{"pageNumber":"657","pageRowStart":"16400","pageSize":"25","recordCount":69040,"records":[{"id":70041578,"text":"pp1794A8 - 2012 - Southern Rockies Ecoregion: Chapter 8 in <i>Status and trends of land change in the Western United States--1973 to 2000</i>","interactions":[],"lastModifiedDate":"2013-02-01T10:58:13","indexId":"pp1794A8","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1794-A-8","title":"Southern Rockies Ecoregion: Chapter 8 in <i>Status and trends of land change in the Western United States--1973 to 2000</i>","docAbstract":"The Southern Rockies Ecoregion is a high-elevation mountainous ecoregion that covers approximately 138,854 km2 (53,612 mi2), including much of central Colorado and parts of southern Wyoming and northern New Mexico (fig. 1) (Omernik, 1987; U.S. Environmental Protection Agency, 1997). It abuts six other ecoregions: the Wyoming Basin and Colorado Plateaus Ecoregions on the north and west, the Arizona/New Mexico Plateau Ecoregion on the south, and the Northwestern Great Plains, Western High Plains, and Southwestern Tablelands Ecoregions on the east (fig. 1). The ecoregion receives most of its annual precipitation (25–100 cm) as snowfall, which provides a significant amount of high-elevation snowpack that is an important water source for surrounding ecoregions. The Southern Rockies Ecoregion has a steep elevation gradient from low foothills to high peaks, with several hundred summits higher than 3,660 m (12,000 ft). As a southern extension of the larger RockyMountain system, it is composed primarily of seven main north-south trending mountain ranges that are separated by four large intermontane basins. A fifth basin, the San Luis Valley, is outside the ecoregion, forming a northern finger of the Arizona/New Mexico Plateau Ecoregion that lies mostly to the south. To the east, late Tertiary sand and gravel deposits that were eroded from the relatively young Rocky Mountains were carried eastward by streams, forming the nearby Western High Plains Ecoregion and its underlying Ogallala aquifer.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Status and trends of land change in the Western United States--1973 to 2000: Volume A in <i>Status and trends of land change in the United States--1973 to 2000</i> (PP 1794-A)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1794A8","collaboration":"This publication is Chapter 8 in <i>Status and trends of land change in the Western United States--1973 to 2000</i>, which is Volume A in <i>Status and trends of land change in the United States--1973 to 2000</i>, PP 1794.  Volume A consists of 30 chapters. For access to other chapters, please visit <a href=\"http://pubs.er.usgs.gov/publication/pp1794A\" target=\"_blank\">PP 1794-A</a>.","usgsCitation":"Drummond, M.A., 2012, Southern Rockies Ecoregion: Chapter 8 in <i>Status and trends of land change in the Western United States--1973 to 2000</i>: U.S. Geological Survey Professional Paper 1794-A-8, Chapter 8: 9 p., https://doi.org/10.3133/pp1794A8.","productDescription":"Chapter 8: 9 p.","startPage":"95","endPage":"103","additionalOnlineFiles":"Y","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":263859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1794_A_8.jpg"},{"id":263857,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/pp1794a_chapter08.pdf"},{"id":263858,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/"},{"id":263856,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1794/a/"}],"country":"United States","state":"Colorado;New Mexico;Wyoming","otherGeospatial":"Rockies","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.5,35.0 ], [ -109.5,43.0 ], [ -103.9,43.0 ], [ -103.9,35.0 ], [ -109.5,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c31e7ee4b0b57f2415d215","contributors":{"authors":[{"text":"Drummond, Mark A. 0000-0001-7420-3503 madrummond@usgs.gov","orcid":"https://orcid.org/0000-0001-7420-3503","contributorId":3053,"corporation":false,"usgs":true,"family":"Drummond","given":"Mark","email":"madrummond@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":469934,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70171522,"text":"70171522 - 2012 - Carbon dioxide and methane emissions from the Yukon River system","interactions":[],"lastModifiedDate":"2017-04-06T15:13:46","indexId":"70171522","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide and methane emissions from the Yukon River system","docAbstract":"<p><span>Carbon dioxide (CO</span><sub>2</sub><span>) and methane (CH</span><sub>4</sub><span>) emissions are important, but poorly quantified, components of riverine carbon (C) budgets. This is largely because the data needed for gas flux calculations are sparse and are spatially and temporally variable. Additionally, the importance of C gas emissions relative to lateral C exports is not well known because gaseous and aqueous fluxes are not commonly measured on the same rivers. We couple measurements of aqueous CO</span><sub>2</sub><span> and CH</span><sub>4</sub><span> partial pressures (</span><i>p</i><span>CO</span><sub>2</sub><span>, </span><i>p</i><span>CH</span><sub>4</sub><span>) and flux across the water-air interface with gas transfer models to calculate subbasin distributions of gas flux density. We then combine those flux densities with remote and direct observations of stream and river water surface area and ice duration, to calculate C gas emissions from flowing waters throughout the Yukon River basin. CO</span><sub>2</sub><span>emissions were 7.68 Tg C yr</span><sup>−1</sup><span> (95% CI: 5.84 −10.46), averaging 750 g C m</span><sup>−2</sup><span> yr</span><sup>−1</sup><span> normalized to water surface area, and 9.0 g C m</span><sup>−2</sup><span> yr</span><sup>−1</sup><span> normalized to river basin area. River CH</span><sub>4</sub><span> emissions totaled 55 Gg C yr</span><sup>−1</sup><span> or 0.7% of the total mass of C emitted as CO</span><sub>2</sub><span> plus CH</span><sub>4</sub><span> and ∼6.4% of their combined radiative forcing. When combined with lateral inorganic plus organic C exports to below head of tide, C gas emissions comprised 50% of total C exported by the Yukon River and its tributaries. River CO</span><sub>2</sub><span> and CH</span><sub>4</sub><span> derive from multiple sources, including groundwater, surface water runoff, carbonate equilibrium reactions, and benthic and water column microbial processing of organic C. The exact role of each of these processes is not yet quantified in the overall river C budget.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2012GB004306","usgsCitation":"Striegl, R.G., Dornblaser, M.M., McDonald, C.P., Rover, J.R., and Stets, E., 2012, Carbon dioxide and methane emissions from the Yukon River system: Global Biogeochemical Cycles, v. 26, no. 4, GB0E05: 11 p., https://doi.org/10.1029/2012GB004306.","productDescription":"GB0E05: 11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036892","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":474232,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gb004306","text":"Publisher Index 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,{"id":70041575,"text":"pp1794A7 - 2012 - Northern Rockies Ecoregion: Chapter 7 in <i>Status and trends of land change in the Western United States--1973 to 2000</i>","interactions":[],"lastModifiedDate":"2013-02-01T10:59:57","indexId":"pp1794A7","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1794-A-7","title":"Northern Rockies Ecoregion: Chapter 7 in <i>Status and trends of land change in the Western United States--1973 to 2000</i>","docAbstract":"The Northern Rockies Ecoregion (Omernik, 1987; U.S. Environmental Protection Agency, 1997) covers approximately 162,746 km<sup>2</sup> (63,200 mi<sup>2</sup>), primarily in Idaho but also including areas in western Montana and northeastern Washington (fig. 1). Canada forms the northern border of the ecoregion. To the west it is bordered by the Columbia Plateau and Blue Mountains Ecoregions, to the south by the Snake River Basin Ecoregion, and to the east by the Canadian Rockies, Middle Rockies, Northwestern Great Plains, and Northwestern Glaciated Plains Ecoregions; also to the east, the Northern Rockies Ecoregion interfingers with the Montana Valley and Foothill Prairies Ecoregion, each enclosing some isolated areas of the other (fig. 1). The ecoregion is composed of a series of high, rugged mountain ranges, mostly oriented northwest-southeast, with intermontane valleys between them (fig. 2). The entire ecoregion was glaciated during the Pleistocene (1,800,000 to 11,400 years ago), and today numerous large lakes occupy basins formed by glacial action (Omernik, 1987; Habeck and Mutch, 1973). Streams draining these mountain ranges provide a water source for many western cities and towns (fig. 3). The Continental Divide, located at the highest elevations along the northern Rocky Mountains, separates rivers that flow westward into the Columbia River watershed from those that flow eastward into the Missouri River watershed.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Status and trends of land change in the Western United States--1973 to 2000: Volume A in <i>Status and trends of land change in the United States--1973 to 2000</i> (PP 1794-A)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1794A7","collaboration":"This publication is Chapter 7 in <i>Status and trends of land change in the Western United States--1973 to 2000</i>, which is Volume A in <i>Status and trends of land change in the United States--1973 to 2000</i>, PP 1794.  Volume A consists of 30 chapters. For access to other chapters, please visit <a href=\"http://pubs.er.usgs.gov/publication/pp1794A\" target=\"_blank\">PP 1794-A</a>.","usgsCitation":"Taylor, J., 2012, Northern Rockies Ecoregion: Chapter 7 in <i>Status and trends of land change in the Western United States--1973 to 2000</i>: U.S. Geological Survey Professional Paper 1794-A-7, Chapter 7: 9 p., https://doi.org/10.3133/pp1794A7.","productDescription":"Chapter 7: 9 p.","startPage":"85","endPage":"93","additionalOnlineFiles":"Y","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":263851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1794_A_7.jpg"},{"id":263848,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1794/a/"},{"id":263849,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/pp1794a_chapter07.pdf"},{"id":263850,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/pp/1794/a/chapters/"}],"country":"United States","state":"Idaho;Montana;Washington","otherGeospatial":"Rockies","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,43.0 ], [ -120.0,49.0 ], [ -109.0,49.0 ], [ -109.0,43.0 ], [ -120.0,43.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c31e69e4b0b57f2415d202","contributors":{"authors":[{"text":"Taylor, Janis L. 0000-0002-9418-5215","orcid":"https://orcid.org/0000-0002-9418-5215","contributorId":33409,"corporation":false,"usgs":true,"family":"Taylor","given":"Janis L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":469926,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70041066,"text":"70041066 - 2012 - Moderating Argos location errors in animal tracking data","interactions":[],"lastModifiedDate":"2012-12-18T17:17:18","indexId":"70041066","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Moderating Argos location errors in animal tracking data","docAbstract":"1. The Argos System is used worldwide to satellite-track free-ranging animals, but location errors can range from tens of metres to hundreds of kilometres. Low-quality locations (Argos classes A, 0, B and Z) dominate animal tracking data. Standard-quality animal tracking locations (Argos classes 3, 2 and 1) have larger errors than those reported in Argos manuals.\n2. The Douglas Argos-filter (DAF) algorithm flags implausible locations based on user-defined thresholds that allow the algorithm's performance to be tuned to species' movement behaviours and study objectives. The algorithm is available in Movebank – a free online infrastructure for storing, managing, sharing and analysing animal movement data.\n3. We compared 21,044 temporally paired global positioning system (GPS) locations with Argos location estimates collected from Argos transmitters on free-ranging waterfowl and condors (13 species, 314 individuals, 54,895 animal-tracking days). The 95th error percentiles for unfiltered Argos locations 0, A, B and Z were within 35·8, 59·6, 163·2 and 220·2 km of the true location, respectively. After applying DAF with liberal thresholds, roughly 20% of the class 0 and A locations and 45% of the class B and Z locations were excluded, and the 95th error percentiles were reduced to 17·2, 15·0, 20·9 and 18·6 km for classes 0, A, B and Z, respectively. As thresholds were applied more conservatively, fewer locations were retained, but they possessed higher overall accuracy.\n4. Douglas Argos-filter can improve data accuracy by 50–90% and is an effective and flexible tool for preparing Argos data for direct biological interpretation or subsequent modelling.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.2041-210X.2012.00245.x","usgsCitation":"Douglas, D.C., Weinziert, R., Davidson, S.C., Kays, R., Wikelski, M., and Bohrer, G., 2012, Moderating Argos location errors in animal tracking data: Methods in Ecology and Evolution, v. 3, no. 6, p. 999-1007, https://doi.org/10.1111/j.2041-210X.2012.00245.x.","productDescription":"8 p.","startPage":"999","endPage":"1007","ipdsId":"IP-039258","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474238,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.2041-210x.2012.00245.x","text":"Publisher Index Page"},{"id":263567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263566,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.2041-210X.2012.00245.x"}],"volume":"3","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-10-10","publicationStatus":"PW","scienceBaseUri":"50d20c82e4b08b071e771baf","contributors":{"authors":[{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weinziert, Rolf","contributorId":24665,"corporation":false,"usgs":true,"family":"Weinziert","given":"Rolf","email":"","affiliations":[],"preferred":false,"id":469316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davidson, Sarah C.","contributorId":31651,"corporation":false,"usgs":true,"family":"Davidson","given":"Sarah","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":469317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kays, Roland","contributorId":83815,"corporation":false,"usgs":true,"family":"Kays","given":"Roland","affiliations":[],"preferred":false,"id":469320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":469319,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bohrer, Gil","contributorId":66569,"corporation":false,"usgs":true,"family":"Bohrer","given":"Gil","affiliations":[],"preferred":false,"id":469318,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042537,"text":"70042537 - 2012 - Sea lamprey orient toward a source of a synthesized pheromone using odor-conditioned rheotaxis","interactions":[],"lastModifiedDate":"2013-02-28T11:49:22","indexId":"70042537","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":982,"text":"Behavioral Ecology and Sociobiology","active":true,"publicationSubtype":{"id":10}},"title":"Sea lamprey orient toward a source of a synthesized pheromone using odor-conditioned rheotaxis","docAbstract":"Characterization of vertebrate chemo-orientation strategies over long distances is difficult because it is often not feasible to conduct highly controlled hypothesis-based experiments in natural environments. To overcome the challenge, we couple in-stream behavioral observations of female sea lampreys (<i>Petromyzon marinus</i>) orienting to plumes of a synthesized mating pheromone, 7a,12a,24-trihydroxy-5a-cholan-3-one-24-sulfate (3kPZS), and engineering algorithms to systematically test chemo-orientation hypotheses. In-stream field observations and simulated movements of female sea lampreys according to control algorithms support that odor-conditioned rheotaxis is a component of the mechanism used to track plumes of 3kPZS over hundreds of meters in flowing water. Simulated movements of female sea lampreys do not support that rheotaxis or klinotaxis alone is sufficient to enable the movement patterns displayed by females in locating 3kPZS sources in the experimental stream. Odor-conditioned rheotaxis may not only be effective at small spatial scales as previous described in crustaceans, but may also be effectively used by fishes over hundreds of meters. These results may prove useful for developing management strategies for the control of invasive species that exploit the odor-conditioned tracking behavior and for developing biologically inspired navigation strategies for robotic fish.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Behavioral Ecology and Sociobiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00265-012-1409-1","usgsCitation":"Johnson, N.S., Muhammad, A., Thompson, H., Choi, J., and Li, W., 2012, Sea lamprey orient toward a source of a synthesized pheromone using odor-conditioned rheotaxis: Behavioral Ecology and Sociobiology, v. 66, no. 12, p. 1557-1567, https://doi.org/10.1007/s00265-012-1409-1.","productDescription":"11 p.","startPage":"1557","endPage":"1567","numberOfPages":"11","ipdsId":"IP-025659","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268547,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00265-012-1409-1"}],"country":"United States","volume":"66","issue":"12","noUsgsAuthors":false,"publicationDate":"2012-09-22","publicationStatus":"PW","scienceBaseUri":"51308a9de4b04c194073ae50","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhammad, Azizah","contributorId":32054,"corporation":false,"usgs":true,"family":"Muhammad","given":"Azizah","email":"","affiliations":[],"preferred":false,"id":471726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Henry","contributorId":100705,"corporation":false,"usgs":true,"family":"Thompson","given":"Henry","affiliations":[],"preferred":false,"id":471729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choi, Jongeun","contributorId":84229,"corporation":false,"usgs":true,"family":"Choi","given":"Jongeun","affiliations":[],"preferred":false,"id":471728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":471727,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041367,"text":"70041367 - 2012 - Influences on <i>Bythotrephes longimanus</i> life-history characteristics in the Great Lakes","interactions":[],"lastModifiedDate":"2012-12-04T11:38:59","indexId":"70041367","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","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":"Influences on <i>Bythotrephes longimanus</i> life-history characteristics in the Great Lakes","docAbstract":"We compared <i>Bythotrephes</i> population demographics and dynamics to predator (planktivorous fish) and prey (small-bodied crustacean zooplankton) densities at a site sampled through the growing season in Lakes Michigan, Huron, and Erie. Although seasonal average densities of <i>Bythotrephes</i> were similar across lakes (222/m<sup>2</sup> Erie, 247/m<sup>2</sup> Huron, 162/m<sup>2</sup> Michigan), temporal trends in abundance differed among lakes. In central Lake Erie where <i>Bythotrephes</i>' prey assemblage was dominated by small individuals (60%), where planktivorous fish densities were high (14,317/ha), and where a shallow water column limited availability of a deepwater refuge, the <i>Bythotrephes</i> population was characterized by a small mean body size, large broods with small neonates, allocation of length increases mainly to the spine rather than to the body, and a late summer population decline. By contrast, in Lake Michigan where <i>Bythotrephes</i>' prey assemblage was dominated by large individuals (72%) and planktivorous fish densities were lower (5052/ha), the <i>Bythotrephes</i> population was characterized by a large mean body size (i.e., 37–55% higher than in Erie), small broods with large neonates, nearly all growth in body length occurring between instars 1 and 2, and population persistence into fall. Life-history characteristics in Lake Huron tended to be intermediate to those found in Lakes Michigan and Erie, reflecting lower overall prey and predator densities (1224/ha) relative to the other lakes. Because plasticity in life history can affect interactions with other species, our findings point to the need to understand life-history variation among Great Lakes populations to improve our ability to model the dynamics of these ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jglr.2011.10.003","usgsCitation":"Pothoven, S.A., Vanderploeg, H., Warner, D.M., Schaeffer, J.S., Ludsin, S.A., Claramunt, R., and Nalepa, T., 2012, Influences on <i>Bythotrephes longimanus</i> life-history characteristics in the Great Lakes: Journal of Great Lakes Research, v. 38, no. 1, p. 134-141, https://doi.org/10.1016/j.jglr.2011.10.003.","productDescription":"8 p.","startPage":"134","endPage":"141","ipdsId":"IP-030718","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":263670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263668,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2011.10.003"}],"country":"United States;Canada","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.88 ], [ -76.0002,48.88 ], [ -76.0002,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"38","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfbd9ce4b01744973f780c","contributors":{"authors":[{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vanderploeg, Henry A.","contributorId":85929,"corporation":false,"usgs":true,"family":"Vanderploeg","given":"Henry A.","affiliations":[],"preferred":false,"id":469634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":469631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaeffer, Jeffrey S.","contributorId":89083,"corporation":false,"usgs":true,"family":"Schaeffer","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":469635,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ludsin, Stuart A.","contributorId":96978,"corporation":false,"usgs":true,"family":"Ludsin","given":"Stuart","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469637,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Claramunt, Randall M.","contributorId":19047,"corporation":false,"usgs":true,"family":"Claramunt","given":"Randall M.","affiliations":[],"preferred":false,"id":469632,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nalepa, Thomas F.","contributorId":28212,"corporation":false,"usgs":true,"family":"Nalepa","given":"Thomas F.","affiliations":[],"preferred":false,"id":469633,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70043308,"text":"70043308 - 2012 - Trends in Benthic macroinvertebrate community Biomass and Energy Budgets in Lake Sevan, 1928-2004","interactions":[],"lastModifiedDate":"2013-04-17T21:16:29","indexId":"70043308","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Trends in Benthic macroinvertebrate community Biomass and Energy Budgets in Lake Sevan, 1928-2004","docAbstract":"Water levels of Lake Sevan (Armenia) were artificially lowered by nearly 20 m between 1949 and 1997. Lowered water levels, combined with increased eutrophication, were associated with seasonally anoxic conditions (lasting 1–4 months) near the bottom of the profundal zone each year during 1976–2004. In addition, the extents of the macrophyte zone and of certain substrate types were severely reduced following drawdown. Maximal depth of occurrence decreased by 2–44 m for at least for 50 species of benthic macroinvertebrates between 1982 and 2004 compared to 1937–1961. Species richness of benthic macroinvertebrates declined from 25 to three species at depths where seasonal anoxia occurred. Total biomass increased by a factor of 10 from the period 1928–1948 to 1976–1979 then declined by a factor of 3 to 4 between 1987 and 2004. Energy flow through detritivores was more than tripled during 1976–2004 compared to 1928–1971, a result of increased plankton primary production. In contrast, energy flow through herbivorous benthic macroinvertebrates decreased by a factor of nearly 5, due to reduced areal coverage of macrophytes. Energy flow through filter feeders did not change over the time period examined, but energy flow through the entire zoobenthos community was nearly tripled. The biomasses of Oligochaeta, Chironomidae, and total zoobenthos showed a delayed response to changes in primary production of 7–9, 2, and 2–4 years, respectively. These patterns may provide a basis to predict results of restoration efforts based on the abundance of the zoobenthos in future years as the level of the lake is restored and water quality improves.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10661-011-2449-0","usgsCitation":"Stapanian, M.A., Jenderedjian, K., and Hakobyan, S., 2012, Trends in Benthic macroinvertebrate community Biomass and Energy Budgets in Lake Sevan, 1928-2004: Environmental Monitoring and Assessment, v. 184, no. 11, p. 6647-6671, https://doi.org/10.1007/s10661-011-2449-0.","startPage":"6647","endPage":"6671","ipdsId":"IP-027575","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":271042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271041,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-011-2449-0"}],"country":"United States","volume":"184","issue":"11","noUsgsAuthors":false,"publicationDate":"2011-12-27","publicationStatus":"PW","scienceBaseUri":"516fc469e4b05024ef3cd42a","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":473358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenderedjian, K.","contributorId":25838,"corporation":false,"usgs":true,"family":"Jenderedjian","given":"K.","email":"","affiliations":[],"preferred":false,"id":473359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hakobyan, S.","contributorId":66149,"corporation":false,"usgs":true,"family":"Hakobyan","given":"S.","email":"","affiliations":[],"preferred":false,"id":473360,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043769,"text":"70043769 - 2012 - Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering","interactions":[],"lastModifiedDate":"2013-06-07T11:31:03","indexId":"70043769","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering","docAbstract":"Lacustrine sedimentary successions provide exceptionally high-resolution records of continental geological processes, responding to tectonic, climatic and magmatic influences. These successions are therefore essential for correlating geological and climatic phenomena across continents and furthermore the globe. Producing accurate geochronological frameworks within lacustrine strata is challenging because the stratigraphy is often bereft of biostratigraphy and directly dateable tuff horizons. The rhenium–osmium (Re–Os) geochronometer is a well-established tool for determining precise and accurate depositional ages of marine organic-rich rocks. Lake systems with stratified water columns are predisposed to the preservation of organic-rich rocks and thus should permit direct Re–Os geochronology of lacustrine strata. We present Re–Os systematics from one of the world's best documented lacustrine systems, the Eocene Green River Formation, providing accurate Re–Os depositional dates that are supported by Ar–Ar and U–Pb ages of intercalated tuff horizons. Precision of the Green River Formation Re–Os dates is controlled by the variation in initial <sup>187</sup>Os/<sup>188</sup>Os and the range of <sup>187</sup>Re/<sup>188</sup>Os ratios, as also documented in marine systems. Controls on uptake and fractionation of Re and Os are considered to relate mainly to depositional setting and the type of organic matter deposited, with the need to further understand the chelating precursors of Re and Os in organic matter highlighted. In addition to geochronology, the Re–Os data records the 187Os/188Os composition of lake water (1.41–1.54) at the time of deposition, giving an insight into continental runoff derived from weathering of the geological hinterland of the Green River Formation. Such insights enable us to evaluate fluctuations in continental climatic, tectonic and magmatic processes and provide the ability for chemostratigraphic correlation combined with direct depositional dates. Furthermore, initial 187Os/188Os values can be used as a diagnostic tool to distinguish between lacustrine and marine depositional settings when compared to known oceanic <sup>187</sup>Os/<sup>188</sup>Os values.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2012.10.012","usgsCitation":"Cumming, V.M., Selby, D., and Lillis, P.G., 2012, Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering: Earth and Planetary Science Letters, v. 359-360, https://doi.org/10.1016/j.epsl.2012.10.012.","numberOfPages":"34","ipdsId":"IP-035807","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":488173,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1498377","text":"External Repository"},{"id":273446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267778,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2012.10.012"}],"country":"United States","state":"Colorado;Utah;Wyoming","otherGeospatial":"Greater Green River Basin;Uinta Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.01638888888888889,8.333333333333334E-4 ] ] ] } } ] }","volume":"359-360","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e7e4b01368e589e3fc","contributors":{"authors":[{"text":"Cumming, Vivien M.","contributorId":69044,"corporation":false,"usgs":true,"family":"Cumming","given":"Vivien","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selby, David","contributorId":58167,"corporation":false,"usgs":true,"family":"Selby","given":"David","affiliations":[],"preferred":false,"id":474224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lillis, Paul G. 0000-0002-7508-1699 plillis@usgs.gov","orcid":"https://orcid.org/0000-0002-7508-1699","contributorId":1817,"corporation":false,"usgs":true,"family":"Lillis","given":"Paul","email":"plillis@usgs.gov","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":474223,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042663,"text":"70042663 - 2012 - Individual condition and stream temperature influence early maturation of rainbow and steelhead trout, <i></i>ncorhynchus mykiss","interactions":[],"lastModifiedDate":"2017-02-21T14:38:38","indexId":"70042663","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Individual condition and stream temperature influence early maturation of rainbow and steelhead trout, <i></i>ncorhynchus mykiss","docAbstract":"<p>Alternative male phenotypes in salmonine fishes arise from individuals that mature as larger and older anadromous marine-migrants or as smaller and younger freshwater residents. To better understand the processes influencing the expression of these phenotypes we examined the influences of growth in length (fork length) and whole body lipid content in rainbow trout (<i>Oncorhynchus mykiss</i>). Fish were sampled from the John Day River basin in northeast Oregon where both anadromous (\"steelhead\") and freshwater resident rainbow trout coexist. Larger males with higher lipid levels had a greater probability of maturing as a resident at age-1+. Among males, 38% were maturing overall, and the odds ratios of the logistic model indicated that the probability of a male maturing early as a resident at age-1+ increased 49% (95% confidence interval (CI) = 23-81%) for every 5 mm increase in length and 33% (95% CI = 10-61%) for every 0.5% increase in whole body lipid content. There was an inverse association between individual condition and water temperature as growth was greater in warmer streams while whole body lipid content was higher in cooler streams. Our results support predictions from life history theory and further suggest that relationships between individual condition, maturation, and environmental variables (e.g., water temperature) are shaped by complex developmental and evolutionary influences.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10641-011-9921-0","usgsCitation":"McMillan, J.R., Dunham, J., Reeves, G.H., Mills, J.S., and Jordan, C.E., 2012, Individual condition and stream temperature influence early maturation of rainbow and steelhead trout, <i></i>ncorhynchus mykiss: Environmental Biology of Fishes, v. 93, no. 3, p. 343-355, https://doi.org/10.1007/s10641-011-9921-0.","productDescription":"13 p.","startPage":"343","endPage":"355","ipdsId":"IP-034205","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":267975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"John Day River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.78369140624999,\n              43.644025847699496\n            ],\n            [\n              -117.80639648437499,\n              43.644025847699496\n            ],\n            [\n              -117.80639648437499,\n              45.71385093029221\n            ],\n            [\n              -120.78369140624999,\n              45.71385093029221\n            ],\n            [\n              -120.78369140624999,\n              43.644025847699496\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"93","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-09-07","publicationStatus":"PW","scienceBaseUri":"5129f32de4b04edf7e93f8e8","contributors":{"authors":[{"text":"McMillan, John R.","contributorId":27905,"corporation":false,"usgs":true,"family":"McMillan","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":472020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":472023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Gordon H.","contributorId":101521,"corporation":false,"usgs":false,"family":"Reeves","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"preferred":false,"id":472021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mills, Justin S.","contributorId":56944,"corporation":false,"usgs":true,"family":"Mills","given":"Justin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":472019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jordan, Chris E.","contributorId":88233,"corporation":false,"usgs":true,"family":"Jordan","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":472022,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041063,"text":"70041063 - 2012 - Bioenergetics model for estimating food requirements of female Pacific walruses (<i>Odobenus rosmarus divergens</i>)","interactions":[],"lastModifiedDate":"2018-08-20T20:04:51","indexId":"70041063","displayToPublicDate":"2012-11-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Bioenergetics model for estimating food requirements of female Pacific walruses (<i>Odobenus rosmarus divergens</i>)","docAbstract":"Pacific walruses Odobenus rosmarus divergens use sea ice as a platform for resting, nursing, and accessing extensive benthic foraging grounds. The extent of summer sea ice in the Chukchi Sea has decreased substantially in recent decades, causing walruses to alter habitat use and activity patterns which could affect their energy requirements. We developed a bioenergetics model to estimate caloric demand of female walruses, accounting for maintenance, growth, activity (active in-water and hauled-out resting), molt, and reproductive costs. Estimates for non-reproductive females 0–12 yr old (65−810 kg) ranged from 16359 to 68960 kcal d<sup>−1</sup> (74−257 kcal d<sup>−1</sup> kg<sup>−1</sup>) for years with readily available sea ice for which we assumed animals spent 83% of their time in water. This translated into the energy content of 3200–5960 clams per day, equivalent to 7–8% and 14–9% of body mass per day for 5–12 and 2–4 yr olds, respectively. Estimated consumption rates of 12 yr old females were minimally affected by pregnancy, but lactation had a large impact, increasing consumption rates to 15% of body mass per day. Increasing the proportion of time in water to 93%, as might happen if walruses were required to spend more time foraging during ice-free periods, increased daily caloric demand by 6–7% for non-lactating females. We provide the first bioenergetics-based estimates of energy requirements for walruses and a first step towards establishing bioenergetic linkages between demography and prey requirements that can ultimately be used in predicting this population’s response to environmental change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","publisherLocation":"Oldendorf/Luhe, Germany","doi":"10.3354/meps09706","usgsCitation":"Noren, S., Udevitz, M.S., and Jay, C., 2012, Bioenergetics model for estimating food requirements of female Pacific walruses (<i>Odobenus rosmarus divergens</i>): Marine Ecology Progress Series, v. 460, p. 261-275, https://doi.org/10.3354/meps09706.","productDescription":"15 p.","startPage":"261","endPage":"275","ipdsId":"IP-036187","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps09706","text":"Publisher Index Page"},{"id":263526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263525,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps09706"}],"volume":"460","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50d89a7ce4b0af4069e415c1","contributors":{"authors":[{"text":"Noren, S.R.","contributorId":78218,"corporation":false,"usgs":true,"family":"Noren","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":469313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jay, C.V. 0000-0002-9559-2189","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":67827,"corporation":false,"usgs":true,"family":"Jay","given":"C.V.","affiliations":[],"preferred":false,"id":469312,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041039,"text":"70041039 - 2012 - Behavioral vs. molecular sources of conflict between nuclear and mitochondrial DNA: The role of male-biased dispersal in a Holarctic sea duck","interactions":[],"lastModifiedDate":"2018-07-14T13:50:12","indexId":"70041039","displayToPublicDate":"2012-11-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral vs. molecular sources of conflict between nuclear and mitochondrial DNA: The role of male-biased dispersal in a Holarctic sea duck","docAbstract":"Genetic studies of waterfowl (Anatidae) have observed the full spectrum of mitochondrial (mt) DNA population divergence, from apparent panmixia to deep, reciprocally monophyletic lineages. Yet, these studies often found weak or no nuclear (nu) DNA structure, which was often attributed to male-biased gene flow, a common behaviour within this family. An alternative explanation for this ‘conflict’ is that the smaller effective population size and faster sorting rate of mtDNA relative to nuDNA lead to different signals of population structure. We tested these alternatives by sequencing 12 nuDNA introns for a Holarctic pair of waterfowl subspecies, the European goosander (<i>Mergus merganser merganser</i>) and the North American common merganser (<i>M. m. americanus</i>), which exhibit strong population structure in mtDNA. We inferred effective population sizes, gene flow and divergence times from published mtDNA sequences and simulated expected differentiation for nuDNA based on those histories. Between Europe and North America, nuDNA Ф<sub><i>ST</i></sub> was 3.4-fold lower than mtDNA Ф<sub><i>ST</i></sub>, a result consistent with differences in sorting rates. However, despite geographically structured and monophyletic mtDNA lineages within continents, nuDNA Ф<sub><i>ST</i></sub> values were generally zero and significantly lower than predicted. This between- and within-continent contrast held when comparing mtDNA and nuDNA among published studies of ducks. Thus, male-mediated gene flow is a better explanation than slower sorting rates for limited nuDNA differentiation within continents, which is also supported by nonmolecular data. This study illustrates the value of quantitatively testing discrepancies between mtDNA and nuDNA to reject the null hypothesis that conflict simply reflects different sorting rates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Molecular Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1365-294X.2012.05612.x","usgsCitation":"Peters, J.L., Bolender, K.A., and Pearce, J.M., 2012, Behavioral vs. molecular sources of conflict between nuclear and mitochondrial DNA: The role of male-biased dispersal in a Holarctic sea duck: Molecular Ecology, v. 21, no. 14, p. 3562-3575, https://doi.org/10.1111/j.1365-294X.2012.05612.x.","productDescription":"14 p.","startPage":"3562","endPage":"3575","ipdsId":"IP-036527","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":263524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263519,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-294X.2012.05612.x"}],"volume":"21","issue":"14","noUsgsAuthors":false,"publicationDate":"2012-05-14","publicationStatus":"PW","scienceBaseUri":"50d88991e4b0af4069e40c3e","contributors":{"authors":[{"text":"Peters, Jeffrey L.","contributorId":34402,"corporation":false,"usgs":true,"family":"Peters","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolender, Kimberly A.","contributorId":62492,"corporation":false,"usgs":true,"family":"Bolender","given":"Kimberly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":469226,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041044,"text":"70041044 - 2012 - Effects of sea ice on winter site fidelity of Pacific common eiders (<i>Somateria mollissima v-nigrum</i>)","interactions":[],"lastModifiedDate":"2018-07-15T10:46:33","indexId":"70041044","displayToPublicDate":"2012-11-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Effects of sea ice on winter site fidelity of Pacific common eiders (<i>Somateria mollissima v-nigrum</i>)","docAbstract":"In northern marine habitats, the presence or absence of sea ice results in variability in the distribution of many species and the quality and availability of pelagic winter habitat. To understand the effects of ice on intra- and inter-annual winter site fidelity and movements in a northern sea-duck species, we marked 25 adult Pacific Common Eiders (<i>Somateria mollissima v-nigrum</i>) on their nesting area at Cape Espenberg, Alaska, with satellite transmitters and monitored their movements to their wintering areas in the northern Bering Sea for a 2-year period. We examined changes in winter fidelity in relation to home-range characteristics and ice. Characteristics of polynyas (areas with persistent open water during winter) varied substantially and likely had an effect on the size of winter ranges and movements within polynyas. Movements within polynyas were correlated with changes in weather that affected ice conditions. Ninety-five percent of individuals were found within their 95% utilization distribution (UD) of the previous year, and 90% were found within their 50% UD. Spatial distributions of winter locations between years changed for 32% of the individuals; however, we do not consider these subtle movements biologically significant. Although ice conditions varied between polynyas within and between years, the Common Eiders monitored in our study showed a high degree of fidelity to their winter areas. This observation is counterintuitive, given the requirement that resources are predictable for site fidelity to occur; however, ice may not have been severe enough to restrict access to other resources and, subsequently, force birds to move.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2012.11256","usgsCitation":"Petersen, M.R., Douglas, D.C., Wilson, H.M., and McCloskey, S.E., 2012, Effects of sea ice on winter site fidelity of Pacific common eiders (<i>Somateria mollissima v-nigrum</i>): The Auk, v. 129, no. 3, p. 399-408, https://doi.org/10.1525/auk.2012.11256.","productDescription":"10 p.","startPage":"399","endPage":"408","ipdsId":"IP-036886","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2012.11256","text":"Publisher Index Page"},{"id":263553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Cape Espenberg","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"129","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50db4a98e4b0612706009f1b","contributors":{"authors":[{"text":"Petersen, Margaret R. 0000-0001-6082-3189 mrpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-6082-3189","contributorId":167729,"corporation":false,"usgs":true,"family":"Petersen","given":"Margaret","email":"mrpetersen@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":469244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Heather M.","contributorId":37056,"corporation":false,"usgs":false,"family":"Wilson","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":13236,"text":"U.S. Fish and Wildlife Service, Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":469247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCloskey, Sarah E. smccloskey@usgs.gov","contributorId":22649,"corporation":false,"usgs":true,"family":"McCloskey","given":"Sarah","email":"smccloskey@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":469246,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041260,"text":"70041260 - 2012 - Toxicity of waters from the St. Lawrence River at Massena Area-of-Concern to the plankton species <i>Selenastrum capricornutum</i> and <i>Ceriodaphnia dubia</i>","interactions":[],"lastModifiedDate":"2012-12-01T16:55:20","indexId":"70041260","displayToPublicDate":"2012-11-30T00:00:00","publicationYear":"2012","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":"Toxicity of waters from the St. Lawrence River at Massena Area-of-Concern to the plankton species <i>Selenastrum capricornutum</i> and <i>Ceriodaphnia dubia</i>","docAbstract":"In 1972, the US and Canada committed to restore the chemical, physical, and biological integrity of the Great Lakes Ecosystem under the first Great Lakes Water Quality Agreement. During subsequent amendments, part of the St. Lawrence River at Massena NY, and segments of three tributaries, were designated as one Area of Concern (AOC) due to various beneficial use impairments (BUIs). Plankton beneficial use was designated impaired within this AOC because phytoplankton and zooplankton population data were unavailable or needed “further assessment”. Contaminated sediments from industrial waste disposal have been largely remediated, thus, the plankton BUI may currently be obsolete. The St. Lawrence River at Massena AOC remedial action plan established two criteria which may be used to assess the plankton BUI; the second states that, “in the absence of community structure data, plankton bioassays confirm no toxicity impact in ambient waters”. This study was implemented during 2011 to determine whether this criterion was achieved. Acute toxicity and chronic toxicity of local waters were quantified seasonally using standardized bioassays with green alga <i>Selenastrum capricornutum</i> and water flea <i>Ceriodaphnia dubia</i> to test the hypothesis that waters from sites within the AOC were no more toxic than were waters from adjacent reference sites. The results of univariate and multivariate analyses confirm that ambient waters from most AOC sites (and seasons) were not toxic to both species. Assuming both test species represent natural plankton assemblages, the quality of surface waters throughout most of this AOC should not seriously impair the health of resident plankton communities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Ann Arbor, MI","doi":"10.1016/j.jglr.2012.09.008","usgsCitation":"Baldigo, B.P., Duffy, B.T., Nally, C.J., and David, A.M., 2012, Toxicity of waters from the St. Lawrence River at Massena Area-of-Concern to the plankton species <i>Selenastrum capricornutum</i> and <i>Ceriodaphnia dubia</i>: Journal of Great Lakes Research, v. 38, no. 4, p. 812-820, https://doi.org/10.1016/j.jglr.2012.09.008.","productDescription":"9 p.","startPage":"812","endPage":"820","ipdsId":"IP-035122","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":263543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263542,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2012.09.008"}],"country":"Canada;United States","state":"New York","city":"Massena","otherGeospatial":"Great Lakes;St. Lawrence River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.0,42.0 ], [ -80.0,47.0 ], [ -70.0,47.0 ], [ -70.0,42.0 ], [ -80.0,42.0 ] ] ] } } ] }","volume":"38","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e553e3e4b0a4aa5bb0221f","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffy, Brian T.","contributorId":6352,"corporation":false,"usgs":true,"family":"Duffy","given":"Brian","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":469473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nally, Christopher J.","contributorId":24254,"corporation":false,"usgs":true,"family":"Nally","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"David, Anthony M.","contributorId":36032,"corporation":false,"usgs":true,"family":"David","given":"Anthony","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469475,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041141,"text":"ofr20121245 - 2012 - Linking physical monitoring to coho and Chinook salmon populations in the Redwood Creek Watershed, California—Summary of May 3–4, 2012 Workshop","interactions":[],"lastModifiedDate":"2018-03-21T14:40:08","indexId":"ofr20121245","displayToPublicDate":"2012-11-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1245","title":"Linking physical monitoring to coho and Chinook salmon populations in the Redwood Creek Watershed, California—Summary of May 3–4, 2012 Workshop","docAbstract":"On Thursday, May 3, 2012, a science workshop was held at the Redwood National and State Parks (RNSP) office in Arcata, California, with researchers and resource managers working in RNSP to share data and expert opinions concerning salmon populations and habitat in the Redwood Creek watershed. The focus of the workshop was to discuss how best to synthesize physical and biological data related to the freshwater and estuarine phases of salmon life cycles in order to increase the understanding of constraints on salmon populations. The workshop was hosted by the U.S. Geological Survey (USGS) Status and Trends (S&T) Program National Park Monitoring Project (<a href=\"http://www.fort.usgs.gov/brdscience/ParkMonitoring.htm\" target=\"_blank\">http://www.fort.usgs.gov/brdscience/ParkMonitoring.htm</a>), which supports USGS research on priority topics (themes) identified by the National Park Service (NPS) Inventory and Monitoring Program (I&M) and S&T. The NPS has organized more than 270 parks with significant natural resources into 32 Inventory and Monitoring (I&M) Networks (<a href=\"http://science.nature.nps.gov/im/networks.cfm\" target=\"_blank\">http://science.nature.nps.gov/im/networks.cfm</a>) that share funding and core professional staff to monitor the status and long-term trends of selected natural resources (<a href=\"http://science.nature.nps.gov/im/monitor\" target=\"_blank\">http://science.nature.nps.gov/im/monitor</a>). All 32 networks have completed vital signs monitoring plans (available at <a href=\"http://science.nature.nps.gov/im/monitor/MonitoringPlans.cfm\" target=\"_blank\">http://science.nature.nps.gov/im/monitor/MonitoringPlans.cfm</a>), containing background information on the important resources of each park, conceptual models behind the selection of vital signs for monitoring the condition of natural resources, and the selection of high priority vital signs for monitoring. Vital signs are particular physical, chemical, and biological elements and processes of park ecosystems that represent the overall health or condition of the park, known or hypothesized effects of stressors, or elements that have important human values (Fancy and others, 2009). Beginning in 2009, the I&M program funded projects to analyze and synthesize the biotic and abiotic data generated by vital signs monitoring and previous in-park natural resource monitoring and inventories to provide useful information, models, and tools to park managers for addressing resource management issues. The workshop described in this report is an element of the project funded by USGS NPS-I&M program to conduct a synthesis of salmon-related datasets in the Klamath (KLMN) and San Francisco Bay Area (SFAN) networks of national parks. The synthesis focused on four park units: Redwood National Park (KLMN), Point Reyes National Seashore, Muir Woods National Monument, and Golden Gate National Recreation Area (SFAN).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121245","usgsCitation":"Madej, M.A., Torregrosa, A.A., and Woodward, A., 2012, Linking physical monitoring to coho and Chinook salmon populations in the Redwood Creek Watershed, California—Summary of May 3–4, 2012 Workshop: U.S. Geological Survey Open-File Report 2012-1245, iv, 24 p., https://doi.org/10.3133/ofr20121245.","productDescription":"iv, 24 p.","numberOfPages":"32","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":263490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1245.jpg"},{"id":263488,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1245/"},{"id":263489,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1245/pdf/ofr20121245.pdf"}],"country":"United States","state":"California","city":"Arcata;Orick","otherGeospatial":"Olema Creek;Redwood National And State Parks","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.16,41.0 ], [ -124.16,41.84 ], [ -123.85,41.84 ], [ -123.85,41.0 ], [ -124.16,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50df8f40e4b0dfbe79e6d863","contributors":{"authors":[{"text":"Madej, Mary Ann 0000-0003-2831-3773 mary_ann_madej@usgs.gov","orcid":"https://orcid.org/0000-0003-2831-3773","contributorId":40304,"corporation":false,"usgs":true,"family":"Madej","given":"Mary","email":"mary_ann_madej@usgs.gov","middleInitial":"Ann","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":469447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":469446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":469445,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041101,"text":"sim3223 - 2012 - Under trees and water at Crater Lake National Park, Oregon","interactions":[],"lastModifiedDate":"2019-05-30T13:27:19","indexId":"sim3223","displayToPublicDate":"2012-11-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3223","title":"Under trees and water at Crater Lake National Park, Oregon","docAbstract":"Crater Lake partially fills the caldera that formed approximately 7,700 years ago during the eruption of a 12,000-ft-high volcano known as Mount Mazama. The caldera-forming, or climactic, eruption of Mount Mazama devastated the surrounding landscape, left a thick deposit of pumice and ash in adjacent valleys, and spread a blanket of volcanic ash as far away as southern Canada. Prior to the climactic event, Mount Mazama had a 400,000-year history of volcanic activity similar to other large Cascade volcanoes such as Mounts Shasta, Hood, and Rainier. Since the caldera formed, many smaller, less violent eruptions occurred at volcanic vents below Crater Lake's surface, including Wizard Island. A survey of Crater Lake National Park with airborne LiDAR (Light Detection And Ranging) resulted in a digital elevation map of the ground surface beneath the forest canopy. The average resolution is 1.6 laser returns per square meter yielding vertical and horizontal accuracies of &plusmn;5 cm. The map of the floor beneath the surface of the 1,947-ft-deep (593-m-deep) Crater Lake was developed from a multibeam sonar bathymetric survey and was added to the map to provide a continuous view of the landscape from the highest peak on Mount Scott to the deepest part of Crater Lake. Four enlarged shaded-relief views provide a sampling of features that illustrate the resolution of the LiDAR survey and illustrate its utility in revealing volcanic landforms and subtle features of the climactic eruption deposits. LiDAR's high precision and ability to \"see\" through the forest canopy reveal features that may not be easily recognized-even when walked over-because their full extent is hidden by vegetation, such as the 1-m-tall arcuate scarp near Castle Creek.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3223","usgsCitation":"Robinson, J., Bacon, C.R., and Wayne, C., 2012, Under trees and water at Crater Lake National Park, Oregon: U.S. Geological Survey Scientific Investigations Map 3223, 1 Map sheet: 38.50 x 27.00 inches, https://doi.org/10.3133/sim3223.","productDescription":"1 Map sheet: 38.50 x 27.00 inches","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":619,"text":"Volcano Science Center-Menlo Park","active":false,"usgs":true}],"links":[{"id":263475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3223.gif"},{"id":263474,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/dds/dds-72/"},{"id":263471,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3223/"},{"id":263472,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3223/sim3223.pdf"},{"id":263473,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/716/"}],"country":"United States","state":"Oregon","otherGeospatial":"Crater Lake National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.3,42.77 ], [ -122.3,43.09 ], [ -121.97,43.09 ], [ -121.97,42.77 ], [ -122.3,42.77 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e55d18e4b0a4aa5bb03915","contributors":{"authors":[{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bacon, Charles R. 0000-0002-2165-5618 cbacon@usgs.gov","orcid":"https://orcid.org/0000-0002-2165-5618","contributorId":2909,"corporation":false,"usgs":true,"family":"Bacon","given":"Charles","email":"cbacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wayne, Chris","contributorId":39266,"corporation":false,"usgs":true,"family":"Wayne","given":"Chris","email":"","affiliations":[],"preferred":false,"id":469437,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041128,"text":"ofr20121227 - 2012 - Hydrostratigraphic interpretation of test-hole and surface geophysical data, Elkhorn and Loup River Basins, Nebraska, 2008 to 2011","interactions":[],"lastModifiedDate":"2012-11-29T14:36:20","indexId":"ofr20121227","displayToPublicDate":"2012-11-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1227","title":"Hydrostratigraphic interpretation of test-hole and surface geophysical data, Elkhorn and Loup River Basins, Nebraska, 2008 to 2011","docAbstract":"The Elkhorn-Loup Model (ELM) was begun in 2006 to understand the effect of various groundwater-management scenarios on surface-water resources. During phase one of the ELM study, a lack of subsurface geological information was identified as a data gap. Test holes drilled to the base of the aquifer in the ELM study area are spaced as much as 25 miles apart, especially in areas of the western Sand Hills. Given the variable character of the hydrostratigraphic units that compose the High Plains aquifer system, substantial variation in aquifer thickness and characteristics can exist between test holes. To improve the hydrogeologic understanding of the ELM study area, the U.S. Geological Survey, in cooperation with the Nebraska Department of Natural Resources, multiple Natural Resources Districts participating in the ELM study, and the University of Nebraska-Lincoln Conservation and Survey Division, described the subsurface lithology at six test holes drilled in 2010 and concurrently collected borehole geophysical data to identify the base of the High Plains aquifer system. A total of 124 time-domain electromagnetic (TDEM) soundings of resistivity were collected at and between selected test-hole locations during 2008-11 as a quick, non-invasive means of identifying the base of the High Plains aquifer system. Test-hole drilling and geophysical logging indicated the base-of-aquifer elevation was less variable in the central ELM area than in previously reported results from the western part of the ELM study area, where deeper paleochannels were eroded into the Brule Formation. In total, more than 435 test holes were examined and compared with the modeled-TDEM soundings. Even where present, individual stratigraphic units could not always be identified in modeled-TDEM sounding results if sufficient resistivity contrast was not evident; however, in general, the base of aquifer [top of the aquifer confining unit (ACU)] is one of the best-resolved results from the TDEM-based models, and estimates of the base-of-aquifer elevation are in good accordance with those from existing test-hole data. Differences between ACU elevations based on modeled-TDEM and test-hole data ranged from 2 to 113 feet (0.6 to 34 meters). The modeled resistivity results reflect the eastward thinning of Miocene-age and older stratigraphic units, and generally allowed confident identification of the accompanying change in the stratigraphic unit forming the ACU. The differences in elevation of the top of the Ogallala, estimated on the basis of the modeled-TDEM resistivity, and the test-hole data ranged from 11 to 251 feet (3.4 to 77 meters), with two-thirds of model results being within 60 feet of the test-hole contact elevation. The modeled-TDEM soundings also provided information regarding the distribution of Plio-Pleistocene gravel deposits, which had an average thickness of 100 feet (30 meters) in the study area; however, in many cases the contact between the Plio-Pleistocene deposits and the overlying Quaternary deposits cannot be reliably distinguished using TDEM soundings alone because of insufficient thickness or resistivity contrast.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121227","collaboration":"Prepared in cooperation with the Nebraska Department of Natural Resources; and the Upper Elkhorn, Lower Elkhorn, Upper Loup, Lower Loup, Middle Niobrara, Lower Niobrara, Lewis and Clark, and Lower Platte North Natural Resources Districts; and the University of Nebraska-Lincoln Conservation and Survey Division","usgsCitation":"Hobza, C.M., Bedrosian, P.A., and Bloss, B., 2012, Hydrostratigraphic interpretation of test-hole and surface geophysical data, Elkhorn and Loup River Basins, Nebraska, 2008 to 2011: U.S. Geological Survey Open-File Report 2012-1227, Report: x, 95 p.; Supplemental Data, https://doi.org/10.3133/ofr20121227.","productDescription":"Report: x, 95 p.; Supplemental Data","numberOfPages":"110","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-037355","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":263482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1227.gif"},{"id":263481,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1227/downloads/Supplemental_Data.xlsx"},{"id":263478,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1227/"},{"id":263479,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1227/of2012-1227.pdf"}],"scale":"100000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Nebraska","otherGeospatial":"Elkhorn And Loup River Basins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.5,40.0 ], [ -102.5,43.0 ], [ -97.0,43.0 ], [ -97.0,40.0 ], [ -102.5,40.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50df06b5e4b0dfbe79e687ab","contributors":{"authors":[{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":469442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloss, Benjamin R.","contributorId":19446,"corporation":false,"usgs":true,"family":"Bloss","given":"Benjamin R.","affiliations":[],"preferred":false,"id":469444,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040738,"text":"70040738 - 2012 - Expanded stream gauging includes groundwater data and trends","interactions":[],"lastModifiedDate":"2013-01-18T14:46:11","indexId":"70040738","displayToPublicDate":"2012-11-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Expanded stream gauging includes groundwater data and trends","docAbstract":"Population growth has increased water scarcity to the point that documenting current amounts of worldwide water resources is now as critical as any data collection in the Earth sciences. As a key element of this data collection, stream gauges yield continuous hydrologic information and document long-term trends, recording high-frequency hydrologic information over decadal to centennial time frames.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Eos, Transactions American Geophysical Union","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012EO480002","usgsCitation":"Constantz, J., Barlow, J.R., Eddy-Miller, C., Caldwell, R.R., and Wheeler, J.D., 2012, Expanded stream gauging includes groundwater data and trends: Eos, Transactions, American Geophysical Union, v. 93, no. 48, p. 497-497, https://doi.org/10.1029/2012EO480002.","productDescription":"1 p.","startPage":"497","endPage":"497","ipdsId":"IP-038889","costCenters":[{"id":441,"text":"National Research Program Western Region","active":false,"usgs":true}],"links":[{"id":263445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263444,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012EO480002"}],"volume":"93","issue":"48","noUsgsAuthors":false,"publicationDate":"2012-11-27","publicationStatus":"PW","scienceBaseUri":"50dcb6cbe4b0d55926e3f32b","contributors":{"authors":[{"text":"Constantz, James E. 0000-0002-4062-2096 jconstan@usgs.gov","orcid":"https://orcid.org/0000-0002-4062-2096","contributorId":1962,"corporation":false,"usgs":true,"family":"Constantz","given":"James E.","email":"jconstan@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":468934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eddy-Miller, Cheryl","contributorId":55305,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl","affiliations":[],"preferred":false,"id":468937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":468935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wheeler, Jerrod D. 0000-0002-0533-8700 jwheele@usgs.gov","orcid":"https://orcid.org/0000-0002-0533-8700","contributorId":1893,"corporation":false,"usgs":true,"family":"Wheeler","given":"Jerrod","email":"jwheele@usgs.gov","middleInitial":"D.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":468933,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040996,"text":"fs20123112 - 2012 - Slope-Area Computation Program Graphical User Interface 1.0—A Preprocessing and Postprocessing Tool for Estimating Peak Flood Discharge Using the Slope-Area Method","interactions":[],"lastModifiedDate":"2012-11-28T10:18:37","indexId":"fs20123112","displayToPublicDate":"2012-11-28T00:00:00","publicationYear":"2012","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":"2012-3112","title":"Slope-Area Computation Program Graphical User Interface 1.0—A Preprocessing and Postprocessing Tool for Estimating Peak Flood Discharge Using the Slope-Area Method","docAbstract":"The slope-area method is a technique for estimating the peak discharge of a flood after the water has receded (Dalrymple and Benson, 1967). This type of discharge estimate is called an “indirect measurement” because it relies on evidence left behind by the flood, such as high-water marks (HWMs) on trees or buildings. These indicators of flood stage are combined with measurements of the cross-sectional geometry of the stream, estimates of channel roughness, and a mathematical model that balances the total energy of the flow between cross sections. This is in contrast to a “direct” measurement of discharge during the flood where cross-sectional area is measured and a current meter or acoustic equipment is used to measure the water velocity. When a direct discharge measurement cannot be made at a gage during high flows because of logistics or safety reasons, an indirect measurement of a peak discharge is useful for defining the high-flow section of the stage-discharge relation (rating curve) at the stream gage, resulting in more accurate computation of high flows. The Slope-Area Computation program (SAC; Fulford, 1994) is an implementation of the slope-area method that computes a peak-discharge estimate from inputs of water-surface slope (from surveyed HWMs), channel geometry, and estimated channel roughness. SAC is a command line program written in Fortran that reads input data from a formatted text file and prints results to another formatted text file. Preparing the input file can be time-consuming and prone to errors. This document describes the SAC graphical user interface (GUI), a crossplatform “wrapper” application that prepares the SAC input file, executes the program, and helps the user interpret the output. The SAC GUI is an update and enhancement of the slope-area method (SAM; Hortness, 2004; Berenbrock, 1996), an earlier spreadsheet tool used to aid field personnel in the completion of a slope-area measurement. The SAC GUI reads survey data, develops a plan-view plot, water-surface profile, cross-section plots, and develops the SAC input file. The SAC GUI also develops HEC-2 files that can be imported into HEC–RAS.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123112","usgsCitation":"Bradley, D.N., 2012, Slope-Area Computation Program Graphical User Interface 1.0—A Preprocessing and Postprocessing Tool for Estimating Peak Flood Discharge Using the Slope-Area Method: U.S. Geological Survey Fact Sheet 2012-3112, 4 p., https://doi.org/10.3133/fs20123112.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":306,"text":"Geology Research and Information","active":false,"usgs":true}],"links":[{"id":263443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3112.gif"},{"id":263442,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3112/fs2012-3112.pdf"},{"id":263441,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3112/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4c921e4b0e8fec6ce1663","contributors":{"authors":[{"text":"Bradley, D. Nathan","contributorId":79776,"corporation":false,"usgs":true,"family":"Bradley","given":"D.","email":"","middleInitial":"Nathan","affiliations":[],"preferred":false,"id":469194,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040995,"text":"ofr20121236 - 2012 - Temporal and spatial trends of chloride and sodium in groundwater in New Hampshire, 1960–2011","interactions":[],"lastModifiedDate":"2016-08-10T15:54:18","indexId":"ofr20121236","displayToPublicDate":"2012-11-28T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1236","title":"Temporal and spatial trends of chloride and sodium in groundwater in New Hampshire, 1960–2011","docAbstract":"<p>Data on concentrations of chloride and sodium in groundwater in New Hampshire were assembled from various State and Federal agencies and organized into a database. This report provides documentation of many assumptions and limitations of disparate data that were collected to meet wide-ranging objectives and investigates temporal and spatial trends of the data. Data summaries presented in this report and analyses performed for this study needed to take into account the 27 percent of chloride and 5 percent of sodium data that were censored (less than a reporting limit) at multiple reporting limits that systematically decreased over time. Throughout New Hampshire, median concentrations of chloride were significantly greater during 2000-2011 than in every decade since the 1970s, and median concentrations of sodium were significantly greater during 2000-2011 than during the 1990s. Results of summary statistics showed that the 50th, 75th, and 90th percentiles of the median concentrations of chloride and sodium by source (well) from Rockingham and Strafford counties were the highest in the State; and the 75th and 90th percentiles from Carroll, Coos, and Grafton counties were the lowest. Large increases in median concentrations of chloride and sodium for individual wells after 1995 compared with concentrations for years before were found in parts of Belknap and Rockingham counties and in small clusters within Carroll, Hillsborough, and Merrimack counties.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121236","collaboration":"Prepared in cooperation with the New Hampshire Department of Environmental Services","usgsCitation":"Medalie, L., 2012, Temporal and spatial trends of chloride and sodium in groundwater in New Hampshire, 1960–2011: U.S. Geological Survey Open-File Report 2012-1236, v, 25 p., https://doi.org/10.3133/ofr20121236.","productDescription":"v, 25 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":263435,"type":{"id":15,"text":"Index 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,{"id":70048348,"text":"70048348 - 2012 - Application of empirical predictive modeling using conventional and alternative fecal indicator bacteria in eastern North Carolina waters","interactions":[],"lastModifiedDate":"2016-11-30T13:30:53","indexId":"70048348","displayToPublicDate":"2012-11-27T11:41:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Application of empirical predictive modeling using conventional and alternative fecal indicator bacteria in eastern North Carolina waters","docAbstract":"Coastal and estuarine waters are the site of intense anthropogenic influence with concomitant use for recreation and seafood harvesting. Therefore, coastal and estuarine water quality has a direct impact on human health. In eastern North Carolina (NC) there are over 240 recreational and 1025 shellfish harvesting water quality monitoring sites that are regularly assessed. Because of the large number of sites, sampling frequency is often only on a weekly basis. This frequency, along with an 18–24 h incubation time for fecal indicator bacteria (FIB) enumeration via culture-based methods, reduces the efficiency of the public notification process. In states like NC where beach monitoring resources are limited but historical data are plentiful, predictive models may offer an improvement for monitoring and notification by providing real-time FIB estimates. In this study, water samples were collected during 12 dry (n = 88) and 13 wet (n = 66) weather events at up to 10 sites. Statistical predictive models for Escherichiacoli (EC), enterococci (ENT), and members of the Bacteroidales group were created and subsequently validated. Our results showed that models for EC and ENT (adjusted R2 were 0.61 and 0.64, respectively) incorporated a range of antecedent rainfall, climate, and environmental variables. The most important variables for EC and ENT models were 5-day antecedent rainfall, dissolved oxygen, and salinity. These models successfully predicted FIB levels over a wide range of conditions with a 3% (EC model) and 9% (ENT model) overall error rate for recreational threshold values and a 0% (EC model) overall error rate for shellfish threshold values. Though modeling of members of the Bacteroidales group had less predictive ability (adjusted R<sup>2</sup> were 0.56 and 0.53 for fecal Bacteroides spp. and human Bacteroides spp., respectively), the modeling approach and testing provided information on Bacteroidales ecology. This is the first example of a set of successful statistical predictive models appropriate for assessment of both recreational and shellfish harvesting water quality in estuarine waters.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2012.07.050","usgsCitation":"Gonzalez, R., Conn, K., Crosswell, J., and Noble, R., 2012, Application of empirical predictive modeling using conventional and alternative fecal indicator bacteria in eastern North Carolina waters: Water Research, v. 46, no. 18, p. 5871-5882, https://doi.org/10.1016/j.watres.2012.07.050.","productDescription":"12 p.","startPage":"5871","endPage":"5882","ipdsId":"IP-036574","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":278005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278004,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2012.07.050"}],"country":"United States","state":"North Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.709756,34.769892 ], [ -76.709756,34.78618 ], [ -76.669006,34.78618 ], [ -76.669006,34.769892 ], [ -76.709756,34.769892 ] ] ] } } ] }","volume":"46","issue":"18","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524162e2e4b0ec672f073ad1","contributors":{"authors":[{"text":"Gonzalez, Raul","contributorId":17131,"corporation":false,"usgs":true,"family":"Gonzalez","given":"Raul","email":"","affiliations":[],"preferred":false,"id":484361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crosswell, Joey","contributorId":75437,"corporation":false,"usgs":true,"family":"Crosswell","given":"Joey","affiliations":[],"preferred":false,"id":484362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noble, Rachel","contributorId":82212,"corporation":false,"usgs":true,"family":"Noble","given":"Rachel","affiliations":[],"preferred":false,"id":484363,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041196,"text":"70041196 - 2012 - Geomorphic response to flow regulation and channel and floodplain alteration in the gravel-bedded Cedar River, Washington, USA","interactions":[],"lastModifiedDate":"2012-11-30T10:08:46","indexId":"70041196","displayToPublicDate":"2012-11-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic response to flow regulation and channel and floodplain alteration in the gravel-bedded Cedar River, Washington, USA","docAbstract":"Decadal- to annual-scale analyses of changes to the fluvial form and processes of the Cedar River in Washington State, USA, reveal the effects of flow regulation, bank stabilization, and log-jam removal on a gravel-bedded river in a temperate climate. During the twentieth century, revetments were built along ~ 60% of the lower Cedar River's length and the 2-year return period flow decreased by 47% following flow regulation beginning in 1914. The formerly wide, anastomosing channel narrowed by over 50% from an average of 47 m in 1936 to 23 m in 1989 and became progressively single threaded. Subsequent high flows and localized revetment removal contributed to an increase in mean channel width to about 34 m by 2011. Channel migration rates between 1936 and 2011 were up to 8 m/year in reaches not confined by revetments or valley walls and less than analysis uncertainty throughout most of the Cedar River's length where bank armoring restricted channel movement. In unconfined reaches where large wood and sediment can be recruited, contemporary high flows, though smaller in magnitude than preregulation high flows, form and maintain geomorphic features such as pools, gravel bars, and side channels. Reaches confined by revetments remain mostly unmodified in the regulated flow regime. While high flows are important for maintaining channel dynamics in the Cedar River, their effectiveness is currently reduced by revetments, limited sediment supply, the lack of large wood available for recruitment to the channel, and decreased magnitude since flow regulation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.geomorph.2012.08.017","usgsCitation":"Gendaszek, A.S., Magirl, C.S., and Czuba, C.R., 2012, Geomorphic response to flow regulation and channel and floodplain alteration in the gravel-bedded Cedar River, Washington, USA: Geomorphology, v. 179, p. 258-268, https://doi.org/10.1016/j.geomorph.2012.08.017.","productDescription":"11 p.","startPage":"258","endPage":"268","numberOfPages":"11","ipdsId":"IP-039992","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":263504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263500,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2012.08.017"}],"country":"United States","state":"Washington","otherGeospatial":"Cedar River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.25,47 ], [ -122.25,47.45 ], [ -123,47.45 ], [ -123,47 ], [ -122.25,47 ] ] ] } } ] }","volume":"179","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50de22dde4b0e31bb02953a3","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469450,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041095,"text":"70041095 - 2012 - A novel antibody-based biomarker for chronic algal toxin exposure and sub-acute neurotoxicity","interactions":[],"lastModifiedDate":"2013-02-23T21:45:18","indexId":"70041095","displayToPublicDate":"2012-11-27T00:00:00","publicationYear":"2012","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":"A novel antibody-based biomarker for chronic algal toxin exposure and sub-acute neurotoxicity","docAbstract":"The neurotoxic amino acid, domoic acid (DA), is naturally produced by marine phytoplankton and presents a significant threat to the health of marine mammals, seabirds and humans via transfer of the toxin through the foodweb. In humans, acute exposure causes a neurotoxic illness known as amnesic shellfish poisoning characterized by seizures, memory loss, coma and death. Regular monitoring for high DA levels in edible shellfish tissues has been effective in protecting human consumers from acute DA exposure. However, chronic low-level DA exposure remains a concern, particularly in coastal and tribal communities that subsistence harvest shellfish known to contain low levels of the toxin. Domoic acid exposure via consumption of planktivorous fish also has a profound health impact on California sea lions (<i>Zalophus californianus</i>) affecting hundreds of animals yearly. Due to increasing algal toxin exposure threats globally, there is a critical need for reliable diagnostic tests for assessing chronic DA exposure in humans and wildlife. Here we report the discovery of a novel DA-specific antibody response that is a signature of chronic low-level exposure identified initially in a zebrafish exposure model and confirmed in naturally exposed wild sea lions. Additionally, we found that chronic exposure in zebrafish caused increased neurologic sensitivity to DA, revealing that repetitive exposure to DA well below the threshold for acute behavioral toxicity has underlying neurotoxic consequences. The discovery that chronic exposure to low levels of a small, water-soluble single amino acid triggers a detectable antibody response is surprising and has profound implications for the development of diagnostic tests for exposure to other pervasive environmental toxins.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS ONE","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0036213","usgsCitation":"Lefebvre, K.A., Frame, E.R., Gulland, F., Hansen, J.D., Kendrick, P.S., Beyer, R.P., Bammler, T.K., Farin, F.M., Hiolski, E.M., Smith, D.R., and Marcinek, D.J., 2012, A novel antibody-based biomarker for chronic algal toxin exposure and sub-acute neurotoxicity: PLoS ONE, v. 7, no. 5, https://doi.org/10.1371/journal.pone.0036213.","productDescription":"7 p.","startPage":"e36213","ipdsId":"IP-036349","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":474257,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0036213","text":"Publisher Index Page"},{"id":263487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263484,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0036213"}],"country":"United States","volume":"7","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-05-02","publicationStatus":"PW","scienceBaseUri":"50d5aac7e4b0ba654692bcae","contributors":{"authors":[{"text":"Lefebvre, Kathi A.","contributorId":12349,"corporation":false,"usgs":true,"family":"Lefebvre","given":"Kathi","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frame, Elizabeth R.","contributorId":57741,"corporation":false,"usgs":true,"family":"Frame","given":"Elizabeth","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":469414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gulland, Frances","contributorId":36441,"corporation":false,"usgs":true,"family":"Gulland","given":"Frances","affiliations":[],"preferred":false,"id":469413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, John D. 0000-0002-3006-2734 jhansen@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":3440,"corporation":false,"usgs":true,"family":"Hansen","given":"John","email":"jhansen@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":469410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kendrick, Preston S.","contributorId":36031,"corporation":false,"usgs":true,"family":"Kendrick","given":"Preston","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":469412,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beyer, Richard P.","contributorId":93792,"corporation":false,"usgs":true,"family":"Beyer","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":469418,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bammler, Theo K.","contributorId":62494,"corporation":false,"usgs":true,"family":"Bammler","given":"Theo","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":469415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Farin, Frederico M.","contributorId":93793,"corporation":false,"usgs":true,"family":"Farin","given":"Frederico","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469419,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hiolski, Emma M.","contributorId":106778,"corporation":false,"usgs":true,"family":"Hiolski","given":"Emma","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469420,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Donald R.","contributorId":75408,"corporation":false,"usgs":true,"family":"Smith","given":"Donald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":469416,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Marcinek, David J.","contributorId":75409,"corporation":false,"usgs":true,"family":"Marcinek","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469417,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70041096,"text":"70041096 - 2012 - Field-based evaluations of horizontal flat-plate fish screens, II: Testing of a unique off-stream channel device - The Farmers Screen","interactions":[],"lastModifiedDate":"2016-05-03T15:30:35","indexId":"70041096","displayToPublicDate":"2012-11-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Field-based evaluations of horizontal flat-plate fish screens, II: Testing of a unique off-stream channel device - The Farmers Screen","docAbstract":"<p><span>Screens are installed at water diversion sites to reduce entrainment of fish. Recently, the Farmers Irrigation District (Oregon) developed a unique flat-plate screen (the &ldquo;Farmers Screen&rdquo;) that operates passively and may offer reduced installation and operating costs. To evaluate the effectiveness of this screen on fish, we conducted two separate field experiments. First, juvenile coho salmon&nbsp;</span><i>Oncorhynchus kisutch</i><span>&nbsp;were released over a working version of this screen under a range of inflows (0.02&ndash;0.42&nbsp;m</span><sup>3</sup><span>/s) and diversion flows (0.02&ndash;0.34&nbsp;m</span><sup>3</sup><span>/s) at different water depths. Mean approach velocities ranged from 0 to 5&nbsp;cm/s and sweeping velocities ranged from 36 to 178&nbsp;cm/s. Water depths over the screen surface ranged from 1 to 25&nbsp;cm and were directly related to inflow. Passage of fish over the screen under these conditions did not severely injure them or cause delayed mortality, and no fish were observed becoming impinged on the screen surface. Second, juvenile coho salmon and steelhead&nbsp;</span><i>O. mykiss</i><span>&nbsp;were released at the upstream end of a 34-m flume and allowed to volitionally move downstream and pass over a 3.5-m section of the Farmers Screen to determine whether fish would refuse to pass over the screen after encountering its leading edge. For coho salmon, 75&ndash;95% of the fish passed over the screen within 5&nbsp;min and 82&ndash;98% passed within 20&nbsp;min, depending on hydraulic conditions. For steelhead, 47&ndash;90% of the fish passed over the screen within 5&nbsp;min and 79&ndash;95% passed within 20&nbsp;min. Our results indicate that when operated within its design criteria, the Farmers Screen provides safe and efficient downstream passage of juvenile salmonids under a variety of hydraulic conditions.</span></p>","largerWorkTitle":"North American Journal of Fisheries Management","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2012.678966","usgsCitation":"Mesa, M.G., Rose, B.P., and Copeland, E.S., 2012, Field-based evaluations of horizontal flat-plate fish screens, II: Testing of a unique off-stream channel device - The Farmers Screen: North American Journal of Fisheries Management, v. 32, no. 3, p. 604-612, https://doi.org/10.1080/02755947.2012.678966.","productDescription":"9 p.","startPage":"604","endPage":"612","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036737","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":263503,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-06-18","publicationStatus":"PW","scienceBaseUri":"50dcd4e9e4b0d55926e40ff8","contributors":{"authors":[{"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":469421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, Brien P. brose@usgs.gov","contributorId":3493,"corporation":false,"usgs":true,"family":"Rose","given":"Brien","email":"brose@usgs.gov","middleInitial":"P.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":469422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Copeland, Elizabeth S.","contributorId":82415,"corporation":false,"usgs":true,"family":"Copeland","given":"Elizabeth","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":469423,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040911,"text":"70040911 - 2012 - Spatial and temporal trends of freshwater mussel assemblages in the Meramec River Basin, Missouri, USA","interactions":[],"lastModifiedDate":"2017-05-22T14:53:44","indexId":"70040911","displayToPublicDate":"2012-11-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal trends of freshwater mussel assemblages in the Meramec River Basin, Missouri, USA","docAbstract":"The Meramec River basin in east-central Missouri has one of the most diverse unionoid mussel faunas in the central United States with >40 species identified. Data were analyzed from historical surveys to test whether diversity and abundance of mussels in the Meramec River basin (Big, Bourbeuse, and Meramec rivers, representing >400 river miles) decreased between 1978 and 1997. We found that over 20y, species richness and diversity decreased significantly in the Bourbeuse and Meramec rivers but not in the Big River. Most species were found at fewer sites and in lower numbers in 1997 than in 1978. Federally endangered species and Missouri Species of Conservation Concern with the most severe temporal declines were <i>Alasmidonta viridis, Arcidens confragosus, Elliptio crassidens, Epioblasma triquetra, Fusconaia ebena, Lampsilis abrupta, Lampsilis brittsi</i>, and <i>Simpsonaias ambigua</i>. Averaged across all species, mussels were generally being extirpated from historical sampling sites more rapidly than colonization was occurring. An exception was one reach of the Meramec River between river miles 28.4 and 59.5, where mussel abundance and diversity were greater than in other reaches and where colonization of Margaritiferidae, Lampsilini, and Quadrulini exceeded extirpation. The exact reasons mussel diversity and abundance have remained robust in this 30- mile reach is uncertain, but the reach is associated with increased gradients, few long pools, and vertical rock faces, all of which are preferable for mussels. Complete loss of mussel communities at eight sites (16%) with relatively diverse historical assemblages was attributed to physical habitat changes including bank erosion, unstable substrate, and sedimentation. Mussel conservation efforts, including restoring and protecting riparian habitats, limiting the effects of in-stream sand and gravel mining, monitoring and controlling invasive species, and protecting water quality, may be warranted in the Meramec River basin.","language":"English","publisher":"Scientific Journals","doi":"10.3996/052012-JFWM-038","usgsCitation":"Hinck, J.E., McMurray, S., Roberts, A.D., Barnhart, M., Ingersoll, C.G., Wang, N., and Augspurger, T., 2012, Spatial and temporal trends of freshwater mussel assemblages in the Meramec River Basin, Missouri, USA: Journal of Fish and Wildlife Management, v. 3, no. 2, p. 319-331, https://doi.org/10.3996/052012-JFWM-038.","productDescription":"13 p.","startPage":"319","endPage":"331","ipdsId":"IP-035423","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":474255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/052012-jfwm-038","text":"Publisher Index Page"},{"id":263420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263419,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3996/052012-JFWM-038"}],"country":"United States","state":"Missouri","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.77,36.0 ], [ -95.77,40.61 ], [ -89.1,40.61 ], [ -89.1,36.0 ], [ -95.77,36.0 ] ] ] } } ] }","volume":"3","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4ce19e4b0e8fec6ce2279","contributors":{"authors":[{"text":"Hinck, Jo Ellen 0000-0002-4912-5766","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":38507,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"","middleInitial":"Ellen","affiliations":[],"preferred":false,"id":469173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMurray, Stephen E.","contributorId":38687,"corporation":false,"usgs":true,"family":"McMurray","given":"Stephen E.","affiliations":[],"preferred":false,"id":469174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, Andrew D.","contributorId":52304,"corporation":false,"usgs":true,"family":"Roberts","given":"Andrew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":469175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, M. Christopher","contributorId":78061,"corporation":false,"usgs":true,"family":"Barnhart","given":"M. Christopher","affiliations":[],"preferred":false,"id":469177,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":469171,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":469172,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Augspurger, Tom","contributorId":63921,"corporation":false,"usgs":true,"family":"Augspurger","given":"Tom","affiliations":[],"preferred":false,"id":469176,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70041089,"text":"70041089 - 2012 - Salinity adaptation of the invasive New Zealand mud snail (<i>Potamopyrgus antipodarum</i>) in the Columbia River estuary (Pacific Northwest, USA): Physiological and molecular studies","interactions":[],"lastModifiedDate":"2016-05-03T13:30:57","indexId":"70041089","displayToPublicDate":"2012-11-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":863,"text":"Aquatic Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Salinity adaptation of the invasive New Zealand mud snail (<i>Potamopyrgus antipodarum</i>) in the Columbia River estuary (Pacific Northwest, USA): Physiological and molecular studies","docAbstract":"<p>In this study, we examine salinity stress tolerances of two populations of the invasive species New Zealand mud snail <i>Potamopyrgus antipodarum</i>, one population from a high salinity environment in the Columbia River estuary and the other from a fresh water lake. In 1996, New Zealand mud snails were discovered in the tidal reaches of the Columbia River estuary that is routinely exposed to salinity at near full seawater concentrations. In contrast, in their native habitat and throughout its spread in the western US, New Zealand mud snails are found only in fresh water ecosystems. Our aim was to determine whether the Columbia River snails have become salt water adapted. Using a modification of the standard amphipod sediment toxicity test, salinity tolerance was tested using a range of concentrations up to undiluted seawater, and the snails were sampled for mortality at daily time points. Our results show that the Columbia River snails were more tolerant of acute salinity stress with the LC<sub>50</sub> values averaging 38 and 22 Practical Salinity Units for the Columbia River and freshwater snails, respectively. DNA sequence analysis and morphological comparisons of individuals representing each population indicate that they were all <i>P. antipodarum</i>. These results suggest that this species is salt water adaptable and in addition, this investigation helps elucidate the potential of this aquatic invasive organism to adapt to adverse environmental conditions.</p>","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10452-012-9396-x","usgsCitation":"Hoy, M., Boese, B.L., Taylor, L., Reusser, D., and Rodriguez, R., 2012, Salinity adaptation of the invasive New Zealand mud snail (<i>Potamopyrgus antipodarum</i>) in the Columbia River estuary (Pacific Northwest, USA): Physiological and molecular studies: Aquatic Ecology, v. 46, no. 2, p. 249-260, https://doi.org/10.1007/s10452-012-9396-x.","productDescription":"12 p.","startPage":"249","endPage":"260","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030014","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":263512,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River, Devils Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.09332275390624,\n              44.80522439622254\n            ],\n            [\n              -124.09332275390624,\n              46.33175800051563\n            ],\n            [\n              -123.6346435546875,\n              46.33175800051563\n            ],\n            [\n              -123.6346435546875,\n              44.80522439622254\n            ],\n            [\n              -124.09332275390624,\n              44.80522439622254\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-04-27","publicationStatus":"PW","scienceBaseUri":"50e4b408e4b0e8fec6cde415","contributors":{"authors":[{"text":"Hoy, Marshal","contributorId":107997,"corporation":false,"usgs":true,"family":"Hoy","given":"Marshal","affiliations":[],"preferred":false,"id":469397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boese, Bruce L.","contributorId":8354,"corporation":false,"usgs":true,"family":"Boese","given":"Bruce","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Louise","contributorId":107587,"corporation":false,"usgs":true,"family":"Taylor","given":"Louise","email":"","affiliations":[],"preferred":false,"id":469396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reusser, Deborah","contributorId":46383,"corporation":false,"usgs":true,"family":"Reusser","given":"Deborah","affiliations":[],"preferred":false,"id":469394,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez, Rusty","contributorId":89423,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Rusty","affiliations":[],"preferred":false,"id":469395,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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