{"pageNumber":"685","pageRowStart":"17100","pageSize":"25","recordCount":165309,"records":[{"id":70207981,"text":"70207981 - 2019 - Balancing sampling intensity against spatial coverage for a community science monitoring programme","interactions":[],"lastModifiedDate":"2020-01-22T15:32:09","indexId":"70207981","displayToPublicDate":"2019-08-23T15:14:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Balancing sampling intensity against spatial coverage for a community science monitoring programme","docAbstract":"<ol class=\"\"><li>Community science is an increasingly integral part of biodiversity research and monitoring, often achieving broad spatial and temporal coverage but lower sampling intensity than studies conducted by professional scientists. When designing a community‐science monitoring programme, careful assessment of sampling designs that could be both feasible and successful at meeting programme goals is essential.</li><li>Monarch butterflies (<i>Danaus plexippus</i>) are the focus of several successful community‐science projects in the U.S., but broader coverage is needed to monitor breeding areas and explain population declines observed in overwintering areas. The U.S. Monarch Conservation Science Partnership's Integrated Monarch Monitoring Program (IMMP) will representatively monitor monarchs and milkweed across North America. We performed a simulation‐based power analysis to predict trade‐offs between sampling breadth (number of sites and years) and sampling intensity (number of visits or subplots per site and year) for the IMMP. We evaluated whether each sampling design would produce sufficient statistical power to detect population trends and differences among land‐use sectors in densities of milkweed, monarch eggs, and adult monarchs.</li><li>Sampling breadth had much stronger effects than sampling intensity on statistical power for all three monitoring targets. Depending on land‐use sector, monitoring 400–800 sites over 10–15&nbsp;years would detect trends in densities of milkweed and adult monarchs, but no scenarios were successful for monarch eggs. Sampling 400–800 sites would also detect small (for adult monarchs) to large (for milkweed) differences among land‐use sectors in density of all three monitoring targets within the first 2–5&nbsp;years. As more data become available from the IMMP, the sampling goals can be updated.</li><li><i>Synthesis and applications</i>. Careful sample design is an essential step in developing a successful monitoring programme. For monarchs and milkweed, we found that sampling breadth (number of sites and years) had a much stronger effect on statistical power than sampling intensity (number of visits or subsamples per site), suggesting field protocols could be tailored to maximize recruitment and retention of volunteers by minimizing the effort required to monitor each site. Many long‐term monitoring programmes might similarly benefit from evaluating the statistical trade‐offs between sampling breadth and intensity in their sampling designs.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13491","usgsCitation":"Weiser, E.L., Diffendorfer, J.E., Grundel, R., Lopez Hoffman, L., Pecoraro, S., Semmens, D.J., and Thogmartin, W.E., 2019, Balancing sampling intensity against spatial coverage for a community science monitoring programme: Journal of Applied Ecology, v. 56, no. 10, p. 2252-2263, https://doi.org/10.1111/1365-2664.13491.","productDescription":"12 p.","startPage":"2252","endPage":"2263","ipdsId":"IP-096552","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467344,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70204882,"text":"70204882 - 2019 - Measuring suspended sediment in sand-bedded rivers using down-looking acoustic doppler current profilers","interactions":[],"lastModifiedDate":"2019-08-23T11:59:58","indexId":"70204882","displayToPublicDate":"2019-08-23T11:53:53","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Measuring suspended sediment in sand-bedded rivers using down-looking acoustic doppler current profilers","docAbstract":"The use of side-looking acoustic Doppler velocity meters (ADVMs) to estimate fluvial\nsuspended-sediment concentrations (SSC) has become more operational by the U.S. Geological Survey in recent years; however, direct transfer of these techniques to down-looking acoustic Doppler current profilers (ADCPs) currently is not widely feasible. Key assumptions in the sidelooking ADVM method related to sediment homogeneity within the acoustic measurement volume are almost never met in wide, sand-bedded rivers because SSC and particle size commonly vary with depth and location in the river cross section. The use of ADCPs to estimate SSC has been investigated by researchers, but the requirements and limitations of an operational method that could be successfully applied at many locations are not well defined. If an operational method could be developed, the use of ADCPs, which are routinely used for flow measurements, would revolutionize sediment science by providing rapid measurements of\nsediment flux and spatial distribution. We collected detailed datasets in six sand-bedded rivers in the U.S. in 2016-2018, to evaluate the efficacy of using down-looking ADCPs of multiple frequencies to estimate SSC. The datasets included replicate sets of point and depth-integrated suspended-sediment samples and stationary and cross-sectional backscatter profiles using multiple ADCPs with differing frequencies. Reasonable calibrations were developed at all sites measured when calibrating to the coarse fraction (R2 0.66 to 0.98 with slopes close to 0.1 using 1200kHz ADCPs). Calibrations to the fines fraction were problematic because acoustic backscatter response was dominated by coarse particles when present, and substantial attenuation was contributed by coarse particles at some sites. A sensitivity analysis on minimum datasets showed that good calibrations could be developed using two verticals of data collected over a range of backscatter and sediment conditions, with a minimum of three points sampled for sediment within each vertical. Overall, results to date show great promise in using ADCPs to rapidly estimate and visualize SSC with high spatial resolution, and a new beta software tool called Sediment Transect Acoustics simplifies data processing. Improvements are underway to the beta software used in processing to allow incorporation of more acoustic and sediment characteristics and to estimate SSC in areas of the river cross section unmeasured by the ADCP.","conferenceTitle":"Joint Federal Interagency Sedimentation and Hydrologic Modeling Conference","conferenceDate":"Reno, Nevada","conferenceLocation":"June 24-28, 2019","language":"English","publisher":"SEDHYD, Inc.","usgsCitation":"Wood, M.S., Szupiany, R.N., Boldt, J.A., Straub, T.D., and Domanski, M.M., 2019, Measuring suspended sediment in sand-bedded rivers using down-looking acoustic doppler current profilers, Joint Federal Interagency Sedimentation and Hydrologic Modeling Conference, June 24-28, 2019, Reno, Nevada, 15 p.","productDescription":"15 p.","ipdsId":"IP-105706","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":366862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366791,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/openconf/modules/request.php?module=oc_program&action=view.php&id=157&file=1/157.pdf"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Szupiany, Ricardo N.","contributorId":189755,"corporation":false,"usgs":false,"family":"Szupiany","given":"Ricardo","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":768875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boldt, Justin A. 0000-0002-0771-3658","orcid":"https://orcid.org/0000-0002-0771-3658","contributorId":207849,"corporation":false,"usgs":true,"family":"Boldt","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Straub, Timothy D. 0000-0002-5896-0851","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":215662,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy","email":"","middleInitial":"D.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Domanski, Marian M. 0000-0002-0468-314X mdomanski@usgs.gov","orcid":"https://orcid.org/0000-0002-0468-314X","contributorId":5035,"corporation":false,"usgs":true,"family":"Domanski","given":"Marian","email":"mdomanski@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768878,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204918,"text":"70204918 - 2019 - The state of the world’s mangrove forests: Past, present, and future","interactions":[],"lastModifiedDate":"2019-08-23T15:17:52","indexId":"70204918","displayToPublicDate":"2019-08-23T11:37:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5317,"text":"Annual Review of Environment and Resources","active":true,"publicationSubtype":{"id":10}},"title":"The state of the world’s mangrove forests: Past, present, and future","docAbstract":"Intertidal mangrove forests are a dynamic ecosystem experiencing rapid changes in extent and habitat quality over geological history, today and into the future. Climate and sea level have drastically altered mangrove distribution since their appearance in the geological record ∼75 million years ago (Mya), through to the Holocene. In contrast, contemporary mangrove dynamics are driven primarily by anthropogenic threats, including pollution, overextraction, and conversion to aquaculture and agriculture. Deforestation rates have declined in the past decade, but the future of mangroves is uncertain; new deforestation frontiers are opening, particularly in Southeast Asia and West Africa, despite international conservation policies and ambitious global targets for rehabilitation. In addition, geological and climatic processes such as sea-level rise that were important over geological history will continue to influence global mangrove distribution in the future. Recommendations are given to reframe mangrove conservation, with a view to improving the state of mangroves in the future.","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-environ-101718-033302","usgsCitation":"Friess, D.A., Rogers, K., Lovelock, C.E., Krauss, K., Hamilton, S.E., Lee, S.Y., Lucas, R., Primavera, J., Rajkaran, A., and Shi, S., 2019, The state of the world’s mangrove forests: Past, present, and future: Annual Review of Environment and Resources, v. 44, p. 16-1-16.27, https://doi.org/10.1146/annurev-environ-101718-033302.","productDescription":"27 p.","startPage":"16-1","endPage":"16.27","ipdsId":"IP-103200","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488811,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-environ-101718-033302","text":"Publisher Index Page"},{"id":366858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Friess, Daniel A.","contributorId":169072,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel","email":"","middleInitial":"A.","affiliations":[{"id":25407,"text":"Department of Geography, National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":769011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Kerrylee","contributorId":64151,"corporation":false,"usgs":false,"family":"Rogers","given":"Kerrylee","email":"","affiliations":[{"id":16754,"text":"University of Wollongong, Australia","active":true,"usgs":false}],"preferred":false,"id":769012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovelock, Catherine E.","contributorId":215562,"corporation":false,"usgs":false,"family":"Lovelock","given":"Catherine","email":"","middleInitial":"E.","affiliations":[{"id":39280,"text":"School of Biological Sciences, The University of Queensland","active":true,"usgs":false}],"preferred":false,"id":769013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":218325,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamilton, Stuart E.","contributorId":218326,"corporation":false,"usgs":false,"family":"Hamilton","given":"Stuart","email":"","middleInitial":"E.","affiliations":[{"id":39802,"text":"Department of Geography and Geosciences, Salisbury University","active":true,"usgs":false}],"preferred":false,"id":769014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Shing Yip","contributorId":39694,"corporation":false,"usgs":false,"family":"Lee","given":"Shing","email":"","middleInitial":"Yip","affiliations":[{"id":13193,"text":"School of Environment, Griffith University","active":true,"usgs":false}],"preferred":false,"id":769015,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lucas, Richard","contributorId":218327,"corporation":false,"usgs":false,"family":"Lucas","given":"Richard","email":"","affiliations":[{"id":39803,"text":"Department of Geography and Earth Sciences, Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":769016,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Primavera, Jurgenne","contributorId":218328,"corporation":false,"usgs":false,"family":"Primavera","given":"Jurgenne","email":"","affiliations":[{"id":39804,"text":"Zoological Society of London, Bgy. Magdalo, La Paz","active":true,"usgs":false}],"preferred":false,"id":769017,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rajkaran, Anusha","contributorId":218329,"corporation":false,"usgs":false,"family":"Rajkaran","given":"Anusha","email":"","affiliations":[{"id":39805,"text":"Department of Biodiversity and Conservation Biology, University of the Western Cape","active":true,"usgs":false}],"preferred":false,"id":769018,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shi, Suhua","contributorId":218330,"corporation":false,"usgs":false,"family":"Shi","given":"Suhua","email":"","affiliations":[{"id":39806,"text":"School of Life Sciences, Sun Yat-Sen University","active":true,"usgs":false}],"preferred":false,"id":769019,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70247885,"text":"70247885 - 2019 - US Costal Research Program: Fostering academic research","interactions":[],"lastModifiedDate":"2023-08-23T12:28:54.683977","indexId":"70247885","displayToPublicDate":"2019-08-23T07:27:41","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"US Costal Research Program: Fostering academic research","docAbstract":"<p>The US Coastal Research Program (USCRP) was founded in 2016 through a grassroots initiative of scientists, researchers, and practitioners to address nearshore coastal research priorities of greatest relevance to coastal communities and build a skilled US coastal workforce. The USCRP supports academic research to address challenges identified through thematic workshops and pair academic researchers with practitioners to ensure research findings and tools address relevant coastal management challenges. Through these partnerships, the USCRP addresses societally-relevant needs of coastal communities and nurtures the future U.S. coastal workforce. To date, the USCRP has conducted two thematic workshops and funded 13 academic research studies. Herein we provide an overview of the desired characteristics for USCRP’s academic research, summarize accomplishments from studies responding to challenges identified in the 2016 workshop on Dune Management, and provide an overview of ongoing research studies stemming from the 2018 workshop on Storm Processes and Impacts.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0255","usgsCitation":"Rosati, J.D., Elko, N., Stockdon, H.F., Lillycrop, J., and Cialone, M., 2019, US Costal Research Program: Fostering academic research, <i>in</i> Coastal Sediments 2019, p. 2975-2982, https://doi.org/10.1142/9789811204487_0255.","productDescription":"8 p.","startPage":"2975","endPage":"2982","ipdsId":"IP-105677","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"links":[{"id":420070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosati, Julie Dean","contributorId":328642,"corporation":false,"usgs":false,"family":"Rosati","given":"Julie","email":"","middleInitial":"Dean","affiliations":[{"id":78434,"text":"U.S. Army Engineer Research & Development Center, Coastal & Hydraulics Laboratory","active":true,"usgs":false}],"preferred":false,"id":880866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elko, Nicole","contributorId":287920,"corporation":false,"usgs":false,"family":"Elko","given":"Nicole","affiliations":[{"id":61663,"text":"American Shore and Beach Preservation Association","active":true,"usgs":false}],"preferred":false,"id":880867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdon, Hilary F 0000-0003-0791-4676","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":305600,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"","middleInitial":"F","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":880868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lillycrop, Jeff","contributorId":328643,"corporation":false,"usgs":false,"family":"Lillycrop","given":"Jeff","affiliations":[{"id":78436,"text":"Retired U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory","active":true,"usgs":false}],"preferred":false,"id":880869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cialone, Mary","contributorId":306166,"corporation":false,"usgs":false,"family":"Cialone","given":"Mary","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":880870,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70247884,"text":"70247884 - 2019 - US Costal Research Program: Building a research community to support coastal stakeholders","interactions":[],"lastModifiedDate":"2023-08-23T12:29:34.355959","indexId":"70247884","displayToPublicDate":"2019-08-23T07:24:25","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"US Costal Research Program: Building a research community to support coastal stakeholders","docAbstract":"<div class=\"article__body \"><div class=\"NLM_abstract\"><p>The U.S. Coastal Research Program (USCRP) was created to develop, coordinate, and enable a National science plan to address growing needs of coastal communities. Researchers from federal agencies, academia, industry, and non-governmental organizations work together to identify priorities that support coastal stakeholders in activities such as emergency response, resource management, planning, and engineering. By fostering existing partnerships and multi-agency collaborations, the USCRP increases the value and impact of these coastal research applications. Through user-driven topical workshops, the USCRP initiates conversation between users and researchers to help ensure that research addresses societal needs along the coastline. By leveraging and expanding federal funding, opportunities are created for coastal science and engineering university programs to advance their research directions, provide graduate student opportunities, and connect their work to National coastal priorities.</p></div><div id=\"keywords\" class=\"hlFld-keywords\"><br></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments 2019 Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0256","usgsCitation":"Stockdon, H.F., Brandt, L., Cialone, M., Elko, N., Haines, J.W., Lillycrop, J., and Rosati, J., 2019, US Costal Research Program: Building a research community to support coastal stakeholders, <i>in</i> Coastal Sediments 2019 Proceedings, p. 2983-2989, https://doi.org/10.1142/9789811204487_0256.","productDescription":"7 p.","startPage":"2983","endPage":"2989","ipdsId":"IP-105676","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"links":[{"id":420069,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Stockdon, Hilary F 0000-0003-0791-4676","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":305600,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"","middleInitial":"F","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":880859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, L.","contributorId":328637,"corporation":false,"usgs":false,"family":"Brandt","given":"L.","affiliations":[{"id":78430,"text":"BOEM, Marine Minerals Branch, Sterling, VA, USA","active":true,"usgs":false}],"preferred":false,"id":880860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cialone, M.","contributorId":328638,"corporation":false,"usgs":false,"family":"Cialone","given":"M.","affiliations":[{"id":78431,"text":"US Army Corps of Engineers, Coastal and Hydraulics Laboratory, Engineer Research & Development Center, Washington, DC, USA","active":true,"usgs":false}],"preferred":false,"id":880861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elko, N.","contributorId":328639,"corporation":false,"usgs":false,"family":"Elko","given":"N.","email":"","affiliations":[{"id":78432,"text":"American Shore and Beach Preservation Association, Folly Beach, SC, USA","active":true,"usgs":false}],"preferred":false,"id":880862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haines, John W. 0000-0002-6475-8924 jhaines@usgs.gov","orcid":"https://orcid.org/0000-0002-6475-8924","contributorId":509,"corporation":false,"usgs":true,"family":"Haines","given":"John","email":"jhaines@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":880863,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lillycrop, J.","contributorId":328640,"corporation":false,"usgs":false,"family":"Lillycrop","given":"J.","affiliations":[{"id":78431,"text":"US Army Corps of Engineers, Coastal and Hydraulics Laboratory, Engineer Research & Development Center, Washington, DC, USA","active":true,"usgs":false}],"preferred":false,"id":880864,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosati, J.","contributorId":328641,"corporation":false,"usgs":false,"family":"Rosati","given":"J.","email":"","affiliations":[{"id":78431,"text":"US Army Corps of Engineers, Coastal and Hydraulics Laboratory, Engineer Research & Development Center, Washington, DC, USA","active":true,"usgs":false}],"preferred":false,"id":880865,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203647,"text":"sir20195041 - 2019 - The hydrologic benefits of wetland and prairie restoration in western Minnesota—Lessons learned at the Glacial Ridge National Wildlife Refuge, 2002–15","interactions":[],"lastModifiedDate":"2019-08-23T10:13:47","indexId":"sir20195041","displayToPublicDate":"2019-08-22T16:20:03","publicationYear":"2019","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":"2019-5041","displayTitle":"The Hydrologic Benefits of Wetland and Prairie Restoration in Western Minnesota—Lessons Learned at the Glacial Ridge National Wildlife Refuge, 2002–15","title":"The hydrologic benefits of wetland and prairie restoration in western Minnesota—Lessons learned at the Glacial Ridge National Wildlife Refuge, 2002–15","docAbstract":"<p>Conversion of agricultural lands to wetlands and native prairie is widely viewed as beneficial because it can restore natural ecological and hydrologic functions. Some of these functions, such as reduced peak flows and improved water quality, are often attributed to restoration; however, such benefits have not been quantified at a small scale. To inform future restoration efforts, especially in northern prairie settings, the U.S. Geological Survey, in cooperation with the Minnesota Environment and Natural Resources Trust Fund, the U.S. Fish and Wildlife Service, and the Red Lake Watershed District, compared the hydrology of the Nation’s largest wetland and prairie restoration, Glacial Ridge National Wildlife Refuge, before and after restoration.</p><p>Wetland and prairie restorations resulted in substantial changes in flows through the hydrologic cycle, in reduction of overland runoff and ditch flow during storms, and in improvements in water quality. Wetland and prairie restorations within the six basins characterized in this study resulted in a 14-percent decrease of cropland, a 6-percent increase of wetlands, and a 19-percent increase of native prairie between 2002 and 2015. During the same period, runoff rate decreased 33 percent (as a proportion of precipitation) and ditch flow rate decreased by 23 percent. Areal groundwater recharge rate increased from 30 to 35 percent (16 percent relative change in flow rate). Base flow as a proportion of total ditch flow increased from 25 to 35 percent (a 40-percent relative change). Peak ditch flow from storms decreased, ditch-flow recessions lengthened, and base flow from groundwater discharge increased, though only a small amount in some basins. These changes reduce the amount of ditch water leaving the study area, reducing flows that contribute to downstream flooding. Median surficial groundwater and ditch-water nitrate concentrations decreased by 79 and 53 percent, respectively. Median ditch-water suspended-sediment concentration decreased by 64 percent.</p><p>Neither the density of restorations nor the beneficial changes in hydrology were evenly distributed in the study area. The amount of hydrologic benefits within an individual ditch basin did not relate directly with the amount of restoration in that basin; however, the landscape characteristics that related most closely with hydrologic benefits were the area of a basin underlain by a surficial aquifer and the area of drained wetlands (indicating the potential for wetland restoration). In western Minnesota, the basins underlain by surficial aquifers that contain large areas of drained wetlands are the uplands of the Alexandria Moraine Complex and the beaches of glacial Lake Agassiz on the eastern side of the western one-third of Minnesota, north of Wilmar, Minnesota. These findings provide resource managers with information that can help focus restoration resources in areas where the greatest hydrologic benefits can be realized.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195041","collaboration":"Prepared in cooperation with the Minnesota Environment and Natural Resources Trust Fund, the U.S. Fish and Wildlife Service, and the Red Lake Watershed District","usgsCitation":"Cowdery, T.K., Christenson, C.A., and Ziegeweid, J.R., 2019, The hydrologic benefits of wetland and prairie restoration in western Minnesota—Lessons learned at the Glacial Ridge National Wildlife Refuge, 2002–15: U.S. Geological Survey Scientific Investigations Report 2019–5041, 81 p., https://doi.org/10.3133/sir20195041.","productDescription":"Report: ix, 81 p.; Data Release","numberOfPages":"96","onlineOnly":"Y","ipdsId":"IP-093837","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":366811,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5041/sir20195041.pdf","text":"Report","size":"7.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5041"},{"id":366812,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QRD7A3","text":"USGS data release ","linkHelpText":"A Soil-Water-Balance model and precipitation data used for HEC/HMS modelling at the Glacial Ridge National Wildlife Refuge area, northwestern Minnesota, 2002–15"},{"id":366810,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5041/coverthb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Glacial Ridge 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              -96.52107238769531,\n              47.584399766577576\n            ],\n            [\n              -96.12007141113281,\n              47.584399766577576\n            ],\n            [\n              -96.12007141113281,\n              47.823298103444806\n            ],\n            [\n              -96.52107238769531,\n              47.823298103444806\n            ],\n            [\n              -96.52107238769531,\n              47.584399766577576\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/umid-water\" href=\"https://www.usgs.gov/centers/umid-water\">Upper Midwest Water Science Center</a> <br>U.S. Geological Survey<br>2280 Woodale Drive <br>Mounds View, MN </p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>General Hydrology of the Glacial Ridge Study Area</li><li>Benefits of Wetland and Prairie Restorations</li><li>Hydrologic Benefits of Wetland and Prairie Restoration and Implications for Western Minnesota</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Gridded Soil Survey Geographic Database (gSSURGO) Parent Group-Material Units</li><li>Appendix 2. Site Names, Numbers, and Types</li><li>Appendix 3. Water Balance</li><li>Reference Cited</li><li>Appendix 4. Hydrologic Engineering Center’s Hydrologic Modeling System (HEC–HMS) Model Inputs</li><li>Appendix 5. Blank Sample Analysis</li><li>Appendix 6. Groundwater and Surface-Water Annual Balances</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-08-22","noUsgsAuthors":false,"publicationDate":"2019-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Cowdery, Timothy K. 0000-0001-9402-6575","orcid":"https://orcid.org/0000-0001-9402-6575","contributorId":215921,"corporation":false,"usgs":true,"family":"Cowdery","given":"Timothy","email":"","middleInitial":"K.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christenson, Catherine A. 0000-0001-5944-2186","orcid":"https://orcid.org/0000-0001-5944-2186","contributorId":215922,"corporation":false,"usgs":true,"family":"Christenson","given":"Catherine A.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegeweid, Jeffrey R. 0000-0001-7797-3044 jrziege@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-3044","contributorId":4166,"corporation":false,"usgs":true,"family":"Ziegeweid","given":"Jeffrey","email":"jrziege@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763408,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205127,"text":"70205127 - 2019 - An evaluation of sedatives for use in transport of juvenile endangered fishes in plastic bags","interactions":[],"lastModifiedDate":"2020-01-03T09:54:00","indexId":"70205127","displayToPublicDate":"2019-08-22T15:51:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of sedatives for use in transport of juvenile endangered fishes in plastic bags","docAbstract":"<p><span>Trucks and aircraft typically transport rare or endangered fishes in large unsealed tanks containing large volumes of water (typically hundreds of liters) during conservation efforts. Ornamental fishes, however, are commonly sent by mail in small sealed plastic bags filled with oxygen, minimal water, and a small amount of sedative to reduce weight and overall shipping costs. Our goal was to evaluate if these \"minimal water\" methods used for shipping ornamental fishes could also be used to safely transport endangered Humpback Chub,&nbsp;</span><i>Gila cypha</i><span>, into remote locations within Grand Canyon on foot to eliminate helicopter transportation costs associated with conservation actions. In the laboratory, 20 (mean,&nbsp;</span><i>M</i><span>&nbsp;= 193.9 g of fish/L,&nbsp;</span><i>SD</i><span>&nbsp;= 37.8) juvenile Bonytail,&nbsp;</span><i>Gila elegans</i><span>, or Humpback Chub were placed in plastic bags containing 1 liter of water and pure oxygen for 4, 8, and 12 hours. Treatments contained either no sedative or one of three sedatives: AquaCalm (metomidate hydrochloride), Tricaine-S (tricaine methanesulfonate or MS-222), or Aqui-S 20E (eugenol) to evaluate the effectiveness of minimal water methods for use in fish transport. Aqui-S 20E and the control without sedatives exhibited the highest survival (logistic regression, Aqui-S 20E,&nbsp;</span><i>P</i><span>&nbsp;= 0.994, 95% CI [0.978, 0.998]; Control,&nbsp;</span><i>P</i><span>&nbsp;= 0.995, 95% CI [0.981, 0.998]), followed by Tricaine-S (</span><i>P</i><span>&nbsp;= 0.933, 95% CI [0.902, 0.955]), and AquaCalm (</span><i>P</i><span>&nbsp;= 0.355, 95% CI [0.307, 0.406]). We also conducted a field trial in which we placed 240 juvenile Humpback Chub in shipping bags (</span><i>n</i><span>&nbsp;= 20 fish/bag/1L of water;&nbsp;</span><i>M</i><span>&nbsp;= 143.2 g of fish/L,&nbsp;</span><i>SD</i><span>= 9.72) with no sedative or 10.0 mg/L of Aqui-S 20E and transported them by vehicle and on foot. No fish perished during transport, indicating these minimal water methods can be used to safely, and at little expense, transport endangered Humpback Chub into remote locations.</span></p>","language":"English","publisher":"US Fish and Wildlife Service","doi":"10.3996/032019-JFWM-016","usgsCitation":"Tennant, L.A., Vaage, B., and Ward, D.L., 2019, An evaluation of sedatives for use in transport of juvenile endangered fishes in plastic bags: Journal of Fish and Wildlife Management, v. 10, no. 2, p. 532-543, https://doi.org/10.3996/032019-JFWM-016.","productDescription":"12 p.","startPage":"532","endPage":"543","ipdsId":"IP-077791","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467345,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/032019-jfwm-016","text":"Publisher Index Page"},{"id":367196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Tennant, Laura A. 0000-0003-0062-7287 ltennant@usgs.gov","orcid":"https://orcid.org/0000-0003-0062-7287","contributorId":5984,"corporation":false,"usgs":true,"family":"Tennant","given":"Laura","email":"ltennant@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaage, Ben M. 0000-0003-1730-4302","orcid":"https://orcid.org/0000-0003-1730-4302","contributorId":218746,"corporation":false,"usgs":false,"family":"Vaage","given":"Ben M.","affiliations":[{"id":39898,"text":"Fish, Wildlife, and Conservation Biology, Colorado State University, 3106 Rampart Rd., Ft. Collins, CO 80523","active":true,"usgs":false}],"preferred":false,"id":770134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770298,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228326,"text":"70228326 - 2019 - Temporally adaptive acoustic sampling to maximize detection across a suite of focal wildlife species","interactions":[],"lastModifiedDate":"2022-02-09T20:12:38.615453","indexId":"70228326","displayToPublicDate":"2019-08-22T14:03:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Temporally adaptive acoustic sampling to maximize detection across a suite of focal wildlife species","docAbstract":"<ol class=\"\"><li>Acoustic recordings of the environment can produce species presence–absence data for characterizing populations of sound-producing wildlife over multiple spatial scales. If a species is present at a site but does not vocalize during a scheduled audio recording survey, researchers may incorrectly conclude that the species is absent (“false negative”). The risk of false negatives is compounded when audio devices have sampling constraints, do not record continuously, and must be manually scheduled to operate at pre-selected times of day, particularly when research programs target multiple species with acoustic availability that varies across temporal conditions.</li><li>We developed a temporally adaptive acoustic sampling algorithm to maximize detection probabilities for a suite of focal species amid sampling constraints. The algorithm combines user-supplied species vocalization models with site-specific weather forecasts to set an optimized sampling schedule for the following day. To test our algorithm, we simulated hourly vocalization probabilities for a suite of focal species in a hypothetical monitoring area for the year 2016. We conducted a factorial experiment that sampled from the 2016 acoustic environment to compare the probability of acoustic detection by a fixed (stationary) schedule versus a temporally adaptive optimized schedule under several sampling efforts and monitoring durations.</li><li>We found that over the course of a study season, the probability of acoustically capturing a focal species (given presence) at least once via automated acoustic monitoring was greater (and acoustic capture occurred earlier in the season) when using the temporally adaptive optimized schedule as compared to a fixed schedule.</li><li>The advantages of a temporally adaptive optimized acoustic sampling schedule are magnified when a study duration is short, sampling effort is low, and/or species acoustic availability is minimal. This methodology presents the opportunity to maximize acoustic monitoring sampling efforts amid constraints.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5579","usgsCitation":"Balantic, C., and Donovan, T.M., 2019, Temporally adaptive acoustic sampling to maximize detection across a suite of focal wildlife species: Ecology and Evolution, v. 9, no. 18, p. 10582-10600, https://doi.org/10.1002/ece3.5579.","productDescription":"19 p.","startPage":"10582","endPage":"10600","ipdsId":"IP-098225","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5579","text":"Publisher Index Page"},{"id":395723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Sonoran Desert","volume":"9","issue":"18","noUsgsAuthors":false,"publicationDate":"2019-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Balantic, Cathleen","contributorId":275168,"corporation":false,"usgs":false,"family":"Balantic","given":"Cathleen","affiliations":[{"id":56735,"text":"University of Vemont","active":true,"usgs":false}],"preferred":false,"id":833763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833764,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204969,"text":"70204969 - 2019 - Tsunamis: Stochastic models of generation, propagation, and occurrence","interactions":[],"lastModifiedDate":"2019-08-28T13:55:46","indexId":"70204969","displayToPublicDate":"2019-08-22T13:52:06","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"title":"Tsunamis: Stochastic models of generation, propagation, and occurrence","docAbstract":"The devastating consequences of the 2004 Indian Ocean and 2011 Tohoku-oki tsunamis have led to increased research into many different aspects of the tsunami phenomenon.  In this paper, we review research related to the observed complexity and uncertainty associated with tsunami generation, propagation, and occurrence described and analyzed using a variety of stochastic models. In each case, tsunamis generated by earthquakes are primarily considered. Stochastic models are developed from the physical theories that govern tsunami evolution combined with empirical models fitted to seismic and tsunami observations, as well as tsunami catalogs.  These stochastic models are key to providing probabilistic forecasts and hazard assessments for tsunamis.  The stochastic methods described here are similar to those described for earthquakes (Vere-Jones, 2013) and volcanoes (Bebbington, 2013) in this Encyclopedia.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of complexity and systems science","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-642-27737-5_595-2","usgsCitation":"Geist, E.L., David Oglesby, and Ryan, K., 2019, Tsunamis: Stochastic models of generation, propagation, and occurrence, chap. <i>of</i> Encyclopedia of complexity and systems science, 30 p., https://doi.org/10.1007/978-3-642-27737-5_595-2.","productDescription":"30 p.","ipdsId":"IP-105439","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":367024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"2nd edition","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"David Oglesby","contributorId":218469,"corporation":false,"usgs":false,"family":"David Oglesby","affiliations":[{"id":6984,"text":"UC Riverside","active":true,"usgs":false}],"preferred":false,"id":769325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, Kenny","contributorId":218470,"corporation":false,"usgs":false,"family":"Ryan","given":"Kenny","email":"","affiliations":[{"id":39852,"text":"Air Force Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":769326,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205514,"text":"70205514 - 2019 - Thermal variability drives synchronicity of an aquatic insect resource pulse","interactions":[],"lastModifiedDate":"2021-04-27T11:43:12.246964","indexId":"70205514","displayToPublicDate":"2019-08-22T11:09:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Thermal variability drives synchronicity of an aquatic insect resource pulse","docAbstract":"<p><span>Spatial heterogeneity in environmental conditions can prolong food availability by desynchronizing the timing of ephemeral, high‐magnitude resource pulses. Spatial patterns of water temperature are highly variable among rivers as determined by both natural and anthropogenic features, but the influence of this variability on freshwater resource pulse phenology is poorly documented. We quantified water temperature and emergence phenology of an aquatic insect (salmonfly,&nbsp;</span><i>Pteronarcys californica</i><span>) resource pulse in two rivers characterized by differing catchment topography and human impact. Along both rivers, salmonfly emergence occurred earlier where spring temperatures were warmer. Emergence events were brief (4–8&nbsp;d) at sites in the more human‐impacted river, but occurred asynchronously along the entire river, lasting 27&nbsp;d in total. In contrast, emergence events were more prolonged (6–11&nbsp;d) at sites on the more natural and topographically complex river, but occurred synchronously along the entire river, lasting 13&nbsp;d in total. These scale‐specific differences in subsidy duration could have opposing consequences for salmonfly consumers depending on their mobility and foraging habits. Asynchronous emergence at a large scale is potentially most important for mobile consumers like birds and fish that can migrate to feed on aquatic insects and track resource waves across a landscape, whereas prolonged emergence duration at a smaller scale may be most important for immobile or opportunistic consumers like spiders and ants. Relating environmental heterogeneity and resource pulse phenology across a gradient of human impact and at multiple spatial scales is needed for a better understanding of how food availability, aquatic–terrestrial linkages, and consumer–resource dynamics may change with climate variability and increasing human activity in the future.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2852","usgsCitation":"Anderson, H., Alberson, L.K., and Walters, D., 2019, Thermal variability drives synchronicity of an aquatic insect resource pulse: Ecosphere, v. 10, no. 8, e02852, 11 p., https://doi.org/10.1002/ecs2.2852.","productDescription":"e02852, 11 p.","ipdsId":"IP-096935","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":460305,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2852","text":"Publisher Index Page"},{"id":367602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Gallatin River Basin, Madison River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.01934814453125,\n              44.51805165000559\n            ],\n            [\n              -111.12396240234375,\n              44.51805165000559\n            ],\n            [\n              -111.12396240234375,\n              45.51789504294005\n            ],\n            [\n              -112.01934814453125,\n              45.51789504294005\n            ],\n            [\n              -112.01934814453125,\n              44.51805165000559\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Heidi E.","contributorId":218802,"corporation":false,"usgs":false,"family":"Anderson","given":"Heidi E.","affiliations":[{"id":39916,"text":"Montana State University, Bozeman, Montana","active":true,"usgs":false}],"preferred":false,"id":771469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alberson, Lindsey K.","contributorId":219168,"corporation":false,"usgs":false,"family":"Alberson","given":"Lindsey","email":"","middleInitial":"K.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":771470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":771468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205486,"text":"70205486 - 2019 - Estrogen receptor 1 expression and methylation of Esr1 promoter in mouse fetal prostate mesenchymal cells induced by gestational exposure to bisphenol A or ethinylestradiol","interactions":[],"lastModifiedDate":"2019-09-19T09:24:31","indexId":"70205486","displayToPublicDate":"2019-08-22T09:17:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5862,"text":"Environmental Epigenetics","onlineIssn":"2058-5888","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Estrogen receptor 1 expression and methylation of <i>Esr1</i> promoter in mouse fetal prostate mesenchymal cells induced by gestational exposure to bisphenol A or ethinylestradiol","title":"Estrogen receptor 1 expression and methylation of Esr1 promoter in mouse fetal prostate mesenchymal cells induced by gestational exposure to bisphenol A or ethinylestradiol","docAbstract":"<p><span>Fetal/neonatal environmental estrogen exposures alter developmental programing of the prostate gland causing onset of diseases later in life. We have previously shown&nbsp;</span><i>in vitro</i><span>&nbsp;that exposures to 17β-estradiol (E2) and the endocrine disrupting chemical bisphenol A, at concentrations relevant to human exposure, cause an elevation of estrogen receptor α (</span><i>Esr1</i><span>) mRNA in primary cultures of fetal mouse prostate mesenchymal cells; a similar result was observed in the fetal rat urogenital sinus. Effects of these chemicals on prostate mesenchyme&nbsp;</span><i>in vivo</i><span>&nbsp;are not well understood. Here we show effects in mice of fetal exposure to the estrogenic drug in mixed oral contraceptives, 17α-ethinylestradiol (EE2), at a concentration of EE2 encountered by human embryos/fetuses whose mothers become pregnant while on EE2-containing oral contraceptives, or bisphenol A at a concentration relevant to exposures observed in human fetuses&nbsp;</span><i>in vivo</i><span>. Expression of&nbsp;</span><i>Esr1</i><span>&nbsp;was elevated by bisphenol A or EE2 exposures, which decreased the global expression of DNA methyltransferase 3A (</span><i>Dnmt3a</i><span>), while methylation of&nbsp;</span><i>Esr1</i><span>&nbsp;promoter was significantly increased. These results show that exposures to the environmental estrogen bisphenol A and drug EE2 cause transcriptional and epigenetic alterations to expression of estrogen receptors in developing prostate mesenchyme&nbsp;</span><i>in vivo</i><span>.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/eep/dvz012","usgsCitation":"Bhandari, R., Taylor, J.A., Sommerfeld-Sager, J., Tillitt, D.E., Ricke, W.A., and vom Saal, F.S., 2019, Estrogen receptor 1 expression and methylation of Esr1 promoter in mouse fetal prostate mesenchymal cells induced by gestational exposure to bisphenol A or ethinylestradiol: Environmental Epigenetics, v. 5, no. 3, dvz012, 8 p., https://doi.org/10.1093/eep/dvz012.","productDescription":"dvz012, 8 p.","ipdsId":"IP-101428","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":467347,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/eep/dvz012","text":"Publisher Index Page"},{"id":367541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Bhandari, Ramji K.","contributorId":215751,"corporation":false,"usgs":false,"family":"Bhandari","given":"Ramji K.","affiliations":[{"id":39315,"text":"Department of Biology, University of North Carolina Greensboro, Greensboro, NC","active":true,"usgs":false}],"preferred":false,"id":771368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Julia A.","contributorId":140428,"corporation":false,"usgs":false,"family":"Taylor","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":13494,"text":"Division of Biological Sciences, University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":771369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sommerfeld-Sager, Jennifer","contributorId":219134,"corporation":false,"usgs":false,"family":"Sommerfeld-Sager","given":"Jennifer","email":"","affiliations":[{"id":13494,"text":"Division of Biological Sciences, University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":771370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":771367,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ricke, William A.","contributorId":219135,"corporation":false,"usgs":false,"family":"Ricke","given":"William","email":"","middleInitial":"A.","affiliations":[{"id":39964,"text":"Department of Urology, Molecular Environmental Toxicology Program, George M. O’Brien Center of Research Excellence, University of Wisconsin, Madison WI","active":true,"usgs":false}],"preferred":false,"id":771371,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"vom Saal, Frederick S.","contributorId":219136,"corporation":false,"usgs":false,"family":"vom Saal","given":"Frederick","email":"","middleInitial":"S.","affiliations":[{"id":13494,"text":"Division of Biological Sciences, University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":771372,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70215267,"text":"70215267 - 2019 - Paleoclimate of the subtropical Andes during the latest Miocene, Lauca Basin, Chile","interactions":[],"lastModifiedDate":"2020-10-14T14:04:19.848137","indexId":"70215267","displayToPublicDate":"2019-08-22T08:57:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Paleoclimate of the subtropical Andes during the latest Miocene, Lauca Basin, Chile","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0045\">Uplift of the Andean Cordillera during the Miocene and Pliocene produced large-scale changes in regional atmospheric circulation that impacted local ecosystems. The Lauca Basin (northern Chilean Altiplano) contains variably fluvial and lacustrine sedimentary sequences spanning the interval from 8.7 to 2.3 Ma. Field samples were collected from paleo-lacustrine sediments in the basin. Sediments were dated using detrital zircon geochronology on volcanic tuffs, yielding an age range between ~5.57 and 5.44 Ma. These new age constraints provided an opportunity to evaluate changes in the Lauca Basin ecosystem across this dynamic Miocene-Pliocene transition. We employed multiple proxies (lithofacies analysis, diatoms, pollen, and oxygen stable isotopes of authigenic carbonates) to interpret ancient lacustrine and terrestrial paleoenvironments. Alternations among mudstone, carbonate, and evaporitic facies indicate lake-level variability through time. The diatom assemblage is characterized by meso- to hypersaline and alkaline-tolerant taxa typical of shallow lakes. The δ<sup>18</sup>O values ranged from −8.96 to −2.22‰ indicating fluctuations in water balance. Pollen taxa in the outcrop are typical of a transitional stage between seasonal cloud forest and open grassland. Together, these proxies indicate that the Lauca paleolake sediments were deposited under a wetter-than-modern climate with high temporal variability. Our results refine previous studies in the Lauca Basin and are consistent with other regional studies suggesting that the South American summer monsoon at the Miocene-Pliocene transition was more intense than it is at present.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2019.109336","usgsCitation":"Feitl, M., Kern, A., Jones, A., Fritz, S., Baker, P.E., R.M., J., Salenbien, W., and Willard, D.A., 2019, Paleoclimate of the subtropical Andes during the latest Miocene, Lauca Basin, Chile: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 534, 109336, 14 p., https://doi.org/10.1016/j.palaeo.2019.109336.","productDescription":"109336, 14 p.","ipdsId":"IP-105895","costCenters":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"links":[{"id":467348,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.palaeo.2019.109336","text":"Publisher Index Page"},{"id":379358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.685546875,\n              -29.036960648558257\n            ],\n            [\n              -66.3134765625,\n              -29.036960648558257\n            ],\n            [\n              -66.3134765625,\n              -16.93070509876553\n            ],\n            [\n              -72.685546875,\n              -16.93070509876553\n            ],\n            [\n              -72.685546875,\n              -29.036960648558257\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"534","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Feitl, Melina","contributorId":243038,"corporation":false,"usgs":false,"family":"Feitl","given":"Melina","email":"","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":801399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kern, Andrea","contributorId":243039,"corporation":false,"usgs":false,"family":"Kern","given":"Andrea","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":801400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Amanda","contributorId":243040,"corporation":false,"usgs":false,"family":"Jones","given":"Amanda","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":801401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fritz, Sherilyn","contributorId":205233,"corporation":false,"usgs":false,"family":"Fritz","given":"Sherilyn","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":801402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baker, Paul E.","contributorId":176810,"corporation":false,"usgs":false,"family":"Baker","given":"Paul","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":801403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"R.M., Joeckel .","contributorId":243041,"corporation":false,"usgs":false,"family":"R.M.","given":"Joeckel","email":"","middleInitial":".","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":801404,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Salenbien, Wout","contributorId":243042,"corporation":false,"usgs":false,"family":"Salenbien","given":"Wout","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":801405,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":801406,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70205080,"text":"70205080 - 2019 - Enhancing reproductive assessments of the Florida manatee Trichechus manatus latirostris by establishing optimal time period and inhibin B baseline concentrations","interactions":[],"lastModifiedDate":"2019-10-11T16:03:43","indexId":"70205080","displayToPublicDate":"2019-08-22T07:36:43","publicationYear":"2019","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}},"displayTitle":"Enhancing reproductive assessments of the Florida manatee <i>Trichechus manatus latirostris</i> by establishing optimal time period and inhibin B baseline concentrations","title":"Enhancing reproductive assessments of the Florida manatee Trichechus manatus latirostris by establishing optimal time period and inhibin B baseline concentrations","docAbstract":"<p><span>The Florida manatee&nbsp;</span><i>Trichechus manatus latirostris</i><span>&nbsp;occupies coastal and riverine habitats that may influence the species’ endogenous biological rhythms, including its reproductive potential. Inhibin B provides a biomarker of gonadal function and reproductive potential in humans and other eutherian mammals. This study examined the influence of size, sex, and time of year on inhibin B levels in manatees sampled among 3 habitats with varying degrees of environmental stress in Florida. Inhibin B levels in 38 males averaged (±SE) 4.90 ± 0.23 pg ml</span><sup>-1</sup><span>; the average level in 31 females was 5.63 ± 0.46 pg ml</span><sup>-1</sup><span>. Elevated patterns in inhibin B were exhibited between mid-March and mid-August corresponding to increased mating activity and testicular function, with significant differences in inhibin B levels between male and female manatees (p = 0.03) throughout the year. No significant differences in inhibin B were detected between low- and high-impacted sampling locations during winter, suggesting the potential influence of environmental stress on manatee reproduction may be best examined between mid-March and mid-August—the midpoint of the reproductively active, non-winter time period. Establishing temporal baselines for inhibin B values may be useful in assessing manatee reproductive status and potential conservation threats, shedding light on fertility potential, and enabling future assessment of the effects of stressors on reproduction in Florida manatees.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00972","usgsCitation":"Wetzel, D., Reynolds, J.E., Bonde, R., Schloesser, R., Schwierzke-Wade, L., and Roudebush, W., 2019, Enhancing reproductive assessments of the Florida manatee Trichechus manatus latirostris by establishing optimal time period and inhibin B baseline concentrations: Endangered Species Research, v. 39, p. 283-292, https://doi.org/10.3354/esr00972.","productDescription":"10 p.","startPage":"283","endPage":"292","ipdsId":"IP-101910","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":769892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schloesser, Ryan W","contributorId":218679,"corporation":false,"usgs":false,"family":"Schloesser","given":"Ryan W","affiliations":[{"id":39884,"text":"Mote Marine Lab","active":true,"usgs":false}],"preferred":false,"id":769897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwierzke-Wade, Leslie","contributorId":218677,"corporation":false,"usgs":false,"family":"Schwierzke-Wade","given":"Leslie","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":769895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roudebush, William E","contributorId":218678,"corporation":false,"usgs":false,"family":"Roudebush","given":"William E","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":769896,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70206869,"text":"70206869 - 2019 - Mechanisms of methane hydrate formation in geological systems","interactions":[],"lastModifiedDate":"2020-02-06T11:01:38","indexId":"70206869","displayToPublicDate":"2019-08-22T07:02:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms of methane hydrate formation in geological systems","docAbstract":"Natural gas hydrates are ice-like mixtures of gas (mostly methane) and water that are widely found in sediments along the world’s continental margins and within and beneath permafrost in a near-surface depth interval where the pressure is sufficiently high and temperature sufficiently low for gas hydrate to be stable. Beneath this interval, gas hydrate is not stable and free gas may be present. This paper reviews the multiple quantitative models that have proposed to describe the genesis of gas hydrate in geological systems. We emphasize the importance of coupling multi-phase flow (vapor and liquid) and multicomponent reactive transport with geological history to describe the dynamical processes of gas hydrate formation and evolution in geological systems. By understanding the generation and evolution of gas hydrate through time, we will better understand their role in the carbon cycle, their potential to contribute to climate change and geohazards, and how to design optimal strategies for the environmentally safe production of gas from hydrate reservoirs.","language":"English","publisher":"AGU","doi":"10.1029/2018RG000638","usgsCitation":"Kehua You, Flemings, P.B., Alberto Malinverno, Collett, T., and Darnell, K., 2019, Mechanisms of methane hydrate formation in geological systems: Reviews of Geophysics, v. 57, no. 4, p. 1146-1196, https://doi.org/10.1029/2018RG000638.","productDescription":"51 p.","startPage":"1146","endPage":"1196","ipdsId":"IP-106750","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":467350,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018rg000638","text":"Publisher Index Page"},{"id":369608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kehua You","contributorId":220889,"corporation":false,"usgs":false,"family":"Kehua You","affiliations":[{"id":29861,"text":"The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":776108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flemings, Peter B.","contributorId":220890,"corporation":false,"usgs":false,"family":"Flemings","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":29861,"text":"The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":776109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alberto Malinverno","contributorId":220891,"corporation":false,"usgs":false,"family":"Alberto Malinverno","affiliations":[{"id":40291,"text":"Lamont-Doherty Earth Observatory of Columbia University","active":true,"usgs":false}],"preferred":false,"id":776110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"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":776107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Darnell, Kristopher","contributorId":220892,"corporation":false,"usgs":false,"family":"Darnell","given":"Kristopher","email":"","affiliations":[{"id":40292,"text":"Slingshot Aerospace","active":true,"usgs":false}],"preferred":false,"id":776111,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206259,"text":"70206259 - 2019 - Carbon chemistry of intact versus chronically drained peatlands in the southeastern USA","interactions":[],"lastModifiedDate":"2019-10-28T06:54:12","indexId":"70206259","displayToPublicDate":"2019-08-22T06:53:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Carbon chemistry of intact versus chronically drained peatlands in the southeastern USA","docAbstract":"The Great Dismal Swamp (GDS) is a large temperate swamp in Virginia/North Carolina with peat soils historically resistant to microbial decomposition. However, this peatland has been subject to ~200 years of disturbance during which extensive drainage, fire suppression, and wide-spread logging have increased decomposition and dramatically decreased the distribution of Atlantic white cedar (AWC). The purpose of this study was to determine the impact of long-term drainage and AWC loss on the carbon chemistry of GDS peats. Peat cores were collected from three drained GDS vegetation communities (pocosin, AWC, and red maple-black gum) and compared to cores collected from an intact, undrained AWC peatland at the Alligator River National Wildlife Refuge (AR) in North Carolina, USA. The AR peats had higher lignin content in the deeper peat intervals, and lignin content and % organic carbon were largely invariant with depth compared to the GDS peats. The concentrations of syringyl group phenols were greater in the surface layers of GDS peats, likely reflecting the selective removal of AWC and transition from gymnosperms to angiosperms. Acid to aldehyde ratios for vanillyl and syringyl group phenols indicated that the GDS peats were more decomposed, particularly at depth, and that this occurred under aerobic conditions. Moreover, solid state 13C NMR confirmed a coincident loss of carbohydrates and increase in recalcitrant byproducts of carbohydrate degradation with depth. These data indicate that long-term drainage has accelerated the decomposition of peat at the GDS, reducing the capacity and stability of the carbon sink.","language":"English","publisher":"Wiley","doi":"10.1029/2019JG005079","usgsCitation":"Stricker, C.A., Drexler, J.Z., Thorn, K., Duberstein, J., and Rossman, S., 2019, Carbon chemistry of intact versus chronically drained peatlands in the southeastern USA: Journal of Geophysical Research: Biogeosciences, v. 124, no. 9, p. 2751-2767, https://doi.org/10.1029/2019JG005079.","productDescription":"17 p.","startPage":"2751","endPage":"2767","ipdsId":"IP-102949","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437361,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EFGR4F","text":"USGS data release","linkHelpText":"Lignin phenol data for solid phase peat cores collected from the Alligator River and Great Dismal Swamp National Wildlife 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Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorn, Kevin A. 0000-0003-2236-5193","orcid":"https://orcid.org/0000-0003-2236-5193","contributorId":220016,"corporation":false,"usgs":true,"family":"Thorn","given":"Kevin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":773960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duberstein, Jamie A.","contributorId":91007,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jamie A.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":773961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rossman, Sam","contributorId":8759,"corporation":false,"usgs":false,"family":"Rossman","given":"Sam","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":773962,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205456,"text":"70205456 - 2019 - Small ponds in headwater catchments are a dominant influence on regional nutrient and sediment budgets","interactions":[],"lastModifiedDate":"2020-09-01T13:56:45.587579","indexId":"70205456","displayToPublicDate":"2019-08-21T18:33:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Small ponds in headwater catchments are a dominant influence on regional nutrient and sediment budgets","docAbstract":"<p><span>Small ponds—farm ponds, detention ponds, or impoundments below 0.01 km</span><sup>2</sup><span>—serve important human needs throughout most large river basins. Yet the role of small ponds in regional nutrient and sediment budgets is essentially unknown, currently making it impossible to evaluate their management potential to achieve water quality objectives. Here we used new hydrography data sets and found that small ponds, depending on their spatial position within both their local catchments and the larger river network, can dominate the retention of nitrogen, phosphorus, and sediment compared to rivers, lakes, and reservoirs. Over 300,000 small ponds are collectively responsible for 34%, 69%, and 12% of the mean annual retention of nitrogen, phosphorus, and sediment in the Northeastern United States, respectively, with a dominant influence in headwater catchments (54%, 85%, and 50%, respectively). Small ponds play a critical role among the many aquatic features in long‐term nutrient and sediment loading to downstream waters.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL083937","usgsCitation":"Schmadel, N., Harvey, J., Schwarz, G., Alexander, R., Gomez-Velez, J., Scott, D., and Ator, S., 2019, Small ponds in headwater catchments are a dominant influence on regional nutrient and sediment budgets: Geophysical Research Letters, v. 46, no. 16, p. 9669-9677, https://doi.org/10.1029/2019GL083937.","productDescription":"9 p.","startPage":"9669","endPage":"9677","ipdsId":"IP-109711","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467351,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl083937","text":"Publisher Index Page"},{"id":367537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              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,{"id":70204835,"text":"ofr20191092 - 2019 - Fish and habitat assessment in Rock Creek, Klickitat County, Washington 2016–17","interactions":[],"lastModifiedDate":"2019-08-23T09:55:57","indexId":"ofr20191092","displayToPublicDate":"2019-08-21T14:48:01","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1092","displayTitle":"Fish and Habitat Assessment in Rock Creek, Klickitat County, Washington, 2016−17","title":"Fish and habitat assessment in Rock Creek, Klickitat County, Washington 2016–17","docAbstract":"<h1>Executive Summary</h1><p class=\"p1\">Intermittent streams are important and productive for salmonid habitat. Rock Creek, in southeastern Washington, flows south to the Columbia River at river kilometer (rkm) 368 and is an intermittent stream of great significance to the Yakama Nation and to the Kah-miltpah (Rock Creek) Band in particular. Historically, native steelhead (anadromous form of rainbow trout [<i>Oncorhynchus mykiss</i>]) and bridgelip sucker (<i>Catostomus columbianus</i>) populations were used by the Kah-miltpah Band for sustenance, trade, and traditional practices. Anadromous salmonid populations currently present and being monitored in the Rock Creek subbasin include Coho (<i>O. kisutch</i>) salmon and steelhead. Resident rainbow trout are also present and monitored (rainbow trout and steelhead will be collectively referred to as <i>O. mykiss </i>throughout this report). Streamflow is a limiting habitat factor in this system, but despite this, steelhead and Coho salmon still successfully return to spawn, rear, out-migrate, and survive over-summer in many of the isolated pools.</p><p class=\"p1\">We completed habitat surveys during 2015–17 to assess the perennial pools during low-flow conditions. The lower river sections (rkm 2–13) had proportionately more dry sections than the upper river sections (rkm 14–22) for all years surveyed and had higher variability among habitat types across years. The surveyed dry sections within the lower river ranged from 44 to 57 percent, with 2015 (a drought year) as the highest and 2017 the lowest. The percentage of pool habitat in the lower river was 21−24 percent, with 2015 as the lowest and 2016 and 2017 both at 24 percent. The upper river sections had a relatively high percentage of non-pool wet habitat (49−51 percent), followed by dry (33−36 percent) and pool habitat (17−18 percent). In Walaluuks Creek, the percentage of pool habitat was the most consistent across the years, ranging from 10 to 13 percent.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191092","collaboration":"Prepared in cooperation with the Yakama Nation Fisheries Program","usgsCitation":"Hardiman, J.M., and Harvey, Elaine, 2019, Fish and habitat assessment in Rock Creek, Klickitat County, Washington 2016–17: U.S. Geological Survey Open-File Report 2019-1092, 67 p., https://doi.org/10.3133/ofr20191092.","productDescription":"vi, 67 p.","onlineOnly":"Y","ipdsId":"IP-107346","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":366814,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1092/ofr20191092.pdf","text":"Report","size":"3.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1092"},{"id":366813,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1092/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Rock Creek, Walaluuks Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.87158203125,\n              45.68891423419542\n            ],\n            [\n              -120.30303955078124,\n              45.68891423419542\n            ],\n            [\n              -120.30303955078124,\n              46.01699242164089\n            ],\n            [\n              -120.87158203125,\n              46.01699242164089\n            ],\n            [\n              -120.87158203125,\n              45.68891423419542\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wfrc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wfrc\">Western Fisheries Research Center</a><br>U.S. Geological Survey<br>6505 NE 65th Street<br>Seattle, Washington 98115-5016</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Study Area</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Adaptive Management and Lessons Learned</li><li>Acknowledgments</li><li>References Cited</li><li>Appendixes 1—3</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-08-21","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":768675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Elaine","contributorId":203907,"corporation":false,"usgs":false,"family":"Harvey","given":"Elaine","email":"","affiliations":[{"id":36750,"text":"Yakama Nation Fisheries, 4 Bickleton Hwy, Goldendale, WA 98620","active":true,"usgs":false}],"preferred":false,"id":768676,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70206501,"text":"70206501 - 2019 - Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States","interactions":[],"lastModifiedDate":"2019-12-06T10:46:24","indexId":"70206501","displayToPublicDate":"2019-08-21T14:00:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States","docAbstract":"Increasing global reliance on stormwater control measures to reduce discharge to surface water, increase groundwater recharge, and minimize contaminant delivery to receiving waterbodies necessitates improved understanding of stormwater-contaminant profiles. A multi-agency study of organic and inorganic chemicals in urban stormwater from 50 runoff events at 21 sites across the United States demonstrated that stormwater transports substantial mixtures of polycyclic aromatic hydrocarbons, bioactive contaminants (pesticides and pharmaceuticals), and other organic chemicals known or suspected to pose environmental health concern. Numerous organic-chemical detections per site (median number of chemicals detected = 73), individual concentrations exceeding 10,000 ng/L, and cumulative concentrations up to 263,000 ng/L suggested concern for potential environmental effects during runoff events. Organic concentrations, loads, and yields were positively correlated with impervious surfaces and highly developed urban catchments. Episodic storm-event organic concentrations and loads were comparable to and often exceeded those of daily wastewater plant discharges. Inorganic chemical concentrations were generally dilute in concentration and did not exceed chronic aquatic life criteria. Methylmercury was measured in 90% of samples with concentrations that ranged from 0.05 to 1.0 ng/L.","language":"English","publisher":"Environmental Science and Technology","doi":"10.1021/acs.est.9b02867","usgsCitation":"Masoner, J.R., Kolpin, D., Cozzarelli, I.M., Barber, L.B., Burden, D., Foreman, W.T., Forshay, K.J., Furlong, E., Groves, J.F., Hladik, M.L., Hopton, M.E., Jaeschke, J.B., Keefe, S.H., Krabbenhoft, D., Lowrance, R., Romanok, K., Rus, D.L., Selbig, W.R., Williams, B., and Bradley, P., 2019, Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States: Environmental Science & Technology, v. 53, no. 17, p. 10070-10081, https://doi.org/10.1021/acs.est.9b02867.","productDescription":"12 p.","startPage":"10070","endPage":"10081","ipdsId":"IP-098988","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and 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Center","active":true,"usgs":true}],"preferred":true,"id":776851,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776852,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Williams, Brad 0000-0002-2827-6880 bradwilliams@usgs.gov","orcid":"https://orcid.org/0000-0002-2827-6880","contributorId":194381,"corporation":false,"usgs":true,"family":"Williams","given":"Brad","email":"bradwilliams@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":776853,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Bradley, Paul","contributorId":204643,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776854,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70128734,"text":"tm6A52 - 2019 - SUTRA, a model for saturated-unsaturated, variable-density groundwater flow with solute or energy transport—Documentation of generalized boundary conditions, a modified implementation of specified pressures and concentrations or temperatures, and the lake capability","interactions":[],"lastModifiedDate":"2019-08-23T09:31:13","indexId":"tm6A52","displayToPublicDate":"2019-08-21T13:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A52","displayTitle":"SUTRA, a Model for Saturated-Unsaturated, Variable-Density Groundwater Flow with Solute or Energy Transport—Documentation of Generalized Boundary Conditions, a Modified Implementation of Specified Pressures and Concentrations or Temperatures, and the Lake Capability","title":"SUTRA, a model for saturated-unsaturated, variable-density groundwater flow with solute or energy transport—Documentation of generalized boundary conditions, a modified implementation of specified pressures and concentrations or temperatures, and the lake capability","docAbstract":"Version 3.0 of the SUTRA groundwater modeling program offers three new capabilities: generalized boundary conditions, a modified implementation of specified pressures and concentrations or temperatures, and lakes. Two new types of “generalized” boundary conditions facilitate simulation of a wide range of hydrologic processes that interact with the groundwater model, such as rivers, drains, and evapotranspiration. For generalized-flow boundary conditions, gain (inflow) or loss (outflow) of fluid mass varies linearly with pressure, subject to optional upper and lower limits on flow and (or) pressure. For generalized-transport boundary conditions, gain or loss of solute mass or energy varies linearly with concentration or temperature, respectively. Two of the original types of SUTRA boundary conditions—specified-pressure and specified-concentration or temperature—have been modified such that user-specified, conductance-like factors (known as GNUP and GNUU in previous versions of SUTRA) are no longer required. The new lake capability works with all types of SUTRA boundary conditions, including the new generalized boundary conditions, to enable simulation of the interaction of groundwater flow and transport with lake water “ponded” on the surface of a three-dimensional model. SUTRA uses the topography of the top surface of the model, or, optionally, user-specified lake-bottom elevations, to identify potential lakes automatically. Increases and decreases in lake stage can cause lakes to coalesce and divide, respectively. The lake capability may be used with saturated or unsaturated flow and solute or energy transport.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Groundwater in Book 6 <i>Modeling Techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A52","collaboration":"Prepared in cooperation with the Strategic Environmental Research and Development Program","usgsCitation":"Provost, A.M., and Voss, C.I., 2019, SUTRA, a model for saturated-unsaturated, variable-density groundwater flow with solute or energy transport—Documentation of generalized boundary conditions, a modified implementation of specified pressures and concentrations or temperatures, and the lake capability: U.S. Geological Survey Techniques and Methods, book 6, chap. A52, 62 p., https://doi.org/10.3133/tm6A52.","productDescription":"viii, 62 p.","numberOfPages":"74","onlineOnly":"Y","ipdsId":"IP-058173","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":437362,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PPEHHM","text":"USGS data release","linkHelpText":"SUTRA 3"},{"id":364789,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a52/tm6a52.pdf","text":"Report","size":"4.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 6-A52"},{"id":364788,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/06/a52/coverthb.jpg"}],"publicComments":"This report is Chapter 52 of Section A: Groundwater in Book 6 <i>Modeling Techniques</i>","contact":"<p>Director, Earth System Processes Division<br>U.S. Geological Survey<br>Mail Stop 411<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Chapter 1. Generalized Boundary Conditions</li><li>Chapter 2. Modified Implementation of Specified Pressures and Concentrations or Temperatures</li><li>Chapter 3. Lake Capability</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. List of Symbols</li><li>Appendix 2. Flow Across a Conductive Layer</li><li>Appendix 3. Input Data List</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-08-21","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Provost, Alden M. 0000-0002-4443-1107 aprovost@usgs.gov","orcid":"https://orcid.org/0000-0002-4443-1107","contributorId":138757,"corporation":false,"usgs":true,"family":"Provost","given":"Alden","email":"aprovost@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":764514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":764515,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204923,"text":"70204923 - 2019 - Topographic changes during the 2018 Kīlauea eruption from Single-pass Airborne InSAR","interactions":[],"lastModifiedDate":"2019-10-09T09:52:19","indexId":"70204923","displayToPublicDate":"2019-08-21T11:44:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Topographic changes during the 2018 Kīlauea eruption from Single-pass Airborne InSAR","docAbstract":"<p><span>The 2018 eruption of Kīlauea volcano, Hawai‘i, was its most effusive in over 200 years. We apply the airborne Glacier and Ice Surface Topography Interferometer (GLISTIN‐A) interferometric synthetic aperture radar (InSAR) instrument to measure topographic change associated with the eruption. The GLISTIN‐A radar flew in response to the eruption, acquiring observations of Kīlauea on seven days between May 18 and September 15, 2018. Topography differences were computed relative to GLISTIN‐A observations in 2017. Bare‐earth topography and off‐shore bathymetry were used to correct for vegetation and creation of new coastal land within the Lower East Rift Zone (LERZ) lava flow field. We estimate that the LERZ subaerial flows total bulk volume is 0.593 ± 0.011 km</span><sup><strong>3</strong></sup><span>&nbsp;and that the summit collapse volume is ‐0.836 ± 0.002 km</span><sup><strong>3</strong></sup><span>. Within the temporal sampling and uncertainty from submarine flow volumes, we find that both the LERZ and caldera volume changes were approximately linear.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL083501","usgsCitation":"Lundgren, P.R., Bagnardi, M., and Dietterich, H., 2019, Topographic changes during the 2018 Kīlauea eruption from Single-pass Airborne InSAR: Geophysical Research Letters, v. 46, no. 16, p. 9554-9562, https://doi.org/10.1029/2019GL083501.","productDescription":"9 p.","startPage":"9554","endPage":"9562","ipdsId":"IP-109727","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499832,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/9809feb9307f47abbabb80b6bb69da82","text":"External Repository"},{"id":366860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.53070068359375,\n              19.189271694646738\n            ],\n            [\n              -155.0994873046875,\n              19.189271694646738\n            ],\n            [\n              -155.0994873046875,\n              19.540378338405763\n            ],\n            [\n              -155.53070068359375,\n              19.540378338405763\n            ],\n            [\n              -155.53070068359375,\n              19.189271694646738\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"16","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundgren, Paul R","contributorId":218338,"corporation":false,"usgs":false,"family":"Lundgren","given":"Paul","email":"","middleInitial":"R","affiliations":[{"id":39807,"text":"NASA Jet Propulsion Lab","active":true,"usgs":false}],"preferred":false,"id":769038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagnardi, Marco","contributorId":124560,"corporation":false,"usgs":false,"family":"Bagnardi","given":"Marco","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":769039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":769037,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204921,"text":"70204921 - 2019 - The Yellow-billed Loon","interactions":[],"lastModifiedDate":"2019-08-26T11:27:56","indexId":"70204921","displayToPublicDate":"2019-08-21T11:21:13","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":161,"text":"Birds of North America","active":false,"publicationSubtype":{"id":3}},"title":"The Yellow-billed Loon","docAbstract":"<p><span>The Yellow-billed Loon, known in Europe as the White-billed Diver, is a relatively rare bird nesting in arctic tundra regions of North America and Eurasia. This species was first described by G. R. Gray in 1859 (</span><span class=\"ToggleUp\">1</span><span>), and named (</span><i class=\"SciName notranslate\">Gavia adamsii</i><span>) after the surgeon Dr. Edward Adams (who collected the first specimen) aboard the H.M.S.&nbsp;</span><i>Enterprise</i><span>&nbsp;on a voyage through Bering Strait. The Yellow-billed Loon is closely related and similar in appearance to the&nbsp;</span>Common Loon<span>&nbsp;(</span><i class=\"SciName notranslate\">G. immer</i><span>), but distinguished from the latter by bill shape and color. Further, the Yellow-billed Loon breeds generally north of the range of its more widespread relative, although the 2 species overlap on marine wintering grounds in the Pacific Northwest. Increasingly, however, vagrant Yellow-billed Loons have been recorded wintering well inland in North America, a phenomenon that likely stems in part from improved information on field identification of loons in Basic plumage.</span></p>","language":"English","publisher":"Cornell Lab of Ornithology","doi":"10.2173/bna.yebloo.02","usgsCitation":"Uher-Koch, B.D., North, M., and Schmutz, J.A., 2019, The Yellow-billed Loon: Birds of North America, https://doi.org/10.2173/bna.yebloo.02.","onlineOnly":"Y","ipdsId":"IP-098575","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":366913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366836,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.2173/bna.yebloo.02"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":769031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"North, Mike","contributorId":218334,"corporation":false,"usgs":false,"family":"North","given":"Mike","email":"","affiliations":[{"id":33419,"text":"USFWS (retired)","active":true,"usgs":false}],"preferred":false,"id":769033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":769032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204932,"text":"70204932 - 2019 - Local, temporal trajectories explain population-level responses to climate change in saguaro (Carnegiea gigantea)","interactions":[],"lastModifiedDate":"2019-08-26T09:28:44","indexId":"70204932","displayToPublicDate":"2019-08-21T10:51:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Local, temporal trajectories explain population-level responses to climate change in saguaro (<i>Carnegiea gigantea</i>)","title":"Local, temporal trajectories explain population-level responses to climate change in saguaro (Carnegiea gigantea)","docAbstract":"<p>Population demography is typically assumed to be strongly influenced by climatic factors, particularly with succulent plants and cacti. The saguaro cactus (<i>Carnegiea gigantea</i>) is a long‐lived columnar cactus of the Sonoran Desert that experiences episodic recruitment and mortality. Previous studies have attributed long‐term changes in saguaro populations to climatic factors, including increased germination and establishment during wet periods and mortality and reduced establishment during droughts and extreme freezes. We used a 48‐yr data set of marked individuals at the Desert Laboratory in Tucson, Arizona, to test the hypothesis that local, temporal population trajectories are mediated by topographic heterogeneity that interacts with fluctuating climatic conditions. We tested the influence of local slope and aspect vs. climatic variability on a population of saguaro using &gt;5800 marked individuals that have been measured since 1964. We examined the relationship between demography and climatic variables (drought, precipitation, and extreme temperatures) and found significant differences in growth and survival among aspects and among census periods. Saguaro population growth was higher during wet and cool periods (e.g., 1964–1970), and changes in age structures suggest that topographic differences interact with climatic fluctuations to produce unexpected demographic patterns including large recruitment events during periods of relatively unfavorable climate conditions. Our results highlight the importance of long‐term data to detect demographic responses to climate that could not be predicted from short‐term studies of plant physiology and population demography.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.2844","usgsCitation":"Rodriguez-Buritica, S., Winkler, D.E., Webb, R., and Venable, L., 2019, Local, temporal trajectories explain population-level responses to climate change in saguaro (Carnegiea gigantea): Ecosphere, v. 10, no. 8, e02844, 17 p., https://doi.org/10.1002/ecs2.2844.","productDescription":"e02844, 17 p.","ipdsId":"IP-104411","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467353,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecs2.2844","text":"External Repository"},{"id":366850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70204559,"text":"ds1115 - 2019 - Catalog of earthquake parameters and description of seismograph and infrasound stations at Alaskan volcanoes—January 1, 2013, through December 31, 2017","interactions":[],"lastModifiedDate":"2019-08-21T15:23:24","indexId":"ds1115","displayToPublicDate":"2019-08-21T09:34:53","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1115","displayTitle":"Catalog of Earthquake Parameters and Description of Seismograph and Infrasound Stations at Alaskan Volcanoes—January 1, 2013, through December 31, 2017","title":"Catalog of earthquake parameters and description of seismograph and infrasound stations at Alaskan volcanoes—January 1, 2013, through December 31, 2017","docAbstract":"<div>Between January 1, 2013, and December 31, 2017, the Alaska Volcano Observatory (AVO) located a total of 28,172 earthquakes at volcanoes in Alaska. The annual totals are 3,840, 5,819, 5,297, 6,151, and 7,065 earthquakes for the years 2013 through 2017, respectively. This represents an average of 5,634 earthquakes per year, which is comparable to the yearly number of earthquakes AVO located in the previous decade when AVO monitored a similar number of volcanoes. During the reporting period, there was significant seismic activity at 20 of the 34 volcanoes monitored by a seismograph network (Akutan Peak, Aniakchak Crater, Augustine, Mount Cerberus, Mount Cleveland, Fourpeaked Mountain, Mount Gareloi, Great Sitkin, Ilimana, Kanaga, Korovin, Makushin, Mount Martin, Okmok Caldera, Pavlof, Shishaldin, Mount Spurr, Tanaga, Ugashik-Peulik, and Mount Veniaminof) and two volcanoes without a monitoring network (Mount Recheshnoi and Bogoslof Island). Instrumentation highlights for this period include the establishment of a new subnetwork on Mount Cleveland, an accelerated transition from analog to digital telemetry at most subnetworks, and an increased number of broadband and infrasound sensors throughout the AVO network. The operational highlight was the return of seismic monitoring at Korovin and Ugashik-Peulik Volcanoes following network repairs. This catalog includes hypocenters, magnitudes, and statistics of the earthquakes located in 2013–17, along with the associated station parameters, and velocity models.</div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1115","usgsCitation":"Dixon, J.P., Stihler S.D., Haney, M.M., Lyons, J.J., Ketner, D.M., Mulliken, K.M., Parker, T., and Power, J.A., 2019, Catalog of earthquake parameters and description of seismograph and infrasound stations at Alaskan volcanoes—January 1, 2013, through December 31, 2017: U.S. Geological Survey Data Series 1115, 92 p., https://doi.org/10.3133/ds1115.","productDescription":"Report: xi, 92 p.; Datasets; Metadata; Read Me","numberOfPages":"92","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099710","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science 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href=\"mailto:tlmurray@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:tlmurray@usgs.gov\">Director</a>,<br><a href=\"https://volcanoes.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://volcanoes.usgs.gov/\">Volcano Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, AK 99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Instrumentation</li><li>Data Acquisition and Processing</li><li>Seismic-Velocity Models</li><li>Seismicity</li><li>Summary</li><li>References Cited</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-08-21","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Dixon, James P. 0000-0002-8478-9971 jpdixon@usgs.gov","orcid":"https://orcid.org/0000-0002-8478-9971","contributorId":3163,"corporation":false,"usgs":true,"family":"Dixon","given":"James","email":"jpdixon@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stihler, Scott D. 0000-0002-3585-7050","orcid":"https://orcid.org/0000-0002-3585-7050","contributorId":215242,"corporation":false,"usgs":false,"family":"Stihler","given":"Scott","email":"","middleInitial":"D.","affiliations":[{"id":39214,"text":"Alaska Volcano Observatory, UAFGI.","active":true,"usgs":false}],"preferred":false,"id":767562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":767563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":767564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ketner, Dane M. 0000-0002-1610-0773","orcid":"https://orcid.org/0000-0002-1610-0773","contributorId":217809,"corporation":false,"usgs":true,"family":"Ketner","given":"Dane","email":"","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mulliken, Katherine M. 0000-0003-4190-5060","orcid":"https://orcid.org/0000-0003-4190-5060","contributorId":217810,"corporation":false,"usgs":false,"family":"Mulliken","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":767566,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parker, Thomas 0000-0002-3006-5652 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,{"id":70204870,"text":"70204870 - 2019 - A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent","interactions":[],"lastModifiedDate":"2019-08-26T09:30:13","indexId":"70204870","displayToPublicDate":"2019-08-21T09:33:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent","docAbstract":"Harmful algal blooms (HABs) have been increasing in intensity across many waterbodies worldwide, including the western basin of Lake Erie. Substantial efforts have been made to track these blooms using in situ sampling and remote sensing. However, such measurements do not fully capture HAB spatial and temporal dynamics due to the limitations of discrete shipboard sampling over large areas and the effects of clouds and winds on remote sensing estimates. To address these limitations, we develop a space-time geostatistical modeling framework to improve estimates of HAB timing, extent, and intensity using five independent sets of chlorophyll a (chl-a) data sampled from June to October, 2008 to 2017. Based on the Bayesian information criterion for model selection, trend variables explain bloom northerly and easterly expansion from Maumee Bay, wind effects over depth, and variability among sampling methods. Cross validation results indicate the model can estimate daily, location-specific chl-a concentrations with reasonable accuracy (R2 = 55%) between monitoring cruises. Conditional simulations provide probabilistic estimates of algal biomass and surface areal extent, which are compared to remote sensing estimates. The simulations also provide, for the first time, comprehensive estimates of overall bloom biomass based on depth-integrated concentrations, with quantified uncertainties. These estimates enhance our understanding of HAB variability and can inform HAB monitoring network design, predictive modeling, and management.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.133776","usgsCitation":"Fang, S., Giudice, D.D., Scavia, D., Binding, C.E., Bridgeman, T.B., Chaffin, J.D., Evans, M.A., Guinness, J., Johengen, T.H., and Obenour, D.R., 2019, A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent: Science of the Total Environment, v. 695, 133776, 12 p., https://doi.org/10.1016/j.scitotenv.2019.133776.","productDescription":"133776, 12 p.","ipdsId":"IP-107890","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467354,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.133776","text":"Publisher Index 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