pennsylvania, USA, showing that the Ordovician Reedsville Shale overlies the Martinsburg Formation and that the two are distinct and mappable as separate formations rather than laterally equivalent units as previously interpreted. Our work extends the Silurian Williamsport Sandstone into Shenandoah County, Virginia, and describes its facies relationships with the Bloomsburg Formation along strike and across the Adams Run anticline. Mapping within the thick Devonian siliciclastic sequence reveals the presence of the Mahantango Formation on the western limb of Supin Lick syncline and illustrates its complex facies relationship with the Millboro Shale. In addition, we highlight new mapping criteria for the Brallier and Foreknobs Formations and demonstrate how the specific changes to the placement of the contact between them addresses previous challenges in their differentiation. We present cosmogenic burial ages of broad alluvial fan sediments in the Shenandoah Valley near Timberville and Briery Branch, Virginia, and erosion rates estimated for the Briery Branch stream basin. Both analyses provide new constraints on the timing of landscape evolution and karst development since the middle Pliocene. This field guide also highlights some significant structural features within the North Mountain fault zone, such as evidence of imbricated thrust sheets cut by cross-strike faults that have been exploited by Eocene igneous intrusions. Map-scale horses of Silurian and Ordovician rocks hold up ridges that are oblique to the regional strike. Deformation internal to one of these horse blocks is shown to be non-coaxial with respect to the main regional northwest directed transport.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From the Ozark Plateaus and Arkansas River Valley to the Shenandoah Valley: Field guides for the 2025 GSA south-central and southeastern section meetings","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2025.0072(06)","usgsCitation":"Doctor, D.H., Gray, A., and Odom, W.E., 2025, Stratigraphy, structure, and geomorphology of the central Appalachians across the North Mountain fault zone near Harrisonburg, Virginia, USA, chap. <i>of</i> From the Ozark Plateaus and Arkansas River Valley to the Shenandoah Valley: Field guides for the 2025 GSA south-central and southeastern section meetings, v. 72, p. 93-142, https://doi.org/10.1130/2025.0072(06).","productDescription":"50 p.","startPage":"93","endPage":"142","ipdsId":"IP-175153","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":486501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","city":"Harrisonburg","otherGeospatial":"North Mountain fault zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.5,\n              39\n            ],\n            [\n              -79.5,\n              38\n            ],\n            [\n              -78.5,\n              38\n            ],\n            [\n              -78.5,\n              39\n            ],\n            [\n              -79.5,\n              39\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"72","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":938298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Alexander Addison 0009-0008-3071-2179","orcid":"https://orcid.org/0009-0008-3071-2179","contributorId":350945,"corporation":false,"usgs":true,"family":"Gray","given":"Alexander Addison","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":938299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Odom, William E. 0000-0001-8577-5056","orcid":"https://orcid.org/0000-0001-8577-5056","contributorId":292616,"corporation":false,"usgs":true,"family":"Odom","given":"William","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":938300,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274725,"text":"70274725 - 2025 - Ordovician stratigraphy, structure, and karst of the Falling Spring Valley, Alleghany County, Virginia, USA","interactions":[],"lastModifiedDate":"2026-04-08T14:35:10.261331","indexId":"70274725","displayToPublicDate":"2025-03-17T09:14:01","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Ordovician stratigraphy, structure, and karst of the Falling Spring Valley, Alleghany County, Virginia, USA","docAbstract":"<p><span>This one-day trip highlights new findings on a preliminary bedrock geologic map that shows results from ongoing geologic mapping in the Falling Spring Valley of Alleghany County, Virginia, USA, which is the southern end of the larger Warm Springs Valley, an elongated anticlinal valley rimmed by Ordovician and Silurian siliciclastic rocks, and which is famous for its thermal springs. This mapping includes stratigraphic, structural, and karst field and lab research focused on the Ordovician strata exposed in the area, the oldest of which is the dolomitic upper part of the Beekmantown Formation (Lower Ordovician, Darriwilian), and the youngest of which is the Juniata Formation (Upper Ordovician, Katian), a sequence of siliciclastic redbeds. Warm Springs Valley is the location of the only known caves in the eastern United States—three at present—with thermal waters flowing in some of their passages. Stops on the trip will highlight key details from mapping efforts, primarily within the structurally deformed Ordovician carbonate sequence that is exposed in the core and limbs of the anticline, as well as the associated karst features that are developed in those carbonate rocks, including results of recent dye traces and water temperature monitoring that have improved our understanding of the karst hydrogeologic systems developed in these strata.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From the Ozark Plateaus and Arkansas River Valley to the Shenandoah Valley: Field guides for the 2025 Southeastern and South-Central Section Meetings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2025.0072(05)","usgsCitation":"Haynes, J.T., Lambert, R.A., Martin, D.C., Orndorff, R.C., and Parker, M., 2025, Ordovician stratigraphy, structure, and karst of the Falling Spring Valley, Alleghany County, Virginia, USA, chap. <i>of</i> From the Ozark Plateaus and Arkansas River Valley to the Shenandoah Valley: Field guides for the 2025 Southeastern and South-Central Section Meetings, v. 72, p. 69-91, https://doi.org/10.1130/2025.0072(05).","productDescription":"23 p.","startPage":"69","endPage":"91","ipdsId":"IP-175668","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":502268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Alleghany County","otherGeospatial":"Falling Spring Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.875,\n              38\n            ],\n            [\n              -80,\n              38\n            ],\n            [\n              -80,\n              37.75\n            ],\n            [\n              -79.875,\n              37.75\n            ],\n            [\n              -79.875,\n              38\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"72","noUsgsAuthors":false,"publicationDate":"2025-03-17","publicationStatus":"PW","contributors":{"editors":[{"text":"Admassu, Yonathan","contributorId":369433,"corporation":false,"usgs":false,"family":"Admassu","given":"Yonathan","affiliations":[],"preferred":false,"id":958958,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Garcia, Ángel","contributorId":369434,"corporation":false,"usgs":false,"family":"Garcia","given":"Ángel","affiliations":[],"preferred":false,"id":958959,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hutto, Richard","contributorId":369435,"corporation":false,"usgs":false,"family":"Hutto","given":"Richard","affiliations":[],"preferred":false,"id":958960,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Haynes, John T.","contributorId":369314,"corporation":false,"usgs":false,"family":"Haynes","given":"John","middleInitial":"T.","affiliations":[{"id":16809,"text":"James Madison University","active":true,"usgs":false}],"preferred":false,"id":958859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lambert, Richard A.","contributorId":369315,"corporation":false,"usgs":false,"family":"Lambert","given":"Richard","middleInitial":"A.","affiliations":[{"id":87760,"text":"Warm Springs Anticline Cave Survey","active":true,"usgs":false}],"preferred":false,"id":958860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Delbert C.","contributorId":369316,"corporation":false,"usgs":false,"family":"Martin","given":"Delbert","middleInitial":"C.","affiliations":[{"id":87760,"text":"Warm Springs Anticline Cave Survey","active":true,"usgs":false}],"preferred":false,"id":958861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":958862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parker, Mercer 0000-0001-6683-6458 mercerparker@usgs.gov","orcid":"https://orcid.org/0000-0001-6683-6458","contributorId":203174,"corporation":false,"usgs":true,"family":"Parker","given":"Mercer","email":"mercerparker@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":958863,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70270732,"text":"70270732 - 2025 - Being loud to find a quiet bird: Surveying a secretive tropical avian species","interactions":[],"lastModifiedDate":"2025-08-22T15:49:41.151091","indexId":"70270732","displayToPublicDate":"2025-03-17T08:40:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1185,"text":"Caribbean Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Being loud to find a quiet bird: Surveying a secretive tropical avian species","docAbstract":"<p><span>Secretive birds are hard to detect, and thus, likely underestimated when surveyed, potentially preventing measures to protect them. We identified a sampling period and method that would yield the most reliable estimates of population numbers of the secretive Puerto Rican Lizard-Cuckoo (</span><i>Coccyzus vieilloti</i><span>). We addressed these objectives by comparing point counts (passive) and playback broadcast (active) survey methods from January to December, 2022 at Cambalache State Forest, Puerto Rico. We surveyed 20 stations (radius = 50 m each) between sunrise and 10 am, employing the time-of-detection method. We recorded strong responses from&nbsp;</span><i>C. vieilloti</i><span>&nbsp;after birds had been stimulated by playback broadcasts (recapture probabilities), corresponding to a behavioral response (M</span><sub>b</sub><span>). For example, average capture (p) and recapture (c) probabilities within the peak breeding season for active surveys were 0.23 ± 0.10 and 0.49 ±0.08, respectively. Active surveys yielded higher estimates of&nbsp;</span><i>C. vieilloti</i><span>&nbsp;compared to passive surveys. For example, active survey expected population numbers (15.6 ha or area sampled) during peak breeding season were 42.87 ± 12.08 compared to 19.60 ± 2.08 individuals from passive surveys. Coefficients of variation population estimates of active surveys ranged between 10 and 16%, with one exception (28%), well within acceptable levels for wildlife studies. We show that secretive species like&nbsp;</span><i>C. vieilloti</i><span>&nbsp;can be reliably surveyed using playback broadcasts. Surveys should be conducted during the peak breeding season when estimates are higher and have better precision. Conducting similar tests on other secretive species could ensure that their status is not mischaracterized and that they receive the benefits of appropriate conservation measures, if warranted.</span></p>","language":"English","publisher":"BioOne","doi":"10.18475/cjos.v55i1.a7","usgsCitation":"Rodriquez-Rivera, K.X., Puente Rolon, A.R., and Collazo, J.A., 2025, Being loud to find a quiet bird: Surveying a secretive tropical avian species: Caribbean Journal of Science, v. 55, no. 1, p. 54-64, https://doi.org/10.18475/cjos.v55i1.a7.","productDescription":"11 p.","startPage":"54","endPage":"64","ipdsId":"IP-170207","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Cambalache State Forest, Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -66.675152143636,\n              18.47801185830444\n            ],\n            [\n              -66.675152143636,\n              18.457140105969017\n            ],\n            [\n              -66.61164345711724,\n              18.457140105969017\n            ],\n            [\n              -66.61164345711724,\n              18.47801185830444\n            ],\n            [\n              -66.675152143636,\n              18.47801185830444\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"55","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rodriquez-Rivera, Kenneth X.","contributorId":360269,"corporation":false,"usgs":false,"family":"Rodriquez-Rivera","given":"Kenneth","middleInitial":"X.","affiliations":[{"id":38462,"text":"University of Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":946923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puente Rolon, Alberto R.","contributorId":360272,"corporation":false,"usgs":false,"family":"Puente Rolon","given":"Alberto","middleInitial":"R.","affiliations":[{"id":38462,"text":"University of Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":946924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946925,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264626,"text":"70264626 - 2025 - Evaluating the potential to quantify salmon habitat via UAS-based particle image velocimetry","interactions":[],"lastModifiedDate":"2025-03-18T16:47:13.564948","indexId":"70264626","displayToPublicDate":"2025-03-16T11:34:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the potential to quantify salmon habitat via UAS-based particle image velocimetry","docAbstract":"<p><span>Continuous, high-resolution data for characterizing freshwater habitat conditions can support successful management of endangered salmonids. Uncrewed aircraft systems (UAS) make acquiring such fine-scale data along river channels more feasible, but workflows for quantifying reach-scale salmon habitats are lacking. We evaluated the potential for UAS-based mapping of hydraulic habitats using spectrally based depth retrieval and particle image velocimetry (PIV) by comparing these methods to a more well-established flow modeling approach. Our results indicated that estimates of water depth, depth-averaged velocity, and flow direction derived via remote sensing and modeling techniques were comparable and in good agreement with field measurements. Predictions of spring-run Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>) juvenile rearing habitat produced from PIV and model output were similar, with small errors relative to direct field observations. Estimates of hydraulic heterogeneity based on kinetic energy gradients in the flow field were generally consistent between PIV and flow modeling, but errors relative to field measurements were larger. PIV results were sensitive to the velocity index&nbsp;</span>(<i>α</i>)<span>&nbsp;used to convert surface velocities to depth-averaged velocities. Sun glint precluded PIV analysis along the margins of some images and a large degree of overlap between frames was thus required to obtain continuous coverage of the reach. Similarly, shadows cast by riparian vegetation caused gaps in spectrally based bathymetric maps. Despite these limitations, our results suggest that for sites with sufficient water surface texture, UAS-based PIV can provide detailed hydraulic habitat information at the reach scale, with accuracies comparable to traditional field methods and multidimensional flow modeling.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR038045","usgsCitation":"Harrison, L.R., Legleiter, C.J., Overstreet, B., and White, J., 2025, Evaluating the potential to quantify salmon habitat via UAS-based particle image velocimetry: Water Resources Research, v. 3, no. 61, e2024WR038045, 21 p., https://doi.org/10.1029/2024WR038045.","productDescription":"e2024WR038045, 21 p.","ipdsId":"IP-163184","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":488333,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr038045","text":"Publisher Index Page"},{"id":483481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"North Santiam River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.01923518970605,\n              44.68226153883313\n            ],\n            [\n              -122.36818028867839,\n              44.68226153883313\n            ],\n            [\n              -122.36818028867839,\n              44.857748774184074\n            ],\n            [\n              -123.01923518970605,\n              44.857748774184074\n            ],\n            [\n              -123.01923518970605,\n              44.68226153883313\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","issue":"61","noUsgsAuthors":false,"publicationDate":"2025-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Harrison, Lee R.","contributorId":174322,"corporation":false,"usgs":false,"family":"Harrison","given":"Lee","email":"","middleInitial":"R.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":930994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":930995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overstreet, Brandon 0000-0001-7845-6671 boverstreet@usgs.gov","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":169201,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"boverstreet@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, James 0000-0002-7255-3785 jameswhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7255-3785","contributorId":193492,"corporation":false,"usgs":true,"family":"White","given":"James","email":"jameswhite@usgs.gov","affiliations":[],"preferred":true,"id":930997,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264651,"text":"70264651 - 2025 - Dynamic baseflow storage estimates and the role of topography, geology and evapotranspiration on streamflow recession characteristics in the Neversink Reservoir Watershed, New York","interactions":[],"lastModifiedDate":"2025-03-18T16:31:27.341468","indexId":"70264651","displayToPublicDate":"2025-03-15T11:10:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic baseflow storage estimates and the role of topography, geology and evapotranspiration on streamflow recession characteristics in the Neversink Reservoir Watershed, New York","docAbstract":"<p><span>Estimates of dynamic groundwater volumes supplying baseflow to streams are important for water availability projections during extended periods of drought. The primary goals of this study were to provide dynamic storage volume estimates, inferred from streamflow recession analysis, for baseflow regimes within seven gaged catchments within the Neversink Reservoir Watershed (NRW), a critical municipal water source for New York City. Additionally, geomorphological properties, surficial geology and hydro-meteorological processes were quantified and described in relation to time and spatially variable recession behaviour and storage estimates across the NRW. To explore these relationships, we (1) evaluated seasonal trends in streamflow recession behaviour in relation to modelled potential evapotranspiration (PET) and catchment runoff rates, (2) derived empirical streamflow models for cool-season runoff using both linear and nonlinear reservoir assumptions for baseflow and (3) calculated metrics related to the geology and geomorphology of each catchment and compared these metrics to area normalised baseflow dynamic storage estimates. Results show that baseflow recession behaves as a nonlinear reservoir, and applying linear groundwater reservoir assumptions may underestimate the total dynamic storage volumes compared to what would be predicted for a nonlinear reservoir. Increases in PET caused decreases in storage conditions that resulted in increased recession rates and nonlinearity in streamflow recession during the growing season. Additionally, we found that while no single physical catchment characteristic solely predicted catchment storage dynamics, sediment volume and stream gradients were stronger predictors of normalised storage volumes than catchment surface area or surface topography alone. Within the NRW, catchments with the highest sediment volume exhibited the lowest recession rates and higher dynamic storage volumes, while the smallest catchment, mostly devoid of sediment, had the fastest recession rate and lowest dynamic storage volume.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70106","usgsCitation":"Benton, J., and Doctor, D.H., 2025, Dynamic baseflow storage estimates and the role of topography, geology and evapotranspiration on streamflow recession characteristics in the Neversink Reservoir Watershed, New York: Hydrological Processes, v. 39, no. 3, e70106, 17 p., https://doi.org/10.1002/hyp.70106.","productDescription":"e70106, 17 p.","ipdsId":"IP-163356","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":483480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Neversink Reservoir Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.95860919620127,\n              42.2147005922842\n            ],\n            [\n              -74.56712312527952,\n              42.2147005922842\n            ],\n            [\n              -74.56712312527952,\n              41.956641367777735\n            ],\n            [\n              -73.95860919620127,\n              41.956641367777735\n            ],\n            [\n              -73.95860919620127,\n              42.2147005922842\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Benton, Joshua R. 0000-0002-1698-6455","orcid":"https://orcid.org/0000-0002-1698-6455","contributorId":352387,"corporation":false,"usgs":false,"family":"Benton","given":"Joshua R.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":84197,"text":"**please fill in","active":true,"usgs":false}],"preferred":false,"id":931072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":931073,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264474,"text":"sir20255011 - 2025 - Comparison of hydrologic data and water budgets between 2003–08 and 2018–23 for the eastern part of the Arbuckle-Simpson aquifer, south-central Oklahoma","interactions":[],"lastModifiedDate":"2025-07-23T17:07:13.510916","indexId":"sir20255011","displayToPublicDate":"2025-03-14T15:26:55","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5011","displayTitle":"Comparison of Hydrologic Data and Water Budgets Between 2003–08 and 2018–23 for the Eastern Part of the Arbuckle-Simpson Aquifer, South-Central Oklahoma","title":"Comparison of hydrologic data and water budgets between 2003–08 and 2018–23 for the eastern part of the Arbuckle-Simpson aquifer, south-central Oklahoma","docAbstract":"<p>The Arbuckle-Simpson aquifer is divided spatially into three parts (eastern, central, and western). The largest groundwater withdrawals are from the eastern part of the Arbuckle-Simpson aquifer, which provides water to approximately 39,000 people in Ada and Sulphur, Oklahoma, and surrounding areas. The Arbuckle-Simpson aquifer, including the eastern part, is designated a sole source aquifer for its service area. Based primarily on data collected between 2003 and 2008, a series of comprehensive hydrologic studies of the Arbuckle-Simpson aquifer was published to provide the information necessary to perform groundwater-flow model simulations so that the Oklahoma Water Resources Board could determine how much water could be withdrawn from the aquifer while maintaining flow to springs and streams. As part of the Phase 1 studies, an aquifer water budget was developed from a numerical model for the period 2003–08. For this report, Phase 1 refers to the 2003–08 data collection period, although for some of the analyses, data collected prior to 2003 were used to inform model development work. Allocation of water from this aquifer was then established by the Oklahoma Water Resources Board in 2013. Additional well-spacing rules were also established by the Oklahoma Water Resources Board for sensitive sole source groundwater basins. To determine how the water budget for the eastern part of the Arbuckle-Simpson aquifer has changed over time, recently collected hydrologic data (2018–23) were compared to data collected during 2003–08. The analysis of changes in the aquifer water budget from 2003–08 to 2018–23 could help resource managers better understand changes in the overall balance of water in storage and the potential effects on streamflow, changes in groundwater levels, and the effects of different water uses in the aquifer area on available water in the eastern part of the Arbuckle-Simpson aquifer and streams overlying the eastern part of the Arbuckle-Simpson aquifer.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255011","issn":"2328-0328","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board and the Oka’ Institute","usgsCitation":"Mashburn, S.L., Fetkovich, E.J., Lockmiller, H.A., Codner, C., Kirby, E.A., Dale, I.A., and Baciocco, C.A., 2025, Comparison of hydrologic data and water budgets between 2003–08 and 2018–23 for the eastern part of the Arbuckle-Simpson aquifer, south-central Oklahoma: U.S. Geological Survey Scientific Investigations Report 2025–5011, 61 p., https://doi.org/10.3133/sir20255011.","productDescription":"Report: x, 61 p.; Data Release","numberOfPages":"64","onlineOnly":"Y","ipdsId":"IP-149894","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":492789,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118488.htm","linkFileType":{"id":5,"text":"html"}},{"id":483410,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255011/full","description":"SIR 2025-5011 HTML"},{"id":483409,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5011/sir20255011.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5011 XML"},{"id":483365,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14UXYVV","text":"USGS Data Release","linkHelpText":"- Soil-Water-Balance model and data for Phase 1 (2003–08) and Phase 2 (2018–23) hydrologic and water-budget analyses of the eastern part of the Arbuckle-Simpson aquifer, south-central Oklahoma, 2019–22"},{"id":483364,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5011/sir20255011.pdf","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5011"},{"id":483363,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5011/images"},{"id":483362,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5011/coverthb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"eastern part of the Arbuckle-Simpson Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.35,\n              34.75\n          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Data Comparison: Phase 1 to Phase 2</li><li>Water-Budget Comparison: Phase 1 to Phase 2</li><li>Future Studies and Monitoring Data</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Spring Discharge Measured in the Arbuckle-Simpson Aquifer</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-03-14","noUsgsAuthors":false,"publicationDate":"2025-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Mashburn, Shana L. 0000-0001-5163-778X shanam@usgs.gov","orcid":"https://orcid.org/0000-0001-5163-778X","contributorId":2140,"corporation":false,"usgs":true,"family":"Mashburn","given":"Shana","email":"shanam@usgs.gov","middleInitial":"L.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fetkovich, Evin J. 0000-0002-8899-8543","orcid":"https://orcid.org/0000-0002-8899-8543","contributorId":328666,"corporation":false,"usgs":true,"family":"Fetkovich","given":"Evin","email":"","middleInitial":"J.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockmiller, Hayden A. 0000-0001-7605-2286","orcid":"https://orcid.org/0000-0001-7605-2286","contributorId":345227,"corporation":false,"usgs":true,"family":"Lockmiller","given":"Hayden","email":"","middleInitial":"A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Codner, Chloe 0009-0009-6577-8706","orcid":"https://orcid.org/0009-0009-6577-8706","contributorId":352321,"corporation":false,"usgs":true,"family":"Codner","given":"Chloe","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirby, Ethan Allen 0000-0001-7521-5477","orcid":"https://orcid.org/0000-0001-7521-5477","contributorId":351554,"corporation":false,"usgs":true,"family":"Kirby","given":"Ethan Allen","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930765,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dale, Isaac A. 0000-0003-0844-0193","orcid":"https://orcid.org/0000-0003-0844-0193","contributorId":352322,"corporation":false,"usgs":true,"family":"Dale","given":"Isaac A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930766,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baciocco, Colin A. 0000-0002-9548-9077","orcid":"https://orcid.org/0000-0002-9548-9077","contributorId":352323,"corporation":false,"usgs":true,"family":"Baciocco","given":"Colin A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930767,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70264371,"text":"sir20255019 - 2025 - Methods for peak-flow frequency analysis for streamgages in or near Montana, North Dakota, South Dakota, and Wyoming","interactions":[],"lastModifiedDate":"2025-07-23T17:05:10.7509","indexId":"sir20255019","displayToPublicDate":"2025-03-14T12:28:30","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5019","displayTitle":"Methods for Peak-Flow Frequency Analysis for Streamgages in or near Montana, North Dakota, South Dakota, and Wyoming","title":"Methods for peak-flow frequency analysis for streamgages in or near Montana, North Dakota, South Dakota, and Wyoming","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Montana Department of Natural Resources and Conservation, North Dakota Department of Water Resources, South Dakota Department of Transportation, and the Wyoming Water Development Office, has developed standard methods of peak-flow frequency analysis for studies in Montana, North Dakota, South Dakota, and Wyoming. These methods describe the implementation of national flood frequency guidelines described in Bulletin 17C (<a data-mce-href=\"https://doi.org/10.3133/tm4B5\" href=\"https://doi.org/10.3133/tm4B5\">https://doi.org/10.3133/tm4B5</a>) for the four States and deviations from Bulletin 17C standard procedures to accommodate unusual hydrologic conditions. A U.S. Geological Survey data release accompanying this report (<a data-mce-href=\"https://doi.org/10.5066/P1WHRK8H\" href=\"https://doi.org/10.5066/P1WHRK8H\">https://doi.org/10.5066/P1WHRK8H</a>) provides example peak-flow frequency analyses for selected streamgages in the study area. The methods described in this report can be used to publish similar data releases for other streamgages in the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255019","collaboration":"Prepared in cooperation with the Montana Department of Natural Resources and Conservation, North Dakota Department of Water Resources, South Dakota Department of Transportation, and Wyoming Water Development Office","usgsCitation":"Siefken, S.A., Williams-Sether, T., Barth, N.A., Chase, K.J., and Cedar Face, M.A., 2025, Methods for peak-flow frequency analysis for streamgages in or near Montana, North Dakota, South Dakota, and Wyoming: U.S. Geological Survey Scientific Investigations Report 2025–5019, 19 p., https://doi.org/10.3133/sir20255019.","productDescription":"Report: vii, 19 p.; Data Release; 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wy-mt-water/\" data-mce-href=\"https://www.usgs.gov/centers/wy-mt-water/\">Wyoming-Montana Water Science Center</a><br>U.S. Geological Survey<br>3162 Bozeman Avenue<br>Helena, MT 59601</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>Methods for At-Site Peak-Flow Frequency Analysis</li><li>Methods for Improving Peak-Flow Frequency Analyses</li><li>Methods for Peak-Flow Frequency Reporting</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-03-14","noUsgsAuthors":false,"publicationDate":"2025-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Siefken, Seth A. 0000-0001-5502-7903","orcid":"https://orcid.org/0000-0001-5502-7903","contributorId":292861,"corporation":false,"usgs":true,"family":"Siefken","given":"Seth","email":"","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":930557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams-Sether, Tara 0000-0001-6515-9416","orcid":"https://orcid.org/0000-0001-6515-9416","contributorId":214143,"corporation":false,"usgs":true,"family":"Williams-Sether","given":"Tara","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barth, Nancy A. 0000-0002-7060-8244 nabarth@usgs.gov","orcid":"https://orcid.org/0000-0002-7060-8244","contributorId":298020,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":930559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":930560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cedar Face, Mark A. 0009-0003-5818-8317","orcid":"https://orcid.org/0009-0003-5818-8317","contributorId":352269,"corporation":false,"usgs":true,"family":"Cedar Face","given":"Mark A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930561,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263502,"text":"fs20253003 - 2025 - The abandoned mine inventory of the United States—A brief summary","interactions":[],"lastModifiedDate":"2025-07-23T17:02:41.896235","indexId":"fs20253003","displayToPublicDate":"2025-03-14T10:50:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3003","displayTitle":"The Abandoned Mine Inventory of the United States—A Brief Summary","title":"The abandoned mine inventory of the United States—A brief summary","docAbstract":"The Infrastructure Investment and Jobs Act of 2021 required the Secretary of the Interior to establish a program to inventory abandoned hard-rock mines in the United States. The Department of the Interior’s Office of Environmental Policy and Compliance asked the U.S. Geological Survey’s Mineral Deposit Database project (USMIN) to use existing data sources to build an inventory of all individual abandoned mine features in the United States. In addition to feature locations, this new database documents the surface land management agency, associated physical and environmental hazards, and any completed mitigation efforts. This information will improve risk assessment and support land management efforts, including hazard mitigation, ecosystem restoration planning, and reclamation. 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,{"id":70264231,"text":"sir20245131 - 2025 - Geologic framework and Holocene sand thickness offshore of Seven Mile Island, New Jersey","interactions":[],"lastModifiedDate":"2025-07-23T17:03:49.230846","indexId":"sir20245131","displayToPublicDate":"2025-03-14T10:34:01","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5131","displayTitle":"Geologic Framework and Holocene Sand Thickness Offshore of Seven Mile Island, New Jersey","title":"Geologic framework and Holocene sand thickness offshore of Seven Mile Island, New Jersey","docAbstract":"<p>The U.S. Geological Survey assessed the Quaternary evolution of Seven Mile Island, New Jersey, to quantify coastal sediment availability, which is crucial for establishing sediment budgets, understanding sediment dispersal, and managing coastlines. This report presents preliminary interpretations of seismic profiles, maps of Holocene sand thickness from the shoreline to 2 kilometers offshore, and tables quantifying the volume of available sediment along the coastal margin based on data collected during 2021 and 2022. The results reveal spatial variability in the thickness and cross-shore extent of Holocene sand. The study area was separated into northern, central, and southern zones by using underlying stratigraphy and geomorphic features. The characteristics and spatial extent of the Holocene sand deposit indicate that hydrodynamic processes contribute to its spatial variability. Northern Seven Mile Island contains the thickest deposits of Holocene sand that were formed by sediment bypass around the Townsends Inlet ebb-tidal delta. Specifically, swash bars have welded to the updrift end of Seven Mile Island and have formed thick deposits of Holocene sand that thicken landward and taper seaward. Despite their thickness, these deposits have the smallest cross-shore extent; therefore, northern Seven Mile Island has the smallest volume of Holocene sand of the three geomorphic zones. Central Seven Mile Island has the thinnest Holocene sand deposits because this section of the barrier island is outside the influence of ebb-tidal deltas. Southern Seven Mile Island has the greatest volumes of Holocene sand because of increased accommodation and deposition adjacent to the Hereford Inlet ebb-tidal delta. Even though tidal inlets exert variable influence on the three geomorphic zones, sediment is distributed fairly uniformly within each geomorphic zone; each of the three zones contains 31.05–36.48 percent of the volume of available Holocene sand.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245131","issn":"2328-0328","collaboration":"Prepared in cooperation with the National Fish and Wildlife Foundation","programNote":"Coastal/Marine Hazards and Resources Program","usgsCitation":"Wei, E.A., Miselis, J.L., Buster, N.A., and Forde, A.S., 2025, Geologic framework and Holocene sand thickness offshore of Seven Mile Island, New Jersey: U.S. Geological Survey Scientific Investigations Report 2024–5131, 19 p., https://doi.org/10.3133/sir20245131.","productDescription":"Report: viii, 19 p.; 2 Data Releases","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-165086","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":483093,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5131/coverthb.jpg"},{"id":483096,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PY4RR0","text":"USGS Data Release","linkHelpText":"- Archive of chirp subbottom profile data collected in 2022 from Seven Mile Island, New Jersey"},{"id":492787,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118486.htm","linkFileType":{"id":5,"text":"html"}},{"id":483097,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9M2EQIR","text":"USGS Data Release","linkHelpText":"- Coastal multibeam bathymetry and backscatter data collected in May 2021 from Seven Mile Island, New Jersey"},{"id":483094,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5131/images"},{"id":483095,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5131/sir20245131.pdf","size":"4.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5131"},{"id":483192,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5131/sir20245131.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5131 XML"},{"id":483193,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245131/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5131 HTML"}],"country":"United States","state":"New Jersey","otherGeospatial":"Seven Mile Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.71729437304549,\n              39.09134026319839\n            ],\n            [\n              -74.74344377259816,\n              39.06675777446753\n            ],\n            [\n              -74.77247200512902,\n              39.030706602367275\n            ],\n            [\n              -74.7446432863393,\n              39.02306549035288\n            ],\n            [\n              -74.67687095306177,\n              39.10148739386179\n            ],\n            [\n              -74.70314030522428,\n              39.10902694639125\n            ],\n            [\n              -74.71729437304549,\n              39.09134026319839\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/spcmsc\" href=\"https://www.usgs.gov/centers/spcmsc\">St. Petersburg Coastal and Marine Science Center</a><br>U.S. Geological Survey<br>600 4th Street South<br>St. Petersburg, FL 33701<br></p><p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-olk-copy-source=\"MailCompose\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Regional Geologic Setting</li><li>Materials and Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-03-14","noUsgsAuthors":false,"publicationDate":"2025-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Wei, Emily A. 0000-0003-4008-0933","orcid":"https://orcid.org/0000-0003-4008-0933","contributorId":223488,"corporation":false,"usgs":true,"family":"Wei","given":"Emily","email":"","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":930130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":930131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buster, Noreen A. 0000-0001-5069-9284","orcid":"https://orcid.org/0000-0001-5069-9284","contributorId":221108,"corporation":false,"usgs":true,"family":"Buster","given":"Noreen A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":930132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":930133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264369,"text":"sir20245128 - 2025 - Analysis of aquifer framework and properties, Alvahs Lane well field, Cutchogue, New York","interactions":[],"lastModifiedDate":"2025-07-23T17:01:16.465041","indexId":"sir20245128","displayToPublicDate":"2025-03-13T13:26:56","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5128","displayTitle":"Analysis of Aquifer Framework and Properties, Alvahs Lane Well Field, Cutchogue, New York","title":"Analysis of aquifer framework and properties, Alvahs Lane well field, Cutchogue, New York","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Suffolk County Water Authority, evaluated the aquifer transmissivity and storage properties at the Alvahs Lane well field north of the village of Cutchogue, New York. This analysis of aquifer properties provides the Suffolk County Water Authority with hydrogeologic information needed to develop water supplies to meet the increasing water demands of the residents of Suffolk County, New York.</p><p>An aquifer test was conducted at the Alvahs Lane well field from October 18 through October 21, 2022, when a production well was pumped at 550 gallons per minute for about 24 hours, and groundwater-level drawdown and recovery were measured in two monitoring wells. The three wells are screened in a glaciofluvial aquifer under unconfined (water table) conditions. Drawdown and recovery data were analyzed with an analytical solution for partial penetration and delayed yield in an unconfined aquifer to provide estimates of the glaciofluvial aquifer properties. Inclusion of lateral aquifer boundaries was not necessary for the analysis to result in satisfactory matches with the observed water-level responses. Aquifer transmissivity was estimated at 32,000 feet squared per day. Assuming a saturated aquifer thickness of 120 feet, this result is equivalent to a horizontal hydraulic conductivity value of 270 feet per day. Specific yield was estimated at 0.15 (dimensionless). The estimated properties are consistent with those of a highly transmissive unconfined aquifer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245128","collaboration":"Prepared in cooperation with the Suffolk County Water Authority","usgsCitation":"Misut, P.E., 2025, Analysis of aquifer framework and properties, Alvahs Lane well field, Cutchogue, New York: U.S. Geological Survey Scientific Investigations Report 2024–5128, 9 p., https://doi.org/10.3133/sir20245128.","productDescription":"iv, 9 p.","numberOfPages":"9","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154731","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":492784,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118489.htm","linkFileType":{"id":5,"text":"html"}},{"id":483275,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5128/images/"},{"id":483274,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5128/sir20245128.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5128 XML"},{"id":483273,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/preview/sir20245128/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5128 HTML"},{"id":483272,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5128/sir20245128.pdf","text":"Report","size":"2.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5128 PDF"},{"id":483271,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5128/coverthb.jpg"}],"country":"United States","state":"New York","city":"Cutchogue","otherGeospatial":"Alvahs Lane well field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.5463729228096,\n              41.03435851242847\n            ],\n            [\n              -72.5463729228096,\n              40.987047126294755\n            ],\n            [\n              -72.46023151369637,\n              40.987047126294755\n            ],\n            [\n              -72.46023151369637,\n              41.03435851242847\n            ],\n            [\n              -72.5463729228096,\n              41.03435851242847\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Alvahs Lane Well Field Aquifer Test</li><li>Aquifer Properties</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2025-03-13","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Misut, Paul E. 0000-0002-6502-5255 pemisut@usgs.gov","orcid":"https://orcid.org/0000-0002-6502-5255","contributorId":1073,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","email":"pemisut@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930548,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70264295,"text":"dr1206 - 2025 - Base-flow sampling to enhance understanding of the groundwater flow component of nitrogen loading in small watersheds draining into Long Island Sound","interactions":[],"lastModifiedDate":"2025-07-23T16:59:57.911508","indexId":"dr1206","displayToPublicDate":"2025-03-13T12:40:00","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":"1206","displayTitle":"Base-Flow Sampling to Enhance Understanding of the Groundwater Flow Component of Nitrogen Loading in Small Watersheds Draining Into Long Island Sound","title":"Base-flow sampling to enhance understanding of the groundwater flow component of nitrogen loading in small watersheds draining into Long Island Sound","docAbstract":"<p>Excessive nitrogen discharge is a major concern for the Long Island Sound. Programs have been implemented to reduce point sources of nitrogen to the sound, but little is known about the nonpoint sources. This study aims to better understand the current groundwater contributions of nitrogen from nonpoint sources in the Long Island Sound watershed.</p><p>During the spring and summer of 2022, the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, collected water-quality samples to analyze nutrients (nitrogen and phosphorus), chloride, and bromide at 45 stations in the Long Island Sound watershed in Connecticut, New York, and Rhode Island. The stations were in small drainage watersheds (5 to 30 square kilometers) in the southern part of the Long Island Sound watershed. During two separate synoptic sampling events, water-quality samples and instantaneous streamflow measurements were collected under base-flow conditions (where the streamflow is dominated by groundwater inputs rather than overland flow or runoff flow). One sampling event was in the nongrowing season (April 24–25, 2022), and the other was in the growing season (June 30–July 1, 2022). To calculate instantaneous nitrogen loads and yields, streamflow was measured at the time of sample collection.</p><p>Nitrogen concentrations, loads, and yields varied among sampling stations and by season. Total filtered nitrogen concentrations were generally lower in the nongrowing season (from less than 0.14 to 1.9 milligrams per liter) than in the growing season (from less than 0.23 to 3.0 milligrams per liter). Nitrate plus nitrite concentrations showed little variation between the nongrowing and growing seasons. Unfiltered ammonia plus organic nitrogen concentrations were generally lower in the nongrowing season (from less than 0.07 to 0.83 milligram per liter) than in the growing season (from 0.11 to 0.98 milligram per liter). In contrast, total filtered and unfiltered nitrogen loads and yields were higher in the nongrowing season than during the growing season, likely because streamflows were higher during the nongrowing season. Total unfiltered nitrogen yields during the nongrowing season ranged from less than 0.15 to 5.0 kilograms per square kilometer per day. Total unfiltered nitrogen yields during the growing season ranged from less than 0.12 to 2.5 kilograms per square kilometer per day. Total filtered nitrogen yields during the nongrowing season ranged from less than 0.13 to 5.2 kilograms per square kilometer per day. Total filtered nitrogen yields during the growing season ranged from less than 0.06 to 2.5 kilograms per square kilometer per day.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1206","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Laabs, K.L., Barclay, J.R., and Mullaney, J.R., 2025, Base-flow sampling to enhance understanding of the groundwater flow component of nitrogen loading in small watersheds draining into Long Island Sound: U.S. Geological Survey Data Report 1206, 23 p., https://doi.org/10.3133/dr1206.","productDescription":"Report: v, 23 p.; Data Release","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-161925","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":492783,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118484.htm","linkFileType":{"id":5,"text":"html"}},{"id":483188,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1206/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1206 HTML"},{"id":483186,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1206/coverthb.jpg"},{"id":483187,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1206/dr1206.pdf","text":"Report","size":"7.91 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1206 PDF"},{"id":483189,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1206/dr1206.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1206 XML"},{"id":483190,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1206/images/"},{"id":483191,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99IAXUI","text":"USGS data release","linkHelpText":"Nitrogen loads, yields, and associated field data collected during baseflow conditions and site attributes for small basins draining to Long Island Sound"}],"country":"United States","state":"Connecticut, New York, Rhode Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.91277546117404,\n              40.875888202775144\n            ],\n            [\n              -73.5833363685162,\n              40.98693216297761\n            ],\n            [\n              -72.40741106161018,\n              41.2504046305547\n            ],\n            [\n              -71.4646381344502,\n              41.35702020040523\n            ],\n            [\n              -71.40893145316154,\n              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]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water-science-center\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Streamflow Conditions, Water-Quality Data, and Nitrogen Loads and Yields</li><li>Quality Assurance and Quality Control of Water-Quality Data</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2025-03-13","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Laabs, Kaitlin L. 0000-0002-7798-3485","orcid":"https://orcid.org/0000-0002-7798-3485","contributorId":210817,"corporation":false,"usgs":true,"family":"Laabs","given":"Kaitlin L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barclay, Janet R. 0000-0003-1643-6901 jbarclay@usgs.gov","orcid":"https://orcid.org/0000-0003-1643-6901","contributorId":222437,"corporation":false,"usgs":true,"family":"Barclay","given":"Janet","email":"jbarclay@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mullaney, John R. 0000-0003-4936-5046","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":203254,"corporation":false,"usgs":true,"family":"Mullaney","given":"John R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930314,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264125,"text":"fs20243049 - 2025 - Assessment of undiscovered conventional oil and gas resources in upper Paleozoic reservoirs of the Wind River Basin, Bighorn Basin, and Powder River Basin Provinces, 2024","interactions":[],"lastModifiedDate":"2025-07-23T16:58:47.064302","indexId":"fs20243049","displayToPublicDate":"2025-03-13T11:45:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3049","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources in Upper Paleozoic Reservoirs of the Wind River Basin, Bighorn Basin, and Powder River Basin Provinces, 2024","title":"Assessment of undiscovered conventional oil and gas resources in upper Paleozoic reservoirs of the Wind River Basin, Bighorn Basin, and Powder River Basin Provinces, 2024","docAbstract":"<p class=\"paragraph\">Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 47 million barrels of oil and 876 billion cubic feet of gas in upper Paleozoic reservoirs of the Wind River Basin, Bighorn Basin, and Powder River Basin Provinces.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20243049","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Drake, R.M., II, Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., Leathers-Miller, H.M., and Timm, K.K., 2025, Assessment of undiscovered conventional oil and gas resources in upper Paleozoic reservoirs of the Wind River Basin, Bighorn Basin, and Powder River Basin Provinces, 2024: U.S. Geological Survey Fact Sheet 2024–3049, 4 p., https://doi.org/10.3133/fs20243049.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-155711","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":492782,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118483.htm","linkFileType":{"id":5,"text":"html"}},{"id":482979,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95BL3S4","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Paleozoic Reservoirs of the Wind River Basin, Big Horn Basin, and Powder River Basin Provinces: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":482978,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3049/fs20243049.pdf","text":"Report","size":"796 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3049"},{"id":482977,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3049/coverthb.jpg"},{"id":483263,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3049/fs20243049.xml"},{"id":483262,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3049/images"},{"id":483287,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243049/full","text":"Report","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana, Nebraska, South Dakota, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.58694947776809,\n              45.44307137234259\n            ],\n            [\n              -110.58694947776809,\n              42.18474590335302\n            ],\n            [\n              -103.24001465931977,\n              42.18474590335302\n            ],\n            [\n              -103.24001465931977,\n              45.44307137234259\n            ],\n            [\n              -110.58694947776809,\n              45.44307137234259\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\" data-mce-href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Total Petroleum Systems and Assessment Units</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishedDate":"2025-03-13","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":929901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":255366,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":929902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Le, Phuong A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":255367,"corporation":false,"usgs":true,"family":"Le","given":"Phuong A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":929903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cicero, Andrea D. 0000-0003-3632-304X","orcid":"https://orcid.org/0000-0003-3632-304X","contributorId":270005,"corporation":false,"usgs":true,"family":"Cicero","given":"Andrea","email":"","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":929904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drake, Ronald M. II 0000-0002-1770-4667","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":206291,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":929905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":929906,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":929907,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Benjamin G. 0000-0002-9462-9322","orcid":"https://orcid.org/0000-0002-9462-9322","contributorId":270008,"corporation":false,"usgs":true,"family":"Johnson","given":"Benjamin","email":"","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":929908,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lagesse, Jenny H. 0000-0002-3541-4751","orcid":"https://orcid.org/0000-0002-3541-4751","contributorId":248367,"corporation":false,"usgs":true,"family":"Lagesse","given":"Jenny","email":"","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":929909,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":210000,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi M.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":929910,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Timm, Kira K. 0000-0002-7439-4626","orcid":"https://orcid.org/0000-0002-7439-4626","contributorId":270009,"corporation":false,"usgs":true,"family":"Timm","given":"Kira","email":"","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":929911,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70264652,"text":"70264652 - 2025 - Hydrologic mechanisms for 2022 Yellowstone River flood and comparisons to recent historic floods","interactions":[],"lastModifiedDate":"2025-03-18T16:09:14.130714","indexId":"70264652","displayToPublicDate":"2025-03-13T11:04:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic mechanisms for 2022 Yellowstone River flood and comparisons to recent historic floods","docAbstract":"<p><span>In June 2022, a historic flood event occurred in the headwaters of the Yellowstone River Basin. The flood resulted in millions of dollars in damages and substantial interruptions to Yellowstone National Park. The 2022 flood event was substantially higher in magnitude than other high-peak flow events over the last 30 years. The high discharge was primarily due to the combination of hydrologic mechanisms initiated by rain-on-snow, including a high-elevation snowpack that peaked later than average. However, the contributions of each hydrologic driver, rain and snow, have not been quantified and could be important for understanding future flood events in the region. The contribution of snowmelt to the total terrestrial water input (TWI) varied throughout the area, yet was concentrated in the headwaters of the Yellowstone, Stillwater, and Boulder rivers, along with the headwaters of Rock Creek in Wyoming and Montana. The primary atmospheric contributions to the TWI during the 2022 event were precipitation from moisture transported from the Pacific Ocean that converged over the Greater Yellowstone Area (GYA) and snowmelt from residual snowpack in the northeast part of Yellowstone National Park.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70099","usgsCitation":"Giovando, J., Reis, W., Zhang, W., and Barth, N.A., 2025, Hydrologic mechanisms for 2022 Yellowstone River flood and comparisons to recent historic floods: Hydrological Processes, v. 39, no. 3, e70099, 10 p., https://doi.org/10.1002/hyp.70099.","productDescription":"e70099, 10 p.","ipdsId":"IP-164578","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":483479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.8645863474894,\n              45.53668572000356\n            ],\n            [\n              -111.8645863474894,\n              43.909029192960446\n            ],\n            [\n              -108.86233230449172,\n              43.909029192960446\n            ],\n            [\n              -108.86233230449172,\n              45.53668572000356\n            ],\n            [\n              -111.8645863474894,\n              45.53668572000356\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Giovando, Jeremy","contributorId":352388,"corporation":false,"usgs":false,"family":"Giovando","given":"Jeremy","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":931074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reis, Wyatt","contributorId":352389,"corporation":false,"usgs":false,"family":"Reis","given":"Wyatt","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":931075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Wei","contributorId":352390,"corporation":false,"usgs":false,"family":"Zhang","given":"Wei","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":931076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barth, Nancy A. 0000-0002-7060-8244 nabarth@usgs.gov","orcid":"https://orcid.org/0000-0002-7060-8244","contributorId":298020,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":931077,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273052,"text":"70273052 - 2025 - Evidence of red fox (Vulpes vulpes) depredating a Saltmarsh Sparrow (Ammospiza caudacuta) nest","interactions":[],"lastModifiedDate":"2025-12-15T14:48:17.221433","indexId":"70273052","displayToPublicDate":"2025-03-13T10:58:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7509,"text":"The Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evidence of red fox (<i>Vulpes vulpes</i>) depredating a Saltmarsh Sparrow (<i>Ammospiza caudacuta</i>) nest","title":"Evidence of red fox (Vulpes vulpes) depredating a Saltmarsh Sparrow (Ammospiza caudacuta) nest","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Saltmarsh Sparrows (</span><i>Ammospiza caudacuta</i><span>), a tidal-marsh specialist, face severe population declines due to habitat loss, sea-level rise, and predation. While previous research suggests that predation pressure increases at the southern extent of the species’ breeding range, data on local predator communities remain limited. To address this, we deployed game cameras at 16 Saltmarsh Sparrow nests across four salt marshes on Virginia’s eastern shore, the southern-most extent of their breeding range. Our study provides camera-documented evidence of red fox (</span><i>Vulpes vulpes</i><span>) predation on Saltmarsh Sparrow nests. We detected a suspected predation event by white-tailed deer (</span><i>Odocoileus virginianus</i><span>) and four other potential nest predators. Additionally, we detected a Willet (</span><i>Tringa semipalmata</i><span>) aggressively displacing a nesting female, suggesting interspecific interactions may contribute to nest failure.</span></span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15594491.2025.2535832","usgsCitation":"Re, B., Karpanty, S.M., and Hunter, E.A., 2025, Evidence of red fox (Vulpes vulpes) depredating a Saltmarsh Sparrow (Ammospiza caudacuta) nest: The Wilson Journal of Ornithology, v. 137, no. 4, p. 647-654, https://doi.org/10.1080/15594491.2025.2535832.","productDescription":"8 p.","startPage":"647","endPage":"654","ipdsId":"IP-176752","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497494,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.22610873430784,\n              38.20480113736551\n            ],\n            [\n              -77.22610873430784,\n              36.57433812738637\n            ],\n            [\n              -76.01620307129923,\n              36.57433812738637\n            ],\n            [\n              -76.01620307129923,\n              38.20480113736551\n            ],\n            [\n              -77.22610873430784,\n              38.20480113736551\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"137","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Re, Bridget","contributorId":364008,"corporation":false,"usgs":false,"family":"Re","given":"Bridget","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":952164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karpanty, Sarah M.","contributorId":364009,"corporation":false,"usgs":false,"family":"Karpanty","given":"Sarah","middleInitial":"M.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":952165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952166,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264582,"text":"70264582 - 2025 - Overwinter survival of an estuarine resident fish (Fundulus heteroclitus) in North Carolina salt marsh creeks","interactions":[],"lastModifiedDate":"2025-08-19T15:28:24.757921","indexId":"70264582","displayToPublicDate":"2025-03-13T10:03:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20503,"text":"Journal of Fish of Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Overwinter survival of an estuarine resident fish (<i>Fundulus heteroclitus</i>) in North Carolina salt marsh creeks","title":"Overwinter survival of an estuarine resident fish (Fundulus heteroclitus) in North Carolina salt marsh creeks","docAbstract":"<p><span>The mummichog&nbsp;</span><i>Fundulus heteroclitus</i><span>&nbsp;is a trophically important fish inhabiting Atlantic coastal salt marshes, with few in situ estimates of overwinter survival throughout the species range. We estimated overwinter apparent survival rates of&nbsp;</span><i>F. heteroclitus</i><span>&nbsp;at the approximate mid-latitudinal species range [coastal North Carolina (USA)] in four tidal creeks that experience variable winter water temperatures. To estimate apparent survival, we fitted a Cormack-Jolly-Seber model to daily mark-resight data autonomously obtained from fish marked with passive integrated transponder tags. Creek, year, mean daily water temperature, change in mean daily temperature, fish length and fish condition were considered for effects on the modelled parameters: apparent survival (Φ) (product of true survival and site fidelity) and detection probability (</span><i>p</i><span>). Modelling showed that water temperature and fish metrics were not related to Φ. Water temperature was directly related to&nbsp;</span><i>p</i><span>, indicating reduced fish activity and thus reduced detection probability or poor antenna detection performance at low temperatures. Creek was related to Φ and&nbsp;</span><i>p</i><span>, and the creek most open to its downstream estuary (lacking a culvert) had lower rates than the others. Greater loss (fish mortality plus emigration) in this one creek may more effectively transfer production of&nbsp;</span><i>F</i><span>.&nbsp;</span><i>heteroclitus</i><span>&nbsp;to larger waterbodies via emigration or predation. Conversely, lower Φ may reflect reduced detection efficiency. The results suggest that&nbsp;</span><i>F</i><span>.&nbsp;</span><i>heteroclitus</i><span>&nbsp;survival is insensitive to variable winter water temperatures typical of thermal dynamics in shallow estuaries in this region of its range. Median creek-specific overwinter Φ rates (range of median values, 2 × 10</span><sup>−8</sup><span>, 0.04) were roughly equal to previously published rates for these creeks during the growing season (April–October). At these latitudes and with increasingly moderate winters, the results indicate that natural mortality could arise equally or more so from predation during the growing season than mechanisms such as starvation, direct mortality, thermal morbidity and stress-related susceptibility to predation resulting from intermittently low water temperatures during the overwinter season.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.70020","usgsCitation":"Rudershausen, P.J., and O'Donnell, M.J., 2025, Overwinter survival of an estuarine resident fish (Fundulus heteroclitus) in North Carolina salt marsh creeks: Journal of Fish of Biology, v. 107, no. 1, p. 188-200, https://doi.org/10.1111/jfb.70020.","productDescription":"13 p.","startPage":"188","endPage":"200","ipdsId":"IP-168105","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488323,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.70020","text":"Publisher Index Page"},{"id":483454,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.61589538108844,\n              34.739737828981234\n            ],\n            [\n              -76.80342045072118,\n              34.74057409854757\n            ],\n            [\n              -76.80219234343787,\n              34.68681714274115\n            ],\n            [\n              -76.61593931817359,\n              34.68548980814643\n            ],\n            [\n              -76.61589538108844,\n              34.739737828981234\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"107","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Rudershausen, P. J.","contributorId":352331,"corporation":false,"usgs":false,"family":"Rudershausen","given":"P.","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":930816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Donnell, Matthew J. 0000-0002-9089-2377","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":295467,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Matthew","middleInitial":"J.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":930817,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264664,"text":"70264664 - 2025 - Exposure of wild mammals inhabiting Alaska to influenza A(H5N1) virus","interactions":[],"lastModifiedDate":"2025-03-26T16:09:33.212626","indexId":"70264664","displayToPublicDate":"2025-03-13T09:40:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1493,"text":"Emerging Infectious Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Exposure of wild mammals inhabiting Alaska to influenza A(H5N1) virus","docAbstract":"<p><span>Serum samples from wild mammals inhabiting Alaska, USA, showed that 4 species, including&nbsp;</span><i>Ursus arctos</i><span>&nbsp;bears and&nbsp;</span><i>Vulpes vulpes</i><span>&nbsp;foxes, were exposed to influenza A(H5N1) viruses. Results indicated some mammals in Alaska survived H5N1 virus infection. Surveillance efforts may be improved by incorporating information on susceptibility and detectable immune responses among wild mammals.</span></p>","language":"English","publisher":"U.S. Centers for Disease Control and Prevention","doi":"10.3201/eid3104.241002","usgsCitation":"Ramey, A.M., Beckmen, K., Saafeld, D., Nicholson, K., Mangipane, B.A., Scott, L.C., Stallknecht, D., and Poulson, R., 2025, Exposure of wild mammals inhabiting Alaska to influenza A(H5N1) virus: Emerging Infectious Diseases, v. 31, no. 4, p. 804-808, https://doi.org/10.3201/eid3104.241002.","productDescription":"5 p.","startPage":"804","endPage":"808","ipdsId":"IP-167599","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":488689,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid3104.241002","text":"Publisher Index 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