{"pageNumber":"244","pageRowStart":"6075","pageSize":"25","recordCount":184660,"records":[{"id":70248459,"text":"70248459 - 2023 - Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures","interactions":[],"lastModifiedDate":"2023-09-14T14:09:36.134544","indexId":"70248459","displayToPublicDate":"2023-09-01T09:08:45","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures","docAbstract":"The origin of Au-bearing, low sulfide quartz veins in the Pogo and Tibbs Creek regions of interior Alaska remain enigmatic. Intrusion-related Au and mesozonal orogenic vein models have both been proposed (Thompson and Newberry, 2000; Rhys et al., 2003; Goldfarb et al., 2022; Dilworth et al., 2007). To date, studies of igneous geochronology and metamorphic timing have shown that gold veins formed between intervals of magmatism and post-date regional metamorphic fabrics. Relatively little description of detailed mineralogy, vein textures, and absolute timing of mineralization exist – resulting in new questions about the deposit origin.  This study attempts to relate these parameters through investigation of new U-Pb crystallization and Re-Os mineralization ages combined with detailed descriptions of vein textures to constrain the origin of the veins.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SGA 2023: Mineral resources in a changing world","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SGA 2023: Mineral Resources in a Changing World","conferenceDate":"August 29-September 1, 2023","conferenceLocation":"Zürich, Switzerland","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Kreiner, D.C., Thompson, W., Caine, J., Ball, A., Holm-Denoma, C., O’Sullivan, P., and Stein, H.J., 2023, Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures, <i>in</i> Proceedings of SGA 2023: Mineral resources in a changing world, v. 3, Zürich, Switzerland, August 29-September 1, 2023, p. 80-83.","productDescription":"4 p.","startPage":"80","endPage":"83","ipdsId":"IP-150573","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":420790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -139.65067350561475,\n              61.56694937120494\n            ],\n            [\n              -139.05576620713518,\n              63.59626040438653\n            ],\n            [\n              -149.50481315806874,\n              65.5506094851404\n            ],\n            [\n              -149.72901973722165,\n              63.35621506893642\n            ],\n            [\n              -139.65067350561475,\n              61.56694937120494\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":882986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, William","contributorId":329692,"corporation":false,"usgs":false,"family":"Thompson","given":"William","affiliations":[{"id":78688,"text":"Northern Star Resources","active":true,"usgs":false}],"preferred":false,"id":882987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":882988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, Ashleigh","contributorId":329693,"corporation":false,"usgs":false,"family":"Ball","given":"Ashleigh","email":"","affiliations":[{"id":78688,"text":"Northern Star Resources","active":true,"usgs":false}],"preferred":false,"id":882989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":882990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Sullivan, Paul 0000-0002-7247-5107","orcid":"https://orcid.org/0000-0002-7247-5107","contributorId":254377,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","affiliations":[{"id":51089,"text":"Geosep Services","active":true,"usgs":false}],"preferred":false,"id":882991,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stein, Holly J. 0000-0002-9709-7165","orcid":"https://orcid.org/0000-0002-9709-7165","contributorId":210107,"corporation":false,"usgs":false,"family":"Stein","given":"Holly","email":"","middleInitial":"J.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":true,"id":882992,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273387,"text":"70273387 - 2023 - Anaxyrus monfontanus (Hot Creek Toad). Reproduction","interactions":[],"lastModifiedDate":"2026-01-12T14:58:19.133805","indexId":"70273387","displayToPublicDate":"2023-09-01T08:51:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Anaxyrus monfontanus (Hot Creek Toad). Reproduction","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Kleeman, P.M., and Halstead, B., 2023, Anaxyrus monfontanus (Hot Creek Toad). Reproduction: Herpetological Review, v. 54, no. 3, p. 422-423.","productDescription":"2 p.","startPage":"422","endPage":"423","ipdsId":"IP-148849","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498527,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"volume":"54","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":215986,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian","email":"bhalstead@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953533,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70267362,"text":"70267362 - 2023 - Induced seismicity and its impact on existing seismic hazard analysis","interactions":[],"lastModifiedDate":"2025-05-21T13:52:21.335242","indexId":"70267362","displayToPublicDate":"2023-09-01T08:48:53","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":21641,"text":"Technical Letter Report","active":true,"publicationSubtype":{"id":1}},"title":"Induced seismicity and its impact on existing seismic hazard analysis","docAbstract":"We develop a scheme for mapping changes in earthquake rates within a region in near-real-time. A specific goal of the work is to track recent changes in the rates of induced earthquakes in the central and eastern United States. We map rates in a time window of interest, map rates in a preceding time window, and then ratio the two maps to show changes. A proof-of-concept map is first prepared, comparing rates during the first six months of 2010 with rates from the preceding five years; this demonstration map shows, among other things, the growth of induced seismicity in Oklahoma during 2010. We then present a series of ten ratio maps: the first six months of 2018 compared with the preceding five years, and so on in six-month increments through the end of 2022. These maps show changes in the rates and locations of induced earthquakes, as well as other seismicity trends. Map regions, time windows, and other model parameters are easily adaptable for other applications.","language":"English","publisher":"U.S. Nuclear Regulatory Comission","usgsCitation":"Mueller, C., and Shumway, A., 2023, Induced seismicity and its impact on existing seismic hazard analysis: Technical Letter Report, xv, 17 p.","productDescription":"xv, 17 p.","ipdsId":"IP-152895","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":486279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":486278,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.nrc.gov/docs/ML2325/ML23257A188.pdf"}],"noUsgsAuthors":false,"publicationDate":"2023-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":937973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":937974,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70249172,"text":"70249172 - 2023 - Estimating peak-flow quantiles for selected annual exceedance probabilities in Illinois","interactions":[],"lastModifiedDate":"2023-09-29T13:44:46.706816","indexId":"70249172","displayToPublicDate":"2023-09-01T08:44:01","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":17032,"text":"Research Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"FHWA-ICT-23-014","title":"Estimating peak-flow quantiles for selected annual exceedance probabilities in Illinois","docAbstract":"This report presents the methods, results, and applications of an updated flood-frequency study for the State of Illinois. This study, which uses data through September 2017, updates two previous studies that used data through 1999 and 2009, respectively. Flood-frequency estimates are used for a variety of land-use planning and infrastructure design purposes, including for the hydraulic design of bridges. The flood frequencies presented are the stream discharges (or quantiles) that are exceeded each year with a given probability, called the annual exceedance probability (AEP). Estimates are provided for eight AEPs: 0.5, 0.2, 0.1, 0.04, 0.02, 0.01, 0.005, and 0.002. The basic data used are the annual maximum discharges (peak flows) at streamgages in and near Illinois and the measurable physical properties (basin characteristics) of the basins upstream from those streamgages. The logarithms of the peak flow records at qualifying streamgages were fit to the Pearson Type 3 distribution using federally recommended methods, providing one of the two primary products of the study, which is the set of peak-flow quantiles at the streamgages and their uncertainties. The other primary product is sets of equations, determined by least-squares regression, that relate the peak-flow quantiles and the basin characteristics. There is one set of equations for each of Illinois’ seven hydrologic regions, and, for each region, one equation for each AEP. These regional equations allow the estimation of peak-flow quantiles at ungaged locations throughout the state and their uncertainties. A set of illustrative example applications is provided, and tables of all results at all study streamgages and regions are provided in associated data releases. The study results are also being made available in a web application, StreamStats.","language":"English","publisher":"Illinois Center for Transportation","doi":"10.36501/0197-9191/23-019","usgsCitation":"Over, T.M., Marti, M.K., O’Shea, P.S., and Sharpe, J.B., 2023, Estimating peak-flow quantiles for selected annual exceedance probabilities in Illinois: Research Report FHWA-ICT-23-014, viii, 72 p., https://doi.org/10.36501/0197-9191/23-019.","productDescription":"viii, 72 p.","ipdsId":"IP-149686","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":488180,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.36501/0197-9191/23-019","text":"Publisher Index Page"},{"id":435200,"rank":0,"type":{"id":30,"text":"Data 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,{"id":70252959,"text":"70252959 - 2023 - Interstate 15 wildlife crossing design considerations for focal wildlife species - Santa Ana-Palomar Mountains Linkage southern California","interactions":[],"lastModifiedDate":"2024-04-12T13:52:55.734858","indexId":"70252959","displayToPublicDate":"2023-09-01T08:38:51","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Interstate 15 wildlife crossing design considerations for focal wildlife species - Santa Ana-Palomar Mountains Linkage southern California","docAbstract":"<p>The Nature Conservancy (TNC) and the California Department of Transportation (Caltrans), along with landowners including San Diego State University, California Department of Fish and Wildlife, Western Riverside Regional Conservation Authority and Riverside County Flood Control District are developing wildlife crossing infrastructure projects along a 3-mile stretch of Interstate 15 (I-15) in the Santa Ana-Palomar Mountains Linkage (hereafter ‘Linkage’) in southern California. These crossings will provide a critical missing link that will help reconnect wildlife in the coastal Santa Ana Mountains west of I-15 with those in the interior Palomar and Eastern Peninsular ranges to the east of I-15. The Linkage supports intact and diverse habitats including coastal sage scrub, grasslands, chaparral, and oak and riparian woodlands, and has been a focus of regional conservation efforts for the last 30 years. </p><p>The three wildlife crossing infrastructure projects include enhancement of the existing Temecula Creek I-15 Bridge, construction of a new vegetated wildlife overcrossing, and construction of a new stand-alone wildlife culvert. </p><p>Given the challenges and level of financial investment required to secure wildlife crossings for I-15 in the Linkage, TNC and Caltrans proposed that planning efforts would benefit from input by taxonomic experts on design concepts that meet the needs of the broadest range of wildlife. While wildlife crossings are becoming more common, optimal designs that meet the needs of a variety of wildlife species are largely unknown and can be site specific. To address this challenge, we held a workshop in February 2022 that brought together over 50 wildlife experts to brainstorm and identify specific design considerations for various focal wildlife species groups (medium/large mammals, small animals, birds, bats, plants, and invertebrates) that might use the identified I-15 wildlife crossings (The Nature Conservancy 2022). </p><p>Lead experts for each focal species group worked together to identify specific wildlife crossing features or attributes for each of the three proposed wildlife crossings. </p><p>Specific attributes evaluated by experts for each crossing type and species group included, at a minimum: </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">• Crossing Structure Attributes; </p><p style=\"padding-left: 80px;\" data-mce-style=\"padding-left: 80px;\">o Habitat features? (cover, habitat structure, substrate, moisture, light and noise mitigation) </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">• Crossing Approach Area Features; </p><p style=\"padding-left: 80px;\" data-mce-style=\"padding-left: 80px;\">o Habitat features (cover type/density, substrate, water, light and noise mitigation) </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">• Barrier design to reduce roadkill and/or to funnel wildlife to the crossing; </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">• Additional research to resolve uncertainties related to crossing design </p><p>Based on the design considerations for each potential crossing type, the experts then weighed in on the suitability of the existing location and probability of use by their focal species or groups of species. With proposed design features, Temecula Creek Bridge has moderate or high probability of use by 27 of the 36 focal wildlife species assessed, while the vegetated overcrossing could meet the needs of 26 of the 36 species. When combined, Temecula Creek Bridge and the vegetated overcrossing have a moderate or high probability of use for 34 of the 36 species. The wildlife culvert has a moderate or high level of expected use by 10 of the 36 focal species and could serve connectivity needs for representative species from all but the bird and plant species groups.</p>","language":"English","publisher":"The Nature Conservancy","usgsCitation":"Smith, T., Brehme, C.S., Carpenter, J., Frost, N.A., Jennings, M., Kus, B., Quinnell, S., Straham, S., and Vickers, T.W., 2023, Interstate 15 wildlife crossing design considerations for focal wildlife species - Santa Ana-Palomar Mountains Linkage southern California, iv, 46 p.","productDescription":"iv, 46 p.","ipdsId":"IP-156534","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":427729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":427723,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.scienceforconservation.org/products/interstate-15-wildlife-crossing-design"}],"country":"United States","state":"California","otherGeospatial":"Santa Ana-Palomar Mountains Linkage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.96277940038678,\n              33.17061852067067\n            ],\n            [\n              -116.96277940038678,\n              33.583670223835924\n            ],\n            [\n              -117.44162796500501,\n              33.583670223835924\n            ],\n            [\n              -117.44162796500501,\n              33.17061852067067\n            ],\n            [\n              -116.96277940038678,\n              33.17061852067067\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Trish","contributorId":335587,"corporation":false,"usgs":false,"family":"Smith","given":"Trish","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":898763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":898764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carpenter, Jill","contributorId":335588,"corporation":false,"usgs":false,"family":"Carpenter","given":"Jill","email":"","affiliations":[{"id":80443,"text":"LSA Associates","active":true,"usgs":false}],"preferred":false,"id":898765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frost, Nancy A.","contributorId":200382,"corporation":false,"usgs":false,"family":"Frost","given":"Nancy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":898766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jennings, Megan","contributorId":298254,"corporation":false,"usgs":false,"family":"Jennings","given":"Megan","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":898767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":898768,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Quinnell, Scott","contributorId":335593,"corporation":false,"usgs":false,"family":"Quinnell","given":"Scott","email":"","affiliations":[],"preferred":false,"id":898780,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Straham, Spring","contributorId":335589,"corporation":false,"usgs":false,"family":"Straham","given":"Spring","email":"","affiliations":[{"id":80444,"text":"Wildspring Ecology","active":true,"usgs":false}],"preferred":false,"id":898769,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vickers, T. 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,{"id":70248041,"text":"70248041 - 2023 - The consequences of neglecting reservoir storage in national-scale hydrologic models: An appraisal of key streamflow statistics","interactions":[],"lastModifiedDate":"2024-02-26T15:39:42.549578","indexId":"70248041","displayToPublicDate":"2023-09-01T08:12:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"The consequences of neglecting reservoir storage in national-scale hydrologic models: An appraisal of key streamflow statistics","docAbstract":"<p><span>A better understanding of modeled streamflow errors related to basin reservoir storage is needed for large regions, which normally have many ungaged basins with reservoirs. We quantified the difference between modeled and observed streamflows for one process-based and three statistical-transfer hydrologic models, none of which explicitly accounted for reservoir storage. Streamflow statistics representing low to high flows, seasonality, annual variability, and daily autocorrelation were examined at 1082 study basins across the conterminous USA. All models increasingly overpredict (or decreasingly underpredict) observed annual maximum flows with increasing storage. Correlations between absolute values of errors for low-flow statistics and storage are often larger in magnitude than those for signed errors—additional storage is associated with increases in model errors in both directions even when its overall effect in one direction is weak. The rate of increase in absolute values of model errors was nonlinear for most statistics. For low flows, model errors had a change point to larger errors at 48 days of reservoir storage (relative to long-term mean daily flow); mean and high flows had change points at 147 to 176 days. We present predicted-to-observed errors for nine streamflow statistics over a large range of reservoir storage to help modelers and users of modeled streamflow understand the amount of storage for which explicit reservoir modeling is needed.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13161","usgsCitation":"Hodgkins, G.A., Over, T.M., Dudley, R., Russell, A.M., and LaFontaine, J.H., 2023, The consequences of neglecting reservoir storage in national-scale hydrologic models: An appraisal of key streamflow statistics: Journal of the American Water Resources Association, v. 60, no. 1, p. 110-131, https://doi.org/10.1111/1752-1688.13161.","productDescription":"22 p.","startPage":"110","endPage":"131","ipdsId":"IP-122614","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science 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States\"}}]}","volume":"60","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Over, Thomas M. 0000-0001-8280-4368","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":204650,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dudley, Robert W. 0000-0002-0934-0568","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":220211,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Russell, Amy M. 0000-0003-0582-0094 arussell@usgs.gov","orcid":"https://orcid.org/0000-0003-0582-0094","contributorId":200011,"corporation":false,"usgs":true,"family":"Russell","given":"Amy","email":"arussell@usgs.gov","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881602,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70259736,"text":"70259736 - 2023 - Pre-eruptive outgassing and pressurization, and post-fragmentation bubble nucleation, recorded by vesicles in breadcrust bombs from vulcanian activity at Guagua Pichincha Volcano, Ecuador","interactions":[],"lastModifiedDate":"2024-10-22T12:23:03.054841","indexId":"70259736","displayToPublicDate":"2023-09-01T07:21:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7514,"text":"Journal of Geophysical Research - Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Pre-eruptive outgassing and pressurization, and post-fragmentation bubble nucleation, recorded by vesicles in breadcrust bombs from vulcanian activity at Guagua Pichincha Volcano, Ecuador","docAbstract":"<div class=\"article-section__content en main\"><p>Breadcrust bombs formed during Vulcanian eruptions are assumed to originate from the shallow plug or dome. Their rim to core texture reflects the competition between cooling and degassing timescales, which results in a dense crust with isolated vesicles contrasting with a highly vesicular vesicle network in the interior. Due to relatively fast quenching, the crust can shed light on pre- and syn-eruptive conditions prior to or during fragmentation, whereas the interior allows us to explore post-fragmentation vesiculation. Investigation of pre- to post-fragmentation processes in breadcrust bombs from the 1999 Vulcanian activity at Guagua Pichincha, Ecuador, via 2D and 3D textural analysis reveals a complex vesiculation history, with multiple, spatially localized nucleation and growth events. Large vesicles (Type 1), present in low number density in the crust, are interpreted as pre-eruptive bubbles formed by outgassing and collapse of a permeable bubble network during ascent or stalling in the plug. Haloes of small, syn-fragmentation vesicles (Type 2), distributed about large vesicles, are formed by pressurization and enrichment of volatiles in these haloes. The nature of the pressurization process in the plug is discussed in light of seismicity and ground deformation signals, and previous textural and chemical studies. A third population (Type 3) of post-fragmentation small vesicles appears in the interior of the bomb, and growth and coalescence of Type 2 and 3 vesicles causes the transition from isolated to interconnected bubble network in the interior. We model the evolution of viscosity, bubble growth rate, diffusion timescales, bubble radius and porosity during fragmentation and cooling. These models reveal that thermal quenching dominates in the crust whereas the interior undergoes a viscosity quench caused by degassing, and that the transition from crust to interior corresponds to the onset of percolation and development of permeability in the bubble network.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JB026775","usgsCitation":"Colombier, M., Manga, M., Wright, H.M., Bernard, B., deGraffenried, R., Caceres, F., Samaniego, P., Vasseur, J., Jakata, K., Cook, P., and Dingwell, D.B., 2023, Pre-eruptive outgassing and pressurization, and post-fragmentation bubble nucleation, recorded by vesicles in breadcrust bombs from vulcanian activity at Guagua Pichincha Volcano, Ecuador: Journal of Geophysical Research - Solid Earth, v. 128, no. 9, e2023JB026775, 16 p., https://doi.org/10.1029/2023JB026775.","productDescription":"e2023JB026775, 16 p.","ipdsId":"IP-154811","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467095,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jb026775","text":"Publisher Index Page"},{"id":463091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","otherGeospatial":"Guagua Pichincha Volcano","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-80.30256,-3.40486],[-79.77029,-2.65751],[-79.98656,-2.22079],[-80.36878,-2.68516],[-80.96777,-2.24694],[-80.76481,-1.96505],[-80.93366,-1.05745],[-80.58337,-0.90666],[-80.39932,-0.2837],[-80.0209,0.36034],[-80.09061,0.76843],[-79.54276,0.98294],[-78.85526,1.38092],[-77.85506,0.80993],[-77.66861,0.82589],[-77.42498,0.39569],[-76.57638,0.25694],[-76.29231,0.41605],[-75.80147,0.0848],[-75.37322,-0.15203],[-75.23372,-0.91142],[-75.545,-1.56161],[-76.63539,-2.60868],[-77.8379,-3.00302],[-78.45068,-3.8731],[-78.6399,-4.54778],[-79.20529,-4.95913],[-79.62498,-4.4542],[-80.02891,-4.34609],[-80.44224,-4.42572],[-80.46929,-4.05929],[-80.18401,-3.82116],[-80.30256,-3.40486]]]},\"properties\":{\"name\":\"Ecuador\"}}]}","volume":"128","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Colombier, Mathieu","contributorId":328620,"corporation":false,"usgs":false,"family":"Colombier","given":"Mathieu","email":"","affiliations":[{"id":78422,"text":"LMU Munich","active":true,"usgs":false}],"preferred":false,"id":916517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manga, Michael 0000-0003-3286-4682","orcid":"https://orcid.org/0000-0003-3286-4682","contributorId":265640,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":916518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Heather M. 0000-0001-9013-507X hwright@usgs.gov","orcid":"https://orcid.org/0000-0001-9013-507X","contributorId":3949,"corporation":false,"usgs":true,"family":"Wright","given":"Heather","email":"hwright@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernard, Benjamin","contributorId":178529,"corporation":false,"usgs":false,"family":"Bernard","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":916520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"deGraffenried, Rebecca","contributorId":267918,"corporation":false,"usgs":false,"family":"deGraffenried","given":"Rebecca","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":916521,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caceres, Francisco","contributorId":328621,"corporation":false,"usgs":false,"family":"Caceres","given":"Francisco","email":"","affiliations":[{"id":78422,"text":"LMU Munich","active":true,"usgs":false}],"preferred":false,"id":916522,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Samaniego, Pablo","contributorId":205724,"corporation":false,"usgs":false,"family":"Samaniego","given":"Pablo","email":"","affiliations":[{"id":37157,"text":"Université Clermont Auvergne, CNRS, IRD, OPGC, Laboratoire Magmas et Volcans, F-63000 Clermont-Ferrand, France","active":true,"usgs":false}],"preferred":false,"id":916523,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vasseur, Jeremie","contributorId":315405,"corporation":false,"usgs":false,"family":"Vasseur","given":"Jeremie","email":"","affiliations":[{"id":36958,"text":"LMU Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":916524,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jakata, K","contributorId":345424,"corporation":false,"usgs":false,"family":"Jakata","given":"K","email":"","affiliations":[{"id":82577,"text":"ESRF - The European Synchrotron","active":true,"usgs":false}],"preferred":false,"id":916525,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cook, Paul","contributorId":175585,"corporation":false,"usgs":false,"family":"Cook","given":"Paul","affiliations":[],"preferred":false,"id":916526,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dingwell, Donald B.","contributorId":201841,"corporation":false,"usgs":false,"family":"Dingwell","given":"Donald","email":"","middleInitial":"B.","affiliations":[{"id":36273,"text":"Ludwig-Maximilians-Universität (LMU) München","active":true,"usgs":false}],"preferred":false,"id":916527,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70258203,"text":"70258203 - 2023 - Timing of reproduction underlies fitness tradeoffs for a salmonid fish","interactions":[],"lastModifiedDate":"2024-09-09T12:17:41.043338","indexId":"70258203","displayToPublicDate":"2023-09-01T07:14:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Timing of reproduction underlies fitness tradeoffs for a salmonid fish","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Life history diversity is generated and maintained in part by density-dependent fitness tradeoffs that inhibit a single trait value from reaching fixation. While central to our understanding of evolution, demonstrating density dependence in the strength of fitness tradeoffs is difficult in natural systems. The timing of reproduction is a key life history trait that determines access to breeding habitat and exposure of offspring to competitive interactions and environmental conditions. Understanding the processes underlying diversity in reproductive timing will aid efforts to increase adaptive capacity under global environmental change. Here, we used detailed field studies, genetic parentage assignment, and simulation modeling to evaluate the fitness tradeoffs associated with the timing of reproduction for Yellowstone cutthroat trout<span>&nbsp;</span><i>Oncorhynchus clarkii bouvieri</i><span>&nbsp;</span>in groundwater-dominated tributaries to the upper Snake River, Wyoming, USA. We conducted our study across two years to understand how the strength of tradeoffs changes with population density. We found that early breeders experienced reduced reproductive success relative to later breeders due to the negative impact of nest superimposition (where later breeders construct nests overlapping those constructed previously) on embryo survival. However, as the risk of superimposition declined in the low-density year and early breeders experienced fewer losses, reproductive success became more similar among individuals breeding at different times. Further, in the spring following the critical period for growth and survival, offspring of early breeders had experienced longer growing seasons, attained larger body sizes, and were equally abundant relative to those of later breeders, suggesting that fitness losses due to superimposition may be offset by size-dependent competitive ability and overwinter survival. Our results illustrate a mechanism underlying diversity in the timing of reproduction for salmonids. This type of life history diversity will help to ensure the resilience and stability of salmonid populations attempting to adapt to changing local stressors associated with global climate change.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/oik.10184","usgsCitation":"Baldock, J., Al-Chokhachy, R., Campbell, M., and Walters, A.W., 2023, Timing of reproduction underlies fitness tradeoffs for a salmonid fish: Oikos, v. 2023, no. 11, e10184, https://doi.org/10.1111/oik.10184.","productDescription":"e10184","ipdsId":"IP-152650","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":442252,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/7839081","text":"External Repository"},{"id":433604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2023","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baldock, Jeffrey R","contributorId":243644,"corporation":false,"usgs":false,"family":"Baldock","given":"Jeffrey R","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":912571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":211560,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":912572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Matthew R.","contributorId":338262,"corporation":false,"usgs":false,"family":"Campbell","given":"Matthew R.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":912573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":912574,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70250032,"text":"70250032 - 2023 - Forest bird populations at the Pu‘u Wa‘a Wa‘a Forest Bird Sanctuary and Pu‘u Wa‘a Wa‘a Forest Reserve, Hawai‘i","interactions":[],"lastModifiedDate":"2023-11-14T13:11:06.24616","indexId":"70250032","displayToPublicDate":"2023-09-01T07:06:09","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Forest bird populations at the Pu‘u Wa‘a Wa‘a Forest Bird Sanctuary and Pu‘u Wa‘a Wa‘a Forest Reserve, Hawai‘i","docAbstract":"Endemic Hawaiian forest birds have exhibited dramatic population declines since human colonization of Hawai‘i. The Pu‘u Wa‘awa‘a Forest Bird Sanctuary and adjacent Pu‘u Wa‘awa‘a Forest Reserve on Hawai‘i Island were established in 2002 to conserve endemic forest birds and their habitats. Surveys have been conducted in this area to monitor forest bird populations and their response to management actions since 1979. We analyzed point-transect distance sampling survey data collected between 1990 and 2022 in the Pu‘u Wa‘awa‘a Forest Bird Sanctuary and forested portions of the adjacent forest reserve. There were 20 passerine or psittacine species detected of which 6 were native species and 14 were non-native species. In all years, Hawai‘i ‘amakihi (Chlorodrepanis virens virens), ‘apapane (Himatione sanguinea), and warbling white-eye (Zosterops japonicus) were the most abundant species, and in most years ‘i‘iwi (Drepanis coccinea) was the fourth most abundant species. ‘I‘iwi and Hawai‘i ‘amakihi had stable long-term (1990–2022) population trends, and trends for ‘apapane were inconclusive, while warbling white-eye had upward trends. In recent years (2016–2022), ‘apapane had downward trends, ‘i‘iwi and warbling white-eye had upward trends, and trends for ‘amakihi were inconclusive. Populations of Hawai‘i ‘elepaio (Chasiempis sandwichensis) and the endangered Hawai‘i ‘ākepa (Loxops coccineus) and ‘alawī (Loxops mana) were either locally extirpated or in numbers too low to reliably estimate population densities and trends. The Pu‘u Wa‘awa‘a Forest Bird Sanctuary and adjacent Pu‘u Wa‘awa‘a Forest Reserve are important for the conservation of forest birds on Hawai‘i Island as one of few areas of mesic to dry forests being specifically managed for forest bird conservation. Conservation efforts at the Pu‘u Wa‘awa‘a Forest Bird Sanctuary and Pu‘u Wa‘awa‘a Forest Reserve would benefit from continued annual surveys and regular monitoring, and timely analysis of survey data to track responses in forest bird populations to evaluate and adapt management actions.","language":"English","publisher":"University of Hawai‘i at Hilo","usgsCitation":"Kendall, S., Camp, R.J., Wang, A.X., Berry, L., and Nietmann, L., 2023, Forest bird populations at the Pu‘u Wa‘a Wa‘a Forest Bird Sanctuary and Pu‘u Wa‘a Wa‘a Forest Reserve, Hawai‘i, iv, 53 p.","productDescription":"iv, 53 p.","ipdsId":"IP-153546","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":422573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":422562,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"http://hdl.handle.net/10790/5390"}],"country":"United States","state":"Hawaii","otherGeospatial":"Pu‘u Wa‘a Wa‘a Forest Bird Sanctuary, Pu‘u Wa‘a Wa‘a Forest Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.09720078388787,\n              20.0187085730997\n            ],\n            [\n              -156.09720078388787,\n              19.54574773888592\n            ],\n            [\n              -155.49020615498162,\n              19.54574773888592\n            ],\n            [\n              -155.49020615498162,\n              20.0187085730997\n            ],\n            [\n              -156.09720078388787,\n              20.0187085730997\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kendall, Steve","contributorId":213517,"corporation":false,"usgs":false,"family":"Kendall","given":"Steve","affiliations":[],"preferred":false,"id":888052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":888053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Alex X","contributorId":253153,"corporation":false,"usgs":false,"family":"Wang","given":"Alex","email":"","middleInitial":"X","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":888054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, Lainie","contributorId":272646,"corporation":false,"usgs":false,"family":"Berry","given":"Lainie","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":888055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nietmann, Lindsey","contributorId":331548,"corporation":false,"usgs":false,"family":"Nietmann","given":"Lindsey","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":888056,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70249818,"text":"70249818 - 2023 - Survival and growth of juvenile mussels in an outdoor pond after 28-day laboratory exposure to aqueous zinc","interactions":[],"lastModifiedDate":"2023-11-07T16:23:10.364015","indexId":"70249818","displayToPublicDate":"2023-09-01T06:49:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Survival and growth of juvenile mussels in an outdoor pond after 28-day laboratory exposure to aqueous zinc","docAbstract":"<p><span>The extent to which effects seen in chronic toxicity studies in the laboratory affect mussel fitness later in life is poorly known. We examined juvenile Fatmucket (</span><i>Lampsilis siliquoidea</i><span>) survival and growth for 56 d following exposure to Zn in a laboratory bioassay. We conducted a 28-d chronic toxicity bioassay with 6-wk-old juvenile mussels exposed to a control and two Zn treatments (120 and 240 µg/L). We then transferred surviving mussels into a grow-out pond and monitored their survival and growth for 56 d. Survival and shell length were lower in both Zn treatments than in the control after the 28-d toxicity bioassay. After the 56-d grow-out period, survival did not differ among treatments, but shell length was lower in the 240-µg/L treatment than in the control and mass was lower in both Zn treatments than in the control. Mussel length was lower throughout the experiment in both Zn treatments than in the control, but there was weak support for a difference in the slopes, suggesting that Zn-exposed mussels may fall farther behind in size over time. Persistence of reduced size following Zn exposure could result in delayed sexual maturation and lowered fecundity, which could have long-term population-level effects.</span></p>","language":"English","publisher":"Freshwater Mollusk Conservation Society","doi":"10.31931/fmbc-d-23-00004","usgsCitation":"Steevens, J., Kunz, J.L., Wang, N., Barnhart, C.M., and Ciparis, S., 2023, Survival and growth of juvenile mussels in an outdoor pond after 28-day laboratory exposure to aqueous zinc: Freshwater Mollusk Biology and Conservation, v. 26, no. 2, p. 45-53, https://doi.org/10.31931/fmbc-d-23-00004.","productDescription":"9 p.","startPage":"45","endPage":"53","ipdsId":"IP-149562","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":442254,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.31931/fmbc-d-23-00004","text":"Publisher Index Page"},{"id":435201,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96RI2Z4","text":"USGS data release","linkHelpText":"Survival and growth of the freshwater mussel Lampsilis siliquoidea during a 28-day chronic zinc exposure and subsequent grow-out period"},{"id":422284,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":65415,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":887209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":887210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":887211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, Christopher M.","contributorId":331084,"corporation":false,"usgs":false,"family":"Barnhart","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":16806,"text":"Missouri State University","active":true,"usgs":false}],"preferred":false,"id":887212,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ciparis, Serena","contributorId":279464,"corporation":false,"usgs":false,"family":"Ciparis","given":"Serena","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":887213,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70262388,"text":"70262388 - 2023 - Landowner and biologist perceptions of game bird predators and management","interactions":[],"lastModifiedDate":"2025-01-17T15:55:47.287752","indexId":"70262388","displayToPublicDate":"2023-09-01T00:00:00","publicationYear":"2023","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":"Landowner and biologist perceptions of game bird predators and management","docAbstract":"<p><span>Nest survival has been identified as one of the most influential vital rates causing population change in game birds, and depredation, often influenced by habitat loss and fragmentation, is the primary cause of nest failure of upland game birds. We were interested in quantifying and comparing the perspectives of landowners and biologists in South Dakota regarding complex predator-prey interactions to improve communication and management efficacy. We developed a questionnaire regarding the following: 1) general attitude statements about game bird species; 2) perceived impacts of 9 factors (e.g., development, pollution, predators) and 13 potential predators on game bird abundances; and 3) attitude statements regarding use of lethal predator control and nesting habitat management practices. A cluster analysis using landowner attitude statements about predator management identified 3 landowner segments that had strong (most supportive; 37%), moderate (moderately supportive; 35%), or weak (least supportive; 28%) attitude statements about lethal predator control. Landowner segments most supportive and moderately supportive of predator control rated predators as the primary negative factor impacting game bird abundances and agreed that predators were the primary cause of game bird abundance declines, whereas the landowner segment least supportive of predator control rated habitat loss as the top factor and disagreed that predators were the primary cause of game bird declines. Biologists rated habitat loss as the top factor negatively impacting game bird abundances and disagreed that predators were the primary cause of game bird abundance declines. Thus, when considering the effectiveness of strategies to reduce nest depredation, most landowners focused on the direct cause of nest failures (predators), whereas biologists focused on an indirect cause (habitat loss). Perception differences among these groups emphasizes the need for better communication on proximate and ultimate factors affecting game bird populations and how these differences may impact management decisions.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1443","usgsCitation":"Fina, S., Gigliotti, L.M., Pearse, A., and Stafford, J.D., 2023, Landowner and biologist perceptions of game bird predators and management: Wildlife Society Bulletin, v. 47, no. 3, e1443, 15 p., https://doi.org/10.1002/wsb.1443.","productDescription":"e1443, 15 p.","ipdsId":"IP-129641","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1443","text":"Publisher Index Page"},{"id":480738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","county":"Faulk County, Hand County","otherGeospatial":"north-central South Dakota","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.7249,45.2459],[-98.7184,45.2449],[-98.7209,45.1024],[-98.7186,44.8965],[-98.707,44.8959],[-98.7069,44.6348],[-98.7066,44.5481],[-98.7034,44.5481],[-98.6994,44.4354],[-98.7012,44.1979],[-98.8077,44.1979],[-98.8211,44.1986],[-98.9257,44.1976],[-98.9448,44.1982],[-99.0417,44.1971],[-99.0627,44.1982],[-99.1654,44.1974],[-99.1833,44.1967],[-99.2866,44.1959],[-99.2987,44.1964],[-99.2992,44.2397],[-99.302,44.5498],[-99.3123,44.5499],[-99.3132,44.8976],[-99.3287,44.8986],[-99.5728,44.8983],[-99.5743,45.0722],[-99.5719,45.1019],[-99.5751,45.2458],[-99.4735,45.2464],[-99.4515,45.2453],[-99.3414,45.2462],[-99.2177,45.2465],[-99.2054,45.2454],[-98.7249,45.2459]]]},\"properties\":{\"name\":\"Faulk\",\"state\":\"SD\"}}]}","volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Fina, Samantha R.","contributorId":349107,"corporation":false,"usgs":false,"family":"Fina","given":"Samantha R.","affiliations":[{"id":5088,"text":"SDSU","active":true,"usgs":false}],"preferred":false,"id":924014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Aaron T.","contributorId":349108,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":924016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stafford, Joshua D. 0000-0001-7590-8708 jstafford@usgs.gov","orcid":"https://orcid.org/0000-0001-7590-8708","contributorId":267260,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924013,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266264,"text":"70266264 - 2023 - Virtual snow stakes: a new method for snow depth measurement at remote camera stations","interactions":[],"lastModifiedDate":"2025-05-02T17:04:34.764345","indexId":"70266264","displayToPublicDate":"2023-09-01T00:00:00","publicationYear":"2023","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":"Virtual snow stakes: a new method for snow depth measurement at remote camera stations","docAbstract":"<p><span>Remote cameras are used to study demographics, ecological processes, and behavior of wildlife populations. Cameras have also been used to measure snow depth with physical snow stakes. However, concerns that physical instruments at camera sites may influence animal behavior limit installation of instruments to facilitate collecting such data. Given that snow depth data are inherently contained within images, potential insights that could be made using these data are lost. To facilitate camera-based snow depth observations without additional equipment installation, we developed a method implemented in an R package called edger to superimpose virtual measurement devices onto images. The virtual snow stakes can be used to derive snow depth measurements. We validated the method for snow depth estimation using camera data from Latah County, Idaho, USA in winter 2020–2021. Mean bias error between the virtual snow stake and a physical snow stake was 5.8 cm; the mean absolute bias error was 8.8 cm. The mean Nash Sutcliffe Efficiency score comparing the fit of the 2 sets of measurements within each camera was 0.748, indicating good agreement. The edger package provides researchers with a means to take critical measurements for ecological studies without the use of physical objects that could alter animal behavior, and snow data at finer scales can complement other snow data sources that have coarser spatial and temporal resolution.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1481","usgsCitation":"Strickfaden, K., Behan, M., Marshall, A., Svancara, L., Ausband, D.E., and Link, T., 2023, Virtual snow stakes: a new method for snow depth measurement at remote camera stations: Wildlife Society Bulletin, v. 47, no. 3, e1481, 13 p., https://doi.org/10.1002/wsb.1481.","productDescription":"e1481, 13 p.","ipdsId":"IP-132219","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487939,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1481","text":"Publisher Index Page"},{"id":485350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","county":"Latah County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.03577715081944,\n              46.809898641251436\n            ],\n            [\n              -117.03577715081944,\n              46.61258277725639\n            ],\n            [\n              -116.67664523501801,\n              46.61258277725639\n            ],\n            [\n              -116.67664523501801,\n              46.809898641251436\n            ],\n            [\n              -117.03577715081944,\n              46.809898641251436\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Strickfaden, Kaitlyn M.","contributorId":354266,"corporation":false,"usgs":false,"family":"Strickfaden","given":"Kaitlyn M.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Behan, Marnie L.","contributorId":354432,"corporation":false,"usgs":false,"family":"Behan","given":"Marnie L.","affiliations":[{"id":342,"text":"Idaho Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":935644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Adrienne M.","contributorId":354267,"corporation":false,"usgs":false,"family":"Marshall","given":"Adrienne M.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":935331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svancara, Leona K.","contributorId":354268,"corporation":false,"usgs":false,"family":"Svancara","given":"Leona K.","affiliations":[{"id":62300,"text":"Idaho Fish and Game","active":true,"usgs":false}],"preferred":false,"id":935332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Link, Timothy E.","contributorId":354269,"corporation":false,"usgs":false,"family":"Link","given":"Timothy E.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935334,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70247995,"text":"sir20235047 - 2023 - Compound flood model for the lower Nooksack River and delta, western Washington—Assessment of vulnerability and nature-based adaptation opportunities to mitigate higher sea level and stream flooding","interactions":[],"lastModifiedDate":"2026-03-09T16:02:11.243737","indexId":"sir20235047","displayToPublicDate":"2023-08-31T12:53:36","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5047","displayTitle":"Compound Flood Model for the Lower Nooksack River and Delta, Western Washington—Assessment of Vulnerability and Nature-Based Adaptation Opportunities to Mitigate Higher Sea Level and Stream Flooding","title":"Compound flood model for the lower Nooksack River and delta, western Washington—Assessment of vulnerability and nature-based adaptation opportunities to mitigate higher sea level and stream flooding","docAbstract":"<p>Higher sea level and stream runoff associated with climate change is expected to lead to greater lowland flooding across the Pacific Northwest. Increases in stream runoff that range from 20 to 32 percent by the 2040s and from 52 to 72 percent by the 2080s is expected to steadily increase flood risk. Flood risk is also expected to increase in response to the landward shift in high tides and storm surge, which will retard downstream conveyance. The combination of higher stream runoff, which is expected to drive greater fluvial sediment delivery to the coast, and more frequent, higher coastal waters relative to present-day (2023) levels, which will retard streamflow, is projected to cause more sedimentation across coastal and estuarine systems, exacerbating the flood risk. In the Nooksack River delta of western Washington, as in many Puget Sound deltas, resilient adaptation planning to mitigate impacts to community assets and infrastructure, nationally essential agricultural areas, and valued habitats and restoration investments that support endangered and threatened salmon recovery are underway but are in need of more informed projections of compound flood hazards.</p><p>A Delft3D Flexible Mesh hydrodynamic model was constructed and used to assess changes in the extent, frequency, and timing of flood exposure associated with higher sea level and stream runoff projected to occur in the 2040s and 2080s. The model was also used to evaluate the change in and potential mitigating effects to flood exposure associated with individual and cumulative salmon-habitat-restoration strategies. Model simulations also evaluated the sensitivity of sedimentation to the individual and cumulative effects of higher fluvial delivery, trapping by sea-level rise, and changes in hydrodynamics associated with the rerouting of flows by proposed restoration strategies. The model performed well, having mean absolute errors for water levels below 1 foot (0.3 meters) when tested during a 2-year period for two recent flood events of record, the February 2, 2020, “Super Bowl flood” and the January 8, 2009, stream flood, both of which caused substantial flooding and damage across the study area. Fluvial discharge was found to dominate flood hazard at higher elevations in the study area, whereas near the coast, sea-level rise is computed to turn a less extreme 2-year (50 percent annual exceedance probability [AEP]) bankfull streamflow, which, at present (2023), causes nuisance flooding, into a more extreme 5-year (20 percent AEP) and 10 percent AEP stream-flood event by the 2050s and 2100, respectively.</p><p>The February 2020 Super Bowl flood was calculated to be a 10-year or 10 percent AEP peak-flow event, and the January 2009 flood was calculated to be a 25-year (4 percent AEP) peak-flow event. Extreme events such as the February 2020 Super Bowl flood and the January 2009 flood caused extensive damage across the Nooksack River floodplain, and model computations predict these magnitudes of events would have notably greater effect in the 2040s and 2080s in response to higher projected sea level and stream runoff. The modeled January 2009 flood is predicted to transform into a flood event, causing flood exposure that is comparable to the 100-year or 1 percent AEP flood by the 2040s. The modeled January 2009 flood is also predicted to exceed the flood exposure of the recent November 16, 2021, flood, which caused substantial damage in the lower Nooksack River floodplain and restricted access for emergency-management efforts on important arterial roadways in the area; the measured peak discharge during the November 16, 2021, flood exceeded that of the January 2009 flood.</p><p>Two of several identified alternative strategies that reroute floodwaters to restore salmon habitat were projected to reduce exposure to the increasingly impactful 10 and 4 percent AEP stream-flood events through the 2080s. The effects of the suggested alternatives, however, were found to reduce flow velocities, promote additional sedimentation, and reduce flow conveyance in the main-stem Nooksack River, a concern to flood-management efforts, navigation, and fishing. The model also suggests that main-stem channel sedimentation is likely, given projected climate change. Higher stream runoff that increases fluvial-sediment delivery and higher sea levels that retard downstream flow are expected to lead to greater sedimentation. Lastly, the model was used to assess the sensitivity of flood exposure to the individual and cumulative effects of climate changes, alternative strategies, and sedimentation, including recently observed decadal-scale aggradation patterns. These results indicate that sediment is likely to continue to be a challenge to flood-management efforts and that nature-based alternatives that benefit ecosystem restoration may also mitigate flood exposure for several decades.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235047","collaboration":"Prepared in cooperation with U.S. Environmental Protection Agency through Washington State Department of Fish and Wildlife <br> Prepared in collaboration with Whatcom County Flood Control Zone District, Nooksack Indian Tribe, and Lummi Tribe","usgsCitation":"Grossman, E.E., vanArendonk, N.R., and Nederhoff, K., 2023, Compound flood model for the lower Nooksack River and delta, western Washington—Assessment of vulnerability and nature-based adaptation opportunities to mitigate higher sea level and stream flooding: U.S. Geological Survey Scientific Investigations Report 2023–5047, 49 p., https://doi.org/10.3133/sir20235047.","productDescription":"Report: ix, 49 p.; Data Release","numberOfPages":"49","onlineOnly":"Y","ipdsId":"IP-134130","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":500924,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115235.htm","linkFileType":{"id":5,"text":"html"}},{"id":420306,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5047/covrthb.jpg"},{"id":420307,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5047/sir20235047.pdf","text":"Report","size":"12 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":420308,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DJM7X2","text":"Model input and projections of compound floodwater depths for the lower Nooksack River and delta, western Washington State","description":"Grossman, E.E., vanArendonk, N.R., Nederhoff, K., and Parker, K.A., 2023, Model input and projections of compound floodwater depths for the lower Nooksack River and delta, western Washington State: U.S. Geological Survey data release, https://doi.org/10.5066/P9DJM7X2."}],"country":"United States","state":"Washington","otherGeospatial":"lower Nooksack River and delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.69918794979601,\n              48.9\n            ],\n            [\n              -122.69918794979601,\n              48.70243139948016\n            ],\n            [\n              -122.46630483506905,\n              48.70\n            ],\n            [\n              -122.46630483506905,\n              48.9\n            ],\n            [\n              -122.69918794979601,\n              48.9\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/pcmsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/pcmsc\">Pacific Coastal and Marine 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>2885 Mission St.<br>Santa Cruz, CA 95060</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-08-31","noUsgsAuthors":false,"publicationDate":"2023-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":881455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"vanArendonk, Nathan R. 0000-0003-3911-995X","orcid":"https://orcid.org/0000-0003-3911-995X","contributorId":219469,"corporation":false,"usgs":false,"family":"vanArendonk","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":881456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nederhoff, Cornelis M. 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":265889,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Cornelis","email":"","middleInitial":"M.","affiliations":[{"id":33886,"text":"Deltares USA","active":true,"usgs":false}],"preferred":true,"id":881457,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70248098,"text":"70248098 - 2023 - A new sturgeon herpesvirus from juvenile Lake Sturgeon Acipenser fulvescens displaying epithelial skin lesions","interactions":[],"lastModifiedDate":"2023-09-05T15:36:40.400199","indexId":"70248098","displayToPublicDate":"2023-08-31T09:38:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9113,"text":"Pathogens","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A new sturgeon herpesvirus from juvenile lake sturgeon  <i>Acipenser fulvescens</i> displaying epithelial skin lesions","title":"A new sturgeon herpesvirus from juvenile Lake Sturgeon Acipenser fulvescens displaying epithelial skin lesions","docAbstract":"<p><span>Herpesvirus infections of sturgeon pose a potential threat to sturgeon culture efforts worldwide. A new epitheliotropic herpesvirus named Acipenser herpesvirus 3 (AciHV-3) was detected in hatchery-reared Lake Sturgeon&nbsp;</span><i><span class=\"html-italic\">Acipenser fulvescens</span></i><span>&nbsp;displaying skin lesions in central Canada. The growths were discovered in the fall, reached average prevalence levels of 0.2–40% and eventually regressed. No unusual mortality was observed. The cellular changes within the lesions included epithelial hyperplasia and were reminiscent of other herpesvirus infections. The virus was not evident in lesions examined by electron microscopy. Skin tissue homogenates from symptomatic sturgeon produced atypical cytopathic effects on a primary Lake Sturgeon cell line, and next-generation sequence analysis of the DNA samples revealed the presence of an alloherpesvirus. A new genotyping PCR assay targeting the major capsid protein sequence detected AciHV-3 in symptomatic Lake Sturgeon as well as other apparently healthy sturgeon species. Bayesian inference of phylogeny reconstructed with a concatenation of five alloherpesvirus core proteins revealed a new&nbsp;</span><i><span class=\"html-italic\">Alloherpesviridae</span></i><span>&nbsp;lineage isomorphic with a new genus. The presence of AciHV-3 homologs in cell lines and sturgeon sequence datasets, low sequence divergence among these homologs and branching patterns within the genotyping phylogeny provide preliminary evidence of an endogenous virus lifestyle established in an ancestral sturgeon.</span></p>","largerWorkTitle":"Emerging infections in aquatic animals","language":"English","publisher":"MDPI","doi":"10.3390/pathogens12091115","usgsCitation":"Clouthier, S., Tomczyk, M., Schroeder, T., Klassen, C., Dufresne, A., Emmenegger, E.J., Nalpathamkalam, T., Wang, Z., and Thiruvahindrapuram, B., 2023, A new sturgeon herpesvirus from juvenile Lake Sturgeon Acipenser fulvescens displaying epithelial skin lesions: Pathogens, v. 12, no. 9, 1115, 26 p., https://doi.org/10.3390/pathogens12091115.","productDescription":"1115, 26 p.","ipdsId":"IP-154978","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":442257,"rank":0,"type":{"id":40,"text":"Open 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Canada","active":true,"usgs":false}],"preferred":false,"id":881844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klassen, Cheryl","contributorId":328965,"corporation":false,"usgs":false,"family":"Klassen","given":"Cheryl","email":"","affiliations":[{"id":78539,"text":"Manitoba Hydro, 360 Portage Ave, Winnipeg, MB R3C 0G8, Canada","active":true,"usgs":false}],"preferred":false,"id":881845,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dufresne, Andre","contributorId":328966,"corporation":false,"usgs":false,"family":"Dufresne","given":"Andre","email":"","affiliations":[{"id":78540,"text":"National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, MB R3E 3M4","active":true,"usgs":false}],"preferred":false,"id":881846,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Emmenegger, Eveline J. 0000-0001-5217-6030 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Children, Toronto, ON M5G 0A4; Canada","active":true,"usgs":false}],"preferred":false,"id":881849,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thiruvahindrapuram, Bhooma","contributorId":328969,"corporation":false,"usgs":false,"family":"Thiruvahindrapuram","given":"Bhooma","email":"","affiliations":[{"id":78542,"text":"The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4; Canada","active":true,"usgs":false}],"preferred":false,"id":881850,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70248002,"text":"sir20235095 - 2023 - Surrogate regression models estimating nitrate concentrations at six springs in Gooding County, south-central Idaho, 2018–22","interactions":[],"lastModifiedDate":"2026-03-12T21:18:37.918599","indexId":"sir20235095","displayToPublicDate":"2023-08-31T09:35:05","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5095","displayTitle":"Surrogate Regression Models Estimating Nitrate Concentrations at Six Springs in Gooding County, South-Central Idaho, 2018–22","title":"Surrogate regression models estimating nitrate concentrations at six springs in Gooding County, south-central Idaho, 2018–22","docAbstract":"<p>Populations of endangered Banbury Springs limpet (<i>Idaholanx fresti</i>) and threatened Bliss Rapids snail (<i>Taylorconcha serpenticola</i>) are declining in springs north of the Snake River along the southern Gooding County boundary, in south-central Idaho. One hypothesis for the decline is that increased macrophyte growth, associated with elevated nitrate concentrations in the springs, is decreasing aquatic habitat for the limpet and snail populations. In support of U.S. Fish and Wildlife Service efforts to understand the population declines, the U.S. Geological Survey developed surrogate regression models to estimate nitrate concentrations at six springs influenced by upgradient agriculture, which results in an increase and decrease each year of streamflow, specific conductance, and nitrate concentrations. The surrogate regression models use continuous specific conductance data and streamflow data (available at two springs from existing U.S. Geological Survey streamgages).</p><p>The spring surrogate regression models showed that specific conductance can be an effective surrogate for nitrate in springs affected by agriculture and that the model results improved when streamflow data were included. Four of the six springs had surrogate regression models (using specific conductance and day of the year as explanatory variables) that performed well based on model summary statistics, and these models improved further with the inclusion of streamflow as an explanatory variable. The surrogate regression models at four springs had coefficient of determination (R<sup>2</sup>) values ranging from 0.79 to 0.94. The root mean squared error of the four models ranged from 0.07 to 0.11 milligrams per liter. Two of the six springs were not well modeled, with adjusted R<sup>2</sup> values of 0.15 and 0.80. The surrogate regression models for these two springs also did not meet the required assumption of linearity between explanatory and response variables for linear regression. The surrogate regression models show that specific conductance can be an effective surrogate for nitrate in springs affected by agriculture and that models are improved where streamflow data are included. These surrogates improve understanding of nitrate concentration variability in the springs.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235095","usgsCitation":"Skinner, K.D., 2023, Surrogate regression models estimating nitrate concentrations at six springs in Gooding County, south-central Idaho, 2018–22: U.S. Geological Survey Scientific Investigations Report 2023–5095, 22 p., https://doi.org/10.3133/sir20235095.","productDescription":"Report: vii, 22 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-147907","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":420343,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5095/coverthb.jpg"},{"id":420347,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5095/sir20235095.XML"},{"id":420346,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5095/images"},{"id":420345,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235095/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5095"},{"id":420344,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5095/sir20235095.pdf","text":"Report","size":"3.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5095"},{"id":420348,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BXIBF9","text":"USGS data release","description":"USGS data release","linkHelpText":"Surrogate regression model data for estimating nitrate concentrations at six springs in Gooding County, south-central Idaho"},{"id":501061,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115234.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","county":"Gooding County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115,\n              42.9167\n            ],\n            [\n              -115,\n              42.6\n            ],\n            [\n              -114.6,\n              42.6\n            ],\n            [\n              -114.6,\n              42.9167\n            ],\n            [\n              -115,\n              42.9167\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/idaho-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/idaho-water-science-center\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Road<br>Boise, Idaho 83702-4520</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Nitrate Surrogate Regression Model Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2023-08-31","noUsgsAuthors":false,"publicationDate":"2023-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881486,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70251104,"text":"70251104 - 2023 - Monitoring long-term changes in forage fish distribution, abundance and body condition in Prince William Sound","interactions":[],"lastModifiedDate":"2024-01-23T13:22:56.774879","indexId":"70251104","displayToPublicDate":"2023-08-31T07:14:54","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Monitoring long-term changes in forage fish distribution, abundance and body condition in Prince William Sound","docAbstract":"Identifying drivers of change in forage fish populations is key to understanding recovery potential for piscivorous species injured by the Exxon Valdez oil spill, and ecosystem response to natural and anthropogenic perturbations. Forage fish are small pelagic schooling fish such as Pacific capelin (Mallotus catervarius), Pacific sand lance (Ammodytes personatus), Pacific herring (Clupea pallasii), and juvenile walleye pollock (Gadus chalcogrammus) that are prey of many marine predators. Krill (Euphausiidae) are also an important prey taxa sampled in this study. The goals of the Gulf Watch Alaska forage fish monitoring project are to provide information on the population trends of forage species in the Gulf of Alaska and to better understand how underlying predator-prey interactions influence recovering species and the pelagic ecology of Prince William Sound. The main sampling components of the program include acoustic-trawl surveys for forage fish in Prince William Sound during the Fall Integrated Predator-Prey survey (September), and seabird diet sampling at Middleton Island during spring/summer (April – August). We also validate aerial surveys conducted by the Herring Research and Monitoring program (June), and sample summer spawning capelin and sand lance (July) for condition analyses. This work has provided information important to understanding ecosystem response to perturbations in the northern Gulf of Alaska.","language":"English","publisher":"Exxon Valdez Oil Spill Trustee Council","collaboration":"Exxon Valdez Oil Spill Trustee Council","usgsCitation":"Arimitsu, M.L., Piatt, J., Scott Hatch, Marsteller, C.E., Donnelly, D.S., and Whelan, S., 2023, Monitoring long-term changes in forage fish distribution, abundance and body condition in Prince William Sound, iii, 87 p.","productDescription":"iii, 87 p.","ipdsId":"IP-151241","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":424729,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://evostc.state.ak.us/media/8008/21120114-c_forage-fish-fy17-21-final-report.pdf"},{"id":424741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -151.12243096735082,\n              61.7395810933933\n            ],\n            [\n              -151.12243096735082,\n              56.73795316549365\n            ],\n            [\n              -141.4324895611008,\n              56.73795316549365\n            ],\n            [\n              -141.4324895611008,\n              61.7395810933933\n            ],\n            [\n              -151.12243096735082,\n              61.7395810933933\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":893129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piatt, John F. 0000-0002-4417-5748","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":244053,"corporation":false,"usgs":true,"family":"Piatt","given":"John F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":893130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott Hatch","contributorId":333572,"corporation":false,"usgs":false,"family":"Scott Hatch","affiliations":[{"id":52319,"text":"ISRC","active":true,"usgs":false}],"preferred":false,"id":893131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marsteller, Caitlin Elizabeth 0000-0002-2430-0708","orcid":"https://orcid.org/0000-0002-2430-0708","contributorId":251784,"corporation":false,"usgs":true,"family":"Marsteller","given":"Caitlin","email":"","middleInitial":"Elizabeth","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":893132,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Donnelly, Daniel Stephen 0000-0001-9456-885X","orcid":"https://orcid.org/0000-0001-9456-885X","contributorId":333573,"corporation":false,"usgs":true,"family":"Donnelly","given":"Daniel","email":"","middleInitial":"Stephen","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":893133,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whelan, Shannon","contributorId":333574,"corporation":false,"usgs":false,"family":"Whelan","given":"Shannon","email":"","affiliations":[{"id":52319,"text":"ISRC","active":true,"usgs":false}],"preferred":false,"id":893134,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70248240,"text":"70248240 - 2023 - Support for management actions to protect night sky quality: Insights from visitors to state and national park units in the U.S.","interactions":[],"lastModifiedDate":"2023-09-06T11:56:07.58725","indexId":"70248240","displayToPublicDate":"2023-08-31T06:53:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Support for management actions to protect night sky quality: Insights from visitors to state and national park units in the U.S.","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Light pollution is a global phenomenon where anthropogenic light sources continue to grow unabated, affecting both social and ecological systems. This is leaving parks and protected areas as some of the last vestiges of naturally dark environments for protecting views of the night sky. Yet, even parks and protected areas have outdoor lighting. Alternative lighting practices are needed to reduce or prevent light pollution from within parks. However, making parks darker may not be desirable for some visitors if they believe it will reduce navigability, safety, or restrict how they recreate (e.g., requiring the use of red-light flashlights after dark and before dawn). How visitors will respond to alternative lighting practices that park managers can implement is still unknown. We used an on-site intercept survey at nine state and national park units in Utah,<span>&nbsp;</span>U.S.<span>, to investigate nighttime visitors' support or opposition to management actions to protect night sky quality and their interest in learning about topics related to night skies. Further, this study also segmented visitors into two groups: those ‘dependent’ on the dark sky as a resource and those whose activities did not depend on a dark sky. Defining what a ‘dark sky dependent’ visitor is, which has yet to be done in the literature, is a fundamental step to furthering night sky research and management efforts. Across nine parks and protected areas, 62% of nighttime visitors participated in dark sky dependent activities. Findings indicate broad support for management actions designed to improve night sky quality, with between 74% and 89% of all visitors supporting seven different management actions. There was stronger support from dark sky dependent visitors for some elements of alternative lighting practices, but there was still strong support for those who do not participate in dark sky dependent&nbsp;outdoor recreation. Additionally, between 57% and 75% of visitors were interested in learning more about topics related to night skies. This research indicates most visitors would welcome actions to preserve the quality of the rapidly dwindling naturally dark experiences offered by parks and protected areas.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.118878","usgsCitation":"Beeco, J.A., Wilkins, E.J., Miller, A.B., Lamborn, C.C., Anderson, S., Miller, Z., and Smith, J.W., 2023, Support for management actions to protect night sky quality: Insights from visitors to state and national park units in the U.S.: Journal of Environmental Management, v. 345, 118878, 10 p., https://doi.org/10.1016/j.jenvman.2023.118878.","productDescription":"118878, 10 p.","ipdsId":"IP-152589","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":442259,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2023.118878","text":"Publisher Index Page"},{"id":420540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-111.046551,41.251716],[-111.046723,40.997959],[-110.750727,40.996847],[-110.715026,40.996347],[-110.539819,40.996346],[-110.500718,40.994746],[-110.375714,40.994947],[-110.250709,40.996089],[-110.237848,40.995427],[-110.125709,40.99655],[-110.121639,40.997101],[-110.048476,40.997555],[-110.006495,40.997815],[-110.000708,40.997352],[-109.999838,40.99733],[-109.97553,40.997912],[-109.855299,40.997614],[-109.854302,40.997661],[-109.715409,40.998191],[-109.713877,40.998266],[-109.676421,40.998395],[-109.534926,40.998143],[-109.500694,40.999127],[-109.250735,41.001009],[-109.231985,41.002059],[-109.173682,41.000859],[-109.050076,41.000659],[-109.048455,40.826081],[-109.049088,40.714562],[-109.048373,40.662602],[-109.048249,40.653601],[-109.048044,40.619231],[-109.050074,40.540358],[-109.049955,40.539901],[-109.050698,40.499963],[-109.050314,40.495092],[-109.050946,40.444368],[-109.050969,40.222662],[-109.050973,40.180849],[-109.050944,40.180712],[-109.050813,40.059579],[-109.050873,40.058915],[-109.050615,39.87497],[-109.05104,39.660472],[-109.051363,39.497674],[-109.050765,39.366677],[-109.051512,39.126095],[-109.052436,38.999985],[-109.053292,38.942878],[-109.053233,38.942467],[-109.053797,38.905284],[-109.053943,38.904414],[-109.054189,38.874984],[-109.057388,38.795456],[-109.059541,38.719888],[-109.060253,38.599328],[-109.059962,38.499987],[-109.060062,38.275489],[-109.054648,38.244921],[-109.041762,38.16469],[-109.041837,38.153022],[-109.04282,37.999301],[-109.042819,37.997068],[-109.043121,37.97426],[-109.041058,37.907236],[-109.041653,37.88117],[-109.041844,37.872788],[-109.041723,37.842051],[-109.041754,37.835826],[-109.041461,37.800105],[-109.042098,37.74999],[-109.041636,37.74021],[-109.04176,37.713182],[-109.041732,37.711214],[-109.042269,37.666067],[-109.042089,37.623795],[-109.042131,37.617662],[-109.041806,37.604171],[-109.041865,37.530726],[-109.041915,37.530653],[-109.043137,37.499992],[-109.043464,37.484711],[-109.04581,37.374993],[-109.046039,37.249993],[-109.045584,37.249351],[-109.045487,37.210844],[-109.045978,37.201831],[-109.045995,37.177279],[-109.045156,37.112064],[-109.045203,37.111958],[-109.045173,37.109464],[-109.045189,37.096271],[-109.044995,37.086429],[-109.045058,37.074661],[-109.045166,37.072742],[-109.045223,36.999084],[-109.181196,36.999271],[-109.233848,36.999266],[-109.246917,36.999346],[-109.26339,36.999263],[-109.268213,36.999242],[-109.270097,36.999266],[-109.378039,36.999135],[-109.381226,36.999148],[-109.495338,36.999105],[-109.625668,36.998308],[-109.875673,36.998504],[-110.000677,36.997968],[-110.000876,36.998502],[-110.021778,36.998602],[-110.47019,36.997997],[-110.490908,37.003566],[-110.50069,37.00426],[-110.599512,37.003448],[-110.625605,37.003416],[-110.62569,37.003721],[-110.75069,37.003197],[-111.066496,37.002389],[-111.133718,37.000779],[-111.254853,37.001077],[-111.278286,37.000465],[-111.405517,37.001497],[-111.405869,37.001481],[-111.412784,37.001478],[-112.35769,37.001025],[-112.368946,37.001125],[-112.534545,37.000684],[-112.538593,37.000674],[-112.540368,37.000669],[-112.545094,37.000734],[-112.558974,37.000692],[-112.609787,37.000753],[-112.899366,37.000319],[-112.966471,37.000219],[-113.965907,36.999976],[-113.965907,37.000025],[-114.0506,37.000396],[-114.051749,37.088434],[-114.051822,37.090976],[-114.052827,37.103961],[-114.051867,37.134292],[-114.052179,37.14711],[-114.051673,37.172368],[-114.051405,37.233854],[-114.051974,37.283848],[-114.051974,37.284511],[-114.0518,37.293044],[-114.0518,37.293548],[-114.051927,37.370459],[-114.051927,37.370734],[-114.051765,37.418083],[-114.052448,37.43144],[-114.052701,37.492014],[-114.052685,37.502513],[-114.052718,37.517264],[-114.052689,37.517859],[-114.052962,37.592783],[-114.052472,37.604776],[-114.051728,37.745997],[-114.051785,37.746249],[-114.05167,37.746958],[-114.051109,37.756276],[-114.049919,37.765586],[-114.048473,37.809861],[-114.049677,37.823645],[-114.049928,37.852508],[-114.049658,37.881368],[-114.050423,37.999961],[-114.049903,38.148601],[-114.050138,38.24996],[-114.049417,38.2647],[-114.05012,38.404536],[-114.050091,38.404673],[-114.050485,38.499955],[-114.049834,38.543784],[-114.049862,38.547764],[-114.050154,38.57292],[-114.049883,38.677365],[-114.049749,38.72921],[-114.049168,38.749951],[-114.049465,38.874949],[-114.048521,38.876197],[-114.048054,38.878693],[-114.049104,39.005509],[-114.047079,39.499943],[-114.047728,39.542742],[-114.047273,39.759413],[-114.047783,39.79416],[-114.047214,39.821024],[-114.047134,39.906037],[-114.046555,39.996899],[-114.046835,40.030131],[-114.046386,40.097896],[-114.046741,40.104231],[-114.046683,40.116931],[-114.046153,40.231971],[-114.046178,40.398313],[-114.045826,40.424823],[-114.045218,40.430282],[-114.045518,40.494474],[-114.045577,40.495801],[-114.045281,40.506586],[-114.043505,40.726292]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 \"}}]}","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Beeco, J. Adam","contributorId":329369,"corporation":false,"usgs":false,"family":"Beeco","given":"J.","email":"","middleInitial":"Adam","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":882076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilkins, Emily J. 0000-0003-3055-4808","orcid":"https://orcid.org/0000-0003-3055-4808","contributorId":328409,"corporation":false,"usgs":true,"family":"Wilkins","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Anna B.","contributorId":329370,"corporation":false,"usgs":false,"family":"Miller","given":"Anna","email":"","middleInitial":"B.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":882078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamborn, Chase C. 0000-0003-0854-6270","orcid":"https://orcid.org/0000-0003-0854-6270","contributorId":329371,"corporation":false,"usgs":false,"family":"Lamborn","given":"Chase","middleInitial":"C.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":882080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Sharolyn","contributorId":178848,"corporation":false,"usgs":false,"family":"Anderson","given":"Sharolyn","email":"","affiliations":[],"preferred":false,"id":882079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Zachary D. 0000-0001-9909-1202","orcid":"https://orcid.org/0000-0001-9909-1202","contributorId":329372,"corporation":false,"usgs":false,"family":"Miller","given":"Zachary D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":882081,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Jordan W.","contributorId":177326,"corporation":false,"usgs":false,"family":"Smith","given":"Jordan","email":"","middleInitial":"W.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":882082,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70248746,"text":"70248746 - 2023 - Quantifying site effects and their influence on earthquake source parameter estimations using a dense array in Oklahoma","interactions":[],"lastModifiedDate":"2024-06-27T16:55:25.440762","indexId":"70248746","displayToPublicDate":"2023-08-31T06:41:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6453,"text":"Journal of Geophysical Research Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying site effects and their influence on earthquake source parameter estimations using a dense array in Oklahoma","docAbstract":"<div class=\"article-section__content en main\"><p>We investigate the effects of site response on source parameter estimates using earthquakes recorded by the LArge-n Seismic Survey in Oklahoma (LASSO). While it is well known that near-surface unconsolidated sediments can cause an apparent breakdown of earthquake self-similarity, the influence of laterally varying site conditions remains unclear. We analyze site conditions across the 1825-station array on a river plain within an area of 40&nbsp;km by 23&nbsp;km using vertical ground motions from 14 regional earthquakes. While the source radiation pattern controls P-wave ground motions below 8&nbsp;Hz, the surface geology correlates with P-wave ground motions above 8&nbsp;Hz and S-wave ground motions at 2–21&nbsp;Hz. Stations installed in alluvial sediments have vertical ground motions that can exceed three times the array median. We use the variation of ground motion of regional earthquakes across the array as a proxy for site effects. The corner frequencies and stress drops of local earthquakes (<i>M</i><sub><i>L</i></sub>&nbsp;=&nbsp;0.01–3) estimated using a standard single-spectra approach show negative correlations with the site-effect proxy, while the seismic moments show positive correlations. In contrast, the spectral-ratio approach effectively shows no correlation. The overall bias is small as expected for this relatively homogeneous structure; accurate estimation of site-related biases requires at least 30 stations. Correcting for site-related biases reduces the standard deviations of the source parameters by less than 13% of the total variations. Remaining variations are partially associated with source directivity and model misfits— as small earthquakes can have complex ruptures.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JB027144","usgsCitation":"Chang, H., Abercrombie, R.E., Nakata, N., Pennington, C., Kemna, K.B., Cochran, E.S., and Harrington, R.M., 2023, Quantifying site effects and their influence on earthquake source parameter estimations using a dense array in Oklahoma: Journal of Geophysical Research Solid Earth, v. 128, no. 9, e2023JB027144, 19 p., https://doi.org/10.1029/2023JB027144.","productDescription":"e2023JB027144, 19 p.","ipdsId":"IP-147611","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":442261,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jb027144","text":"Publisher Index Page"},{"id":420939,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99.03088758444359,\n              37.03049544474975\n            ],\n            [\n              -99.03088758444359,\n              34.64496155871649\n            ],\n            [\n              -95.45088062769271,\n              34.64496155871649\n            ],\n            [\n              -95.45088062769271,\n              37.03049544474975\n            ],\n            [\n              -99.03088758444359,\n              37.03049544474975\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"128","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-09-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Chang, Hilary","contributorId":293564,"corporation":false,"usgs":false,"family":"Chang","given":"Hilary","email":"","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":883416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abercrombie, Rachel E.","contributorId":329841,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel","email":"","middleInitial":"E.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":883417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nakata, Nori","contributorId":293565,"corporation":false,"usgs":false,"family":"Nakata","given":"Nori","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":883418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pennington, Colin","contributorId":329842,"corporation":false,"usgs":false,"family":"Pennington","given":"Colin","affiliations":[{"id":16721,"text":"LLNL","active":true,"usgs":false}],"preferred":false,"id":883419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kemna, Kilian B.","contributorId":329843,"corporation":false,"usgs":false,"family":"Kemna","given":"Kilian","email":"","middleInitial":"B.","affiliations":[{"id":47982,"text":"Ruhr-Universitat Bochum","active":true,"usgs":false}],"preferred":false,"id":883420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":883421,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harrington, Rebecca M.","contributorId":146633,"corporation":false,"usgs":false,"family":"Harrington","given":"Rebecca","email":"","middleInitial":"M.","affiliations":[{"id":16736,"text":"Dept. of Earth and Planetary Sci,.McGill Univ., Montreal, Quebec","active":true,"usgs":false}],"preferred":false,"id":883422,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70248285,"text":"70248285 - 2023 - Scanning electron microscopic evaluation of broad ion beam milling effects to sedimentary organic matter: Sputter-induced artifacts or naturally occurring porosity?","interactions":[],"lastModifiedDate":"2023-09-07T11:39:21.356639","indexId":"70248285","displayToPublicDate":"2023-08-31T06:37:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Scanning electron microscopic evaluation of broad ion beam milling effects to sedimentary organic matter: Sputter-induced artifacts or naturally occurring porosity?","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0070\"><span>Research examining organic-matter hosted porosity has significantly increased during the last decade due to greater focus on understanding&nbsp;hydrocarbon migration&nbsp;and storage in source-rock reservoirs, and technological advances in scanning electron microscopy (SEM) capabilities. The examination of nanometer-scale organic-matter hosted porosity by SEM requires the preparation of exceptionally flat geologic samples beyond the abilities of traditional mechanical polishing, which can deform or otherwise obscure organic surfaces. To meet this demand, broad&nbsp;ion beam&nbsp;(BIB) milling was introduced as a sample preparation technique for SEM&nbsp;petrographic analysis&nbsp;of geologic samples. As with any sample preparation technique, there can be unintended consequences. In this study, we examined the development of nanometer-scale sputter-induced voids caused by BIB milling of thermoset plastic&nbsp;</span>binder material<span>&nbsp;[poly(methyl methacrylate), PMMA] used for the mounting of geologic samples, and artifact sputter-induced voids in the organic matter of Green River Formation and Kimmeridge Clay Formation source rocks. Development of artifact sputter-induced voids was evaluated in relation to variations in the slope of the sample examination surface (0.0–4.9% slope), effectively varying the angle of ion incidence. The results indicate that only minor variations in the angle of ion incidence can generate sputter-induced voids in both PMMA (10.0–386.2&nbsp;nm diameter sputter-induced voids) and sample sedimentary organic matter (solid bitumen; 12.2–103.6&nbsp;nm diameter sputter-induced voids). Overall, average artifact&nbsp;pore diameters&nbsp;increased with increasing ion incidence angle within PMMA. Although sputter-induced voids within solid bitumen in the Green River Formation sample were only found in limited extent, the size of these void artifacts falls within the same size range as naturally occurring meso-macroporosity. That is, the pore-like artifacts could easily be misconstrued as naturally developed organic porosity, which is a major concern for SEM-based porosity evaluation methods. This study describes the factors that contribute to the creation of artifact sputter-induced voids, their distinguishing characteristics, and best practices for avoiding the creation of ion-induced artifacts.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2023.104348","usgsCitation":"Valentine, B.J., and Hackley, P.C., 2023, Scanning electron microscopic evaluation of broad ion beam milling effects to sedimentary organic matter: Sputter-induced artifacts or naturally occurring porosity?: International Journal of Coal Geology, v. 277, 104348, 12 p., https://doi.org/10.1016/j.coal.2023.104348.","productDescription":"104348, 12 p.","ipdsId":"IP-146231","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":442263,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2023.104348","text":"Publisher Index Page"},{"id":420608,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"277","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":882282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":882283,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264030,"text":"70264030 - 2023 - Eastern Indigo snake (Drymarchon couperi) shelter site use In peninsular Florida, USA, and implicatIons for habItat conservatIon","interactions":[],"lastModifiedDate":"2025-03-05T17:28:54.304812","indexId":"70264030","displayToPublicDate":"2023-08-31T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Eastern Indigo snake (Drymarchon couperi) shelter site use In peninsular Florida, USA, and implicatIons for habItat conservatIon","docAbstract":"<p>Shelters are critical for many species as protection from predators and extreme temperatures. Successful conservation of reptiles requires understanding both shelter site requirements and availability. The Eastern Indigo Snake (EIS; <i>Drymarchon couperi</i>) is endemic to the southeastern U.S. and is federally listed. Recovery has focused on maximizing unfragmented landscapes, with less attention on fine-scale features such as shelter sites. In the northern EIS range, Gopher Tortoise (<i>Gopherus polyphemus</i>) burrows are used extensively for shelter. Although EIS in peninsular Florida often shelter in tortoise burrows, they also use other shelters where tortoise burrows are scarce or absent. Solely focusing EIS survey and management efforts where Gopher Tortoises are present may overlook occupied habitats and misallocate resources. We investigated the importance of different shelter sites in central Florida using data from radio-tracked EIS. We modeled the use of shelter categories as a function of sex, season, and habitat using Bayesian multinomial Generalized Linear Models. Results showed that EIS in peninsular Florida used Gopher Tortoise burrows across all seasons and habitats. Tortoise burrow use was highest in xeric habitats and lowest in mesic habitats where burrows are most and least abundant, respectively. There was less variability in shelter site use in disturbed habitats and flatwoods. Tortoise burrow use by EIS in the cool season across sexes and habitats in our study was much lower than in southern Georgia. Our results indicate that EIS are less dependent on Gopher Tortoise burrows in peninsular Florida and that suitable habitats with few or no tortoise burrows could still provide conservation value for EIS.</p>","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Bolt, M., Bauder, J.M., Legare, M., Jenkins, C., Rothermel, B., and Breininger, D., 2023, Eastern Indigo snake (Drymarchon couperi) shelter site use In peninsular Florida, USA, and implicatIons for habItat conservatIon: Herpetological Conservation and Biology, v. 18, no. 2, p. 362-373.","productDescription":"12 p.","startPage":"362","endPage":"373","ipdsId":"IP-139825","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482919,"rank":1,"type":{"id":15,"text":"Index 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,{"id":70248000,"text":"ofr20231062 - 2023 - Restoration of Gavia immer (common loon) in Minnesota—2022 annual report","interactions":[],"lastModifiedDate":"2024-02-23T16:35:37.956518","indexId":"ofr20231062","displayToPublicDate":"2023-08-30T15:25:54","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1062","displayTitle":"Restoration of <em>Gavia immer</em> (Common Loon) in Minnesota—2022 Annual Report","title":"Restoration of Gavia immer (common loon) in Minnesota—2022 annual report","docAbstract":"<p>The explosion of the <i>Deepwater Horizon</i> mobile drilling platform on April 20, 2010, caused a massive oil spill and injury to natural resources in the Gulf of Mexico. <i>Gavia immer</i> (common loon) were negatively affected from the spill. The Open Ocean Trustee Implementation Group funded the project “Restoration of Common Loons in Minnesota” to restore common loons lost to the spill. Here, we report on activities conducted for this project in an eight-county region in Minnesota in calendar year 2022. We identified a subset of territories that were monitored in 2021 as focal territories (<i>n</i>=99) from which multiyear study inferences can ultimately be made. We monitored nonfocal territories on all study lakes as well. We conducted surveys from May 9 to August 12, 2022. At least 1 nest attempt was observed in 68 of 99 focal territories, and a second nest attempt after a failed initial attempt was observed in 17 focal territories. Chicks or other evidence of hatching was observed in 33 of 99 territories. Data collected in 2021 and 2022 for this project are presented in a U.S. Geological Survey data release (<a data-mce-href=\"https://doi.org/10.5066/P9LA536E\" href=\"https://doi.org/10.5066/P9LA536E\">https://doi.org/10.5066/P9LA536E</a>). We present no formal data analysis in this report.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231062","collaboration":"Prepared in cooperation with the Minnesota Department of Natural Resources and Minnesota Pollution Control Agency","usgsCitation":"Beatty, W.S., Fara, L.J., Houdek, S.C., Rabasco, R., Rettler, S., Rasmussen, E., Kenow, K.P., Gray, B.R., Yang, S., and Amoth, K., 2023, Restoration of <em>Gavia immer</em> (common loon) in Minnesota—2022 annual report: U.S. Geological Survey Open-File Report 2023–1062, 5 p., https://doi.org/10.3133/ofr20231062.","productDescription":"Report: vi, 5 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","ipdsId":"IP-151382","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":420377,"rank":6,"type":{"id":39,"text":"HTML 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/upper-midwest-environmental-sciences-center\" data-mce-href=\"https://www.usgs.gov/centers/upper-midwest-environmental-sciences-center\">Upper Midwest Environmental Sciences Center</a><br>U.S. Geological Survey<br>2630 Fanta Reed Road<br>La Crosse, WI 54603</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Benchmarks to Evaluate Project Progress</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-08-30","noUsgsAuthors":false,"publicationDate":"2023-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":224795,"corporation":false,"usgs":true,"family":"Beatty","given":"William S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":881473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fara, Luke J. 0000-0002-1143-4395","orcid":"https://orcid.org/0000-0002-1143-4395","contributorId":202973,"corporation":false,"usgs":true,"family":"Fara","given":"Luke J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":881474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houdek, Steven C. 0000-0001-9452-6596 shoudek@usgs.gov","orcid":"https://orcid.org/0000-0001-9452-6596","contributorId":4423,"corporation":false,"usgs":true,"family":"Houdek","given":"Steven","email":"shoudek@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":881475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rabasco, Robert","contributorId":328846,"corporation":false,"usgs":false,"family":"Rabasco","given":"Robert","email":"","affiliations":[{"id":78505,"text":"Minnesota Department of Natural Resources, Brainerd, Minnesota","active":true,"usgs":false}],"preferred":false,"id":881476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rettler, Spencer","contributorId":328847,"corporation":false,"usgs":false,"family":"Rettler","given":"Spencer","email":"","affiliations":[{"id":78506,"text":"Minnesota Department of Natural Resources, Grand Rapids, Minnesota","active":true,"usgs":false}],"preferred":false,"id":881477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rasmussen, Elizabeth","contributorId":328848,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Elizabeth","email":"","affiliations":[{"id":78505,"text":"Minnesota Department of Natural Resources, Brainerd, Minnesota","active":true,"usgs":false}],"preferred":false,"id":881478,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":881479,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":881480,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yang, Steven","contributorId":328849,"corporation":false,"usgs":false,"family":"Yang","given":"Steven","email":"","affiliations":[{"id":78507,"text":"Minnesota Pollution Control Agency, St. Paul, Minnesota","active":true,"usgs":false}],"preferred":false,"id":881481,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Amoth, Kelly","contributorId":328850,"corporation":false,"usgs":false,"family":"Amoth","given":"Kelly","email":"","affiliations":[{"id":78507,"text":"Minnesota Pollution Control Agency, St. Paul, Minnesota","active":true,"usgs":false}],"preferred":false,"id":881482,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70266488,"text":"70266488 - 2023 - Widespread retreat of coastal habitat is likely at warming levels above 1.5 °C","interactions":[],"lastModifiedDate":"2025-05-08T14:24:05.623171","indexId":"70266488","displayToPublicDate":"2023-08-30T09:14:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Widespread retreat of coastal habitat is likely at warming levels above 1.5 °C","docAbstract":"<p><span>Several coastal ecosystems—most notably mangroves and tidal marshes—exhibit biogenic feedbacks that are facilitating adjustment to relative sea-level rise (RSLR), including the sequestration of carbon and the trapping of mineral sediment</span><sup><a id=\"ref-link-section-d6940227e925\" title=\"Morris, J. T. et al. Contributions of organic and inorganic matter to sediment volume and accretion in tidal wetlands at steady state. Earths Future 4, 110–121 (2016).\" href=\"https://www.nature.com/articles/s41586-023-06448-z#ref-CR1\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 1\" data-mce-href=\"https://www.nature.com/articles/s41586-023-06448-z#ref-CR1\">1</a></sup><span>. The stability of reef-top habitats under RSLR is similarly linked to reef-derived sediment accumulation and the vertical accretion of protective coral reefs</span><sup><a id=\"ref-link-section-d6940227e929\" title=\"Perry, C. T. et al. Implications of reef ecosystem change for the stability and maintenance of coral reef islands. Global Change Biol. 17, 3679–3696 (2011).\" href=\"https://www.nature.com/articles/s41586-023-06448-z#ref-CR2\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 2\" data-mce-href=\"https://www.nature.com/articles/s41586-023-06448-z#ref-CR2\">2</a></sup><span>. The persistence of these ecosystems under high rates of RSLR is contested</span><sup><a id=\"ref-link-section-d6940227e933\" title=\"Kirwan, M. L., Temmerman, S., Skeehan, E. E., Guntenspergen, G. R. &amp; Fagherazzi, S. Overestimation of marsh vulnerability to sea level rise. Nat. Clim. Change 6, 253–260 (2016).\" href=\"https://www.nature.com/articles/s41586-023-06448-z#ref-CR3\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 3\" data-mce-href=\"https://www.nature.com/articles/s41586-023-06448-z#ref-CR3\">3</a></sup><span>. Here we show that the probability of vertical adjustment to RSLR inferred from palaeo-stratigraphic observations aligns with contemporary in situ survey measurements. A deficit between tidal marsh and mangrove adjustment and RSLR is likely at 4 mm yr</span><sup>−1</sup><span>&nbsp;and highly likely at 7 mm yr</span><sup>−1</sup><span>&nbsp;of RSLR. As rates of RSLR exceed 7 mm yr</span><sup>−1</sup><span>, the probability that reef islands destabilize through increased shoreline erosion and wave over-topping increases. Increased global warming from 1.5 °C to 2.0 °C would double the area of mapped tidal marsh exposed to 4 mm yr</span><sup>−1</sup><span>&nbsp;of RSLR by between 2080 and 2100. With 3 °C of warming, nearly all the world’s mangrove forests and coral reef islands and almost 40% of mapped tidal marshes are estimated to be exposed to RSLR of at least 7 mm yr</span><sup>−1</sup><span>. Meeting the Paris agreement targets would minimize disruption to coastal ecosystems.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41586-023-06448-z","usgsCitation":"Saintilan, N., Horton, B., Törnqvist, T., Ashe, E., Khan, N., Schuerch, M., Perry, C., Kopp, R.E., Garner, G., Murray, N., Rogers, K., Albert, S., Kelleway, J., Shaw, T., Woodroffe, C.D., Lovelock, C.E., Goddard, M., Hutley, L.B., Kovalenko, K., Feher, L., and Guntenspergen, G.R., 2023, Widespread retreat of coastal habitat is likely at warming levels above 1.5 °C: Nature, v. 621, p. 112-119, https://doi.org/10.1038/s41586-023-06448-z.","productDescription":"8 p.","startPage":"112","endPage":"119","ipdsId":"IP-147653","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488163,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41586-023-06448-z","text":"Publisher Index Page"},{"id":485554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"621","noUsgsAuthors":false,"publicationDate":"2023-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Saintilan, Neil","contributorId":300648,"corporation":false,"usgs":false,"family":"Saintilan","given":"Neil","affiliations":[{"id":65215,"text":"Macquarie University, Sydney, Australia","active":true,"usgs":false}],"preferred":false,"id":936213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horton, Benjamin","contributorId":115142,"corporation":false,"usgs":true,"family":"Horton","given":"Benjamin","affiliations":[],"preferred":false,"id":936214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Törnqvist, Torbjörn","contributorId":354705,"corporation":false,"usgs":false,"family":"Törnqvist","given":"Torbjörn","affiliations":[{"id":13500,"text":"Tulane 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Chris","contributorId":224306,"corporation":false,"usgs":false,"family":"Perry","given":"Chris","email":"","affiliations":[{"id":40853,"text":"UE","active":true,"usgs":false}],"preferred":false,"id":936219,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kopp, Robert E.","contributorId":193396,"corporation":false,"usgs":false,"family":"Kopp","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":936220,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Garner, Gregory","contributorId":287423,"corporation":false,"usgs":false,"family":"Garner","given":"Gregory","email":"","affiliations":[{"id":61579,"text":"Rutgers Univ","active":true,"usgs":false}],"preferred":false,"id":936221,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Murray, Nicholas","contributorId":354712,"corporation":false,"usgs":false,"family":"Murray","given":"Nicholas","affiliations":[{"id":40403,"text":"James Cook 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Madeline","contributorId":354719,"corporation":false,"usgs":false,"family":"Goddard","given":"Madeline","affiliations":[{"id":12877,"text":"Charles Darwin University","active":true,"usgs":false}],"preferred":false,"id":936229,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Hutley, Lindsay B.","contributorId":146566,"corporation":false,"usgs":false,"family":"Hutley","given":"Lindsay","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":936230,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Kovalenko, Katya 0000-0001-7363-212X","orcid":"https://orcid.org/0000-0001-7363-212X","contributorId":270372,"corporation":false,"usgs":false,"family":"Kovalenko","given":"Katya","email":"","affiliations":[{"id":56155,"text":"Natural Resources Research Institute, University of Minnesota, Duluth","active":true,"usgs":false}],"preferred":false,"id":936231,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Feher, Laura 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":221894,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":936232,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":936233,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70249665,"text":"70249665 - 2023 - Estimating fat content in barred owls (Strix varia) with predictive models developed from direct measures of proximate body composition","interactions":[],"lastModifiedDate":"2023-10-24T13:44:20.534571","indexId":"70249665","displayToPublicDate":"2023-08-30T08:42:28","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Estimating fat content in barred owls (Strix varia) with predictive models developed from direct measures of proximate body composition","docAbstract":"<p><span>Body condition indices and related metrics can help assess habitat quality and other ecological processes, and ideally, these metrics are based on measures of lipids directly extracted from the species of interest. In recent decades, barred owls (</span><i>Strix varia</i><span>) have become a species of conservation concern as they invaded older forests of the US Pacific Northwest, and caused population declines of the closely related and federally threatened northern spotted owl (</span><i>Strix occidentalis caurina</i><span>). A simple and effective measure of barred owl body condition could help to understand how habitat quality varies within their new range, which in turn can inform their management and other aspects of their ecology. Using 77 barred owl carcasses collected during experimental removals in Washington and Oregon, USA, we measured the amount of lipid in each specimen with proximate body composition analysis. We then fit and compared (with adjusted&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;values) alternative linear regression models to estimate the percent lipids in dry mass of the owls based on morphometric body condition indices, a qualitative fat score of subcutaneous breast fat, sex and the time of year females were collected (relative to egg production). Adjusted&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;values for all models ranged from 0.49 to 0.87, with the best model including mass divided by foot-pad length, fat score, sex and the time of year a female was collected. Most models generated comparable estimates of percent lipids at a population level and we provided correction factors to apply these models when used with live barred owls, allowing for site-specific comparisons of body condition among individuals inhabiting a diversity of environmental conditions.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coad069","usgsCitation":"Baumbusch, R.C., Dugger, K., and Wiens, D., 2023, Estimating fat content in barred owls (Strix varia) with predictive models developed from direct measures of proximate body composition: Conservation Physiology, v. 11, no. 1, coad069, 9 p., https://doi.org/10.1093/conphys/coad069.","productDescription":"coad069, 9 p.","ipdsId":"IP-139469","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":442265,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coad069","text":"Publisher Index Page"},{"id":435202,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BY17SZ","text":"USGS data release","linkHelpText":"Fat content and morphometric data in barred owls (Strix varia) in the Pacific Northwest"},{"id":422066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Baumbusch, Ryan C.","contributorId":331066,"corporation":false,"usgs":false,"family":"Baumbusch","given":"Ryan","email":"","middleInitial":"C.","affiliations":[{"id":79110,"text":"Oregon Cooperative Fish and Wildlife Research Unit, Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":886640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":886641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiens, David 0000-0002-2020-038X","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":267230,"corporation":false,"usgs":true,"family":"Wiens","given":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":886642,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70248336,"text":"70248336 - 2023 - Reanalysis ignores pertinent data, includes inappropriate observations, and disregards realities of applied ecology: Response to Huso and Dalthorp (2023)","interactions":[],"lastModifiedDate":"2023-10-11T15:57:44.852952","indexId":"70248336","displayToPublicDate":"2023-08-30T06:53:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Reanalysis ignores pertinent data, includes inappropriate observations, and disregards realities of applied ecology: Response to Huso and Dalthorp (2023)","docAbstract":"<ul class=\"rlist hanging\"><li><p>1) We recently demonstrated efficacy of automated curtailment of wind turbines in reducing fatalities of eagles at a study site in Wyoming, USA. Huso and Dalthorp criticize our work, asserting that there are several ‘major errors’ that render our previous work as providing ‘no meaningful support’ for automated curtailment. As we show here, our data do indeed provide support for the efficacy of automated curtailment.</p></li><li><p><span class=\"number\">2) </span>The purported major errors they identify include: having only 1 year of post-treatment data, having only one control and one treatment site, using the control site for inference, choosing an arbitrary demarcation date between the ‘before’ and ‘after’ periods, analysing the number, rather than the rate, of fatalities, and not including data they consider pertinent. These claims are unsupported because all result from misreading our study, ignoring realities of causal inference in field ecology, or are matters of preference.</p></li><li><p><span class=\"number\">3) </span>Most importantly, we did not fail to include pertinent data and we provided sufficient criteria in the manuscript to explain inclusion of carcasses in our study. As stated in our previous study, the eagle carcasses we did not include were found either outside of search areas or incidentally, and thus did not meet criteria for inclusion. Further, Huso and Dalthorp present a standard for spatial and temporal replication that is inconsistent with their own recent work and many other studies in this field. Finally, their reanalysis of our data ignores the control site while including inappropriate data and thus is not suitable for inference.</p></li><li><p><span class=\"number\">4) </span>We appreciate the unusually thorough critique of our work provided by Huso and Dalthorp. Despite the major errors in their argument, this discussion provides a platform for further evaluation of our original work.</p></li><li><p><span class=\"number\">5) </span><i>Synthesis and applications</i>. We show that incorporating control site data and using our a priori demarcation of before and after periods into Huso and Dalthorp's reanalysis returns meaningful support for automated curtailment. We also direct the reader to an updated analysis that uses components of the approach Huso and Dalthorp suggest, along with additional data and a number of other analytical improvements, to validate and strengthen our original conclusions.</p></li></ul>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14490","usgsCitation":"McClure, C., Rolek, B., Dunn, L., McCabe, J.D., Martinson, L., and Katzner, T., 2023, Reanalysis ignores pertinent data, includes inappropriate observations, and disregards realities of applied ecology: Response to Huso and Dalthorp (2023): Journal of Applied Ecology, v. 60, no. 10, p. 2289-2294, https://doi.org/10.1111/1365-2664.14490.","productDescription":"6 p.","startPage":"2289","endPage":"2294","ipdsId":"IP-140772","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498035,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14490","text":"Publisher Index Page"},{"id":420653,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"10","noUsgsAuthors":false,"publicationDate":"2023-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"McClure, Christopher J.W.","contributorId":329536,"corporation":false,"usgs":false,"family":"McClure","given":"Christopher J.W.","affiliations":[{"id":36583,"text":"The Peregrine Fund","active":true,"usgs":false}],"preferred":false,"id":882565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rolek, Brian W.","contributorId":329537,"corporation":false,"usgs":false,"family":"Rolek","given":"Brian W.","affiliations":[{"id":36583,"text":"The Peregrine Fund","active":true,"usgs":false}],"preferred":false,"id":882566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunn, Leah","contributorId":329538,"corporation":false,"usgs":false,"family":"Dunn","given":"Leah","affiliations":[{"id":36583,"text":"The Peregrine Fund","active":true,"usgs":false}],"preferred":false,"id":882567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCabe, Jennifer D.","contributorId":329539,"corporation":false,"usgs":false,"family":"McCabe","given":"Jennifer","email":"","middleInitial":"D.","affiliations":[{"id":36583,"text":"The Peregrine Fund","active":true,"usgs":false}],"preferred":false,"id":882568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinson, Luke","contributorId":329540,"corporation":false,"usgs":false,"family":"Martinson","given":"Luke","affiliations":[{"id":51998,"text":"Western EcoSystems Technology","active":true,"usgs":false}],"preferred":false,"id":882569,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":882570,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70248352,"text":"70248352 - 2023 - Reanalysis indicates little evidence of reduction in eagle mortality rate by automated curtailment of wind turbines","interactions":[],"lastModifiedDate":"2023-10-11T15:54:15.036183","indexId":"70248352","displayToPublicDate":"2023-08-30T06:48:23","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Reanalysis indicates little evidence of reduction in eagle mortality rate by automated curtailment of wind turbines","docAbstract":"<ol class=\"\"><li>Unintended consequences of renewable energy development include collision-caused deaths of birds and bats. Energy companies may risk prosecution if protected species are among the casualties. Shutting down turbines during high collision-risk conditions could reduce mortality rates, and several companies are developing systems to identify such conditions.</li><li>A recent peer-reviewed article published in the Journal of Applied Ecology reported a remarkable ‘82% (75%–89%) reduction in the fatality rate’ of eagles at a wind energy facility due to a device marketed as Identiflight®—remarkable because of the impressive effect size and the extremely high level of precision. We show that reported results stem from four major errors, which, when corrected, give an unremarkable estimate of 50% (−159%, 89%) reduction (or possible increase) in the fatality rate.</li><li>The errors include the following: (i)<span>&nbsp;</span><i>Ignoring annual variation</i>. They compare the average number of eagle fatalities over 4 years before activation of Identiflight® to the number in a single year after, ignoring annual variation in fatalities. (ii)<span>&nbsp;</span><i>Unfounded causal inference</i>. Lack of replication (one treatment year at one site) is ignored, leading to unwarranted causal inference. (iii)<span>&nbsp;</span><i>Inflated effect size</i>. Effect size is inflated by assuming (without providing evidence) that the difference in fatality relative to the mean at a neighbouring site would be exactly repeated at the treatment site. Furthermore, the observed difference in fatalities at the control site depends strongly on the arbitrarily chosen date distinguishing the ‘Before’ and ‘After’ periods, yielding unreliable results. (iv)<span>&nbsp;</span><i>Inconsistency of data</i>. It is unclear why 7 of 42 reported eagle fatalities were not included in the data analyzed, potentially further inflating the estimated effect size.</li><li><i>Synthesis and applications</i>. The recent claim, published in the Journal of Applied Ecology, that ‘Eagle fatalities are reduced by automated curtailment of wind turbines’ is not supported by the data but stems from errors that led to strongly overstated effect size and precision, and unfounded inference. In theory, automated curtailment has obvious potential for reducing eagle fatalities, but several more years of data at several locations and appropriate statistical analyses will be required to evaluate its effectiveness and to inform management prescriptions involving this technology.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14196","usgsCitation":"Huso, M., and Dalthorp, D., 2023, Reanalysis indicates little evidence of reduction in eagle mortality rate by automated curtailment of wind turbines: Journal of Applied Ecology, v. 60, no. 10, p. 2282-2288, https://doi.org/10.1111/1365-2664.14196.","productDescription":"7 p.","startPage":"2282","endPage":"2288","ipdsId":"IP-134927","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":497976,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14196","text":"Publisher Index Page"},{"id":420652,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"10","noUsgsAuthors":false,"publicationDate":"2023-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Huso, Manuela 0000-0003-4687-6625 mhuso@usgs.gov","orcid":"https://orcid.org/0000-0003-4687-6625","contributorId":223969,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":882658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalthorp, Daniel","contributorId":329587,"corporation":false,"usgs":false,"family":"Dalthorp","given":"Daniel","affiliations":[{"id":78668,"text":"PowerStats","active":true,"usgs":false}],"preferred":false,"id":882659,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}