{"pageNumber":"272","pageRowStart":"6775","pageSize":"25","recordCount":184743,"records":[{"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":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change 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":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","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":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","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":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest 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          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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":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics 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}]}}
,{"id":70255227,"text":"70255227 - 2023 - Effects of population density and environmental conditions on life-history prevalence in a migratory fish","interactions":[],"lastModifiedDate":"2024-06-13T14:55:48.351403","indexId":"70255227","displayToPublicDate":"2023-05-23T09:47:25","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":"Effects of population density and environmental conditions on life-history prevalence in a migratory fish","docAbstract":"<p><span>Individual variation in life-history traits can have important implications for the ability of populations to respond to environmental variability and change. In migratory animals, flexibility in the timing of life-history events, such as juvenile emigration from natal areas, can influence the effects of population density and environmental conditions on habitat use and population dynamics. We evaluated the functional relationships between population density and environmental covariates and the abundance of juveniles expressing different life-history pathways in a migratory fish, Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>), in the Wenatchee River basin in Washington State, USA. We found that the abundance of younger emigrants from natal streams was best described by an accelerating or near-linear function of spawners, whereas the abundance of older emigrants was best described by a decelerating function of spawners. This supports the hypothesis that emigration timing varies in response to density in natal areas, with younger-emigrating life-history pathways comprising a larger proportion of emigrants when densities of conspecifics are high. We also observed positive relationships between winter stream discharge and abundance of younger emigrants, supporting the hypothesis that habitat conditions can also influence the prevalence of different life-history pathways. Our results suggest that early emigration, and a resultant increase in the use of downstream rearing habitats, may increase at higher population densities and with greater winter precipitation. Winter precipitation is projected to increase in this system due to climate warming. Characterizing relationships between life-history prevalence and environmental conditions may improve our understanding of species habitat requirements and is a first step in understanding the dynamics of species with diverse life-history strategies. As environmental conditions change—due to climate change, management, or other factors—resultant life-history changes are likely to have important demographic implications that will be challenging to predict when life-history diversity is not accounted for in population models.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.10087","usgsCitation":"Sorel, M.H., Murdoch, A.R., Zabel, R.W., Kamphaus, C.M., Buhle, E.R., Scheuerell, M.D., and Converse, S.J., 2023, Effects of population density and environmental conditions on life-history prevalence in a migratory fish: Ecology and Evolution, v. 13, no. 5, e10087, 13 p., https://doi.org/10.1002/ece3.10087.","productDescription":"e10087, 13 p.","ipdsId":"IP-141269","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":443411,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.10087","text":"Publisher Index Page"},{"id":430137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Wenatchee River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.2,\n              48.2\n            ],\n            [\n              -121.2,\n              47.4\n            ],\n            [\n              -120.2,\n              47.4\n            ],\n            [\n              -120.2,\n              48.2\n            ],\n            [\n              -121.2,\n              48.2\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Sorel, Mark H.","contributorId":171739,"corporation":false,"usgs":false,"family":"Sorel","given":"Mark","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":903776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murdoch, Andrew R.","contributorId":339213,"corporation":false,"usgs":false,"family":"Murdoch","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":903777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zabel, Richard W.","contributorId":272049,"corporation":false,"usgs":false,"family":"Zabel","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":903778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kamphaus, Cory M.","contributorId":339215,"corporation":false,"usgs":false,"family":"Kamphaus","given":"Cory","email":"","middleInitial":"M.","affiliations":[{"id":39287,"text":"Yakama Nation Fisheries","active":true,"usgs":false}],"preferred":false,"id":903779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buhle, Eric R.","contributorId":339062,"corporation":false,"usgs":false,"family":"Buhle","given":"Eric","email":"","middleInitial":"R.","affiliations":[{"id":81244,"text":"Biomark Applied Biological Services","active":true,"usgs":false}],"preferred":false,"id":903780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scheuerell, Mark David 0000-0002-8284-1254","orcid":"https://orcid.org/0000-0002-8284-1254","contributorId":288621,"corporation":false,"usgs":true,"family":"Scheuerell","given":"Mark","email":"","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903781,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":903782,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70243980,"text":"70243980 - 2023 - Influence of increased freshwater inflow on nitrogen and phosphorus budgets in a dynamic subtropical estuary, Barataria Basin, Louisiana","interactions":[],"lastModifiedDate":"2023-05-30T14:19:45.884972","indexId":"70243980","displayToPublicDate":"2023-05-23T08:48:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Influence of increased freshwater inflow on nitrogen and phosphorus budgets in a dynamic subtropical estuary, Barataria Basin, Louisiana","docAbstract":"<p><span>Coastal Louisiana is currently experiencing high rates of wetland loss and large-scale ecosystem restoration is being implemented. One of the largest and most novel restoration projects is a controlled sediment diversion, proposed to rebuild and sustain wetlands by diverting sediment- and nutrient-rich water from the Mississippi River. However, the impact of this proposed sediment diversion on the nutrient budget of the receiving basin is largely unknown. A water quality model was developed to investigate the impact of the planned Mid-Barataria Sediment Diversion on the nutrient budget of the Barataria Basin (herein referred to as ‘the Basin’). The model results indicate that the planned diversion will increase TN and TP pools by about 38% and 17%, respectively, even with TN and TP loadings that increase by &gt;300%. Water quality model results suggest that the increase of nutrients in the basin will be mitigated by increased advection transport (i.e., decreased residence time from ~170 days to ~40 days, leading to greater flushing) and increased removal via assimilation, denitrification, and settling within the Basin. Advection transport resulted in higher TN removal in the Basin than other processes, such as uptake or denitrification. Approximately 25% of the additional TN loading and 30% of the additional TP loading were processed within the Basin through the assimilation of phytoplankton and wetland vegetation, denitrification, and burial in the sediment/soils. These nutrient budgets help to better understand how the planned large-scale sediment diversion project may change the future ecological conditions within the estuaries of coastal Louisiana and near-shore northern Gulf of Mexico.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w15111974","usgsCitation":"Jung, H., Nuttle, W.K., Baustian, M.M., and Carruthers, T., 2023, Influence of increased freshwater inflow on nitrogen and phosphorus budgets in a dynamic subtropical estuary, Barataria Basin, Louisiana: Water, v. 15, no. 11, 1974, 26 p., https://doi.org/10.3390/w15111974.","productDescription":"1974, 26 p.","ipdsId":"IP-147358","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":443414,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15111974","text":"Publisher Index Page"},{"id":417528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.95930658584572,\n              28.576529058181706\n            ],\n            [\n              -89.35817902592156,\n              29.01036697967102\n            ],\n            [\n              -89.24031087691701,\n              29.18888336467873\n            ],\n            [\n              -89.67249408993412,\n              29.421859677181203\n            ],\n            [\n              -90.17539819235454,\n              29.835100651604293\n            ],\n            [\n              -90.3954187371632,\n              29.739625500016345\n            ],\n            [\n              -90.2186165136559,\n              29.182023077646647\n            ],\n            [\n              -89.95930658584572,\n              28.576529058181706\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Jung, Hoonshin","contributorId":305843,"corporation":false,"usgs":false,"family":"Jung","given":"Hoonshin","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":873997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nuttle, William K.","contributorId":189603,"corporation":false,"usgs":false,"family":"Nuttle","given":"William","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":873998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":873999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carruthers, Tim J. B.","contributorId":140566,"corporation":false,"usgs":false,"family":"Carruthers","given":"Tim J. B.","affiliations":[],"preferred":false,"id":874000,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243837,"text":"70243837 - 2023 - Coral restoration for coastal resilience: Integrating ecology, hydrodynamics, and engineering at multiple scales","interactions":[],"lastModifiedDate":"2023-05-24T13:24:15.792481","indexId":"70243837","displayToPublicDate":"2023-05-23T08:47:01","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":"Coral restoration for coastal resilience: Integrating ecology, hydrodynamics, and engineering at multiple scales","docAbstract":"<p><span>The loss of functional and accreting coral reefs reduces coastal protection and resilience for tropical coastlines. Coral restoration has potential for recovering healthy reefs that can mitigate risks from coastal hazards and increase sustainability. However, scaling up restoration to the large extent needed for coastal protection requires integrated application of principles from coastal engineering, hydrodynamics, and ecology across multiple spatial scales, as well as filling missing knowledge gaps across disciplines. This synthesis aims to identify how scientific understanding of multidisciplinary processes at interconnected scales can advance coral reef restoration. The work is placed within the context of a decision support framework to evaluate the design and effectiveness of coral restoration for coastal resilience. Successfully linking multidisciplinary science with restoration practice will ensure that future large-scale coral reef restorations maximize protection for at-risk coastal communities.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4517","usgsCitation":"Viehman, T.S., Reguero, B., Lenihan, H., Rosman, J.H., Storlazzi, C.D., Goergen, E., Canals Silander, M.F., Groves, S.H., Holstein, D., Bruckner, A., Carrick, J., Haus, B., Royster, J., Duvall, M., Torres, W., and Hench, J., 2023, Coral restoration for coastal resilience: Integrating ecology, hydrodynamics, and engineering at multiple scales: Ecosphere, v. 14, no. 5, e4517, 19 p., https://doi.org/10.1002/ecs2.4517.","productDescription":"e4517, 19 p.","ipdsId":"IP-120817","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443417,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4517","text":"Publisher Index Page"},{"id":417334,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Viehman, T. Shay","contributorId":305632,"corporation":false,"usgs":false,"family":"Viehman","given":"T.","email":"","middleInitial":"Shay","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":873448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reguero, Borja","contributorId":264485,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":873449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lenihan, Hunter","contributorId":305633,"corporation":false,"usgs":false,"family":"Lenihan","given":"Hunter","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":873450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosman, Johanna H.","contributorId":152264,"corporation":false,"usgs":false,"family":"Rosman","given":"Johanna","email":"","middleInitial":"H.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":873451,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":873452,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goergen, Elizabeth","contributorId":305636,"corporation":false,"usgs":false,"family":"Goergen","given":"Elizabeth","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":873453,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Canals Silander, Miguel F.","contributorId":305639,"corporation":false,"usgs":false,"family":"Canals Silander","given":"Miguel","email":"","middleInitial":"F.","affiliations":[{"id":66263,"text":"UPR-M","active":true,"usgs":false}],"preferred":false,"id":873454,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Groves, Sarah H.","contributorId":259300,"corporation":false,"usgs":false,"family":"Groves","given":"Sarah","email":"","middleInitial":"H.","affiliations":[{"id":16685,"text":"National Oceanic and Atmopheric Administration","active":true,"usgs":false}],"preferred":true,"id":873455,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holstein, Daniel","contributorId":305641,"corporation":false,"usgs":false,"family":"Holstein","given":"Daniel","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":873456,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bruckner, Andrew","contributorId":305643,"corporation":false,"usgs":false,"family":"Bruckner","given":"Andrew","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":873457,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carrick, Jane","contributorId":305644,"corporation":false,"usgs":false,"family":"Carrick","given":"Jane","affiliations":[{"id":50219,"text":"um","active":true,"usgs":false}],"preferred":false,"id":873458,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Haus, Brian","contributorId":305645,"corporation":false,"usgs":false,"family":"Haus","given":"Brian","email":"","affiliations":[{"id":50219,"text":"um","active":true,"usgs":false}],"preferred":false,"id":873459,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Royster, Julia","contributorId":305646,"corporation":false,"usgs":false,"family":"Royster","given":"Julia","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":873460,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Duvall, Melissa","contributorId":305647,"corporation":false,"usgs":false,"family":"Duvall","given":"Melissa","email":"","affiliations":[{"id":48502,"text":"Duke","active":true,"usgs":false}],"preferred":false,"id":873461,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Torres, Walter","contributorId":305648,"corporation":false,"usgs":false,"family":"Torres","given":"Walter","email":"","affiliations":[{"id":48502,"text":"Duke","active":true,"usgs":false}],"preferred":false,"id":873462,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hench, Jim","contributorId":305649,"corporation":false,"usgs":false,"family":"Hench","given":"Jim","affiliations":[{"id":48502,"text":"Duke","active":true,"usgs":false}],"preferred":false,"id":873463,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70243839,"text":"70243839 - 2023 - Spatiotemporal patterns and environmental drivers of eastern redcedar (Juniperus virginiana) abundance along the Missouri River, USA","interactions":[],"lastModifiedDate":"2023-06-09T15:26:11.659239","indexId":"70243839","displayToPublicDate":"2023-05-23T08:14:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatiotemporal patterns and environmental drivers of eastern redcedar (<i>Juniperus virginiana</i>) abundance along the Missouri River, USA","title":"Spatiotemporal patterns and environmental drivers of eastern redcedar (Juniperus virginiana) abundance along the Missouri River, USA","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\"><strong>Context: </strong>Changes in disturbance regimes, including reductions in flooding and geomorphic dynamism from dam construction and flow regulation, have facilitated invasion by eastern redcedar (<i>Juniperus virginiana</i><span>&nbsp;</span>L.), an upland tree species, in the understory of floodplain forests along the Missouri National Recreational River (MNRR).</p><p class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\"><strong>Objectives: </strong>Our aim was to determine the spatiotemporal patterns and environmental drivers of redcedar invasion along the MNRR.</p><p class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\"><strong>Methods: </strong>We used the Normalized Difference Vegetation Index (NDVI) calculated from winter Landsat imagery to construct a time series of maps showing spatial changes in redcedar abundance and distribution from 1982 to 2017 in both riparian and upland habitats along the MNRR. We determined how environmental factors (e.g., soil drainage ability, flood recurrence interval, 1980s LULC, lateral distance to the river, and channel incision) have influenced current (2017) redcedar occurrence and abundance in riparian habitats using random forest models (RFM).</p><p class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\"><strong>Results: </strong>Time-series maps indicated that detectable redcedar cover occurred over less than 5% of the study area before 1985, increased steadily from 1985 to 2000, and more than tripled from 2000 to 2010. After 2010, redcedar abundance continued to increase in upland areas but declined following the 2011 Missouri River flood in the floodplain. RFMs indicated that river incision, distance to the river, soil drainage, 1984 LULC, and flood recurrence interval were important features influencing redcedar occurrence and abundance in the floodplain.</p><p class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\"><strong>Conclusion: </strong>Unless preventive measures are implemented, lack of floods and ongoing flow regulation will enable the continued spread of redcedar along the MNRR and other regulated rivers in the eastern Great Plains.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10980-023-01632-y","usgsCitation":"Illeperuma, N.D., Dixon, M.D., Elliott, C.M., Magnuson, K.I., Withanage, M.H., and Vogelmann, J., 2023, Spatiotemporal patterns and environmental drivers of eastern redcedar (Juniperus virginiana) abundance along the Missouri River, USA: Landscape Ecology, v. 38, p. 1677-1695, https://doi.org/10.1007/s10980-023-01632-y.","productDescription":"19 p.","startPage":"1677","endPage":"1695","ipdsId":"IP-144340","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":417333,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Nebraska, South Dakota","otherGeospatial":"Missouri National Recreational River, Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.57075401250965,\n              43.044181430628555\n            ],\n            [\n              -98.53505696686064,\n              43.01407206200105\n            ],\n            [\n              -98.47190065532676,\n              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D.","contributorId":305650,"corporation":false,"usgs":false,"family":"Illeperuma","given":"Nadeesha","email":"","middleInitial":"D.","affiliations":[{"id":16684,"text":"University of South Dakota","active":true,"usgs":false}],"preferred":false,"id":873465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dixon, Mark D.","contributorId":305659,"corporation":false,"usgs":false,"family":"Dixon","given":"Mark","email":"","middleInitial":"D.","affiliations":[{"id":16684,"text":"University of South Dakota","active":true,"usgs":false}],"preferred":false,"id":873470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":873468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magnuson, Kimberly I.","contributorId":305654,"corporation":false,"usgs":false,"family":"Magnuson","given":"Kimberly","email":"","middleInitial":"I.","affiliations":[{"id":16684,"text":"University of South Dakota","active":true,"usgs":false}],"preferred":false,"id":873467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Withanage, Miyuraj H H.","contributorId":305652,"corporation":false,"usgs":false,"family":"Withanage","given":"Miyuraj","email":"","middleInitial":"H H.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":873466,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vogelmann, James E.","contributorId":305656,"corporation":false,"usgs":false,"family":"Vogelmann","given":"James E.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":873469,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70248124,"text":"70248124 - 2023 - Captivity, reintroductions, and the rewilding of amphibian-associated bacterial communities","interactions":[],"lastModifiedDate":"2023-11-20T17:38:14.46488","indexId":"70248124","displayToPublicDate":"2023-05-23T08:00:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2729,"text":"Microbial Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Captivity, reintroductions, and the rewilding of amphibian-associated bacterial communities","docAbstract":"<p><span>Many studies have noted differences in microbes associated with animals reared in captivity compared to their wild counterparts, but few studies have examined how microbes change when animals are reintroduced to the wild after captive rearing. As captive assurance populations and reintroduction programs increase, a better understanding of how microbial symbionts respond during animal translocations is critical. We examined changes in microbes associated with boreal toads (</span><i>Anaxyrus boreas</i><span>), a threatened amphibian, after reintroduction to the wild following captive rearing. Previous studies demonstrate that developmental life stage is an important factor in amphibian microbiomes. We collected 16S marker-gene sequencing datasets to investigate: (i) comparisons of the skin, mouth, and fecal bacteria of boreal toads across four developmental life stages in captivity and the wild, (ii) tadpole skin bacteria before and after reintroduction to the wild, and (iii) adult skin bacteria during reintroduction to the wild. We demonstrated that differences occur across skin, fecal, and mouth bacterial communities in captive versus wild boreal toads, and that the degree of difference depends on developmental stage. Skin bacterial communities from captive tadpoles were more similar to their wild counterparts than captive post-metamorphic individuals were to their wild counterparts. When captive-reared tadpoles were introduced to a wild site, their skin bacteria changed rapidly to resemble wild tadpoles. Similarly, the skin bacterial communities of reintroduced adult boreal toads also shifted to resemble those of wild toads. Our results indicate that a clear microbial signature of captivity in amphibians does not persist after release into natural habitat.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00248-023-02229-3","usgsCitation":"Korpita, T., Muths, E., Watry, M.K., and McKenzie, V.J., 2023, Captivity, reintroductions, and the rewilding of amphibian-associated bacterial communities: Microbial Ecology, v. 86, p. 2271-2281, https://doi.org/10.1007/s00248-023-02229-3.","productDescription":"11 p.","startPage":"2271","endPage":"2281","ipdsId":"IP-141110","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":420470,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-106.190554,40.997607],[-106.061181,40.996999],[-105.730421,40.996886],[-105.724804,40.99691],[-105.277138,40.998173],[-105.27686,40.998173],[-105.256527,40.998191],[-105.254779,40.99821],[-104.943371,40.998084],[-104.855273,40.998048],[-104.829504,40.99927],[-104.675999,41.000957],[-104.497149,41.001828],[-104.497058,41.001805],[-104.467672,41.001473],[-104.214692,41.001657],[-104.214191,41.001568],[-104.211473,41.001591],[-104.123586,41.001626],[-104.10459,41.001543],[-104.086068,41.001563],[-104.066961,41.001504],[-104.053249,41.001406],[-104.039238,41.001502],[-104.023383,41.001887],[-104.018223,41.001617],[-103.972642,41.001615],[-103.971373,41.001524],[-103.953525,41.001596],[-103.906324,41.001387],[-103.896207,41.00175],[-103.877967,41.001673],[-103.858449,41.001681],[-103.750498,41.002054],[-103.574522,41.001721],[-103.497447,41.001635],[-103.486697,41.001914],[-103.421975,41.002007],[-103.421925,41.001969],[-103.396991,41.002558],[-103.382492,41.002232],[-103.365314,41.001846],[-103.362979,41.001844],[-103.077804,41.002298],[-103.076536,41.002253],[-103.059538,41.002368],[-103.057998,41.002368],[-103.043444,41.002344],[-103.038704,41.002251],[-103.002026,41.002486],[-103.000102,41.0024],[-102.98269,41.002157],[-102.981483,41.002112],[-102.963669,41.002186],[-102.962522,41.002072],[-102.960706,41.002059],[-102.959624,41.002095],[-102.94483,41.002303],[-102.943109,41.002051],[-102.925568,41.00228],[-102.924029,41.002142],[-102.906547,41.002276],[-102.904796,41.002207],[-102.887407,41.002178],[-102.885746,41.002131],[-102.867822,41.002183],[-102.865784,41.001988],[-102.849263,41.002301],[-102.846455,41.002256],[-102.830303,41.002351],[-102.82728,41.002143],[-102.773546,41.002414],[-102.766723,41.002275],[-102.754617,41.002361],[-102.739624,41.00223],[-102.653463,41.002332],[-102.621033,41.002597],[-102.578696,41.002291],[-102.575738,41.002268],[-102.575496,41.0022],[-102.566048,41.0022],[-102.556789,41.002219],[-102.487955,41.002445],[-102.470537,41.002382],[-102.469223,41.002424],[-102.379593,41.002301],[-102.364066,41.002174],[-102.292833,41.002207],[-102.292622,41.00223],[-102.292553,41.002207],[-102.291354,41.002207],[-102.2721,41.002245],[-102.267812,41.002383],[-102.231931,41.002327],[-102.2122,41.002462],[-102.209361,41.002442],[-102.19121,41.002326],[-102.124972,41.002338],[-102.070598,41.002423],[-102.051718,41.002377],[-102.051614,41.002377],[-102.051292,40.749591],[-102.051292,40.749586],[-102.051398,40.697542],[-102.051725,40.537839],[-102.051519,40.520094],[-102.051465,40.440008],[-102.05184,40.396396],[-102.051572,40.39308],[-102.051798,40.360069],[-102.051553,40.349214],[-102.051309,40.338381],[-102.051922,40.235344],[-102.051894,40.229193],[-102.051909,40.162674],[-102.052001,40.148359],[-102.051744,40.003078],[-102.051569,39.849805],[-102.051363,39.843471],[-102.051318,39.833311],[-102.051254,39.818992],[-102.050594,39.675594],[-102.050099,39.653812],[-102.050422,39.646048],[-102.049954,39.592331],[-102.049806,39.574058],[-102.049764,39.56818],[-102.049554,39.538932],[-102.049673,39.536691],[-102.049679,39.506183],[-102.049369,39.423333],[-102.04937,39.41821],[-102.049167,39.403597],[-102.04896,39.373712],[-102.048449,39.303138],[-102.04725,39.13702],[-102.047189,39.133147],[-102.047134,39.129701],[-102.046571,39.047038],[-102.045388,38.813392],[-102.045334,38.799463],[-102.045448,38.783453],[-102.045371,38.770064],[-102.045287,38.755528],[-102.045375,38.754339],[-102.045212,38.697567],[-102.045156,38.688555],[-102.045127,38.686725],[-102.04516,38.675221],[-102.045102,38.674946],[-102.045074,38.669617],[-102.045288,38.615249],[-102.045288,38.615168],[-102.045211,38.581609],[-102.045189,38.558732],[-102.045223,38.543797],[-102.045112,38.523784],[-102.045262,38.505532],[-102.045263,38.505395],[-102.045324,38.453647],[-102.044936,38.41968],[-102.044442,38.415802],[-102.044944,38.384419],[-102.044613,38.312324],[-102.044568,38.268819],[-102.044567,38.268749],[-102.04451,38.262412],[-102.044398,38.250015],[-102.044251,38.141778],[-102.044589,38.125013],[-102.044255,38.113011],[-102.044644,38.045532],[-102.043844,37.928102],[-102.043845,37.926135],[-102.043219,37.867929],[-102.043033,37.824146],[-102.042953,37.803535],[-102.042668,37.788758],[-102.042158,37.760164],[-102.04199,37.738541],[-102.041876,37.723875],[-102.041574,37.680436],[-102.041694,37.665681],[-102.041582,37.654495],[-102.041585,37.644282],[-102.041618,37.607868],[-102.041894,37.557977],[-102.041899,37.541186],[-102.042016,37.535261],[-102.041786,37.506066],[-102.041801,37.469488],[-102.041755,37.434855],[-102.041669,37.43474],[-102.041676,37.409898],[-102.041586,37.38919],[-102.041524,37.375018],[-102.042089,37.352819],[-102.041974,37.352613],[-102.041817,37.30949],[-102.041664,37.29765],[-102.041963,37.258164],[-102.042002,37.141744],[-102.042135,37.125021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 \"}}]}","volume":"86","noUsgsAuthors":false,"publicationDate":"2023-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Korpita, Timothy","contributorId":329044,"corporation":false,"usgs":false,"family":"Korpita","given":"Timothy","email":"","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":882000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":245922,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watry, Mary Kay","contributorId":141021,"corporation":false,"usgs":false,"family":"Watry","given":"Mary","email":"","middleInitial":"Kay","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":882002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenzie, Valerie J.","contributorId":174969,"corporation":false,"usgs":false,"family":"McKenzie","given":"Valerie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":882003,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243847,"text":"70243847 - 2023 - Laboratory simulation of earthquake-induced damage in lava dome rocks","interactions":[],"lastModifiedDate":"2023-06-09T15:25:26.693029","indexId":"70243847","displayToPublicDate":"2023-05-23T07:51:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14442,"text":"Tektonika","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory simulation of earthquake-induced damage in lava dome rocks","docAbstract":"<p><span>Earthquakes can impart varying degrees of damage and permanent, inelastic strain on materials, potentially resulting in ruptures that may promote hazards such as landslides and other collapse events. However, the accumulation of damage in rocks under the frequency and amplitude of shaking experienced during earthquake events is rarely systematically measured due to technical limitations. Here, we characterize damage evolution during laboratory experiments on a suite of dacitic rocks from Unzen volcano, Japan, to help resolve accumulated damage and landslide susceptibility of lava domes during regional earthquake events. Damage was imparted during slow (time-dependent creep) and fast (stress-oscillation earthquake simulations) uniaxial loading in compression and tension. Damage evolution is approximated from strain during experiments; all samples accumulate strain during earthquake events, but microfracture-dominated samples tend to be more susceptible to damage than vesicle-dominated samples. The orientation of existing fabrics with respect to loading direction dictates the magnitude of strain accumulation under load oscillations. During each “earthquake” experiment of multiple dynamic stress-oscillations, samples accumulate inelastic strain. The strain imparted during each successive event is initially high and then reduces after 5-7 events, except when stressing results in failure. The strain rate during phases of intermittent stressing tends to be higher than prior to them. Understanding the accumulation of damage and the potential for brittle failure of rocks subjected to earthquakes can help define the origin and timing of certain landslides, rockfalls, lava dome collapses, and other failure events.</span></p>","language":"English","publisher":"University of Aberdeen","doi":"10.55575/tektonika2023.1.1.10","usgsCitation":"Schaefer, L.N., Kendrick, J.E., Lavallee, Y., Schauroth, J., Lamb, O.D., Lamur, A., Miwa, T., and Kennedy, B.M., 2023, Laboratory simulation of earthquake-induced damage in lava dome rocks: Tektonika, v. 1, no. 1, p. 112-126, https://doi.org/10.55575/tektonika2023.1.1.10.","productDescription":"15 p.","startPage":"112","endPage":"126","ipdsId":"IP-142493","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":443423,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.55575/tektonika2023.1.1.10","text":"Publisher Index Page"},{"id":435322,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94CMZVO","text":"USGS data release","linkHelpText":"Data for Laboratory simulation of earthquake-induced damage in lava dome rocks"},{"id":417329,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","otherGeospatial":"Mt. Unzen","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              130.29780163613702,\n              32.74920624228574\n            ],\n            [\n              130.29880464572108,\n              32.748209281232675\n            ],\n            [\n              130.30333338597222,\n              32.748541602823735\n            ],\n            [\n              130.3097161742437,\n              32.75488103882502\n            ],\n            [\n              130.31081036651824,\n              32.76001871840374\n            ],\n            [\n              130.31050642421906,\n              32.76157785606482\n            ],\n            [\n              130.3079229146806,\n              32.76234463506334\n            ],\n            [\n              130.30345496289033,\n              32.76203792425589\n           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0000-0003-4766-5758","orcid":"https://orcid.org/0000-0003-4766-5758","contributorId":301160,"corporation":false,"usgs":false,"family":"Lavallee","given":"Yan","email":"","affiliations":[{"id":47800,"text":"Ludwig Maximilian University of Munich","active":true,"usgs":false}],"preferred":false,"id":873487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schauroth, Jenny 0000-0003-4802-2893","orcid":"https://orcid.org/0000-0003-4802-2893","contributorId":305664,"corporation":false,"usgs":false,"family":"Schauroth","given":"Jenny","email":"","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":873488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lamb, Oliver D. 0000-0002-2254-4258","orcid":"https://orcid.org/0000-0002-2254-4258","contributorId":305665,"corporation":false,"usgs":false,"family":"Lamb","given":"Oliver","email":"","middleInitial":"D.","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":873490,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamur, Anthony 0000-0002-9977-0085","orcid":"https://orcid.org/0000-0002-9977-0085","contributorId":301158,"corporation":false,"usgs":false,"family":"Lamur","given":"Anthony","email":"","affiliations":[{"id":47800,"text":"Ludwig Maximilian University of Munich","active":true,"usgs":false}],"preferred":false,"id":873489,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miwa, Takahiro 0000-0003-1041-4832","orcid":"https://orcid.org/0000-0003-1041-4832","contributorId":305668,"corporation":false,"usgs":false,"family":"Miwa","given":"Takahiro","email":"","affiliations":[{"id":47718,"text":"National Research Institute for Earth Science and Disaster Resilience","active":true,"usgs":false}],"preferred":false,"id":873491,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kennedy, Ben M. 0000-0001-7235-6493","orcid":"https://orcid.org/0000-0001-7235-6493","contributorId":270276,"corporation":false,"usgs":false,"family":"Kennedy","given":"Ben","email":"","middleInitial":"M.","affiliations":[{"id":37172,"text":"University of Canterbury","active":true,"usgs":false}],"preferred":false,"id":873492,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70243587,"text":"sir20235033 - 2023 - Flood-inundation maps for the Muddy River, near Moapa, Nevada","interactions":[],"lastModifiedDate":"2026-03-06T21:08:05.364807","indexId":"sir20235033","displayToPublicDate":"2023-05-23T07:43:02","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":"2023-5033","displayTitle":"Flood-Inundation Maps for the Muddy River, near Moapa, Nevada","title":"Flood-inundation maps for the Muddy River, near Moapa, Nevada","docAbstract":"<p>The Muddy River provides habitat for several wildlife and endemic aquatic species protected under the Endangered Species Act. Near Moapa, Nevada, in the Bureau of Land Management’s Muddy River Floodplain Restoration Project Area, a previously constructed levee on the east side of the river alters the natural hydrology and decreases connectivity between the river and its floodplain. The Bureau of Land Management is interested in restoring the project area to a more natural state and proposed removing the existing levee (at the time of this study in 2019) on the east bank of the river and replacing it with a new levee farther away from the river. The 50-, 20-, 10-, 4-, 2-, and 1-percent annual exceedance probability flood streamflows were estimated based on a flood-frequency analysis of a streamgage in the study area. River cross-sections were surveyed and combined with a digital elevation model of the floodplains to create a coupled one- and two-dimensional hydraulic model of the study area. The estimated flood streamflows were used as inputs in the hydraulic model to simulate how flood-inundation extents would change with the proposed restoration. Simulated inundation extents expand with increasing flood magnitudes, with nearly the entire valley inundated by the 2-percent flood streamflow. Within the project area, inundation extents with restoration increased on the east floodplain and decreased on the west floodplain for the 20-, 10-, 4-, 2-, and 1-percent flood streamflows. Outside the Muddy River Floodplain Restoration Project Area, inundation extents decreased with restoration east of the project area for the 20- and 10-percent flood streamflows, but changes in extent for larger streamflows were minor because most of the streamflow leaves the main river channel upstream of the restoration area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235033","usgsCitation":"Morris, C.M., and Childres, H.K., 2023, Flood-inundation maps for the Muddy River, near Moapa, Nevada: U.S. Geological Survey Scientific Investigations Report 2023–5033, 22 p., https://doi.org/10.3133/sir20235033.","productDescription":"Report: viii, 22 p.; Data Release","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-104618","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":416999,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5033/sir20235033.pdf","text":"Report","size":"23 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":417002,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5033/images"},{"id":416997,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K68IWI","text":"Geospatial data, flood-frequency analysis, and surface-water model archive for flood-inundation maps of the Muddy River, near Moapa, Nevada","description":"Morris, C.M., 2023, Geospatial data, flood-frequency analysis, and surface-water model archive for flood-inundation maps of the Muddy River, near Moapa, Nevada: U.S. Geological Survey data release, at https://doi.org/10.5066/P9K68IWI."},{"id":417000,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5033/covrthb.jpg"},{"id":417001,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5033/sir20235033.xml"},{"id":417003,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20235033/full"},{"id":500898,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114737.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","city":"Moapa","otherGeospatial":"Muddy River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.716667,\n              36.723611\n            ],\n            [\n              -114.716667,\n              36.675\n            ],\n            [\n              -114.675,\n              36.675\n            ],\n            [\n              -114.675,\n              36.723611\n            ],\n            [\n              -114.716667,\n              36.723611\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nv@usgs.gov\" data-mce-href=\"mailto:dc_nv@usgs.gov\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/nv-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/nv-water\">Nevada Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>2730 N. Deer Run Road<br>Carson City, Nevada 89701</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of Study Area</li><li>Previous Studies</li><li>Simulation of Flood-Inundation Extents</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2023-05-23","noUsgsAuthors":false,"publicationDate":"2023-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Morris, Christopher M. 0000-0002-0477-7605","orcid":"https://orcid.org/0000-0002-0477-7605","contributorId":216851,"corporation":false,"usgs":true,"family":"Morris","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Childres, Hampton K. 0000-0002-8712-0990","orcid":"https://orcid.org/0000-0002-8712-0990","contributorId":290578,"corporation":false,"usgs":true,"family":"Childres","given":"Hampton","email":"","middleInitial":"K.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":872482,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70243699,"text":"sim3503 - 2023 - Landslides triggered by the 2016–2017 storm season, eastern San Francisco Bay region, California","interactions":[],"lastModifiedDate":"2026-02-19T17:54:22.824025","indexId":"sim3503","displayToPublicDate":"2023-05-23T07:42:15","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3503","displayTitle":"Landslides Triggered by the 2016–2017 Storm Season, Eastern San Francisco Bay Region, California","title":"Landslides triggered by the 2016–2017 storm season, eastern San Francisco Bay region, California","docAbstract":"<h1>Discussion</h1><p>The winter rainy season of 2016–2017 brought abundant rainfall to the State of California and to the San Francisco Bay region. In January and February of 2017, intense rainfall from strong winter storms saturated soils in the region and triggered thousands of shallow landslides. The highest concentration of these landslides was in the eastern part of the bay region, where landslides in the hills east of the Cities of Richmond, Berkeley, Oakland, Hayward, and Fremont (see main map for locations) damaged homes, displaced a major electrical transmission-line tower, and blocked several heavily traveled roadways.</p><p>This map shows 8,928 landslides manually mapped from rectified high-resolution (0.25-meter [m]) satellite imagery (March 11, 2017, from Google Earth) in a three-dimensional geographic information system (GIS) framework. The map area encompasses approximately 1,050 square kilometers (km<sup>2</sup>), bounded by the Carquinez Strait and San Francisco Bay to the north and west, respectively, and extending to the Interstate Highway 680 corridor to the south and east. Individual landslides were mapped as polygons, but for ease of display, they are shown here as points denoting the highest elevation of each landslide headscarp. The greatest calculated landslide concentration (measured as the total number of landslides per unit area) exceeded 80 landslides per 0.25 km<sup>2</sup> in the hills east of the City of Berkeley. This zone is illustrated on the map in red, a color which denotes areas of greater than or equal to 30 landslides per 0.25 km<sup>2</sup>. The source area and deposit polygon datasets are available as a data release (Corbett and Collins, 2023). Complementary field investigations at more than 150 landslides of those displayed here indicate that most mapped landslides are shallow (less than 1 m deep) debris slides and debris flows. Although most landslides occurred in undeveloped areas (for example, parks and open space), about 1,400 landslides, or 16 percent of the total number, affected structures or infrastructure (including paved and dirt roads) in some way. The inset figures (figs. 1–5) show photographs taken in January and February 2017 that depict some areas of damage that occurred during and after the storms; the locations of where these photographs were taken are shown on the map.</p><p>In the San Francisco Bay region, landslides usually take place each year during the winter rainy season, but widespread, intense rainfall events such as those whose effects are depicted here typically occur as a result of considerably above-average precipitation conditions. Although the landslides of early 2017 are not the most damaging to affect the region historically, they are still a potent reminder of the potential for landslide hazards present in the San Francisco Bay region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3503","usgsCitation":"Corbett, S.C., and Collins, B.D., 2023, Landslides triggered by the 2016–2017 storm season, eastern San Francisco Bay region, California: U.S. Geological Survey Scientific Investigations Map 3503, scale 1:75,000, https://doi.org/10.3133/sim3503.","productDescription":"1 Plate: 37.12 x 44.88 inches; Data Release","ipdsId":"IP-126449","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":417161,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3503/sim3503_sheet.pdf","text":"Report","size":"35 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":417160,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3503/covrthb.jpg"},{"id":417163,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98MVEGI","text":"Mapped polygons of landslides triggered by the 2016–2017 storm season, eastern San Francisco Bay region, California","description":"Corbett, S.C., and Collins, B.D., 2023, Mapped polygons of landslides triggered by the 2016–2017 storm season, eastern San Francisco Bay region, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9XPA7UC."},{"id":500209,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114739.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"eastern San Francisco Bay region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.86773652737136,\n              37.59196580130809\n            ],\n            [\n              -121.95011125798024,\n              37.760393221950594\n            ],\n            [\n              -122.01875686682075,\n              37.85530428686653\n            ],\n            [\n              -122.03935054947307,\n              38.00420363734628\n            ],\n            [\n              -122.06680879300936,\n              38.03935395235649\n            ],\n            [\n              -122.23842281511067,\n              38.06908335518102\n            ],\n            [\n              -122.35855263058198,\n              38.006908106324346\n            ],\n            [\n              -122.43406280030648,\n              37.96362463343144\n            ],\n            [\n              -122.37571403279212,\n              37.88781713463695\n            ],\n            [\n              -122.23842281511067,\n              37.790235557897105\n            ],\n            [\n              -122.07024107345114,\n              37.64905661408321\n            ],\n            [\n              -121.95011125798024,\n              37.551159813602936\n            ],\n            [\n              -121.86773652737136,\n              37.59196580130809\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a href=\"https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fusgs.gov%2F&amp;data=05%7C01%7Cjtran%40usgs.gov%7C2acc9ccfe04c490508e208db57150e3b%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C638199520171483214%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=M5pIPYGVMGFOGVgSlKnAjJ%2FMw0n5BBDivZ0f4E1wjFs%3D&amp;reserved=0\" data-mce-href=\"https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fusgs.gov%2F&amp;data=05%7C01%7Cjtran%40usgs.gov%7C2acc9ccfe04c490508e208db57150e3b%7C0693b5ba4b184d7b9341f32f400a5494%7C0%7C0%7C638199520171483214%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=M5pIPYGVMGFOGVgSlKnAjJ%2FMw0n5BBDivZ0f4E1wjFs%3D&amp;reserved=0\">U.S. Geological Survey</a><br>Building 19, 350 N. Akron Rd.<br>P.O. Box 158<br>Moffett Field, CA 94035</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-05-23","noUsgsAuthors":false,"publicationDate":"2023-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Corbett, Skye C. 0000-0003-3277-1021 scorbett@usgs.gov","orcid":"https://orcid.org/0000-0003-3277-1021","contributorId":200617,"corporation":false,"usgs":true,"family":"Corbett","given":"Skye","email":"scorbett@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":872950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":872951,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70243850,"text":"70243850 - 2023 - No evidence for cottonwood forest decline along a flow-augmented western U.S. river","interactions":[],"lastModifiedDate":"2023-10-11T15:24:46.164172","indexId":"70243850","displayToPublicDate":"2023-05-23T07:30:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"No evidence for cottonwood forest decline along a flow-augmented western U.S. river","docAbstract":"<p><span>In contrast to many other arid region rivers, streamflow in the South Platte River is heavily augmented by trans-basin water imports and irrigation return flows. Hydrological changes began in the 1880s, resulting in channel narrowing and the development of a continuous&nbsp;</span><i>Populus-Salix</i><span>&nbsp;forest by the mid-twentieth century. We assessed the composition, structure and regeneration status of the riparian forest and identified environmental variables affecting annual&nbsp;</span><i>Populus deltoides</i><span>&nbsp;tree growth. We sampled forest structure at four sites in 2015, and conducted dendroecological analysis at seven additional sites in 2019. The riparian forest was dominated by&nbsp;</span><i>P. deltoides</i><span>, which occurred at all sites, comprising 79% of total tree basal area and 62% of total tree density. Age structure data indicated ongoing though episodic recruitment of&nbsp;</span><i>P. deltoides</i><span>, at least over the past ~130 years. We tested 14 linear mixed effects models to describe the effect of climate and streamflow on individual tree growth (modeled as the log of BAI,&nbsp;</span><i>n</i><span> = 237 trees). The most parsimonious model selected with AICc explained 28.6% of BAI variability, and included hydrology and climate factors during the growing season (i.e., June–August streamflow, June–July PDSI), some aspects of off-season (i.e., previous November and March) streamflow, along with tree age and study site effects. The riparian forest developed in response to, and has been maintained by, current climate conditions and water management regimes. It may be negatively affected by future climate change and increased urban water demand in the basin.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4151","usgsCitation":"Christensen, C., Katz, G.L., Friedman, J.M., Redmond, M.D., and Norton, A.S., 2023, No evidence for cottonwood forest decline along a flow-augmented western U.S. river: River Research and Applications, v. 39, no. 8, p. 1602-1615, https://doi.org/10.1002/rra.4151.","productDescription":"14 p.","startPage":"1602","endPage":"1615","ipdsId":"IP-147312","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":443426,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4151","text":"Publisher Index Page"},{"id":417328,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"South Platte 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