{"pageNumber":"563","pageRowStart":"14050","pageSize":"25","recordCount":184660,"records":[{"id":70208328,"text":"sir20205007 - 2020 - Optimization assessment of a groundwater-level observation network in the Middle Rio Grande Basin, New Mexico","interactions":[],"lastModifiedDate":"2022-04-25T21:17:00.184426","indexId":"sir20205007","displayToPublicDate":"2020-12-21T08:28:55","publicationYear":"2020","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":"2020-5007","displayTitle":"Optimization Assessment of a Groundwater-Level Observation Network in the Middle Rio Grande Basin, New Mexico","title":"Optimization assessment of a groundwater-level observation network in the Middle Rio Grande Basin, New Mexico","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Albuquerque Bernalillo County Water Utility Authority (ABCWUA), measures groundwater levels continuously (hourly) and discretely (semiannually and annually) at a network of wells and piezometers (hereafter called the observation network) within the Middle Rio Grande Basin in central New Mexico. Groundwater levels that are measured in this observation network provide a long-term hydrologic dataset that is heavily relied upon to make water management decisions. The desire to upgrade and perform maintenance on this observation network initiated this study, which assesses the spatial and temporal importance of measurements towards optimization of monitoring the observation network to reduce or redirect monitoring costs. This report describes the methods and results of the optimization assessment of this observation network, which included separate spatial and temporal methodologies and an evaluation using principal component analysis (PCA).</p><p>Results from the spatial optimization assessment can be used to help identify observation network sites that do not significantly affect the generation of winter groundwater-elevation contour maps of the production zone. Results from the temporal optimization assessment and PCA can also be consulted when deciding which sites to remove from the network, especially for sites that are monitored more frequently than annually. Results from the temporal optimization assessment can be used to inform the minimum monitoring frequency at the observation network required to capture the trends shown in higher frequency monitoring. The PCA results distinguish spatially distributed characteristic water-level trends that can inform the management decisions that are made when using the spatial and temporal optimization assessment results. Reducing the temporal frequency or spatial density of monitoring is ultimately a management decision that depends on the amount of data loss or degradation that is deemed acceptable while still meeting the network objectives of the ABCWUA. This study can also serve as a starting point to a data gap analysis of local aquifer characteristics and help guide enhanced observation network design as needs arise or in advance of future water management decisions.</p><p>The results of the spatial optimization assessment indicate that as many as about 20 specified sites can be removed from the observation network with a relatively small loss in the ability to represent the kriged groundwater-elevation surfaces of the production zone that were generated by using median groundwater elevations for two periods: the 2001 time interval and 2015 time interval. This analysis also demonstrated the importance of wells at the margin of the study area and in areas where there are large hydrologic gradients. At many of the 47 hourly monitored sites analyzed in the temporal optimization assessment, temporal trends were well represented for at least one of the reduced monitoring frequencies tested, indicating that a reduced frequency may be sufficient to adequately characterize seasonal and long-term trends. PCA and k-means clustering analysis of the 15 hourly monitored sites that are screened within the production zone indicate that the sites can be categorized into four groups, or clusters, of differing groundwater-level hydrograph characteristics. Except for one cluster, all of the clusters have the potential to be well represented by fewer index monitoring sites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205007","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Ritchie, A.B., and Pepin, J.D., 2020, Optimization assessment of a groundwater-level observation network in the Middle Rio Grande Basin, New Mexico (ver. 2, December 2020): U.S. Geological Survey Scientific Investigations Report 2020–5007, 113 p., https://doi.org/10.3133/sir20205007.","productDescription":"Report: vii, 113 p.; 2 Figures","numberOfPages":"125","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-102753","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":373207,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5007/sir20205007.pdf","text":"Report","size":"7.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5007"},{"id":399629,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109787.htm"},{"id":381500,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2020/5007/versionHist.txt","text":"Version History","description":"SIR 2020–5007 Version History"},{"id":373209,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2020/5007/sir20205007_figure23B.pdf","text":"Figure 23B","size":"170 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5007 Figure 23B","linkHelpText":"Clustered monthly median hydrographs plotted using an independent y-axis range for all plots"},{"id":373208,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2020/5007/sir20205007_figure23A.pdf","text":"Figure 23A","size":"163 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5007 Figure 23A","linkHelpText":"Clustered monthly median hydrographs plotted using the same fixed y-axis range for all plots"},{"id":373206,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5007/coverthb2.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Middle Rio Grande Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.8517,\n              34.9064\n            ],\n            [\n              -106.4542,\n              34.9064\n            ],\n            [\n              -106.4542,\n              35.4011\n            ],\n            [\n              -106.8517,\n              35.4011\n            ],\n            [\n              -106.8517,\n              34.9064\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: March 17, 2020; Version 2.0: December 21, 2020","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/nm-water\" href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a> <br>U.S. Geological Survey<br>6700 Edith Blvd. NE <br>Albuquerque, NM 87113<br> </p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Optimization Assessment of the Observation Network</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-03-17","revisedDate":"2020-12-21","noUsgsAuthors":false,"publicationDate":"2020-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Ritchie, Andre B. 0000-0003-1289-653X","orcid":"https://orcid.org/0000-0003-1289-653X","contributorId":214611,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andre","email":"","middleInitial":"B.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pepin, Jeff D. 0000-0002-7410-9979","orcid":"https://orcid.org/0000-0002-7410-9979","contributorId":222161,"corporation":false,"usgs":true,"family":"Pepin","given":"Jeff","email":"","middleInitial":"D.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223362,"text":"70223362 - 2020 - The Long-term effect of bleeding for Limulus amebocyte lysate on annual survival and recapture of tagged horseshoe crabs","interactions":[],"lastModifiedDate":"2021-08-25T13:31:32.56306","indexId":"70223362","displayToPublicDate":"2020-12-21T08:16:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"The Long-term effect of bleeding for Limulus amebocyte lysate on annual survival and recapture of tagged horseshoe crabs","docAbstract":"<p><span>In the U.S., 525,000 horseshoe crabs (</span><i>Limulus polyphemus</i><span>) per year have been captured during 2013–2017, brought to biomedical facilities, and bled to produce Limulus amebocyte lysate (LAL), then mostly released to the area of capture. The Atlantic States Marine Fisheries Commission estimates short-term bleeding-induced mortality to be 15% (4% to 30%), resulting in mortality of approximately 78,750 horseshoe crabs annually in recent years comprising a minor portion (&lt;13%) of the up to one million annual coastwide landings dominated by harvest for bait. However, the long-term effect of bleeding for LAL on annual survival and spawning behavior is unknown; thus, results from short-term studies alone might underestimate bleeding effects at the population level. To address this knowledge gap, we analyzed data from the U.S. Fish and Wildlife horseshoe crab tagging database to estimate the differences in survival and recapture rates of bled and not bled horseshoe crabs tagged in the same years and geographic area. Contrary to expectation, survival was not lower for bled crabs compared to unbled crabs. Differences varied, but survival estimates tended to be higher for bled crabs than for unbled crabs. However, biomedical culling and selection for younger or healthier animals could have resulted in biomedically tagged individuals representing a healthier subset of the overall population with subsequent higher survival. Furthermore, the tagging analysis revealed a post-bleeding reduction in capture probability, which could indicate decreased spawning activity, evident in males more than females. Continued tagging of bled and unbled crabs in the same geographic area while recording age class and sex will contribute to the further resolution of LAL production’s effect on horseshoe crab populations.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2020.607668","usgsCitation":"Smith, D.R., Newhard, J., McGowan, C.P., and Butler, C.A., 2020, The Long-term effect of bleeding for Limulus amebocyte lysate on annual survival and recapture of tagged horseshoe crabs: Frontiers in Marine Science, v. 7, 607668, 13 p., https://doi.org/10.3389/fmars.2020.607668.","productDescription":"607668, 13 p.","ipdsId":"IP-115044","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":454627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.607668","text":"Publisher Index Page"},{"id":388481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, Virginia","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.69580078125,\n              37.09900294387622\n            ],\n            [\n              -75.08056640625,\n              37.97018468810549\n            ],\n            [\n              -74.6630859375,\n              38.496593518947584\n            ],\n            [\n              -74.92675781249999,\n              38.950865400919994\n            ],\n            [\n              -74.8828125,\n              39.172658670429946\n            ],\n            [\n              -75.509033203125,\n              39.46164364205549\n            ],\n            [\n              -75.421142578125,\n              39.257778150283364\n            ],\n            [\n              -75.30029296875,\n              38.89958342598271\n            ],\n            [\n              -75.12451171875,\n              38.685509760012\n            ],\n            [\n              -75.146484375,\n              38.53097889440024\n            ],\n            [\n              -75.135498046875,\n              38.272688535980976\n            ],\n            [\n              -75.30029296875,\n              38.151837403006766\n            ],\n            [\n              -75.7177734375,\n              37.55328764595765\n            ],\n            [\n              -75.89355468749999,\n              37.274052809979054\n            ],\n            [\n              -75.69580078125,\n              37.09900294387622\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2020-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":821862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newhard, Joshua","contributorId":264675,"corporation":false,"usgs":false,"family":"Newhard","given":"Joshua","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":821863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":167162,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":821864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, C. Alyssa","contributorId":264748,"corporation":false,"usgs":false,"family":"Butler","given":"C.","email":"","middleInitial":"Alyssa","affiliations":[],"preferred":false,"id":821933,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216954,"text":"sim3467 - 2020 - Bathymetric map, surface area, and capacity of Grand Lake O’ the Cherokees, northeastern Oklahoma, 2019","interactions":[],"lastModifiedDate":"2020-12-22T12:34:16.328212","indexId":"sim3467","displayToPublicDate":"2020-12-21T05:56:20","publicationYear":"2020","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":"3467","displayTitle":"Bathymetric Map, Surface Area, and Capacity of Grand Lake O’ the Cherokees, Northeastern Oklahoma, 2019","title":"Bathymetric map, surface area, and capacity of Grand Lake O’ the Cherokees, northeastern Oklahoma, 2019","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Grand River Dam Authority, completed a high-resolution multibeam bathymetric survey to compute a new area and capacity table for Grand Lake O’ the Cherokees in northeastern Oklahoma. Area and capacity tables identify the relation between the elevation of the water surface and the volume of water that can be impounded at each water-surface elevation. The area and capacity of Grand Lake O’ the Cherokees were computed from a triangular irregular network surface created in Global Mapper Version 21.0.1. The triangular irregular network surface was created from three datasets: (1) a multibeam mapping system bathymetric survey of Grand Lake O’ the Cherokees completed during April–July 2019, (2) a previous bathymetric survey of the Neosho, Spring, and Elk Rivers, and (3) a 2010 USGS lidar-derived digital elevation model. The digital elevation model data were used in areas with land-surface elevations greater than 744 feet above the North American Vertical Datum of 1988 where the multibeam sonar data could not be collected. The 2019 multibeam sonar data were the predominant data used to compute the new area and capacity table for Grand Lake O’ the Cherokees.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3467","collaboration":"Prepared in cooperation with the Grand River Dam Authority","usgsCitation":"Hunter, S.L., Trevisan, A.R., Villa, J., and Smith, K.A., 2020, Bathymetric map, surface area, and capacity of Grand Lake O’ the Cherokees, northeastern Oklahoma, 2019: U.S. Geological Survey Scientific Investigations Map 3467, 2 sheets, https://doi.org/10.3133/sim3467.","productDescription":"2 Sheets: 36.00 x 42.00 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-116457","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":381444,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3467/coverthb.jpg"},{"id":381448,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3467/sim3467_sheet1.pdf","text":"Sheet 1","size":"5.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3467 Sheet 1"},{"id":381449,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3467/sim3467_sheet2.pdf","text":"Sheet 2","size":"26.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3467 Sheet 2"},{"id":381450,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KA2T3Z","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Data release of bathymetric map, surface area, and capacity of Grand Lake O’ the Cherokees, northeastern Oklahoma, 2019"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Grand Lake O’ the Cherokees","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.10589599609375,\n              36.436751611390264\n            ],\n            [\n              -94.60601806640625,\n              36.436751611390264\n            ],\n            [\n              -94.60601806640625,\n              36.8510544475565\n            ],\n            [\n              -95.10589599609375,\n              36.8510544475565\n            ],\n            [\n              -95.10589599609375,\n              36.436751611390264\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/tx-water/\" href=\"https://www.usgs.gov/centers/tx-water/\">Oklahoma-Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane <br>Austin, Texas 78754–4501 </p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of the Study Area</li><li>Methods of Bathymetric Survey and Data Analysis</li><li>Bathymetric Data-Collection Quality Assurance</li><li>Bathymetric Surface and Contour Quality Assurance</li><li>Bathymetry, Surface Area, and Capacity Results</li><li>References</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-12-21","noUsgsAuthors":false,"publicationDate":"2020-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hunter, Shelby L. 0000-0002-3049-7498 slhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-3049-7498","contributorId":196727,"corporation":false,"usgs":true,"family":"Hunter","given":"Shelby","email":"slhunter@usgs.gov","middleInitial":"L.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trevisan, A.R. 0000-0002-7295-145X","orcid":"https://orcid.org/0000-0002-7295-145X","contributorId":220399,"corporation":false,"usgs":true,"family":"Trevisan","given":"A.R.","email":"","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villa, Jennifer 0000-0002-4774-7166","orcid":"https://orcid.org/0000-0002-4774-7166","contributorId":245824,"corporation":false,"usgs":true,"family":"Villa","given":"Jennifer","email":"","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kevin A. 0000-0001-6846-5929","orcid":"https://orcid.org/0000-0001-6846-5929","contributorId":50612,"corporation":false,"usgs":true,"family":"Smith","given":"Kevin","email":"","middleInitial":"A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807069,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219507,"text":"70219507 - 2020 - Subsea permafrost carbon stocks and climate change sensitivity estimated by expert assessment","interactions":[],"lastModifiedDate":"2021-04-13T12:19:18.267915","indexId":"70219507","displayToPublicDate":"2020-12-20T11:37:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Subsea permafrost carbon stocks and climate change sensitivity estimated by expert assessment","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>The continental shelves of the Arctic Ocean and surrounding seas contain large stocks of organic matter (OM) and methane (CH<sub>4</sub>), representing a potential ecosystem feedback to climate change not included in international climate agreements. We performed a structured expert assessment with 25 permafrost researchers to combine quantitative estimates of the stocks and sensitivity of organic carbon in the subsea permafrost domain (i.e. unglaciated portions of the continental shelves exposed during the last glacial period). Experts estimated that the subsea permafrost domain contains ~560 gigatons carbon (GtC; 170–740, 90% confidence interval) in OM and 45 GtC (10–110) in CH<sub>4</sub>. Current fluxes of CH<sub>4</sub><span>&nbsp;</span>and carbon dioxide (CO<sub>2</sub>) to the water column were estimated at 18 (2–34) and 38 (13–110) megatons C yr<sup>−1</sup>, respectively. Under Representative Concentration Pathway (RCP) RCP8.5, the subsea permafrost domain could release 43 Gt CO<sub>2</sub>-equivalent (CO<sub>2</sub>e) by 2100 (14–110) and 190 Gt CO<sub>2</sub>e by 2300 (45–590), with ~30% fewer emissions under RCP2.6. The range of uncertainty demonstrates a serious knowledge gap but provides initial estimates of the magnitude and timing of the subsea permafrost climate feedback.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/abcc29","usgsCitation":"Sayedi, S., Thornton, B., Abbott, B., Frederick, J.M., Vonk, J.E., Overduin, P., Schadel, C., Schuur, E., Bourbonnais, A., Demidova, N., Gavrilov, A., He, S., Gustaf Hugelius, G., Jakobsson, M., Jones, M.C., Joung, D., Kraev, G., Macdonald, R.W., McGuire, A.D., Mu, C., O’Regan, M., Schreiner, K.M., Stranne, C., Pizhankova, E., Vasiliev, A., Westermann, S., Zarnetske, J.P., Zhang, T., Ghandehari, M., Baeumler, S., Brown, B.C., and Frei, R.J., 2020, Subsea permafrost carbon stocks and climate change sensitivity estimated by expert assessment: Environmental Research Letters, v. 15, no. 12, 124075, 13 p., https://doi.org/10.1088/1748-9326/abcc29.","productDescription":"124075, 13 p.","ipdsId":"IP-118667","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":454630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/abcc29","text":"Publisher Index Page"},{"id":385030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Sayedi, Sara 0000-0001-5272-4383","orcid":"https://orcid.org/0000-0001-5272-4383","contributorId":257232,"corporation":false,"usgs":false,"family":"Sayedi","given":"Sara","email":"","affiliations":[{"id":48387,"text":"BYU","active":true,"usgs":false}],"preferred":false,"id":813833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thornton, B.F. 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0000-0003-2414-778X","orcid":"https://orcid.org/0000-0003-2414-778X","contributorId":208631,"corporation":false,"usgs":false,"family":"Frederick","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[{"id":37851,"text":"Sandia National Laboratories, Albuquerque, New Mexico, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":814014,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vonk, Jorien E.","contributorId":150794,"corporation":false,"usgs":false,"family":"Vonk","given":"Jorien","email":"","middleInitial":"E.","affiliations":[{"id":18101,"text":"Utrecht University, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":814015,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Overduin, Paul","contributorId":248328,"corporation":false,"usgs":false,"family":"Overduin","given":"Paul","email":"","affiliations":[{"id":49850,"text":"Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":814016,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schadel, Christina","contributorId":202385,"corporation":false,"usgs":false,"family":"Schadel","given":"Christina","email":"","affiliations":[{"id":36405,"text":"University of Northern Arizona","active":true,"usgs":false}],"preferred":false,"id":814017,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schuur, E.A.G.","contributorId":199638,"corporation":false,"usgs":false,"family":"Schuur","given":"E.A.G.","email":"","affiliations":[],"preferred":false,"id":814018,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bourbonnais, A.","contributorId":248726,"corporation":false,"usgs":false,"family":"Bourbonnais","given":"A.","email":"","affiliations":[{"id":49991,"text":"University of South Carolina, School of the Earth, Ocean and Environment, South Carolina","active":true,"usgs":false}],"preferred":false,"id":814019,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Demidova, N.","contributorId":61659,"corporation":false,"usgs":true,"family":"Demidova","given":"N.","email":"","affiliations":[],"preferred":false,"id":814020,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gavrilov, Anatoly","contributorId":209709,"corporation":false,"usgs":false,"family":"Gavrilov","given":"Anatoly","email":"","affiliations":[{"id":37971,"text":"Directorate of Taimyrsky Reserves","active":true,"usgs":false}],"preferred":false,"id":814021,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"He, Shengping 0000-0003-4245-357X","orcid":"https://orcid.org/0000-0003-4245-357X","contributorId":257293,"corporation":false,"usgs":false,"family":"He","given":"Shengping","email":"","affiliations":[{"id":28158,"text":"University of 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miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":814025,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Joung, DoongJoo 0000-0002-2711-3780","orcid":"https://orcid.org/0000-0002-2711-3780","contributorId":245909,"corporation":false,"usgs":false,"family":"Joung","given":"DoongJoo","email":"","affiliations":[{"id":37381,"text":"University of Rochester","active":true,"usgs":false}],"preferred":false,"id":814026,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kraev, Gleb","contributorId":257294,"corporation":false,"usgs":false,"family":"Kraev","given":"Gleb","email":"","affiliations":[{"id":28162,"text":"Vrije University Amsterdam","active":true,"usgs":false},{"id":12544,"text":"Russian Academy of Sciences, Moscow, Russia","active":true,"usgs":false}],"preferred":false,"id":814027,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Macdonald, Robie W.","contributorId":167171,"corporation":false,"usgs":false,"family":"Macdonald","given":"Robie","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":814028,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":814029,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Mu, Cuicui","contributorId":168877,"corporation":false,"usgs":false,"family":"Mu","given":"Cuicui","email":"","affiliations":[{"id":25375,"text":"Lanzhou University, PR China","active":true,"usgs":false}],"preferred":false,"id":814030,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"O’Regan, M.","contributorId":38361,"corporation":false,"usgs":true,"family":"O’Regan","given":"M.","email":"","affiliations":[],"preferred":false,"id":814031,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Schreiner, Kathryn M.","contributorId":201540,"corporation":false,"usgs":false,"family":"Schreiner","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[{"id":36192,"text":"Large Lakes Observatory, University of Minnesota Duluth, Duluth, Minnesota, USA.","active":true,"usgs":false}],"preferred":false,"id":814032,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Stranne, Christian","contributorId":166862,"corporation":false,"usgs":false,"family":"Stranne","given":"Christian","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":814033,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Pizhankova, Elena","contributorId":257306,"corporation":false,"usgs":false,"family":"Pizhankova","given":"Elena","email":"","affiliations":[{"id":16615,"text":"Moscow State University","active":true,"usgs":false}],"preferred":false,"id":814034,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Vasiliev, A.","contributorId":216063,"corporation":false,"usgs":false,"family":"Vasiliev","given":"A.","email":"","affiliations":[],"preferred":false,"id":814035,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Westermann, S.","contributorId":216066,"corporation":false,"usgs":false,"family":"Westermann","given":"S.","email":"","affiliations":[],"preferred":false,"id":814036,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Zarnetske, Jay P.","contributorId":210073,"corporation":false,"usgs":false,"family":"Zarnetske","given":"Jay","email":"","middleInitial":"P.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":814043,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Zhang, Tingjun","contributorId":66600,"corporation":false,"usgs":false,"family":"Zhang","given":"Tingjun","affiliations":[{"id":28117,"text":"Lanzhou University, Lanzhou, China","active":true,"usgs":false}],"preferred":false,"id":814044,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Ghandehari, M","contributorId":196539,"corporation":false,"usgs":false,"family":"Ghandehari","given":"M","email":"","affiliations":[],"preferred":false,"id":814045,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Baeumler, Sarah 0000-0003-1772-8180","orcid":"https://orcid.org/0000-0003-1772-8180","contributorId":257317,"corporation":false,"usgs":false,"family":"Baeumler","given":"Sarah","email":"","affiliations":[{"id":32910,"text":"Ludwig-Maximilians-Universität Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":814046,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Brown, Brian C.","contributorId":257319,"corporation":false,"usgs":false,"family":"Brown","given":"Brian","email":"","middleInitial":"C.","affiliations":[{"id":48387,"text":"BYU","active":true,"usgs":false}],"preferred":false,"id":814047,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Frei, Rebecca J.","contributorId":247665,"corporation":false,"usgs":false,"family":"Frei","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":814048,"contributorType":{"id":1,"text":"Authors"},"rank":32}]}}
,{"id":70217861,"text":"70217861 - 2020 - Building loss in WUI disasters: Evaluating the core components of the wildland-urban interface definition","interactions":[],"lastModifiedDate":"2021-02-08T13:41:21.059551","indexId":"70217861","displayToPublicDate":"2020-12-20T07:39:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5678,"text":"Fire","active":true,"publicationSubtype":{"id":10}},"title":"Building loss in WUI disasters: Evaluating the core components of the wildland-urban interface definition","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Accurate maps of the wildland–urban interface (WUI) are critical for the development of effective land management policies, conducting risk assessments, and the mitigation of wildfire risk. Most WUI maps identify areas at risk from wildfire by overlaying coarse-scale housing data with land cover or vegetation data. However, it is unclear how well the current WUI mapping methods capture the patterns of building loss. We quantified the building loss in WUI disasters, and then compared how well census-based and point-based WUI maps captured the building loss. We examined the building loss in both WUI and non-WUI land-use types, and in relation to the core components of the United States Federal Register WUI definition: housing density, vegetation cover, and proximity to large patches of wildland vegetation. We used building location data from 70 large fires in the conterminous United States, which cumulatively destroyed 54,000 buildings from 2000 through to 2018. We found that: (1) 86% and 97% of the building loss occurred in areas designated as WUI using the census-based and point-based methods, respectively; (2) 95% and 100% of all of the losses occurred within 100 m and 850 m of wildland vegetation, respectively; and (3) WUI components were the most predictive of building loss when measured at fine scales.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div>","language":"English","publisher":"MDPI","doi":"10.3390/fire3040073","usgsCitation":"Caggiano, M.D., Hawbaker, T., Gannon, B., and Hoffman, C., 2020, Building loss in WUI disasters: Evaluating the core components of the wildland-urban interface definition: Fire, v. 3, no. 4, 73, 17 p., https://doi.org/10.3390/fire3040073.","productDescription":"73, 17 p.","ipdsId":"IP-123866","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":454632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fire3040073","text":"Publisher Index Page"},{"id":383088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Caggiano, Michael D.","contributorId":175232,"corporation":false,"usgs":false,"family":"Caggiano","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":809953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":809954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gannon, Benjamin","contributorId":248813,"corporation":false,"usgs":false,"family":"Gannon","given":"Benjamin","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":809955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoffman, Chad ","contributorId":175234,"corporation":false,"usgs":false,"family":"Hoffman","given":"Chad ","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":809956,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70249387,"text":"70249387 - 2020 - Gas hydrate quantification in Walker Ridge block 313, Gulf of Mexico, from full-waveform inversion of ocean-bottom seismic data","interactions":[],"lastModifiedDate":"2023-10-05T12:23:00.788749","indexId":"70249387","displayToPublicDate":"2020-12-20T07:17:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3906,"text":"Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Gas hydrate quantification in Walker Ridge block 313, Gulf of Mexico, from full-waveform inversion of ocean-bottom seismic data","docAbstract":"<div id=\"125397548\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>The Gulf of Mexico (GOM) Joint Industry Project Leg 2 logging-while-drilling data in Walker Ridge lease block 313 (WR313) in the GOM detected gas hydrate in coarse- and fine-grained sediments at sites WR313-G and WR313-H. The coarse-grained units are thin (<span class=\"inline-formula no-formula-id\">⁠<span class=\"MathJax_Preview\"><span id=\"MJXp-Span-1\" class=\"MJXp-math\"><span id=\"MJXp-Span-2\" class=\"MJXp-mrow\"><span id=\"MJXp-Span-3\" class=\"MJXp-mo\">&lt;</span><span id=\"MJXp-Span-4\" class=\"MJXp-mn\">10</span><span id=\"MJXp-Span-5\" class=\"MJXp-mtext\">  </span><span id=\"MJXp-Span-6\" class=\"MJXp-mi\">m</span></span></span></span>⁠</span>) and highly saturated, whereas the fine-grained unit is thick (approximately 200&nbsp;m) with low saturation and fracture-filling gas hydrate. Unlike its coarse-grained counterpart, the seismic character of the fine-grained unit does not clearly indicate the presence of gas hydrate, which would likely have remained undiscovered in the absence of drilling. In this paper, through frequency-domain acoustic full-waveform inversion (FWI) of ocean-bottom seismometer data along a 2D multichannel seismic transect near sites WR313-G and WR313-H, we detect and quantify gas hydrate in the fine-grained unit. Key results are as follows: First, the base of the gas hydrate stability zone, which is not obvious in the reflection profile, can be discerned in the FWI results. Second, the gas hydrate in the fine-grained unit is mainly confined to the area between two sets of opposite-dipping normal faults implying that the fault architecture may be partially responsible for this gas hydrate accumulation and distribution.</p></div>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/INT-2018-0165.1","usgsCitation":"Wang, J., Jaiswal, P., Haines, S.S., Yang, Y., and Hart, P.E., 2020, Gas hydrate quantification in Walker Ridge block 313, Gulf of Mexico, from full-waveform inversion of ocean-bottom seismic data: Interpretation, v. 8, no. 1, p. T27-T42, https://doi.org/10.1190/INT-2018-0165.1.","productDescription":"16 p.","startPage":"T27","endPage":"T42","ipdsId":"IP-101701","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":421672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.65078172500313,\n              29.442159076439353\n            ],\n            [\n              -92.65078172500313,\n              26.453314221515612\n            ],\n            [\n              -88.51962045154175,\n              26.453314221515612\n            ],\n            [\n              -88.51962045154175,\n              29.442159076439353\n            ],\n            [\n              -92.65078172500313,\n              29.442159076439353\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Jiliang","contributorId":330613,"corporation":false,"usgs":false,"family":"Wang","given":"Jiliang","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":885431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaiswal, Priyank","contributorId":330614,"corporation":false,"usgs":false,"family":"Jaiswal","given":"Priyank","affiliations":[{"id":78942,"text":"Oklahoma State Univ","active":true,"usgs":false}],"preferred":false,"id":885432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":885433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Yihong","contributorId":330615,"corporation":false,"usgs":false,"family":"Yang","given":"Yihong","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":885434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":885435,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216971,"text":"70216971 - 2020 - Potomac tributary report: A summary of trends in tidal water quality and associated factors","interactions":[],"lastModifiedDate":"2023-08-22T13:01:40.234084","indexId":"70216971","displayToPublicDate":"2020-12-18T13:14:18","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Potomac tributary report: A summary of trends in tidal water quality and associated factors","docAbstract":"The Potomac Tributary Report summarizes change over time in a suite of monitored tidal water quality parameters and associated potential drivers of those trends for the time period 1985 – 2018, and provides a brief description of the current state of knowledge explaining these observed changes. Water quality parameters described include surface total nitrogen (TN), surface total phosphorus (TP), spring and summer surface chlorophyll a, summer bottom dissolved oxygen (DO) concentrations, and Secchi disk depth (a measure of water clarity). Results for annual surface water temperature, bottom TP, bottom TN, surface ortho-phosphate (PO4), surface dissolved inorganic nitrogen (DIN), surface total suspended solids (TSS), and summer surface DO concentrations are provided in an Appendix.  Drivers discussed include physiographic watershed characteristics, changes in N, P, and sediment loads from the watershed to tidal waters, expected effects of changing land use, and implementation of nutrient management and natural resource conservation practices.  Factors internal to estuarine waters that also play a role as drivers are described including biogeochemical processes, physical forces such as wind-driven mixing of the water column, and biological factors such as phytoplankton biomass and the presence of submersed aquatic vegetation.\n\nTotal nutrient concentrations have been decreasing at most stations in the Potomac River over the long-term, with improvements persisting in the last 10 years as well. These trends follow from the decreasing discharge from TN and TP sources in the watershed. The TP source reductions are not as apparent in the direct loads to the river, which may be part of the reason that tidal nutrient concentrations are not decreasing at as many stations in the short-term as the long-term.  While degrading chlorophyll a and Secchi depth trends at several Potomac monitoring stations are concerning, recent improvements in summer oxygen concentrations are promising. The findings that chlorophyll a concentrations in the lower Potomac have either leveled out or improved may suggest a smaller amount of phytoplankton biomass available to fuel summer oxygen depletion. The responses of chlorophyll a, Secchi depth, and bottom DO are mixed in the Potomac tidal waters, but there are multiple possible reasons for this lag in response. Continuing to track water quality response and investigating these possibilities are important steps to understanding water quality patterns and changes in the Potomac River.","language":"English","publisher":"Chesapeake Bay Program Office","usgsCitation":"Keisman, J.L., Murphy, R., Devereux, O., Harcum, J., Karrh, R., Lane, M., Perry, E., Webber, J.S., Wei, Z., Zhang, Q., and Petenbrink, M.N., 2020, Potomac tributary report: A summary of trends in tidal water quality and associated factors, 48 p.","productDescription":"48 p.","ipdsId":"IP-116578","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":420011,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://cast-content.chesapeakebay.net/documents/TribSummaries%2FPotomac%20Tidal%20Tributary%20Report%20Final%202020-12-18.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":382768,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":387867,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://cast.chesapeakebay.net/Home/TMDLTracking#tributaryRptsSection","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Pennsylvania, Virginia, West Viginia","otherGeospatial":"Potomic River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.1123046875,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":807119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Rebecca 0000-0003-3391-1823","orcid":"https://orcid.org/0000-0003-3391-1823","contributorId":199777,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":true,"id":807120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Devereux, Olivia H. 0000-0002-3911-3307","orcid":"https://orcid.org/0000-0002-3911-3307","contributorId":198108,"corporation":false,"usgs":false,"family":"Devereux","given":"Olivia H.","affiliations":[],"preferred":false,"id":807121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harcum, J.","contributorId":248519,"corporation":false,"usgs":false,"family":"Harcum","given":"J.","affiliations":[],"preferred":false,"id":809301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karrh, R.","contributorId":248520,"corporation":false,"usgs":false,"family":"Karrh","given":"R.","affiliations":[],"preferred":false,"id":809302,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, M.","contributorId":248521,"corporation":false,"usgs":false,"family":"Lane","given":"M.","affiliations":[],"preferred":false,"id":809303,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perry, E.","contributorId":248522,"corporation":false,"usgs":false,"family":"Perry","given":"E.","email":"","affiliations":[],"preferred":false,"id":809304,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Webber, James S. 0000-0001-6636-1368","orcid":"https://orcid.org/0000-0001-6636-1368","contributorId":222000,"corporation":false,"usgs":true,"family":"Webber","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807122,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wei, Zhaoying","contributorId":245828,"corporation":false,"usgs":false,"family":"Wei","given":"Zhaoying","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":807123,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":807124,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Petenbrink, Meghan Nicole 0000-0002-2944-9691","orcid":"https://orcid.org/0000-0002-2944-9691","contributorId":245829,"corporation":false,"usgs":true,"family":"Petenbrink","given":"Meghan","email":"","middleInitial":"Nicole","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807125,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70223486,"text":"70223486 - 2020 - Estimating the invasion extent of Asian swamp eel (Monopterus: Synbranchidae) in an altered river of the south-eastern United States","interactions":[],"lastModifiedDate":"2021-08-30T13:25:27.947909","indexId":"70223486","displayToPublicDate":"2020-12-18T08:21:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the invasion extent of Asian swamp eel (Monopterus: Synbranchidae) in an altered river of the south-eastern United States","docAbstract":"<div class=\"journal-abstract green-item\"><p>The first reported invasion of Asian swamp eels (<i>Monopterus albus</i>, ASE) in the continental United States was in the state of Georgia in 1994. This population was first discovered within several ponds on a private nature centre, but the ponds drained via an outflow pipe into marsh habitats along the Chattahoochee River. Our objective was to delineate the current invasion extent of ASE in the Chattahoochee River, Georgia, by sampling juvenile ASE within an occupancy modelling framework. We sampled 111 and 100 sites in 2015 and 2016 respectively, on 10 occasions, each within a 2-km radius of the purported invasion point to estimate the spatial extent of their invasion in this system. Leaf-litter traps (LLTs) were effective at documenting an increase in the invasion extent of ASE, from within 100&nbsp;m of the Chattahoochee Nature Center pond outflow to 1.6&nbsp;km away. Documenting the extent of invasion of this population has proven elusive in the past, but the use of LLTs to target juvenile eels has documented a larger invasion extent than previously known in the study system. The results of this research can be used to develop effective control and management strategies, such as locating potential breeding areas for targeted removal sampling.</p></div>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/MF20257","usgsCitation":"Johnson, J., Taylor, A., and Long, J.M., 2020, Estimating the invasion extent of Asian swamp eel (Monopterus: Synbranchidae) in an altered river of the south-eastern United States: Marine and Freshwater Research, v. 72, no. 6, p. 811-822, https://doi.org/10.1071/MF20257.","productDescription":"12 p.","startPage":"811","endPage":"822","ipdsId":"IP-100884","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":388657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Chattahoochee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.078125,\n              33.25706340236547\n            ],\n            [\n              -85.078125,\n              33.30298618122413\n            ],\n            [\n              -85.330810546875,\n              33.119150226768866\n            ],\n            [\n              -85.25390625,\n              32.85190345738802\n            ],\n            [\n              -85.10009765625,\n              32.37068286611427\n            ],\n            [\n              -85.242919921875,\n              32.0639555946604\n            ],\n            [\n              -85.220947265625,\n              31.62532121329918\n            ],\n            [\n              -85.20996093749999,\n              31.50362930577303\n            ],\n            [\n              -85.177001953125,\n              31.156408414557\n            ],\n            [\n              -84.990234375,\n              30.89279747750818\n            ],\n            [\n              -84.88037109375,\n              30.62845887475364\n            ],\n            [\n              -84.6826171875,\n              30.817346256492073\n            ],\n            [\n              -84.891357421875,\n              31.175209828310845\n            ],\n            [\n              -84.990234375,\n              31.774877618507386\n            ],\n            [\n              -84.825439453125,\n              32.41706632846282\n            ],\n            [\n              -85.05615234375,\n              32.79651010951669\n            ],\n            [\n              -85.078125,\n              33.25706340236547\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"72","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, J. R.","contributorId":264886,"corporation":false,"usgs":false,"family":"Johnson","given":"J. R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":822139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, A. T.","contributorId":264887,"corporation":false,"usgs":false,"family":"Taylor","given":"A. T.","affiliations":[{"id":54572,"text":"University of Central Oklahoma","active":true,"usgs":false}],"preferred":false,"id":822140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":822141,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216992,"text":"70216992 - 2020 - Fish out of water: Insights from a case study of a highly social animal that failed the mirror self-recognition test","interactions":[],"lastModifiedDate":"2020-12-22T13:25:52.080479","indexId":"70216992","displayToPublicDate":"2020-12-18T07:25:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7476,"text":"International Journal of Comparative Psychology","active":true,"publicationSubtype":{"id":10}},"title":"Fish out of water: Insights from a case study of a highly social animal that failed the mirror self-recognition test","docAbstract":"<div id=\"main\"><div data-reactroot=\"\"><div class=\"body\"><div><div class=\"c-columns--sticky-sidebar\"><div class=\"c-tabs\"><div class=\"c-tabs__content\"><div class=\"c-tabcontent\"><div id=\"details-content\"><div class=\"c-clientmarkup\"><p>Mirror self-recognition (MSR) tests have been conducted with a variety of species with the aim of examining whether subject animals have the capacity for self-awareness. To date, the majority of animals that have convincingly passed are highly social mammals whose wild counterparts live in complex societies, though there is much debate concerning what constitutes passing and what passing means in terms of self-awareness. Amid recent reports that a fish (cleaner wrasse,<span>&nbsp;</span><i>Labroides dimidiatus</i>) passed, it is intriguing that a mammal as highly social, tolerant, attentive, and cooperative as the grey wolf (<i>Canis lupus</i>) reportedly failed the test. Given the many possible reasons for failure, we aimed to elucidate the wolves’ responses at various stages of the MSR test to pinpoint potential problem areas where species-appropriate modifications to the test may be needed. Thus, we evaluated 6 socialized, captive grey wolves as a case study of failed MSR in socially complex canids. At a minimum, wolves did not respond to their reflection as an unfamiliar conspecific. Unfortunately, the wolves rapidly lost interest in the mirror and were uninterested in the applied marks. We note limitations of the MSR test for this species, recommend changes for future MSR tests of wolves, discuss other emerging self-cognizance methods for socially complex canids, and highlight the need for a suite of ecologically relevant, potentially scalable self-cognizance methods. Our findings and recommendations may aid in understanding self-cognizance in other untested highly social, cooperatively-hunting, coursing, terrestrial carnivores such as African wild dogs (<i>Lycaon pictus</i>), spotted hyenas (<i>Crocuta crocuta</i>), and African lions (<i>Panthera leo</i>).</p></div></div></div></div></div></div></div></div></div></div>","language":"English","publisher":"UCLA","usgsCitation":"Barber-Meyer, S., and Schmidt, L.J., 2020, Fish out of water: Insights from a case study of a highly social animal that failed the mirror self-recognition test: International Journal of Comparative Psychology, v. 33, 16 p.","productDescription":"16 p.","ipdsId":"IP-090921","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":381567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381566,"type":{"id":15,"text":"Index Page"},"url":"https://escholarship.org/uc/item/0bk066tc"}],"volume":"33","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":217941,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":807184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Lori J.","contributorId":245856,"corporation":false,"usgs":false,"family":"Schmidt","given":"Lori","email":"","middleInitial":"J.","affiliations":[{"id":49346,"text":"International Wolf Center, Ely, MN","active":true,"usgs":false}],"preferred":false,"id":807185,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70217203,"text":"70217203 - 2020 - Editorial: Plant-soil interactions under changing climate","interactions":[],"lastModifiedDate":"2021-01-12T13:16:27.333702","indexId":"70217203","displayToPublicDate":"2020-12-18T07:15:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5725,"text":"Frontiers in Plant Science","active":true,"publicationSubtype":{"id":10}},"title":"Editorial: Plant-soil interactions under changing climate","docAbstract":"<p class=\"mb15\">The health and well-being of plants and soil is crucial for all life on Earth. It is well-known that vegetation cover follows climatic zones, and plants respond to climatic drivers such as temperature and precipitation (Seddon et al., 2016;<span>&nbsp;</span>Kattge et al., 2020). It is also well-known that plant health depends on the properties and health of the soil (Ephrath et al., 2020), and that strong interactions among biota above and belowground dictate the functioning of both realms (Van der Putten et al., 2013). Yet, soils and the processes occurring belowground are often considered a “black box,” and are treated very simplistically in our efforts to understand, quantify, and model the future of the planet. Our understanding of the interactions between plants and soils is also far from complete and offers some of the most important research frontiers in community ecology, biogeochemistry, and global change science.</p>","language":"English","publisher":"Frontiers","doi":"10.3389/fpls.2020.621235","usgsCitation":"Sevanto, S., Grossiord, C., Klein, T., and Reed, S., 2020, Editorial: Plant-soil interactions under changing climate: Frontiers in Plant Science, v. 11, 621235, 2 p., https://doi.org/10.3389/fpls.2020.621235.","productDescription":"621235, 2 p.","ipdsId":"IP-124196","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":454637,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fpls.2020.621235","text":"Publisher Index Page"},{"id":382085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2020-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Sevanto, Sanna","contributorId":150845,"corporation":false,"usgs":false,"family":"Sevanto","given":"Sanna","email":"","affiliations":[],"preferred":false,"id":807980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grossiord, Charlotte","contributorId":207749,"corporation":false,"usgs":false,"family":"Grossiord","given":"Charlotte","email":"","affiliations":[{"id":37625,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":807981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klein, Tamir","contributorId":181981,"corporation":false,"usgs":false,"family":"Klein","given":"Tamir","email":"","affiliations":[],"preferred":false,"id":807982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":807983,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216898,"text":"sim3458 - 2020 - Geologic map and borehole stratigraphy of Hinkley Valley and vicinity, San Bernardino County, California","interactions":[],"lastModifiedDate":"2021-01-04T19:40:40.811178","indexId":"sim3458","displayToPublicDate":"2020-12-18T06:45:39","publicationYear":"2020","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":"3458","displayTitle":"Geologic Map and Borehole Stratigraphy of Hinkley Valley and Vicinity, San Bernardino County, California","title":"Geologic map and borehole stratigraphy of Hinkley Valley and vicinity, San Bernardino County, California","docAbstract":"<p>Hinkley Valley, in the central to western Mojave Desert of southeastern California, has a long historical record owing to its position as a crossroads for rail and road traffic and its position adjacent to the Mojave River. Subflow in the Mojave River provided groundwater recharge that maintained water consumption and demand by way of shallow wells for local agriculture in the valley. Its crossroads position led to construction of several power-transmission lines, pipeline, and communications cable routes that transect Hinkley Valley. One of these, a natural gas pipeline and its associated compressor station, was the locus of hexavalent chromium, Cr(VI), released into, and consequent contamination of, groundwater. Understanding the movement and fate of the contaminants is a complex hydrologic and geochemical problem. Geologic mapping of the Hinkley Valley area provides framework elements for use in resolving this problem. This report provides new information on surface and subsurface geology to better constrain the origin and geometry of hydrologically important deposits in the Hinkley Valley area and describes youthful faults that may control sediment distribution and groundwater flow. The geologic map (sheet 1) presents substantial new information on surficial geology, including Pliocene deposits, but does not contain significant new work on bedrock. Bedrock investigations were specific to identifying youthful faults and representative outcrops for rocks that were penetrated by boreholes in the valley. Special attention was placed on locating and describing youthful faults. In addition, we analyzed gravity data to (1) map horizontal gradients that we interpret to reflect long-term fault traces and to (2) estimate the depth to bedrock, which is defined as Miocene and older intrusive and metamorphic rocks for the purposes of this report. The subsurface geology of Hinkley Valley was investigated by examining borehole sediment cores and rock encountered at the base of the sediment section. We analyzed the core to determine depositional environments, provenance, and age of the sediment that infilled the valley. Valleys, mountains, and basins in the Hinkley Valley area are topographically complex and incompletely named. The nearly flat floored Hinkley Valley slopes gently northward. It is framed by Mount General and the informally named “Hinkley hills” (southeast of Mount General) on the northeast and by Iron Mountain and Lynx Cat Mountain on the southwest, although breaks in the western mountains allow stream connections between Hinkley Valley and another valley to the west that is herein referred to as Hawes valley. At its south end, Hinkley Valley is traversed by the entrenched Mojave River, which passes east out of the valley past Barstow. North of Hinkley Valley, a few low hills (including Red Hill) separate the valley from a broad west-sloping piedmont that is part of the physiographic Harper Basin (of which the Harper Lake playa is the center). The lower part of this piedmont, however, is referred to as Water Valley, although it is not a distinct valley. The name derives from groundwater sourced from subflow in the Mojave River, which caused shallow water and even artesian flow in Water Valley but not in other parts of the Harper Basin. When water filled the Harper Basin to form Pleistocene Lake Harper it not only submerged Water Valley but also northern Hinkley Valley.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3458","collaboration":"Prepared in cooperation with the Lahontan Regional Water Quality Control Board and the State Water Resources Control Board","usgsCitation":"Miller, D.M., Langenheim, V.E., and Haddon, E.K., 2020, Geologic map and borehole stratigraphy of Hinkley Valley and vicinity, San Bernardino County, California: U.S. Geological Survey Scientific Investigations Map 3458, pamphlet 23 p., 2 sheets, scale 1:24,000, https://doi.org/10.3133/sim3458.","productDescription":"Pamphlet,: iv, 23 p.; 2 Sheets ; 2 Tables; Database; Data Release; Metadata","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-102109","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":381271,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_sheet2.pdf","text":"Sheet 2","size":"32 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":381270,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_sheet1.pdf","text":"Sheet 1","size":"40 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":381269,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_database.zip","text":"Database","size":"7.5 MB","linkFileType":{"id":6,"text":"zip"}},{"id":381268,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_base.zip","text":"Base","size":"1.25 GB","linkFileType":{"id":6,"text":"zip"}},{"id":381267,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_metadata.txt","size":"10 KB","linkFileType":{"id":2,"text":"txt"}},{"id":381266,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_pamphlet.pdf","text":"Pamphlet","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":381451,"rank":10,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FV5LG5","linkHelpText":"Gravity data of the Hinkley area, southern California"},{"id":381273,"rank":9,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_table_7.xlsx","text":"Table 7","size":"60 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":381265,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3458/covrthb.jpg"},{"id":381272,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_table_3.xlsx","text":"Table 3","size":"20 KB","linkFileType":{"id":3,"text":"xlsx"}}],"country":"United States","state":"California","county":"San Bernadino County","otherGeospatial":"Hinkley Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.26257324218749,\n              34.80647431931937\n            ],\n            [\n              -117.06619262695312,\n              34.80647431931937\n            ],\n            [\n              -117.06619262695312,\n              35.060352812431496\n            ],\n            [\n              -117.26257324218749,\n              35.060352812431496\n            ],\n            [\n              -117.26257324218749,\n              34.80647431931937\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg/employee-directory\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg/employee-directory\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Menlo Park, California</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025-3591</p>","tableOfContents":"<ul><li>Introduction</li><li>Geologic Setting</li><li>Methods</li><li>Previous Work</li><li>Stratigraphy and Structure</li><li>Borehole Stratigraphy</li><li>Hydrologic Implications</li><li>Geologic Map</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-12-17","noUsgsAuthors":false,"publicationDate":"2020-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":806859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":206978,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":806860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haddon, Elizabeth K. 0000-0001-7601-7755","orcid":"https://orcid.org/0000-0001-7601-7755","contributorId":238720,"corporation":false,"usgs":true,"family":"Haddon","given":"Elizabeth K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":806861,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216956,"text":"70216956 - 2020 - Permafrost mapping with electrical resistivity tomography in two wetland systems north of the Tanana River, Interior Alaska","interactions":[],"lastModifiedDate":"2022-11-14T16:56:56.383567","indexId":"70216956","displayToPublicDate":"2020-12-17T19:02:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3928,"text":"Journal of Environmental & Engineering Geophysics","printIssn":"1083-1363","active":true,"publicationSubtype":{"id":10}},"title":"Permafrost mapping with electrical resistivity tomography in two wetland systems north of the Tanana River, Interior Alaska","docAbstract":"<p><span>Surface-based 2D electrical resistivity tomography (ERT) surveys were used to characterize permafrost distribution at wetland sites on the alluvial plain north of the Tanana River, 20 km southwest of Fairbanks, Alaska, in June and September 2014. The sites were part of an ecologically-sensitive research area characterizing biogeochemical response of this region to warming and permafrost thaw, and the site contained landscape features characteristic of interior Alaska, including thermokarst bog, forested permafrost plateau, and a rich fen. The results show how vegetation reflects shallow (0–10 m depth) permafrost distribution. Additionally, we saw shallow (0–3 m depth) low resistivity areas in forested permafrost plateau potentially indicating the presence of increased unfrozen water content as a precursor to ground instability and thaw. Time-lapse study from June to September suggested a depth of seasonal influence extending several meters below the active layer, potentially as a result of changes in unfrozen water content. A comparison of several electrode geometries (dipole-dipole, extended dipole-dipole, Wenner-Schlumberger) showed that for depths of interest to our study (0–10 m) results were similar, but data acquisition time with dipole-dipole was the shortest, making it our preferred geometry. The results show the utility of ERT surveys to characterize permafrost distribution at these sites, and how vegetation reflects shallow permafrost distribution. These results are valuable information for ecologically sensitive areas where ground-truthing can cause excessive disturbance. ERT data can be used to characterize the exact subsurface geometry of permafrost such that over time an understanding of changing permafrost conditions can be made in great detail. Characterizing the depth of thaw and thermal influence from the surface in these areas also provides important information as an indication of the depth to which carbon storage and microbially-mediated carbon processing may be affected.</span></p>","language":"English","publisher":"Environmental & Engineering Geophysical Society","doi":"10.2113/JEEG19-091","usgsCitation":"Conaway, C., Johnson, C., Lorenson, T., Turetsky, M.R., Euskirchen, E., Waldrop, M., and Swarzenski, P.W., 2020, Permafrost mapping with electrical resistivity tomography in two wetland systems north of the Tanana River, Interior Alaska: Journal of Environmental & Engineering Geophysics, v. 2, no. 25, p. 199-209, https://doi.org/10.2113/JEEG19-091.","productDescription":"11 p.","startPage":"199","endPage":"209","ipdsId":"IP-102186","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":436695,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KTHH8X","text":"USGS data release","linkHelpText":"Permafrost Mapping in Two Wetland Systems North of the Tanana River in Interior Alaska 2014"},{"id":381485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tanana River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -148.19732666015625,\n              64.72374428370091\n            ],\n            [\n              -148.4197998046875,\n              64.86527470612393\n            ],\n            [\n              -149.117431640625,\n              64.83959712503844\n            ],\n            [\n              -149.095458984375,\n              64.63564536799623\n            ],\n            [\n              -149.07073974609375,\n              64.57321597426092\n            ],\n            [\n              -148.7274169921875,\n              64.59561280029605\n            ],\n            [\n              -148.66973876953125,\n              64.63917482390902\n            ],\n            [\n              -148.392333984375,\n              64.66621875267623\n            ],\n            [\n              -148.19732666015625,\n              64.72374428370091\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","issue":"25","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Conaway, Christopher H. 0000-0002-0991-033X","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":201932,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":807080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Cordell 0000-0001-8353-8030","orcid":"https://orcid.org/0000-0001-8353-8030","contributorId":212817,"corporation":false,"usgs":true,"family":"Johnson","given":"Cordell","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":807081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":807082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":807083,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Euskirchen, Eugénie S.","contributorId":83378,"corporation":false,"usgs":false,"family":"Euskirchen","given":"Eugénie S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":807084,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waldrop, Mark 0000-0003-1829-7140","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":216758,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","affiliations":[],"preferred":true,"id":807085,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":189823,"corporation":false,"usgs":false,"family":"Swarzenski","given":"Peter","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":807086,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70218740,"text":"70218740 - 2020 - Book review of \"Plant anatomy—A concept based approach to the structure of seed plants\"","interactions":[],"lastModifiedDate":"2021-03-10T14:29:15.726312","indexId":"70218740","displayToPublicDate":"2020-12-17T08:21:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7750,"text":"Plant Science Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Book review of \"Plant anatomy—A concept based approach to the structure of seed plants\"","docAbstract":"<p>Plant Anatomy: A Concept-Based Approach to the Structure of Seed Plants by Crang, Lyons-Sobaski, and Wise is a beautifully-illustrated, 600+ page textbook highlighting the wonderful diversity of anatomical form in plants. The layout of the chapters follows many traditional plant anatomy textbooks. Plant Anatomy begins with an overview of plant morphology and proceeds through evolutionary time and across systems (Chapter 1. The Nature of Plants) before zooming into the microscopic, internal world of plant structures and their function (Chapter 2. Microscopy and Imaging through Chapter 8. Phloem). Quite fortunately, historical context is described throughout these sections, highlighting seminal studies that have shaped the plant sciences over the past 300+ years.&nbsp;</p>","language":"English","publisher":"Botanical Society of America","usgsCitation":"Winkler, D.E., 2020, Book review of \"Plant anatomy—A concept based approach to the structure of seed plants\": Plant Science Bulletin, v. 66, no. 3, p. 261-262.","productDescription":"2 p.","startPage":"261","endPage":"262","ipdsId":"IP-124238","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":384277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":384254,"type":{"id":15,"text":"Index Page"},"url":"https://cms.botany.org/home/publications/plant-science-bulletin.html"}],"volume":"66","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":811575,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216972,"text":"70216972 - 2020 - Reestablishing a stepping-stone population of the threatened elkhorn coral Acropora palmata to aid regional recovery","interactions":[],"lastModifiedDate":"2020-12-21T13:59:32.421478","indexId":"70216972","displayToPublicDate":"2020-12-17T07:56:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Reestablishing a stepping-stone population of the threatened elkhorn coral Acropora palmata to aid regional recovery","docAbstract":"<p class=\"abstract_block\">Recovery of the elkhorn coral<span>&nbsp;</span><i>Acropora palmata</i><span>&nbsp;</span>is critical to reversing coral reef ecosystem collapse in the western Atlantic, but the species is severely threatened. To gauge potential for the species’ restoration in Florida, USA, we conducted an assisted migration experiment where 50 coral fragments of 5 nursery-raised genetic strains (genets) from the upper Florida Keys were moved to 5 sites across 350 km of the offshore reef. Additionally, 4 fragments from the 1 remaining colony of<span>&nbsp;</span><i>A. palmata</i><span>&nbsp;</span>in Dry Tortugas National Park (DRTO) were added to the 2 DRTO experimental sites to test for local adaptation. To measure coral performance, we tracked coral survival, calcification, growth, and condition from May 2018 to October 2019. All 24 corals relocated to the DRTO sites survived and calcified ~85% faster than the fewer surviving corals transplanted to the 2 upper Keys sites. While coral survival across the entire experiment did not depend on genet, there was a weak but statistically significant genetic effect on calcification rate among the corals relocated to DRTO. The DRTO native genet was among the fastest growing genets, but it was not the fastest, suggesting a lack of local adaptation at this scale. Our results indicate that DRTO, a remote reef system inhabited by the species during the Holocene and located at the nexus of major ocean currents, may be a prime location for reestablishing<span>&nbsp;</span><i>A. palmata</i>. Assisted migration of<span>&nbsp;</span><i>A. palmata</i><span>&nbsp;</span>to DRTO could restore a sexually reproducing population in &lt;10 yr, thereby promoting the species’ regional recovery.</p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01083","usgsCitation":"Kuffner, I.B., Stathakopoulos, A., Toth, L., and Bartlett, L., 2020, Reestablishing a stepping-stone population of the threatened elkhorn coral Acropora palmata to aid regional recovery: Endangered Species Research, v. 43, p. 461-473, https://doi.org/10.3354/esr01083.","productDescription":"13 p.","startPage":"461","endPage":"473","ipdsId":"IP-119764","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":454641,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01083","text":"Publisher Index Page"},{"id":436696,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KZEGXY","text":"USGS data release","linkHelpText":"Experimental coral-growth data and time-series imagery for Acropora palmata in the Florida Keys, U.S.A."},{"id":381533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.93603515625,\n              24.337086982410497\n            ],\n            [\n              -81.090087890625,\n              24.557116164309626\n            ],\n            [\n              -80.211181640625,\n              24.836595553891183\n            ],\n            [\n              -80.145263671875,\n              25.27450351782018\n            ],\n            [\n              -80.2880859375,\n              25.41350860804229\n            ],\n            [\n              -81.002197265625,\n              25.15522939494057\n            ],\n            [\n              -81.76025390625,\n              24.766784522874453\n            ],\n            [\n              -82.100830078125,\n              24.637031353509528\n            ],\n            [\n              -82.078857421875,\n              24.367113562651262\n            ],\n            [\n              -81.93603515625,\n              24.337086982410497\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":807130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stathakopoulos, Anastasios 0000-0002-4404-035X astathakopoulos@usgs.gov","orcid":"https://orcid.org/0000-0002-4404-035X","contributorId":147744,"corporation":false,"usgs":true,"family":"Stathakopoulos","given":"Anastasios","email":"astathakopoulos@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":807131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":807132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartlett, Lucy 0000-0001-6603-7090","orcid":"https://orcid.org/0000-0001-6603-7090","contributorId":214863,"corporation":false,"usgs":true,"family":"Bartlett","given":"Lucy","email":"","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":807133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217102,"text":"70217102 - 2020 - Diet and bathymetric distribution of juvenile Lake Trout Salvelinus namaycush in Lake Huron","interactions":[],"lastModifiedDate":"2021-01-06T13:22:37.723352","indexId":"70217102","displayToPublicDate":"2020-12-17T07:18:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diet and bathymetric distribution of juvenile Lake Trout <i>Salvelinus namaycush</i> in Lake Huron","title":"Diet and bathymetric distribution of juvenile Lake Trout Salvelinus namaycush in Lake Huron","docAbstract":"Rehabilitation efforts for Lake Trout Salvelinus namaycush in Lake Huron have resulted in increased capture of young wild Lake Trout in annual bottom trawl surveys conducted by the U.S. Geological Survey. To better understand the ecology of juvenile (<400mm) Lake Trout, we summarized the spatial distribution of their capture in bottom trawls at six ports in Lake Huron during October/November 20082017 and analyzed diets of wild (n = 306 of 337 total) and hatchery-origin (n = 18 of 30 total) fish captured. Lake Trout ranged in size from 27 to 399mm, representing at least three age-classes, and 92% were wild origin. Most wild juvenile Lake Trout (83%) were captured at 4664 m depths at the two northernmost ports, typically below the thermocline. Mysis diluviana was the most prevalent prey type, found in 75% of wild fish with non-empty stomachs, followed by two non-native species: Spiny Water Flea Bythotrephes longimanus (31%) and Round Goby Neogobius melanostomus (12%). Small Lake Trout (<185mm) consumed invertebrates but transitioned to mostly fish-based diets by >185mm (age 2). The variety of taxa consumed by young Lake Trout increased with length. Further declines in Mysis populations due to increased predation pressure after the loss of Diporeia from the system may hinder the recovery of wild Lake Trout, and although they have been able to utilize invasive species as prey, impacts to Lake Trout growth remain unknown. Additional research on the habitat use and diets of wild juvenile Lake Trout may provide insight into the reasons behind the recent successful natural reproduction and recruitment of Lake Trout in Lake Huron.","language":"English","publisher":"Taylor Francis","doi":"10.1080/14634988.2020.1826158","usgsCitation":"Roseman, E., Riley, S., Tucker, T., Farha, S., Jackson, S., and Bowser, D., 2020, Diet and bathymetric distribution of juvenile Lake Trout Salvelinus namaycush in Lake Huron: Aquatic Ecosystem Health & Management, v. 23, no. 3, p. 350-365, https://doi.org/10.1080/14634988.2020.1826158.","productDescription":"16 p.","startPage":"350","endPage":"365","ipdsId":"IP-113585","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":381942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States, Canada","otherGeospatial":"Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.0673828125,\n              46.34692761055676\n            ],\n            [\n              -84.72656249999999,\n              46.057985244793024\n            ],\n            [\n              -84.72656249999999,\n              45.79816953017265\n            ],\n            [\n              -83.69384765625,\n              43.5326204268101\n            ],\n            [\n              -82.37548828125,\n              43.052833917627936\n            ],\n            [\n              -81.67236328125,\n              43.42100882994726\n            ],\n            [\n              -80.0244140625,\n              44.62175409623324\n            ],\n            [\n              -79.8046875,\n              44.824708282300236\n            ],\n            [\n              -80.70556640625,\n              46.057985244793024\n            ],\n            [\n              -84.0673828125,\n              46.34692761055676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":807613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riley, Stephen 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":169479,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":807614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Taaja 0000-0003-1534-4677","orcid":"https://orcid.org/0000-0003-1534-4677","contributorId":217908,"corporation":false,"usgs":true,"family":"Tucker","given":"Taaja","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":807615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farha, Steve A. 0000-0001-9953-6996 sfarha@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-6996","contributorId":5170,"corporation":false,"usgs":true,"family":"Farha","given":"Steve A.","email":"sfarha@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":807616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Scott 0000-0003-1272-9918","orcid":"https://orcid.org/0000-0003-1272-9918","contributorId":208420,"corporation":false,"usgs":false,"family":"Jackson","given":"Scott","affiliations":[],"preferred":false,"id":807617,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowser, Dustin 0000-0001-5674-8016 dbowser@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-8016","contributorId":223117,"corporation":false,"usgs":true,"family":"Bowser","given":"Dustin","email":"dbowser@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":807618,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70219575,"text":"70219575 - 2020 - Assessing contributions of cold-water refuges to reproductive migration corridor conditions for adult salmon and steelhead trout in the Columbia River, USA","interactions":[],"lastModifiedDate":"2021-04-14T12:03:12.831455","indexId":"70219575","displayToPublicDate":"2020-12-17T06:59:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5513,"text":"Journal of Ecohydraulics","active":true,"publicationSubtype":{"id":10}},"title":"Assessing contributions of cold-water refuges to reproductive migration corridor conditions for adult salmon and steelhead trout in the Columbia River, USA","docAbstract":"<p><span>Diadromous fish populations face multiple challenges along their migratory routes. These challenges include suboptimal water quality, harvest, and barriers to longitudinal and lateral connectivity. Interactions among factors influencing migration success make it challenging to assess management options for improving migratory fish conditions along riverine migration corridors. We describe a spatially explicit simulation model that integrates complex individual behaviors of fall-run Chinook Salmon (</span><i>Oncorhynchus tshawytscha</i><span>) and summer-run steelhead trout (</span><i>O. mykiss</i><span>) during migration, responds to variable habitat conditions over a large extent of the Columbia River, and links migration corridor conditions to fish condition outcomes. The model is built around a mechanistic behavioral decision tree that drives individual interactions of fish within their simulated environments. By simulating several thermalscapes with alternative scenarios of thermal refuge availability, we examined how behavioral thermoregulation in cold-water refuges influenced migrating fish conditions. Outcomes of the migration corridor simulation model show that cold-water refuges can provide relief from exposure to high water temperatures, but do not substantially contribute to energy conservation by migrating adults. Simulated cooling of the Columbia River decreased reliance on cold-water refuges and there were slight reductions in migratory energy expenditure. This modeling of simulated thermalscapes provides a framework for assessing the contribution of cold-water refuges to the success of migrating fishes, but any final determination will depend on analyzing fish survival and health for their entire migration, water temperature management goals and species recovery targets.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/24705357.2020.1855086","usgsCitation":"Snyder, M.N., Schumaker, N.H., Dunham, J.B., Keefer, M., Leinenbach, P., Brookes, A., Palmer, J., Wu, J., Keenan, D.M., and Ebersole, J.L., 2020, Assessing contributions of cold-water refuges to reproductive migration corridor conditions for adult salmon and steelhead trout in the Columbia River, USA: Journal of Ecohydraulics, 14 p., https://doi.org/10.1080/24705357.2020.1855086.","productDescription":"14 p.","onlineOnly":"Y","ipdsId":"IP-122783","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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,{"id":70249326,"text":"70249326 - 2020 - Restoration of agricultural landscapes and dry forests in Senegal","interactions":[],"lastModifiedDate":"2023-10-04T22:50:08.212603","indexId":"70249326","displayToPublicDate":"2020-12-16T17:49:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17036,"text":"ETFRN (European Tropical Forest Research Network)","active":true,"publicationSubtype":{"id":10}},"title":"Restoration of agricultural landscapes and dry forests in Senegal","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Tropenbos International","usgsCitation":"Tappan, G.G., McGahuey, M., and Winterbottom, R., 2020, Restoration of agricultural landscapes and dry forests in Senegal: ETFRN (European Tropical Forest Research Network), v. 60, p. 27-34.","productDescription":"1.1, 8 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,{"id":70249325,"text":"70249325 - 2020 - History and impacts of dryland restoration in Yatenga, Burkina Faso","interactions":[],"lastModifiedDate":"2023-10-04T22:24:07.851588","indexId":"70249325","displayToPublicDate":"2020-12-16T17:08:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17038,"text":"ETFRN (European Tropical Forest Research Network) newsletter","active":true,"publicationSubtype":{"id":10}},"title":"History and impacts of dryland restoration in Yatenga, Burkina Faso","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Tropenbos International","usgsCitation":"Belemvire, A., Ouedraogo, M., Reij, C., and Tappan, G.G., 2020, History and impacts of dryland restoration in Yatenga, Burkina Faso: ETFRN (European Tropical Forest Research Network) newsletter, v. 60, p. 51-58.","productDescription":"1.4, 8 p.","startPage":"51","endPage":"58","ipdsId":"IP-124067","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":421555,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.tropenbos.org/resources/publications/etfrn+news+60:+restoring+african+drylands"},{"id":421648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Burkina Faso","county":"Yatenga Region","city":"Ranawa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -2.4538771076395562,\n              13.509773751234405\n            ],\n            [\n              -2.4538771076395562,\n              13.366039212683518\n            ],\n            [\n              -2.2223199098549458,\n              13.366039212683518\n            ],\n            [\n              -2.2223199098549458,\n              13.509773751234405\n            ],\n            [\n              -2.4538771076395562,\n              13.509773751234405\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Belemvire, Adama","contributorId":330518,"corporation":false,"usgs":false,"family":"Belemvire","given":"Adama","email":"","affiliations":[{"id":78915,"text":"Consultant - forestry, remote sensing and NRM, Ouagadougou, Burkina Faso","active":true,"usgs":false}],"preferred":false,"id":885183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ouedraogo, Mathieu","contributorId":330519,"corporation":false,"usgs":false,"family":"Ouedraogo","given":"Mathieu","email":"","affiliations":[{"id":78916,"text":"President, Reseau MARP, Ouagadougou, Burkina Faso","active":true,"usgs":false}],"preferred":false,"id":885184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reij, Chris","contributorId":330520,"corporation":false,"usgs":false,"family":"Reij","given":"Chris","affiliations":[{"id":78918,"text":"Senior fellow, World Resources Institute, Washington DC, USA","active":true,"usgs":false}],"preferred":false,"id":885185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tappan, G. Gray 0000-0002-2240-6963 tappan@usgs.gov","orcid":"https://orcid.org/0000-0002-2240-6963","contributorId":3624,"corporation":false,"usgs":true,"family":"Tappan","given":"G.","email":"tappan@usgs.gov","middleInitial":"Gray","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":885186,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70249327,"text":"70249327 - 2020 - Adoption of farmer managed natural regeneration in Senegal","interactions":[],"lastModifiedDate":"2023-10-04T22:15:13.489522","indexId":"70249327","displayToPublicDate":"2020-12-16T16:33:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17038,"text":"ETFRN (European Tropical Forest Research Network) newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Adoption of farmer managed natural regeneration in Senegal","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Tropenbos Information","usgsCitation":"Winterbottom, R., McGahuey, M., and Tappan, G.G., 2020, Adoption of farmer managed natural regeneration in Senegal: ETFRN (European Tropical Forest Research Network) newsletter, v. 60, p. 69-76.","productDescription":"1.6, 8 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Mike","contributorId":330521,"corporation":false,"usgs":false,"family":"McGahuey","given":"Mike","email":"","affiliations":[{"id":78919,"text":"Fellow, Global Evergreening Alliance","active":true,"usgs":false}],"preferred":false,"id":885191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tappan, G. 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,{"id":70228389,"text":"70228389 - 2020 - Comparing husbandry techniques for optimal head-starting of the Mojave desert tortoise (Gopherus agassizii)","interactions":[],"lastModifiedDate":"2022-02-10T18:04:30.863092","indexId":"70228389","displayToPublicDate":"2020-12-16T11:54:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparing husbandry techniques for optimal head-starting of the Mojave desert tortoise (<i>Gopherus agassizii</i>)","title":"Comparing husbandry techniques for optimal head-starting of the Mojave desert tortoise (Gopherus agassizii)","docAbstract":"<p>Mojave Desert Tortoise (<i>Gopherus agassizii</i>) populations continue to decline throughout their range. Head-starting—the captive rearing of offspring to a size where they are presumably more likely to survive post-release—is being explored as a potential recovery tool. Previous Desert Tortoise head-starting programs have reared neonates exclusively outdoors. Here, we explore using a combination of indoor and outdoor captive rearing to maximize post-release success and rearing efficiency. We assigned 68 neonates (2016 cohort) to one of two treatments: Outdoor HS (n = 38), where neonates were reared exclusively in outdoor predator-proof enclosures, and Combo HS (n = 30), where neonates were reared indoors for 1 y followed by outdoor rearing for 1 y. After 2 y of captive rearing, we randomly selected 24 Outdoor HS and 24 Combo HS juveniles for release in the Mojave National Preserve, CA on 25 September 2018. We compare pre-release size, body condition, and shell hardness as well as first year post-release movement and survival between the treatment groups. Pre-release body condition was not significantly different between groups. Outdoor HS tortoises, however, were significantly smaller and had significantly softer shells than Combo HS tortoises. Excluding two missing animals, released head-starts experienced 78.2% survival through their first year after release. Combo HS tortoises on average dispersed significantly shorter distances after 1 y than Outdoor HS animals. Our findings that Combo HS animals were larger and had harder shells at release, and exhibited high survival but low dispersal following release, support the implementation of combination head-starting as part of the recovery effort for the Mojave Desert Tortoise.</p>","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"McGovern, P., Buhlmann, K.A., Todd, B.D., Moore, C.T., Peaden, J.M., Hepinstall-Cymerman, J., Daly, J.A., and Tuberville, T.D., 2020, Comparing husbandry techniques for optimal head-starting of the Mojave desert tortoise (Gopherus agassizii): Herpetological Conservation and Biology, v. 15, no. 3, p. 626-641.","productDescription":"16 p.","startPage":"626","endPage":"641","ipdsId":"IP-115675","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395787,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol15_issue3.html"}],"country":"United States","state":"California","otherGeospatial":"Ivanpah Valley, Mojave National Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.4608154296875,\n              35.110921809704756\n            ],\n            [\n              -115.10925292968749,\n              35.110921809704756\n            ],\n            [\n              -115.10925292968749,\n              35.50987173838399\n            ],\n            [\n              -115.4608154296875,\n              35.50987173838399\n            ],\n            [\n              -115.4608154296875,\n              35.110921809704756\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McGovern, P. A.","contributorId":275620,"corporation":false,"usgs":false,"family":"McGovern","given":"P. A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":834177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhlmann, K. A.","contributorId":275621,"corporation":false,"usgs":false,"family":"Buhlmann","given":"K.","email":"","middleInitial":"A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":834178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, B. D.","contributorId":275623,"corporation":false,"usgs":false,"family":"Todd","given":"B.","email":"","middleInitial":"D.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":834179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peaden, J. M.","contributorId":275626,"corporation":false,"usgs":false,"family":"Peaden","given":"J.","email":"","middleInitial":"M.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":834181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hepinstall-Cymerman, J.","contributorId":275628,"corporation":false,"usgs":false,"family":"Hepinstall-Cymerman","given":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":834182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Daly, J. A.","contributorId":275632,"corporation":false,"usgs":false,"family":"Daly","given":"J.","email":"","middleInitial":"A.","affiliations":[{"id":56868,"text":"Directorate of Public Works, Environmental Division, Dublin, CA","active":true,"usgs":false}],"preferred":false,"id":834183,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tuberville, T. D.","contributorId":275634,"corporation":false,"usgs":false,"family":"Tuberville","given":"T.","email":"","middleInitial":"D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":834184,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70218474,"text":"70218474 - 2020 - Stony coral tissue loss disease in Florida is associated with disruption of host–zooxanthellae physiology","interactions":[],"lastModifiedDate":"2021-03-01T15:53:30.188709","indexId":"70218474","displayToPublicDate":"2020-12-16T09:44:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Stony coral tissue loss disease in Florida is associated with disruption of host–zooxanthellae physiology","docAbstract":"<p><span>Samples from eight species of corals (</span><i>Colpophyllia natans</i><span>,&nbsp;</span><i>Dendrogyra cylindrus</i><span>,&nbsp;</span><i>Diploria labyrinthiformis</i><span>,&nbsp;</span><i>Meandrina meandrites</i><span>,&nbsp;</span><i>Montastraea cavernosa</i><span>,&nbsp;</span><i>Orbicella faveolata, Pseudodiploria strigosa</i><span>, and&nbsp;</span><i>Siderastrea siderea</i><span>) that exhibited gross clinical signs of acute, subacute, or chronic tissue loss attributed to stony coral tissue loss disease (SCTLD) were collected from the Florida Reef Tract during 2016–2018 and examined histopathologically. The hallmark microscopic lesion seen in all eight species was focal to multifocal lytic necrosis (LN) originating in the gastrodermis of the basal body wall (BBW) and extending to the calicodermis, with more advanced lesions involving the surface body wall. This was accompanied by other degenerative changes in host cells such as mucocyte hypertrophy, degradation and fragmentation of gastrodermal architecture, and disintegration of the mesoglea. Zooxanthellae manifested various changes including necrosis (cytoplasmic hypereosinophilia, pyknosis); peripheral nuclear chromatin condensation; cytoplasmic vacuolation accompanied by deformation, swelling, or atrophy; swollen accumulation bodies; prominent pyrenoids; and degraded chloroplasts. Polyhedral intracytoplasmic eosinophilic periodic acid–Schiff-positive crystalline inclusion bodies (∼1–10 μm in length) were seen only in&nbsp;</span><i>M. cavernosa</i><span>&nbsp;and&nbsp;</span><i>P. strigosa</i><span>&nbsp;BBW gastrodermis in or adjacent to active lesions and some unaffected areas (without surface lesions) of diseased colonies. Coccoidlike or coccobacilloidlike structures (Gram-neutral) reminiscent of microorganisms were occasionally associated with LN lesions or seen in apparently healthy tissue of diseased colonies along with various parasites and other bacteria all considered likely secondary colonizers. Of the 82 samples showing gross lesions of SCTLD, 71 (87%) were confirmed histologically to have LN. Collectively, pathology indicates that SCTLD is the result of a disruption of host–symbiont physiology with lesions originating in the BBW leading to detachment and sloughing of tissues from the skeleton. Future investigations could focus on identifying the cause and pathogenesis of this process.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2020.576013","usgsCitation":"Landsberg, J., Kiryu, Y., Peters, E., Wilson, P., Waters, Y., Maxwell, K., Huebner, L., and Work, T.M., 2020, Stony coral tissue loss disease in Florida is associated with disruption of host–zooxanthellae physiology: Frontiers in Marine Science, v. 7, 576013, 24 p., https://doi.org/10.3389/fmars.2020.576013.","productDescription":"576013, 24 p.","ipdsId":"IP-122466","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":454646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.576013","text":"Publisher Index Page"},{"id":383688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.167236328125,\n              27.371767300523047\n            ],\n            [\n              -80.386962890625,\n              27.225325836903373\n            ],\n            [\n              -80.15625,\n              26.470573022375085\n            ],\n            [\n              -80.26611328125,\n              25.839449402063185\n            ],\n            [\n              -80.44189453125,\n              25.27450351782018\n            ],\n            [\n              -80.716552734375,\n              24.91633140459907\n            ],\n            [\n              -82.08984375,\n              24.627044746156027\n            ],\n            [\n              -81.88110351562499,\n              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Yasu","contributorId":252920,"corporation":false,"usgs":false,"family":"Kiryu","given":"Yasu","affiliations":[{"id":18903,"text":"Florida FWC","active":true,"usgs":false}],"preferred":false,"id":811123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peters, Esther","contributorId":252921,"corporation":false,"usgs":false,"family":"Peters","given":"Esther","affiliations":[{"id":50470,"text":"George Masson University","active":true,"usgs":false}],"preferred":false,"id":811124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Patrick","contributorId":252922,"corporation":false,"usgs":false,"family":"Wilson","given":"Patrick","affiliations":[{"id":18903,"text":"Florida FWC","active":true,"usgs":false}],"preferred":false,"id":811125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waters, Yvonne","contributorId":252923,"corporation":false,"usgs":false,"family":"Waters","given":"Yvonne","email":"","affiliations":[{"id":18903,"text":"Florida FWC","active":true,"usgs":false}],"preferred":false,"id":811126,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maxwell, Kerry","contributorId":252924,"corporation":false,"usgs":false,"family":"Maxwell","given":"Kerry","email":"","affiliations":[{"id":18903,"text":"Florida FWC","active":true,"usgs":false}],"preferred":false,"id":811127,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huebner, Lindsay","contributorId":252925,"corporation":false,"usgs":false,"family":"Huebner","given":"Lindsay","affiliations":[{"id":18903,"text":"Florida FWC","active":true,"usgs":false}],"preferred":false,"id":811128,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":811129,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70216871,"text":"sir20205091 - 2020 - Simulation of groundwater flow in the regional aquifer system on Long Island, New York, for pumping and recharge conditions in 2005–15","interactions":[],"lastModifiedDate":"2021-04-08T21:42:55.915848","indexId":"sir20205091","displayToPublicDate":"2020-12-16T09:00:00","publicationYear":"2020","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":"2020-5091","displayTitle":"Simulation of Groundwater Flow in the Regional Aquifer System on Long Island, New York, for Pumping and Recharge Conditions in 2005–15","title":"Simulation of groundwater flow in the regional aquifer system on Long Island, New York, for pumping and recharge conditions in 2005–15","docAbstract":"<p>A three-dimensional groundwater-flow model was developed for the aquifer system of Long Island, New York, to evaluate (1) responses of the hydrologic system to changes in natural and anthropogenic hydraulic stresses, (2) the subsurface distribution of groundwater age, and (3) the regional-scale distribution of groundwater travel times and the source of water to fresh surface waters and coastal receiving waters. The model also provides the groundwater flow components used to define model boundaries for possible inset models used for local-scale analyses.</p><p>The three-dimensional, groundwater flow model developed for this investigation uses the numerical code MODFLOW–NWT to represent steady-state conditions for average groundwater pumping and aquifer recharge for 2005–15. The particle-tracking algorithm MODPATH, which simulates advective transport in the aquifer, was used to estimate groundwater age, delineate the areas at the water table that contribute recharge to coastal and freshwater bodies, and estimate total travel times of water from the water table to discharge locations.</p><p>A three-dimensional, 1-meter (3.3-foot) topobathymetric model was used to determine land-surface altitudes for the island and seabed altitudes for the surrounding coastal waters. The mapped extents and surface altitudes of major geologic units were compiled and used to develop a three-dimensional hydrogeologic framework of the aquifer system, including aquifers and confining units. Lithologic data from deep boreholes and previous aquifer-test results were used to estimate the three-dimensional distribution of hydraulic conductivity in principal aquifers. Natural recharge from precipitation was estimated for 2005–15 using a modified Thornthwaite-Mather methodology as implemented in a soil-water balance model. Components of anthropogenic recharge—wastewater return flow, storm water inflow, and inflow from leaky infrastructure—also were estimated for 2005–15. Groundwater withdrawals for various sources, including public water supply, industrial, remediation, and agricultural, were compiled or estimated for the same period.</p><p>These data were incorporated into the model development to represent the aquifer system geometry, boundaries, and initial hydraulic properties of the regional aquifers and confining units within the Long Island aquifer system. Average hydraulic conditions—water levels and streamflows—for 2005–15 were estimated using existing data from the U.S. Geological Survey National Water Information System database. Model inputs were adjusted to best match average hydrologic conditions using inverse methods as implemented in the parameter-estimating software PEST. The calibrated model was used to simulate average hydrologic conditions in the aquifer system for 2005–15.</p><p>About 656 cubic feet per second of water was withdrawn on average annually for 2005–15 for water supply and an average of about 349 cubic feet per second of water recharged the aquifer annually from return flow and leaky infrastructure. Parts of New York City have drawdowns exceeding 25 feet, mostly because of urbanization and associated large decreases in recharge rates. Large areas in the western part of the island have drawdowns exceeding 10 feet, mostly from large groundwater withdrawals and sewering, which largely eliminates wastewater return flow. Water-table altitudes in eastern parts of the island increased by more than 2 feet in some areas as a result of wastewater return flow in unsewered areas and changes in land use. Changes in streamflows show a similar pattern as water-table altitudes. Streamflows generally decrease in western parts of the island where there are large drawdowns and increase in eastern parts of the island where water-table altitudes increase.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205091","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Walter, D.A., Masterson, J.P., Finkelstein, J.S., Monti, J., Jr., Misut, P.E., and Fienen, M.N., 2020, Simulation of groundwater flow in the regional aquifer system on Long Island, New York, for pumping and recharge conditions in 2005–15: U.S. Geological Survey Scientific Investigations Report 2020–5091, 75 p., https://doi.org/10.3133/sir20205091.","productDescription":"Report: ix, 75 p.; 3 Data Releases","numberOfPages":"75","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-112206","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":381521,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2020/5091/images/"},{"id":381195,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5091/sir20205091.pdf","text":"Report","size":"35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5091"},{"id":381194,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5091/coverthb2.jpg"},{"id":381192,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P954DLLC","text":"USGS data release","linkHelpText":"Aquifer texture data describing the Long Island aquifer system"},{"id":381191,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KWQSEJ","text":"USGS data release","linkHelpText":"MODFLOW–NWT and MODPATH6 used to simulate groundwater flow in the regional aquifer system on Long Island, New York, for pumping and recharge conditions in 2005–15"},{"id":381190,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90B6OTX","text":"USGS data release","linkHelpText":"Time domain electromagnetic surveys collected to estimate the extent of saltwater intrusion in Nassau and Queens Counties, New York, October-November 2017"},{"id":381520,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2020/5091/sir20205091.XML"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.102783203125,\n              40.55554790286311\n            ],\n            [\n              -73.7017822265625,\n              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        ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ nweng@usgs.gov\" data-mce-href=\"mailto:dc_ nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Data Compilation and Analysis</li><li>Development and Calibration of the Numerical Model</li><li>Simulation of Groundwater Flow</li><li>Limitations of Analysis</li><li>Summary</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-12-16","noUsgsAuthors":false,"publicationDate":"2020-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":150532,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":806664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":202452,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monti 0000-0001-9389-5891 jmonti@usgs.gov","orcid":"https://orcid.org/0000-0001-9389-5891","contributorId":174700,"corporation":false,"usgs":true,"family":"Monti","email":"jmonti@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806666,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Misut, Paul E. 0000-0002-6502-5255 pemisut@usgs.gov","orcid":"https://orcid.org/0000-0002-6502-5255","contributorId":1073,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","email":"pemisut@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806667,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":171511,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael","email":"mnfienen@usgs.gov","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806668,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70219092,"text":"70219092 - 2020 - Environmental contamination and unusual snake mortality in an urban national wildlife refuge","interactions":[],"lastModifiedDate":"2021-03-23T13:02:13.658097","indexId":"70219092","displayToPublicDate":"2020-12-16T07:58:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Environmental contamination and unusual snake mortality in an urban national wildlife refuge","docAbstract":"The National Wildlife Refuge (NWR) System protects ~150 million acres of land and water in the United States and provides habitat for >2,000 native vertebrates species. Although legally protected, wildlife populations within these refuges can be threatened by anthropogenic activities. The lack of knowledge about such threats has the potential to undermine biodiversity conservation. \nWe investigated patterns of wildlife mortality among three NWRs in the northern U.S. Gulf Coast. Visual surveys (958 total search-hours) were conducted for live or dead amphibians and reptiles at Big Branch, Bogue Chitto, and Bayou Sauvage NWRs. An exceptionally high incidence of snake mortality (>800% above background, P < 0.001) was observed at one site (Haul Road, Bayou Sauvage NWR). Mortality affected seven species and recurred for 29 months. Intact carcasses were subject to histopathological examination and diagnostic testing. Cause of death was undetermined (n = 9) or attributed to various pathogens (n = 5). \nTo investigate possible underlying causes of this unusual mortality, water exposure challenges and soil toxicological analyses (n = 6 and 11 sites, respectively) were conducted on samples from Bayou Sauvage NWR, given the known potential for anthropogenic contamination in the refuge.\nIn a controlled experiment, survival of Anaxyrus fowlerii embryos exposed to water from Recovery Road (i.e., 250m from a landfill) and Haul Road was reduced 92% and 48%, respectively, compared to four reference sites in the refuge.  \nSediment analyses suggested at least seven distinct sources of contaminants in Bayou Sauvage NWR. Potential sources included a landfill, illegal dumping, vehicle emissions, pesticide migration, and an active hydrocarbon pipeline leak discovered 600 m from Haul Road.\nSynthesis and applications: Although further research is needed to determine whether the observed mortality and contamination are related, these collective findings suggest that anthropogenic factors may threaten the ecological integrity of one of the United States largest urban wildlife refuges. More broadly, our study highlights the critical need for species inventories, baseline data, and systematic monitoring in NWRs. Such information is essential to detecting and mitigating anthropogenic threats to biodiversity conservation in protected areas.","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Terrell, K.A., Ballmann, A., Brown, A., Childers, C., Knowles, S., Meredith, A., and Sparks, D., 2020, Environmental contamination and unusual snake mortality in an urban national wildlife refuge: Herpetological Conservation and Biology, v. 15, no. 3, p. 652-665.","productDescription":"14 p.","startPage":"652","endPage":"665","ipdsId":"IP-099236","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":384575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":384568,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/Volume_15/Issue_3/Terrell_etal_2020.pdf"}],"country":"United States","state":"Louisiana","otherGeospatial":"Bayou Sauvage National Wildlife Refuge, Big Branch Marsh National Wildlife Refuge, Bogue Chitto National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.01074218749999,\n              28.94086176940557\n            ],\n            [\n              -88.9617919921875,\n              28.94086176940557\n            ],\n            [\n              -88.9617919921875,\n              30.585908257485578\n            ],\n            [\n              -91.01074218749999,\n              30.585908257485578\n            ],\n            [\n              -91.01074218749999,\n              28.94086176940557\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Terrell, Kimberly A.","contributorId":255639,"corporation":false,"usgs":false,"family":"Terrell","given":"Kimberly","email":"","middleInitial":"A.","affiliations":[{"id":51622,"text":"School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA 70803","active":true,"usgs":false}],"preferred":false,"id":812701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":812702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Ashli","contributorId":255640,"corporation":false,"usgs":false,"family":"Brown","given":"Ashli","email":"","affiliations":[{"id":51623,"text":"Mississippi State Chemical Laboratory, P.O. Box CR, Mississippi State, MS 39762","active":true,"usgs":false}],"preferred":false,"id":812703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Childers, Christina","contributorId":255641,"corporation":false,"usgs":false,"family":"Childers","given":"Christina","email":"","affiliations":[{"id":51623,"text":"Mississippi State Chemical Laboratory, P.O. Box CR, Mississippi State, MS 39762","active":true,"usgs":false}],"preferred":false,"id":812704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":812705,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meredith, Ashley","contributorId":255642,"corporation":false,"usgs":false,"family":"Meredith","given":"Ashley","email":"","affiliations":[{"id":51623,"text":"Mississippi State Chemical Laboratory, P.O. Box CR, Mississippi State, MS 39762","active":true,"usgs":false}],"preferred":false,"id":812706,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sparks, Darrell","contributorId":255643,"corporation":false,"usgs":false,"family":"Sparks","given":"Darrell","email":"","affiliations":[{"id":51623,"text":"Mississippi State Chemical Laboratory, P.O. Box CR, Mississippi State, MS 39762","active":true,"usgs":false}],"preferred":false,"id":812707,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70223190,"text":"70223190 - 2020 - Cordilleran subduction initiation: Retro-arc timing and basinal response in the Inyo Mountains, eastern California","interactions":[],"lastModifiedDate":"2021-08-17T12:45:21.767905","indexId":"70223190","displayToPublicDate":"2020-12-16T07:42:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2626,"text":"Lithosphere","active":true,"publicationSubtype":{"id":10}},"title":"Cordilleran subduction initiation: Retro-arc timing and basinal response in the Inyo Mountains, eastern California","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>Subduction zones drive plate tectonics on Earth, yet subduction initiation and the related upper plate depositional and structural kinematics remain poorly understood because upper plate records are rare and often strongly overprinted by magmatism and deformation. During the late Paleozoic time, Laurentia’s western margin was truncated by a sinistral strike-slip fault that transformed into a subduction zone. Thick Permian strata in the Inyo Mountains of central-eastern California record this transition. Two basins that were separated by a transpressional antiform contain sedimentary lithofacies that record distinct patterns of shoaling and deepening conditions before and during tectonism associated with subduction initiation. Sandstone petrography and lithofacies analysis show that rocks in a southeastern basin are dominated by carbonate grains derived from adjacent carbonate shelves, whereas sandstones in a northwestern basin are predominantly quartzose with likely derivation from distant ergs or underlying strata. Detrital zircon spectra from all but the youngest strata in both basins are typical of Laurentian continent spectra with prominent peaks that indicate ultimate sources in Appalachia, Grenville, Yavapai/Mazatzal, and the Wyoming or Superior cratons. The first Cordilleran arc-derived detrital zircon grains appear in the uppermost strata of the northwestern basin and record Late Permian (ca. 260 Ma) Cordilleran arc magmatism at this approximate latitude, and a possible source area is suggested by geochemical similarities between these detrital zircons and broadly coeval magmatic zircons in the El Paso Mountains to the southwest. Deformation responsible for basin partitioning is consistent with sinistrally oblique contraction in the earliest Permian time. The data presented from the Inyo Mountains shed more light on the nature of Cordilleran subduction initiation and the upper-crustal response to this transition.</p></div>","language":"English","publisher":"GSW","doi":"10.2113/2020/9406113","usgsCitation":"Lodes, E., Riggs, N.R., Smith, M.E., and Stone, P., 2020, Cordilleran subduction initiation: Retro-arc timing and basinal response in the Inyo Mountains, eastern California: Lithosphere, v. 2020, no. 1, 9406113, 20 p., https://doi.org/10.2113/2020/9406113.","productDescription":"9406113, 20 p.","ipdsId":"IP-116279","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":454649,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2113/2020/9406113","text":"Publisher Index Page"},{"id":387982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Inyo Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.13598632812499,\n              35.594785665487244\n            ],\n            [\n              -117.8173828125,\n              35.594785665487244\n            ],\n            [\n              -117.8173828125,\n              35.79999392988527\n            ],\n            [\n              -118.13598632812499,\n              35.79999392988527\n            ],\n            [\n              -118.13598632812499,\n              35.594785665487244\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2020","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Lodes, Emma","contributorId":264308,"corporation":false,"usgs":false,"family":"Lodes","given":"Emma","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":821322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riggs, Nancy R.","contributorId":243564,"corporation":false,"usgs":false,"family":"Riggs","given":"Nancy","email":"","middleInitial":"R.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":821323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Michael E.","contributorId":264309,"corporation":false,"usgs":false,"family":"Smith","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":821324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":821325,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217364,"text":"70217364 - 2020 - Probabilistic application of an integrated catchment-estuary-coastal system model to assess the evolution of inlet-interrupted coasts over the 21st century","interactions":[],"lastModifiedDate":"2021-01-20T13:39:53.373905","indexId":"70217364","displayToPublicDate":"2020-12-16T07:37:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5523,"text":"Frontiers in Applied Mathematics and Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic application of an integrated catchment-estuary-coastal system model to assess the evolution of inlet-interrupted coasts over the 21st century","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb0\">Inlet-interrupted sandy coasts are dynamic and complex coastal systems with continuously evolving geomorphological behaviors under the influences of both climate change and human activities. These coastal systems are of great importance to society (e.g., providing habitats, navigation, and recreational activities) and are affected by both oceanic and terrestrial processes. Therefore, the evolution of these inlet-interrupted coasts is better assessed by considering the entirety of the Catchment-Estuary-Coastal (CEC) systems, under plausible future scenarios for climate change and increasing pressures due to population growth and human activities. Such a holistic assessment of the long-term evolution of CEC systems can be achieved via reduced-complexity modeling techniques, which are also ably quantifying the uncertainties associated with the projections due to their lower simulation times. Here, we develop a novel probabilistic modeling framework to quantify the input-driven uncertainties associated with the evolution of CEC systems over the 21<sup>st</sup><span>&nbsp;</span>century. In this new approach, probabilistic assessment of the evolution of inlet-interrupted coasts is achieved by (1) probabilistically computing the exchange sediment volume between the inlet-estuary system and its adjacent coast, and (2) distributing the computed sediment volumes along the inlet-interrupted coast. The model is applied at three case study sites: Alsea estuary (United States), Dyfi estuary (United Kingdom), and Kalutara inlet (Sri Lanka). Model results indicate that there are significant uncertainties in projected volume exchange at all the CEC systems (min-max range of 2.0 million cubic meters in 2100 for RCP 8.5), and the uncertainties in these projected volumes illustrate the need for probabilistic modeling approaches to evaluate the long-term evolution of CEC systems. A comparison of 50<sup>th</sup><span>&nbsp;</span>percentile probabilistic projections with deterministic estimates shows that the deterministic approach overestimates the sediment volume exchange in 2100 by 15–30% at Alsea and Kalutara estuary systems. Projections of coastline change obtained for the case study sites show that accounting for all key processes governing coastline change along inlet-interrupted coasts in computing coastline change results in projections that are between 20 and 134% greater than the projections that would be obtained if only the Bruun effect were taken into account, underlining the inaccuracies associated with using the Bruun rule at inlet-interrupted coasts.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.579203","usgsCitation":"Bamunawala, J., Dastgheib, A., Ranasinghe, R., van der Spek, A., Maskey, S., Murray, A.B., Barnard, P.L., Duong, T.M., and Sirisena, T., 2020, Probabilistic application of an integrated catchment-estuary-coastal system model to assess the evolution of inlet-interrupted coasts over the 21st century: Frontiers in Applied Mathematics and Statistics, v. 7, 579203, 20 p., https://doi.org/10.3389/fmars.2020.579203.","productDescription":"579203, 20 p.","ipdsId":"IP-118692","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":454651,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.579203","text":"Publisher Index Page"},{"id":382312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2020-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Bamunawala, J.","contributorId":247856,"corporation":false,"usgs":false,"family":"Bamunawala","given":"J.","affiliations":[{"id":49675,"text":"UNESCO IHE","active":true,"usgs":false}],"preferred":false,"id":808516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dastgheib, Ali","contributorId":228986,"corporation":false,"usgs":false,"family":"Dastgheib","given":"Ali","email":"","affiliations":[{"id":40834,"text":"IHE Delft","active":true,"usgs":false}],"preferred":false,"id":808517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ranasinghe, Roshanka","contributorId":247857,"corporation":false,"usgs":false,"family":"Ranasinghe","given":"Roshanka","email":"","affiliations":[{"id":49677,"text":"IHE Delft Institute for Water Education","active":true,"usgs":false}],"preferred":false,"id":808518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van der Spek, Ad","contributorId":228988,"corporation":false,"usgs":false,"family":"van der Spek","given":"Ad","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":808519,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maskey, Shreedhar","contributorId":228989,"corporation":false,"usgs":false,"family":"Maskey","given":"Shreedhar","email":"","affiliations":[{"id":40834,"text":"IHE Delft","active":true,"usgs":false}],"preferred":false,"id":808520,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murray, A. Brad","contributorId":228991,"corporation":false,"usgs":false,"family":"Murray","given":"A.","email":"","middleInitial":"Brad","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":808521,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":808522,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duong, Trang Minh","contributorId":247859,"corporation":false,"usgs":false,"family":"Duong","given":"Trang","email":"","middleInitial":"Minh","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":808523,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sirisena, T.A.J.G.","contributorId":247861,"corporation":false,"usgs":false,"family":"Sirisena","given":"T.A.J.G.","email":"","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":808524,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
]}