{"pageNumber":"272","pageRowStart":"6775","pageSize":"25","recordCount":184752,"records":[{"id":70243907,"text":"70243907 - 2023 - Establishing an in vitro model to assess the toxicity of 6PPD-quinone and other tire wear transformation products","interactions":[],"lastModifiedDate":"2023-06-27T16:58:24.03837","indexId":"70243907","displayToPublicDate":"2023-05-25T08:08:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7485,"text":"Environmental Science and Technology Letters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Establishing an <i>in vitro</i> model to assess the toxicity of 6PPD-quinone and other tire wear transformation products","title":"Establishing an in vitro model to assess the toxicity of 6PPD-quinone and other tire wear transformation products","docAbstract":"<p><span>The tire wear transformation product 6PPD-quinone (6PPDQ) has been implicated as the causative factor for broad scale mortality events for coho salmon in the Pacific Northwest. Highly variable sensitivity to 6PPDQ in closely related salmonids complicates efforts to evaluate the broader toxicological impacts to aquatic ecosystems. Our goals were to (1) validate the large range of&nbsp;</span><i>in vivo</i><span>&nbsp;species sensitivities reported for coho, Chinook, and sockeye salmon and (2) develop an&nbsp;</span><i>in vitro</i><span>&nbsp;platform for assessing 6PPDQ toxicity.&nbsp;</span><i>In vivo</i><span>&nbsp;studies confirmed the acute sensitivity of juvenile coho (12 h LC</span><sub>50</sub><span>&nbsp;= 80.4 ng/L) and demonstrated that sockeye salmon were not vulnerable to mortality. Chinook salmon were sensitive to 6PPDQ mortality at initial concentrations &gt;25 μg/L, ∼10-fold greater than reported environmental measurements.&nbsp;</span><i>In vitro</i><span>, the coho salmon cell line CSE-119 was acutely sensitive to 6PPDQ (metabolic EC</span><sub>50</sub><span>&nbsp;= 7.9 μg/L, cytotoxicity EC</span><sub>50</sub><span>&nbsp;= 6.1 μg/L). Analogous Chinook (CHSE-214) and sockeye salmon (SSE-5) cell lines were nonresponsive in both assays, and rainbow trout RTG-2 cells began showing metabolic effects at 68 μg/L (EC</span><sub>5</sub><span>). Recreation of species-specific 6PPDQ sensitivity&nbsp;</span><i>in vitro</i><span>&nbsp;implicates conserved modes of action in CSE-119 that could be utilized for mechanistic studies of 6PPDQ toxicity and screening of other PPD transformation products.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.estlett.3c00196","usgsCitation":"Greer, J.B., Dalsky, E.M., Lane, R.F., and Hansen, J.D., 2023, Establishing an in vitro model to assess the toxicity of 6PPD-quinone and other tire wear transformation products: Environmental Science and Technology Letters, v. 10, no. 6, p. 533-537, https://doi.org/10.1021/acs.estlett.3c00196.","productDescription":"5 p.","startPage":"533","endPage":"537","ipdsId":"IP-151440","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":443356,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.estlett.3c00196","text":"Publisher Index Page"},{"id":435317,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98HOI3I","text":"USGS data release","linkHelpText":"Assessing cell line models for species differences in 6PPD-quinone sensitivity"},{"id":417424,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":873696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalsky, Ellie Maureen 0000-0001-8299-7198","orcid":"https://orcid.org/0000-0001-8299-7198","contributorId":265182,"corporation":false,"usgs":true,"family":"Dalsky","given":"Ellie","email":"","middleInitial":"Maureen","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":873697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":873698,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, John D. 0000-0002-3006-2734","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":220725,"corporation":false,"usgs":true,"family":"Hansen","given":"John","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":873699,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243931,"text":"70243931 - 2023 - Tree symbioses sustain nitrogen fixation despite excess nitrogen supply","interactions":[],"lastModifiedDate":"2023-05-25T13:07:02.863717","indexId":"70243931","displayToPublicDate":"2023-05-25T07:35:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Tree symbioses sustain nitrogen fixation despite excess nitrogen supply","docAbstract":"<p><span>Symbiotic nitrogen fixation (SNF) is a key ecological process whose impact depends on the strategy of SNF regulation—the degree to which rates of SNF change in response to limitation by N versus other resources. SNF that is obligate or exhibits incomplete downregulation can result in excess N fixation, whereas a facultative SNF strategy does not. We hypothesized that tree-based SNF strategies differed by latitude (tropical vs. temperate) and symbiotic type (actinorhizal vs. rhizobial). Specifically, we expected tropical rhizobial symbioses to display strongly facultative SNF as an explanation of their success in low-latitude forests. In this study we used&nbsp;</span><sup>15</sup><span>N isotope dilution field experiments in New York, Oregon, and Hawaii to determine SNF strategies in six N-fixing tree symbioses. Nitrogen fertilization with +10 and +15 g N m</span><sup>−2</sup><span> year</span><sup>−1</sup><span>&nbsp;for 4–5 years alleviated N limitation in all taxa, paving the way to determine SNF strategies. Contrary to our hypothesis, all six of the symbioses we studied sustained SNF even at high N.&nbsp;</span><i>Robinia pseudoacacia</i><span>&nbsp;(temperate rhizobial) fixed 91% of its N (%N</span><sub>dfa</sub><span>) in controls, compared to 64% and 59% in the +10 and +15 g N m</span><sup>−2</sup><span> year</span><sup>−1</sup><span>&nbsp;treatments. For&nbsp;</span><i>Alnus rubra</i><span>&nbsp;(temperate actinorhizal), %N</span><sub>dfa</sub><span>&nbsp;was 95%, 70%, and 60%. For the tropical species, %N</span><sub>dfa</sub><span>&nbsp;was 86%, 80%, and 82% for&nbsp;</span><i>Gliricidia sepium</i><span>&nbsp;(rhizobial); 79%, 69%, and 67% for&nbsp;</span><i>Casuarina equisetifolia</i><span>&nbsp;(actinorhizal); 91%, 42%, and 67% for&nbsp;</span><i>Acacia koa</i><span>&nbsp;(rhizobial); and 60%, 51%, and 19% for&nbsp;</span><i>Morella faya</i><span>&nbsp;(actinorhizal). Fertilization with phosphorus did not stimulate tree growth or SNF. These results suggest that the latitudinal abundance distribution of N-fixing trees is not caused by a shift in SNF strategy. They also help explain the excess N in many forests where N fixers are common.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecm.1562","usgsCitation":"Menge, D., Wolf, A.A., Funk, J.L., Perakis, S.S., Akana, P.R., Arkebauer, R., Bytnerowicz, T.A., Carreras Pereira, K., Huddell, A.M., Kou-Giesbrecht, S., and Ortiz, S.K., 2023, Tree symbioses sustain nitrogen fixation despite excess nitrogen supply: Ecological Monographs, v. 93, no. 2, e1562, 27 p., https://doi.org/10.1002/ecm.1562.","productDescription":"e1562, 27 p.","ipdsId":"IP-141883","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":443358,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecm.1562","text":"Publisher Index Page"},{"id":417423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i, New York, Oregon","otherGeospatial":"Coast Range, Big Island, Black Rock Forest, Starker Forest, Volcano Research Station, Waiakea Research Station","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.71842584935,\n              19.73056374053604\n            ],\n            [\n              -155.71842584935,\n              19.280505299034388\n            ],\n            [\n              -155.08027981336272,\n              19.280505299034388\n            ],\n            [\n              -155.08027981336272,\n              19.73056374053604\n            ],\n            [\n              -155.71842584935,\n              19.73056374053604\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n   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A.","contributorId":190685,"corporation":false,"usgs":false,"family":"Wolf","given":"Amelia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":873781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funk, Jennifer L.","contributorId":260668,"corporation":false,"usgs":false,"family":"Funk","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":873782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":873783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Akana, Palani R.","contributorId":305753,"corporation":false,"usgs":false,"family":"Akana","given":"Palani","email":"","middleInitial":"R.","affiliations":[{"id":52786,"text":"Columbia U","active":true,"usgs":false}],"preferred":false,"id":873784,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arkebauer, Rachel","contributorId":305755,"corporation":false,"usgs":false,"family":"Arkebauer","given":"Rachel","email":"","affiliations":[{"id":52786,"text":"Columbia U","active":true,"usgs":false}],"preferred":false,"id":873785,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bytnerowicz, Thomas A.","contributorId":305756,"corporation":false,"usgs":false,"family":"Bytnerowicz","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":34217,"text":"UT Austin","active":true,"usgs":false}],"preferred":false,"id":873786,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carreras Pereira, K. A.","contributorId":305758,"corporation":false,"usgs":false,"family":"Carreras Pereira","given":"K. A.","affiliations":[{"id":52786,"text":"Columbia U","active":true,"usgs":false}],"preferred":false,"id":873787,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huddell, Alexandra M.","contributorId":305761,"corporation":false,"usgs":false,"family":"Huddell","given":"Alexandra","email":"","middleInitial":"M.","affiliations":[{"id":48904,"text":"U Maryland","active":true,"usgs":false}],"preferred":false,"id":873788,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kou-Giesbrecht, Sian 0000-0002-4086-0561","orcid":"https://orcid.org/0000-0002-4086-0561","contributorId":261258,"corporation":false,"usgs":false,"family":"Kou-Giesbrecht","given":"Sian","email":"","affiliations":[{"id":52786,"text":"Columbia U","active":true,"usgs":false}],"preferred":false,"id":873789,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ortiz, Sarah K.","contributorId":305763,"corporation":false,"usgs":false,"family":"Ortiz","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":34217,"text":"UT Austin","active":true,"usgs":false}],"preferred":false,"id":873790,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70244013,"text":"70244013 - 2023 - Is now the time? Review of genetic rescue as a conservation tool for brook trout","interactions":[],"lastModifiedDate":"2023-05-31T12:26:34.070576","indexId":"70244013","displayToPublicDate":"2023-05-25T07:25:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Is now the time? Review of genetic rescue as a conservation tool for brook trout","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Brook trout populations have been declining throughout their native range in the east coast of the United States. Many populations are now distributed in small, isolated habitat patches where low genetic diversity and high rates of inbreeding reduce contemporary viability and long-term adaptive potential. Although human-assisted gene flow could theoretically improve conservation outcomes through genetic rescue, there is widespread hesitancy to use this tool to support brook trout conservation. Here, we review the major uncertainties that have limited genetic rescue from being considered as a viable conservation tool for isolated brook trout populations and compare the risks of genetic rescue with other management alternatives. Drawing on theoretical and empirical studies, we discuss methods for implementing genetic rescue in brook trout that could yield long-term evolutionary benefits while avoiding negative fitness effects associated with outbreeding depression and the spread of maladapted alleles. We also highlight the potential for future collaborative efforts to accelerate our understanding of genetic rescue as a viable tool for conservation. Ultimately, while we acknowledge that genetic rescue is not without risk, we emphasize the merits that this tool offers for protecting and propagating adaptive potential and improving species' resilience to rapid environmental change.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.10142","usgsCitation":"White, S.L., Rash, J.M., and Kazyak, D.C., 2023, Is now the time? Review of genetic rescue as a conservation tool for brook trout: Ecology and Evolution, v. 13, no. 5, e10142, 12 p., https://doi.org/10.1002/ece3.10142.","productDescription":"e10142, 12 p.","ipdsId":"IP-143317","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443360,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.10142","text":"Publisher Index Page"},{"id":417571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rash, Jacob M","contributorId":218128,"corporation":false,"usgs":false,"family":"Rash","given":"Jacob","email":"","middleInitial":"M","affiliations":[{"id":39760,"text":"Division of Inland Fisheries, North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":874147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874148,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243912,"text":"70243912 - 2023 - The truth is in the stream: Use of tracer techniques and synoptic sampling to evaluate metal loading and remedial options in a hydrologically complex setting","interactions":[],"lastModifiedDate":"2023-05-25T12:35:05.358711","indexId":"70243912","displayToPublicDate":"2023-05-25T07:06:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The truth is in the stream: Use of tracer techniques and synoptic sampling to evaluate metal loading and remedial options in a hydrologically complex setting","docAbstract":"Two synoptic sampling campaigns were conducted to quantify metal loading to Illinois Gulch, a\nsmall stream affected by historical mining activities. The first campaign was designed to\ndetermine the degree to which Illinois Gulch loses water to the underlying mine workings, and to\ndetermine the effect of these losses on observed metal loads. The second campaign was designed to evaluate metal loading within Iron Springs, a subwatershed that was responsible for the majority of the metal loading observed during the first campaign. A continuous, constant-rate\ninjection of a conservative tracer was initiated prior to both sampling campaigns and maintained\nthroughout the duration of each study. Tracer concentrations were subsequently used to determine streamflow in gaining stream reaches using the tracer-dilution method, and as an indicator of hydrologic connections between Illinois Gulch and subsurface mine workings. Streamflow losses to the mine workings were quantified during the first campaign using a series of slug additions in which specific conductivity readings were used as a surrogate for tracer concentration. Data from the continuous injections and slug additions were combined to develop spatial streamflow profiles along each study reach. Streamflow estimates were multiplied by observed metal concentrations to yield spatial profiles of metal load that were in turn used to quantify and rank metal sources. Study results indicate that Illinois Gulch loses water to subsurface mine workings and suggest that remedial measures that reduce flow loss (e.g. channel lining) could lessen metal loading from the Iron Springs area. The primary sources of metals to Illinois Gulch include diffuse springs and groundwater, and a draining mine adit. Diffuse sources were determined to have a much larger effect on water quality than other sources that had been the subject of previous investigations due to their visual appearance, supporting the idea that “the truth is in the stream”. The overall approach of combining spatially intensive sampling with a rigorous hydrological characterization is applicable to non-mining constituents such as nutrients and pesticides.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.162458","usgsCitation":"Runkel, R.L., Verplanck, P., Walton-Day, K., McCleskey, R., and Byrne, P., 2023, The truth is in the stream: Use of tracer techniques and synoptic sampling to evaluate metal loading and remedial options in a hydrologically complex setting: Science of the Total Environment, v. 876, 162458, 15 p., https://doi.org/10.1016/j.scitotenv.2023.162458.","productDescription":"162458, 15 p.","ipdsId":"IP-147276","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":498440,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://orcid.org/0000-0002-2699-052X","text":"External Repository"},{"id":417422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Breckenridge District, Illinois Gulch","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.03588092628337,\n              39.47184696761008\n            ],\n            [\n              -106.03586531996221,\n              39.47158193097033\n            ],\n            [\n              -106.0351162165624,\n              39.47134098769499\n            ],\n            [\n              -106.03369604136695,\n              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   }\n  ]\n}","volume":"876","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verplanck, Philip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":212813,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","middleInitial":"L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":873717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":184043,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":873719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Byrne, Patrick","contributorId":192845,"corporation":false,"usgs":false,"family":"Byrne","given":"Patrick","affiliations":[],"preferred":false,"id":873720,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243938,"text":"70243938 - 2023 - Application of habitat association models across regions: Useful explanatory power retained in wetland bird case study","interactions":[],"lastModifiedDate":"2023-05-25T12:05:21.55694","indexId":"70243938","displayToPublicDate":"2023-05-25T06:46:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Application of habitat association models across regions: Useful explanatory power retained in wetland bird case study","docAbstract":"<p><span>Species often exhibit regionally specific habitat associations, so habitat association models developed in one region might not be accurate or even appropriate for other regions. Three programs to survey wetland-breeding birds covering (respectively) Great Lakes coastal wetlands, inland Great Lakes wetlands, and the Prairie Pothole Region offer an opportunity to test whether regionally specific models of habitat use by wetland-obligate breeding birds are transferrable across regions. We first developed independent, regional population density models for four species of wetland-obligate birds: Pied-billed Grebe (</span><i>Podilymbus podiceps</i><span>), Virginia Rail (</span><i>Rallus limicola</i><span>), Sora (</span><i>Porzana carolina</i><span>), and American Bittern (</span><i>Botaurus lentiginosus</i><span>). We then used adjusted pseudo-</span><i>R</i><sup>2</sup><span>&nbsp;values to compare the amount of variation explained by each model when applied to data collected in each of the three regions. Although certain habitat characteristics, such as emergent vegetation and wetland area, were consistently important across regions, models for each species differed by region—both in variables selected for inclusion and often in the directionality of relationships for common variables—indicating that habitat associations for these species are regionally specific. When we applied a model developed in one region to data collected in another region, we found that explanatory power was reduced in most (71%) models. Therefore, we suggest that ecological analyses should emphasize regionally specific habitat association models whenever possible. Nonetheless, models created from inland Great Lakes wetland data had higher median explanatory power when applied to other regions, and the amount of explanatory power lost by other transferred models was relatively small. Thus, while regionally specific habitat association models are preferable, in the absence of reliable regional data, habitat association models developed in one region may be applied to another region, but the results need to be cautiously interpreted. Additionally, we found that median explanatory power was higher when local-scale habitat characteristics were included in the models, indicating that regionally specific models should ideally be based on a combination of local- and landscape-scale habitat characteristics. Conservation practitioners can leverage such regionally specific models and associated monitoring data to help prioritize areas for management activities that contribute to regional conservation efforts.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4499","usgsCitation":"Elliott, L.H., Bracey, A.M., Niemi, G.J., Johnson, D., Gehring, T.M., Gnass Giese, E.E., Fiorino, G.E., Howe, R.W., Lawrence, G.A., Norment, C.J., Tozer, D.C., and Igl, L., 2023, Application of habitat association models across regions: Useful explanatory power retained in wetland bird case study: Ecosphere, v. 14, no. 5, e4499, 19 p., https://doi.org/10.1002/ecs2.4499.","productDescription":"e4499, 19 p.","ipdsId":"IP-109710","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":443363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4499","text":"Publisher Index Page"},{"id":417421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Illinois, Indiana, Michigan, Minnesota, New York, North Dakota, Ohio, Ontario, Pennsylvania, Quebec, South Dakota, Wisconsin","otherGeospatial":"Lake Erie, Lake Huron, Lake Michigan, Lake Ontario, Lake Superior, Laurentian Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.01926342701653,\n              48.97547629796165\n            ],\n            [\n              -99.04380012039643,\n              42.97080843188181\n            ],\n            [\n              -98.11748437017276,\n              42.47910814670226\n            ],\n            [\n              -97.42553144305286,\n              42.80200525611974\n            ],\n 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     -104.01926342701653,\n              48.97547629796165\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, Lisa H.","contributorId":199322,"corporation":false,"usgs":false,"family":"Elliott","given":"Lisa","email":"","middleInitial":"H.","affiliations":[{"id":7201,"text":"University of Minnesota-St. Paul","active":true,"usgs":false}],"preferred":false,"id":873804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bracey, Annie M. 0000-0001-7797-7555","orcid":"https://orcid.org/0000-0001-7797-7555","contributorId":305771,"corporation":false,"usgs":false,"family":"Bracey","given":"Annie","email":"","middleInitial":"M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":873805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niemi, Gerald J.","contributorId":71904,"corporation":false,"usgs":true,"family":"Niemi","given":"Gerald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":873806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":220516,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":873807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gehring, Thomas M.","contributorId":305782,"corporation":false,"usgs":false,"family":"Gehring","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":873821,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gnass Giese, Erin E. 0000-0002-0707-354X","orcid":"https://orcid.org/0000-0002-0707-354X","contributorId":305774,"corporation":false,"usgs":false,"family":"Gnass Giese","given":"Erin","email":"","middleInitial":"E.","affiliations":[{"id":35036,"text":"University of Wisconsin-Green Bay","active":true,"usgs":false}],"preferred":false,"id":873809,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fiorino, Giuseppe E. 0000-0002-1569-0767","orcid":"https://orcid.org/0000-0002-1569-0767","contributorId":305775,"corporation":false,"usgs":false,"family":"Fiorino","given":"Giuseppe","email":"","middleInitial":"E.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":873810,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Howe, Robert W.","contributorId":197823,"corporation":false,"usgs":false,"family":"Howe","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":873811,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lawrence, Gregory A. 0000-0001-8854-8123","orcid":"https://orcid.org/0000-0001-8854-8123","contributorId":305777,"corporation":false,"usgs":false,"family":"Lawrence","given":"Gregory","middleInitial":"A.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":873812,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Norment, Christopher J. 0000-0002-5080-0271","orcid":"https://orcid.org/0000-0002-5080-0271","contributorId":305778,"corporation":false,"usgs":false,"family":"Norment","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":66292,"text":"State University of New York-Brockport","active":true,"usgs":false}],"preferred":false,"id":873813,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tozer, Douglas C. 0000-0001-9516-876X","orcid":"https://orcid.org/0000-0001-9516-876X","contributorId":305779,"corporation":false,"usgs":false,"family":"Tozer","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":66293,"text":"Long Point Waterfowl and Wetlands Research Program, Birds Canada","active":true,"usgs":false}],"preferred":false,"id":873814,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Igl, Lawrence 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":221711,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":873815,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70244170,"text":"70244170 - 2023 - Introduction to the digitization of seismic data: A user’s guide","interactions":[],"lastModifiedDate":"2023-06-28T15:26:29.061119","indexId":"70244170","displayToPublicDate":"2023-05-25T06:46:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to the digitization of seismic data: A user’s guide","docAbstract":"<div id=\"136776262\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Modern seismic data are collected, distributed, and analyzed using digital formats, and this has become a standard for the field. Although most modern seismometers still make use of analog electronic circuits, their data are converted from an analog voltage output to time‐tagged counts by way of digitization. Although much of the digitization process is not complicated to conceptualize, there is a fair bit of jargon in digitizer specifications, and a few pitfalls that can arise in the processes of recording and analyzing ground‐motion data. In this article, we review some of the fundamental physical properties of data acquisition systems and the basic steps in digitizing data from an analog instrument (specifically a seismometer). We then briefly discuss the digitization process and some of the key properties needed to make these data useful for seismological applications. Finally, we discuss some of the filtering processes that naturally arise from digitization and how it can affect the processing workflow. The end goal is to provide a user guide that will enable seismologists to have a working knowledge of the digitization process. We focus on aspects central to seismological applications and have tried to avoid getting bogged down in signal processing formalism.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220220158","usgsCitation":"Ringler, A.T., Anthony, R.E., Bastien, P., Pascale, A., and Merchant, B.J., 2023, Introduction to the digitization of seismic data: A user’s guide: Seismological Research Letters, v. 94, no. 4, p. 2060-2074, https://doi.org/10.1785/0220220158.","productDescription":"15 p.","startPage":"2060","endPage":"2074","ipdsId":"IP-140320","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":417805,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":874719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":874720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bastien, Patrick 0000-0001-7222-3906","orcid":"https://orcid.org/0000-0001-7222-3906","contributorId":222001,"corporation":false,"usgs":true,"family":"Bastien","given":"Patrick","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":874721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pascale, Adam","contributorId":306086,"corporation":false,"usgs":false,"family":"Pascale","given":"Adam","email":"","affiliations":[{"id":66368,"text":"Seismology Research Centre","active":true,"usgs":false}],"preferred":false,"id":874722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merchant, Bion J.","contributorId":306087,"corporation":false,"usgs":false,"family":"Merchant","given":"Bion","email":"","middleInitial":"J.","affiliations":[{"id":34829,"text":"Sandia National Laboratories","active":true,"usgs":false}],"preferred":false,"id":874723,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243926,"text":"70243926 - 2023 - Gene expression and wildlife health: Varied interpretations based on perspective","interactions":[],"lastModifiedDate":"2023-05-25T11:45:46.172043","indexId":"70243926","displayToPublicDate":"2023-05-25T06:33:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Gene expression and wildlife health: Varied interpretations based on perspective","docAbstract":"<p><span>We evaluated wildlife population health from the perspective of statistical means vs. variances. We outlined the choices necessary to provide the framework for our study. These consisted of spatial and temporal boundaries (e.g., choice of sentinel species, populations, time frame), measurement techniques (molecular to population level), and appropriate statistical analyses. We chose to assess the health of 19 sea otter populations, located in the north Pacific from the Aleutian Islands, AK, to Santa Barbara, CA, and varying in population growth rates and length of occupancy. Our focal metric was gene expression (i.e., mRNA transcripts) data that we had previously generated across sea otter populations as a measure of population health. We used statistical methods with different approaches (i.e., means vs. variances) and examined the subsequent interpretive outcomes and how these influence our assessment of “health.” Interpretations based on analyses using variances versus means overlapped to some degree. In general, sea otter populations with low variation in gene expression were limited by food resources and at or near carrying capacity. In populations where the variation in gene expression was moderate or high, four out of five populations were increasing in abundance, or had been recently increasing. Where we had additional information on sources of stressors at the level of the population, we were able to draw inferences from those stressors to specific gene expression results. For example, gene expression patterns of sea otters from Western Prince William Sound were consistent with long term exposure to petroleum hydrocarbons, whereas in Kachemak Bay, patterns were consistent with exposure to algal toxins. Ultimately, determination of population or ecosystem health will be most informative when multiple metrics are examined across disciplines in the context of specific scenarios and goals.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2023.1157700","usgsCitation":"Bowen, L., Yee, J.L., Bodkin, J., Waters-Dynes, S.C., Murray, M.J., Coletti, H., Ballachey, B.E., Monson, D., and Miles, A.K., 2023, Gene expression and wildlife health: Varied interpretations based on perspective: Frontiers in Ecology and Evolution, v. 11, 1157700, 18 p., https://doi.org/10.3389/fevo.2023.1157700.","productDescription":"1157700, 18 p.","ipdsId":"IP-152336","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":443368,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2023.1157700","text":"Publisher 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,{"id":70256461,"text":"70256461 - 2023 - Flight capacity and response to habitat drying of endemic diving beetles (Coleoptera: Dytiscidae) in Arkansas (USA)","interactions":[],"lastModifiedDate":"2024-08-05T20:55:08.556983","indexId":"70256461","displayToPublicDate":"2023-05-24T15:48:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18324,"text":"Hydrobiology","active":true,"publicationSubtype":{"id":10}},"title":"Flight capacity and response to habitat drying of endemic diving beetles (Coleoptera: Dytiscidae) in Arkansas (USA)","docAbstract":"<p><span>The ability to colonize new habitat is essential for wild populations affected by disturbance or other forms of habitat change. For aquatic insects in small streams, overland flight is an important strategy for dispersal when barriers to in-stream migration exist and when populations are isolated in upland habitats. Two Ozark-endemic water beetles (</span><i><span class=\"html-italic\">Heterosternuta sulphuria</span></i><span>&nbsp;and&nbsp;</span><i><span class=\"html-italic\">Heterosternuta phoebeae</span></i><span>) have shown little overlap in distributions, with the former frequently occurring in small upland watersheds and the latter occurring in aquatic habitats farther downstream in larger watersheds. Because&nbsp;</span><i><span class=\"html-italic\">H. sulphuria</span></i><span>&nbsp;has been associated with perennial aquatic habitats, we hypothesized that&nbsp;</span><i><span class=\"html-italic\">H. sulphuria</span></i><span>&nbsp;individuals could exhibit low capacity for flight, thereby affecting population distributions over time. Laboratory flight observations showed that zero individuals of&nbsp;</span><i><span class=\"html-italic\">H. sulphuria</span></i><span>&nbsp;flew (</span><span class=\"html-italic\">n</span><span>&nbsp;= 67), whereas 17 of 76 individuals of&nbsp;</span><i><span class=\"html-italic\">H. phoebeae</span></i><span>&nbsp;were observed to fly. Stream habitat drying experiments provided further evidence of the weak capacity for flight and overland migration of&nbsp;</span><i><span class=\"html-italic\">H. sulphuria</span></i><span>, with low probabilities of survivorship in microhabitats exposed to drying. Weak flight capacity and apparent intolerance to habitat drying have important implications for the evolutionary history and conservation of&nbsp;</span><i><span class=\"html-italic\">H. sulphuria</span></i><span>&nbsp;in small Ozark streams exposed to variable flow regimes and stream margins vulnerable to disturbances.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/hydrobiology2020023","usgsCitation":"Longing, S., and Magoulick, D.D., 2023, Flight capacity and response to habitat drying of endemic diving beetles (Coleoptera: Dytiscidae) in Arkansas (USA): Hydrobiology, v. 2, no. 2, p. 354-362, https://doi.org/10.3390/hydrobiology2020023.","productDescription":"9 p.","startPage":"354","endPage":"362","ipdsId":"IP-148030","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":443372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrobiology2020023","text":"Publisher Index 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,{"id":70243887,"text":"70243887 - 2023 - Recognizing political influences in participatory social-ecological systems modeling","interactions":[],"lastModifiedDate":"2023-05-24T19:19:55.098091","indexId":"70243887","displayToPublicDate":"2023-05-24T14:05:52","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14448,"text":"Socio-Environmental Systems Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Recognizing political influences in participatory social-ecological systems modeling","docAbstract":"<p><span>Stakeholder participation in social-ecological systems (SES) modeling is increasingly considered a desirable way to elicit diverse sources of knowledge about SES behavior and to promote inclusive decision-making in SES. Understanding how participatory modeling processes function in the context of long-term adaptive management of SES may allow for better design of participatory processes to achieve the intended outcomes of inclusionary knowledge, representativeness, and social learning, while avoiding unintended outcomes. Long-term adaptive management contexts often include political influences -- attempts to shift or preserve power structures and authority, and efforts to represent the political and economic interests of stakeholders -- in the computer models that are used to shape policy making and implementation. In this research, we examine a period that included a major transition in the watershed model used for management of the Chesapeake Bay in the United States. The Chesapeake Bay watershed model has been in development since the 1980s, and is considered by many to be an exemplary case of participatory modeling. We use documentary analysis and interviews with participants involved in the model application and development transition to reveal a variety of ways in which participatory modeling may be subject to different kinds of political influences, some of which resulted in unintended outcomes, including: perceptions of difficulty updating the model in substantive ways, “gaming” of the model/participatory process by stakeholders, and increasing resistance against considering uncertainty in the system not captured by the model. This research suggests unintended or negative outcomes may be associated with both participatory decision-making and stakeholder learning even though they are so often touted as the benefits of participatory modeling. We end with a hypothesis that further development of a theory of computer model governance to bridge model impact and broader theories of environmental governance at the science-policy interface may result in improved SES modeling outcomes.</span></p>","language":"English","publisher":"International Environmental Modelling and Software Society","doi":"10.18174/sesmo.18509","usgsCitation":"Lim, T.C., Glynn, P.D., Shenk, G.W., Bitterman, P., Guillaume, J., Little, J., and Webster, D.G., 2023, Recognizing political influences in participatory social-ecological systems modeling: Socio-Environmental Systems Modelling, v. 5, 18509, 25 p., https://doi.org/10.18174/sesmo.18509.","productDescription":"18509, 25 p.","ipdsId":"IP-147282","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":443374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.18174/sesmo.18509","text":"Publisher Index Page"},{"id":417408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.51635702888042,\n              37.912980532966955\n            ],\n            [\n              -75.71280241735982,\n              38.58150889183236\n            ],\n            [\n              -75.95290230901038,\n              38.64120407293515\n            ],\n            [\n              -75.77828418591723,\n              39.269223836039686\n            ],\n            [\n              -75.64732059359784,\n              39.57273156992801\n            ],\n            [\n              -75.86559324746412,\n              39.723989493914246\n            ],\n            [\n              -76.17117496287733,\n              39.757557416910515\n            ],\n            [\n              -76.520411209063,\n              39.438002411462605\n            ],\n            [\n              -76.65137480138303,\n              39.18468171617553\n            ],\n            [\n              -76.79325202639652,\n              38.717881959277776\n            ],\n            [\n              -77.08792010911627,\n              38.74342299584799\n            ],\n            [\n              -77.39350182452881,\n              38.59003985313274\n            ],\n            [\n              -77.38258819183537,\n              37.12528463444586\n            ],\n            [\n              -76.11660679941075,\n              36.74144568362692\n            ],\n            [\n              -75.51635702888042,\n              37.912980532966955\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"5","noUsgsAuthors":false,"publicationDate":"2023-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Lim, Theodore C. 0000-0002-7896-4964","orcid":"https://orcid.org/0000-0002-7896-4964","contributorId":305702,"corporation":false,"usgs":true,"family":"Lim","given":"Theodore","email":"","middleInitial":"C.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":873621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glynn, Pierre D. 0000-0001-8804-7003","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":305703,"corporation":false,"usgs":false,"family":"Glynn","given":"Pierre","email":"","middleInitial":"D.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":873622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shenk, Gary W. 0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":873623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bitterman, Patrick 0000-0002-2715-606X","orcid":"https://orcid.org/0000-0002-2715-606X","contributorId":305704,"corporation":false,"usgs":false,"family":"Bitterman","given":"Patrick","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":873624,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guillaume, Joseph H. A.","contributorId":248835,"corporation":false,"usgs":false,"family":"Guillaume","given":"Joseph H. A.","affiliations":[{"id":50037,"text":"Water and Development Research Group, Aalto University, Finland","active":true,"usgs":false}],"preferred":false,"id":873625,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Little, John","contributorId":305705,"corporation":false,"usgs":false,"family":"Little","given":"John","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":873626,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Webster, D. G.","contributorId":305706,"corporation":false,"usgs":false,"family":"Webster","given":"D.","email":"","middleInitial":"G.","affiliations":[{"id":36404,"text":"Dartmouth University","active":true,"usgs":false}],"preferred":false,"id":873627,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70243873,"text":"70243873 - 2023 - Sensitivity of the Penman-Monteith reference evapotranspiration equation to meteorological variables for Puerto Rico","interactions":[],"lastModifiedDate":"2023-05-24T19:04:03.81162","indexId":"70243873","displayToPublicDate":"2023-05-24T13:55:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10778,"text":"Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of the Penman-Monteith reference evapotranspiration equation to meteorological variables for Puerto Rico","docAbstract":"<p><span>Spatiotemporal variations in reference evapotranspiration (</span><span class=\"html-italic\"><i>ET<sub>o</sub></i>)</span><span>&nbsp;are sensitive to the meteorological data used in its estimation. The sensitivity of the ASCE standardized&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;equation to meteorological variables from GOES-PRWEB dataset was evaluated for the island of Puerto Rico. Island wide,&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;is most sensitive to daily mean relative humidity (</span><i><span class=\"html-italic\">RH<sub>mean</sub></span></i><span>), followed by solar radiation, daily maximum (</span><i><span class=\"html-italic\">T<sub>max</sub></span></i><span>) and minimum (</span><i><span class=\"html-italic\">T<sub>min</sub></span></i><span>) air temperatures, and wind speed with average absolute relative sensitivity coefficients (SCs) of 0.98, 0.57, 0.50, 0.27, and 0.12, respectively. The derived SCs guided the prioritization of bias correction of meteorological data for&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;estimation from two downscaled climate models (CNRM and CESM). The SCs were applied to evaluate how meteorological variables contribute to model errors and projected future changes in&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;from 1985–2005 to 2040–2060 at irrigated farms in the south. Both models project a 5.6% average increase in annual&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;due to projected increases in&nbsp;</span><i><span class=\"html-italic\">T<sub>max</sub></span></i><span>&nbsp;and&nbsp;</span><i><span class=\"html-italic\">T<sub>min</sub></span></i><span>&nbsp;and a decrease in&nbsp;</span><i><span class=\"html-italic\">RH<sub>mean</sub></span></i><span>. Despite&nbsp;</span><span class=\"html-italic\">ET<sub>o</sub></span><span>&nbsp;being most sensitive to relative changes in&nbsp;</span><i><span class=\"html-italic\">RH<sub>mean</sub></span></i><span>, the contributions from&nbsp;</span><i><span class=\"html-italic\">RH<sub>mean</sub></span></i><span>,&nbsp;</span><i><span class=\"html-italic\">T<sub>max</sub></span></i><span>, and&nbsp;</span><i><span class=\"html-italic\">T<sub>min</sub></span></i><span>&nbsp;to future changes in&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;are similar. CESM projects increases in&nbsp;</span><i><span class=\"html-italic\">ET<sub>o</sub></span></i><span>&nbsp;in March, November, and December, increasing the potential for crop water stress. Study limitations are discussed.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/hydrology10050101","usgsCitation":"Irizarry-Ortiz, M.M., and Harmsen, E., 2023, Sensitivity of the Penman-Monteith reference evapotranspiration equation to meteorological variables for Puerto Rico: Hydrology, v. 10, no. 5, 101, 28 p., https://doi.org/10.3390/hydrology10050101.","productDescription":"101, 28 p.","ipdsId":"IP-145068","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":443376,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrology10050101","text":"Publisher Index Page"},{"id":417407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto 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,{"id":70243904,"text":"70243904 - 2023 - Assessing individual movement, habitat use, and behavior of non-breeding marine birds in relation to prey availability in the US Atlantic","interactions":[],"lastModifiedDate":"2023-05-24T18:53:49.243988","indexId":"70243904","displayToPublicDate":"2023-05-24T13:24:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Assessing individual movement, habitat use, and behavior of non-breeding marine birds in relation to prey availability in the US Atlantic","docAbstract":"<p><span>Resource availability is a key factor driving marine bird movements and distributions, but direct information on prey availability is difficult to obtain at relevant scales. We present novel methods for describing multi-scale trophic associations, combining movement analyses of marine birds with estimates of forage fish surface aggregations from digital aerial survey data and species occupancy from bottom trawl survey data. We analyzed satellite telemetry data from northern gannets&nbsp;</span><i>Morus bassanus</i><span>, red-throated loons&nbsp;</span><i>Gavia stellata</i><span>, and long-tailed ducks&nbsp;</span><i>Clangula hyemalis</i><span>&nbsp;in the US Atlantic during the non-breeding period. Using discrete-time hidden Markov models to distinguish area-restricted (i.e. putative foraging) from transit movements, we examined how environmental factors influence movement, and how forage fish species distributions and surface aggregations influence habitat use by gannets and loons that have greater dietary reliance. Our results suggest that chlorophyll&nbsp;</span><i>a</i><span>&nbsp;concentration significantly affected movement behavior across species, highlighting the importance of higher-productivity areas around estuaries during colder months when regional productivity is low. Though variable across species and seasons, spatial cross-correlation analysis revealed that herring species (Family Clupeidae), including Atlantic menhaden&nbsp;</span><i>Brevoortia tyrannus</i><span>, may be important resources; it also showed positive spatial correlations with forage fish aggregations. This suggests that prey patch dynamics and factors driving aggregation formation may be as important as species composition. However, spatial patterns were generally low (&lt;0.3), suggesting a mismatch in spatiotemporal resolution, exemplifying the challenges in quantifying trophic relationships in marine systems. Disentangling predator-prey relationships is critical to understanding the mechanisms driving marine bird behavior in rapidly changing marine systems.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps14316","usgsCitation":"Gulka, J., Berlin, A., Friedland, K., Gilbert, A., Goetsch, C., Montevecchi, W., Perry, M., Stenhouse, I., Williams, K.A., and Adams, E.A., 2023, Assessing individual movement, habitat use, and behavior of non-breeding marine birds in relation to prey availability in the US Atlantic: Marine Ecology Progress Series, v. 711, p. 77-99, https://doi.org/10.3354/meps14316.","productDescription":"23 p.","startPage":"77","endPage":"99","ipdsId":"IP-150930","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443380,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps14316","text":"Publisher Index Page"},{"id":417406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.25987342428122,\n              25.49083684996951\n            ],\n            [\n              -60.361707727220605,\n              25.49083684996951\n            ],\n            [\n              -60.361707727220605,\n              45.94936874492856\n            ],\n            [\n              -81.25987342428122,\n              45.94936874492856\n            ],\n            [\n              -81.25987342428122,\n              25.49083684996951\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"711","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gulka, Julia","contributorId":303827,"corporation":false,"usgs":false,"family":"Gulka","given":"Julia","email":"","affiliations":[],"preferred":false,"id":873676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berlin, Alicia 0000-0002-5275-3077","orcid":"https://orcid.org/0000-0002-5275-3077","contributorId":216023,"corporation":false,"usgs":true,"family":"Berlin","given":"Alicia","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":873677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedland, Kevin","contributorId":292483,"corporation":false,"usgs":false,"family":"Friedland","given":"Kevin","affiliations":[],"preferred":false,"id":873678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilbert, Andrew","contributorId":194560,"corporation":false,"usgs":false,"family":"Gilbert","given":"Andrew","affiliations":[],"preferred":false,"id":873679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goetsch, Chandra","contributorId":214868,"corporation":false,"usgs":false,"family":"Goetsch","given":"Chandra","email":"","affiliations":[],"preferred":false,"id":873680,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Montevecchi, William","contributorId":171895,"corporation":false,"usgs":false,"family":"Montevecchi","given":"William","affiliations":[{"id":26965,"text":"Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":873681,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perry, Matthew","contributorId":194761,"corporation":false,"usgs":false,"family":"Perry","given":"Matthew","affiliations":[],"preferred":false,"id":873682,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stenhouse, Iain","contributorId":194567,"corporation":false,"usgs":false,"family":"Stenhouse","given":"Iain","affiliations":[],"preferred":false,"id":873683,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, Kate A.","contributorId":219079,"corporation":false,"usgs":false,"family":"Williams","given":"Kate","email":"","middleInitial":"A.","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":873684,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Adams, Evan A.","contributorId":204599,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":873685,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70243860,"text":"ofr20231044 - 2023 - ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2022","interactions":[],"lastModifiedDate":"2023-05-25T13:29:39.490622","indexId":"ofr20231044","displayToPublicDate":"2023-05-24T11:48:52","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":"2023-1044","displayTitle":"ECCOE Landsat Quarterly Calibration and Validation Report—Quarter 4, 2022","title":"ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2022","docAbstract":"<h1>Executive Summary</h1><p>The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually monitors the geometric and radiometric performance of active Landsat missions and makes calibration adjustments, as needed, to maintain data quality at the highest level.</p><p>This report provides observed geometric and radiometric analysis results for Landsats 7–8 for quarter 4 (October–December) of 2022. All data used to compile the Cal/Val analysis results presented in this report are freely available from the U.S. Geological Survey EarthExplorer website: <a data-mce-href=\"https://earthexplorer.usgs.gov\" href=\"https://earthexplorer.usgs.gov\">https://earthexplorer.usgs.gov</a>.</p><p>One specific activity that the ECCOE Landsat Cal/Val Team closely monitored was the lowering of the Landsat 7 orbit. On April 6, 2022, the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor was placed into standby mode, and a series of spacecraft burns was completed through the month of April to lower the satellite’s orbit by 8 kilometers. Imaging resumed at a lower orbit of 697 kilometers on May 5, 2022, extending the science mission. Additional information about the Landsat 7 orbit lowering is here: <a data-mce-href=\"https://www.usgs.gov/centers/eros/news/landsat-7-lowered-standard-landsat-orbit#:~:text=The%20satellite's%20primary%20science%20mission%20has%20ended&amp;text=On%20April%206%2C%202022%2C%20the,satellite's%20orbit%20by%208%20kilometers\" href=\"https://www.usgs.gov/centers/eros/news/landsat-7-lowered-standard-landsat-orbit#:~:text=The%20satellite's%20primary%20science%20mission%20has%20ended&amp;text=On%20April%206%2C%202022%2C%20the,satellite's%20orbit%20by%208%20kilometers\">https://www.usgs.gov/centers/eros/news/landsat-7-lowered-standard-landsat-orbit#:~:text=The%20satellite's%20primary%20science%20mission%20has%20ended&amp;text=On%20April%206%2C%202022%2C%20the,satellite's%20orbit%20by%208%20kilometers</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231044","usgsCitation":"Haque, M.O., Rengarajan, R., Lubke, M., Hasan, M.N., Shrestha, A., Tuli, F.T.Z., Shaw, J.L., Denevan, A., Franks, S., Micijevic, E., Choate, M.J., Anderson, C., Thome, K., Kaita, E., Barsi, J., Levy, R., and Miller, J., 2023, ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2022: U.S. Geological Survey Open-File Report 2023–1044, 39 p., https://doi.org/10.3133/ofr20231044.","productDescription":"Report: vii, 39 p.; Dataset","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-149560","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":417400,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231044/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":417365,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://earthexplorer.usgs.gov","text":"USGS database","linkHelpText":"—EarthExplorer"},{"id":417362,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1044/ofr20231044.pdf","text":"Report","size":"4.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023–1044"},{"id":417361,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1044/coverthb.jpg"},{"id":417363,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1044/ofr20231044.XML","text":"Report","linkFileType":{"id":8,"text":"xml"}},{"id":417364,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1044/images"}],"contact":"<p>Director,&nbsp;<a href=\"https://www.usgs.gov/centers/eros\" data-mce-href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Landsat 8 Radiometric Performance Summary</li><li>Landsat 8 Geometric Performance Summary</li><li>Landsat 7 Radiometric Performance Summary</li><li>Landsat 7 Geometric Performance Summary</li><li>Quarterly Level 2 Validation Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-05-24","noUsgsAuthors":false,"publicationDate":"2023-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Haque, Obaidul 0000-0002-0914-1446 ohaque@usgs.gov","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":4691,"corporation":false,"usgs":true,"family":"Haque","given":"Obaidul","email":"ohaque@usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":true,"id":873526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengarajan, Rajagopalan 0000-0003-1860-7110 rrengarajan@contractor.usgs.gov","orcid":"https://orcid.org/0000-0003-1860-7110","contributorId":192376,"corporation":false,"usgs":true,"family":"Rengarajan","given":"Rajagopalan","email":"rrengarajan@contractor.usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":true,"id":873527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubke, Mark 0000-0002-7257-2337","orcid":"https://orcid.org/0000-0002-7257-2337","contributorId":261911,"corporation":false,"usgs":false,"family":"Lubke","given":"Mark","email":"","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":873528,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hasan, Nahid 0000-0002-0463-601X","orcid":"https://orcid.org/0000-0002-0463-601X","contributorId":292342,"corporation":false,"usgs":false,"family":"Hasan","given":"Nahid","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":873529,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shrestha, Ashish 0000-0002-9407-5462","orcid":"https://orcid.org/0000-0002-9407-5462","contributorId":298063,"corporation":false,"usgs":false,"family":"Shrestha","given":"Ashish","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":873530,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tuz Zafrin Tuli, Fatima 0000-0002-5225-8797","orcid":"https://orcid.org/0000-0002-5225-8797","contributorId":270395,"corporation":false,"usgs":false,"family":"Tuz Zafrin Tuli","given":"Fatima","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":873531,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shaw, Jerad L. 0000-0002-8319-2778","orcid":"https://orcid.org/0000-0002-8319-2778","contributorId":270396,"corporation":false,"usgs":false,"family":"Shaw","given":"Jerad L.","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":873532,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Denevan, Alex 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,{"id":70243701,"text":"ofr20231012 - 2023 - Estimating northern spotted owl (Strix occidentalis caurina) pair detection probabilities based on call-back surveys associated with long-term mark-recapture studies, 1993–2018","interactions":[],"lastModifiedDate":"2024-03-04T18:02:32.080314","indexId":"ofr20231012","displayToPublicDate":"2023-05-24T11:30:00","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":"2023-1012","displayTitle":"Estimating Northern Spotted Owl (<em>Strix occidentalis caurina</em>) Pair Detection Probabilities Based on Call-Back Surveys Associated with Long-Term Mark-Recapture Studies, 1993–2018","title":"Estimating northern spotted owl (Strix occidentalis caurina) pair detection probabilities based on call-back surveys associated with long-term mark-recapture studies, 1993–2018","docAbstract":"<p>The northern spotted owl (<i>Strix occidentalis caurina</i>; hereinafter NSO) was listed as “threatened” under the Endangered Species Act in 1990 and population declines have continued since that listing. Given the species’ protected status, any proposed activities on Federal lands that might impact NSO require consultation with U.S. Fish and Wildlife Service and part of that consultation often includes surveys to determine presence and occupancy status of the species in the proposed activity area. The objective of this report is to present study-area specific estimates of the probability of detection for NSO pairs from twelve 2-week seasonal survey periods using data from a recent range-wide meta-analysis. These estimates were a by-product of pair occupancy modeling but might provide insight into potential changes in the effect of the invasive barred owl on NSO detection rates. We used two-species multi-season occupancy models to estimate the probability of detection for NSOs on each of 11 study areas for each 2-week survey period and relative to the range-wide effect of barred owl presence or absence. Detection probabilities within the season generally increased from the earliest surveys in March through mid-season, decreasing again in the late season on five study areas. For three other study areas, detection rates were highest during the earliest survey periods in late March or early April. Estimates of cumulative seasonal detection of NSO (across a maximum of six within-season surveys) were less than 0.90 when barred owls (BO) were present on all but one study area, regardless of when surveys were conducted within a season. However, despite low detection rates, the probability that a territory was occupied when an NSO pair was not detected over six within-season surveys was also very low. When BO are not present on a territory, a six-survey protocol had a high probability of detecting an NSO pair at least once during the season on all study areas, except for the very lowest per-survey estimates. Conducting most surveys earlier in the season, when the probability of detecting pairs is highest (through May on most areas) could improve seasonal detection rates. However, alternative methods of population monitoring—such as the use of passive acoustic recorders—may be needed to continue monitoring NSO for research and management.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231012","collaboration":"Prepared in cooperation with Oregon State University","usgsCitation":"Dugger, K.M., Franklin, A.B., Lesmeister, D.B., Davis, R.J., Wiens, J.D., White, G.C., Nichols, J.D., Hines, J.E., Yackulic, C.B., Schwarz, C.J., Ackers, S.H., Andrews, L.S., Bailey, L.L., Bown, R., Burgher, J., Burnham, K.P., Carlson, P.C., Chestnut, T., Conner, M.M., Dilione, K.E., Forsman, E.D., Gremel, S.A., Hamm, K.A., Herter, D.R., Higley, J.M., Horn, R.B., Jenkins, J.M., Kendall, W.L., Lamphear, D.W., McCafferty, C., McDonald, T.L., Reid, J.A., Rockweit, J.T., Simon, D.C., Sovern, S.G., Swingle, J.K., and Wise, H., 2023, Estimating northern spotted owl (<em>Strix occidentalis caurina</em>) pair detection probabilities based on call-back surveys associated with long-term mark-recapture studies, 1993–2018: U.S. Geological Survey Open-File Report 2023–1012, 25 p., https://doi.org/10.3133/ofr20231012.","productDescription":"vii, 25 p.","onlineOnly":"Y","ipdsId":"IP-133003","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":417167,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231012/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1012"},{"id":417166,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1012/ofr20231012.pdf","text":"Report","size":"6.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1012"},{"id":417169,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1012/ofr20231012.XML"},{"id":417168,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1012/images"},{"id":417165,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1012/coverthb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.82419135781177,\n              37.90972622681076\n            ],\n            [\n              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-124.53261803772267,\n              40.21134172936314\n            ],\n            [\n              -123.80095675617886,\n              38.77121416707598\n            ],\n            [\n              -122.82419135781177,\n              37.90972622681076\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/forest-and-rangeland-ecosystem-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/forest-and-rangeland-ecosystem-science-center\">Forest and Rangeland Ecosystem Science Center</a><br>777 NW 9th Street<br>Suite 400<br>Corvallis, OR 97330</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>References Cited</li></ul>","publishedDate":"2023-05-24","noUsgsAuthors":false,"publicationDate":"2023-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Dugger, Katie M. 0000-0002-4148-246X","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":36037,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":872957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Franklin, Alan B.","contributorId":101999,"corporation":false,"usgs":false,"family":"Franklin","given":"Alan","email":"","middleInitial":"B.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":872958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lesmeister, Damon 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,{"id":70243978,"text":"70243978 - 2023 - Paleohydrologic history of pluvial lake San Agustin, New Mexico: Tracking changing effective moisture in southwest North America through the last glacial transition","interactions":[],"lastModifiedDate":"2023-08-10T13:39:15.691752","indexId":"70243978","displayToPublicDate":"2023-05-24T09:29:58","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Paleohydrologic history of pluvial lake San Agustin, New Mexico: Tracking changing effective moisture in southwest North America through the last glacial transition","docAbstract":"<p><span>Paleoclimate records across the Intermountain West region of North America show significant regional variation in timing and magnitude of wet conditions that accompanied the last glacial-interglacial transition. To understand the climate controls on paleohydrologic change, well-dated records are needed across the region. The Plains of San Agustin (New Mexico, USA) is a closed-basin watershed of the American Southwest influenced by both winter westerly and summer North American Monsoon precipitation. The flat valley floors of the Plains contain lake and groundwater discharge deposits that record multiple periods of past wet climate. We present a record of hydroclimate for the past 26,000 years based on radiocarbon, U–Th series, and OSL dating of these deposits and stratigraphic correlation across the three sub-basins of the lake system. We find that two major lake oscillations occurred, coincident with the global Last Glacial Maximum (∼23–18 ka) and with Heinrich Stadial 1 (∼17–14 ka). The LGM lake cycle created a deep lake in the lowermost sub-basin, fed by marsh/lake overflow in the upper sub-basins. The Heinrich Stadial 1 wet interval attained the highest recorded lake level between ∼17.0 and 15.3 ka, merging the lower two sub-basins into one lake. Both lake cycles agree well in timing and magnitude with other lake-based records from the southwestern U.S., supporting previous interpretations that a south-shifted cool season storm track brought a dipole-like pattern of enhanced moisture to the southwest at the expense of drier conditions in the northwest during the LGM and deglaciation. A transition from lake to groundwater discharge conditions followed during the Bølling-Allerød (14.7–12.9 ka) across the study area. Wet meadows prevailed in the lower sub-basin during the Younger Dryas (12.9–11.7 ka), with marsh and open lake conditions in the upper and middle sub-basins, respectively. During the early Holocene, discrete wet intervals are recorded by ages for wet meadow deposits in all sub-basins with centennial-millennial frequency at 9.9, 8.8, 8.2 ka. These events agree well with other Intermountain West records showing wetter-than-present conditions prior to 8 ka. Two additional wet periods, centered at 6.8 and 5.4 ka, occurred during the driest known interval of the middle Holocene, and likely were partly supported in the Plains of San Agustin by summer moisture associated with the peak strength of the North American Monsoon. Our record highlights that both winter and summer moisture support water resources in New Mexico watersheds.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2023.108110","usgsCitation":"Hudson, A.M., Quade, J., Holliday, V.T., Fenerty, B., Bright, J., Gray, H.J., and Mahan, S.A., 2023, Paleohydrologic history of pluvial lake San Agustin, New Mexico: Tracking changing effective moisture in southwest North America through the last glacial transition: Quaternary Science Reviews, v. 310, 108110, 26 p., https://doi.org/10.1016/j.quascirev.2023.108110.","productDescription":"108110, 26 p.","ipdsId":"IP-149581","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":435318,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92RE8VO","text":"USGS data release","linkHelpText":"Geochronologic and isotopic data for Paleohydrologic history of Pluvial Lake San Agustin, New Mexico"},{"id":417530,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Plains of San Agustin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.4,\n              34.25\n            ],\n            [\n              -108.5,\n              34.25\n            ],\n            [\n              -108.5,\n              33.5\n            ],\n            [\n              -107.4,\n              33.5\n            ],\n            [\n              -107.4,\n              34.25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"310","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":873988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quade, Jay","contributorId":22108,"corporation":false,"usgs":false,"family":"Quade","given":"Jay","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":873989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holliday, Vance T.","contributorId":265971,"corporation":false,"usgs":false,"family":"Holliday","given":"Vance","email":"","middleInitial":"T.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":873990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fenerty, Brendan","contributorId":261639,"corporation":false,"usgs":false,"family":"Fenerty","given":"Brendan","email":"","affiliations":[{"id":52636,"text":"Department of Geosciences, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":873991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":873992,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Harrison J. 0000-0002-4555-7473 hgray@usgs.gov","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":4991,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison","email":"hgray@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":874080,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":874081,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70243929,"text":"70243929 - 2023 - Methods and lessons for business resilience and recovery surveys","interactions":[],"lastModifiedDate":"2023-05-25T14:55:03.65358","indexId":"70243929","displayToPublicDate":"2023-05-24T09:17:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Methods and lessons for business resilience and recovery surveys","docAbstract":"<p><span>Surveys are important tools in business resilience and recovery research because of their ability to capture disaggregated economic information; however, they can be difficult and costly due to business operational dynamics and the larger challenges of disaster research. The COVID-19 pandemic serves as a recent example where demand for business data was high across both research and practice. Yet, the methods and modes for collecting data were limited due to safety, health, and ethical concerns. This research seeks to address the lack of tailored guidance for conducting business resilience and recovery surveys by collecting and synthesizing instruments and best practices from previous survey efforts. These previous surveys were undertaken by a diverse group of organizations with varied research questions, objectives, and hazard events of interest. This paper discusses six broad lessons: clearly define purpose, objectives, and concepts; recognize that response rates will be low, consider disaster dynamics in the research design, address bias that can be exacerbated by disasters, take care to acknowledge the unique ethical considerations of disaster resilience surveys in the business and economic context, and verify and validate data at all stages of the survey process. These lessons, in addition to the published instruments themselves, support researchers or practitioners who wish to conduct their own business resilience and recovery surveys in the future.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2023.103743","usgsCitation":"Watson, M., Brown, C., Handmer, J., Kroll, C., Wein, A., Helgeson, J., Rose, A., Dormady, N., and Kim, J., 2023, Methods and lessons for business resilience and recovery surveys: International Journal of Disaster Risk Reduction, v. 93, 103743, 14 p., https://doi.org/10.1016/j.ijdrr.2023.103743.","productDescription":"103743, 14 p.","ipdsId":"IP-143482","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":443384,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2023.103743","text":"Publisher Index Page"},{"id":417437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Watson, Maria","contributorId":305734,"corporation":false,"usgs":false,"family":"Watson","given":"Maria","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":873757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Charlotte","contributorId":305735,"corporation":false,"usgs":false,"family":"Brown","given":"Charlotte","email":"","affiliations":[{"id":66278,"text":"Resilient Organisations Ltd","active":true,"usgs":false}],"preferred":false,"id":873758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Handmer, John","contributorId":305736,"corporation":false,"usgs":false,"family":"Handmer","given":"John","email":"","affiliations":[{"id":66279,"text":"International Institute for Applied Systems Analysis (IIASA)","active":true,"usgs":false}],"preferred":false,"id":873759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kroll, Cynthia","contributorId":305737,"corporation":false,"usgs":false,"family":"Kroll","given":"Cynthia","affiliations":[{"id":66280,"text":"Cynthia Kroll Consulting","active":true,"usgs":false}],"preferred":false,"id":873760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":873761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Helgeson, Jennifer","contributorId":305738,"corporation":false,"usgs":false,"family":"Helgeson","given":"Jennifer","affiliations":[{"id":66281,"text":"National Institute of Standards","active":true,"usgs":false}],"preferred":false,"id":873762,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rose, Adam","contributorId":305740,"corporation":false,"usgs":false,"family":"Rose","given":"Adam","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":873763,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dormady, Noah","contributorId":305741,"corporation":false,"usgs":false,"family":"Dormady","given":"Noah","email":"","affiliations":[{"id":49186,"text":"University of Ohio","active":true,"usgs":false}],"preferred":false,"id":873764,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kim, Juri","contributorId":305742,"corporation":false,"usgs":false,"family":"Kim","given":"Juri","email":"","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":873765,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70248792,"text":"70248792 - 2023 - Recreation use values for water-based recreation","interactions":[],"lastModifiedDate":"2023-09-21T13:53:44.47522","indexId":"70248792","displayToPublicDate":"2023-05-24T08:51:33","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Recreation use values for water-based recreation","docAbstract":"<p>Outdoor recreation is an important and growing activity worldwide. Water-based outdoor recreation is a subset that includes various activities such as fishing, boating, and swimming. While a large portion of water-based recreation is either free or provided at administratively set minimal entrance fees, these activities still involve significant economic value in aggregate. Because many water-based recreation activities do not have market prices, economists have developed nonmarket valuation methods to estimate the full scope of economic values to participants associated with these activities.</p><p>Estimates of the economic value of water-based recreation are important in water resource management. While water resource infrastructure investment decisions typically include the economic value of recreation, periodic evaluation of infrastructure operations after construction may not. Re-evaluation of operations is particularly important if rapid changes in future conditions such as drought or changes in recreational demand occur. Because developing original site-based estimates of economic value requires significant effort, it is important to understand the general economic value of specific water-based recreational activities and methods used to transfer benefit estimates from existing studies to other sites.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Oxford research encyclopedia of environmental science","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/acrefore/9780199389414.013.797","usgsCitation":"Loomis, J., and Bair, L., 2023, Recreation use values for water-based recreation, chap. <i>of</i> Oxford research encyclopedia of environmental science, 35 p., https://doi.org/10.1093/acrefore/9780199389414.013.797.","productDescription":"35 p.","ipdsId":"IP-130849","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":421027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Loomis, John B.","contributorId":201249,"corporation":false,"usgs":false,"family":"Loomis","given":"John B.","affiliations":[],"preferred":false,"id":883668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":883669,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70246302,"text":"70246302 - 2023 - State of the science and decision support for measuring suspended sediment with acoustic instrumentation","interactions":[],"lastModifiedDate":"2023-07-05T14:18:22.546826","indexId":"70246302","displayToPublicDate":"2023-05-24T07:13:22","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"State of the science and decision support for measuring suspended sediment with acoustic instrumentation","docAbstract":"Acoustic instrumentation can be used to provide time-series and discrete estimates of suspended-sediment concentration, load, and sediment particle sizes in fluvial systems, which are essential for creating informed solutions to many sediment-related environmental, engineering, and land management concerns. Historically, scientists have developed relations between suspended sediment characteristics and other parameters, most commonly streamflow, to estimate sediment information when physical sediment samples cannot be collected. Approaches using streamflow can have substantial accuracy limitations because of hysteresis effects, giving rise to the use of more direct surrogate approaches such as acoustic methods. Interagency efforts in recent years have advanced the testing, methods development, operational guidelines, and training on acoustic methods for measuring suspended sediment. Scientists interested in using these methods are faced with many decisions on the type of application and deployment: horizontal profiling, vertical profiling, or point acoustic instruments; single or multifrequency instruments; continuous or discrete sediment measurements; and fixed or mobile instrument deployments. To promote cost-effective, accurate, and high-resolution fluvial sediment data for the Nation, the interagency Sediment Acoustic Leadership Team (SALT) develops technical guidance and training for using acoustic instruments to measure aquatic sediment. Even though acoustic instrumentation has been used successfully to measure suspended-sediment characteristics throughout the world, some deployments have been unsuccessful because of limited technical guidance and selection of an inappropriate method. To guide decisions on method selection, the SALT has compiled the state of the science for the main types of acoustics-based suspended-sediment measurement methods in development, testing, and use, and has created a flowchart to guide method selection.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD","conferenceDate":"May 8-12, 2023","conferenceLocation":"St. Louis, Missouri","language":"English","publisher":"SEDHYD","usgsCitation":"Wood, M.S., Groten, J.T., Straub, T.D., Haught, D.R., Griffiths, R.E., Boldt, J.A., Lucena, Z., Brown, J., Suttles, S.E., and Dickhudt, P., 2023, State of the science and decision support for measuring suspended sediment with acoustic instrumentation, <i>in</i> Proceedings of SEDHYD 2023, St. Louis, Missouri, May 8-12, 2023, 16 p.","productDescription":"16 p.","ipdsId":"IP-148019","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":418679,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418644,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2023Program/s15.html","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groten, Joel T. 0000-0002-0441-8442 jgroten@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-8442","contributorId":173464,"corporation":false,"usgs":true,"family":"Groten","given":"Joel","email":"jgroten@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Straub, Timothy D. 0000-0002-5896-0851","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":215662,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy","email":"","middleInitial":"D.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haught, Dan R.W. 0000-0002-8923-1512","orcid":"https://orcid.org/0000-0002-8923-1512","contributorId":296444,"corporation":false,"usgs":true,"family":"Haught","given":"Dan","email":"","middleInitial":"R.W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":876703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boldt, Justin A. 0000-0002-0771-3658","orcid":"https://orcid.org/0000-0002-0771-3658","contributorId":207849,"corporation":false,"usgs":true,"family":"Boldt","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":876704,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lucena, Zulimar 0000-0002-1682-2661 zlucena@usgs.gov","orcid":"https://orcid.org/0000-0002-1682-2661","contributorId":178284,"corporation":false,"usgs":true,"family":"Lucena","given":"Zulimar","email":"zlucena@usgs.gov","affiliations":[],"preferred":true,"id":876705,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brown, Jeb E. 0000-0001-7671-2379","orcid":"https://orcid.org/0000-0001-7671-2379","contributorId":225088,"corporation":false,"usgs":true,"family":"Brown","given":"Jeb E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876706,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Suttles, Steven E. 0000-0002-4119-8370 ssuttles@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-8370","contributorId":192272,"corporation":false,"usgs":true,"family":"Suttles","given":"Steven","email":"ssuttles@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":876707,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dickhudt, Patrick J. ","contributorId":169593,"corporation":false,"usgs":false,"family":"Dickhudt","given":"Patrick J. ","affiliations":[{"id":25562,"text":"(former) Woods Hole Coastal and Marine Science Center employee","active":true,"usgs":false}],"preferred":false,"id":876708,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70255228,"text":"70255228 - 2023 - Temperature and winter duration requirements for reproductive success in johnny darter Etheostoma nigrum in the South Platte River basin, Colorado","interactions":[],"lastModifiedDate":"2024-06-17T12:05:16.003232","indexId":"70255228","displayToPublicDate":"2023-05-24T07:03:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Temperature and winter duration requirements for reproductive success in johnny darter Etheostoma nigrum in the South Platte River basin, Colorado","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li>Changes in water temperature and its seasonal timing influences the physiological processes of many aquatic ectotherms. Wastewater treatment plants (WWTP) contribute to warmer and more consistent water temperatures in streams draining the North American Great Plains, particularly during winter months. Reduced variation in seasonal water temperature may adversely affect fishes that rely on temperature fluctuation or specific overwintering temperatures for reproductive cues. We used johnny darter<span>&nbsp;</span><i>Etheostoma nigrum</i><span>&nbsp;</span>(Family Percidae), a thermally sensitive species native to the South Platte River Basin, as a focal species to assess the effects of winter water temperature regulations in Colorado.</li><li>Our objective was to evaluate the effects of winter stream temperature and winter duration on reproductive success of johnny darter in the laboratory to inform development of water quality criteria for the South Platte River Basin. Winter duration (60, 90 or 120 days) and temperature (4 or 12°C) were crossed in a factorial design of six treatments that simulated warmed effluent-impacted streams as well as streams with a more natural thermal regime. We defined reproductive success in johnny darter by examining four reproductive endpoints: (1) spawning timing, (2) egg and larvae production, (3) egg success, and (4) egg development. Across the four endpoints, seven main response variables were measured: spawning initiation date, eggs per gram of female per week, live larvae per gram of female per week, fertilisation success, hatching success, egg-to-larva survival and days to hatch.</li><li>Winter temperature and duration influenced spawning timing and egg development. Earlier spawning initiation dates were observed in fish exposed to 12°C winters and was associated with a higher number of days to hatch. Eggs per gram of female per week, live larvae per gram of female per week, fertilisation success, hatching success, and egg-to-larva survival were similar among winter treatments.</li><li>Although the State of Colorado chronic winter water temperature standard of 12°C appears to be adequate for egg and larvae production in johnny darter, our results showed that fish exposed to the standard began spawning significantly earlier than fish exposed to 4°C winters. Evaluating reproductive output in the context of seasonal timing is valid because spawning timing has the potential to affect overall production and egg development, and consequently recruitment and population sustainability. Therefore, spawning timing should be considered when making management decisions and revising water temperature standards.</li><li>The warming of streams and rivers from WWTP effluent is a global issue, especially in areas that are undergoing rapid urbanisation. Fishes are particularly sensitive to water temperature and many fishes worldwide are likely to be experiencing changes in important physiological processes, affecting both reproduction and survival. Our study indicates that reproductive timing could be influenced by stream warming and stresses the need for further studies on the influence of anthropogenic effects on stream warming.</li></ol><p><br data-mce-bogus=\"1\"></p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.14100","usgsCitation":"Baum, C., Winkelman, D.L., and Fitzpatrick, R., 2023, Temperature and winter duration requirements for reproductive success in johnny darter Etheostoma nigrum in the South Platte River basin, Colorado: Freshwater Biology, v. 68, no. 7, p. 1238-1251, https://doi.org/10.1111/fwb.14100.","productDescription":"14 p.","startPage":"1238","endPage":"1251","ipdsId":"IP-143839","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":443388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1111/fwb.14100","text":"Publisher Index Page"},{"id":430264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"South Platte River basin","volume":"68","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Baum, C.M.","contributorId":339064,"corporation":false,"usgs":false,"family":"Baum","given":"C.M.","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":903783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzpatrick, R.M.","contributorId":339066,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":903785,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243955,"text":"70243955 - 2023 - Successful detection of Delta and Omicron Variants of SARS-CoV-2 by veterinary diagnostic laboratory participants in an interlaboratory comparison exercise","interactions":[],"lastModifiedDate":"2023-07-11T16:06:07.941243","indexId":"70243955","displayToPublicDate":"2023-05-24T06:58:23","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14449,"text":"Journal of Applied Laboratory Medicine","active":true,"publicationSubtype":{"id":10}},"title":"Successful detection of Delta and Omicron Variants of SARS-CoV-2 by veterinary diagnostic laboratory participants in an interlaboratory comparison exercise","docAbstract":"<div class=\" sec\"><div class=\"title\"><strong>Background</strong></div><p class=\"chapter-para\">Throughout the COVID-19 pandemic, veterinary diagnostic laboratories have tested diagnostic samples for SARS-CoV-2 both in animals and over 6 million human samples. An evaluation of the performance of those laboratories is needed using blinded test samples to ensure that laboratories report reliable data to the public. This interlaboratory comparison exercise (ILC3) builds on 2 prior exercises to assess whether veterinary diagnostic laboratories can detect Delta and Omicron variants spiked in canine nasal matrix or viral transport medium.</p></div><div class=\" sec\"><div class=\"title\"><strong>Methods</strong></div><p class=\"chapter-para\">The ILC organizer was an independent laboratory that prepared inactivated Delta variant at levels of 25 to 1000 copies per 50 µL of nasal matrix for blinded analysis. Omicron variant at 1000 copies per 50 µL of transport medium was also included. Feline infectious peritonitis virus (FIPV) RNA was used as a confounder for specificity assessment. Fourteen test samples were prepared for each participant. Participants used their routine diagnostic procedures for RNA extraction and real-time reverse transcriptase-PCR. Results were analyzed according to International Organization for Standardization (ISO) 16140–2:2016.</p></div><div class=\" sec\"><div class=\"title\"><strong>Results</strong></div><p class=\"chapter-para\">Overall, laboratories demonstrated 93% detection for Delta and 97% for Omicron at 1000 copies per 50 µL. Specificity was 97% for blank samples and 100% for blank samples with FIPV. No differences in Cycle Threshold (Ct) values were significant for samples with the same virus levels between N1 and N2 markers, nor between the 2 variants.</p></div><div class=\" sec\"><div class=\"title\"><strong>Conclusions</strong></div><p class=\"chapter-para\">The results indicated that all ILC3 participants were able to detect both Delta and Omicron variants. The canine nasal matrix did not significantly affect SARS-CoV-2 detection.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jalm/jfad018","usgsCitation":"Deng, K., Nemser, S.M., Frost, K., Goodman, L.B., Ip, H., Killian, M.L., Ulaszek, J., Kiener, S., Kmet, M., Uhlig, S., Hettwer, K., Colson, B., Nichani, K., Schlierf, A., Tkachenko, A., Miller, M.R., Reddy, R., and Tyson, G.H., 2023, Successful detection of Delta and Omicron Variants of SARS-CoV-2 by veterinary diagnostic laboratory participants in an interlaboratory comparison exercise: Journal of Applied Laboratory Medicine, v. 8, no. 4, p. 726-741, https://doi.org/10.1093/jalm/jfad018.","productDescription":"16 p.","startPage":"726","endPage":"741","ipdsId":"IP-146035","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":443392,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jalm/jfad018","text":"Publisher Index Page"},{"id":417480,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Deng, Kaiping","contributorId":264930,"corporation":false,"usgs":false,"family":"Deng","given":"Kaiping","email":"","affiliations":[{"id":54585,"text":"U.S. Food and Drug Administration, Division of Food Processing Science and Technology, 6502 S. Archer Road, Bedford Park, IL 60501","active":true,"usgs":false}],"preferred":false,"id":873898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nemser, Sarah M.","contributorId":305807,"corporation":false,"usgs":false,"family":"Nemser","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":65237,"text":"Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA","active":true,"usgs":false}],"preferred":false,"id":873899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frost, Kirstin","contributorId":300696,"corporation":false,"usgs":false,"family":"Frost","given":"Kirstin","email":"","affiliations":[{"id":65235,"text":"QuoData – Quality & Statistics, Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":873900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodman, Laura B.","contributorId":300693,"corporation":false,"usgs":false,"family":"Goodman","given":"Laura","email":"","middleInitial":"B.","affiliations":[{"id":65232,"text":"College of Veterinary Medicine, Cornell University, Ithaca, NY, USA","active":true,"usgs":false}],"preferred":false,"id":873901,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ip, Hon S. 0000-0003-4844-7533","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":126815,"corporation":false,"usgs":true,"family":"Ip","given":"Hon S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":873902,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Killian, Mary Lea","contributorId":247507,"corporation":false,"usgs":false,"family":"Killian","given":"Mary","email":"","middleInitial":"Lea","affiliations":[{"id":49560,"text":"National Veterinary Services Laboratories, USDA-APHIS, Ames, Iowa 50010, USA","active":true,"usgs":false}],"preferred":false,"id":873903,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ulaszek, Jodie","contributorId":264934,"corporation":false,"usgs":false,"family":"Ulaszek","given":"Jodie","email":"","affiliations":[{"id":54588,"text":"Illinois Institute of Technology, Institute for Food Safety and Health, 6502 South Archer Road, Bedford Park, IL 60501","active":true,"usgs":false}],"preferred":false,"id":873904,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kiener, Shannon","contributorId":300695,"corporation":false,"usgs":false,"family":"Kiener","given":"Shannon","email":"","affiliations":[{"id":65234,"text":"Division of Food Processing Science and Technology, U.S. Food and Drug Administration, Bedford Park, IL, USA","active":true,"usgs":false}],"preferred":false,"id":873905,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kmet, Matthew","contributorId":264937,"corporation":false,"usgs":false,"family":"Kmet","given":"Matthew","email":"","affiliations":[{"id":54585,"text":"U.S. Food and Drug Administration, Division of Food Processing Science and Technology, 6502 S. Archer Road, Bedford Park, IL 60501","active":true,"usgs":false}],"preferred":false,"id":873906,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Uhlig, Steffen","contributorId":264931,"corporation":false,"usgs":false,"family":"Uhlig","given":"Steffen","email":"","affiliations":[{"id":54586,"text":"2QuoData – Quality & Statistics, Prellerstr. 14, 01309, Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":873907,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hettwer, Karina","contributorId":264939,"corporation":false,"usgs":false,"family":"Hettwer","given":"Karina","email":"","affiliations":[{"id":54586,"text":"2QuoData – Quality & Statistics, Prellerstr. 14, 01309, Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":873908,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Colson, Bertrand","contributorId":264940,"corporation":false,"usgs":false,"family":"Colson","given":"Bertrand","email":"","affiliations":[{"id":54586,"text":"2QuoData – Quality & Statistics, Prellerstr. 14, 01309, Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":873909,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nichani, Kapil","contributorId":264941,"corporation":false,"usgs":false,"family":"Nichani","given":"Kapil","email":"","affiliations":[{"id":54586,"text":"2QuoData – Quality & Statistics, Prellerstr. 14, 01309, Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":873910,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schlierf, Anja","contributorId":300697,"corporation":false,"usgs":false,"family":"Schlierf","given":"Anja","email":"","affiliations":[{"id":65235,"text":"QuoData – Quality & Statistics, Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":873911,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tkachenko, Andriy","contributorId":264943,"corporation":false,"usgs":false,"family":"Tkachenko","given":"Andriy","email":"","affiliations":[{"id":54587,"text":"U.S. Food and Drug Administration, Center for Veterinary Medicine, 8401 Muirkirk Rd., Laurel, MD 20708","active":true,"usgs":false}],"preferred":false,"id":873912,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Miller, Megan R.","contributorId":305809,"corporation":false,"usgs":false,"family":"Miller","given":"Megan","email":"","middleInitial":"R.","affiliations":[{"id":65237,"text":"Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA","active":true,"usgs":false}],"preferred":false,"id":873913,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Reddy, Ravinder","contributorId":264944,"corporation":false,"usgs":false,"family":"Reddy","given":"Ravinder","email":"","affiliations":[{"id":54585,"text":"U.S. Food and Drug Administration, Division of Food Processing Science and Technology, 6502 S. Archer Road, Bedford Park, IL 60501","active":true,"usgs":false}],"preferred":false,"id":873914,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tyson, Gregory H.","contributorId":300700,"corporation":false,"usgs":false,"family":"Tyson","given":"Gregory","email":"","middleInitial":"H.","affiliations":[{"id":65238,"text":"); Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA","active":true,"usgs":false}],"preferred":false,"id":873915,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70244018,"text":"70244018 - 2023 - The extent of buildings in wildland vegetation of the conterminous U.S. and the potential for conservation in and near National Forest private inholdings","interactions":[],"lastModifiedDate":"2023-05-31T11:54:37.449819","indexId":"70244018","displayToPublicDate":"2023-05-24T06:50:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"The extent of buildings in wildland vegetation of the conterminous U.S. and the potential for conservation in and near National Forest private inholdings","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">Development in natural areas is a leading threat to biodiversity. Global conservationists have called for the expansion of protected areas to preserve wildlands that are free from buildings, and in the U.S., the ‘America the Beautiful’ initiative aims to protect 30% of land and water areas by 2030 (known as the ‘30x30’ target). Here, we determined opportunities and limitations for conservation in the conterminous U.S. by assessing the extent of buildings in wildland vegetation. We focused specifically on National Forest lands, as these contain numerous private inholdings where development may occur. Using a newly available building footprint dataset, we determined 1) whether buildings were present and 2) numbers of buildings within three distances of wildland vegetation (100, 250, and 500&nbsp;m), representing varying magnitudes of ecological impact. Our findings revealed that 29% of wildland vegetation nationwide was within 500&nbsp;m of a building, 15% was within 250&nbsp;m, and 5% was within 100&nbsp;m. National Forest lands were less affected by building disturbance, but a substantial proportion (12%) of wildland vegetation area was within 500&nbsp;m of a building. Of National Forest lands that were within 500&nbsp;m of an inholding, 76% was not yet in proximity to a building; consequently, ∼10% of National Forest lands (143,474&nbsp;km<sup>2</sup>) are susceptible to impacts from future development on inholdings. We conclude that National Forest inholdings are therefore important opportunity areas for 30x30 conservation goals. Our assessments can inform where conservation efforts can limit impacts from present and future development on biodiversity.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2023.104810","usgsCitation":"Carlson, A., Radeloff, V.C., Helmers, D.P., Mockrin, M.H., Hawbaker, T., and Pidgeon, A., 2023, The extent of buildings in wildland vegetation of the conterminous U.S. and the potential for conservation in and near National Forest private inholdings: Landscape and Urban Planning, v. 237, 104810, 18 p., https://doi.org/10.1016/j.landurbplan.2023.104810.","productDescription":"104810, 18 p.","ipdsId":"IP-139226","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":443397,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2023.104810","text":"Publisher Index Page"},{"id":417567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"237","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Amanda R. 0000-0002-0450-2636","orcid":"https://orcid.org/0000-0002-0450-2636","contributorId":195661,"corporation":false,"usgs":false,"family":"Carlson","given":"Amanda R.","affiliations":[],"preferred":false,"id":874158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Radeloff, Volker C.","contributorId":149494,"corporation":false,"usgs":false,"family":"Radeloff","given":"Volker","email":"","middleInitial":"C.","affiliations":[{"id":13679,"text":"SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":874159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helmers, Dave P.","contributorId":305952,"corporation":false,"usgs":false,"family":"Helmers","given":"Dave","email":"","middleInitial":"P.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":874160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mockrin, Miranda H.","contributorId":211622,"corporation":false,"usgs":false,"family":"Mockrin","given":"Miranda","email":"","middleInitial":"H.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":874161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":196234,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[],"preferred":true,"id":874162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pidgeon, Anna M.","contributorId":298926,"corporation":false,"usgs":false,"family":"Pidgeon","given":"Anna M.","affiliations":[{"id":64735,"text":"Univ of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":874163,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70244275,"text":"70244275 - 2023 - Per- and polyfluorinated alkyl substances (PFAS) in Pennsylvania surface waters: A statewide assessment, associated sources, and land-use relations","interactions":[],"lastModifiedDate":"2023-06-12T11:38:43.481728","indexId":"70244275","displayToPublicDate":"2023-05-24T06:34:42","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Per- and polyfluorinated alkyl substances (PFAS) in Pennsylvania surface waters: A statewide assessment, associated sources, and land-use relations","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0035\"><span>The objectives of this study are to identify per- and polyfluoroalkyl substances (PFAS) in Pennsylvania surface waters, corresponding associations with potential sources of PFAS contamination (PSOC) and other parameters, and compare raw surface water concentrations to human and ecological benchmarks. Surface water samples from 161 streams were collected in September 2019 and were analyzed for 33 target PFAS and&nbsp;water chemistry. Land use and physical attributes in upstream catchments and geospatial counts of PSOC in local catchments are summarized. The hydrologic yield of the sum of 33 PFAS (∑PFAS) for each stream was computed by normalizing each site's load by the drainage area of the upstream catchment. Utilizing conditional inference tree analysis, the percentage of development (&gt;7.58&nbsp;%) was identified as a primary driver of the ∑PFAS hydrologic yields. When percentage of development was removed from analysis, ∑PFAS yields were closely related to surface water chemistry associated with landscape alteration (e.g., development or agricultural cropland), such as concentrations of total nitrogen, chloride, and ammonia, but also to count of&nbsp;water pollution&nbsp;control facilities (agricultural, industrial,&nbsp;stormwater, and/or municipal waste&nbsp;pollution abatement&nbsp;facilities). In oil and gas development regions, ∑PFAS yields were associated with combined&nbsp;sewage outfalls. Sites surrounded by ≥2 electronic manufacturing facilities had elevated ∑PFAS yields (median&nbsp;=&nbsp;241&nbsp;ng/s/km</span><sup>2</sup>). Study results are critical to guide future research, regulatory policy, best practices that will mitigate PFAS contamination, and the communication of human health and ecological risks associated with PFAS exposure from surface waters.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.164161","usgsCitation":"Breitmeyer, S.E., Williams, A., Duris, J.W., Eicholtz, L.W., Shull, D.R., Wertz, T.A., and Woodward, E., 2023, Per- and polyfluorinated alkyl substances (PFAS) in Pennsylvania surface waters: A statewide assessment, associated sources, and land-use relations: Science of the Total Environment, v. 888, 164161, 11 p., https://doi.org/10.1016/j.scitotenv.2023.164161.","productDescription":"164161, 11 p.","ipdsId":"IP-127731","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science 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jwduris@usgs.gov","orcid":"https://orcid.org/0000-0002-8669-8109","contributorId":1981,"corporation":false,"usgs":true,"family":"Duris","given":"Joseph","email":"jwduris@usgs.gov","middleInitial":"W.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":875119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eicholtz, Lee W. 0000-0002-8428-4092 eicholtz@usgs.gov","orcid":"https://orcid.org/0000-0002-8428-4092","contributorId":306219,"corporation":false,"usgs":true,"family":"Eicholtz","given":"Lee","email":"eicholtz@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":875120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shull, Dustin R.","contributorId":147947,"corporation":false,"usgs":false,"family":"Shull","given":"Dustin","email":"","middleInitial":"R.","affiliations":[{"id":16963,"text":"PA DEP","active":true,"usgs":false}],"preferred":false,"id":875121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wertz, Timothy A. 0000-0003-0878-579X","orcid":"https://orcid.org/0000-0003-0878-579X","contributorId":306220,"corporation":false,"usgs":false,"family":"Wertz","given":"Timothy","email":"","middleInitial":"A.","affiliations":[{"id":17703,"text":"Pennsylvania Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":875122,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Woodward, Emily E. 0000-0001-9196-1349 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,{"id":70243829,"text":"sir20235011 - 2023 - The Science Application for Risk Reduction (SAFRR) Scenario Retrospective 2006–21","interactions":[],"lastModifiedDate":"2026-03-02T19:03:04.474237","indexId":"sir20235011","displayToPublicDate":"2023-05-23T11:25:00","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":"2023-5011","displayTitle":"The Science Application for Risk Reduction (SAFRR) Scenario Retrospective 2006–21","title":"The Science Application for Risk Reduction (SAFRR) Scenario Retrospective 2006–21","docAbstract":"<p>The U.S. Geological Survey Science Application for Risk Reduction (SAFRR) Project has created four major hazard scenarios—ShakeOut, ARkStorm, Tsunami Scenario, and HayWired—with multidisciplinary teams of scientists, academics, and practitioners. By presenting a clear and highly detailed narrative of potential damage from earthquakes, tsunamis, and winter storms, the scenarios are intended to foster science-based preparedness strategies and disaster risk reduction innovations.</p><p>This evaluation explores the presence of these scenarios in cultures of preparedness and their role in disaster risk reduction, and reports barriers and enablers to creating and using these scenarios. To do this, the evaluation team developed a mixed-methods study that includes background research for each scenario, qualitative interviews, data collection of media and academic engagement, and examples of SAFRR scenario use in hazard planning. The data collection led to the development of a hazard scenario evaluation tool that combines theories from multiple disciplines to create a best practice set of categories that aid in scenario use and efficacy. The evaluation tool categories—actionable, longitudinal, educational, relevant, and thorough—are organized as a series of checklists that are used to determine how the scenario planners prioritized different aspects of the scenarios to achieve their goals. The tool could also be used to aid scenario planning for other regional disaster risk reduction scenarios of a similar scope.</p><p>Findings from this evaluation include detailed narratives of scenario use over time, demonstrating that the scenarios have continued to be useful in hazard planning and preparedness across the globe. Examples of use include using the scenarios to advocate for resilient building and development policy, to promote hazard response exercises, and as source data for the development of new hazard models and science. The scenarios themselves are innovative, both in the hazard science created for scenario development and in their branding and public engagement as U.S. Geological Survey products. This SAFFR retrospective is a descriptive evaluation and does not formally address the effects of the scenarios. Nevertheless, this report does include evidence of scenario affects as discovered through qualitative interviews and research, which is presented to explore how the SAFRR scenarios have been received by cultures of preparedness.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20235011","usgsCitation":"Smithhisler, N., and Burkardt, N., 2023, The Science Application for Risk Reduction (SAFRR) Scenario Retrospective 2006–21: U.S. Geological Survey Scientific Investigations Report 2023–5011, 116 p., https://doi.org/10.3133/sir20235011.","productDescription":"Report: viii, 116 p.; Program Agenda","onlineOnly":"Y","ipdsId":"IP-129947","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":417356,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5011/sir20235011.xml"},{"id":417355,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5011/images"},{"id":417314,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2023/5011/agenda.pdf","text":"ARkSTORM Summit Program","size":"3.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"ARkSTORM Summit Program"},{"id":417313,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5011/sir20235011.pdf","text":"Report","size":"15.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5011"},{"id":417312,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5011/coverthb.jpg"},{"id":500692,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114738.htm","linkFileType":{"id":5,"text":"html"}}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/fort-collins-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/fort-collins-science-center/\">Fort Collins Science Center</a><br>U.S. Geological Survey<br>2150 Centre Ave., Bldg. C<br>Fort Collins, CO 80526-8118</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Literature Review</li><li>Introduction to the Science Application for Risk Reduction Scenarios</li><li>Evaluation Methods</li><li>Discussion</li><li>Conclusion</li><li>Glossary</li><li>Appendix 1. Evaluation Methodology</li><li>Appendix 2. Retrospective of Science Application for Risk Reduction (SAFRR) Scenarios Use and Development</li><li>Appendix 3. Supplementary Findings</li></ul>","publishedDate":"2023-05-23","noUsgsAuthors":false,"publicationDate":"2023-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Smithhisler, Nora Lynn 0000-0002-9844-5467","orcid":"https://orcid.org/0000-0002-9844-5467","contributorId":305629,"corporation":false,"usgs":true,"family":"Smithhisler","given":"Nora","email":"","middleInitial":"Lynn","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":873415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burkardt, Nina 0000-0002-9392-9251 burkardtn@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-9251","contributorId":2781,"corporation":false,"usgs":true,"family":"Burkardt","given":"Nina","email":"burkardtn@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":873416,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70252810,"text":"70252810 - 2023 - Application of electricity and underwater acoustics to clear fish from a navigation lock during maintenance","interactions":[],"lastModifiedDate":"2024-04-08T23:55:25.754351","indexId":"70252810","displayToPublicDate":"2023-05-23T11:11:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Application of electricity and underwater acoustics to clear fish from a navigation lock during maintenance","docAbstract":"The presence of fish within navigation locks can introduce an environmental challenge for construction crews when maintenance is required. This study examined the effectiveness of a dual-deterrent fish herding technique using electricity and acoustic stimuli to reduce the abundance of fish within a navigation lock before a scheduled dewatering for maintenance.  Fixed-location multi-beam imaging sonar was used to evaluate fish per minute (FPM) detections near the lock entrance before, during, and after the herding effort. Standardized mobile side-scan sonar surveys were also conducted before and after the herding to examine fish presence throughout the entire lock. Collectively, a 73% reduction in fish targets detected by side-scan sonar and a 43% reduction in FPM detected by imaging sonar were observed following the herding technique. Post-fish herding, 88% reduction in FPM >400mm and a 35% reduction in FPM <400mm were observed. Fish abundance within the lock chamber was reduced and did not result in construction delays, which was problematic and costly during previous dewatering events. Since data from this study are limited to a single lock dewatering and fish clearing event, caution should be taken with the extrapolation of these results. However, the applied methods show promise and may inform future fish clearing efforts to aid lock maintenance.","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre (REABIC)","doi":"10.3391/mbi.2023.14.3.08","usgsCitation":"Rivera, J., Cupp, A.R., Ridgway, J.L., Chapman, D., Hoster, B.E., Acre, M.R., Calfee, R.D., Fischer, J.R., and Duncker, J.J., 2023, Application of electricity and underwater acoustics to clear fish from a navigation lock during maintenance: Management of Biological Invasions, v. 14, no. 3, p. 493-502, https://doi.org/10.3391/mbi.2023.14.3.08.","productDescription":"10 p.","startPage":"493","endPage":"502","ipdsId":"IP-127408","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":443403,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.3391/mbi.2023.14.3.08","text":"Publisher Index Page"},{"id":435319,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94TS236","text":"USGS data release","linkHelpText":"Starved Rock navigation lock fish clearing hydroacoustic data, Illinois River (2020)"},{"id":427559,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Starved Rock Lock","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.0202409171892,\n              41.34115935633514\n            ],\n            [\n              -89.0202409171892,\n        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acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":898301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridgway, Josey Lee 0000-0003-4157-7255","orcid":"https://orcid.org/0000-0003-4157-7255","contributorId":238277,"corporation":false,"usgs":true,"family":"Ridgway","given":"Josey","email":"","middleInitial":"Lee","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":898302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapman, Duane 0000-0002-1086-8853 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0000-0002-9071-7931","orcid":"https://orcid.org/0000-0002-9071-7931","contributorId":329677,"corporation":false,"usgs":true,"family":"Fischer","given":"Jesse","email":"","middleInitial":"Robert","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":898307,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Duncker, James J. 0000-0001-5464-7991 jduncker@usgs.gov","orcid":"https://orcid.org/0000-0001-5464-7991","contributorId":4316,"corporation":false,"usgs":true,"family":"Duncker","given":"James","email":"jduncker@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"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":898308,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70243884,"text":"70243884 - 2023 - The rainfall intensity-duration control of debris flows after wildfire","interactions":[],"lastModifiedDate":"2023-06-08T14:34:53.370308","indexId":"70243884","displayToPublicDate":"2023-05-23T10:57:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The rainfall intensity-duration control of debris flows after wildfire","docAbstract":"<p><span>Increased wildfire activity in the western United States has exposed regional gaps in our understanding of postfire debris-flow generation. To address this problem, we characterized flows in an unstudied area to test the rainfall intensity-duration control of the hazard. Our rainfall measurements and field observations from the northern Sierra Nevada (California, USA) show that debris flows resulted from a short burst rainfall during a low-accumulation storm. In contrast, a much higher accumulation storm (∼10 times more rainfall) with lower short-duration rainfall rates only produced low-hazard flooding. We conclude that total storm rainfall is not an ideal metric for identifying the rainfall conditions that initiate runoff-generated debris flows in the first year after wildfire. Rather, a focus on short-duration (&lt;1&nbsp;hr), high-intensity rainfall that can occur during localized thunderstorms, or bands of intense rainfall during prolonged rainstorms, is more beneficial for the purposes of hazard assessment and warning.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GL103645","usgsCitation":"Thomas, M.A., Lindsay, D.N., Cavagnaro, D.B., Kean, J.W., McCoy, S., and Graber, A.P., 2023, The rainfall intensity-duration control of debris flows after wildfire: Geophysical Research Letters, v. 50, no. 10, e2023GL103645, 10 p., Data Release, https://doi.org/10.1029/2023GL103645.","productDescription":"e2023GL103645, 10 p., Data Release","ipdsId":"IP-148758","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":443405,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gl103645","text":"Publisher Index Page"},{"id":435320,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YPX1BM","text":"USGS data release","linkHelpText":"Field-verified inventory of postfire debris flows for the 2021 Dixie Fire following a 23-25 October 2021 atmospheric river storm and 12 June 2022 thunderstorm"},{"id":417399,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417876,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/63bf10a9d34e92aad3cdac1d","text":"USGS data release","description":"USGS data release","linkHelpText":"Field-verified inventory of postfire debris flows for the 2021 Dixie Fire following a 23-25 October 2021 atmospheric river storm and 12 June 2022 thunderstorm"}],"country":"United States","state":"California","otherGeospatial":"North Fork Feather River Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.316667,\n              40\n            ],\n            [\n              -121.316667,\n              39.9333\n            ],\n            [\n              -121,\n              39.9333\n            ],\n            [\n              -121,\n              40\n            ],\n            [\n              -121.316667,\n              40\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"10","noUsgsAuthors":false,"publicationDate":"2023-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Matthew A. 0000-0002-9828-5539 matthewthomas@usgs.gov","orcid":"https://orcid.org/0000-0002-9828-5539","contributorId":200616,"corporation":false,"usgs":true,"family":"Thomas","given":"Matthew","email":"matthewthomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":873608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindsay, Donald N.","contributorId":216337,"corporation":false,"usgs":false,"family":"Lindsay","given":"Donald","email":"","middleInitial":"N.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":873609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cavagnaro, David B.","contributorId":267181,"corporation":false,"usgs":false,"family":"Cavagnaro","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":873610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":873611,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCoy, Scott W.","contributorId":267182,"corporation":false,"usgs":false,"family":"McCoy","given":"Scott W.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":873612,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graber, Andrew Paul 0000-0003-4179-0291","orcid":"https://orcid.org/0000-0003-4179-0291","contributorId":304628,"corporation":false,"usgs":true,"family":"Graber","given":"Andrew","email":"","middleInitial":"Paul","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":873613,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70247331,"text":"70247331 - 2023 - Rapid characterization of the February 2023 Kahramanmaraş, Turkey, earthquake sequence","interactions":[],"lastModifiedDate":"2023-07-27T15:55:23.625859","indexId":"70247331","displayToPublicDate":"2023-05-23T10:46:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Rapid characterization of the February 2023 Kahramanmaraş, Turkey, earthquake sequence","docAbstract":"<p><span>The 6 February 2023&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><i><span id=\"MathJax-Span-4\" class=\"mi\">M</span></i><sub><span id=\"MathJax-Span-5\" class=\"mi\">w</span></sub></span></span></span></span></span></span><span>&nbsp;7.8 Pazarcık and subsequent <span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><i><span id=\"MathJax-Span-4\" class=\"mi\">M</span></i><sub><span id=\"MathJax-Span-5\" class=\"mi\">w</span></sub></span></span></span></span></span>&nbsp;</span><span>&nbsp;7.5 Elbistan earthquakes generated strong ground shaking that resulted in catastrophic human and economic loss across south‐central Türkiye and northwest Syria. The rapid characterization of the earthquakes, including their location, size, fault geometries, and slip kinematics, is critical to estimate the impact of significant seismic events. The U.S. Geological Survey National Earthquake Information Center (NEIC) provides real‐time monitoring of earthquakes globally, including rapid source characterization and impact estimates. Here, we describe the seismic characterization products generated and made available by the NEIC over the two weeks following the start of the earthquake sequence in southeast Türkiye, their evolution, and how they inform our understanding of regional seismotectonics and hazards. The kinematics of rupture for the two earthquakes was complex, involving multiple fault segments. Therefore, incorporating observations from rupture mapping was critical for characterizing these events. Dense local datasets facilitated robust source characterization and impact assessment once these observations were obtained and converted to NEIC product input formats. We discuss how we may improve the timeliness of NEIC products for rapid assessment of future seismic hazards, particularly in the case of complex ruptures.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320230009","usgsCitation":"Goldberg, D.E., Taymaz, T., Reitman, N.G., Hatem, A.E., Yolsal-Cevikbilen, S., Barnhart, W.D., Irmak, T.S., Wald, D.J., Ocalan, T., Yeck, W.L., Ozkan, B., Jobe, J.A., Shelly, D.R., Thompson, E.M., DuRoss, C., Earle, P.S., Briggs, R.W., Benz, H.M., Erman, C., Dogan, A.H., and Altuntas, C., 2023, Rapid characterization of the February 2023 Kahramanmaraş, Turkey, earthquake sequence: The Seismic Record, v. 3, no. 2, p. 156-167, https://doi.org/10.1785/0320230009.","productDescription":"12 p.","startPage":"156","endPage":"167","ipdsId":"IP-151128","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":443407,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320230009","text":"Publisher Index Page"},{"id":435321,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R6DSVZ","text":"USGS data release","linkHelpText":"Supporting Data and Models for Characterizing the February 2023 Kahramanmaraş, T&amp;amp;amp;amp;uuml;rkiye, Earthquake Sequence"},{"id":419395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Syria, Turkey","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              34,\n              39\n            ],\n            [\n              34,\n              36.5\n            ],\n            [\n              40,\n              36.5\n            ],\n            [\n              40,\n              39\n            ],\n            [\n              34,\n              39\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Goldberg, Dara Elyse 0000-0002-0923-3180","orcid":"https://orcid.org/0000-0002-0923-3180","contributorId":289891,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dara","email":"","middleInitial":"Elyse","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taymaz, Tuncay","contributorId":317747,"corporation":false,"usgs":false,"family":"Taymaz","given":"Tuncay","email":"","affiliations":[{"id":69140,"text":"İstanbul Technical University","active":true,"usgs":false}],"preferred":false,"id":879233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yolsal-Cevikbilen, Seda","contributorId":317748,"corporation":false,"usgs":false,"family":"Yolsal-Cevikbilen","given":"Seda","email":"","affiliations":[{"id":69140,"text":"İstanbul Technical University","active":true,"usgs":false}],"preferred":false,"id":879236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnhart, William D. 0000-0003-0498-1697 wbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0003-0498-1697","contributorId":294678,"corporation":false,"usgs":true,"family":"Barnhart","given":"William","email":"wbarnhart@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":879237,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Irmak, Tahir Serkan","contributorId":317749,"corporation":false,"usgs":false,"family":"Irmak","given":"Tahir","email":"","middleInitial":"Serkan","affiliations":[{"id":69142,"text":"Kocaeli University","active":true,"usgs":false}],"preferred":false,"id":879238,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879239,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ocalan, Taylan","contributorId":317750,"corporation":false,"usgs":false,"family":"Ocalan","given":"Taylan","email":"","affiliations":[{"id":69143,"text":"Yildiz Technical University","active":true,"usgs":false}],"preferred":false,"id":879240,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879241,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ozkan, Berkan","contributorId":317751,"corporation":false,"usgs":false,"family":"Ozkan","given":"Berkan","email":"","affiliations":[{"id":69140,"text":"İstanbul Technical University","active":true,"usgs":false}],"preferred":false,"id":879242,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jobe, Jessica Ann Thompson 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Jobe","given":"Jessica","email":"","middleInitial":"Ann Thompson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879243,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879244,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879245,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879246,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879247,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879248,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879249,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Erman, Ceyhun","contributorId":317752,"corporation":false,"usgs":false,"family":"Erman","given":"Ceyhun","email":"","affiliations":[{"id":69140,"text":"İstanbul Technical University","active":true,"usgs":false}],"preferred":false,"id":879250,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Dogan, Ali Hasan","contributorId":317753,"corporation":false,"usgs":false,"family":"Dogan","given":"Ali","email":"","middleInitial":"Hasan","affiliations":[{"id":69143,"text":"Yildiz Technical University","active":true,"usgs":false}],"preferred":false,"id":879251,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Altuntas, Cemali","contributorId":317754,"corporation":false,"usgs":false,"family":"Altuntas","given":"Cemali","email":"","affiliations":[{"id":69143,"text":"Yildiz Technical University","active":true,"usgs":false}],"preferred":false,"id":879252,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
]}