{"pageNumber":"292","pageRowStart":"7275","pageSize":"25","recordCount":184757,"records":[{"id":70241201,"text":"cir1503 - 2023 - Update on U.S. Geological Survey Fundamental Science Practices","interactions":[],"lastModifiedDate":"2023-09-18T16:21:43.379431","indexId":"cir1503","displayToPublicDate":"2023-03-21T12:25:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1503","displayTitle":"Update on U.S. Geological Survey Fundamental Science Practices","title":"Update on U.S. Geological Survey Fundamental Science Practices","docAbstract":"<p>The U.S. Geological Survey (USGS) Fundamental Science Practices (FSP) are a set of standard principles fundamental to how USGS conducts and carries out its science activities and how resulting information products and data are reviewed, approved, and released. These policies, practices, philosophical premises, and operational principles serve as the foundation for all USGS research and monitoring activities and apply to all levels of the organization. The strength and future of the USGS depend on following these practices. USGS FSP were initiated in 2006 and fully implemented in 2009 to consolidate and standardize science practices across multiple scientific mission areas and science disciplines within the USGS.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/cir1503","usgsCitation":"Fundamental Science Practices Advisory Council, 2023, Update on U.S. Geological Survey Fundamental Science Practices: U.S. Geological Survey Circular 1503, 6 p., https://doi.org/10.3133/cir1503.","productDescription":"iv, 6 p.","startPage":"i-iv; 1-6","onlineOnly":"N","ipdsId":"IP-137019","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":414143,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1503/cir1503.pdf","text":"Report","size":"4.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1503"},{"id":414145,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1503/images"},{"id":414146,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1503/cir1503.xml"},{"id":414440,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/cir1503/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Circular 1503"},{"id":414132,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1503/coverthb.jpg"}],"contact":"<p><a href=\"mailto:gs_fspac@usgs.gov\" data-mce-href=\"mailto:gs_fspac@usgs.gov\">Fundamental Science Practices Advisory Council</a></p>","tableOfContents":"<ul><li>Background and General Description</li><li>USGS Scientific Research Planning</li><li>USGS Authorship of Scientific Information Products</li><li>Peer Review</li><li>Review, Approval, and Release of Information Products</li><li>Safeguarding Unpublished Data, Information, and Associated Scientific Materials</li><li>Scientific Data Management</li><li>Metadata for USGS Scientific Information Products Including Scientific Data</li><li>Review and Approval of Scientific Data for Release</li><li>Preservation Requirements for Digital Scientific Data</li><li>Review and Approval of Scientific Software for Release</li><li>Bureau Approving Officials</li><li>Fundamental Science Practices Advisory Council</li><li>Science Publishing Network</li><li>USGS Information Product Data System</li><li>USGS Publications Warehouse</li><li>USGS Science Data Catalog</li><li>Summary</li></ul>","publishedDate":"2023-03-21","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Fundamental Science Practices Advisory Council","contributorId":303051,"corporation":true,"usgs":false,"organization":"Fundamental Science Practices Advisory Council","id":866423,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70255238,"text":"70255238 - 2023 - Why hibernate? Tests of four hypotheses to explain intraspecific variation in hibernation phenology","interactions":[],"lastModifiedDate":"2024-06-13T15:29:53.521826","indexId":"70255238","displayToPublicDate":"2023-03-21T10:27:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Why hibernate? Tests of four hypotheses to explain intraspecific variation in hibernation phenology","docAbstract":"<ol class=\"\"><li>Hibernation is a remarkable behaviour deployed by a diverse array of endotherms within many clades that greatly reduces metabolic need, but also has somatic costs. Hibernation in modern endotherms is often assumed to be an adaptation allowing animals to avoid extreme thermal conditions or food shortages in seasonal environments. However, many animals hibernate when foraging conditions are energetically profitable, suggesting other causal factors influence hibernation behaviour.</li><li>Understanding the selection pressures responsible for intraspecific variation in the timing and duration of hibernation can help elucidate the relative evolutionary influences of the ultimate ecological causes of hibernation. We tested four previously proposed mechanistic hypotheses to explain intraspecific variation in hibernation phenology in the federally threatened northern Idaho ground squirrel (<i>Urocitellus brunneus</i>): (1) thermal tolerance, (2) food limitation, (3) predation avoidance and (4) sexual selection.</li><li>The predation avoidance and sexual selection hypotheses received the most support, although we also found some support for the thermal tolerance and food limitation hypotheses. Heavy squirrels increased hibernation duration regardless of environmental conditions, as predicted solely by the predation avoidance hypothesis. Reproductive males emerged from hibernation earlier in spring than other sex–age classes, a pattern predicted by the sexual selection hypothesis. Temperature and food availability explained a much smaller amount of the variation in hibernation behaviour, only partially supporting predictions of the thermal tolerance and food limitation hypotheses.</li><li>Our results indicate that animals navigate life-history trade-offs between energetic allocation to survival and reproduction via state-dependent optimization of hibernation phenology. Consequently, any future environmental changes that influence body condition will have implications for population ecology and life-history evolution of hibernating animals due to stark differences in daily survival probability between hibernation and the active season.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.14322","usgsCitation":"Allison, A., Conway, C.J., and Morris, A.E., 2023, Why hibernate? Tests of four hypotheses to explain intraspecific variation in hibernation phenology: Functional Ecology, v. 37, no. 6, p. 1580-1593, https://doi.org/10.1111/1365-2435.14322.","productDescription":"15 p.","startPage":"1580","endPage":"1593","ipdsId":"IP-144984","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":444136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.14322","text":"Publisher Index Page"},{"id":430143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Allison, Austin A Z.","contributorId":337876,"corporation":false,"usgs":false,"family":"Allison","given":"Austin A Z.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, Alice E","contributorId":339157,"corporation":false,"usgs":false,"family":"Morris","given":"Alice","email":"","middleInitial":"E","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222357,"text":"70222357 - 2023 - Environmental transmission of Pseudogymnoascus destructans to hibernating little brown bats","interactions":[],"lastModifiedDate":"2023-05-02T14:22:46.665575","indexId":"70222357","displayToPublicDate":"2023-03-21T09:16:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Environmental transmission of <i>Pseudogymnoascus destructans</i> to hibernating little brown bats","title":"Environmental transmission of Pseudogymnoascus destructans to hibernating little brown bats","docAbstract":"<p><span>Pathogens with persistent environmental stages can have devastating effects on wildlife communities. White-nose syndrome (WNS), caused by the fungus&nbsp;</span><i>Pseudogymnoascus destructans,</i><span>&nbsp;has caused widespread declines in bat populations of North America. In 2009, during the early stages of the WNS investigation and before molecular techniques had been developed to readily detect&nbsp;</span><i>P. destructans</i><span>&nbsp;in environmental samples, we initiated this study to assess whether&nbsp;</span><i>P. destructans</i><span>&nbsp;can persist in the hibernaculum environment in the absence of its conclusive bat host and cause infections in naive bats. We transferred little brown bats (</span><i>Myotis lucifugus</i><span>) from an unaffected winter colony in northwest Wisconsin to two&nbsp;</span><i>P. destructans</i><span>&nbsp;contaminated hibernacula in Vermont where native bats had been excluded</span><i>.</i><span>&nbsp;Infection with&nbsp;</span><i>P. destructans</i><span>&nbsp;was apparent on some bats within 8&nbsp;weeks following the introduction of unexposed bats to these environments, and mortality from WNS was confirmed by histopathology at both sites 14&nbsp;weeks following introduction. These results indicate that environmental exposure to&nbsp;</span><i>P. destructans</i><span>&nbsp;is sufficient to cause the infection and mortality associated with WNS in naive bats, which increases the probability of winter colony extirpation and complicates conservation efforts.</span></p>","language":"English","publisher":"Nature Publications","doi":"10.1038/s41598-023-31515-w","usgsCitation":"Hicks, A., Darling, S., Flewelling, J., von Linden, R., Meteyer, C., Redell, D., White, J.P., Redell, J.A., Smith, R., Blehert, D.S., Rayman-Metcalf, N.L., Hoyt, J.R., Okoniewski, J.C., and Langwig, K.E., 2023, Environmental transmission of Pseudogymnoascus destructans to hibernating little brown bats: Nature, v. 13, 4615, 7 p., https://doi.org/10.1038/s41598-023-31515-w.","productDescription":"4615, 7 p.","ipdsId":"IP-130671","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":444138,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-31515-w","text":"Publisher Index Page"},{"id":416621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hicks, Alan C.","contributorId":261313,"corporation":false,"usgs":false,"family":"Hicks","given":"Alan C.","affiliations":[{"id":52813,"text":"New York State Department of Environmental Conservation, 625 Broadway, Albany NY 12233-4754","active":true,"usgs":false}],"preferred":false,"id":819734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Darling, Scott","contributorId":261314,"corporation":false,"usgs":false,"family":"Darling","given":"Scott","affiliations":[{"id":52814,"text":"Vermont Fish and Wildlife Department, 271 North Main Street, Suite 215, Rutland, VT 05701","active":true,"usgs":false}],"preferred":false,"id":819735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flewelling, Joel","contributorId":261315,"corporation":false,"usgs":false,"family":"Flewelling","given":"Joel","email":"","affiliations":[{"id":52814,"text":"Vermont Fish and Wildlife Department, 271 North Main Street, Suite 215, Rutland, VT 05701","active":true,"usgs":false}],"preferred":false,"id":819736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von Linden, Ryan","contributorId":261316,"corporation":false,"usgs":false,"family":"von Linden","given":"Ryan","email":"","affiliations":[{"id":52813,"text":"New York State Department of Environmental Conservation, 625 Broadway, Albany NY 12233-4754","active":true,"usgs":false}],"preferred":false,"id":819737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meteyer, Carol 0000-0002-4007-3410","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":207215,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":819738,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Redell, Dave","contributorId":261317,"corporation":false,"usgs":false,"family":"Redell","given":"Dave","email":"","affiliations":[{"id":52816,"text":"Wisconsin Dept. Natural Resources, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":819739,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, J. Paul","contributorId":118346,"corporation":false,"usgs":false,"family":"White","given":"J.","email":"","middleInitial":"Paul","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":871366,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Redell, Jennifer A.","contributorId":117266,"corporation":false,"usgs":false,"family":"Redell","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":871367,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Ryan","contributorId":206257,"corporation":false,"usgs":false,"family":"Smith","given":"Ryan","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":819740,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":819741,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rayman-Metcalf, Noelle L.","contributorId":304691,"corporation":false,"usgs":false,"family":"Rayman-Metcalf","given":"Noelle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":819742,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hoyt, Joseph R.","contributorId":201314,"corporation":false,"usgs":false,"family":"Hoyt","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":819743,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Okoniewski, Joseph C.","contributorId":261319,"corporation":false,"usgs":false,"family":"Okoniewski","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":52813,"text":"New York State Department of Environmental Conservation, 625 Broadway, Albany NY 12233-4754","active":true,"usgs":false}],"preferred":false,"id":819744,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Langwig, Kate E.","contributorId":127717,"corporation":false,"usgs":false,"family":"Langwig","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":819745,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70241601,"text":"70241601 - 2023 - Evolving radon diffusion through earthen barriers at uranium waste disposal sites","interactions":[],"lastModifiedDate":"2023-03-27T10:54:56.625544","indexId":"70241601","displayToPublicDate":"2023-03-21T09:15:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2263,"text":"Journal of Environmental Radioactivity","active":true,"publicationSubtype":{"id":10}},"title":"Evolving radon diffusion through earthen barriers at uranium waste disposal sites","docAbstract":"<p><span>Field measurements of Rn-222 fluxes from the tops and bottoms of compacted clay radon barriers were used to calculate effective Rn diffusion coefficients (D</span><sub>Rn</sub><span>) at four uranium waste disposal sites in the western United States to assess cover performance after more than 20 years of service. Values of D</span><sub>Rn</sub><span>&nbsp;ranged from 7.4&nbsp;×&nbsp;10</span><sup>−7</sup><span>&nbsp;to 6.0&nbsp;×&nbsp;10</span><sup>−9</sup><span>&nbsp;m</span><sup>2</sup><span>/s, averaging 1.42&nbsp;×&nbsp;10</span><sup>−7</sup><span>. Water saturation (S</span><sub>W</sub><span>) from soil cores indicated that there was relatively little control of D</span><sub>Rn</sub><span>&nbsp;by S</span><sub>W</sub><span>, especially at higher moisture levels, in contrast to estimates from most steady-state diffusion models. This is attributed to preferential pathways intrinsic to construction of the barriers or to natural process that have developed over time including desiccation cracks, root channels, and insect burrows in the engineered earthen barriers. A modification to some models in which fast and slow pathway D</span><sub>Rn</sub><span>&nbsp;values are partitioned appears to give a good representation of the data; 4% of the fast pathway was needed to fit the data regression. For locations with high S</span><sub>w</sub><span>&nbsp;and highest D</span><sub>Rn</sub><span>&nbsp;(and fluxes) at each site, the proportion of fast pathway ranged from 1.7% to 34%, but for many locations with lower fluxes, little if any fast pathway was needed.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvrad.2023.107140","usgsCitation":"Fuhrmann, M., Caldwell, T., Likos, W.J., Waugh, W.J., Williams, M.M., and Benson, C.H., 2023, Evolving radon diffusion through earthen barriers at uranium waste disposal sites: Journal of Environmental Radioactivity, v. 262, 107140, 7 p., https://doi.org/10.1016/j.jenvrad.2023.107140.","productDescription":"107140, 7 p.","ipdsId":"IP-140005","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":444139,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2424456","text":"External Repository"},{"id":414702,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"262","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fuhrmann, Mark","contributorId":293204,"corporation":false,"usgs":false,"family":"Fuhrmann","given":"Mark","email":"","affiliations":[{"id":12536,"text":"U.S. Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":867453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Todd 0000-0003-4068-0648","orcid":"https://orcid.org/0000-0003-4068-0648","contributorId":217924,"corporation":false,"usgs":true,"family":"Caldwell","given":"Todd","email":"","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":867454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Likos, William J. 0000-0001-8177-6625","orcid":"https://orcid.org/0000-0001-8177-6625","contributorId":303390,"corporation":false,"usgs":false,"family":"Likos","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":867455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waugh, W. Jodi","contributorId":303391,"corporation":false,"usgs":false,"family":"Waugh","given":"W.","email":"","middleInitial":"Jodi","affiliations":[{"id":65785,"text":"RSI Entech","active":true,"usgs":false}],"preferred":false,"id":867456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Morgan M.","contributorId":303392,"corporation":false,"usgs":false,"family":"Williams","given":"Morgan","email":"","middleInitial":"M.","affiliations":[{"id":65785,"text":"RSI Entech","active":true,"usgs":false}],"preferred":false,"id":867457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benson, Craig H. 0000-0001-8871-382X","orcid":"https://orcid.org/0000-0001-8871-382X","contributorId":303394,"corporation":false,"usgs":false,"family":"Benson","given":"Craig","email":"","middleInitial":"H.","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":867458,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70255298,"text":"70255298 - 2023 - Understanding the spatiotemporal distribution of snow refugia in the rain-snow transition zone of north-central Idaho","interactions":[],"lastModifiedDate":"2024-06-14T12:24:56.984299","indexId":"70255298","displayToPublicDate":"2023-03-21T07:19:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the spatiotemporal distribution of snow refugia in the rain-snow transition zone of north-central Idaho","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Knowledge of snow cover distribution and disappearance dates over a wide range of scales is imperative for understanding hydrological dynamics and for habitat management of wildlife species that rely on snow cover. Identification of snow refugia, or places with relatively late snow disappearance dates (SDDs) compared to surrounding areas, is especially important as climate change alters snow cover timing and duration. The purpose of this study was to increase understanding of snow refugia in complex terrain spanning the rain-snow transition zone at fine spatial and temporal scales. To accomplish this objective, we used remote cameras to provide relatively high temporal and spatial resolution measurements on snowpack conditions. We built linear models to relate SDDs at the monitoring sites to topoclimatic and canopy cover metrics. One model to quantify SDDs included elevation, aspect, and an interaction between canopy cover and cold-air pooling potential. High-elevation, north-facing sites in cold-air pools (CAPs) had the latest SDDs, but isolated lower-elevation points also exhibited relatively late potential SDDs. Importantly, canopy cover had a much stronger effect on SDDs in CAPs than in non-CAPs, indicating that best practices in forest management for snow refugia could vary across microtopography. A second model that included<span>&nbsp;</span><i>in situ</i><span>&nbsp;</span>hydroclimate observations (December<i>–</i>February (DJF) temperature and March 1 snow depth) indicated that March 1 snow depth had little impact on SDD at the coldest winter temperatures, and that DJF temperatures had a stronger effect on SDD at lower snow depths, implying that the relative importance of snowfall and temperature could vary across hydroclimatic contexts in their impact on snow refugia. This new understanding of factors influencing snow refugia can guide forest management actions to increase snow retention and inform management of snow-dependent wildlife species in complex terrain.</p></div>","language":"English","publisher":"IOPScience","doi":"10.1088/1748-9326/acbb90","usgsCitation":"Strickfaden, K.M., Marshall, A.M., Svancara, L.K., Dugger, K., and Link, T.E., 2023, Understanding the spatiotemporal distribution of snow refugia in the rain-snow transition zone of north-central Idaho: Environmental Research Letters, v. 18, 044014, 11 p., https://doi.org/10.1088/1748-9326/acbb90.","productDescription":"044014, 11 p.","ipdsId":"IP-147918","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":444142,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/acbb90","text":"Publisher Index Page"},{"id":430200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Strickfaden, Kaitlyn M.","contributorId":339386,"corporation":false,"usgs":false,"family":"Strickfaden","given":"Kaitlyn","email":"","middleInitial":"M.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":904127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marshall, Adrienne M.","contributorId":339387,"corporation":false,"usgs":false,"family":"Marshall","given":"Adrienne","email":"","middleInitial":"M.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":904128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Svancara, Leona K.","contributorId":339389,"corporation":false,"usgs":false,"family":"Svancara","given":"Leona","email":"","middleInitial":"K.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":904129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":904130,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Link, Timothy E.","contributorId":339393,"corporation":false,"usgs":false,"family":"Link","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":904131,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70249179,"text":"70249179 - 2023 - Extensive regional variation in the phenology of insects and their response to temperature across North America","interactions":[],"lastModifiedDate":"2023-09-29T12:29:08.333477","indexId":"70249179","displayToPublicDate":"2023-03-21T07:02:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Extensive regional variation in the phenology of insects and their response to temperature across North America","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Climate change models often assume similar responses to temperatures across the range of a species, but local adaptation or phenotypic plasticity can lead plants and animals to respond differently to temperature in different parts of their range. To date, there have been few tests of this assumption at the scale of continents, so it is unclear if this is a large-scale problem. Here, we examined the assumption that insect taxa show similar responses to temperature at 96 sites in grassy habitats across North America. We sampled insects with Malaise traps during 2019–2021 (<i>N</i> = 1041 samples) and examined the biomass of insects in relation to temperature and time of season. Our samples mostly contained Diptera (33%), Lepidoptera (19%), Hymenoptera (18%), and Coleoptera (10%). We found strong regional differences in the phenology of insects and their response to temperature, even within the same taxonomic group, habitat type, and time of season. For example, the biomass of nematoceran flies increased across the season in the central part of the continent, but it only showed a small increase in the Northeast and a seasonal decline in the Southeast and West. At a smaller scale, insect biomass at different traps operating on the same days was correlated up to ~75 km apart. Large-scale geographic and phenological variation in insect biomass and abundance has not been studied well, and it is a major source of controversy in previous analyses of insect declines that have aggregated studies from different locations and time periods. Our study illustrates that large-scale predictions about changes in insect populations, and their causes, will need to incorporate regional and taxonomic differences in the response to temperature.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4036","usgsCitation":"Dunn, P., Ahmed, I., Armstrong, E., Barlow, N., Barnard, M., Belisle, M., Benson, T., Berzins, L., Boynton, C., Brown, T.A., Cady, M., Cameron, K., Chen, X., Clark, B., Clotfelter, E., Cromwell, K., Dawson, R., Denton, E., Forbes, A., Fowler, K., Gandhi, K., Garant, D., Hiebert, M., Houchen, C., Houtz, J., Imlay, T., Inouye, B., Inouye, D., Jackson, M., Jacobson, A., Jayd, K., Juteau, C., Kautz, A., Killian, C., Komatsu, K.J., Larsen, K., Laughlin, A., Levesque-Beaudin, V., Leys, R., Long, E., Lougheed, S., Mackenzie, S., Marangelo, J., Miller, C., Molano-Flores, B., Morrissey, C., Nicholls, E., Orlofske, J., Pearse, I., Peck, K., Pelletier, F., Pitt, A., Poston, J., Racke, D., Randall, J.A., Richardson, M., Rooney, O., Ruegg, A.R., Rush, S., Ryan, S.J., Sadowski, M., Schoepf, I., Schulz, L., Shea, B., Sheehan, T., Siefferman, L., Sikes, D., Stanback, M., Styrsky, J., Styrsky, J., Taff, C., Uehling, J., Uvino, K., Wassmer, T., Weglarz, K., Weinberger, M., Wenzel, J., and Whittingham, L., 2023, Extensive regional variation in the phenology of insects and their response to temperature across North America: Ecology, v. 104, no. 5, e4036, 17 p., https://doi.org/10.1002/ecy.4036.","productDescription":"e4036, 17 p.","ipdsId":"IP-116242","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":444143,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.4036","text":"Publisher Index Page"},{"id":421386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United 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,{"id":70241616,"text":"70241616 - 2023 - Integrating terrestrial and aquatic ecosystems to constrain estimates of land-atmosphere carbon exchange","interactions":[],"lastModifiedDate":"2023-03-24T11:57:44.122655","indexId":"70241616","displayToPublicDate":"2023-03-21T06:53:25","publicationYear":"2023","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":"Integrating terrestrial and aquatic ecosystems to constrain estimates of land-atmosphere carbon exchange","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>In this Perspective, we put forward an integrative framework to improve estimates of land-atmosphere carbon exchange based on the accumulation of carbon in the landscape as constrained by its lateral export through rivers. The framework uses the watershed as the fundamental spatial unit and integrates all terrestrial and aquatic ecosystems as well as their hydrologic carbon exchanges. Application of the framework should help bridge the existing gap between land and atmosphere-based approaches and offers a platform to increase communication and synergy among the terrestrial, aquatic, and atmospheric research communities that is paramount to advance landscape carbon budget assessments.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41467-023-37232-2","usgsCitation":"Casas-Ruiz, J., Bodmer, P., Bona, K.A., Butman, D., Couturier, M., Emilson, E.J., Finlay, K., Genet, H., Hayes, D., Karlsson, J., Pare, D., Peng, C., Striegl, R.G., Webb, J., Wei, X., Ziegler, S., and Del Giorgio, P., 2023, Integrating terrestrial and aquatic ecosystems to constrain estimates of land-atmosphere carbon exchange: Nature Communications, v. 14, 1571, 17 p., https://doi.org/10.1038/s41467-023-37232-2.","productDescription":"1571, 17 p.","ipdsId":"IP-146296","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":444145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-37232-2","text":"Publisher Index Page"},{"id":414690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Casas-Ruiz, Joan","contributorId":303397,"corporation":false,"usgs":false,"family":"Casas-Ruiz","given":"Joan","email":"","affiliations":[{"id":65789,"text":"Research Group on Ecology of Inland Waters, Institute of Aquatic Ecology, University of Girona, Girona, Spain","active":true,"usgs":false}],"preferred":false,"id":867499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodmer, Pascal","contributorId":303398,"corporation":false,"usgs":false,"family":"Bodmer","given":"Pascal","email":"","affiliations":[{"id":65790,"text":"Groupe de Recherche Interuniversitaire en Limnologie (GRIL), Département des sciences biologiques,  Université du Québec à Montréal, Montréal, Québec, Canada","active":true,"usgs":false}],"preferred":false,"id":867500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bona, Kelly Ann","contributorId":303399,"corporation":false,"usgs":false,"family":"Bona","given":"Kelly","email":"","middleInitial":"Ann","affiliations":[{"id":65791,"text":"Environment and Climate Change Canada, Gatineau, Quebec, Canada","active":true,"usgs":false}],"preferred":false,"id":867501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butman, David","contributorId":224754,"corporation":false,"usgs":false,"family":"Butman","given":"David","affiliations":[{"id":16962,"text":"U. Washington","active":true,"usgs":false}],"preferred":false,"id":867502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Couturier, Mathilde","contributorId":303400,"corporation":false,"usgs":false,"family":"Couturier","given":"Mathilde","email":"","affiliations":[{"id":65790,"text":"Groupe de Recherche Interuniversitaire en Limnologie (GRIL), Département des sciences biologiques,  Université du Québec à Montréal, Montréal, Québec, Canada","active":true,"usgs":false}],"preferred":false,"id":867503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Emilson, Erik J.S.","contributorId":245463,"corporation":false,"usgs":false,"family":"Emilson","given":"Erik","email":"","middleInitial":"J.S.","affiliations":[{"id":49199,"text":"Natural Resources Canada, Canadian Forest ServiceGreat Lakes Forestry Centre, Sault Ste. 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,{"id":70241783,"text":"70241783 - 2023 - Prolonged influence of urbanization on landslide susceptibility","interactions":[],"lastModifiedDate":"2023-06-27T16:45:19.132676","indexId":"70241783","displayToPublicDate":"2023-03-21T06:50:53","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Prolonged influence of urbanization on landslide susceptibility","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Landslides pose a threat to life and infrastructure and are influenced by anthropogenic modifications associated with land development. These modifications can affect susceptibility to landslides, and thus quantifying their influence on landslide occurrence can help design sustainable development efforts. Although landslide susceptibility has been shown to increase following urban expansion, the long-lasting effect of urbanization on landslide susceptibility remains largely unquantified. Hence, susceptibility maps developed based on inventories from non-urbanized areas may incorrectly evaluate the hazard in urbanized areas. To quantify this effect, we analyzed a landslide inventory from southwestern Pennsylvania, where the pulse of urbanization occurred more than a decade before the inventory was created. Using road density as a proxy for urbanization, the study area was divided into urbanized and non-urbanized areas. Susceptibility patterns were computed using statistical analyses of a post-urbanization landslide inventory together with maps of topographic, land cover, and geologic factors. A pre-urbanization landslide inventory was used as a control. Our findings indicate that urbanization has a decades-long effect on landslide susceptibility, where urbanized areas are generally more susceptible to landslides. In urbanized areas landslides are strongly associated with distance from roads and topographic curvature, whereas in non-urbanized landslides are strongly associated with stratigraphic formation and distance from streams. The consistent differences in susceptibility patterns between urbanized and non-urbanized areas indicate that urbanization has a long-lasting effect on landslide susceptibility and that susceptibility estimates should be made separately for these different environments to account for the persistent influence of urbanization.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10346-023-02050-6","usgsCitation":"Rohan, T., Shelef, E., Mirus, B., and Coleman, T., 2023, Prolonged influence of urbanization on landslide susceptibility: Landslides, v. 20, p. 1433-1447, https://doi.org/10.1007/s10346-023-02050-6.","productDescription":"15 p.","startPage":"1433","endPage":"1447","ipdsId":"IP-137866","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":414764,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.17340193949869,\n              40.579452133548045\n            ],\n            [\n              -80.17340193949869,\n              40.28689526175373\n            ],\n            [\n              -79.7753187844297,\n              40.28689526175373\n            ],\n            [\n              -79.7753187844297,\n              40.579452133548045\n            ],\n            [\n              -80.17340193949869,\n              40.579452133548045\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Rohan, Tyler","contributorId":303562,"corporation":false,"usgs":false,"family":"Rohan","given":"Tyler","email":"","affiliations":[{"id":39484,"text":"University of Pittsburg","active":true,"usgs":false}],"preferred":false,"id":867552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelef, Eitan","contributorId":303563,"corporation":false,"usgs":false,"family":"Shelef","given":"Eitan","email":"","affiliations":[{"id":39484,"text":"University of Pittsburg","active":true,"usgs":false}],"preferred":false,"id":867553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":867554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coleman, Tim","contributorId":303564,"corporation":false,"usgs":false,"family":"Coleman","given":"Tim","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":867555,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70241605,"text":"70241605 - 2023 - Classifying freshwater salinity regimes in central and western U.S. streams and rivers","interactions":[],"lastModifiedDate":"2023-03-24T11:45:02.912093","indexId":"70241605","displayToPublicDate":"2023-03-21T06:42:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Classifying freshwater salinity regimes in central and western U.S. streams and rivers","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Freshwater salinization of rivers is occurring across the globe because of nonpoint source loading of salts from anthropogenic activities such as agriculture, urbanization, and resource extraction that accelerate weathering and release salts. Multidecadal trends in river salinity are well characterized, yet our understanding of annual regimes of salinity in rivers draining diverse central and western U.S. landscapes and their associated catchment attributes is limited. We classified annual salinity regimes in 242 stream locations through dynamic time warping and fuzzy c-medoids clustering of salinity time series. We found two dominant regimes in salinity characterized by an annual<span>&nbsp;</span><i>summer–fall peak</i><span>&nbsp;</span>or<span>&nbsp;</span><i>spring decline</i>. Using random forest regression, we found that precipitation amount, stream slope, and soil salinity were the most important predictors of salinity regime classification. Advancing our understanding of salinity regimes in rivers will improve our ability to predict and mitigate the effects of salinization in freshwater ecosystems through management interventions.</p></div></div>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lol2.10251","usgsCitation":"Bolotin, L., Summers, B., Savoy, P., and Blaszczak, J., 2023, Classifying freshwater salinity regimes in central and western U.S. streams and rivers: Limnology and Oceanography Letters, v. 8, no. 1, p. 103-111, https://doi.org/10.1002/lol2.10251.","productDescription":"9 p.","startPage":"103","endPage":"111","ipdsId":"IP-135747","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":444147,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.10251","text":"Publisher Index Page"},{"id":414688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -126.648366924961,\n              49.896434024635596\n            ],\n            [\n              -126.648366924961,\n              27.852472947447197\n            ],\n            [\n              -90.10158788853641,\n              27.852472947447197\n            ],\n            [\n              -90.10158788853641,\n              49.896434024635596\n            ],\n            [\n              -126.648366924961,\n              49.896434024635596\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Bolotin, Lauren 0000-0002-0295-9544","orcid":"https://orcid.org/0000-0002-0295-9544","contributorId":303395,"corporation":false,"usgs":false,"family":"Bolotin","given":"Lauren","email":"","affiliations":[{"id":65787,"text":"University of Nevada, Reno, Department of Natural Resources and Environmental Science, Reno, NV, USA","active":true,"usgs":false}],"preferred":false,"id":867465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Summers, Betsy 0000-0001-9106-1316","orcid":"https://orcid.org/0000-0001-9106-1316","contributorId":303396,"corporation":false,"usgs":false,"family":"Summers","given":"Betsy","email":"","affiliations":[{"id":65788,"text":"University of New Mexico, Department of Civil, Construction and Environmental Engineering, Albuquerque, NM, USA","active":true,"usgs":false}],"preferred":false,"id":867466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savoy, Philip 0000-0002-6075-837X","orcid":"https://orcid.org/0000-0002-6075-837X","contributorId":300288,"corporation":false,"usgs":true,"family":"Savoy","given":"Philip","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":867467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blaszczak, Joanna 0000-0001-5122-0829","orcid":"https://orcid.org/0000-0001-5122-0829","contributorId":225159,"corporation":false,"usgs":false,"family":"Blaszczak","given":"Joanna","email":"","affiliations":[{"id":41055,"text":"Natural Resources and Environmental Science, University of Nevada, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":867468,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70248698,"text":"70248698 - 2023 - Extracting exotic annual grass phenology and climate relations in western U.S. rangeland ecoregions","interactions":[],"lastModifiedDate":"2023-09-18T15:11:46.537668","indexId":"70248698","displayToPublicDate":"2023-03-20T10:08:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Extracting exotic annual grass phenology and climate relations in western U.S. rangeland ecoregions","docAbstract":"<p><span>This research builds upon the extensive body of work to model exotic annual grass (EAG) characteristics and invasion. EAGs increase wildland fire risk and intensifies wildland fire behavior in western U.S. rangelands. Therefore, understanding characteristics of EAG growth increases understanding of its dynamics and can inform rangeland management decisions. To better understand EAG phenology and spatial distribution, monthly weather (precipitation, minimum and maximum temperature) variables were analyzed for 24 level III ecoregions. This research characterizes EAGs’ phenology identified by a normalized difference vegetation index (NDVI) threshold-based interpolation technique. An EAG phenology metric model was used to estimate a growing season dynamic for the years 2017–2021 for shrub and herbaceous land cover types in the western conterminous United States (66% of the area). The EAG phenology metrics include six growing season metrics such as start of season time, end of season time, and time of maximum NDVI during the growing season. The models’ cross validation results for Pearson’s&nbsp;</span><i>r</i><span>&nbsp;ranged from 0.88 to 0.95. Increased understanding of the effects that weather conditions have on EAG growth and spatial distribution can help land managers develop time-sensitive plans to protect entities deemed valuable to society like native habitat, wildlife, recreational areas, and air quality.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-023-03021-7","usgsCitation":"Benedict, T.D., Boyte, S., Dahal, D., Shrestha, D., Parajuli, S., and Megard, L.J., 2023, Extracting exotic annual grass phenology and climate relations in western U.S. rangeland ecoregions: Biological Invasions, v. 25, no. 6, p. 2023-2041, https://doi.org/10.1007/s10530-023-03021-7.","productDescription":"19 p.","startPage":"2023","endPage":"2041","ipdsId":"IP-142073","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":444150,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s10530-023-03021-7","text":"Publisher Index Page"},{"id":420892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western rangeland ecoregions","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.65411238548961,\n              31.65662850136495\n            ],\n            [\n              -104.9541814790613,\n              30.58151996545881\n            ],\n            [\n              -103.96447875595098,\n              29.147693161865604\n            ],\n            [\n              -103.06464516959142,\n              29.01291370558677\n            ],\n            [\n              -101.94430938864508,\n              29.88249002262684\n            ],\n            [\n              -103.45985376651976,\n              33.39173604645855\n            ],\n            [\n              -99.9051666033819,\n              36.453592386571685\n            ],\n            [\n              -104.37905123731514,\n              40.4174214338594\n            ],\n            [\n              -102.76693247266672,\n              43.27871255434721\n            ],\n            [\n              -103.45312273615582,\n              43.867000211596064\n            ],\n            [\n              -103.06932872484526,\n              47.50819129704254\n            ],\n            [\n              -104.24197507604552,\n              48.955629038432335\n            ],\n            [\n              -119.90989162686165,\n              48.90834227423642\n            ],\n            [\n              -124.03359295438983,\n              39.59312960077685\n            ],\n            [\n              -121.36210304368723,\n              35.84218979482037\n            ],\n            [\n              -120.6017562531803,\n              34.4275595810672\n            ],\n            [\n              -117.12832408303154,\n              33.146855326580635\n            ],\n            [\n              -116.70587798426669,\n              32.4966470230782\n            ],\n            [\n              -114.4290589092368,\n              32.50784479236498\n            ],\n            [\n              -110.84210298257005,\n              31.247145770122813\n            ],\n            [\n              -108.1485377455515,\n              31.368189624235015\n            ],\n            [\n              -108.17048369674617,\n              31.766144953613477\n            ],\n            [\n              -106.65411238548961,\n              31.65662850136495\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"25","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Benedict, Trenton D 0000-0001-8672-2204","orcid":"https://orcid.org/0000-0001-8672-2204","contributorId":256662,"corporation":false,"usgs":false,"family":"Benedict","given":"Trenton","email":"","middleInitial":"D","affiliations":[{"id":51826,"text":"KBR, Inc. Contractor to the USGS Earth Resources Observation & Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":883232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyte, Stephen P. 0000-0002-5462-3225","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":205374,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":883233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dahal, Devendra 0000-0001-9594-1249","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":192023,"corporation":false,"usgs":false,"family":"Dahal","given":"Devendra","affiliations":[],"preferred":false,"id":883234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shrestha, Dinesh 0000-0003-2606-8524","orcid":"https://orcid.org/0000-0003-2606-8524","contributorId":257263,"corporation":false,"usgs":false,"family":"Shrestha","given":"Dinesh","email":"","affiliations":[{"id":51997,"text":"KBR Inc, contractor to  the USGS Earth Resources Observation & Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":883235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parajuli, Sujan 0000-0002-1652-3063","orcid":"https://orcid.org/0000-0002-1652-3063","contributorId":275653,"corporation":false,"usgs":false,"family":"Parajuli","given":"Sujan","affiliations":[{"id":56871,"text":"KBR Inc. Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":883236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Megard, Logan J. 0000-0002-0150-4521","orcid":"https://orcid.org/0000-0002-0150-4521","contributorId":275655,"corporation":false,"usgs":false,"family":"Megard","given":"Logan","email":"","middleInitial":"J.","affiliations":[{"id":56872,"text":"C2G Inc. Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":883237,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70266729,"text":"70266729 - 2023 - Multistage hierarchical capture–recapture models","interactions":[],"lastModifiedDate":"2025-05-12T14:59:43.43047","indexId":"70266729","displayToPublicDate":"2023-03-20T09:57:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Multistage hierarchical capture–recapture models","docAbstract":"<p><span>Ecologists increasingly rely on Bayesian methods to fit capture–recapture models. Capture–recapture models are used to estimate abundance while accounting for imperfect detectability in individual-level data. A variety of implementations exist for such models, including integrated likelihood, parameter-expanded data augmentation, and combinations of those. Capture–recapture models with latent random effects can be computationally intensive to fit using conventional Bayesian algorithms. We identify alternative specifications of capture–recapture models by considering a conditional representation of the model structure. The resulting alternative model can be specified in a way that leads to more stable computation and allows us to fit the desired model in stages while leveraging parallel computing resources. Our model specification includes a component for the capture history of detected individuals and another component for the sample size which is random before observed. We demonstrate this approach using three examples including simulation and two datasets resulting from capture–recapture studies of different species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/env.2799","usgsCitation":"Hooten, M., Schwob, M., Johnson, D., and Ivan, J., 2023, Multistage hierarchical capture–recapture models, v. 34, no. 6, e2799, 14 p., https://doi.org/10.1002/env.2799.","productDescription":"e2799, 14 p.","ipdsId":"IP-129867","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":936613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwob, Michael 0000-0001-6367-2013","orcid":"https://orcid.org/0000-0001-6367-2013","contributorId":315373,"corporation":false,"usgs":false,"family":"Schwob","given":"Michael","email":"","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":936614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Devin","contributorId":346945,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":936615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivan, Jacob S.","contributorId":200243,"corporation":false,"usgs":false,"family":"Ivan","given":"Jacob S.","affiliations":[],"preferred":false,"id":936616,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70241438,"text":"70241438 - 2023 - Invasive Round Goby in the Mohawk and Hudson Rivers: What’s the latest?","interactions":[],"lastModifiedDate":"2023-03-20T14:59:25.897924","indexId":"70241438","displayToPublicDate":"2023-03-20T09:51:20","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Invasive Round Goby in the Mohawk and Hudson Rivers: What’s the latest?","docAbstract":"<p>The Round Goby (<i>Neogobius melanostomus</i>) is an invasive benthic fish indigenous to the Ponto-Caspian region of Eurasia. It recently colonized the Great Lakes and has expanded eastward through the New York State Canal System over the past decade. The species was first documented in the Mohawk River watershed in 2014 and was found in the Hudson River in 2021. Round Goby can adversely affect aquatic ecosystems in many ways such as outcompeting native benthic fishes, consuming the eggs of nest-building species such as Smallmouth Bass (<i>Micropterus dolomieu</i>), and transferring contaminants to higher trophic levels (e.g., desirable gamefish). They can also carry the viral hemorrhagic septicemia (VHS) virus which has been linked to fish kills in New York and some evidence suggests Round Goby are an important vector in avian botulism outbreaks. However, the presence of Round Goby has also been linked to faster growth rate and larger maximum size of some predators such as Smallmouth Bass. ed watersheds of the northeastern United States.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mohawk Watershed Symposium 2023 abstracts and program","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"Mohawk Watershed Symposium 2023","conferenceDate":"March 17, 2023","conferenceLocation":"Schenectady, NY","language":"English","publisher":"Union College","usgsCitation":"George, S.D., Baldigo, B., Rees, C., Bartron, M.L., Pendleton, R., and Pearson, S., 2023, Invasive Round Goby in the Mohawk and Hudson Rivers: What’s the latest?, <i>in</i> Mohawk Watershed Symposium 2023 abstracts and program, Schenectady, NY, March 17, 2023, p. 21-23.","productDescription":"3 p.","startPage":"21","endPage":"23","ipdsId":"IP-148828","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":414370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414368,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://minerva.union.edu/garverj/mws/2023/symposium.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Hudson River, Mohawk River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.2056012272887,\n              44.87799282933736\n            ],\n            [\n              -76.62652177537367,\n              44.87799282933736\n            ],\n            [\n              -76.62652177537367,\n              41.997425542519494\n            ],\n            [\n              -73.2056012272887,\n              41.997425542519494\n            ],\n            [\n              -73.2056012272887,\n              44.87799282933736\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rees, Christopher B.","contributorId":196308,"corporation":false,"usgs":false,"family":"Rees","given":"Christopher B.","affiliations":[],"preferred":false,"id":866854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartron, Meredith L.","contributorId":149109,"corporation":false,"usgs":false,"family":"Bartron","given":"Meredith","email":"","middleInitial":"L.","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false},{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":866855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pendleton, Richard M.","contributorId":273135,"corporation":false,"usgs":false,"family":"Pendleton","given":"Richard M.","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":866856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearson, Steven","contributorId":303228,"corporation":false,"usgs":false,"family":"Pearson","given":"Steven","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":866857,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70248116,"text":"70248116 - 2023 - The Associate Editor in the peer review process—what's that?","interactions":[],"lastModifiedDate":"2023-09-05T12:21:43.26922","indexId":"70248116","displayToPublicDate":"2023-03-20T07:19:32","publicationYear":"2023","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":"The Associate Editor in the peer review process—what's that?","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22395","usgsCitation":"Nicholson, K., Paszkowski, C., Kuenzi, A., Schoenecker, K., and Merrill, E., 2023, The Associate Editor in the peer review process—what's that?: Journal of Wildlife Management, v. 87, no. 4, e22395, 4 p., https://doi.org/10.1002/jwmg.22395.","productDescription":"e22395, 4 p.","ipdsId":"IP-149459","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":444154,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22395","text":"Publisher Index Page"},{"id":420467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Nicholson, Kerry 0000-0001-9951-9897","orcid":"https://orcid.org/0000-0001-9951-9897","contributorId":329033,"corporation":false,"usgs":false,"family":"Nicholson","given":"Kerry","email":"","affiliations":[{"id":50377,"text":"Alaska Dept of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":881952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paszkowski, Cynthia","contributorId":329034,"corporation":false,"usgs":false,"family":"Paszkowski","given":"Cynthia","email":"","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":881953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuenzi, Amy 0000-0003-2238-3703","orcid":"https://orcid.org/0000-0003-2238-3703","contributorId":329035,"corporation":false,"usgs":false,"family":"Kuenzi","given":"Amy","email":"","affiliations":[{"id":49605,"text":"Montana Technological University","active":true,"usgs":false}],"preferred":false,"id":881954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":881955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merrill, Evelyn 0000-0001-7737-958X","orcid":"https://orcid.org/0000-0001-7737-958X","contributorId":329036,"corporation":false,"usgs":false,"family":"Merrill","given":"Evelyn","email":"","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":881956,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241606,"text":"70241606 - 2023 - A targeted annual warning system developed for the conservation of a sagebrush indicator species","interactions":[],"lastModifiedDate":"2023-03-24T12:07:59.966599","indexId":"70241606","displayToPublicDate":"2023-03-20T07:02:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"A targeted annual warning system developed for the conservation of a sagebrush indicator species","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">A fundamental goal of population ecologists is to identify drivers responsible for temporal variation in abundance. Understanding whether variation is associated with environmental stochasticity or anthropogenic disturbances, which are more amenable to management action, is crucial yet difficult to achieve. Here, we present a hierarchical monitoring framework that models rates of change in abundance from spatially structured populations and identifies when local declines fall out of synchrony with trends at larger spatial scales. Importantly, the framework provides signals that alert managers to the categorical significance of observed declines while avoiding signals where declines result from drivers operating at larger spatial scales (e.g., periodic reductions in primary productivity owing to drought). We demonstrate utility through application to a rapidly declining sagebrush (<i>Artemisia</i><span>&nbsp;</span>spp.) indicator species (greater sage-grouse;<span>&nbsp;</span><i>Centrocercus urophasianus</i>) using 30&nbsp;years (1990–2019) of count data collected from&nbsp;greater than&nbsp;4,400 leks (habitual breeding sites) distributed across the western United States. Results revealed population declines, immediately preceding triggers (2–4-year period), ranging between 58 and 68%. Conversely, population trends unassociated with triggers showed little-to-no sign of decline. Retrospective application of the monitoring framework indicated an average annual rate of 1.7% of leks or 1.3% of neighborhood clusters (lek aggregations) would have required management intervention to reverse range-wide declines and stabilize the U.S. population as a whole.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2023.110097","usgsCitation":"Prochazka, B.G., Coates, P.S., O’Donnell, M.S., Edmunds, D.R., Monroe, A., Ricca, M.A., Wann, G.T., Hanser, S.E., Wiechman, L.A., Doherty, K., Chenaille, M.P., and Aldridge, C.L., 2023, A targeted annual warning system developed for the conservation of a sagebrush indicator species: Ecological Indicators, v. 148, 110097, 13 p., https://doi.org/10.1016/j.ecolind.2023.110097.","productDescription":"110097, 13 p.","ipdsId":"IP-133976","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":444157,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2023.110097","text":"Publisher Index Page"},{"id":414692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -102.3113073955999,\n              49.171952731253555\n            ],\n            [\n              -125.24089712758736,\n              49.171952731253555\n            ],\n            [\n              -125.24089712758736,\n              35.204204195605186\n            ],\n            [\n              -102.3113073955999,\n              35.204204195605186\n            ],\n            [\n              -102.3113073955999,\n              49.171952731253555\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"148","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867473,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wann, Gregory T. 0000-0001-9076-7819 wanng@usgs.gov","orcid":"https://orcid.org/0000-0001-9076-7819","contributorId":3855,"corporation":false,"usgs":true,"family":"Wann","given":"Gregory","email":"wanng@usgs.gov","middleInitial":"T.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867475,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science 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mchenaille@usgs.gov","orcid":"https://orcid.org/0000-0003-3387-7899","contributorId":194661,"corporation":false,"usgs":true,"family":"Chenaille","given":"Michael","email":"mchenaille@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867479,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":867480,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70242878,"text":"70242878 - 2023 - Stream restoration produces transitory, not permanent, changes to fish assemblages at compensatory mitigation sites","interactions":[],"lastModifiedDate":"2023-07-24T16:43:22.658419","indexId":"70242878","displayToPublicDate":"2023-03-20T06:46:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Stream restoration produces transitory, not permanent, changes to fish assemblages at compensatory mitigation sites","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>There is inconsistent evidence that stream restoration projects lead to recovery of ecosystem attributes, especially stream biota. While some assessments have documented desired changes in fish community metrics in the first years following restoration, longer-term studies have not always corroborated these findings. In this study, we used data and monitoring reports submitted to federal regulators by stream mitigation consultants to examine whether in-stream restoration activities led to changes in fish community attributes at 23 compensatory mitigation projects representing 53 sampling sites in Georgia, United States over 7 years of post-restoration monitoring. Modeling results indicated that abundance and species richness of fishes generally increased in the first years after restoration before decreasing to baseline levels by the seventh year. This pattern was consistent for models considering sensitive fish taxa, as well as at sites across a range of agricultural and forested land cover percentages. However, the effect of restoration on species richness was dampened in larger streams and at more urbanized locations. A community trajectory analysis supported the findings that fish community change was transitory at most sites. Remote estimation of canopy cover change at restoration sites suggested that the hump-shaped response may be driven by increased light availability during the immediate-post restoration period, followed by subsequent re-shading of stream channels by riparian plantings. Our analysis indicates that reach-level manipulation of streams should not be expected to induce long-term changes in fish communities, and that publicly available monitoring reports may be leveraged to address questions of stream restoration efficacy.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/rec.13903","usgsCitation":"Stowe, E.S., Petersen, K.N., Rao, S., Walther, E.J., Freeman, M., and Wenger, S., 2023, Stream restoration produces transitory, not permanent, changes to fish assemblages at compensatory mitigation sites: Restoration Ecology, v. 31, no. 5, e13903, 13 p., https://doi.org/10.1111/rec.13903.","productDescription":"e13903, 13 p.","ipdsId":"IP-147610","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":444160,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.13903","text":"Publisher Index Page"},{"id":419263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Stowe, Edward S.","contributorId":273256,"corporation":false,"usgs":false,"family":"Stowe","given":"Edward","email":"","middleInitial":"S.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":870085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, Kelly N.","contributorId":261735,"corporation":false,"usgs":false,"family":"Petersen","given":"Kelly","email":"","middleInitial":"N.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":870086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rao, Shishir","contributorId":304287,"corporation":false,"usgs":false,"family":"Rao","given":"Shishir","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":870087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walther, Eric J.","contributorId":304288,"corporation":false,"usgs":false,"family":"Walther","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":870088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":870089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":870090,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241816,"text":"70241816 - 2023 - Above- and belowground biomass carbon stock and net primary productivity maps for tidal herbaceous marshes of the United States","interactions":[],"lastModifiedDate":"2023-03-28T14:32:55.230826","indexId":"70241816","displayToPublicDate":"2023-03-20T06:41:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Above- and belowground biomass carbon stock and net primary productivity maps for tidal herbaceous marshes of the United States","docAbstract":"<div class=\"html-p\">Accurate assessments of greenhouse gas emissions and carbon sequestration in natural ecosystems are necessary to develop climate mitigation strategies. Regional and national-level assessments of carbon sequestration require high-resolution data to be available for large areas, increasing the need for remote sensing products that quantify carbon stocks and fluxes. The Intergovernmental Panel on Climate Change (IPCC) provides guidelines on how to quantify carbon flux using land cover land change and biomass carbon stock information. Net primary productivity (NPP), carbon uptake, and storage in vegetation, can also be used to model net carbon sequestration and net carbon export from an ecosystem (net ecosystem carbon balance). While biomass and NPP map products for terrestrial ecosystems are available, there are currently no conterminous United States (CONUS) biomass carbon stock or NPP maps for tidal herbaceous marshes. In this study, we used peak soil adjusted vegetation index (SAVI) values, derived from Landsat 8 composites, and five other vegetation indices, plus a categorical variable for the CONUS region (Pacific Northwest, California, Northeast, Mid-Atlantic, South Atlantic-Gulf, or Everglades), to model spatially explicit aboveground peak biomass stocks in tidal marshes (i.e., tidal palustrine and estuarine herbaceous marshes) for the first time. Tidal marsh carbon conversion factors, root-to-shoot ratios, and vegetation turnover rates, were compiled from the literature and used to convert peak aboveground biomass to peak total (above- and belowground) biomass and NPP. An extensive literature search for aboveground turnover rates produced sparse and variable values; therefore, we used an informed assumption of a turnover rate of one crop per year for all CONUS tidal marshes. Due to the lack of turnover rate data, the NPP map is identical to the peak biomass carbon stock map. In reality, it is probable that turnover rate varies by region, given seasonal length differences; however, the NPP map provides the best available information on spatially explicit CONUS tidal marsh NPP. This study identifies gaps in the scientific knowledge, to support future studies in addressing this lack of turnover data. Across CONUS, average total peak biomass carbon stock in tidal marshes was 848 g C m<sup>−2</sup><span>&nbsp;</span>(871 g C m<sup>−2</sup><span>&nbsp;</span>in palustrine and 838 g C m<sup>−2</sup><span>&nbsp;</span>in estuarine marshes), and based on a median biomass turnover rate of 1, it is expected that the mean NPP annual flux for tidal marshes is similar (e.g., 848 g C m<sup>−2</sup><span>&nbsp;</span>y<sup>−1</sup>). Peak biomass carbon stocks in tidal marshes were lowest in the Florida Everglades region and highest in the California regions. These are the first fine-scale national maps of biomass carbon and NPP for tidal wetlands, spanning all of CONUS. These estimates of CONUS total peak biomass carbon stocks and NPP rates for tidal marshes can support regional- and national-scale assessments of greenhouse gas emissions, as well as natural resource management of coastal wetlands, as part of nature-based climate solution efforts.</div>","language":"English","publisher":"MDPI","doi":"10.3390/rs15061697","usgsCitation":"Woltz, V., Stagg, C., Byrd, K.B., Windham-Myers, L., Andre S. 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Rovai","contributorId":303698,"corporation":false,"usgs":false,"family":"Andre S. Rovai","affiliations":[{"id":65880,"text":"Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":867815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":867816,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241473,"text":"70241473 - 2023 - Advances in transboundary aquifer assessment","interactions":[],"lastModifiedDate":"2023-03-21T11:40:46.551051","indexId":"70241473","displayToPublicDate":"2023-03-20T06:37:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Advances in transboundary aquifer assessment","docAbstract":"<div class=\"html-p\">This Special Issue is intended to highlight both recent work to advance the physical understanding of transboundary aquifers and factors relevant in successful collaboration on transboundary groundwater resource use. The collected papers address: (1) the identification and prioritization of the needs and strategies for sustainable groundwater development and use, along with the complexities introduced by working across borders with differing governance frameworks, institutions, cultures, and sometimes languages; (2) the characterization of the physical framework of the aquifer, stressors on the aquifer system, and how those stressors influence the availability of groundwater in terms of its quantity and quality; and (3) the incorporation of stakeholder input and prioritization directly into the process of aquifer assessment and model building. The papers provide insights into the state of knowledge regarding the physical characterization of important transboundary aquifers, primarily along the U.S.–Mexico border and the opportunities for greater stakeholder involvement in resource evaluation and prioritization. They point the way towards a future focus that combines both of these aspects of transboundary aquifer assessment for informing groundwater management discussions by policymakers.</div>","language":"English","publisher":"MDPI","doi":"10.3390/w15061208","usgsCitation":"Matherne, A., and Megdal, S.B., 2023, Advances in transboundary aquifer assessment: Water, v. 15, no. 6, 1208, 7 p., https://doi.org/10.3390/w15061208.","productDescription":"1208, 7 p.","ipdsId":"IP-146259","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":444167,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15061208","text":"Publisher Index Page"},{"id":414421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.36493471418689,\n              32.14383279973586\n            ],\n            [\n              -111.36493471418689,\n              30.417046183219966\n            ],\n            [\n              -104.51237611072469,\n              30.417046183219966\n            ],\n            [\n              -104.51237611072469,\n              32.14383279973586\n            ],\n            [\n              -111.36493471418689,\n              32.14383279973586\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.90934865911173,\n              48.94766903483233\n            ],\n            [\n              -92.90934865911173,\n              40.47995850135459\n            ],\n            [\n              -75.51439220417046,\n              40.47995850135459\n            ],\n            [\n              -75.51439220417046,\n              48.94766903483233\n            ],\n            [\n              -92.90934865911173,\n              48.94766903483233\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Matherne, Anne-Marie 0000-0002-5873-2226","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":32279,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne-Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Megdal, Sharon B.","contributorId":203874,"corporation":false,"usgs":false,"family":"Megdal","given":"Sharon","email":"","middleInitial":"B.","affiliations":[{"id":34969,"text":"University of Sonora","active":true,"usgs":false}],"preferred":false,"id":866958,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70240999,"text":"70240999 - 2023 - Aquatic vegetation types identified during early and late phases of vegetation recovery in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2023-04-12T15:13:56.801546","indexId":"70240999","displayToPublicDate":"2023-03-19T10:13:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic vegetation types identified during early and late phases of vegetation recovery in the Upper Mississippi River","docAbstract":"<p><span>Assemblage patterns and processes of aquatic vegetation in most large floodplain rivers are not well understood, particularly after plant recovery. Identifying vegetation types, which are recurring plant groupings based on species composition, diversity, and abundances, can describe plant assembly patterns and environmental drivers that aid conservation planning and management. We used a 22-year dataset (</span><i>n</i><span> = 18,000 sampling plots) to identify aquatic vegetation types during an “early phase” and “late phase” of plant recovery at multiple spatial scales nested within a 500-km river reach of the Upper Mississippi River, USA. We hypothesized that vegetation types varied according to scale because of the stark environmental differences among riverine habitats and differing regional species pools along the river's latitudinal gradient, and that the late phase of recovery had developed several new vegetation types. We first used cluster analyses at multiple spatiotemporal scales to identify the number of vegetation types and their characteristics, such as indicator species, species compositions and abundances, and diversity index. Then we applied a multivariate regression to pinpoint environmental factors (such as hydrodynamics, system productivity, local habitat, and water quality) that structured those vegetation types. Clustering revealed that ~90% of plots irrespective of recovery phase were not classified into vegetation types, which indicated that most aquatic sampling plots are unique in species composition and unpredictable. However, impounded areas upriver from dams had matured five vegetation types: lotus (</span><i>Nelumbo lutea</i><span>&nbsp;Willd.), submersed (a mix of 11 common submersed species), watercelery (</span><i>Vallisneria americana</i><span>&nbsp;Michx.), arrowheads (</span><i>Sagittaria rigida</i><span>&nbsp;Pursh and&nbsp;</span><i>Sagittaria latifolia</i><span>&nbsp;Willd.), and a diverse community (with high diversity indices and multiple life forms). The vegetation types were associated with three environmental gradients related to inundation depth and duration, system productivity, and water clarity. These five vegetation types are known to be of high ecological value to fish and wildlife and thus targets for restoration, for example, the watercelery community is principal forage for migrating canvasback ducks (</span><i>Aythya valisineria</i><span>) along the Mississippi River flyway. Our results provide insights on vegetation assembly during recovery and aid habitat conservation by providing quantitative, environmental targets for restoration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4468","usgsCitation":"Larson, D.M., Carhart, A., and Lund, E., 2023, Aquatic vegetation types identified during early and late phases of vegetation recovery in the Upper Mississippi River: Ecosphere, v. 14, no. 3, e4468, 20 p., https://doi.org/10.1002/ecs2.4468.","productDescription":"e4468, 20 p.","ipdsId":"IP-131066","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":444170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4468","text":"Publisher Index Page"},{"id":415663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.10976435882736,\n              41.60685944282207\n            ],\n            [\n              -89.99975982612516,\n              42.224983847864536\n            ],\n            [\n              -90.81533578734795,\n              43.0853039521503\n            ],\n            [\n              -91.17295281697338,\n              44.10941290093686\n            ],\n            [\n              -92.4919662081708,\n              44.74832598668567\n            ],\n            [\n              -92.97405022349875,\n              45.04742613671087\n            ],\n            [\n              -93.13038965400605,\n              44.71333048187006\n            ],\n            [\n              -91.91569538208077,\n              44.03813254031178\n            ],\n            [\n              -91.35537860580692,\n              43.326638741150475\n            ],\n            [\n              -91.34212433361859,\n              42.710247775085435\n            ],\n            [\n              -90.44333088312968,\n              42.162313420549964\n            ],\n            [\n              -90.79716133996195,\n              41.5831628575645\n            ],\n            [\n              -90.10976435882736,\n              41.60685944282207\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, Danelle M. 0000-0001-6349-6267","orcid":"https://orcid.org/0000-0001-6349-6267","contributorId":228838,"corporation":false,"usgs":true,"family":"Larson","given":"Danelle","email":"","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":865662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carhart, Alicia 0000-0002-9977-8124","orcid":"https://orcid.org/0000-0002-9977-8124","contributorId":223884,"corporation":false,"usgs":false,"family":"Carhart","given":"Alicia","email":"","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":865663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, Eric","contributorId":221777,"corporation":false,"usgs":false,"family":"Lund","given":"Eric","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":865664,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70248233,"text":"70248233 - 2023 - Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses","interactions":[],"lastModifiedDate":"2023-09-05T12:11:07.324945","indexId":"70248233","displayToPublicDate":"2023-03-19T07:06:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16697,"text":"Transportation Research Record, Journal of the Transportation Research Board.","active":true,"publicationSubtype":{"id":10}},"title":"Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>Transportation agencies need information about the potential effects of climate change on the volume, quality, and treatment of stormwater to mitigate potential effects of runoff on receiving waters. To address these concerns, the U.S. Geological Survey and the Federal Highway Administration used the Coupled Model Intercomparison Project tool and the Stochastic Empirical Loading and Dilution Model to perform space-for-time stormwater quality analyses. This study indicated that spatial variations in precipitation statistics within and adjacent to southern New England are greater than projected climate-related changes for the centroid of this region. A dilution-factor analysis indicated that highway runoff would become a greater proportion of downstream flows if average event volumes or time between event midpoints increase and would become a smaller proportion of downstream flows if event durations increase. Highway-runoff yield analyses for total phosphorus (TP) indicate that uncertainty in water quality statistics results in variations in long-term average yields from about 1.69 to 7.96 times higher than the lowest TP values simulated. In comparison, variations in precipitation statistics cause yield variations that ranged from 1.41 to 1.76 for the different simulated concentrations. An analysis of stormwater treatment indicated that uncertainties in runoff treatment variables are also larger than the magnitude of climate variations. This study does not question the potentially large climate-related changes in hydrologic and hydraulic variables expected to occur in the foreseeable future. It does indicate that uncertainties in the current data and potential effects of land use change on stormwater quality and treatment variables are larger than the projected effects of climate change.</div></div></div>","language":"English","publisher":"Sage","doi":"10.1177/03611981231155183","usgsCitation":"Jeznach, L.C., Granato, G., Sharar-Salgado, D., Jones, S.C., and Imig, D., 2023, Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses: Transportation Research Record, Journal of the Transportation Research Board., v. 2677, no. 7, p. 570-581, https://doi.org/10.1177/03611981231155183.","productDescription":"12 p.","startPage":"570","endPage":"581","ipdsId":"IP-143447","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":444172,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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 \"}}]}","volume":"2677","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Jeznach, Lillian C. 0000-0002-5476-9232","orcid":"https://orcid.org/0000-0002-5476-9232","contributorId":297153,"corporation":false,"usgs":true,"family":"Jeznach","given":"Lillian","email":"","middleInitial":"C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":882052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granato, Gregory E. 0000-0002-2561-9913","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":203250,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":882053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharar-Salgado, Daniel 0000-0001-7251-1537","orcid":"https://orcid.org/0000-0001-7251-1537","contributorId":305388,"corporation":false,"usgs":false,"family":"Sharar-Salgado","given":"Daniel","email":"","affiliations":[{"id":54843,"text":"Federal Highway Administration","active":true,"usgs":false}],"preferred":false,"id":882054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Susan C. 0000-0002-5891-5209","orcid":"https://orcid.org/0000-0002-5891-5209","contributorId":64716,"corporation":false,"usgs":false,"family":"Jones","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":34302,"text":"Federal Highway Administration (United States)","active":true,"usgs":false}],"preferred":false,"id":882055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Imig, Daniel 0000-0002-5099-1266","orcid":"https://orcid.org/0000-0002-5099-1266","contributorId":329356,"corporation":false,"usgs":false,"family":"Imig","given":"Daniel","email":"","affiliations":[{"id":78575,"text":"Connecticut Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":882056,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242120,"text":"70242120 - 2023 - Climate change mitigation potential of Louisiana's coastal area: Current estimates and future projections","interactions":[],"lastModifiedDate":"2023-07-26T16:16:17.770228","indexId":"70242120","displayToPublicDate":"2023-03-18T08:41:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Climate change mitigation potential of Louisiana's coastal area: Current estimates and future projections","docAbstract":"<p><span>Coastal habitats can play an important role in climate change mitigation. As Louisiana implements its climate action plan and the restoration and risk-reduction projects outlined in its 2017 Louisiana Coastal Master Plan, it is critical to consider potential greenhouse gas (GHG) fluxes in coastal habitats. This study estimated the potential climate mitigation role of existing, converted, and restored coastal habitats for years 2005, 2020, 2025, 2030, and 2050, which align with the Governor of Louisiana's GHG reduction targets. An analytical framework was developed that considered (1) available scientific data on net ecosystem carbon balance fluxes per habitat and (2) habitat areas projected from modeling efforts used for the 2017 Louisiana Coastal Master Plan to estimate the net GHG flux of coastal area. The coastal area was estimated as net GHG sinks of −38.4 ± 10.6 and −43.2 ± 12.0 Tg CO</span><sub>2</sub><span>&nbsp;equivalents (CO</span><sub>2</sub><span>e) in 2005 and 2020, respectively. The coastal area was projected to remain a net GHG sink in 2025 and 2030, both with and without the implementation of Coastal Master Plan projects (means ranged from −25.3 to −34.2 Tg CO</span><sub>2</sub><span>e). By 2050, with model-projected wetland loss and conversion of coastal habitats to open water due to coastal erosion and relative sea level rise, Louisiana's coastal area was projected to become a net source of GHG emissions both with and without the Coastal Master Plan projects. However, in the year 2050, the Louisiana Coastal Master Plan project implementation was projected to avoid the release of +8.8 ± 1.3 Tg CO</span><sub>2</sub><span>e compared with an alternative with no action. Reduction in current and future stressors to coastal habitats, including impacts from sea level rise, as well as the implementation of restoration projects could help to ensure coastal areas remain a natural climate solution.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2847","usgsCitation":"Baustian, M.M., Liu, B., Moss, L.C., Dausman, A., and Pahl, J.W., 2023, Climate change mitigation potential of Louisiana's coastal area: Current estimates and future projections: Ecological Applications, v. 23, no. 4, e2847, 22 p.; Data Release, https://doi.org/10.1002/eap.2847.","productDescription":"e2847, 22 p.; Data Release","ipdsId":"IP-147080","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444174,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2847","text":"Publisher Index Page"},{"id":415413,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419359,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94Z2MZV","text":"A subset of 2017 Louisiana Coastal Master Plan model output to estimate climate change mitigation potential of Louisiana’s coastal area"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.59801925944635,\n              30.689846184930914\n            ],\n            [\n              -93.59801925944635,\n              28.629249419941743\n            ],\n            [\n              -89.0431895005861,\n              28.629249419941743\n            ],\n            [\n              -89.0431895005861,\n              30.689846184930914\n            ],\n            [\n              -93.59801925944635,\n              30.689846184930914\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":868936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Bingqing","contributorId":304014,"corporation":false,"usgs":false,"family":"Liu","given":"Bingqing","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":868937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moss, Leland C.","contributorId":272644,"corporation":false,"usgs":false,"family":"Moss","given":"Leland","email":"","middleInitial":"C.","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":868938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dausman, Alyssa","contributorId":223766,"corporation":false,"usgs":false,"family":"Dausman","given":"Alyssa","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":868939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pahl, James W.","contributorId":304017,"corporation":false,"usgs":false,"family":"Pahl","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":868940,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241818,"text":"70241818 - 2023 - Salvage using electrofishing methods caused minimal mortality of burrowed and emerged larval lampreys in dewatered habitats","interactions":[],"lastModifiedDate":"2024-01-24T17:12:18.488436","indexId":"70241818","displayToPublicDate":"2023-03-18T06:36:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Salvage using electrofishing methods caused minimal mortality of burrowed and emerged larval lampreys in dewatered habitats","docAbstract":"<div id=\"article__content\" class=\"col-sm-12 col-md-8 col-lg-8 article__content article-row-left\"><div class=\"article__body \"><div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><h3 id=\"nafm10894-sec-1001-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Human-induced dewatering of freshwater habitats causes mortality of larval lampreys (family Petromyzontidae). Salvage by electrofishing at dewatering events is assumed to reduce this mortality, but to our knowledge this assumption remains unassessed.</p><h3 id=\"nafm10894-sec-2002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We estimated mortality of salvaged larval lampreys (<i>Lampetra</i><span>&nbsp;</span>spp. and Pacific Lamprey<span>&nbsp;</span><i>Entosphenus tridentatus</i>) within 24 h following collection at field dewatering events in July and October. To assess when salvage may reduce mortality, we compared mortality of salvaged individuals from field dewatering events to mortality of burrowed and emerged individuals in dewatered habitats in the laboratory. Salvage protocols included electrofishing and foot pressure from walking in test enclosures before and after dewatering. Electrofishing after dewatering (“dry shocking”) involves positioning probes on moist sediment to entice burrowed larval lampreys to emerge.</p><h3 id=\"nafm10894-sec-3002-title\" class=\"article-section__sub-title section1\">Result</h3><p>During the July salvage, air temperature averaged 36°C, bottom water temperature averaged 20°C, and many emerged larval lampreys were dead on the sediment surface. During two October events, air temperatures averaged 18 and 11°C, bottom water temperatures averaged 12 and 7°C, and only one dead emerged larval lamprey was observed. Estimated mortality of salvaged larval lampreys was 0.20 (90% credible interval = 0.09–0.37) in July and 0.00 (90% credible interval = 0.00–0.06) and 0.06 (90% credible interval = 0.01–0.18) in October. All larval lampreys that remained burrowed and were excavated from enclosures after salvage were dead in July but alive in October. Logistic regression suggested that mortality declined with increasing larval length. Mortality of salvaged 80-mm larval lampreys in October was lower than that of 80-mm individuals emerged for 1 h or burrowed for 8 h at similar water temperatures (8–10°C) in the laboratory.</p><h3 id=\"nafm10894-sec-4002-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>In this study, electrofishing for salvage caused minimal mortality of burrowed and emerged larval lampreys in dewatered habitats. Thus, salvage using electrofishing methods could aid conservation of native lampreys by reducing mortality associated with human-induced dewatering events, especially when temperatures are elevated.</p></div></div></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10894","usgsCitation":"Harris, J.E., Liedtke, T.L., Skalicky, J.J., and Weiland, L.K., 2023, Salvage using electrofishing methods caused minimal mortality of burrowed and emerged larval lampreys in dewatered habitats: North American Journal of Fisheries Management, v. 43, no. 6, p. 1553-1566, https://doi.org/10.1002/nafm.10894.","productDescription":"14 p.","startPage":"1553","endPage":"1566","ipdsId":"IP-142268","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":498005,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10894","text":"Publisher Index Page"},{"id":414806,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.80504720443415,\n              45.59714982675632\n            ],\n            [\n              -119.80504720443415,\n              47.017425415416\n            ],\n            [\n              -122.92684344647026,\n              47.017425415416\n            ],\n            [\n              -122.92684344647026,\n              45.59714982675632\n            ],\n            [\n              -119.80504720443415,\n              45.59714982675632\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"43","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Julianne E. 0000-0003-1343-5911","orcid":"https://orcid.org/0000-0003-1343-5911","contributorId":247527,"corporation":false,"usgs":false,"family":"Harris","given":"Julianne","email":"","middleInitial":"E.","affiliations":[{"id":49569,"text":"U.S. Fish and Wildlife Service, Columbia River Fish and Wildlife Conservation Office, 1211 SE Cardinal Court, Suite 100, Vancouver, Washington 98683","active":true,"usgs":false}],"preferred":false,"id":867819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":867820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skalicky, Joseph J. 0000-0002-6467-5037","orcid":"https://orcid.org/0000-0002-6467-5037","contributorId":247528,"corporation":false,"usgs":false,"family":"Skalicky","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":49569,"text":"U.S. Fish and Wildlife Service, Columbia River Fish and Wildlife Conservation Office, 1211 SE Cardinal Court, Suite 100, Vancouver, Washington 98683","active":true,"usgs":false}],"preferred":false,"id":867821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiland, Lisa K. 0000-0002-9729-4062 lweiland@usgs.gov","orcid":"https://orcid.org/0000-0002-9729-4062","contributorId":3565,"corporation":false,"usgs":true,"family":"Weiland","given":"Lisa","email":"lweiland@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":867822,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243534,"text":"70243534 - 2023 - Uses of epistemic uncertainties in the USGS National Seismic Hazard Models","interactions":[],"lastModifiedDate":"2023-05-16T18:21:23.693721","indexId":"70243534","displayToPublicDate":"2023-03-18T06:34:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Uses of epistemic uncertainties in the USGS National Seismic Hazard Models","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>The need for US Geological Survey (USGS) National Seismic Hazard Models (NSHMs) to report estimates of epistemic uncertainties in the hazard (e.g. fractile hazard curves) in all forthcoming releases is increasing. With fractile hazard curves as potential new outputs from the USGS 2023 NSHM, a simultaneous need is to help end-users better understand these epistemic uncertainties and clarify their potential uses. In this article, we address the latter need by (1) characterizing epistemic uncertainties in two updates of the USGS NSHM (2014 for California and 2021 for Hawaii), (2) illustrating a variety of downstream applications of fractile hazard curves in both hazard and risk contexts, and (3) discussing implications from the various types of uncertainties. We found that the epistemic uncertainty in hazard is generally larger for Hawaii than for California, the epistemic uncertainty in hazard can be reasonably approximated with a lognormal distribution for most of the cases considered, and the correlation between epistemic uncertainty in hazard at two different intensity measure levels generally varies with both location and type of intensity measure. Furthermore, we developed models for readily generating approximate fractile hazard curves in California and Hawaii. Finally, given the complexities involved in the hazard modeling process, we developed an open-source interactive tool to enable a broad range of users to independently examine and potentially start using such epistemic uncertainties for their respective applications.</div></div></div>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/87552930231157424","usgsCitation":"Kwong, N.S., and Jaiswal, K.S., 2023, Uses of epistemic uncertainties in the USGS National Seismic Hazard Models: Earthquake Spectra, v. 39, no. 2, p. 1058-1087, https://doi.org/10.1177/87552930231157424.","productDescription":"30 p.","startPage":"1058","endPage":"1087","ipdsId":"IP-146101","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":490039,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/87552930231157424","text":"Publisher Index Page"},{"id":416950,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417104,"rank":2,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P9N5QTIN","linkFileType":{"id":5,"text":"html"}}],"volume":"39","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Kwong, N. Simon 0000-0003-3017-9585","orcid":"https://orcid.org/0000-0003-3017-9585","contributorId":241863,"corporation":false,"usgs":true,"family":"Kwong","given":"N.","email":"","middleInitial":"Simon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":872250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":872251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70241101,"text":"sir20235017 - 2023 - Per- and polyfluoroalkyl substances in groundwater from the Great Miami buried-valley aquifer, southwestern Ohio, 2019–20","interactions":[],"lastModifiedDate":"2026-03-02T22:05:38.701036","indexId":"sir20235017","displayToPublicDate":"2023-03-17T12:59:48","publicationYear":"2023","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":"2023-5017","displayTitle":"Per- and Polyfluoroalkyl Substances in Groundwater from the Great Miami Buried-Valley Aquifer, Southwestern Ohio, 2019–20","title":"Per- and polyfluoroalkyl substances in groundwater from the Great Miami buried-valley aquifer, southwestern Ohio, 2019–20","docAbstract":"<p>Groundwater samples were collected during 2019 and 2020 from 23 wells in the Great Miami buried-valley aquifer (GM-BVA) in southwestern Ohio by the U.S. Geological Survey, in cooperation with the Miami Conservancy District, Dayton, Ohio, to determine concentrations of selected per- and polyfluoroalkyl substances (PFAS). The GM-BVA is a glacial outwash and alluvial fill aquifer that is the sole source of water supply for much of the region. Wells had total depths that ranged from 21 to 101 feet below land surface, and groundwater levels that ranged from 1.39 to 52.15 feet below land surface before sampling in 2019.</p><p>Groundwater and related quality-control samples were sequentially collected from 22 of the 23 wells and analyzed for 24 different PFAS by 2 methods that used proprietary isotope-dilution based adaptations of U.S. Environmental Protection Agency (EPA) method 537.1, termed methods 1 and 2. Method 2 had smaller reporting limits (RL) for 22 of 24 PFAS analyzed and smaller detection limits (DLs) for all 24 PFAS analyzed compared with method 1, which made method 2 more sensitive to detect PFAS.</p><p>Concentrations of perfluorooctanesulfonate (PFOS) in a groundwater (GW)-method 2 sample from well CL–275 of 1.9 nanograms per liter (ng/L) and perfluorooctanoate (PFOA) in a GW-method 2 sample from well BU–1106 of 2.1 ng/L were greater than their EPA interim health advisory guidances for drinking water (as of June 2022) by about 9,500 and 52,500 percent, respectively. The EPA interim health advisory guidances for PFOS (0.02 ng/L) and PFOA (0.004 ng/L) were also 65 and 215 times less, respectively, than the smallest method 2 DLs for PFOS (1.3 ng/L) and PFOA (0.86 ng/L).</p><p>Other PFAS were either not detected in GM-BVA groundwater samples or were detected in concentrations less than Ohio action levels or Federal health-risk-based guidance. The most detected PFAS in groundwater was perfluorobutanesulfonate (PFBS), which had concentrations in samples from eight wells that ranged from 1.0 to 8.0 ng/L or from 0.05 to 0.4 percent of its EPA health advisory of 2,000 ng/L for drinking water.</p><p>The similarity of PFBS (7.8 ng/L), perfluoropentanesulfonate (PFPeS; 8.1 ng/L), and perfluorohexanesulfonate (PFHxS; 14 ng/L) concentrations yielded from the GW-method 1 sample from well CL–275 on July 9, 2019, to those of PFBS (8.0 ng/L), PFPeS (7.8 ng/L), and PFHxS (16 ng/L) from the paired GW-method 2 sample demonstrated the capability of both methods to reproduce PFAS concentrations that were greater than their respective DLs. Non-detection of these PFAS in follow-up GW-method 1 and sequential replicate (Rep–GW-method 1) samples from CL–275 on April 21, 2020, indicated that the 2019 results represented a transient detection in groundwater.</p><p>Eleven of twenty-three wells sampled in 2019 had from 1 to 4 PFAS detected in one or more groundwater samples or in a paired replicate sample: PFBS in 8 wells and 9 samples; PFHxS in 4 wells and 5 samples; and PFPeS, PFOS, perfluorobutanoate, perfluoropentanoate, PFOA, and perfluorooctanesulfonamide in 1 well and 1 sample each. More PFAS were detected in GW-method 2 samples than GW-method 1 samples because method 2 had smaller RLs and DLs. Results indicate benefits from the analysis of paired samples, sequential replicate samples, and other quality-control samples using analytical methods with sensitive RLs and DLs to verify PFAS concentrations in groundwater.</p><p>Groundwater-age estimates indicate that water produced from all sampled wells had infiltrated to the water table within the 1947–present (2022) period of PFAS use or environmental presence. Eight wells with detectable PFBS in groundwater from 2019 samples also had groundwater-recharge dates that ranged from 1991 to 2016. Those ages coincided with the possible environmental presence of PFBS as a PFAS byproduct or use as an alternative to PFOS after about 2002. Two wells that had detections of PFHxS in 2019 groundwater samples also had post-2000 groundwater-recharge dates that coincided with the period of use of PFHxS as an alternative to PFOS. Six of nine wells with more than 66-percent of urban land use that was within 0.3 miles of each well, as of 2012, also had 1 to 4 PFAS detected in one of their groundwater samples. Seven of nine wells that produced groundwater in 2019 with an oxic redox category also had one or more PFAS detected in a sample.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235017","collaboration":"Prepared in cooperation with Miami Conservancy District","usgsCitation":"Buszka, P.M., Mailot, B.E., and Mathes, N.A., 2023, Per- and polyfluoroalkyl substances in groundwater from the Great Miami buried-valley aquifer, southwestern Ohio, 2019–20: U.S. Geological Survey Scientific Investigations Report 2023–5017, 71 p., https://doi.org/10.3133/sir20235017.","productDescription":"Report: x, 71 p.; Data Release","numberOfPages":"71","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-119136","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":413923,"rank":6,"type":{"id":30,"text":"Data 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       \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/oki-water\" data-mce-href=\"https://www.usgs.gov/centers/oki-water\">Ohio-Kentucky-Indiana Water Science Center</a><br>U.S. Geological Survey<br>5957 Lakeside Boulevard<br>Indianapolis, IN 46278-1996</p><p><a href=\"https://pubs.er.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 of Study</li><li>Per- and Polyfluoroalkyl Substances (PFAS) in Groundwater</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-03-17","noUsgsAuthors":false,"publicationDate":"2023-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Buszka, Paul M. 0000-0001-8218-826X pmbuszka@usgs.gov","orcid":"https://orcid.org/0000-0001-8218-826X","contributorId":1786,"corporation":false,"usgs":true,"family":"Buszka","given":"Paul","email":"pmbuszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mailot, Brian E. 0000-0003-1602-7999 bemailot@usgs.gov","orcid":"https://orcid.org/0000-0003-1602-7999","contributorId":302979,"corporation":false,"usgs":true,"family":"Mailot","given":"Brian","email":"bemailot@usgs.gov","middleInitial":"E.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathes, Neal A. 0000-0002-0642-0407","orcid":"https://orcid.org/0000-0002-0642-0407","contributorId":302980,"corporation":false,"usgs":true,"family":"Mathes","given":"Neal","email":"","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866085,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252795,"text":"70252795 - 2023 - An assessment of the relation between metal contaminated sediment and freshwater mussel populations in the Big River, Missouri","interactions":[],"lastModifiedDate":"2024-04-05T15:34:21.606254","indexId":"70252795","displayToPublicDate":"2023-03-17T10:32:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of the relation between metal contaminated sediment and freshwater mussel populations in the Big River, Missouri","docAbstract":"<p><span>The Big River in southeast Missouri drains the largest historical lead mining area in the United States. Ongoing releases of metal contaminated sediments into this river are well documented and are suspected of suppressing freshwater mussel populations. We characterized the spatial extent of metal contaminated sediments and evaluated its relationship with mussel populations in the Big River. Mussels and sediments were collected at 34 sites with potential metal effects and 3 reference sites. Analysis of sediment samples showed that lead (Pb) and zinc (Zn) concentrations were 1.5 to 65 times greater than background concentrations in the reach extending 168&nbsp;km downstream from Pb mining releases. Mussel abundance decreased acutely downstream from these releases where sediment Pb concentrations were highest and increased gradually as Pb sediment concentrations attenuated downstream. We compared current species richness with historical survey data from three reference rivers with similar physical habitat characteristics and human effects, but without Pb-contaminated sediment. Big River species richness was on average about one-half that expected based on reference stream populations and was 70–75&nbsp;% lower in reaches with high median Pb concentrations. Sediment Zn and cadmium, and particularly Pb, had significant negative correlations with species richness and abundance. The association of sediment Pb concentrations with mussel community metrics in otherwise high-quality habitat indicates that Pb toxicity is likely responsible for depressed mussel populations observed within the Big River. We used concentration-response regressions of mussel density verses sediment Pb to determine that the Big River mussel community is adversely affected when sediment Pb concentrations are above 166&nbsp;ppm, the concentration associated with 50&nbsp;% decreases in mussel density. Based on this assessment of metals concentrations sediment and mussel fauna, our findings indicate that sediment in approximately 140&nbsp;km of the Big River with suitable habitat has a toxic effect to mussels.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.162743","usgsCitation":"Roberts, A.D., Besser, J.M., Hundley, J., Mosby, D., Rosenberger, A.E., Bouska, K.L., Simmons, B., McMurray, S.E., Faiman, S., and Lueckenhoff, L., 2023, An assessment of the relation between metal contaminated sediment and freshwater mussel populations in the Big River, Missouri: Science of the Total Environment, v. 876, 162743, 15 p., https://doi.org/10.1016/j.scitotenv.2023.162743.","productDescription":"162743, 15 p.","ipdsId":"IP-138980","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":427520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Big River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.22364511337068,\n              38.57772207145226\n            ],\n            [\n              -91.4690104795392,\n              38.57772207145226\n            ],\n            [\n              -91.4690104795392,\n              37.97217349400049\n            ],\n            [\n              -90.22364511337068,\n              37.97217349400049\n            ],\n            [\n              -90.22364511337068,\n              38.57772207145226\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    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Josh","contributorId":335387,"corporation":false,"usgs":false,"family":"Hundley","given":"Josh","email":"","affiliations":[{"id":68344,"text":"U.S. Fish and Wildlife Service (USFWS)","active":true,"usgs":false}],"preferred":false,"id":898246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mosby, Dave","contributorId":335388,"corporation":false,"usgs":false,"family":"Mosby","given":"Dave","email":"","affiliations":[{"id":68344,"text":"U.S. Fish and Wildlife Service (USFWS)","active":true,"usgs":false}],"preferred":false,"id":898247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":898248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":898249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Simmons, Bryan","contributorId":335391,"corporation":false,"usgs":false,"family":"Simmons","given":"Bryan","email":"","affiliations":[{"id":68344,"text":"U.S. Fish and Wildlife Service (USFWS)","active":true,"usgs":false}],"preferred":false,"id":898250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McMurray, Stephen 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,{"id":70241478,"text":"70241478 - 2023 - Quantifying stream-loss recovery in a spring using dual-tracer injections in the Snake Creek drainage, Great Basin National Park, Nevada, USA","interactions":[],"lastModifiedDate":"2023-07-11T15:55:41.142007","indexId":"70241478","displayToPublicDate":"2023-03-17T08:43:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying stream-loss recovery in a spring using dual-tracer injections in the Snake Creek drainage, Great Basin National Park, Nevada, USA","docAbstract":"<p><span>Simultaneous short-pulse injections of two tracers (sodium bromide [Br</span><sup>–</sup><span>] and fluorescein dye) were made in a losing reach of Snake Creek in Great Basin National Park, Nevada, USA, to evaluate the quantity of stream loss through permeable carbonates that resurfaces at a spring approximately 10&nbsp;km down drainage. A revised hydrogeologic cross section for a possible flow path of the infiltrated Snake Creek water is presented, and the results may inform water management in the region. First arrival and peak concentration of the two tracers occurred at 9.5 and 12.7 days after injection, respectively. Fracture transport simulations indicate that Br</span><sup>–</sup><span>&nbsp;preferentially diffuses into immobile regions of the aquifer, and this diffusive flux is likely responsible for the major differences in the breakthrough curves. When considering the diffusive tracer flux, total apparent Br</span><sup>–</sup><span>&nbsp;and fluorescein dye recoveries were 16.9–22.1% and 21.7–24.3%, respectively. These findings imply that consideration of diffusive flux and long-term monitoring in fracture-dominated flow may support accurate quantification of tracer recovery. In addition, the apparent power law slopes of the breakthrough tails for both tracers were steeper at early times than have been attributed to heterogeneous advection or channeling in meter-scale tests, but the late-time Br</span><sup>–</sup><span>&nbsp;power law slope becomes less steep than has been attributed to diffusive exchange. These deviations may reflect fracture transport patterns that occur at larger scales.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-023-02619-4","usgsCitation":"Humphrey, C., Gardner, P.M., Spangler, L.E., Nelson, N.C., Toran, L., and Solomon, D.K., 2023, Quantifying stream-loss recovery in a spring using dual-tracer injections in the Snake Creek drainage, Great Basin National Park, Nevada, USA: Hydrogeology Journal, v. 31, p. 1051-1066, https://doi.org/10.1007/s10040-023-02619-4.","productDescription":"16 p.","startPage":"1051","endPage":"1066","ipdsId":"IP-130571","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":444184,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s10040-023-02619-4","text":"Publisher Index Page"},{"id":435409,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93GAZX5","text":"USGS data release","linkHelpText":"Data from two tracer investigations in the Snake Creek drainage, Great Basin National Park, White Pine County, Nevada"},{"id":414433,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Great Basin National Park, Snake Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.3,\n              38.9583\n            ],\n            [\n              -114.3,\n              38.9\n            ],\n            [\n              -114.033,\n              38.9\n            ],\n            [\n              -114.033,\n              38.9583\n            ],\n            [\n              -114.3,\n              38.9583\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"31","noUsgsAuthors":false,"publicationDate":"2023-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Humphrey, C. Eric 0000-0002-1174-8458","orcid":"https://orcid.org/0000-0002-1174-8458","contributorId":303277,"corporation":false,"usgs":false,"family":"Humphrey","given":"C. Eric","affiliations":[{"id":65744,"text":"University of Utah, Dept. of Geology & Geophysics","active":true,"usgs":false}],"preferred":false,"id":866978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spangler, Lawrence E. 0000-0003-3928-8809 spangler@usgs.gov","orcid":"https://orcid.org/0000-0003-3928-8809","contributorId":973,"corporation":false,"usgs":true,"family":"Spangler","given":"Lawrence","email":"spangler@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Nora C. 0000-0001-8248-2004","orcid":"https://orcid.org/0000-0001-8248-2004","contributorId":207229,"corporation":false,"usgs":true,"family":"Nelson","given":"Nora","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toran, Laura","contributorId":81622,"corporation":false,"usgs":false,"family":"Toran","given":"Laura","email":"","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":866982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Solomon, D. Kip","contributorId":201955,"corporation":false,"usgs":false,"family":"Solomon","given":"D.","email":"","middleInitial":"Kip","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":866983,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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