{"pageNumber":"526","pageRowStart":"13125","pageSize":"25","recordCount":46670,"records":[{"id":70049028,"text":"fs20133108 - 2014 - Estimating magnitude and frequency of floods using the PeakFQ 7.0 program","interactions":[],"lastModifiedDate":"2014-05-01T14:33:56","indexId":"fs20133108","displayToPublicDate":"2014-05-01T14:14:26","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3108","title":"Estimating magnitude and frequency of floods using the PeakFQ 7.0 program","docAbstract":"

Flood-frequency analysis provides information about the magnitude and frequency of flood discharges based on records of annual maximum instantaneous peak discharges collected at streamgages. The information is essential for defining flood-hazard areas, for managing floodplains, and for designing bridges, culverts, dams, levees, and other flood-control structures.

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Bulletin 17B (B17B) of the Interagency Advisory Committee on Water Data (IACWD; 1982) codifies the standard methodology for conducting flood-frequency studies in the United States. B17B specifies that annual peak-flow data are to be fit to a log-Pearson Type III distribution. Specific methods are also prescribed for improving skew estimates using regional skew information, tests for high and low outliers, adjustments for low outliers and zero flows, and procedures for incorporating historical flood information.

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The authors of B17B identified various needs for methodological improvement and recommended additional study. In response to these needs, the Advisory Committee on Water Information (ACWI, successor to IACWD; http://acwi.gov/, Subcommittee on Hydrology (SOH), Hydrologic Frequency Analysis Work Group (HFAWG), has recommended modest changes to B17B. These changes include adoption of a generalized method-of-moments estimator denoted the Expected Moments Algorithm (EMA) (Cohn and others, 1997) and a generalized version of the Grubbs-Beck test for low outliers (Cohn and others, 2013). The SOH requested that the USGS implement these changes in a user-friendly, publicly accessible program.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133108","usgsCitation":"Veilleux, A.G., Cohn, T., Flynn, K.M., Mason, and Hummel, P.R., 2014, Estimating magnitude and frequency of floods using the PeakFQ 7.0 program: U.S. Geological Survey Fact Sheet 2013-3108, 2 p., https://doi.org/10.3133/fs20133108.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-049306","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":286834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133108.jpg"},{"id":286832,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3108/"},{"id":286833,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3108/pdf/fs2013-3108.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53635ecfe4b08180b01424fa","contributors":{"authors":[{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":486049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohn, Timothy A. tacohn@usgs.gov","contributorId":2927,"corporation":false,"usgs":true,"family":"Cohn","given":"Timothy A.","email":"tacohn@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":486048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, Kathleen M.","contributorId":43756,"corporation":false,"usgs":true,"family":"Flynn","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":486047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hummel, Paul R.","contributorId":58728,"corporation":false,"usgs":true,"family":"Hummel","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":486051,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70134285,"text":"70134285 - 2014 - Multi-trophic resilience of boreal lake ecosystems to forest fires","interactions":[],"lastModifiedDate":"2020-12-23T15:48:43.593475","indexId":"70134285","displayToPublicDate":"2014-05-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Multi-trophic resilience of boreal lake ecosystems to forest fires","docAbstract":"

Fires are the major natural disturbance in the boreal forest, and their frequency and intensity will likely increase as the climate warms. Terrestrial nutrients released by fires may be transported to boreal lakes, stimulating increased primary productivity, which may radiate through multiple trophic levels. Using a before‐after‐control‐impact (BACI) design, with pre‐ and postfire data from burned and unburned areas, we examined effects of a natural fire across several trophic levels of boreal lakes, from nutrient and chlorophyll levels, to macroinvertebrates, to waterbirds. Concentrations of total nitrogen and phosphorus were not affected by the fire. Chlorophyll a levels were also unaffected, likely reflecting the stable nutrient concentrations. For aquatic invertebrates, we found that densities of three functional feeding groups did not respond to the fire (filterers, gatherers, scrapers), while two groups increased (shredders, predators). Amphipods accounted for 98% of shredder numbers, and we hypothesize that fire‐mediated habitat changes may have favored their generalist feeding and habitat ecology. This increase in amphipods may, in turn, have driven increased predator densities, as amphipods were the most numerous invertebrate in our lakes and are commonly taken as prey. Finally, abundance of waterbird young, which feed primarily on aquatic invertebrates, was not affected by the fire. Overall, ecosystems of our study lakes were largely resilient to forest fires, likely due to their high initial nutrient concentrations and small catchment sizes. Moreover, this resilience spanned multiple trophic levels, a significant result for ecologically similar boreal regions, especially given the high potential for increased fires with future climate change.

","language":"English","publisher":"Brooklyn Botanical Garden","publisherLocation":"Brooklyn, NY","doi":"10.1890/13-1170.1","usgsCitation":"Lewis, T., Lindberg, M., Schmutz, J.A., and Bertram, M., 2014, Multi-trophic resilience of boreal lake ecosystems to forest fires: Ecology, v. 95, no. 5, p. 1253-1263, https://doi.org/10.1890/13-1170.1.","productDescription":"11 p.","startPage":"1253","endPage":"1263","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051760","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":473011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/13-1170.1","text":"Publisher Index Page"},{"id":296376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.337158203125,\n 65.96885156164706\n ],\n [\n -145.8984375,\n 65.96885156164706\n ],\n [\n -145.8984375,\n 67.35255537048229\n ],\n [\n -149.337158203125,\n 67.35255537048229\n ],\n [\n -149.337158203125,\n 65.96885156164706\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"95","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ee2cde4b09357f05f8a63","contributors":{"authors":[{"text":"Lewis, Tyler L.","contributorId":22904,"corporation":false,"usgs":false,"family":"Lewis","given":"Tyler L.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":526086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindberg, Mark S.","contributorId":89466,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526087,"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":525788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bertram, M.R.","contributorId":77387,"corporation":false,"usgs":true,"family":"Bertram","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":526088,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70122794,"text":"70122794 - 2014 - USGS US topo maps for Alaska","interactions":[],"lastModifiedDate":"2020-12-30T14:56:09.812417","indexId":"70122794","displayToPublicDate":"2014-05-01T11:54:20","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3539,"text":"The Alaska Miner","active":true,"publicationSubtype":{"id":10}},"title":"USGS US topo maps for Alaska","docAbstract":"

In July 2013, the USGS National Geospatial Program began producing new topographic maps for Alaska, providing a new map series for the state known as US Topo. Prior to the start of US Topo map production in Alaska, the most detailed statewide USGS topographic maps were 15-minute 1:63,360-scale maps, with their original production often dating back nearly fifty years. The new 7.5-minute digital maps are created at 1:25,000 map scale, and show greatly increased topographic detail when compared to the older maps. The map scale and data specifications were selected based on significant outreach to various map user groups in Alaska.

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This multi-year mapping initiative will vastly enhance the base topographic maps for Alaska and is possible because of improvements to key digital map datasets in the state. The new maps and data are beneficial in high priority applications such as safety, planning, research and resource management. New mapping will support science applications throughout the state and provide updated maps for parks, recreation lands and villages.

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Becci","contributorId":9974,"corporation":false,"usgs":true,"family":"Anderson","given":"Becci","email":"","affiliations":[],"preferred":false,"id":499692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Tracy tfuller@usgs.gov","contributorId":3495,"corporation":false,"usgs":true,"family":"Fuller","given":"Tracy","email":"tfuller@usgs.gov","affiliations":[],"preferred":true,"id":499691,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70103374,"text":"70103374 - 2014 - The digital global geologic map of Mars: Chronostratigraphic ages, topographic and crater morphologic characteristics, and updated resurfacing history","interactions":[],"lastModifiedDate":"2019-12-10T12:39:00","indexId":"70103374","displayToPublicDate":"2014-05-01T11:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3083,"text":"Planetary and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"The digital global geologic map of Mars: Chronostratigraphic ages, topographic and crater morphologic characteristics, and updated resurfacing history","docAbstract":"A new global geologic map of Mars has been completed in a digital, geographic information system (GIS) format using geospatially controlled altimetry and image data sets. The map reconstructs the geologic history of Mars, which includes many new findings collated in the quarter century since the previous, Viking-based global maps were published, as well as other discoveries that were made during the course of the mapping using new data sets. The technical approach enabled consistent and regulated mapping that is appropriate not only for the map's 1:20,000,000 scale but also for its widespread use by diverse audiences. Each geologic unit outcrop includes basic attributes regarding identity, location, area, crater densities, and chronostratigraphic age. In turn, units are grouped by geographic and lithologic types, which provide synoptic global views of material ages and resurfacing character for the Noachian, Hesperian, and Amazonian periods. As a consequence of more precise and better quality topographic and morphologic data and more complete crater-density dating, our statistical comparisons identify significant refinements for how Martian geologic terrains are characterized. Unit groups show trends in mean elevation and slope that relate to geographic occurrence and geologic origin. In comparison with the previous global geologic map series based on Viking data, the new mapping consists of half the number of units due to simpler, more conservative and globally based approaches to discriminating units. In particular, Noachian highland surfaces overall have high percentages of their areas now dated as an epoch older than in the Viking mapping. Minimally eroded (i.e., pristine) impact craters ≥3 km in diameter occur in greater proportion on Hesperian surfaces. This observation contrasts with a deficit of similarly sized craters on heavily cratered and otherwise degraded Noachian terrain as well as on young Amazonian surfaces. We interpret these as reflecting the relatively stronger, lava-rich, yet less-impacted materials making up much of the younger units. Reconstructions of resurfacing of Mars by its eight geologic epochs using the Hartmann and Neukum chronology models indicate high rates of highland resurfacing during the Noachian (peaking at 0.3 km2/yr during the Middle Noachian), modest rates of volcanism and transition zone and lowland resurfacing during the Hesperian (∼0.1 km2/yr), and low rates of mainly volcanic and polar resurfacing (∼0.01 km2/yr) for most of the Amazonian. Apparent resurfacing increased in the Late Amazonian (∼0.03 km2/yr), perhaps due to better preservation of this latest record.","language":"English","publisher":"Elsevier","doi":"10.1016/j.pss.2013.03.006","usgsCitation":"Tanaka, K.L., Robbins, S., Fortezzo, C.M., Skinner, J., and Hare, T.M., 2014, The digital global geologic map of Mars: Chronostratigraphic ages, topographic and crater morphologic characteristics, and updated resurfacing history: Planetary and Space Science, v. 95, p. 11-24, https://doi.org/10.1016/j.pss.2013.03.006.","productDescription":"14 p.","startPage":"11","endPage":"24","numberOfPages":"14","ipdsId":"IP-040880","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":286845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"95","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5365918de4b05b5c4c6db169","contributors":{"authors":[{"text":"Tanaka, Kenneth L. ktanaka@usgs.gov","contributorId":610,"corporation":false,"usgs":true,"family":"Tanaka","given":"Kenneth","email":"ktanaka@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":777040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robbins, S.J.","contributorId":44835,"corporation":false,"usgs":true,"family":"Robbins","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":493283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fortezzo, Corey M. 0000-0001-8188-5530 cfortezzo@usgs.gov","orcid":"https://orcid.org/0000-0001-8188-5530","contributorId":3185,"corporation":false,"usgs":true,"family":"Fortezzo","given":"Corey","email":"cfortezzo@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":777041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skinner, J.A. Jr.","contributorId":80395,"corporation":false,"usgs":true,"family":"Skinner","given":"J.A.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":493284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":777042,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70136301,"text":"70136301 - 2014 - Identifying stakeholder-relevant climate change impacts: a case study in the Yakima River Basin, Washington, USA","interactions":[],"lastModifiedDate":"2014-12-30T10:49:40","indexId":"70136301","displayToPublicDate":"2014-05-01T11:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Identifying stakeholder-relevant climate change impacts: a case study in the Yakima River Basin, Washington, USA","docAbstract":"

Designing climate-related research so that study results will be useful to natural resource managers is a unique challenge. While decision makers increasingly recognize the need to consider climate change in their resource management plans, and climate scientists recognize the importance of providing locally-relevant climate data and projections, there often remains a gap between management needs and the information that is available or is being collected. We used decision analysis concepts to bring decision-maker and stakeholder perspectives into the applied research planning process. In 2009 we initiated a series of studies on the impacts of climate change in the Yakima River Basin (YRB) with a four-day stakeholder workshop, bringing together managers, stakeholders, and scientists to develop an integrated conceptual model of climate change and climate change impacts in the YRB. The conceptual model development highlighted areas of uncertainty that limit the understanding of the potential impacts of climate change and decision alternatives by those who will be most directly affected by those changes, and pointed to areas where additional study and engagement of stakeholders would be beneficial. The workshop and resulting conceptual model highlighted the importance of numerous different outcomes to stakeholders in the basin, including social and economic outcomes that go beyond the physical and biological outcomes typically reported in climate impacts studies. Subsequent studies addressed several of those areas of uncertainty, including changes in water temperatures, habitat quality, and bioenergetics of salmonid populations.

","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10584-013-0806-4","usgsCitation":"Jenni, K., Graves, D., Hardiman, J.M., Hatten, J.R., Mastin, M.C., Mesa, M.G., Montag, J., Nieman, T., Voss, F.D., and Maule, A.G., 2014, Identifying stakeholder-relevant climate change impacts: a case study in the Yakima River Basin, Washington, USA: Climatic Change, v. 124, no. 1-2, p. 371-384, https://doi.org/10.1007/s10584-013-0806-4.","productDescription":"14 p.","startPage":"371","endPage":"384","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037460","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473015,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10.1007/s10584-013-0806-4","text":"External Repository"},{"id":296924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296907,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs10584-013-0806-4"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima River Basin","volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2013-06-20","publicationStatus":"PW","scienceBaseUri":"54dd2bcee4b08de9379b34e6","contributors":{"authors":[{"text":"Jenni, K.","contributorId":131113,"corporation":false,"usgs":false,"family":"Jenni","given":"K.","email":"","affiliations":[{"id":7250,"text":"Insight Decisions LCC, 2200 Quitman Street, Denver, CO 80212","active":true,"usgs":false}],"preferred":false,"id":537318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, D.","contributorId":15393,"corporation":false,"usgs":true,"family":"Graves","given":"D.","email":"","affiliations":[],"preferred":false,"id":537316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":537310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":537311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537313,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mesa, Matthew G. mmesa@usgs.gov","contributorId":3423,"corporation":false,"usgs":true,"family":"Mesa","given":"Matthew","email":"mmesa@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":537314,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Montag, J.","contributorId":10124,"corporation":false,"usgs":true,"family":"Montag","given":"J.","affiliations":[],"preferred":false,"id":537315,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nieman, Timothy","contributorId":91965,"corporation":false,"usgs":true,"family":"Nieman","given":"Timothy","affiliations":[],"preferred":false,"id":537317,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Voss, Frank D. fdvoss@usgs.gov","contributorId":1651,"corporation":false,"usgs":true,"family":"Voss","given":"Frank","email":"fdvoss@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537309,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maule, Alec G. amaule@usgs.gov","contributorId":2606,"corporation":false,"usgs":true,"family":"Maule","given":"Alec","email":"amaule@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":537308,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70122360,"text":"70122360 - 2014 - Wind River subbasin restoration: U.S. Geological Survey annual report November 2012 through December 2013","interactions":[],"lastModifiedDate":"2016-04-26T16:06:44","indexId":"70122360","displayToPublicDate":"2014-05-01T10:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"1998-019-00","title":"Wind River subbasin restoration: U.S. Geological Survey annual report November 2012 through December 2013","docAbstract":"

Executive Summary

\n

The Wind River subbasin in southwest Washington State provides habitat for a population of wild Lower Columbia River steelhead Oncorhynchus mykiss. There have been no hatchery steelhead planted in the Wind River subbasin since 1994, and hatchery adults are estimated to be less than one percent of adults in any year (pers comm. Thomas Buehrens, Washington Department of Fish and Wilflife). We used Passive Integrated Transponder (PIT)-tagging and a series of instream PIT-tag interrogation systems (PTIS) to investigate life-histories, populations, and efficacy of habitat restoration actions for these steelhead. Data from our study, and companion work by Washington Department of Fish and Wildlife (WDFW), will contribute to Bonneville Power Administration’s (BPA) Research Monitoring and Evaluation (RM&E) Program Strategy of Fish Population Status Monitoring (www.cbfish.org/ProgramStrategy.mvc/ViewProgramStrategySummary/1), specifically the sub-strategies of: 1) Assessing the Status and Trends of Diversity of Natural Origin Fish Populations and to uncertainties research regarding differing life histories of a wild steelhead population, 2) Assessing the Status and Trend of Adult Natural Origin Fish Populations, and 3) Monitoring and Evaluating the Effectiveness of Tributary Habitat Actions Relative to Environmental, Physical, or Biological Performance Objectives.

\n

During summer 2013, we PIT-tagged parr steelhead in headwater areas of the Wind River subbasin to investigate variable life-histories, specifically to compare fate of those juvenile steelhead that move downstream prior to smolting with those that remain in their natal areas until smolting. A series of instream PTISs monitored movement of these fish. Detections at the instream PTISs showed trends of parr emigration during summer and fall, in addition to the expected movement of parr and smolts in spring. Long-term monitoring of PIT-tagged fish over multiple years will provide information on contribution of various life-history strategies to smolt production and adult returns, as well as helping to identify factors influencing parr movement.

\n

Movements of PIT-tagged adult steelhead were tracked with our instream PTISs. These data have provided information on timing of adult movements to various parts of the watershed, which is allowing us to assess adult returns to tributary watersheds within the Wind River subbasin. Determination of adult use of tributary watersheds has provided data that will contribute to evaluating the efficacy of the removal of Hemlock Dam from Trout Creek. Hemlock Dam, located at rkm 2.0 of Trout Creek was removed in summer 2009 and had contributed to hydrologic impairment of Trout Creek.

\n

Evaluating restoration efforts is of interest to many managers and agencies so that funding and time are allocated for best results. The evaluation of various life-histories of Lower Columbia River steelhead within the Wind River subbasin will provide information to better track populations, and to direct habitat restoration and water allocation planning. Increasingly detailed Viable Salmonid Population information, such as that provided by PIT-tagging and instream PTISs networks like those we are building and operating in the Wind River subbasin, will provide data to inform policy and management, as life-history strategies and production bottlenecks are identified and understood.

","language":"English","publisher":"Bonneville Power Administration","collaboration":"This report was funded by the Bonneville Power Administration (BPA), U.S. Department of Energy, as part of BPA's program to protect, mitigate, and enhance fish and wildlife affected by the development and operation of hydroelectric facilities on the Columbia River and its tributaries.","usgsCitation":"Jezorek, I.G., and Connolly, P., 2014, Wind River subbasin restoration: U.S. Geological Survey annual report November 2012 through December 2013, 45 p.","productDescription":"45 p.","numberOfPages":"45","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2012-11-01","temporalEnd":"2013-12-31","ipdsId":"IP-055076","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":294309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320575,"type":{"id":11,"text":"Document"},"url":"https://pisces.bpa.gov/release/documents/documentviewer.aspx?doc=P138064","text":"Report","size":"715.13 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.963568,45.751448 ], [ -121.963568,45.969903 ], [ -121.787086,45.969903 ], [ -121.787086,45.751448 ], [ -121.963568,45.751448 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb3ce4b08312ac7cf131","contributors":{"authors":[{"text":"Jezorek, Ian G. 0000-0002-3842-3485 ijezorek@usgs.gov","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":3572,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","email":"ijezorek@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499497,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70112455,"text":"70112455 - 2014 - Looking for age-related growth decline in natural forests: unexpected biomass patterns from tree rings and simulated mortality","interactions":[],"lastModifiedDate":"2014-06-16T10:45:11","indexId":"70112455","displayToPublicDate":"2014-05-01T10:40:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Looking for age-related growth decline in natural forests: unexpected biomass patterns from tree rings and simulated mortality","docAbstract":"Forest biomass growth is almost universally assumed to peak early in stand development, near canopy closure, after which it will plateau or decline. The chronosequence and plot remeasurement approaches used to establish the decline pattern suffer from limitations and coarse temporal detail. We combined annual tree ring measurements and mortality models to address two questions: first, how do assumptions about tree growth and mortality influence reconstructions of biomass growth? Second, under what circumstances does biomass production follow the model that peaks early, then declines? We integrated three stochastic mortality models with a census tree-ring data set from eight temperate forest types to reconstruct stand-level biomass increments (in Minnesota, USA). We compared growth patterns among mortality models, forest types and stands. Timing of peak biomass growth varied significantly among mortality models, peaking 20–30 years earlier when mortality was random with respect to tree growth and size, than when mortality favored slow-growing individuals. Random or u-shaped mortality (highest in small or large trees) produced peak growth 25–30 % higher than the surviving tree sample alone. Growth trends for even-aged, monospecific Pinus banksiana or Acer saccharum forests were similar to the early peak and decline expectation. However, we observed continually increasing biomass growth in older, low-productivity forests of Quercus rubra, Fraxinus nigra, and Thuja occidentalis. Tree-ring reconstructions estimated annual changes in live biomass growth and identified more diverse development patterns than previous methods. These detailed, long-term patterns of biomass development are crucial for detecting recent growth responses to global change and modeling future forest dynamics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oecologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00442-014-2881-2","usgsCitation":"Foster, J.R., D’Amato, A.W., and Bradford, J.B., 2014, Looking for age-related growth decline in natural forests: unexpected biomass patterns from tree rings and simulated mortality: Oecologia, v. 175, no. 1, p. 363-374, https://doi.org/10.1007/s00442-014-2881-2.","productDescription":"12 p.","startPage":"363","endPage":"374","numberOfPages":"12","ipdsId":"IP-042931","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":288623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288611,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00442-014-2881-2"}],"country":"United States","state":"Minnesota","otherGeospatial":"Superior National Forest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.0,44.0 ], [ -96.0,50.0 ], [ -87.0,50.0 ], [ -87.0,44.0 ], [ -96.0,44.0 ] ] ] } } ] }","volume":"175","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-18","publicationStatus":"PW","scienceBaseUri":"53ae776ce4b0abf75cf2c11e","contributors":{"authors":[{"text":"Foster, Jane R.","contributorId":27792,"corporation":false,"usgs":true,"family":"Foster","given":"Jane","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":494744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false},{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false}],"preferred":false,"id":494745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":494743,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70141793,"text":"70141793 - 2014 - Eel River margin source-to-sink sediment budgets: revisited","interactions":[],"lastModifiedDate":"2015-08-20T13:32:09","indexId":"70141793","displayToPublicDate":"2014-05-01T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Eel River margin source-to-sink sediment budgets: revisited","docAbstract":"

The Eel River coastal margin has been used as a representative source-to-sink sediment dispersal system owing to its steep, high-sediment yield river and the formation of sedimentary strata on its continental shelf. One finding of previous studies is that the adjacent continental shelf retains only ~25% of the Eel River fine-grained sediment (less than 63 μm) discharged over time scales of both individual floods and the 20th century, thus suggesting that the Eel shelf trapping-efficiency is uniquely lower than other similar systems. Here I provide data and analyses showing that sediment discharge relationships in the Eel River have varied strongly with time and include substantial decreases in suspended-sediment concentrations during the latter 20th century. Including these trends in margin-wide sediment budgets, I show that previous Eel River sediment discharge rates were overestimated by a factor of two. Thus, revised sediment budgets shown here reveal that the Eel shelf retained ~50% of the discharged river fine-grained suspended sediment during intensively sampled events of 1995–97 and over the 20th century. In light of this, hypotheses about high rates of sediment export away from the primary shelf depocenter should be reevaluated.

","language":"English","publisher":"Elsevier Scientific Pub. Co.","publisherLocation":"Amsterdam","doi":"10.1016/j.margeo.2014.03.008","usgsCitation":"Warrick, J., 2014, Eel River margin source-to-sink sediment budgets: revisited: Marine Geology, v. 351, p. 25-37, https://doi.org/10.1016/j.margeo.2014.03.008.","productDescription":"13 p.","startPage":"25","endPage":"37","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052462","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473016,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2014.03.008","text":"Publisher Index Page"},{"id":298086,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Eel River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.30755615234375,\n 40.6639728763869\n ],\n [\n -124.1510009765625,\n 40.617079816381285\n ],\n [\n -124.13177490234375,\n 40.52423878069866\n ],\n [\n -124.07821655273436,\n 40.509622849596695\n ],\n [\n -124.07409667968749,\n 40.48247052458949\n ],\n [\n -123.97384643554688,\n 40.46680072360456\n ],\n [\n -123.91891479492186,\n 40.42917828232078\n ],\n [\n -123.75411987304688,\n 40.324561023141236\n ],\n [\n -123.63327026367188,\n 40.233411907115055\n ],\n [\n -123.63327026367188,\n 40.175725518346916\n ],\n [\n -123.77883911132811,\n 40.2973339321302\n ],\n [\n -123.92166137695311,\n 40.32560799973207\n ],\n [\n -123.95599365234375,\n 40.395718433470364\n ],\n [\n -124.11392211914062,\n 40.452172276813535\n ],\n [\n -124.17022705078124,\n 40.50544628405211\n ],\n [\n -124.17709350585938,\n 40.575369444618396\n ],\n [\n -124.32678222656249,\n 40.63167229840464\n ],\n [\n -124.30755615234375,\n 40.6639728763869\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"351","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54ec5d40e4b02d776a67daa5","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":139314,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":541096,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70114857,"text":"70114857 - 2014 - Estimating migratory connectivity of birds when re-encounter probabilities are heterogeneous","interactions":[],"lastModifiedDate":"2014-06-27T09:53:59","indexId":"70114857","displayToPublicDate":"2014-05-01T09:50:00","publicationYear":"2014","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":"Estimating migratory connectivity of birds when re-encounter probabilities are heterogeneous","docAbstract":"Understanding the biology and conducting effective conservation of migratory species requires an understanding of migratory connectivity – the geographic linkages of populations between stages of the annual cycle. Unfortunately, for most species, we are lacking such information. The North American Bird Banding Laboratory (BBL) houses an extensive database of marking, recaptures and recoveries, and such data could provide migratory connectivity information for many species. To date, however, few species have been analyzed for migratory connectivity largely because heterogeneous re-encounter probabilities make interpretation problematic. We accounted for regional variation in re-encounter probabilities by borrowing information across species and by using effort covariates on recapture and recovery probabilities in a multistate capture–recapture and recovery model. The effort covariates were derived from recaptures and recoveries of species within the same regions. We estimated the migratory connectivity for three tern species breeding in North America and over-wintering in the tropics, common (Sterna hirundo), roseate (Sterna dougallii), and Caspian terns (Hydroprogne caspia). For western breeding terns, model-derived estimates of migratory connectivity differed considerably from those derived directly from the proportions of re-encounters. Conversely, for eastern breeding terns, estimates were merely refined by the inclusion of re-encounter probabilities. In general, eastern breeding terns were strongly connected to eastern South America, and western breeding terns were strongly linked to the more western parts of the nonbreeding range under both models. Through simulation, we found this approach is likely useful for many species in the BBL database, although precision improved with higher re-encounter probabilities and stronger migratory connectivity. We describe an approach to deal with the inherent biases in BBL banding and re-encounter data to demonstrate that this large dataset is a valuable source of information about the migratory connectivity of the birds of North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/ece3.1059","usgsCitation":"Cohen, E.B., Hostelter, J.A., Royle, J., and Marra, P., 2014, Estimating migratory connectivity of birds when re-encounter probabilities are heterogeneous: Ecology and Evolution, v. 4, no. 9, p. 1659-1670, https://doi.org/10.1002/ece3.1059.","productDescription":"12 p.","startPage":"1659","endPage":"1670","numberOfPages":"12","ipdsId":"IP-055630","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473019,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1059","text":"Publisher Index Page"},{"id":289123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289116,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ece3.1059"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 177.1,5.6 ], [ 177.1,85.4 ], [ -4.0,85.4 ], [ -4.0,5.6 ], [ 177.1,5.6 ] ] ] } } ] }","volume":"4","issue":"9","noUsgsAuthors":false,"publicationDate":"2014-04-08","publicationStatus":"PW","scienceBaseUri":"53ae76a9e4b0abf75cf2bfd4","contributors":{"authors":[{"text":"Cohen, Emily B.","contributorId":57774,"corporation":false,"usgs":false,"family":"Cohen","given":"Emily","email":"","middleInitial":"B.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":495408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostelter, Jeffrey A.","contributorId":66177,"corporation":false,"usgs":true,"family":"Hostelter","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":495410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marra, Peter P.","contributorId":108030,"corporation":false,"usgs":true,"family":"Marra","given":"Peter P.","affiliations":[],"preferred":false,"id":495411,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70145459,"text":"70145459 - 2014 - Model behavior and sensitivity in an application of the cohesive bed component of the community sediment transport modeling system for the York River estuary, VA, USA","interactions":[],"lastModifiedDate":"2015-04-07T09:11:24","indexId":"70145459","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Model behavior and sensitivity in an application of the cohesive bed component of the community sediment transport modeling system for the York River estuary, VA, USA","docAbstract":"

The Community Sediment Transport Modeling System (CSTMS) cohesive bed sub-model that accounts for erosion, deposition, consolidation, and swelling was implemented in a three-dimensional domain to represent the York River estuary, Virginia. The objectives of this paper are to (1) describe the application of the three-dimensional hydrodynamic York Cohesive Bed Model, (2) compare calculations to observations, and (3) investigate sensitivities of the cohesive bed sub-model to user-defined parameters. Model results for summer 2007 showed good agreement with tidal-phase averaged estimates of sediment concentration, bed stress, and current velocity derived from Acoustic Doppler Velocimeter (ADV) field measurements. An important step in implementing the cohesive bed model was specification of both the initial and equilibrium critical shear stress profiles, in addition to choosing other parameters like the consolidation and swelling timescales. This model promises to be a useful tool for investigating the fundamental controls on bed erodibility and settling velocity in the York River, a classical muddy estuary, provided that appropriate data exists to inform the choice of model parameters.

","language":"English","publisher":"MDPI","doi":"10.3390/jmse2020413","usgsCitation":"Fall, K.A., Harris, C.K., Friedrichs, C.T., Rinehimer, J.P., and Sherwood, C.R., 2014, Model behavior and sensitivity in an application of the cohesive bed component of the community sediment transport modeling system for the York River estuary, VA, USA: Journal of Marine Science and Engineering, v. 2, no. 2, p. 413-436, https://doi.org/10.3390/jmse2020413.","productDescription":"24 p.","startPage":"413","endPage":"436","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055223","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse2020413","text":"Publisher Index Page"},{"id":299434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"York River estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.20367431640625,\n 36.758690821098426\n ],\n [\n -77.20367431640625,\n 37.572882155556194\n ],\n [\n -75.87432861328125,\n 37.572882155556194\n ],\n [\n -75.87432861328125,\n 36.758690821098426\n ],\n [\n -77.20367431640625,\n 36.758690821098426\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-14","publicationStatus":"PW","scienceBaseUri":"5524ffaee4b027f0aee3d477","contributors":{"authors":[{"text":"Fall, Kelsey A.","contributorId":140080,"corporation":false,"usgs":false,"family":"Fall","given":"Kelsey","email":"","middleInitial":"A.","affiliations":[{"id":13380,"text":"Virginia Institute of Marine Science, College of William and Mary, Gloucester Point, VA 23062","active":true,"usgs":false}],"preferred":false,"id":544181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Courtney K.","contributorId":19620,"corporation":false,"usgs":false,"family":"Harris","given":"Courtney","email":"","middleInitial":"K.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":544182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedrichs, Carl T.","contributorId":43989,"corporation":false,"usgs":false,"family":"Friedrichs","given":"Carl","email":"","middleInitial":"T.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":544183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rinehimer, J. Paul","contributorId":140081,"corporation":false,"usgs":false,"family":"Rinehimer","given":"J.","email":"","middleInitial":"Paul","affiliations":[{"id":13381,"text":"Center for Coastal Margin Observation & Prediction, Oregon Health and Sciences University, Portland, OR, 97239","active":true,"usgs":false}],"preferred":false,"id":544184,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544180,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70144616,"text":"70144616 - 2014 - El Niño-Southern Oscillation is linked to decreased energetic condition in long-distance migrants","interactions":[],"lastModifiedDate":"2018-01-04T12:50:48","indexId":"70144616","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"El Niño-Southern Oscillation is linked to decreased energetic condition in long-distance migrants","docAbstract":"

Predicting how migratory animals respond to changing climatic conditions requires knowledge of how climatic events affect each phase of the annual cycle and how those effects carry-over to subsequent phases. We utilized a 17-year migration dataset to examine how El Niño-Southern Oscillation climatic events in geographically different regions of the Western hemisphere carry-over to impact the stopover biology of several intercontinental migratory bird species. We found that migratory birds that over-wintered in South America experienced significantly drier environments during El Niño years, as reflected by reduced Normalized Difference Vegetation Index (NDVI) values, and arrived at stopover sites in reduced energetic condition during spring migration. During El Niño years migrants were also more likely to stopover immediately along the northern Gulf coast of the southeastern U.S. after crossing the Gulf of Mexico in small suboptimal forest patches where food resources are lower and migrant density often greater than larger more contiguous forests further inland. In contrast, NDVI values did not differ between El Niño and La Niña years in Caribbean-Central America, and we found no difference in energetic condition or use of coastal habitats for migrants en route from Caribbean-Central America wintering areas. Birds over-wintering in both regions had consistent median arrival dates along the northern Gulf coast, suggesting that there is a strong drive for birds to maintain their time program regardless of their overall condition. We provide strong evidence that not only is the stopover biology of migratory landbirds influenced by events during the previous phase of their life-cycle, but where migratory birds over-winter determines how vulnerable they are to global climatic cycles. Increased frequency and intensity of ENSO events over the coming decades, as predicted by climatic models, may disproportionately influence long-distance migrants over-wintering in South America.

","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0095383","usgsCitation":"Paxton, K.L., Cohen, E.B., Paxton, E., Nemeth, Z., and Moore, F.R., 2014, El Niño-Southern Oscillation is linked to decreased energetic condition in long-distance migrants: PLoS ONE, v. 9, no. 5, e95383; 11 p., https://doi.org/10.1371/journal.pone.0095383.","productDescription":"e95383; 11 p.","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056768","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":473029,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0095383","text":"Publisher Index Page"},{"id":299192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-02","publicationStatus":"PW","scienceBaseUri":"551bc52ae4b0323842783a43","contributors":{"authors":[{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":543753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Emily B.","contributorId":57774,"corporation":false,"usgs":false,"family":"Cohen","given":"Emily","email":"","middleInitial":"B.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":543754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":543752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nemeth, Zoltan","contributorId":140015,"corporation":false,"usgs":false,"family":"Nemeth","given":"Zoltan","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":543756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Frank R.","contributorId":54582,"corporation":false,"usgs":false,"family":"Moore","given":"Frank","email":"","middleInitial":"R.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":543755,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188045,"text":"70188045 - 2014 - Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture","interactions":[],"lastModifiedDate":"2018-12-07T14:42:44","indexId":"70188045","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":679,"text":"Agricultural Systems","active":true,"publicationSubtype":{"id":10}},"title":"Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture","docAbstract":"

Over 22 million hectares (ha) of U.S. croplands are irrigated. Irrigation is an intensified agricultural land use that increases crop yields and the practice affects water and energy cycles at, above, and below the land surface. Until recently, there has been a scarcity of geospatially detailed information about irrigation that is comprehensive, consistent, and timely to support studies tying agricultural land use change to aquifer water use and other factors. This study shows evidence for a recent overall net expansion of 522 thousand ha across the U.S. (2.33%) and 519 thousand ha (8.7%) in irrigated cropped area across the High Plains Aquifer (HPA) from 2002 to 2007. In fact, over 97% of the net national expansion in irrigated agriculture overlays the HPA. We employed a modeling approach implemented at two time intervals (2002 and 2007) for mapping irrigated agriculture across the conterminous U.S. (CONUS). We utilized U.S. Department of Agriculture (USDA) county statistics, satellite imagery, and a national land cover map in the model. The model output, called the Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the U.S. (MIrAD-US), was then used to reveal relatively detailed spatial patterns of irrigation change across the nation and the HPA. Causes for the irrigation increase in the HPA are complex, but factors include crop commodity price increases, the corn ethanol industry, and government policies related to water use. Impacts of more irrigation may include shifts in local and regional climate, further groundwater depletion, and increasing crop yields and farm income.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.agsy.2014.01.004","usgsCitation":"Brown, J.F., and Pervez, M., 2014, Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture: Agricultural Systems, v. 127, p. 28-40, https://doi.org/10.1016/j.agsy.2014.01.004.","productDescription":"13 p.","startPage":"28","endPage":"40","ipdsId":"IP-039516","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84c4e4b092b266f10d8b","contributors":{"authors":[{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 spervez@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":3099,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"spervez@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696310,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187363,"text":"70187363 - 2014 - Using cumulative diet data and stable isotope analysis to determine trophic position of walleye Sander vitreus in a large, complex system","interactions":[],"lastModifiedDate":"2017-05-01T10:12:20","indexId":"70187363","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using cumulative diet data and stable isotope analysis to determine trophic position of walleye Sander vitreus in a large, complex system","docAbstract":"

Diet studies have traditionally been used to determine prey use and food web dynamics, while stable isotope analysis provides for a time-integrated approach to evaluate food web dynamics and characterize energy flow in aquatic systems. Direct comparison of the two techniques is rare and difficult to conduct in large, species rich systems. We compared changes in walleye Sander vitreus trophic position (TP) derived from paired diet content and stable isotope analysis. Individual diet-derived TP estimates were dissimilar to stable isotope-derived TP estimates. However, cumulative diet-derived TP estimates integrated from May 2001 to May 2002 corresponded to May 2002 isotope-derived estimates of TP. Average walleye TP estimates from the spring season appear representative of feeding throughout the entire previous year.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2014.910713","usgsCitation":"Fincel, M.J., James, D.A., Chipps, S.R., and Davis, B.A., 2014, Using cumulative diet data and stable isotope analysis to determine trophic position of walleye Sander vitreus in a large, complex system: Journal of Freshwater Ecology, v. 29, no. 3, p. 441-447, https://doi.org/10.1080/02705060.2014.910713.","productDescription":"7 p.","startPage":"441","endPage":"447","ipdsId":"IP-055817","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"59084932e4b0fc4e448ffd80","contributors":{"authors":[{"text":"Fincel, Mark J.","contributorId":171853,"corporation":false,"usgs":false,"family":"Fincel","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":26957,"text":"South Dakota Game, Fish and Parks, Ft. Pierre, SD","active":true,"usgs":false}],"preferred":false,"id":693631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James, Daniel A.","contributorId":41737,"corporation":false,"usgs":true,"family":"James","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Blake A.","contributorId":191618,"corporation":false,"usgs":false,"family":"Davis","given":"Blake","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693633,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193445,"text":"70193445 - 2014 - Reflections on a vision for integrated research and monitoring after 15 years","interactions":[],"lastModifiedDate":"2017-11-10T12:18:02","indexId":"70193445","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Reflections on a vision for integrated research and monitoring after 15 years","docAbstract":"In May of 1998, Owen Bricker and his co-author Michael Ruggiero introduced a conceptual design for integrating the Nation’s environmental research and monitoring programs. The Framework for Integrated Monitoring and Related Research was an organizing strategy for relating data collected by various programs, at multiple spatial and temporal scales, and by multiple science disciplines to solve complex ecological issues that individual research or monitoring programs were not designed to address. The concept nested existing intensive monitoring and research stations within national and regional surveys, remotely sensed data, and inventories to produce a collaborative program for multi-scale, multi-network integrated environmental monitoring and research. Analyses of gaps in data needed for specific issues would drive decisions on network improvements or enhancements. Data contributions to the Framework from existing networks would help indicate critical research and monitoring programs to protect during budget reductions. Significant progress has been made since 1998 on refining the Framework strategy. Methods and models for projecting scientific information across spatial and temporal scales have been improved, and a few regional pilots of multi-scale data-integration concepts have been attempted. The links between science and decision-making are also slowly improving and being incorporated into science practice. Experiments with the Framework strategy since 1998 have revealed the foundational elements essential to its successful implementation, such as defining core measurements, establishing standards of data collection and management, integrating research and long-term monitoring, and describing baseline ecological conditions. They have also shown us the remaining challenges to establishing the Framework concept: protecting and enhancing critical long-term monitoring, filling gaps in measurement methods, improving science for decision support, and integrating the disparate integrated science efforts now underway. In the 15 years since the Bricker and Ruggiero (Ecol Appl 8(2):326–329, 1998) paper challenged us with a new paradigm for bringing sound and comprehensive science to environmental decisions, the scientific community can take pride in the progress that has been made, while also taking stock of the challenges ahead for completing the Framework vision.","language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9222-7","usgsCitation":"Murdoch, P.S., McHale, M., and Baron, J., 2014, Reflections on a vision for integrated research and monitoring after 15 years: Aquatic Geochemistry, v. 20, no. 2-3, p. 363-380, https://doi.org/10.1007/s10498-013-9222-7.","productDescription":"18 p.","startPage":"363","endPage":"380","ipdsId":"IP-045494","costCenters":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"links":[{"id":348584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2-3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-01","publicationStatus":"PW","scienceBaseUri":"5a06c8d5e4b09af898c86176","contributors":{"authors":[{"text":"Murdoch, Peter S. 0000-0001-9243-505X pmurdoch@usgs.gov","orcid":"https://orcid.org/0000-0001-9243-505X","contributorId":2453,"corporation":false,"usgs":true,"family":"Murdoch","given":"Peter","email":"pmurdoch@usgs.gov","middleInitial":"S.","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":719078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHale, Michael 0000-0003-3780-1816 mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":177292,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":719077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":719076,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70154973,"text":"70154973 - 2014 - Re-evaluation of Yellowstone grizzly bear population dynamics not supported by empirical data: response to Doak & Cutler","interactions":[],"lastModifiedDate":"2015-07-22T11:12:21","indexId":"70154973","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"Re-evaluation of Yellowstone grizzly bear population dynamics not supported by empirical data: response to Doak & Cutler","docAbstract":"

Doak and Cutler critiqued methods used by the Interagency Grizzly Bear Study Team (IGBST) to estimate grizzly bear population size and trend in the Greater Yellowstone Ecosystem. Here, we focus on the premise, implementation, and interpretation of simulations they used to support their arguments. They argued that population increases documented by IGBST based on females with cubs-of-the-year were an artifact of increased search effort. However, we demonstrate their simulations were neither reflective of the true observation process nor did their results provide statistical support for their conclusion. They further argued that survival and reproductive senescence should be incorporated into population projections, but we demonstrate their choice of extreme mortality risk beyond age 20 and incompatible baseline fecundity led to erroneous conclusions. The conclusions of Doak and Cutler are unsubstantiated when placed within the context of a thorough understanding of the data, study system, and previous research findings and publications.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/conl.12095","usgsCitation":"van Manen, F.T., Ebinger, M.R., Haroldson, M.A., Harris, R., Higgs, M., Cherry, S., White, G.C., and Schwartz, C.C., 2014, Re-evaluation of Yellowstone grizzly bear population dynamics not supported by empirical data: response to Doak & Cutler: Conservation Letters, v. 7, no. 3, p. 323-331, https://doi.org/10.1111/conl.12095.","productDescription":"9 p.","startPage":"323","endPage":"331","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051618","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":473031,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/conl.12095","text":"Publisher Index Page"},{"id":305891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-24","publicationStatus":"PW","scienceBaseUri":"55b0beaee4b09a3b01b530a0","contributors":{"authors":[{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":564439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebinger, Michael R. mebinger@usgs.gov","contributorId":5771,"corporation":false,"usgs":true,"family":"Ebinger","given":"Michael","email":"mebinger@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":564440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":564441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Richard B.","contributorId":55138,"corporation":false,"usgs":true,"family":"Harris","given":"Richard B.","affiliations":[],"preferred":false,"id":564442,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Higgs, Megan D.","contributorId":14718,"corporation":false,"usgs":true,"family":"Higgs","given":"Megan D.","affiliations":[],"preferred":false,"id":564443,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cherry, Steve","contributorId":90450,"corporation":false,"usgs":true,"family":"Cherry","given":"Steve","email":"","affiliations":[],"preferred":false,"id":564444,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, Gary C.","contributorId":66831,"corporation":false,"usgs":false,"family":"White","given":"Gary","email":"","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":564445,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schwartz, Charles C.","contributorId":55950,"corporation":false,"usgs":true,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":564446,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70144457,"text":"70144457 - 2014 - Evaluation of high-frequency mean streamwater transit-time estimates using groundwater age and dissolved silica concentrations in a small forested watershed","interactions":[],"lastModifiedDate":"2016-11-30T14:40:23","indexId":"70144457","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of high-frequency mean streamwater transit-time estimates using groundwater age and dissolved silica concentrations in a small forested watershed","docAbstract":"

Many previous investigations of mean streamwater transit times (MTT) have been limited by an inability to quantify the MTT dynamics. Here, we draw on (1) a linear relation (r 2 = 0.97) between groundwater 3H/3He ages and dissolved silica (Si) concentrations, combined with (2) predicted streamwater Si concentrations from a multiple-regression relation (R 2 = 0.87) to estimate MTT at 5-min intervals for a 23-year time series of streamflow [water year (WY) 1986 through 2008] at the Panola Mountain Research Watershed, Georgia. The time-based average MTT derived from the 5-min data was ~8.4 ± 2.9 years and the volume-weighted (VW) MTT was ~4.7 years for the study period, reflecting the importance of younger runoff water during high flow. The 5-min MTTs are normally distributed and ranged from 0 to 15 years. Monthly VW MTTs averaged 7.0 ± 3.3 years and ranged from 4 to 6 years during winter and 8–10 years during summer. The annual VW MTTs averaged 5.6 ± 2.0 years and ranged from ~5 years during wet years (2003 and 2005) to >10 years during dry years (2002 and 2008). Stormflows are composed of much younger water than baseflows, and although stormflow only occurs ~17 % of the time, this runoff fraction contributed 39 % of the runoff during the 23-year study period. Combining the 23-year VW MTT (including stormflow) with the annual average baseflow for the period (~212 mm) indicates that active groundwater storage is ~1,000 mm. However, the groundwater storage ranged from 1,040 to 1,950 mm using WY baseflow and WY VW MTT. The approach described herein may be applicable to other watersheds underlain by granitoid bedrock, where weathering is the dominant control on Si concentrations in soils, groundwater, and streamwater.

","language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9207-6","usgsCitation":"Peters, N.E., Burns, D.A., and Aulenbach, B.T., 2014, Evaluation of high-frequency mean streamwater transit-time estimates using groundwater age and dissolved silica concentrations in a small forested watershed: Aquatic Geochemistry, v. 20, no. 2-3, p. 183-202, https://doi.org/10.1007/s10498-013-9207-6.","productDescription":"20 p.","startPage":"183","endPage":"202","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049194","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":299226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Panola Mountain Research Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.19424057006836,\n 33.60804305794581\n ],\n [\n -84.19424057006836,\n 33.65149408962454\n ],\n [\n -84.12694931030273,\n 33.65149408962454\n ],\n [\n -84.12694931030273,\n 33.60804305794581\n ],\n [\n -84.19424057006836,\n 33.60804305794581\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2-3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-16","publicationStatus":"PW","scienceBaseUri":"551bc52be4b0323842783a47","contributors":{"authors":[{"text":"Peters, Norman E. nepeters@usgs.gov","contributorId":1324,"corporation":false,"usgs":true,"family":"Peters","given":"Norman","email":"nepeters@usgs.gov","middleInitial":"E.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543631,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70138850,"text":"70138850 - 2014 - Home range and movements of American alligators (Alligator mississippiensis) in an estuary habitat","interactions":[],"lastModifiedDate":"2015-01-23T13:31:56","indexId":"70138850","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Home range and movements of American alligators (Alligator mississippiensis) in an estuary habitat","docAbstract":"

Background

\n

Understanding movement patterns of free-ranging top predators throughout heterogeneous habitat is important for gaining insight into trophic interactions. We tracked the movements of five adult American alligators to delineate their estuarine habitat use and determine drivers of their activity patterns in a seasonally-fluctuating environment. We also compared VHF- and satellite-tracks of one of the alligators to examine tradeoffs in data quality and quantity.

\n

Results

\n

All tracked alligators showed high site fidelity in the estuary, but estimated home range size and core-use areas were highly variable. Two alligators were relatively sedentary and remained in the upper stream zone. One alligator traveled to a transition zone between freshwater marsh and estuary habitat, but primarily remained in the upstream area. Two alligators traveled to the downstream zone into saline conditions and showed high salinity tolerance. Overall movement rates were highly influenced by salinity, temperature, and season. Both satellite and VHF radio telemetries resulted in similar home range, core-use area, and activity centers.

\n

Conclusions

\n

This study reveals consistent use of estuary habitat by American alligators. The alligators showed variations in their movement pattern and seasonal habitat, with movement attributable to environmental factors. Although satellite-derived locations were more dispersed compared to locations collected using VHF radio-tags, data collected from VHF tracking omitted some habitat used for a short period of time, indicating the effectiveness of satellite telemetry to continuously track animals for ecosystem-scale studies.

","language":"English","publisher":"BioMed Central","doi":"10.1186/2050-3385-2-8","usgsCitation":"Fujisaki, I., Hart, K.M., Mazzotti, F., Cherkiss, M.S., Sartain-Iverson, A.R., Jeffery, B.M., Beauchamp, J.S., and Denton, M.J., 2014, Home range and movements of American alligators (Alligator mississippiensis) in an estuary habitat: Animal Biotelemetry, v. 2, no. 8, 10 p., https://doi.org/10.1186/2050-3385-2-8.","productDescription":"10 p.","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052341","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473028,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2050-3385-2-8","text":"Publisher Index Page"},{"id":297485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.243896484375,\n 25.180087808990645\n ],\n [\n -81.243896484375,\n 25.547397663603196\n ],\n [\n -80.76599121093749,\n 25.547397663603196\n ],\n [\n -80.76599121093749,\n 25.180087808990645\n ],\n [\n -81.243896484375,\n 25.180087808990645\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"8","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2bc6e4b08de9379b34c4","contributors":{"authors":[{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":539067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":539068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherkiss, Michael S. 0000-0002-7802-6791 mcherkiss@usgs.gov","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":4571,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","email":"mcherkiss@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":539066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sartain-Iverson, Autumn R. 0000-0002-8353-6745 asartain@usgs.gov","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":5477,"corporation":false,"usgs":true,"family":"Sartain-Iverson","given":"Autumn","email":"asartain@usgs.gov","middleInitial":"R.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":539069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jeffery, Brian M.","contributorId":16511,"corporation":false,"usgs":false,"family":"Jeffery","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":539070,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beauchamp, Jeffrey S.","contributorId":138880,"corporation":false,"usgs":false,"family":"Beauchamp","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":12559,"text":"University of Florida, FLEC","active":true,"usgs":false}],"preferred":false,"id":539071,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Denton, Mathew J. 0000-0002-1024-3722 mdenton@usgs.gov","orcid":"https://orcid.org/0000-0002-1024-3722","contributorId":4862,"corporation":false,"usgs":true,"family":"Denton","given":"Mathew","email":"mdenton@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539072,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70191614,"text":"70191614 - 2014 - Applications of spatial statistical network models to stream data","interactions":[],"lastModifiedDate":"2017-11-22T10:45:26","indexId":"70191614","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Applications of spatial statistical network models to stream data","docAbstract":"

Streams and rivers host a significant portion of Earth's biodiversity and provide important ecosystem services for human populations. Accurate information regarding the status and trends of stream resources is vital for their effective conservation and management. Most statistical techniques applied to data measured on stream networks were developed for terrestrial applications and are not optimized for streams. A new class of spatial statistical model, based on valid covariance structures for stream networks, can be used with many common types of stream data (e.g., water quality attributes, habitat conditions, biological surveys) through application of appropriate distributions (e.g., Gaussian, binomial, Poisson). The spatial statistical network models account for spatial autocorrelation (i.e., nonindependence) among measurements, which allows their application to databases with clustered measurement locations. Large amounts of stream data exist in many areas where spatial statistical analyses could be used to develop novel insights, improve predictions at unsampled sites, and aid in the design of efficient monitoring strategies at relatively low cost. We review the topic of spatial autocorrelation and its effects on statistical inference, demonstrate the use of spatial statistics with stream datasets relevant to common research and management questions, and discuss additional applications and development potential for spatial statistics on stream networks. Free software for implementing the spatial statistical network models has been developed that enables custom applications with many stream databases.

","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1023","usgsCitation":"Isaak, D.J., Peterson, E.E., Ver Hoef, J.M., Wenger, S.J., Falke, J.A., Torgersen, C.E., Sowder, C., Steel, E.A., Fortin, M., Jordan, C.E., Ruesch, A.S., Som, N., and Monestiez, P., 2014, Applications of spatial statistical network models to stream data: WIREs Water, v. 1, no. 3, p. 277-294, https://doi.org/10.1002/wat2.1023.","productDescription":"18 p.","startPage":"277","endPage":"294","ipdsId":"IP-052526","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":346716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-03","publicationStatus":"PW","scienceBaseUri":"59e71694e4b05fe04cd331d7","contributors":{"authors":[{"text":"Isaak, Daniel J.","contributorId":177835,"corporation":false,"usgs":false,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Erin E.","contributorId":16264,"corporation":false,"usgs":true,"family":"Peterson","given":"Erin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ver Hoef, Jay M.","contributorId":42504,"corporation":false,"usgs":true,"family":"Ver Hoef","given":"Jay","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":712900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wenger, Seth J.","contributorId":64786,"corporation":false,"usgs":true,"family":"Wenger","given":"Seth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712901,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":712902,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":3578,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":712903,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sowder, Colin","contributorId":197201,"corporation":false,"usgs":false,"family":"Sowder","given":"Colin","email":"","affiliations":[],"preferred":false,"id":712904,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Steel, E. Ashley","contributorId":192227,"corporation":false,"usgs":false,"family":"Steel","given":"E.","email":"","middleInitial":"Ashley","affiliations":[],"preferred":false,"id":712905,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fortin, Marie-Josée","contributorId":40462,"corporation":false,"usgs":true,"family":"Fortin","given":"Marie-Josée","affiliations":[],"preferred":false,"id":712906,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jordan, Chris E.","contributorId":88233,"corporation":false,"usgs":true,"family":"Jordan","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712907,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ruesch, Aaron S.","contributorId":26559,"corporation":false,"usgs":true,"family":"Ruesch","given":"Aaron","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":712908,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Som, Nicholas","contributorId":100264,"corporation":false,"usgs":true,"family":"Som","given":"Nicholas","affiliations":[],"preferred":false,"id":712909,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Monestiez, Pascal","contributorId":11910,"corporation":false,"usgs":true,"family":"Monestiez","given":"Pascal","email":"","affiliations":[],"preferred":false,"id":712910,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70173452,"text":"70173452 - 2014 - Long-term citizen-collected data reveal geographical patterns and temporal trends in lake water clarity","interactions":[],"lastModifiedDate":"2019-06-03T13:26:54","indexId":"70173452","displayToPublicDate":"2014-04-30T14:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Long-term citizen-collected data reveal geographical patterns and temporal trends in lake water clarity","docAbstract":"

We compiled a lake-water clarity database using publicly available, citizen volunteer observations made between 1938 and 2012 across eight states in the Upper Midwest, USA. Our objectives were to determine (1) whether temporal trends in lake-water clarity existed across this large geographic area and (2) whether trends were related to the lake-specific characteristics of latitude, lake size, or time period the lake was monitored. Our database consisted of >140,000 individual Secchi observations from 3,251 lakes that we summarized per lake-year, resulting in 21,020 summer averages. Using Bayesian hierarchical modeling, we found approximately a 1% per year increase in water clarity (quantified as Secchi depth) for the entire population of lakes. On an individual lake basis, 7% of lakes showed increased water clarity and 4% showed decreased clarity. Trend direction and strength were related to latitude and median sample date. Lakes in the southern part of our study-region had lower average annual summer water clarity, more negative long-term trends, and greater inter-annual variability in water clarity compared to northern lakes. Increasing trends were strongest for lakes with median sample dates earlier in the period of record (1938–2012). Our ability to identify specific mechanisms for these trends is currently hampered by the lack of a large, multi-thematic database of variables that drive water clarity (e.g., climate, land use/cover). Our results demonstrate, however, that citizen science can provide the critical monitoring data needed to address environmental questions at large spatial and long temporal scales. Collaborations among citizens, research scientists, and government agencies may be important for developing the data sources and analytical tools necessary to move toward an understanding of the factors influencing macro-scale patterns such as those shown here for lake water clarity.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0095769","usgsCitation":"Lottig, N.R., Wagner, T., Henry, E.N., Cheruvelil, K.S., Webster, K.E., Downing, J.A., and Stow, C., 2014, Long-term citizen-collected data reveal geographical patterns and temporal trends in lake water clarity: PLoS ONE, v. 9, no. 4, e95769; 8 p., https://doi.org/10.1371/journal.pone.0095769.","productDescription":"e95769; 8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053624","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0095769","text":"Publisher Index Page"},{"id":324211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, 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\"}}]}","volume":"9","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"576bb6b7e4b07657d1a228f6","contributors":{"authors":[{"text":"Lottig, Noah R.","contributorId":172031,"corporation":false,"usgs":false,"family":"Lottig","given":"Noah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":640313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Emily 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A.","contributorId":169033,"corporation":false,"usgs":false,"family":"Downing","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":640317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stow, Craig A.","contributorId":49733,"corporation":false,"usgs":true,"family":"Stow","given":"Craig A.","affiliations":[],"preferred":false,"id":640318,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70103170,"text":"sir20145035 - 2014 - U.S. Geological Survey Karst Interest Group Proceedings, Carlsbad, New Mexico, April 29-May 2, 2014","interactions":[],"lastModifiedDate":"2017-05-26T12:40:18","indexId":"sir20145035","displayToPublicDate":"2014-04-29T14:56:00","publicationYear":"2014","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":"2014-5035","title":"U.S. Geological Survey Karst Interest Group Proceedings, Carlsbad, New Mexico, April 29-May 2, 2014","docAbstract":"

Karst aquifer systems are present throughout parts of the United States and some of its territories, and have developed in carbonate rocks (primarily limestone and dolomite) that span an interval of time encompassing more than 550 million years. The depositional environments, diagenetic processes, post-depositional tectonic events, and geochemical weathering processes that form karst aquifers are varied and complex, and involve biological, chemical, and physical changes. These factors, combined with the diverse climatic regimes under which karst development in these rocks has taken place, result in the unique dual- or triple-porosity nature of karst aquifers. These complex hydrogeologic systems typically represent challenging and unique conditions to scientists attempting to study groundwater flow and contaminant transport in these terrains.

The dissolution of carbonate rocks and the subsequent development of distinct and beautiful landscapes, caverns, and springs has resulted in the most exceptional karst areas of the United States being designated as national or state parks; commercial caverns and known privately owned caves number in the tens of thousands. Both public and private properties provide access for scientists to study the flow of groundwater in situ. Likewise, the range and complexity of landforms and groundwater flow systems associated with karst terrains are enormous, perhaps more than for any other aquifer type. Karst aquifers and landscapes that form in tropical areas, such as the cockpit karst along the north coast of Puerto Rico, differ greatly from karst landforms in more arid climates, such as the Edwards Plateau in west-central Texas or the Guadalupe Mountains near Carlsbad, New Mexico, where hypogenic processes have played a major role in speleogenesis. Many of these public and private lands also contain unique flora and fauna associated with these karst hydrogeologic systems. As a result, numerous federal, state, and local agencies have a strong interest in the study of karst terrains.

Many of the major springs and aquifers in the United States have developed in carbonate rocks, such as the Floridan aquifer system in Florida and parts of Alabama, Georgia, and South Carolina; the Ozark Plateaus aquifer system in parts of Arkansas, Kansas, Missouri, and Oklahoma; and the Edwards-Trinity aquifer system in west-central Texas. These aquifers, and the springs that discharge from them, serve as major water-supply sources and as unique ecological habitats. Competition for the water resources of karst aquifers is common, and urban development and the lack of attenuation of contaminants in karst areas can impact the ecosystem and water quality of these aquifers.

The concept for developing a platform for interaction among scientists within the U.S. Geological Survey (USGS) working on karst-related studies evolved from the November 1999 National Ground-Water Meeting of the USGS. As a result, the Karst Interest Group (KIG) was formed in 2000. The KIG is a loose-knit, grass-roots organization of USGS and non-USGS scientists and researchers devoted to fostering better communication among scientists working on, or interested in, karst science. The primary mission of the KIG is to encourage and support interdisciplinary collaboration and technology transfer among scientists working in karst areas. Additionally, the KIG encourages collaborative studies between the different mission areas of the USGS as well as other federal and state agencies, and with researchers from academia and institutes. The KIG also encourages younger scientists by participation of students in the poster and oral sessions.

To accomplish its mission, the KIG has organized a series of workshops that are held near nationally important karst areas. To date (2014) six KIG workshops, including the workshop documented in this report, have been held. The workshops typically include oral and poster sessions on selected karst-related topics and research, as well as field trips to local karst features. Proceedings of the workshops are published by the USGS and are available online at http://water.usgs.gov/ogw/karst/kig.

The first KIG workshop was held in St. Petersburg, Florida, February 13–16, 2001, in the vicinity of the large springs and other karst features of the Floridan aquifer system. The second KIG workshop was held August 20–22, 2002, in Shepherdstown, West Virginia, in proximity to the carbonate aquifers of the northern Shenandoah Valley and highlighted an invited presentation on karst literature by the late Barry F. Beck of P.E. LaMoreaux and Associates. The third KIG workshop was held September 12–15, 2005, in Rapid City, South Dakota, nearby to karst features in evaporites and limestones of the Madison Group in the Black Hills of South Dakota, including Wind Cave National Park and Jewel Cave National Monument. The workshop also included a featured presentation by Thomas Casadevall, Central Region Director, USGS, on the status of earth science at the USGS and evening trips to Jewel Cave led by Mike Wiles, National Park Service (NPS) and Wind Cave led by Rod Horrocks, NPS. The fourth KIG workshop was held May 27–29, 2008, and hosted by the Hoffman Environmental Research Institute and Center for Cave and Karst Studies at Western Kentucky University in Bowling Green, Kentucky, near Mammoth Cave National Park and karst features of the Chester Upland and Pennyroyal Plateau. The workshop featured a late-night field trip into Mammoth Cave with Rickard Toomey and Rick Olsen, NPS. The fifth workshop was held April 26–29, 2011, and was a joint meeting of the USGS KIG and University of Arkansas HydroDays, hosted by the Department of Geosciences at the University of Arkansas in Fayetteville. The workshop featured an outstanding field trip to the unique karst terrain along the Buffalo National River of the southern Ozarks and a keynote presentation on paleokarst in the United States by Art and Peggy Palmer.

This sixth and current 2014 KIG workshop is hosted by the National Cave and Karst Research Institute (NCKRI) in Carlsbad, New Mexico, with Director of NCKRI, George Veni, serving as co-chair of the workshop with Eve Kuniansky, USGS. The session planning committee for this sixth workshop includes Van Brahana, USGS retired and University of Arkansas Professor Emeritus; Tom Byl, USGS and Tennessee State University; Zelda Bailey, former Director of NCKRI and retired Director, National Institute of Standards and Technology, Boulder Laboratory, Colorado; Patrick Tucci, USGS retired; and Mike Bradley, Allan Clark, Geoff Delin, Daniel Doctor, James Kaufmann, Eve Kuniansky, Randy Orndorff, Larry Spangler, and Dave Weary of the USGS. The karst hydrology field trip on Thursday will be led by Lewis Land (NCKRI karst hydrologist) and the optional Friday field trip on the geology of Carlsbad Caverns National Park will be led by George Veni. The keynote speaker is Dr. Penelope Boston, Director of Cave and Karst Studies at New Mexico Tech, Socorro, and Academic Director at NCKRI, who will address the future of karst research. Additionally, there is a featured presentation “Irish karst and its management,” by Caoimhe Hickey, The Geological Survey of Ireland, preceding a panel discussion on “Collaboration During Times of Limited Resources.”

The extended abstracts of USGS authors were peer reviewed and approved for publication by the U.S. Geological Survey. Articles submitted by university researchers and other federal and state agencies did not go through the formal USGS peer review and approval process, and therefore may not adhere to our editorial standards or stratigraphic nomenclature and is not research conducted or data collected by the USGS. However, all articles had at a minimum of two peer reviews, and all articles were edited for consistency of appearance in the published Proceedings. The use of trade, firm or product names in any article is for descriptive purposes only and does not imply endorsement by the U.S. Government. The USGS, Office of Groundwater, provides technical support for the Karst Interest Group website and public availability of the Proceedings from these workshops, and the USGS Groundwater Resources Program funds the publication costs. Finally, the cover illustration is the work of Ann Tihansky, USGS, used since the first KIG workshop in 2000.

","conferenceTitle":"U.S. Geological Survey Karst Interest Group Proceedings","conferenceDate":"April 29 - May 2, 2014","conferenceLocation":"Carlsbad, NM","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145035","collaboration":"A product of the Groundwater Resources Program. Prepared in cooperation with the National Cave and Karst Research Institute","usgsCitation":"Kuniansky, E.L., and Spangler, L.E., 2014, U.S. Geological Survey Karst Interest Group Proceedings, Carlsbad, New Mexico, April 29-May 2, 2014: U.S. Geological Survey Scientific Investigations Report 2014-5035, iv, 155 p., https://doi.org/10.3133/sir20145035.","productDescription":"iv, 155 p.","numberOfPages":"162","ipdsId":"IP-054730","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":286782,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5035/sir2014-5035.pdf"},{"id":286783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145035.jpg"},{"id":286773,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5035/"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5360bbd2e4b082a3ecf53dce","contributors":{"editors":[{"text":"Kuniansky, Eve L. 0000-0002-5581-0225 elkunian@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-0225","contributorId":932,"corporation":false,"usgs":true,"family":"Kuniansky","given":"Eve","email":"elkunian@usgs.gov","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":509842,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Spangler, Lawrence E. 0000-0003-3928-8809 spangler@usgs.gov","orcid":"https://orcid.org/0000-0003-3928-8809","contributorId":973,"corporation":false,"usgs":true,"family":"Spangler","given":"Lawrence","email":"spangler@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":509843,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Kuniansky, Eve L. 0000-0002-5581-0225 elkunian@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-0225","contributorId":932,"corporation":false,"usgs":true,"family":"Kuniansky","given":"Eve","email":"elkunian@usgs.gov","middleInitial":"L.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":493191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spangler, Lawrence E. 0000-0003-3928-8809 spangler@usgs.gov","orcid":"https://orcid.org/0000-0003-3928-8809","contributorId":973,"corporation":false,"usgs":true,"family":"Spangler","given":"Lawrence","email":"spangler@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493192,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70099606,"text":"ds834 - 2014 - Sediment data collected in 2010 from Cat Island, Mississippi","interactions":[],"lastModifiedDate":"2014-04-29T10:09:27","indexId":"ds834","displayToPublicDate":"2014-04-29T10:03:00","publicationYear":"2014","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":"834","title":"Sediment data collected in 2010 from Cat Island, Mississippi","docAbstract":"

Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, in collaboration with the U.S. Army Corps of Engineers, conducted geophysical and sedimentological surveys in 2010 around Cat Island, Mississippi, which is the westernmost island in the Mississippi-Alabama barrier island chain. The objective of the study was to understand the geologic evolution of Cat Island relative to other barrier islands in the northern Gulf of Mexico by identifying relationships between the geologic history, present day morphology, and sediment distribution.

\n
\n

This data series serves as an archive of terrestrial and marine sediment vibracores collected August 4-6 and October 20-22, 2010, respectively. Geographic information system data products include marine and terrestrial core locations and 2007 shoreline data. Additional files include marine and terrestrial core description logs, core photos, results of sediment grain-size analyses, optically stimulated luminescence dating and carbon-14 dating locations and results, Field Activity Collection System logs, and formal Federal Geographic Data Committee metadata.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds834","usgsCitation":"Buster, N.A., Kelso, K.W., Miselis, J.L., and Kindinger, J.L., 2014, Sediment data collected in 2010 from Cat Island, Mississippi: U.S. Geological Survey Data Series 834, HTML document, https://doi.org/10.3133/ds834.","productDescription":"HTML document","onlineOnly":"Y","ipdsId":"IP-051487","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":286757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds834.GIF"},{"id":286755,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0834/"},{"id":286756,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0834/ds834_abstract.html"}],"country":"United States","state":"Mississippi","otherGeospatial":"Cat Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.6004,29.8299 ], [ -89.6004,30.5008 ], [ -88.5265,30.5008 ], [ -88.5265,29.8299 ], [ -89.6004,29.8299 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5360bbd1e4b082a3ecf53dca","contributors":{"authors":[{"text":"Buster, Noreen A. 0000-0001-5069-9284 nbuster@usgs.gov","orcid":"https://orcid.org/0000-0001-5069-9284","contributorId":3750,"corporation":false,"usgs":true,"family":"Buster","given":"Noreen","email":"nbuster@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":491980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":491982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":491981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":491979,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70127905,"text":"70127905 - 2014 - Evaluating a slope-stability model for shallow rain-induced landslides using gage and satellite data","interactions":[],"lastModifiedDate":"2016-09-09T15:35:22","indexId":"70127905","displayToPublicDate":"2014-04-29T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Evaluating a slope-stability model for shallow rain-induced landslides using gage and satellite data","docAbstract":"

Improving prediction of landslide early warning systems requires accurate estimation of the conditions that trigger slope failures. This study tested a slope-stability model for shallow rainfall-induced landslides by utilizing rainfall information from gauge and satellite records. We used the TRIGRS model (Transient Rainfall Infiltration and Grid-based Regional Slope-stability analysis) for simulating the evolution of the factor of safety due to rainfall infiltration. Using a spatial subset of a well-characterized digital landscape from an earlier study, we considered shallow failure on a slope adjoining an urban transportation roadway near the Seattle area in Washington, USA.

We ran the TRIGRS model using high-quality rain gage and satellite-based rainfall data from the Tropical Rainfall Measuring Mission (TRMM). Preliminary results with parameterized soil depth values suggest that the steeper slope values in this spatial domain have factor of safety values that are extremely close to the failure limit within an extremely narrow range of values, providing multiple false alarms. When the soil depths were constrained using a back analysis procedure to ensure that slopes were stable under initial condtions, the model accurately predicted the timing and location of the landslide observation without false alarms over time for gage rain data. The TRMM satellite rainfall data did not show adequately retreived rainfall peak magnitudes and accumulation over the study period, and as a result failed to predict the landslide event. These preliminary results indicate that more accurate and higher-resolution rain data (e.g., the upcoming Global Precipitation Measurement (GPM) mission) are required to provide accurate and reliable landslide predictions in ungaged basins.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslide science for a safer geoenvironment","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-05050-8_67","usgsCitation":"Yatheendradas, S., Kirschbaum, D., Baum, R.L., and Godt, J.W., 2014, Evaluating a slope-stability model for shallow rain-induced landslides using gage and satellite data, chap. of Landslide science for a safer geoenvironment, p. 431-436, https://doi.org/10.1007/978-3-319-05050-8_67.","productDescription":"6 p. ","startPage":"431","endPage":"436","ipdsId":"IP-053433","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":328468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2014-04-29","publicationStatus":"PW","scienceBaseUri":"57d3dd37e4b0571647d19a63","contributors":{"authors":[{"text":"Yatheendradas, S.","contributorId":13035,"corporation":false,"usgs":false,"family":"Yatheendradas","given":"S.","affiliations":[],"preferred":false,"id":519661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirschbaum, D.","contributorId":41686,"corporation":false,"usgs":true,"family":"Kirschbaum","given":"D.","affiliations":[],"preferred":false,"id":519662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":519660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":519659,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70099908,"text":"ds836 - 2014 - Concentrations of selected constituents in surface-water and streambed-sediment samples collected from streams in and near an area of oil and natural-gas development, south-central Texas, 2011-13","interactions":[],"lastModifiedDate":"2016-08-05T12:33:52","indexId":"ds836","displayToPublicDate":"2014-04-28T15:50:54","publicationYear":"2014","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":"836","title":"Concentrations of selected constituents in surface-water and streambed-sediment samples collected from streams in and near an area of oil and natural-gas development, south-central Texas, 2011-13","docAbstract":"

During 2011–13, the U.S. Geological Survey, in cooperation with the San Antonio River Authority and the Guadalupe-Blanco River Authority, analyzed surface-water and streambed-sediment samples collected from 10 sites in the San Antonio River Basin to provide data for a broad range of constituents that might be associated with hydraulic fracturing and the produced waters that are a consequence of hydraulic fracturing. Among surface-water samples, all sulfide concentrations were less than the method detection limit of 0.79 milligrams per liter. Four glycols—diethylene glycol, ethylene glycol, propylene glycol, and triethylene glycol—were analyzed for in surface-water samples collected for this study, and none were detected. Of the 91 semivolatile organic compounds analyzed for this study, there were six detections, all but one of which were in storm-runoff samples. The base-flow sample collected at the San Antonio River at Goliad, Tex. (SAR Goliad), site contained bis(2-ethylhexyl) phthalate, a plasticizer in polyvinyl chloride and a constituent in hydraulic fracturing fluids. The storm-runoff samples collected at the San Antonio River near Elmendorf, Tex. (SAR Elmendorf), and Ecleto Creek at County Road 326 near Runge, Tex. (Ecleto 2), sites also contained bis(2-ethylhexyl) phthalate. The storm-runoff sample collected at the SAR Elmendorf site contained the plasticizer diethyl phthalate. Both storm-runoff samples collected at the Ecleto Creek near Runge, Tex. (Ecleto 1), and Ecleto 2 sites contained benzyl alcohol, a solvent commonly used in paints. Of the 67 volatile organic compounds analyzed in this study, there were a total of six detections, all of which were in base-flow samples. The surface-water sample collected at the SAR Elmendorf site contained bromodichloromethane, dibromochloromethane, and trichloromethane, all of which are disinfection byproducts associated with the chlorination of municipal water supplies and of treated municipal wastewater. The sample collected at the Cibolo Creek near Saint Hedwig, Tex. (Cibolo St. Hedwig), site contained toluene, a fuel additive, solvent, and industrial feedstock used to produce benzene and a constituent associated with produced waters. The Cibolo St. Hedwig site is upstream from current (2014) oil and natural-gas production areas. Dichloromethane, an industrial solvent with multiple uses, was detected in surface-water samples at both the San Antonio River at State Highway 72 near Runge, Tex. (SAR 72), and SAR Goliad sites.

\n

In streambed-sediment samples, concentrations of total saturated hydrocarbons (TSH) ranged from an estimated 260 micrograms per kilogram (μg/kg) in the less than (<) 2-millimeter (mm) size-fraction sample collected at the SAR Goliad site to 11,000 μg/kg in the <2-mm size-fraction sample collected at the Ecleto 1 site. TSH concentrations were greater in the <63-micrometer (μm) size-fraction samples than in the <2-mm size-fraction samples in streambed-sediment samples collected from 5 of the 9 sites. Total polycyclic aromatic hydrocarbons (PAHs) were calculated as the sum of the individual PAHs and alkylated PAHs. Total PAH concentrations ranged from less than the method detection limit in the <2-mm size-fraction samples collected from multiple sites to 1,600 μg/kg in the <2-mm size-fraction sample collected from the San Antonio River near McFaddin, Tex. (SAR McFaddin), site. Total PAH concentrations were greater in the <63-μm size-fraction samples than in the <2-mm size-fraction samples at 7 of the 9 sites.

\n

During collection of streambed-sediment samples, additional samples from a subset of three sites (the SAR Elmendorf, SAR 72, and SAR McFaddin sites) were processed by using a 63-µm sieve on one aliquot and a 2-mm sieve on a second aliquot for PAH and n-alkane analyses. The purpose of analyzing PAHs and n-alkanes on a sample containing sand, silt, and clay versus a sample containing only silt and clay was to provide data that could be used to determine if these organic constituents had a greater affinity for silt- and clay-sized particles relative to sand-sized particles. The greater concentrations of PAHs in the <63-μm size-fraction samples at all three of these sites are consistent with a greater percentage of binding sites associated with fine-grained (<63 μm) sediment versus coarse-grained (<2 mm) sediment. The larger difference in total PAHs between the <2-mm and <63-μm size-fraction samples at the SAR Elmendorf site might be related to the large percentage of sand in the <2-mm size-fraction sample which was absent in the <63-μm size-fraction sample. In contrast, the <2-mm size-fraction sample collected from the SAR McFaddin site contained very little sand and was similar in particle-size composition to the <63-μm size-fraction sample.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds836","collaboration":"Prepared in cooperation with the San Antonio River Authority and the Guadalupe-Blanco River Authority","usgsCitation":"Opsahl, S.P., and Crow, C.L., 2014, Concentrations of selected constituents in surface-water and streambed-sediment samples collected from streams in and near an area of oil and natural-gas development, south-central Texas, 2011-13 (Originally posted April 29, 2014; Version 1.1: January 28, 2015): U.S. Geological Survey Data Series 836, Report: v, 25 p.; Appendixes 1-18, https://doi.org/10.3133/ds836.","productDescription":"Report: v, 25 p.; Appendixes 1-18","numberOfPages":"35","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-054353","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":286793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds836.jpg"},{"id":286792,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/836/downloads/ds836_appendixes1-18.xlsx","text":"Appendixes 1-18","size":"119 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendixes 1-18"},{"id":286791,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/836/pdf/ds836.pdf","text":"Report","size":"1.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":286788,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/836/"}],"scale":"24000","projection":"Universal Transverse Mercator, zone 14","datum":"North American Datum of 1983","country":"United States","state":"Texas","otherGeospatial":"San Antonio River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,28.667 ], [ -98,29.667 ], [ -97,29.667 ], [ -97,28.667 ], [ -98,28.667 ] ] ] } } ] }","edition":"Originally posted April 29, 2014; Version 1.1: January 28, 2015","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5360c9e8e4b082a3ecf53dea","contributors":{"authors":[{"text":"Opsahl, Stephen P. 0000-0002-4774-0415 sopsahl@usgs.gov","orcid":"https://orcid.org/0000-0002-4774-0415","contributorId":4713,"corporation":false,"usgs":true,"family":"Opsahl","given":"Stephen","email":"sopsahl@usgs.gov","middleInitial":"P.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crow, Cassi L. 0000-0002-1279-2485 ccrow@usgs.gov","orcid":"https://orcid.org/0000-0002-1279-2485","contributorId":1666,"corporation":false,"usgs":true,"family":"Crow","given":"Cassi","email":"ccrow@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492057,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70103043,"text":"70103043 - 2014 - Use of main channel and two backwater habitats by larval fishes in the Detroit River","interactions":[],"lastModifiedDate":"2014-06-19T09:24:27","indexId":"70103043","displayToPublicDate":"2014-04-28T15:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Use of main channel and two backwater habitats by larval fishes in the Detroit River","docAbstract":"Recent investigations in the Detroit River have revealed renewed spawning activity by several important fishes, but little is known about their early life history requirements. We surveyed two main channel and two backwater areas in the lower Detroit River weekly from May to July 2007 to assess habitat use by larval fishes. Backwater areas included a soft-sediment embayment (FI) and a hard-sediment area (HIW). Main channel sites were located adjacent to each backwater area. Water temperature, velocity and clarity measurements and zooplankton samples were collected weekly. A macrophyte assessment was conducted in July. Growth and diet of larval yellow perch (Perca flavescens), bluegill (Lepomis macrochirus) and round goby (Neogobius melanostomus) were used to assess habitat quality. Macrophyte diversity and percent cover were higher and velocity lower at FI than HIW. Although larval fish diversity was highest in the main channel, yellow perch and bluegill larvae only grew beyond the yolk stage at FI, where they preferentially selected copepods, while Daphnia were selected in the main channel. Round goby ate harpacticoid copepods and Daphnia and grew at similar rates in HIW and the main channel. These data indicate that FI was a valuable nursery area for yellow perch and bluegill, whereas HIW was better suited to round goby. We only assessed two backwater areas, thus a complete census of wetland areas in the Detroit River is needed to identify valuable habitats. Restoration of shallow backwater areas is essential for rehabilitating fish populations and should be a priority in the Detroit River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.10.001","usgsCitation":"McDonald, E.A., McNaught, A.S., and Roseman, E., 2014, Use of main channel and two backwater habitats by larval fishes in the Detroit River: Journal of Great Lakes Research, v. 40, p. 69-80, https://doi.org/10.1016/j.jglr.2013.10.001.","productDescription":"12 p.","startPage":"69","endPage":"80","numberOfPages":"12","ipdsId":"IP-050501","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":286743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286742,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.10.001"}],"country":"Canada;United States","state":"Michigan","otherGeospatial":"Detroit River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.21068,42.06184 ], [ -83.21068,42.357325 ], [ -82.859839,42.357325 ], [ -82.859839,42.06184 ], [ -83.21068,42.06184 ] ] ] } } ] }","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535f6a58e4b078dca33ae33c","contributors":{"authors":[{"text":"McDonald, Erik A.","contributorId":36056,"corporation":false,"usgs":true,"family":"McDonald","given":"Erik","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNaught, A. Scott","contributorId":23439,"corporation":false,"usgs":true,"family":"McNaught","given":"A.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":493126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F.","contributorId":100334,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[],"preferred":false,"id":493128,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70102826,"text":"70102826 - 2014 - Depletion of eugenol residues from the skin-on fillet tissue of rainbow trout exposed to 14C-labeled eugenol","interactions":[],"lastModifiedDate":"2014-04-29T09:31:16","indexId":"70102826","displayToPublicDate":"2014-04-28T13:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":853,"text":"Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Depletion of eugenol residues from the skin-on fillet tissue of rainbow trout exposed to 14C-labeled eugenol","docAbstract":"

The U.S. is lagging in access to an approved immediate-release sedative, i.e. a compound that can be safely and effectively used to sedate fish and has no withdrawal period. AQUI-S® 20E (10% active ingredient, eugenol) is under investigation as an immediate-release sedative for freshwater finfish. Because of its investigational status, data are needed to characterize the depletion, distribution, and identity of AQUI-S® 20E residues in fillet tissue. Rainbow trout (Oncorhynchus mykiss) were exposed to uniformly ring labeled 14C-eugenol at a nominal concentration of 10 mg/L for 60 min in 18 °C water. Fish (n = 6) were sampled immediately after the exposure (0 min) then at 30, 60, 120, and 240 min. Eugenol concentrations and characterization of 14C residues in the fillet tissue were determined by high pressure liquid chromatography and flow-through liquid scintillation counting techniques. Total 14C-residue burdens in fillet tissue were determined by tissue oxidation and static liquid scintillation counting techniques.

\n
\n

Maximum eugenol and 14C-eugenol equivalent residue concentrations in the fillet tissue were measured immediately after the exposure (44.5 and 38.8 μg/g, respectively). Eugenol was the primary 14C-residue (> 90% of all 14C-residues) in extracts from fillet tissue taken from fish sampled immediately after the exposure (0 min) and from fish sampled at 30 and 60 min after the exposure. The depletion of 14C-eugenol residues from the fillet tissue was rapid (t1/2 = 26.25 min) after transferring the exposed fish to fresh flowing water.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquaculture","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.aquaculture.2014.03.050","usgsCitation":"Meinertz, J.R., Schreier, T.M., Porcher, S.T., Smerud, J.R., and Gaikowski, M.P., 2014, Depletion of eugenol residues from the skin-on fillet tissue of rainbow trout exposed to 14C-labeled eugenol: Aquaculture, v. 430, p. 74-78, https://doi.org/10.1016/j.aquaculture.2014.03.050.","productDescription":"5 p.","startPage":"74","endPage":"78","numberOfPages":"5","ipdsId":"IP-054231","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":438766,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BV7DPX","text":"USGS data release","linkHelpText":"Marker residue depletion from the skin-on fillet tissue of rainbow trout exposed to AQUI S 20E:"},{"id":286728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286530,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.aquaculture.2014.03.050"}],"volume":"430","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535f6a51e4b078dca33ae31c","contributors":{"authors":[{"text":"Meinertz, Jeffery R. 0000-0002-8855-2648 jmeinertz@usgs.gov","orcid":"https://orcid.org/0000-0002-8855-2648","contributorId":2495,"corporation":false,"usgs":true,"family":"Meinertz","given":"Jeffery","email":"jmeinertz@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":493038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreier, Theresa M. 0000-0001-7722-6292 tschreier@usgs.gov","orcid":"https://orcid.org/0000-0001-7722-6292","contributorId":3344,"corporation":false,"usgs":true,"family":"Schreier","given":"Theresa","email":"tschreier@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":493039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porcher, Scott T. sporcher@usgs.gov","contributorId":5030,"corporation":false,"usgs":true,"family":"Porcher","given":"Scott","email":"sporcher@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":493040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smerud, Justin R. 0000-0003-4385-7437 jrsmerud@usgs.gov","orcid":"https://orcid.org/0000-0003-4385-7437","contributorId":5031,"corporation":false,"usgs":true,"family":"Smerud","given":"Justin","email":"jrsmerud@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":493041,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":796,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark","email":"mgaikowski@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":493037,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}