{"pageNumber":"388","pageRowStart":"9675","pageSize":"25","recordCount":184617,"records":[{"id":70256705,"text":"70256705 - 2022 - Population viability analysis for a pond-breeding amphibian under future drought scenarios in the southeastern United States","interactions":[],"lastModifiedDate":"2024-08-07T23:50:55.332539","indexId":"70256705","displayToPublicDate":"2022-04-19T18:49:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Population viability analysis for a pond-breeding amphibian under future drought scenarios in the southeastern United States","docAbstract":"<div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><p id=\"sp0030\"><span>Climate change&nbsp;effects are contributing to widespread declines of amphibians, and pond-breeding species may be particularly sensitive to future drought conditions that restrict wetland hydroperiods and decrease opportunities for successful breeding and recruitment. Pond-breeding amphibian populations can compensate for periodic droughts via episodic booms in recruitment, but studies predict that increased future drought conditions will negatively impact long-term persistence for several species. The southeastern United States is a global hotspot of amphibian biodiversity where future trends in drought conditions are uncertain. This study applied a population viability analysis (PVA) framework for an at-risk amphibian, the gopher frog (</span><span><i>Lithobates</i></span><span>&nbsp;</span>[<span><i>Rana</i></span>]<span>&nbsp;</span><i>capito</i><span>), to (i) explore population sensitivity to the frequency of droughts that restrict reproductive events, relative to changes in other demographic rates, and (ii) forecast future population viability over 30 years, given plausible scenarios varying in the frequency and duration of droughts adapted from recent historical patterns in the southeastern United States. Population persistence was highly sensitive to frequency of reproductive success. Persistence was fairly insensitive to all demographic parameters when reproductive success was ≥&nbsp;0.7 (i.e., ≤ 3 drought years per decade, on average), but sensitivity to survival of terrestrial stages (juvenile, adults) and initial abundance increased as reproductive success decreased. Persistence probabilities were relatively high (0.63–0.99) across a range of plausible future drought scenarios, with higher persistence probabilities (&gt; 0.89) for all scenarios where drought years did not increase from recent historical conditions. Our results indicate gopher frog populations are likely resilient to periodic droughts that occur in 4 or fewer years per decade, but extirpation of some populations is possible if recent drought patterns repeat or increase during the next 30 years. Estimates of future risk to gopher frog populations can inform forthcoming status assessments and designation decisions of the&nbsp;U.S. Fish and Wildlife Service. More broadly, PVAs incorporating drought dynamics can identify climate thresholds that at-risk, pond-breeding amphibian populations can tolerate, which can inform management actions (e.g., maintaining a range of hydroperiods across proximate wetlands) that provide sufficient frequent breeding opportunities for long-term persistence even under drought conditions.</span></p></div></div><div id=\"ab0015\" class=\"abstract graphical\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02119","usgsCitation":"Crawford, B.A., Maerz, J.C., Terrell, V.C., and Moore, C.T., 2022, Population viability analysis for a pond-breeding amphibian under future drought scenarios in the southeastern United States: Global Ecology and Conservation, v. 36, e02119, 13 p., https://doi.org/10.1016/j.gecco.2022.e02119.","productDescription":"e02119, 13 p.","ipdsId":"IP-133166","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":448082,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02119","text":"Publisher Index Page"},{"id":432385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Crawford, Brian A.","contributorId":341633,"corporation":false,"usgs":false,"family":"Crawford","given":"Brian","email":"","middleInitial":"A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":908724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maerz, John C.","contributorId":341635,"corporation":false,"usgs":false,"family":"Maerz","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":908725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terrell, Vanessa C. K.","contributorId":341637,"corporation":false,"usgs":false,"family":"Terrell","given":"Vanessa","email":"","middleInitial":"C. K.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":908726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230620,"text":"70230620 - 2022 - Pre-breeding foraging ecology of three tern species nesting in the Gulf of Maine","interactions":[],"lastModifiedDate":"2022-04-19T14:56:56.175554","indexId":"70230620","displayToPublicDate":"2022-04-19T09:24:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Pre-breeding foraging ecology of three tern species nesting in the Gulf of Maine","docAbstract":"<p><span>A variety of seabird species migrate annually from wintering grounds in the Southern Hemisphere to the Gulf of Maine, USA to breed and raise their young. Post-migration, adult seabirds depend on the spatio-temporal match of reliable food resources to replenish energy reserves before breeding. However, the conditions during this critical window of time are becoming increasingly uncertain given the magnitude and pace at which climate change is impacting the Gulf of Maine region. We investigated the pre-breeding foraging ecology of Arctic Terns (</span><i>Sterna paradisaea</i><span>), Common Terns (</span><i>S. hirundo</i><span>), and the federally endangered Roseate Tern (</span><i>S. dougallii</i><span>) by analyzing stable carbon (δ</span><sup>13</sup><span>C) and nitrogen (δ</span><sup>15</sup><span>N) isotopes in eggshell tissues collected from seven islands in the Gulf of Maine from 2016 to 2018. Results show at the interspecific level, adult foraging patterns are consistent with expectations based on chick diets. At interisland and interannual scales, variation in isotopic values and niche breadths suggest foraging habits are highly localized. Although uncertainty remains, interannual trends also suggest warmer ocean conditions are either affecting tern foraging behaviors and/or prey resource availability during the late spring and early summer. Overall, results provide new information on adult tern foraging ecology in an important breeding area experiencing rapid environmental change.</span></p>","language":"English","publisher":"Resilience Alliance","doi":"10.5751/ACE-02112-170119","usgsCitation":"Bratton, R.M., Legett, H., Shannon, P., Yakola, K., Gerson, A.R., and Staudinger, M., 2022, Pre-breeding foraging ecology of three tern species nesting in the Gulf of Maine: Avian Conservation and Ecology, v. 17, no. 1, 19, 26 p., https://doi.org/10.5751/ACE-02112-170119.","productDescription":"19, 26 p.","ipdsId":"IP-119475","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":448084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-02112-170119","text":"Publisher Index Page"},{"id":399086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70232538,"text":"70232538 - 2022 - Range-wide persistence of the endangered arroyo toad (Anaxyrus californicus) for 20+ years following a prolonged drought","interactions":[],"lastModifiedDate":"2022-07-06T14:39:16.142662","indexId":"70232538","displayToPublicDate":"2022-04-19T09:20:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Range-wide persistence of the endangered arroyo toad (<i>Anaxyrus californicus</i>) for 20+ years following a prolonged drought","title":"Range-wide persistence of the endangered arroyo toad (Anaxyrus californicus) for 20+ years following a prolonged drought","docAbstract":"<p>Prolonged drought due to climate change has negatively impacted amphibians in southern California, U.S.A. Due to the severity and length of the current drought, agencies and researchers had growing concern for the persistence of the arroyo toad (<i>Anaxyrus californicus</i>), an endangered endemic amphibian in this region. Range-wide surveys for this species had not been conducted for at least 20&nbsp;years. In 2017–2020, we conducted collaborative surveys for arroyo toads at historical locations. We surveyed 88 of the 115 total sites having historical records and confirmed that the arroyo toad is currently extant in at least 61 of 88&nbsp;sites and 20 of 25&nbsp;historically occupied watersheds. We did not detect toads at almost a third of the surveyed sites but did detect toads at 18 of 19&nbsp;specific sites delineated in the 1999 Recovery Plan to meet one of four downlisting criteria. Arroyo toads are estimated to live 7–8&nbsp;years, making populations susceptible to prolonged drought. Drought is estimated to increase in frequency and duration with climate change. Mitigation strategies for drought impacts, invasive aquatic species, altered flow regimes, and other anthropogenic effects could be the most beneficial strategies for toad conservation and may also provide simultaneous benefits to several other native species that share the same habitat.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8796","usgsCitation":"Hitchcock, C.J., Gallegos, E., Backlin, A.R., Barabe, R., Bloom, P., Boss, K., Brehme, C.S., Brown, C., Clark, D., Clark, E.R., Cooper, K., Donnell, J., Ervin, E., Famolaro, P., Guilliam, K.M., Hancock, J., Hess, N., Howard, S., Hubbartt, V., Lieske, P., Lovich, R.E., Matsuda, T., Meyer-Wilkins, K., Muri, K., Nerhus, B., Nordland, J.A., Ortega, B., Packard, R., Ramirez, R., Stewart, S.C., Sweet, S., Warburton, M.L., Wells, J., Winkleman, R., Winter, K., Zitt, B., and Fisher, R., 2022, Range-wide persistence of the endangered arroyo toad (Anaxyrus californicus) for 20+ years following a prolonged drought: Ecology and Evolution, v. 12, no. 4, e8796, 21 p., https://doi.org/10.1002/ece3.8796.","productDescription":"e8796, 21 p.","ipdsId":"IP-137785","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":448085,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.8796","text":"External Repository"},{"id":403064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.18994140624999,\n              36.686041276581925\n            ],\n            [\n              -120.80566406250001,\n              34.97600151317588\n            ],\n         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Riverside County MSHCP Biological Monitoring Program","active":true,"usgs":false}],"preferred":false,"id":845866,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Ramirez, Ruben","contributorId":292830,"corporation":false,"usgs":false,"family":"Ramirez","given":"Ruben","email":"","affiliations":[{"id":63035,"text":"Cadre Environmental","active":true,"usgs":false}],"preferred":false,"id":845867,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Stewart, Sam C.","contributorId":292831,"corporation":false,"usgs":false,"family":"Stewart","given":"Sam","email":"","middleInitial":"C.","affiliations":[{"id":63036,"text":"Southwest Aquatic & Terrestrial Biology","active":true,"usgs":false}],"preferred":false,"id":845868,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Sweet, Samuel","contributorId":237904,"corporation":false,"usgs":false,"family":"Sweet","given":"Samuel","email":"","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":845869,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Warburton, Manna L.","contributorId":174875,"corporation":false,"usgs":false,"family":"Warburton","given":"Manna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":845870,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Wells, Jeffrey","contributorId":292832,"corporation":false,"usgs":false,"family":"Wells","given":"Jeffrey","email":"","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":845871,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Winkleman, Ryan","contributorId":292833,"corporation":false,"usgs":false,"family":"Winkleman","given":"Ryan","email":"","affiliations":[{"id":63037,"text":"Sana Ana, CA","active":true,"usgs":false}],"preferred":false,"id":845872,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Winter, 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,{"id":70230621,"text":"70230621 - 2022 - Sensitivity of headwater streamflow to thawing permafrost and vegetation change in a warming Arctic","interactions":[],"lastModifiedDate":"2022-04-19T14:22:31.666182","indexId":"70230621","displayToPublicDate":"2022-04-19T09:12:33","publicationYear":"2022","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":"Sensitivity of headwater streamflow to thawing permafrost and vegetation change in a warming Arctic","docAbstract":"Climate change has the potential to impact headwater streams in the Arctic by thawing permafrost and subsequently altering hydrologic regimes and vegetation distribution, physiognomy and productivity. Permafrost thaw and increased subsurface flow have been inferred from the chemistry of large rivers, but there is limited empirical evidence of the impacts to headwater streams. Here we demonstrate how changing vegetation cover and soil thaw may alter headwater catchment hydrology using water budgets, stream discharge trends, and chemistry across a gradient of ground temperature in northwestern Alaska. Colder, tundra-dominated catchments shed precipitation through stream discharge, whereas in warmer catchments with greater forest extent, evapotranspiration and infiltration are substantial fluxes. Forest soils thaw earlier, remain thawed longer, and display seasonal water content declines, consistent with greater evapotranspiration and infiltration. Streambed infiltration and water chemistry indicate that even minor warming can lead to increased infiltration and subsurface flow. Additional warming, permafrost loss, and vegetation shifts in the Arctic will deliver water back to the atmosphere and to subsurface aquifers in many regions, with the potential to substantially reduce discharge in headwater streams, if not compensated by increasing precipitation. Decreasing discharge in headwater streamflow will have important implications for aquatic and riparian ecosystems.","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ac5f2d","usgsCitation":"Koch, J.C., Sjoberg, Y., O’Donnell, J.A., Carey, M.P., Sullivan, P., and Terskaia, A., 2022, Sensitivity of headwater streamflow to thawing permafrost and vegetation change in a warming Arctic: Environmental Research Letters, v. 17, no. 4, 044074, 14 p., https://doi.org/10.1088/1748-9326/ac5f2d.","productDescription":"044074, 14 p.","ipdsId":"IP-128694","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":448088,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac5f2d","text":"Publisher Index Page"},{"id":491321,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EIX8ET","text":"USGS data release","linkHelpText":"Water Level, Temperature, and Discharge of Headwater Streams in the Noatak and Kobuk River Basins, Northwest Alaska, 2015-2017"},{"id":399083,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Agashashok River, Akillik River, Brooks Range, Cutler River, Kobuk Valley National Park, Noatak National Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -163.23486328125,\n              66.60067571342496\n            ],\n            [\n              -158.302001953125,\n              66.60067571342496\n            ],\n            [\n              -158.302001953125,\n              68.06509825098962\n            ],\n            [\n              -163.23486328125,\n              68.06509825098962\n            ],\n            [\n              -163.23486328125,\n              66.60067571342496\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":840925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sjoberg, Ylva 0000-0002-4292-5808","orcid":"https://orcid.org/0000-0002-4292-5808","contributorId":194635,"corporation":false,"usgs":false,"family":"Sjoberg","given":"Ylva","email":"","affiliations":[],"preferred":false,"id":840926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":840927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":840928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Pamela","contributorId":190446,"corporation":false,"usgs":false,"family":"Sullivan","given":"Pamela","affiliations":[],"preferred":false,"id":840929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terskaia, A.","contributorId":290400,"corporation":false,"usgs":false,"family":"Terskaia","given":"A.","email":"","affiliations":[{"id":62417,"text":"Lomonosov Moscow State University","active":true,"usgs":false}],"preferred":false,"id":840930,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70242812,"text":"70242812 - 2022 - Improving the Development Pipelines for USGS Earthquake Hazards Program Real-Time and Scenario Products","interactions":[],"lastModifiedDate":"2023-04-19T11:58:50.843572","indexId":"70242812","displayToPublicDate":"2022-04-19T06:57:59","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Improving the Development Pipelines for USGS Earthquake Hazards Program Real-Time and Scenario Products","docAbstract":"The real-time and scenario products of the U.S. Geological Survey (USGS) Earthquake Hazards Program, such as the ComCat catalog, Did You Feel It?, ShakeMap, ShakeCast, and PAGER, are highly visible and used by a wide variety of stakeholders. We propose two significant enhancements to the development pipelines for the Earthquake Hazards Program real-time and scenario products that have far-reaching benefits. First, we propose incorporating processed and archived ground-motion records into the data streams for real-time products. This increases reproducibility and transparency for ShakeMap and downstream products that serve critical functions in earthquake response and long-term research. It will also provide comprehensive, open access databases of ground-motion metrics (for example, peak ground acceleration, peak ground velocity, and acceleration response spectra) and ground-motion time histories that are fundamental tools in most engineering seismology studies. Second, we propose extending the pipeline for scenario products to provide a full set of complementary products to the real-time pipeline. This would define a comprehensive set of standards for archiving scenarios, including three-dimensional ground-motion simulations, and allow the suite of scenario products to be disseminated in the same way as real-time products. Ultimately, these enhancements would increase the value of some of the most important Earthquake Hazards Program products and transform the way USGS scientists and the engineering seismology community conduct ground-motion research.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 12th National Conference on Earthquake Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"12th National Conference on Earthquake Engineering","conferenceDate":"June 27-July 1, 2022","conferenceLocation":"Salt Lake City, Utah","language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Aagaard, B.T., Wald, D.J., Thompson, E.M., Hearne, M., and Schleicher, L.S., 2022, Improving the Development Pipelines for USGS Earthquake Hazards Program Real-Time and Scenario Products, <i>in</i> Proceedings of the 12th National Conference on Earthquake Engineering, Salt Lake City, Utah, June 27-July 1, 2022.","ipdsId":"IP-134896","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":415993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":415983,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.eeri.org/what-we-offer/digital-library/?lid=12753"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":869850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":869851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":869852,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":869853,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schleicher, Lisa Sue 0000-0001-6528-1753","orcid":"https://orcid.org/0000-0001-6528-1753","contributorId":264892,"corporation":false,"usgs":true,"family":"Schleicher","given":"Lisa","email":"","middleInitial":"Sue","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":869854,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242816,"text":"70242816 - 2022 - The economic effects of the HayWired Scenario using the association of Bay Area governments regional growth forecast—A focus on network disruption and resilience","interactions":[],"lastModifiedDate":"2024-10-28T16:53:30.588929","indexId":"70242816","displayToPublicDate":"2022-04-19T06:51:31","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The economic effects of the HayWired Scenario using the association of Bay Area governments regional growth forecast—A focus on network disruption and resilience","docAbstract":"<div id=\"texttabcontent\" class=\"tab-pane no-scroll show-content left-sided\" aria-labelledby=\"texttab\"><div class=\"NLM_sec NLM_sec_level_1 hlFld-Abstract\"><p>This paper describes how impacts to infrastructure networks within the San Francisco Bay Area may exacerbate the effects of building damage and how policies addressing these networks can improve resilience before and after the earthquake. The analysis uses existing modeling techniques that underlie the Association of Bay Area Government’s (ABAG) 2015 regional economic forecast of the San Francisco Bay region, California to estimate how a moment magnitude (MW) 7.0 earthquake scenario along the Hayward Fault, HayWired, would change the trajectory of that forecast. The ABAG forecast released in January 2015 is built on the framework of a Regional Economic Models, Inc. (REMI) model for the San Francisco Bay region and projects growth in the bay area through 2040. Using the simulation tools in the REMI model, the analysis applies the direct output losses flowing from building damages from the HayWired scenario (estimated using the FEMA Hazus model) to ABAG’s economic and demographic 2015 regional forecast. Also the analysis estimates direct, indirect, and induced effects on gross regional product (GRP), employment and population, and also highlights the effects of the physical infrastructure damage to roads, bridges, and rail to the region’s economy. Communications infrastructure, if resilient or restored, can help counteract the losses generated by building and transportation network damage. The REMI model results show that in the first year, employment would drop by almost half a million jobs, whereas GRP would decline by 8 percent. The two counties near the epicenter of the earthquake would have greater losses, of 15 percent in jobs and 13 percent in GRP. Counties with less physical damage may still have economic slowdowns due to transportation disruption. Much of the economy could recover within a few years, but a full return to the projected trajectory could take more than five years for the region and closer to a decade for the most severely affected counties. Recovery and rebuilding investments will be crucial to repairing the economic base of the region and returning it to its projected growth trajectory. State and local policies, as well as business and personal preparedness and employer flexibility in allowing remote work can reduce the length and severity of effects. Furthermore, sensitivity analyses using the model identify some critical factors that would lead to different levels of change. For example, a shortage of construction workers could result in a deeper, longer recession as rebuilding is postponed. Should major technology employers decide to relocate substantial portions of operations or expand outside of the region, the recovery period from the earthquake induced recession could stretch to six or seven years and the region’s trajectory could be permanently damped relative to the ABAG 2015 forecast for 2040.</p></div></div>","conferenceTitle":"Lifelines 2022","conferenceDate":"January 31–February 11, 2022","conferenceLocation":"Virtual","language":"English","publisher":"ASCE","doi":"10.1061/9780784484449.047","usgsCitation":"Kroll, C., Lu, B., Wein, A., and Olsen, A., 2022, The economic effects of the HayWired Scenario using the association of Bay Area governments regional growth forecast—A focus on network disruption and resilience, Lifelines 2022, Virtual, January 31–February 11, 2022, https://doi.org/10.1061/9780784484449.047.","ipdsId":"IP-132807","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":415992,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2022-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kroll, Cynthia","contributorId":304243,"corporation":false,"usgs":false,"family":"Kroll","given":"Cynthia","affiliations":[{"id":66010,"text":"Retired Chief Economist, ABAG","active":true,"usgs":false}],"preferred":false,"id":869868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Bobby","contributorId":304244,"corporation":false,"usgs":false,"family":"Lu","given":"Bobby","email":"","affiliations":[{"id":66011,"text":"MTC/ABAG","active":true,"usgs":false}],"preferred":false,"id":869869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":869870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olsen, Aksel","contributorId":304245,"corporation":false,"usgs":false,"family":"Olsen","given":"Aksel","email":"","affiliations":[{"id":66011,"text":"MTC/ABAG","active":true,"usgs":false}],"preferred":false,"id":869871,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230723,"text":"70230723 - 2022 - Methanogenic archaea in subsurface coal seams are biogeographically distinct: An analysis of metagenomically-derived mcrA sequences","interactions":[],"lastModifiedDate":"2022-09-27T16:44:03.117871","indexId":"70230723","displayToPublicDate":"2022-04-19T06:37:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1548,"text":"Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Methanogenic archaea in subsurface coal seams are biogeographically distinct: An analysis of metagenomically-derived mcrA sequences","docAbstract":"<p>The production of methane as an end-product of organic matter degradation in the absence of other terminal electron acceptors is common, and has often been studied in environments such as animal guts, soils, and wetlands due to its potency as a greenhouse gas. To date however, the study of the biogeographic distribution of methanogens across coal seam environments has been minimal. Here, we show that coal seams are host to a diverse range of methanogens, which are distinctive to each geological basin. Based on comparisons to close relatives from other methanogenic environments, the dominant methanogenic pathway in these basins is hydrogenotrophic, with acetoclastic being a second major pathway in the Surat Basin. Finally,<span>&nbsp;</span><i>mcrA</i><span>&nbsp;</span>and 16S rRNA gene primer biases were predominantly seen to affect the detection of Methanocellales, Methanomicrobiales and Methanosarcinales taxa in this study. Subsurface coal methanogenic community distributions and pathways presented here provide insights into important metabolites and bacterial partners for<span>&nbsp;</span><i>in situ</i><span>&nbsp;</span>coal biodegradation.</p>","language":"English","publisher":"Society for Applied Microbiology","doi":"10.1111/1462-2920.16014","usgsCitation":"Campbell, B., Greenfield, P., , G., Barnhart, E.P., Midgley, D.J., Paulsen, I.T., and George, S.C., 2022, Methanogenic archaea in subsurface coal seams are biogeographically distinct: An analysis of metagenomically-derived mcrA sequences: Environmental Microbiology, v. 24, no. 9, p. 4065-4078, https://doi.org/10.1111/1462-2920.16014.","productDescription":"14 p.","startPage":"4065","endPage":"4078","ipdsId":"IP-139639","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":448092,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1462-2920.16014","text":"Publisher Index Page"},{"id":399486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell, Bronwyn C","contributorId":290556,"corporation":false,"usgs":false,"family":"Campbell","given":"Bronwyn C","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":841239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greenfield, Paul","contributorId":290557,"corporation":false,"usgs":false,"family":"Greenfield","given":"Paul","email":"","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":841240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":" Gong","contributorId":290560,"corporation":false,"usgs":false,"given":"Gong","email":"","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":841241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Midgley, David J.","contributorId":290564,"corporation":false,"usgs":false,"family":"Midgley","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":841243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paulsen, Ian T.","contributorId":290566,"corporation":false,"usgs":false,"family":"Paulsen","given":"Ian","email":"","middleInitial":"T.","affiliations":[{"id":16788,"text":"Macquarie University","active":true,"usgs":false}],"preferred":false,"id":841244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"George, Simon C.","contributorId":290569,"corporation":false,"usgs":false,"family":"George","given":"Simon","email":"","middleInitial":"C.","affiliations":[{"id":16788,"text":"Macquarie University","active":true,"usgs":false}],"preferred":false,"id":841245,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70230710,"text":"70230710 - 2022 - Extreme rainstorms drive exceptional organic carbon export from forested humid-tropical rivers in Puerto Rico","interactions":[],"lastModifiedDate":"2022-05-23T14:56:24.206653","indexId":"70230710","displayToPublicDate":"2022-04-19T06:33:28","publicationYear":"2022","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":"Extreme rainstorms drive exceptional organic carbon export from forested humid-tropical rivers in Puerto Rico","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Extreme rainfall events in the humid-tropical Luquillo Mountains, Puerto Rico export the bulk of suspended sediment and particulate organic carbon. Using 25 years of river carbon and suspended sediment data, which targeted hurricanes and other large rainstorms, we estimated biogenic particulate organic carbon yields of 65 ± 16 tC km<sup>−2</sup><span>&nbsp;</span>yr<sup>−1</sup><span>&nbsp;</span>for the Icacos and 17.7 ± 5.1 tC km<sup>−2</sup><span>&nbsp;</span>yr<sup>−1</sup><span>&nbsp;</span>for the Mameyes rivers. These granitic and volcaniclastic catchments function as substantial atmospheric carbon-dioxide sinks, largely through export of river biogenic particulate organic carbon during extreme rainstorms. Compared to other regions, these high biogenic particulate organic carbon yields are accompanied by lower suspended sediment yields. Accordingly, particulate organic carbon export from these catchments is underpredicted by previous yield relationships, which are derived mainly from catchments with easily erodible sedimentary rocks. Therefore, rivers that drain petrogenic-carbon-poor bedrock require separate accounting to estimate their contributions to the geological carbon cycle.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41467-022-29618-5","usgsCitation":"Clark, K.E., Stallard, R., Murphy, S.F., Scholl, M.A., Gonzalez, G., Plante, A., and McDowell, W.H., 2022, Extreme rainstorms drive exceptional organic carbon export from forested humid-tropical rivers in Puerto Rico: Nature Communications, v. 13, 2058, 8 p., https://doi.org/10.1038/s41467-022-29618-5.","productDescription":"2058, 8 p.","ipdsId":"IP-131914","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":448096,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-022-29618-5","text":"Publisher Index 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,{"id":70267417,"text":"70267417 - 2022 - Noninvasive sampling of mountain lion hair using modified foothold traps","interactions":[],"lastModifiedDate":"2025-05-27T13:28:23.079535","indexId":"70267417","displayToPublicDate":"2022-04-19T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Noninvasive sampling of mountain lion hair using modified foothold traps","docAbstract":"<p>Genetic analysis of non-invasively obtained samples is an increasingly affordable option for many wildlife studies, but it has remained difficult to obtain high-quality samples from many species. We modified 8” Belisle foot snares (Belisle Enterprises, Quebec, Canada) to non-invasively obtain mountain lion (<i>Puma concolor</i>) hair samples in unbaited trail sets. We deployed 22 hair traps, monitored by remote cameras, at 66 locations for 1618 active trap nights (<span>x̄</span>= 24.5 nights, SD = 7.2 nights). Photos indicated 20 instances of mountain lions passing within 2 m of a hair trap and we collected 7 mountain lion hair samples, which averaged &gt;20 hairs/sample. All samples contained hair with visible roots and were identifiable to species; 6 of the 7 (85.7%) yielded sufficient DNA for individual identification. We attributed failure to obtain samples to 3 primary causes: individual trap saturation (2 instances), trap failure (2 instances), and non-trigger events (9 instances). Black bears (<i>Ursus americanus</i>) and heavy rains were the primary sources of disturbance to hair trap sets, contributing to individual trap saturation and trap failure. We speculate that low trigger rates were associated with pan tension having been set too high in the first month of the study, as well as disturbance of hair traps or leading foot placements by nontarget species. We discuss strategies to increase hair sample collection rates, including seasonal use of hair traps, more selective placement on the landscape, and altering physical attributes of the hair traps. Taking these strategies and the quality of hair samples collected into account, we believe hair traps are a viable tool for noninvasively collecting genetic material for individual identification of mountain lions and other elusive species. These data can be applied to studies of habitat connectivity, breeding success and relatedness, population density, metapopulation structure, or any others in which a bank of individual genotypes are useful.</p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1257","usgsCitation":"Rossettie, T., Perry, T., and Cain, J.W., 2022, Noninvasive sampling of mountain lion hair using modified foothold traps: Wildlife Society Bulletin, v. 46, no. 1, e1257, 13 p., https://doi.org/10.1002/wsb.1257.","productDescription":"e1257, 13 p.","ipdsId":"IP-119182","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486524,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","county":"Sierra County","otherGeospatial":"Black Range Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.48798824240478,\n              33.36187929179046\n            ],\n            [\n              -108.48798824240478,\n              32.91656124812863\n            ],\n            [\n              -107.58956320668692,\n              32.91656124812863\n            ],\n            [\n              -107.58956320668692,\n              33.36187929179046\n            ],\n            [\n              -108.48798824240478,\n              33.36187929179046\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Rossettie, Tricia S.","contributorId":355783,"corporation":false,"usgs":false,"family":"Rossettie","given":"Tricia S.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":938152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Travis W.","contributorId":355784,"corporation":false,"usgs":false,"family":"Perry","given":"Travis W.","affiliations":[{"id":84836,"text":"fu","active":true,"usgs":false}],"preferred":false,"id":938153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938151,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230602,"text":"ofr20211030K - 2022 - System characterization report on PRecursore IperSpettrale della Missione Applicativa (PRISMA)","interactions":[{"subject":{"id":70230602,"text":"ofr20211030K - 2022 - System characterization report on PRecursore IperSpettrale della Missione Applicativa (PRISMA)","indexId":"ofr20211030K","publicationYear":"2022","noYear":false,"chapter":"K","displayTitle":"System Characterization Report on PRecursore IperSpettrale della Missione Applicativa (PRISMA)","title":"System characterization report on PRecursore IperSpettrale della Missione Applicativa (PRISMA)"},"predicate":"IS_PART_OF","object":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"id":1}],"isPartOf":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"lastModifiedDate":"2022-04-19T10:54:07.62676","indexId":"ofr20211030K","displayToPublicDate":"2022-04-18T15:29:12","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1030","chapter":"K","displayTitle":"System Characterization Report on PRecursore IperSpettrale della Missione Applicativa (PRISMA)","title":"System characterization report on PRecursore IperSpettrale della Missione Applicativa (PRISMA)","docAbstract":"<h1>Executive Summary</h1><p>This report addresses system characterization of the Italian Space Agency’s PRecursore IperSpettrale della Missione Applicativa (PRISMA) and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and operational information about the specific sensing system being evaluated; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.</p><p>The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team completed data analyses to characterize the geometric (band to band and image to image), radiometric, and spatial performances. Results of these analyses indicate that PRISMA has a band-to-band geometric performance in the range of −0.046 to 0.040 pixel; an image-to-image geometric performance (relative to the Landsat 8 Operational Land Imager) in the range of −60.791 meters (m; −2.03 pixels) to 299.541 m (9.98 pixels); a radiometric performance in the range of −0.037 to −0.001 in offset and 1.026 to 1.274 in slope; and a spatial performance with a relative edge response in the range of 0.56 to 0.63, full width at half maximum in the range of 1.84 to 1.97 pixels, and a modulation transfer function at a Nyquist frequency in the range of 0.054 to 0.096. Regarding fairly large geometric accuracy, the following explanation is provided to help the reader. The geometric accuracy required for PRISMA is a 200-m circular error at 90 percent (CE90) without ground control points (GCPs), a 15-m CE90 using GCPs is documented in the PRISMA mission overview (Agenzia Spaziale Italiana, 2021). The PRISMA images used for the current system characterization were georeferenced without using any GCPs; thus, the 200-m geometric accuracy requirement is applied. Beginning in 2022, a worldwide GCP database will be used in the PRISMA product processing chain, which will improve georeferencing accuracy to meet the 15-m CE90 requirement.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030K","usgsCitation":"Kim, M., Park, S., Anderson, C., and Stensaas, G.L., 2022, System characterization report on PRecursore IperSpettrale della Missione Applicativa (PRISMA), chap. K of Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 28 p., https://doi.org/10.3133/ofr20211030K.","productDescription":"iv, 28 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-129829","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":398958,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/k/coverthb.jpg"},{"id":398959,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/k/ofr20211030k.pdf","text":"Report","size":"14.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1030-K"},{"id":398960,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1030/k/ofr20211030k.XML"},{"id":398961,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1030/k/images"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eros\" data-mce-href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science (EROS) Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Purpose and Scope</li><li>System Description</li><li>Procedures</li><li>Measurements</li><li>Analysis</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-04-18","noUsgsAuthors":false,"publicationDate":"2022-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Kim, Minsu 0000-0003-4472-0926 minsukim@contractor.usgs.gov","orcid":"https://orcid.org/0000-0003-4472-0926","contributorId":216429,"corporation":false,"usgs":true,"family":"Kim","given":"Minsu","email":"minsukim@contractor.usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":840873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Park, Seonkyung 0000-0003-3203-1998","orcid":"https://orcid.org/0000-0003-3203-1998","contributorId":223182,"corporation":false,"usgs":true,"family":"Park","given":"Seonkyung","email":"","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":840874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Cody 0000-0001-5612-1889 chanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5612-1889","contributorId":195521,"corporation":false,"usgs":true,"family":"Anderson","given":"Cody","email":"chanderson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":840875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stensaas, Gregory L. 0000-0001-6679-2416 stensaas@usgs.gov","orcid":"https://orcid.org/0000-0001-6679-2416","contributorId":2551,"corporation":false,"usgs":true,"family":"Stensaas","given":"Gregory","email":"stensaas@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":840876,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230520,"text":"sir20225025 - 2022 - Development of continuous bathymetry and two-dimensional hydraulic models for the Willamette River, Oregon","interactions":[],"lastModifiedDate":"2026-04-09T17:01:39.748327","indexId":"sir20225025","displayToPublicDate":"2022-04-18T11:26:01","publicationYear":"2022","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":"2022-5025","displayTitle":"Development of Continuous Bathymetry and Two-Dimensional Hydraulic Models for the Willamette River, Oregon","title":"Development of continuous bathymetry and two-dimensional hydraulic models for the Willamette River, Oregon","docAbstract":"<p class=\"p1\">The Willamette River is home to at least 69 species of fish, 33 of which are native, including Chinook salmon (<i>Oncorhynchus tshawytscha</i>) and steelhead (<i>Oncorhynchus mykiss</i>). These fish need suitable hydraulic conditions, such as water depth and velocity, to fulfill various stages of their life. Hydraulic conditions are driven by interactions between channel morphology and streamflow, which throughout the Willamette River are strongly influenced by the operation of flood-control dams in upstream tributaries. To assess how streamflow management at these dams affects downstream fish habitat, the U.S. Geological Survey has developed high-resolution bathymetric datasets to support the development of two-dimensional hydraulic models. The datasets were created by combining data collected by airborne topo-bathymetric Light Detection and Ranging with boat-based sonar to create a seamless modeling surface over which a computational mesh with a resolution of roughly 5 by 5 meters was overlaid using the U.S. Army Corps of Engineers Hydraulic Engineering Center’s River Analysis System 5.0.7 hydraulic modeling software. Models were developed for about 200 river kilometers, separated into five modeling reaches, and hydraulic conditions were simulated at flows ranging from extremely low values to annual peak flows. Results of the simulations highlight distinct patterns of inundation extents, water depths, and velocities that vary longitudinally along the Willamette River. In the two farthest upstream model reaches, from Eugene to Corvallis, the river is slower, shallower, and inundates more area at similar seasonal flows than in reaches downstream from Corvallis, where the river generally is deeper and faster. These findings align with previous geomorphic analysis of the Willamette River showing the upper reaches of the river to be geomorphically more dynamic compared to the largely single-thread channel farther downstream. Results of simulations made with these hydraulic models can be used to drive fish-habitat models to further inform flow-management decisions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225025","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"White, J.S., and Wallick, J.R., 2022, Development of continuous bathymetry and two-dimensional hydraulic models for the Willamette River, Oregon: U.S. Geological Survey Scientific Investigations Report 2022–5025, 67 p., https://doi.org/10.3133/sir20225025.","productDescription":"viii, 67 p.","onlineOnly":"Y","ipdsId":"IP-112990","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":435872,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NB0KUT","text":"USGS data release","linkHelpText":"Two-dimensional HEC-RAS models and topo-bathymetric datasets for the Willamette River, Oregon"},{"id":435871,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92TTY4R","text":"USGS data release","linkHelpText":"Single-beam Echosounder Bathymetry of the Willamette River, Oregon 2015-2018"},{"id":398793,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5025/coverthb.jpg"},{"id":502381,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112938.htm","linkFileType":{"id":5,"text":"html"}},{"id":398796,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5025/sir20225025.XML"},{"id":398795,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5025/images"},{"id":398794,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5025/sir20225025.pdf","text":"Report","size":"20.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5025"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.59619140625001,\n              43.94537239244209\n            ],\n            [\n              -121.904296875,\n              43.94537239244209\n            ],\n            [\n              -121.904296875,\n              45.521743896993634\n            ],\n            [\n              -123.59619140625001,\n              45.521743896993634\n            ],\n            [\n              -123.59619140625001,\n              43.94537239244209\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/or-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/or-water\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Approach</li><li>Results and Discussion</li><li>Conclusion</li><li>References Cited</li><li>Glossary</li><li>Appendix 1</li></ul>","publishedDate":"2022-04-18","noUsgsAuthors":false,"publicationDate":"2022-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"White, James S. 0000-0002-7255-3785 jameswhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7255-3785","contributorId":290253,"corporation":false,"usgs":false,"family":"White","given":"James","email":"jameswhite@usgs.gov","middleInitial":"S.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":840638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallick, J. Rose 0000-0002-9392-272X rosewall@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-272X","contributorId":3583,"corporation":false,"usgs":true,"family":"Wallick","given":"J. Rose","email":"rosewall@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70243174,"text":"70243174 - 2022 - Introduction to the Delta Smelt flow alteration white papers","interactions":[],"lastModifiedDate":"2023-05-02T16:11:08.183874","indexId":"70243174","displayToPublicDate":"2022-04-18T10:54:06","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Introduction to the Delta Smelt flow alteration white papers","docAbstract":"<p>The management of the quantity and timing of freshwater flow into and through the San Francisco Estuary (SFE) is a perennial source of controversy in California. It is well known that freshwater outflow is a major environmental driver in estuarine ecosystems, including the SFE. However, the estuary is also the hub of California’s water distribution system, which supplies water to over 25 million Californians and a multibillion-dollar agricultural industry. This tension between water supply and maintaining flows to maintain environmental quality is at the core of the controversy.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"IEP technical report #98: White papers providing a synthesis of knowledge relating to Delta Smelt biology in the San Francisco Estuary, emphasizing effects of flow","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"California Department of Water Resources","usgsCitation":"Brown, L.R., 2022, Introduction to the Delta Smelt flow alteration white papers, chap. <i>of</i> IEP technical report #98: White papers providing a synthesis of knowledge relating to Delta Smelt biology in the San Francisco Estuary, emphasizing effects of flow, p. 5-9.","productDescription":"5 p.","startPage":"5","endPage":"9","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":416626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416625,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=200748","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.98094279060476,\n              38.310018990096125\n            ],\n            [\n              -122.98094279060476,\n              37.38439884189815\n            ],\n            [\n              -121.79974134416376,\n              37.38439884189815\n            ],\n            [\n              -121.79974134416376,\n              38.310018990096125\n            ],\n            [\n              -122.98094279060476,\n              38.310018990096125\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":871370,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70230753,"text":"70230753 - 2022 - Dynamic abiotic habitat","interactions":[],"lastModifiedDate":"2023-05-02T16:11:26.398534","indexId":"70230753","displayToPublicDate":"2022-04-18T10:45:47","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Dynamic abiotic habitat","docAbstract":"<p>The factors affecting an organism can be divided into two general classes, abiotic and biotic. Abiotic factors include features of the physical and chemical environment, such as climate, water movement, and many aspects of water quality. Biotic factors refer to those involving living organisms and their interactions, such as the organisms and processes in a food web. We also distinguish between dynamic and stationary abiotic factors. Stationary abiotic factors are fixed in the environment and include things like landscape features (e.g., bays, channels, and surface elevations) that change relatively slowly over time. Dynamic abiotic factors vary over time and space at various scales ranging from sub-daily (e.g., tidal direction and velocity) to annually (e.g., total water inflow and outflow).</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"IEP technical report #98: White papers providing a synthesis of knowledge relating to Delta Smelt biology in the San Francisco Estuary, emphasizing effects of flow","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"California Department of Water Resources","usgsCitation":"Brown, L.R., Slater, S.B., and MacWilliams, M.L., 2022, Dynamic abiotic habitat, chap. <i>of</i> IEP technical report #98: White papers providing a synthesis of knowledge relating to Delta Smelt biology in the San Francisco Estuary, emphasizing effects of flow, p. 10-54.","productDescription":"45 p.","startPage":"10","endPage":"54","ipdsId":"IP-135366","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":416624,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416623,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=200748","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.98094279060476,\n              38.310018990096125\n            ],\n            [\n              -122.98094279060476,\n              37.38439884189815\n            ],\n            [\n              -121.79974134416376,\n              37.38439884189815\n            ],\n            [\n              -121.79974134416376,\n              38.310018990096125\n            ],\n            [\n              -122.98094279060476,\n              38.310018990096125\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Larry R. 0000-0001-6702-4531","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":269405,"corporation":false,"usgs":false,"family":"Brown","given":"Larry","email":"","middleInitial":"R.","affiliations":[{"id":55970,"text":"USGS CAWSC (not in system - posthumous)","active":true,"usgs":false}],"preferred":false,"id":841285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Steven B.","contributorId":178380,"corporation":false,"usgs":false,"family":"Slater","given":"Steven","email":"","middleInitial":"B.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":841286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacWilliams, Michael L.","contributorId":173010,"corporation":false,"usgs":false,"family":"MacWilliams","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":27140,"text":"Delta Modeling Associates, Inc.","active":true,"usgs":false}],"preferred":false,"id":841287,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230515,"text":"sir20225037 - 2022 - Conceptual models of groundwater flow in the Grand Canyon region, Arizona","interactions":[],"lastModifiedDate":"2026-04-09T17:23:03.921438","indexId":"sir20225037","displayToPublicDate":"2022-04-18T10:34:30","publicationYear":"2022","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":"2022-5037","displayTitle":"Conceptual models of groundwater flow in the Grand Canyon region, Arizona","title":"Conceptual models of groundwater flow in the Grand Canyon region, Arizona","docAbstract":"<p>The conceptual models of groundwater flow outlined herein synthesize what is known and hypothesized about the groundwater-flow systems that discharge to the Grand Canyon of Arizona. These models interpret the hydrogeologic characteristics and hydrologic dynamics of the physical systems into a framework for understanding key aspects of the physical systems as they relate to groundwater flow and contaminant transport. This report describes five individual groundwater-flow systems draining to the Grand Canyon: Kaibab, Uinkaret-Kanab, Marble-Shinumo, Cataract, and Blue Spring. These systems are present in the saturated parts of the lower Paleozoic carbonate section exposed on the walls of the Grand Canyon; specifically, the Mississippian Redwall Limestone down through the Cambrian Muav Limestone of Tonto Group. Together, the systems described in this report compose the regional groundwater-flow system. Local to subregional flow systems in the sedimentary units of the overlying Permian section could provide transport pathways from the land surface to the regional flow system. Despite the potential importance of the local systems, the focus of this report is on the systems present in the lower Paleozoic section because all major springs in the Grand Canyon discharge from those units.</p><p>The most important hydrogeologic characteristics include system boundaries imposed by major tectonic structures, and the degree to which karstification influences the magnitude and direction of flow in each system. Important hydrologic dynamics include locations and rates of potential groundwater recharge, vertical pathways to the regional aquifer, and the locations, magnitude, geochemical signature, and hydrostratigraphic setting of groundwater discharge from springs. Unknown properties or conditions that represent the greatest uncertainties in our current understanding of the regional groundwater-flow system are identified for additional consideration.</p><p>Groundwater data are sparse owing to geographic remoteness and extreme depth to water throughout much of the study area. This paucity of information was diminished with the development of a structural contour map of the top and bottom surfaces of the regional aquifer, and a Soil-Water-Balance model that produces spatial distributions of rates of potential recharge. Investigation of the five groundwater-flow systems reveals important, though mostly qualitative, characteristics controlling the rates and directions of groundwater flow. Karstification has produced dissolution-enhanced conduit flow pathways to various degrees in each of the systems. Parts of each system exhibit relative structural uplift or downdropping of the hydrostratigraphic units of the regional aquifer, with some uplifted sections dipping inward toward the Grand Canyon and others dipping outward. The Kaibab groundwater system is archetypical of an uplifted, inward-dipping karst system, whereas the Blue Spring groundwater system and most of the Cataract groundwater system are representative instances of a downdropped or basin karst system. The Uinkaret-Kanab groundwater-flow system is structurally similar to the basin karst systems but karstification has not progressed to nearly the same degree. The Marble-Shinumo groundwater system does not fall cleanly into either category and its boundaries are the most uncertain of all the groundwater systems.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225037","usgsCitation":"Knight, J.E., and Huntoon, P.W., 2022, Conceptual models of groundwater flow in the Grand Canyon region, Arizona: U.S. Geological Survey Scientific Investigation Report 2022–5037, 51 p., https://doi.org/10.3133/sir20225037.","productDescription":"Report: vi, 51 p.; Data Release","numberOfPages":"51","onlineOnly":"Y","ipdsId":"IP-097904","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":502392,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112937.htm","linkFileType":{"id":5,"text":"html"}},{"id":398737,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FQ7BSY","text":"Soil-Water-Balance (SWB) model archive used to simulate potential mean annual recharge in the Grand Canyon region, Arizona","description":"Knight, J.E., and Jones, C.J., 2022, Soil-Water-Balance (SWB) model archive used to simulate potential mean annual recharge in the Grand Canyon region, Arizona: U.S. Geological Survey data release, https://doi.org/10.5066/P9FQ7BSY."},{"id":398739,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5037/sir20225037.pdf","text":"Report","size":"24 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":398738,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5037/covrthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.64257812499999,\n              34.79576153473033\n            ],\n            [\n              -110.58837890625,\n              34.79576153473033\n            ],\n            [\n              -110.58837890625,\n              36.96744946416934\n            ],\n            [\n              -113.64257812499999,\n              36.96744946416934\n            ],\n            [\n              -113.64257812499999,\n              34.79576153473033\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_az@usgs.gov\" data-mce-href=\"mailto:dc_az@usgs.gov\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/az-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/az-water\">Arizona Water Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p>","tableOfContents":"<ul><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Methods of Investigation&nbsp;&nbsp;</li><li>Hydrogeologic Framework&nbsp;&nbsp;</li><li>Conceptual Models of Groundwater-Flow Systems in the Grand Canyon Region&nbsp;&nbsp;</li><li>Summary&nbsp;&nbsp;&nbsp;</li><li>Acknowledgments&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-04-18","noUsgsAuthors":false,"publicationDate":"2022-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Knight, Jacob E. 0000-0003-0271-9011 jknight@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-9011","contributorId":5143,"corporation":false,"usgs":true,"family":"Knight","given":"Jacob","email":"jknight@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huntoon, Peter W.","contributorId":239536,"corporation":false,"usgs":false,"family":"Huntoon","given":"Peter","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":840627,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70232363,"text":"70232363 - 2022 - Harmful algal blooms in the Alaskan Arctic: An emerging threat as oceans warm","interactions":[],"lastModifiedDate":"2022-06-29T12:33:15.204674","indexId":"70232363","displayToPublicDate":"2022-04-18T07:30:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2929,"text":"Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Harmful algal blooms in the Alaskan Arctic: An emerging threat as oceans warm","docAbstract":"<p>Harmful algal blooms (HABs) present an emerging threat to human and ecosystem health in the Alaskan Arctic. Two HAB toxins are of concern in the region: saxitoxins (STXs), a family of compounds produced by the dinoflagellate<span>&nbsp;</span><i>Alexandrium catenella</i>, and domoic acid (DA), produced by multiple species in the diatom genus<span>&nbsp;</span><i>Pseudo-nitzschia</i>. These potent neurotoxins cause paralytic and amnesic shellfish poisoning, respectively, in humans, and can accumulate in marine organisms through food web transfer, causing illness and mortality among a suite of wildlife species. With pronounced warming in the Arctic, along with enhanced transport of cells from southern waters, there is significant potential for more frequent and larger HABs of both types. STXs and DA have been detected in the tissues of a range of marine organisms in the region, many of which are important food resources for local residents. The unique nature of the Alaskan Arctic, including difficult logistical access, lack of response infrastructure, and reliance of coastal populations on the noncommercial acquisition of marine resources for nutritional, cultural, and economic well-being, poses urgent and significant challenges as this region warms and the potential for impacts from HABs expands.</p>","language":"English","publisher":"Oceanography Society","doi":"10.5670/oceanog.2022.121","usgsCitation":"Anderson, D., Fachon, E., Hubbard, K., Lefebvre, K., Lin, P., Pickart, R., Richlen, M., Sheffield, G., and Van Hemert, C.R., 2022, Harmful algal blooms in the Alaskan Arctic: An emerging threat as oceans warm: Oceanography, v. 35, no. 2, 27 p., https://doi.org/10.5670/oceanog.2022.121.","productDescription":"27 p.","ipdsId":"IP-136279","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":448098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5670/oceanog.2022.121","text":"Publisher Index Page"},{"id":402672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Donald","contributorId":189872,"corporation":false,"usgs":false,"family":"Anderson","given":"Donald","affiliations":[],"preferred":false,"id":845353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fachon, Evangeline","contributorId":292636,"corporation":false,"usgs":false,"family":"Fachon","given":"Evangeline","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":845354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubbard, Katherine","contributorId":292637,"corporation":false,"usgs":false,"family":"Hubbard","given":"Katherine","affiliations":[{"id":36335,"text":"Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":845355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lefebvre, Kathi","contributorId":257892,"corporation":false,"usgs":false,"family":"Lefebvre","given":"Kathi","affiliations":[{"id":52164,"text":"Environmental and Fisheries Science Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanographic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":845356,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lin, Peigen","contributorId":292640,"corporation":false,"usgs":false,"family":"Lin","given":"Peigen","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":845357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pickart, Robert","contributorId":292641,"corporation":false,"usgs":false,"family":"Pickart","given":"Robert","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":845358,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richlen, Mindy","contributorId":292643,"corporation":false,"usgs":false,"family":"Richlen","given":"Mindy","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":845359,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sheffield, Gay","contributorId":257533,"corporation":false,"usgs":false,"family":"Sheffield","given":"Gay","email":"","affiliations":[{"id":52049,"text":"Alaska Sea Grant","active":true,"usgs":false}],"preferred":false,"id":845360,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":845361,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70256703,"text":"70256703 - 2022 - Detection of Splendidofilaria sp. (Onchocercidae:Splendidofilariinae) Microfilaria within Alaskan ground-dwelling birds in the grouse subfamily tetraoninae using taqman probe-based real-time PCR","interactions":[],"lastModifiedDate":"2024-09-03T12:10:00.978263","indexId":"70256703","displayToPublicDate":"2022-04-18T07:06:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2414,"text":"Journal of Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Detection of Splendidofilaria sp. (Onchocercidae:Splendidofilariinae) Microfilaria within Alaskan ground-dwelling birds in the grouse subfamily tetraoninae using taqman probe-based real-time PCR","docAbstract":"<div id=\"divARTICLECONTENTTop\"><div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Grouse and ptarmigan (Galliformes) harbor fairly diverse helminth faunas that can impact the host's health, including filarial nematodes in the genus<span>&nbsp;</span><i>Splendidofilaria</i>. As host and parasite distributions are predicted to shift in response to recent climate change, novel parasites may be introduced into a region and impose additional stressors on bird populations. Limited information is available on the prevalence of filariasis in Alaska galliforms. To date, no molecular surveys have been completed. Past studies relied on examining blood smears or total body necropsies, which are time-consuming and may not detect filarial parasites with low prevalence in hosts. Therefore, we developed a TaqMan probe-based real-time PCR assay targeting the cytochrome<span>&nbsp;</span><i>c</i><span>&nbsp;</span>oxidase 1 gene (<i>COI</i>) of<span>&nbsp;</span><i>Splendidofilaria</i><span>&nbsp;</span>to decrease processing times and increase sensitivity as well as provide baseline data on the diversity of filariid infections in galliform species in Alaska. We screened a combined total of 708 galliform samples (678 unique individual birds) from different tissues (blood, muscle, and lung) for the presence of filarial DNA across the state of Alaska. Real-time PCR screening revealed an overall prevalence of filarial infection of 9.5% across species:<span>&nbsp;</span><i>Bonasa umbellus</i><span>&nbsp;</span>(0%, n = 23),<span>&nbsp;</span><i>Dendragapus fuliginosus</i><span>&nbsp;</span>(0%, n = 8),<span>&nbsp;</span><i>Falcipennis canadensis</i><span>&nbsp;</span>(26.8%, n = 198),<span>&nbsp;</span><i>Lagopus lagopus</i><span>&nbsp;</span>(2.6%, n = 274),<span>&nbsp;</span><i>Lagopus leucura</i><span>&nbsp;</span>(0%, n = 23),<span>&nbsp;</span><i>Lagopus muta</i><span>&nbsp;</span>(3%, n = 166), and<span>&nbsp;</span><i>Tympanuchus phasianellus</i><span>&nbsp;</span>(12.5%, n = 16). We observed microfilarial infections throughout most of Alaska except in Arctic regions and the Aleutian Islands where viable vectors may not be present.</p></div></div></div>","language":"English","publisher":"BioOne","doi":"10.1645/21-101","usgsCitation":"Greiman, S., Wilson, R., Sesmundo, B., Reakoff, J., and Sonsthagen, S.A., 2022, Detection of Splendidofilaria sp. (Onchocercidae:Splendidofilariinae) Microfilaria within Alaskan ground-dwelling birds in the grouse subfamily tetraoninae using taqman probe-based real-time PCR: Journal of Parasitology, v. 108, no. 2, p. 192-198, https://doi.org/10.1645/21-101.","productDescription":"7 p.","startPage":"192","endPage":"198","ipdsId":"IP-133250","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Greiman, Stephen E.","contributorId":341617,"corporation":false,"usgs":false,"family":"Greiman","given":"Stephen E.","affiliations":[{"id":16976,"text":"Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":908707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E.","contributorId":341618,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert E.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":908708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sesmundo, Briana","contributorId":341619,"corporation":false,"usgs":false,"family":"Sesmundo","given":"Briana","email":"","affiliations":[{"id":16976,"text":"Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":908709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reakoff, Jack","contributorId":341622,"corporation":false,"usgs":false,"family":"Reakoff","given":"Jack","email":"","affiliations":[{"id":81761,"text":"Alaska Subsistence Hunter","active":true,"usgs":false}],"preferred":false,"id":908710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":908711,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70248341,"text":"70248341 - 2022 - Great diversity of KSα sequences from bat-associated microbiota suggests novel sources of uncharacterized natural products","interactions":[],"lastModifiedDate":"2023-09-08T11:47:16.081152","indexId":"70248341","displayToPublicDate":"2022-04-18T06:45:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1619,"text":"FEMS Microbiology Ecology","onlineIssn":"1574-6941","printIssn":"0168-6496","active":true,"publicationSubtype":{"id":10}},"title":"Great diversity of KSα sequences from bat-associated microbiota suggests novel sources of uncharacterized natural products","docAbstract":"<p class=\"chapter-para\">Polyketide synthases (PKSs) are multidomain enzymes in microorganisms that synthesize complex, bioactive molecules. PKS II systems are iterative, containing only a single representative of each domain: ketosynthase alpha (KS<span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>&amp;#x03B1;</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mi\">α</span></span></span></span><span class=\"MJX_Assistive_MathML\">�</span></span>⁠</span>), ketosynthase beta and the acyl carrier protein. Any gene encoding for one of these domains is representative of an entire PKS II biosynthetic gene cluster (BGC). Bat skin surfaces represent an extreme environment prolific in Actinobacteria that may constitute a source for bioactive molecule discovery. KS<span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>&amp;#x03B1;</mi></math>\"><span id=\"MathJax-Span-4\" class=\"math\"><span><span id=\"MathJax-Span-5\" class=\"mrow\"><span id=\"MathJax-Span-6\" class=\"mi\">α</span></span></span></span><span class=\"MJX_Assistive_MathML\">�</span></span></span><span>&nbsp;</span>sequences were obtained from culturable bacteria from bats in the southwestern United States. From 467 bat bacterial isolates, we detected 215 (46%) had KS<span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>&amp;#x03B1;</mi></math>\"><span id=\"MathJax-Span-7\" class=\"math\"><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mi\">α</span></span></span></span><span class=\"MJX_Assistive_MathML\">�</span></span></span><span>&nbsp;</span>sequences. Sequencing yielded 210 operational taxonomic units, and phylogenetic placement found 45 (21%) shared &lt;85% homology to characterized metabolites. Additionally, 16 Actinobacteria genomes from the bat microbiome were analyzed for biosynthetic capacity. A range of 69–93% of the BGCs were novel suggesting the bat microbiome may contain valuable uncharacterized natural products. Documenting and characterizing these are important in understanding the susceptibility of bats to emerging infectious diseases, such as white-nose syndrome. Also noteworthy was the relationship between KS<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>&amp;#x03B1;</mi></math>\"><span id=\"MathJax-Span-10\" class=\"math\"><span><span id=\"MathJax-Span-11\" class=\"mrow\"><span id=\"MathJax-Span-12\" class=\"mi\">α</span></span></span></span><span class=\"MJX_Assistive_MathML\">�</span></span></span><span>&nbsp;</span>homology and total BGC novelty within each fully sequenced strain. We propose amplification and detection of KS<span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>&amp;#x03B1;</mi></math>\"><span id=\"MathJax-Span-13\" class=\"math\"><span><span id=\"MathJax-Span-14\" class=\"mrow\"><span id=\"MathJax-Span-15\" class=\"mi\">α</span></span></span></span><span class=\"MJX_Assistive_MathML\">�</span></span></span><span>&nbsp;</span>could predict a strain's global biosynthetic capacity.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/femsmc/xtac012","usgsCitation":"Hamm, P.S., Hathaway, J.J., Winter, A.S., Caimi, N.A., Buecher, D.C., Valdez, E.W., and Northup, D.E., 2022, Great diversity of KSα sequences from bat-associated microbiota suggests novel sources of uncharacterized natural products: FEMS Microbiology Ecology, v. 3, xtac012, 11 p., https://doi.org/10.1093/femsmc/xtac012.","productDescription":"xtac012, 11 p.","ipdsId":"IP-129167","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":448101,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/femsmc/xtac012","text":"Publisher Index Page"},{"id":435875,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IDMYXV","text":"USGS data release","linkHelpText":"Data related to great diversity of KSalpha genes from bat skin external microbiota, from Arizona and New Mexico, indicate novel PKSII biosynthetic gene clusters"},{"id":420651,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","noUsgsAuthors":false,"publicationDate":"2022-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Hamm, Paris S.","contributorId":193654,"corporation":false,"usgs":false,"family":"Hamm","given":"Paris","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":882622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hathaway, Jennifer J.M.","contributorId":329573,"corporation":false,"usgs":false,"family":"Hathaway","given":"Jennifer","email":"","middleInitial":"J.M.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":882623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winter, Ara S.","contributorId":199826,"corporation":false,"usgs":false,"family":"Winter","given":"Ara","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":882624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caimi, Nicole A.","contributorId":193655,"corporation":false,"usgs":false,"family":"Caimi","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":882625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buecher, Debbie C.","contributorId":193657,"corporation":false,"usgs":false,"family":"Buecher","given":"Debbie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":882626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882627,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Northup, Diana E.","contributorId":193656,"corporation":false,"usgs":false,"family":"Northup","given":"Diana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":882628,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70256639,"text":"70256639 - 2022 - A review of empirical evidence that examines the effectiveness of harvest regulation evaluations in freshwater systems: A systematic, standardized collaborative approach","interactions":[],"lastModifiedDate":"2024-08-12T22:13:51.381343","indexId":"70256639","displayToPublicDate":"2022-04-17T17:10:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"A review of empirical evidence that examines the effectiveness of harvest regulation evaluations in freshwater systems: A systematic, standardized collaborative approach","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Harvest regulations are important tools that fisheries professionals use to impact fish abundance, alter population size structure, and improve fishing opportunities. Fisheries professionals often assume that specialized harvest regulations will have specific effects on target fish populations, but these predictions are not always realized because theory and practice do not always match (literature indicates that predictions are not met in about half of the cases). To identify trends that can improve the future success of harvest regulations, we reviewed a representative sample of harvest regulation evaluations for inland sport fish (i.e., 62 evaluations from 41 studies). Our review revealed gaps related to quantitative predictions, evaluation duration, statistical design, researcher–manager collaboration, and data standardization. Fisheries professionals can benefit from shared and thoughtful data collection designs and protocol standardizations. These designs can transform assessment sampling into empirical regulation evaluations that provide generality across locations and time periods with similar effort and cost.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10808","usgsCitation":"Chestnut- Faull, K., Mather, M.E., Phelps, Q., and Shoup, D., 2022, A review of empirical evidence that examines the effectiveness of harvest regulation evaluations in freshwater systems: A systematic, standardized collaborative approach: Fisheries Magazine, v. 47, no. 10, p. 423-434, https://doi.org/10.1002/fsh.10808.","productDescription":"12 p.","startPage":"423","endPage":"434","ipdsId":"IP-137844","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Chestnut- Faull, Kristen","contributorId":341447,"corporation":false,"usgs":false,"family":"Chestnut- Faull","given":"Kristen","email":"","affiliations":[{"id":13408,"text":"Tennessee Wildlife Resources Agency","active":true,"usgs":false}],"preferred":false,"id":908433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phelps, Quinton","contributorId":341448,"corporation":false,"usgs":false,"family":"Phelps","given":"Quinton","affiliations":[{"id":16806,"text":"Missouri State University","active":true,"usgs":false}],"preferred":false,"id":908435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shoup, Dan","contributorId":341449,"corporation":false,"usgs":false,"family":"Shoup","given":"Dan","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":908436,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70255171,"text":"70255171 - 2022 - Resource selection and species interactions between native and non-native fishes in a simulated stream system","interactions":[],"lastModifiedDate":"2024-06-13T14:41:42.534496","indexId":"70255171","displayToPublicDate":"2022-04-16T09:38:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Resource selection and species interactions between native and non-native fishes in a simulated stream system","docAbstract":"<p><span>Effective fishery management necessitates understanding of resource partitioning by fishes that inhabit complex systems composed of biotic and abiotic features. Evaluations of non-native species introductions have continually demonstrated adverse effects associated with abundance and distribution of native fishes. Therefore, understanding resource selection and interactions between native and non-native species is important for recovery efforts. Habitat use by two native fish species (largescale sucker&nbsp;</span><i>Catostomus macrocheilus</i><span>&nbsp;[Girard] and mountain whitefish&nbsp;</span><i>Prosopium williamsoni</i><span>&nbsp;[Girard]) and one non-native fish species (pumpkinseed&nbsp;</span><i>Lepomis gibbosus</i><span>&nbsp;[Linnaeus]) of the Kootenai River, Idaho, were evaluated in a laboratory stream system. Trials were conducted in allopatry and in sympatry with and without the presence of wood to describe habitat selection in the context of on-going habitat rehabilitation efforts. Interactions were evident between native largescale sucker and non-native pumpkinseed concerning use of a woody structure and current velocity. Mountain whitefish used low-velocity habitats and selected locations that were further from wood when in sympatry with pumpkinseed. Our research suggests that habitat use of native, large-river fishes may be influenced by the presence of a non-native species, and that considering such interactions is critical when designing and implementing habitat rehabilitation efforts in river ecosystems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/fme.12552","usgsCitation":"Branigan, P., Quist, M.C., Shepard, B., and Ireland, S., 2022, Resource selection and species interactions between native and non-native fishes in a simulated stream system: Fisheries Management and Ecology, v. 29, no. 5, p. 627-637, https://doi.org/10.1111/fme.12552.","productDescription":"11 p.","startPage":"627","endPage":"637","ipdsId":"IP-116634","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490029,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1996450","text":"External Repository"},{"id":430135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Branigan, Philip R.","contributorId":206650,"corporation":false,"usgs":false,"family":"Branigan","given":"Philip R.","affiliations":[{"id":37369,"text":"University of Idaho, Moscow, ID","active":true,"usgs":false}],"preferred":false,"id":903658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shepard, Bradley","contributorId":152364,"corporation":false,"usgs":false,"family":"Shepard","given":"Bradley","affiliations":[{"id":18917,"text":"4B.B. Shepard and Associates, Livingston, MT, 59047 USA","active":true,"usgs":false}],"preferred":false,"id":903659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ireland, Susan","contributorId":270219,"corporation":false,"usgs":false,"family":"Ireland","given":"Susan","affiliations":[{"id":29827,"text":"Kootenai Tribe of Idaho, Bonners Ferry, ID, USA","active":true,"usgs":false}],"preferred":false,"id":903660,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230544,"text":"sir20225038 - 2022 - Using microbial source tracking to identify fecal contamination sources in Lake Montauk on Long Island, New York","interactions":[],"lastModifiedDate":"2026-04-09T17:24:41.770854","indexId":"sir20225038","displayToPublicDate":"2022-04-15T14:20:00","publicationYear":"2022","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":"2022-5038","displayTitle":"Using Microbial Source Tracking To Identify Fecal Contamination Sources in Lake Montauk on Long Island, New York","title":"Using microbial source tracking to identify fecal contamination sources in Lake Montauk on Long Island, New York","docAbstract":"<p>The U.S. Geological Survey worked in cooperation with the Concerned Citizens of Montauk and the New York State Department of Environmental Conservation to assess the potential sources of fecal contamination entering Lake Montauk, an artificial embayment on the tip of the southern fork of Suffolk County, Long Island, New York. Water samples are routinely collected by the New York State Department of Environmental Conservation in the harbor and analyzed for fecal coliform bacteria, an indicator of fecal contamination, to determine the need for closure of shellfish beds for harvest and consumption. Fecal coliform and other bacteria are an indicator of the potential presence of pathogenic (disease-causing) bacteria. However, indicator bacteria alone cannot determine the biological or geographical sources of contamination; therefore, microbial source tracking was implemented to determine various biological sources of contamination. In addition, information such as the location, weather and season, and surrounding land use where a sample was collected help determine the geographical source and conveyance of land-based water to the embayment.</p><p>Overall, human and waterfowl markers were infrequently and sporadically present in source and receptor samples at low concentrations. By evaluating the microbial source tracking markers alongside fecal coliform data and land-use information, geographical sources of fecal contamination discharging from various source sites, such as culverts and ponds, were better differentiated. Analysis revealed that stormwater runoff and pond drainage were the most likely transport mechanisms for fecal contamination to Lake Montauk. When considering Lake Montauk as a whole, the highest frequency of fecal coliform detections in source site samples was found to be under wet summer conditions, as evidenced by the high fecal coliform concentrations at the South Beach, Stepping Stones Pond, and Stepping Stones Pond Culvert sites (300, 220, and more than 16,000 most probable number per 100 milliliters, respectively). No point sources of fecal coliform contamination to Lake Montauk were identified; however, receptor site samples adjacent to marinas (Lake Montauk Inlet and Star Island North sites) had a high frequency of human marker detections but were associated with fecal coliform concentrations at or below the reporting limit. The absence of fecal coliform and human microbial source tracking markers in groundwater samples indicated that water from septic systems did not influence the lake during this study. Further, the sandy sediment sample collected at the South Beach site was negative for all microbial source tracking markers and is unlikely to contribute fecal coliform from the tested host organisms when resuspended in the water column through tidal shifts or boat activity.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225038","collaboration":"Prepared in cooperation with Concerned Citizens of Montauk and New York State Department of Environmental Conservation","usgsCitation":"Tagliaferri, T.N., Fisher, S.C., Kephart, C.M., Cheung, N., Reed, A.P., and Welk, R.J., 2022, Using microbial source tracking to identify fecal contamination sources in Lake Montauk on Long Island, New York: U.S. Geological Survey Scientific Investigations Report 2022–5038, 16 p., https://doi.org/10.3133/sir20225038.","productDescription":"Report: vi, 16 p.; Database","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-129971","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":502393,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112933.htm","linkFileType":{"id":5,"text":"html"}},{"id":398849,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20225038/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5038"},{"id":398823,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.er.usgs.gov/publication/sir20215033","text":"Scientific Investigations Report 2021–5033","linkHelpText":"- Overview and Methodology for a Study To Identify Fecal Contamination Sources Using Microbial Source Tracking in Seven Embayments on Long Island, New York"},{"id":398822,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the nation"},{"id":398821,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5038/images/"},{"id":398820,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5038/sir20225038.XML"},{"id":398819,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5038/sir20225038.pdf","text":"Report","size":"1.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5038"},{"id":398818,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5038/coverthb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Lake Montauk","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.95701599121094,\n              41.03715373847282\n            ],\n            [\n              -71.87461853027344,\n              41.03715373847282\n            ],\n            [\n              -71.87461853027344,\n              41.084009326420926\n            ],\n            [\n              -71.95701599121094,\n              41.084009326420926\n            ],\n            [\n              -71.95701599121094,\n              41.03715373847282\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180-8349</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Site Description</li><li>Approach and Methods</li><li>Results</li><li>Classification of Source Sites</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Sample Collection in Lake Montauk on Long Island, New York</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-04-15","noUsgsAuthors":false,"publicationDate":"2022-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Tagliaferri, Tristen N. 0000-0001-7408-7899 ttagliaferri@usgs.gov","orcid":"https://orcid.org/0000-0001-7408-7899","contributorId":5138,"corporation":false,"usgs":true,"family":"Tagliaferri","given":"Tristen","email":"ttagliaferri@usgs.gov","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheung, Natalie 0000-0003-2987-0440 ncheung@usgs.gov","orcid":"https://orcid.org/0000-0003-2987-0440","contributorId":258429,"corporation":false,"usgs":true,"family":"Cheung","given":"Natalie","email":"ncheung@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Ariel P. 0000-0002-0792-5204","orcid":"https://orcid.org/0000-0002-0792-5204","contributorId":219992,"corporation":false,"usgs":true,"family":"Reed","given":"Ariel","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welk, Robert J. 0000-0003-0852-5584 rwelk@usgs.gov","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":194109,"corporation":false,"usgs":true,"family":"Welk","given":"Robert","email":"rwelk@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":840704,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70232529,"text":"70232529 - 2022 - Spatial effects in relation to reproductive performance of Common Murres (Uria aalge) at a re-established colony","interactions":[],"lastModifiedDate":"2022-07-06T13:52:28.353892","indexId":"70232529","displayToPublicDate":"2022-04-15T08:38:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatial effects in relation to reproductive performance of Common Murres (<i>Uria aalge</i>) at a re-established colony","title":"Spatial effects in relation to reproductive performance of Common Murres (Uria aalge) at a re-established colony","docAbstract":"<p><span>A main goal of seabird colony restoration is for the colony to become self-sustaining. To do so, elevated rates must be attained in (1) reproductive success and (2) recruitment by immigrants and birds produced at the colony. Thus, an understanding of the factors affecting reproductive success and recruitment at restoration sites is vital. We examined how spatial features at the colony level affected reproductive success of Common Murres&nbsp;</span><i>Uria aalge</i><span>&nbsp;(hereafter, murres) over a six-year period at Devil's Slide Rock, California, a colony re-established using social attraction techniques. Clusters of sites with similar egg-laying dates, as well as high hatching and breeding success, occurred in the densest portion of the colony, which was also the last area occupied by murres at the time of extirpation and the first area to be re-colonized. Clusters of sites with low success occurred in outlying, low-density portions of the colony. Breeding success, influenced largely by high fledging success, averaged &gt; 60% most years. Reproductive success was greatest at breeding sites with earlier egg-laying dates, those in closest proximity to the breeding sites of other murres and the Brandt's Cormorant&nbsp;</span><i>Urile penicillatus</i><span>, and those outside Brown Pelican&nbsp;</span><i>Pelecanus occidentalis</i><span>&nbsp;disturbance zones. Based on our findings, for future murre restoration projects in the California Current System, we suggest (1) placing social attraction equipment in the area(s) last utilized by murres prior to extirpation, (2) attempting to establish two dense breeding groups, (3) targeting sites already utilized regularly by nesting Brandt's Cormorants, and (4) avoiding sites or habitats prone to disturbance by larger and aggressive species such as Brown Pelicans, Bald Eagles&nbsp;</span><i>Haliaeetus leucocephalus</i><span>, or Common Ravens&nbsp;</span><i>Corvus corax</i><span>.</span></p>","language":"English","publisher":"Pacific Seabird Group","usgsCitation":"McChesney, G.J., Yee, J.L., Parker, M.W., Perry, W.M., Carter, H.R., Golightly, R.T., and Kress, S.W., 2022, Spatial effects in relation to reproductive performance of Common Murres (Uria aalge) at a re-established colony: Marine Ornithology: Journal of Seabird Research and Conservation, v. 50, no. 1, p. 23-34.","productDescription":"12 p.","startPage":"23","endPage":"34","ipdsId":"IP-132930","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":403061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":403041,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/content/get.cgi?rn=1456"}],"country":"United States","state":"California","otherGeospatial":"Devil's Slide Rock","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.52188220620154,\n              37.57732400912232\n            ],\n            [\n              -122.52179101109505,\n              37.577352706525126\n            ],\n            [\n              -122.52181246876717,\n              37.57729159167251\n 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,{"id":70262535,"text":"70262535 - 2022 - Prescribed fire and other fuel-reduction treatments alter ground spider assemblages in a Southern Appalachian hardwood forest","interactions":[],"lastModifiedDate":"2025-01-22T15:07:00.412197","indexId":"70262535","displayToPublicDate":"2022-04-15T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Prescribed fire and other fuel-reduction treatments alter ground spider assemblages in a Southern Appalachian hardwood forest","docAbstract":"<p><span>Prescribed burns and understory thinnings are forest management practices aimed at reducing fuel loads to lessen wildfire threat in the Southern Appalachians, USA. Spiders play a critical role in forest ecosystems by controlling insect populations and providing an important food source for vertebrates. We used pitfall and colored pan traps to investigate how abundance, species richness, and diversity of spiders differed among three fuel reduction treatments administered repeatedly over a 15-year period and untreated controls. Additionally, we examined how spiders responded to one round (before and after) of fuel reduction treatments. We established treatments within the 15-year period as follows: mechanical understory removal (twice; M), prescribed burning (four times; B), mechanical understory removal followed one year later by high-severity prescribed burns and three subsequent burns (MB), and untreated controls (C). Our study period (2014–2016) occurred after multiple prescribed burns and two rounds of mechanical understory removal had occurred. Salticidae and Lycosidae were the two most commonly collected spider families in Southern Appalachian hardwood forests. Generally, we found increased spider abundances within all fuel-reduction treatments compared to controls. Individual spider families and species showed variable responses to treatments, but abundance of several spider families was greater in one or more fuel-reduction treatments than in controls. Additionally, abundance of several spider families and hunting/web building guilds (webs built for hunting purposes or defense) exhibited yearly differences to the last round of fuel-reduction treatments. Overall, our results suggest that changes in the overstory and understory of a forest are important drivers of regional spider abundance and assemblages, and forest management practices that modify forest structure can dramatically alter spider abundance and richness, usually in a positive manner.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2022.120127","usgsCitation":"Campbell, J., Grodsky, S.M., Milne, M., Viguiera, P., Viguiera, C., Stern, E., and Greenberg, C., 2022, Prescribed fire and other fuel-reduction treatments alter ground spider assemblages in a Southern Appalachian hardwood forest: Forest Ecology and Management, v. 510, 120127, 9 p., https://doi.org/10.1016/j.foreco.2022.120127.","productDescription":"120127, 9 p.","ipdsId":"IP-128340","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481089,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index 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Patrick","contributorId":349591,"corporation":false,"usgs":false,"family":"Viguiera","given":"Patrick","affiliations":[{"id":83493,"text":"High Point University","active":true,"usgs":false}],"preferred":false,"id":924498,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Viguiera, Cynthia C.","contributorId":349592,"corporation":false,"usgs":false,"family":"Viguiera","given":"Cynthia C.","affiliations":[{"id":83493,"text":"High Point University","active":true,"usgs":false}],"preferred":false,"id":924499,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stern, Emily","contributorId":349594,"corporation":false,"usgs":false,"family":"Stern","given":"Emily","affiliations":[{"id":79086,"text":"University of Indianapolis","active":true,"usgs":false}],"preferred":false,"id":924500,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Greenberg, Cathryn H.","contributorId":349596,"corporation":false,"usgs":false,"family":"Greenberg","given":"Cathryn 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,{"id":70230509,"text":"70230509 - 2022 - Hawaiian forest bird conservation strategies for minimizing the risk of extinction: biological and biocultural considerations","interactions":[],"lastModifiedDate":"2022-05-06T13:14:33.552254","indexId":"70230509","displayToPublicDate":"2022-04-14T13:10:15","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":6053,"text":"Hawaii Cooperative Studies Unit Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"103","title":"Hawaiian forest bird conservation strategies for minimizing the risk of extinction: biological and biocultural considerations","docAbstract":"<p>The iconic forest birds of Hawai‘i are facing a conservation crisis. Across the Hawaiian Islands, native forest birds have been experiencing population declines that have accelerated in the last one to two decades. While habitat loss, invasive species, and non-native predators have negatively affected forest bird species for hundreds of years, and continue to do so, introduced diseases, particularly avian malaria, are the greatest threat to forest birds today. Further, climate change has increased temperatures in the high-elevation forests, facilitating the spread of disease into areas that were once largely disease-free. Rapid population declines have now (2022) pushed four Hawaiian honeycreeper species to the brink of extinction: the endangered ‘akikiki (<i>Oreomystis bairdi</i>) and ‘akeke‘e (<i>Loxops caeruleirostris</i>) on Kaua‘i Island, and kiwikiu (<i>Pseudonestor xanthophrys</i>) and ‘ākohekohe (<i>Palmeria dolei</i>) on Maui Island. The biologists that study these birds strongly agree that without a rapid conservation response to the threat of increasing disease mortality there is a high probability these species will go extinct in the coming decade. To help evaluate alternative conservation strategies for minimizing the risk of extinction, we convened diverse groups of experts with broad experience in Hawai‘i forest birds and ecosystems, as well as the management approaches being considered, to assess the probability of success of alternative management actions. In addition to assessing this crisis from a biological perspective, we convened a group of Native Hawaiian participants that have a strong connection to the forest birds, forests, and the integration of their culture in natural and biocultural resource management. They give voice to the significance of forest birds to Native Hawaiians and provide their perspectives on alternative management actions. Broadly, the three alternative management actions being considered to prevent the extinction of forest birds from the increasing threat of disease are (1) landscape-level mosquito control through the Wolbachia incompatible insect technique, (2) captive care, and (3) conservation translocations. The two key components of the problem of preventing extinction in these four bird species is time and risk. For each species, very few individuals remain, and they are all in danger of imminent extinction. Each management action takes time to implement, which might exceed the actual time to extinction. Additionally, each of these conservation actions has potential benefits and inherent risks, as well as substantial uncertainty in terms of being successful. Native Hawaiian perspectives and considerations also vary across the conservation actions. The expert evaluations summarized in this report provide a broad assessment of conservation strategies that could be undertaken to prevent the extinction of ‘akikiki, ‘akeke‘e, kiwikiu, and ‘ākohekohe. While this report does not recommend specific actions, the information is intended to support decision-makers as they assess which, if any, conservation strategies to pursue.</p>","language":"English","publisher":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","usgsCitation":"Paxton, E.H., Laut, M., Enomoto, S., and Bogardus, M., 2022, Hawaiian forest bird conservation strategies for minimizing the risk of extinction: biological and biocultural considerations: Hawaii Cooperative Studies Unit Technical Report 103, vi, 119 p.","productDescription":"vi, 119 p.","ipdsId":"IP-137840","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":400224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":398720,"type":{"id":15,"text":"Index Page"},"url":"https://dspace.lib.hawaii.edu/handle/10790/5386"}],"country":"United 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":840587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laut, Megan","contributorId":140110,"corporation":false,"usgs":false,"family":"Laut","given":"Megan","email":"","affiliations":[{"id":13385,"text":"University of Hawaii at Hilo Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":840588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enomoto, Stanton","contributorId":290245,"corporation":false,"usgs":false,"family":"Enomoto","given":"Stanton","email":"","affiliations":[{"id":62387,"text":"U.S. Department of the Interior, Office of Native Hawaiian Relations","active":true,"usgs":false}],"preferred":false,"id":840589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bogardus, Michelle","contributorId":290246,"corporation":false,"usgs":false,"family":"Bogardus","given":"Michelle","email":"","affiliations":[{"id":62388,"text":"U.S. Fish and Wildlife Service Pacific Island Office","active":true,"usgs":false}],"preferred":false,"id":840590,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256715,"text":"70256715 - 2022 - How effective is the Birdsbesafe® cat collar at reducing bird mortality by domestic cats?","interactions":[],"lastModifiedDate":"2024-09-03T15:55:11.222663","indexId":"70256715","displayToPublicDate":"2022-04-14T10:50:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"How effective is the Birdsbesafe® cat collar at reducing bird mortality by domestic cats?","docAbstract":"<p><span>The global decline of songbird populations is a well-recognized conservation issue. Domestic cats kill an estimated 2.4 billion birds each year in the United States alone—more than most other anthropogenic threats combined. As many pet owners are reluctant to keep their cats inside, collar-mounted antipredation devices for domestic cats may be an important conservation tool. We examined the effectiveness of the Birdsbesafe® collar cover (BCC), a sleeve of brightly patterned fabric worn over a typical breakaway collar. The BBC's designers intend for the collar's bright colors to alert potential prey to the cat's presence. By combining data from two studies in New York (2014 and 2019) and one in Florida (2019), all of which used similar methods, we tested the hypothesis that the BCC effectively reduces avian mortality caused by cats of different ages and sexes in different hunting environments. We tested 94 cats over a 12-wk period in New York in 2014 or 8-wk periods in Florida and New York in 2019 during the bird breeding seasons; cats alternated 2-wk periods with and without the collar. Across studies, we recovered 2.7 times fewer birds per cat with the BCC than without (</span><i>P</i><span>&nbsp;= 0.006). The BCC was more effective at a temperate latitude than a subtropical one (</span><i>P =</i><span>&nbsp;0.047). There was no difference in the effectiveness of the BCC for cats of varying ages, sexes, or hunting environments. Our results suggest that the BCC could be one tool within a larger effort to decrease domestic cat predation of songbirds.</span></p>","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-21-055","usgsCitation":"Jensen, M., Willson, S., and Powell, A., 2022, How effective is the Birdsbesafe® cat collar at reducing bird mortality by domestic cats?: Journal of Fish and Wildlife Management, v. 13, no. 1, p. 182-191, https://doi.org/10.3996/JFWM-21-055.","productDescription":"10 p.","startPage":"182","endPage":"191","ipdsId":"IP-128881","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":448109,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-21-055","text":"Publisher Index Page"},{"id":433412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, New York","county":"St. Lawrence 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,{"id":70230423,"text":"sim3488 - 2022 - Potentiometric surface, 2014–15, and water-level differences, 2009 to 2014–15, in the Chicot equivalent aquifer system in southeastern Louisiana","interactions":[],"lastModifiedDate":"2026-04-01T15:18:10.239547","indexId":"sim3488","displayToPublicDate":"2022-04-14T09:50:38","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3488","displayTitle":"Potentiometric Surface, 2014–15, and Water-Level Differences, 2009 to 2014–15, in the Chicot Equivalent Aquifer System in Southeastern Louisiana","title":"Potentiometric surface, 2014–15, and water-level differences, 2009 to 2014–15, in the Chicot equivalent aquifer system in southeastern Louisiana","docAbstract":"<p>The U.S. Geological Survey constructed the potentiometric surface of the Upland terrace and upper Ponchatoula aquifers and the “400-foot” sand using the altitude of water levels from 121 wells measured January 2014 to March 2015. Differences in water levels in the Upland terrace and upper Ponchatoula aquifers and “400-foot” sand were measured at 55 wells in 2009 and again at the same wells in 2014–15. Long-term hydrographs for most wells screened in the Upland terrace aquifer and “400-foot” sand show seasonal fluctuations with little net change in water levels.</p><p>The potentiometric surface of the “600-foot” sand was constructed by using the altitude of water levels from 14 wells measured from January 2014 to March 2015. Differences in water levels between 2009 and 2014–15 were determined in the “600-foot” sand by using measurements collected at seven wells. These differences do not necessarily indicate a trend but show water levels declined by more than 5 feet from 2009 to 2015. Long-term hydrographs for two wells screened in the “600-foot” sand show declines in water levels but vary in their drawdown and recovery based on location relative to areas of substantial groundwater withdrawal.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3488","collaboration":"Prepared in cooperation with the Louisiana Department of Natural Resources","usgsCitation":"Frederick, C.P., 2022, Potentiometric surface, 2014–15, and water-level differences, 2009 to 2014–15, in the Chicot equivalent aquifer system in southeastern Louisiana: U.S. Geological Survey Scientific Investigations Map 3488, 2 sheets, https://doi.org/10.3133/sim3488.","productDescription":"2 Sheets: 38.00 × 36.00 inches; Data Release; Dataset","ipdsId":"IP-060348","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":501932,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112936.htm","linkFileType":{"id":5,"text":"html"}},{"id":398562,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":398549,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3488/sim3488.pdf","text":"Sheets 1 and 2","size":"1.41 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":398561,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","linkHelpText":"Water withdrawals by source and category in Louisiana parishes, 2014–2015"},{"id":398548,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3488/coverthb2.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Chicot Equivalent Aquifer System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.58203125,\n              30.088107753367257\n            ],\n            [\n              -89.681396484375,\n              30.088107753367257\n            ],\n            [\n              -89.681396484375,\n              31.071755902820133\n            ],\n            [\n              -91.58203125,\n              31.071755902820133\n            ],\n            [\n              -91.58203125,\n              30.088107753367257\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a> <br>U.S. Geological Survey <br>640 Grassmere Park, Suite 100 <br>Nashville, TN 37211</p><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Hydrogeology</li><li>Potentiometric Surface of the Upland Terrace and Upper Ponchatoula Aquifers and “400-Foot” Sand of the Baton Rouge Area</li><li>Water-Level Differences of the Upland Terrace and Upper Ponchatoula Aquifers and “400-Foot” Sand of the Baton Rouge Area</li><li>Potentiometric Surface of the “600-Foot” Sand of the Baton Rouge Area</li><li>Water-Level Differences of the “600-Foot” Sand of the Baton Rouge Area</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2022-04-14","noUsgsAuthors":false,"publicationDate":"2022-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Frederick, C. Paul 0000-0003-1762-519X pfreder@usgs.gov","orcid":"https://orcid.org/0000-0003-1762-519X","contributorId":4755,"corporation":false,"usgs":true,"family":"Frederick","given":"C.","email":"pfreder@usgs.gov","middleInitial":"Paul","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":840404,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}