{"pageNumber":"1430","pageRowStart":"35725","pageSize":"25","recordCount":165227,"records":[{"id":70046782,"text":"sim3256 - 2013 - Comparative mineral mapping in the Colorado Mineral Belt using AVIRIS and ASTER remote sensing data","interactions":[],"lastModifiedDate":"2013-07-05T13:09:59","indexId":"sim3256","displayToPublicDate":"2013-07-05T00:00:00","publicationYear":"2013","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":"3256","title":"Comparative mineral mapping in the Colorado Mineral Belt using AVIRIS and ASTER remote sensing data","docAbstract":"This report presents results of interpretation of spectral remote sensing data covering the eastern Colorado Mineral Belt in central Colorado, USA, acquired by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensors. This study was part of a multidisciplinary mapping and data integration project at the U.S. Geological Survey that focused on long-term resource planning by land-managing entities in Colorado.\n\nThe map products were designed primarily for the regional mapping and characterization of exposed surface mineralogy, including that related to hydrothermal alteration and supergene weathering of pyritic rocks. Alteration type was modeled from identified minerals based on standard definitions of alteration mineral assemblages. Vegetation was identified using the ASTER data and subdivided based on per-pixel chlorophyll content (depth of 0.68 micrometer absorption band) and dryness (fit and depth of leaf biochemical absorptions in the shortwave infrared spectral region). The vegetation results can be used to estimate the abundance of fire fuels at the time of data acquisition (2002 and 2003). The AVIRIS- and ASTER-derived mineral mapping results can be readily compared using the toggleable layers in the GeoPDF file, and by using the provided GIS-ready raster datasets.\n\nThe results relating to mineral occurrence and distribution were an important source of data for studies documenting the effects of mining and un-mined, altered rocks on aquatic ecosystems at the watershed level. These studies demonstrated a high correlation between metal concentrations in streams and the presence of hydrothermal alteration and (or) pyritic mine waste as determined by analysis of the map products presented herein. The mineral mapping results were also used to delineate permissive areas for various mineral deposit types.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3256","usgsCitation":"Rockwell, B.W., 2013, Comparative mineral mapping in the Colorado Mineral Belt using AVIRIS and ASTER remote sensing data: U.S. Geological Survey Scientific Investigations Map 3256, Pamphlet: iv, 8 p.; Map: 1 Sheet: 50 x 108 inches; Downloads Directory, https://doi.org/10.3133/sim3256.","productDescription":"Pamphlet: iv, 8 p.; Map: 1 Sheet: 50 x 108 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":274504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3256.gif"},{"id":274500,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3256/"},{"id":274501,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3256/downloads/pdf/SIM3256_pamphlet.pdf"},{"id":274502,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3256/downloads/GeoPDF/SIM3256_map.pdf"},{"id":274503,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3256/downloads/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0603,36.9924 ], [ -109.0603,41.0034 ], [ -102.0409,41.0034 ], [ -102.0409,36.9924 ], [ -109.0603,36.9924 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d7dccfe4b0b0351701e177","contributors":{"authors":[{"text":"Rockwell, Barnaby W. 0000-0002-9549-0617 barnabyr@usgs.gov","orcid":"https://orcid.org/0000-0002-9549-0617","contributorId":2195,"corporation":false,"usgs":true,"family":"Rockwell","given":"Barnaby","email":"barnabyr@usgs.gov","middleInitial":"W.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":480243,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046781,"text":"sim3262 - 2013 - Flood-inundation maps for the Saddle River from Upper Saddle River Borough to Saddle River Borough, New Jersey, 2013","interactions":[],"lastModifiedDate":"2013-07-05T11:58:23","indexId":"sim3262","displayToPublicDate":"2013-07-05T00:00:00","publicationYear":"2013","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":"3262","title":"Flood-inundation maps for the Saddle River from Upper Saddle River Borough to Saddle River Borough, New Jersey, 2013","docAbstract":"Digital flood-inundation maps for a 4.1-mile reach of the Saddle River from 0.6 miles downstream from the New Jersey-New York State boundary in Upper Saddle River Borough to 0.2 miles downstream from the East Allendale Road bridge in Saddle River Borough, New Jersey, were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection (NJDEP). The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to select water levels (stages) at the USGS streamgage 01390450, Saddle River at Upper Saddle River, New Jersey. Current conditions for estimating near real-time areas of inundation using USGS streamgage information may be obtained on the Internet at http://waterdata.usgs.gov/nwis/uv?site_no=01390450. The National Weather Service (NWS) forecasts flood hydrographs at many places that are often collocated with USGS streamgages. NWS-forecasted peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.\n\nIn this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the most current stage-discharge relations (in effect March 2013) at USGS streamgage 01390450, Saddle River at Upper Saddle River, New Jersey, and documented high-water marks from recent floods. The hydraulic model was then used to determine eight water-surface profiles for flood stages at 0.5-foot (ft) intervals referenced to the streamgage datum, North American Vertical Datum of 1988 (NAVD 88), and ranging from bankfull, 0.5 ft below NWS Action Stage, to the upper extent of the stage-discharge rating which is approximately 1 ft higher than the highest recorded water level at the streamgage. Action Stage is the stage which when reached by a rising stream the NWS or a partner needs to take some type of mitigation action in preparation for possible significant hydrologic activity. The simulated water-surface profiles were then combined with a geographic information system 3-meter (9.84 ft) digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level.\n\nThe availability of these maps along with real-time streamflow data and information regarding current stage from USGS streamgages and forecasted stream stages from the NWS provide emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3262","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Watson, K.M., and Hoppe, H.L., 2013, Flood-inundation maps for the Saddle River from Upper Saddle River Borough to Saddle River Borough, New Jersey, 2013: U.S. Geological Survey Scientific Investigations Map 3262, Pamphlet: vi, 8 p.; Maps: 8 Sheets: 17 x 22 inches; Downloads Directory, https://doi.org/10.3133/sim3262.","productDescription":"Pamphlet: vi, 8 p.; Maps: 8 Sheets: 17 x 22 inches; Downloads Directory","additionalOnlineFiles":"Y","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":274498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3262.png"},{"id":274490,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_40.pdf"},{"id":274488,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3262/downloads/sim3262-pamphlet.pdf"},{"id":274489,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_30.pdf"},{"id":274491,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_35.pdf"},{"id":274492,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_45.pdf"},{"id":274493,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_50.pdf"},{"id":274494,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_55.pdf"},{"id":274495,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_60.pdf"},{"id":274496,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_65.pdf"},{"id":274497,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3262/downloads"},{"id":274499,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3262"}],"country":"United States","state":"New Jersey","otherGeospatial":"Saddle River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.120833,41.025 ], [ -74.120833,41.083333 ], [ -74.063889,41.083333 ], [ -74.063889,41.025 ], [ -74.120833,41.025 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d7dcd4e4b0b0351701e17b","contributors":{"authors":[{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoppe, Heidi L. hhoppe@usgs.gov","contributorId":1513,"corporation":false,"usgs":true,"family":"Hoppe","given":"Heidi","email":"hhoppe@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":480241,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045764,"text":"70045764 - 2013 - Ore genesis constraints on the Idaho cobalt belt from fluid inclusion gas, noble gas isotope, and ion ratio analyses--a reply","interactions":[],"lastModifiedDate":"2013-07-05T10:12:04","indexId":"70045764","displayToPublicDate":"2013-07-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Ore genesis constraints on the Idaho cobalt belt from fluid inclusion gas, noble gas isotope, and ion ratio analyses--a reply","docAbstract":"Burlinson (2013) questions the veracity of the H<sub>2</sub> concentrations reported for fluid inclusion extracts from minerals in the Idaho cobalt belt (Table 2; Landis and Hofstra, 2012) and suggests that they are an analytical artifact of electron-impact mass spectrometry. He also declares that H<sub>2</sub> should not be present in fluid inclusions because it is invariably lost by diffusion and is never detected in fluid inclusions by laser Raman. We welcome this opportunity to reply and maintain that the reported H<sub>2</sub> contents are accurate. Below we explain why Burlinson’s criticisms are invalid.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Economic Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SEG","doi":"10.2113/econgeo.108.5.1213","usgsCitation":"Hofstra, A.H., and Landis, G.P., 2013, Ore genesis constraints on the Idaho cobalt belt from fluid inclusion gas, noble gas isotope, and ion ratio analyses--a reply: Economic Geology, v. 108, no. 5, p. 1213-1214, https://doi.org/10.2113/econgeo.108.5.1213.","productDescription":"2 p.","startPage":"1213","endPage":"1214","ipdsId":"IP-045095","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":274484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274483,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/econgeo.108.5.1213"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.24,41.99 ], [ -117.24,49.0 ], [ -111.04,49.0 ], [ -111.04,41.99 ], [ -117.24,41.99 ] ] ] } } ] }","volume":"108","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-08-01","publicationStatus":"PW","scienceBaseUri":"51d7dcd4e4b0b0351701e17f","contributors":{"authors":[{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":478312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landis, Gary P.","contributorId":72405,"corporation":false,"usgs":true,"family":"Landis","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":478313,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045200,"text":"70045200 - 2013 - Origin of the Sinai-Negev erg, Egypt and Israel: mineralogical and geochemical evidence for the importance of the Nile and sea level history","interactions":[],"lastModifiedDate":"2013-07-05T10:26:54","indexId":"70045200","displayToPublicDate":"2013-07-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Origin of the Sinai-Negev erg, Egypt and Israel: mineralogical and geochemical evidence for the importance of the Nile and sea level history","docAbstract":"The Sinai–Negev erg occupies an area of 13,000 km<sup>2</sup> in the deserts of Egypt and Israel. Aeolian sand of this erg has been proposed to be derived from the Nile Delta, but empirical data supporting this view are lacking. An alternative source sediment is sand from the large Wadi El Arish drainage system in central and northern Sinai. Mineralogy of the Negev and Sinai dunes shows that they are high in quartz, with much smaller amounts of K-feldspar and plagioclase. Both Nile Delta sands and Sinai wadi sands, upstream of the dunes, also have high amounts of quartz relative to K-feldspar and plagioclase. However, Sinai wadi sands have abundant calcite, whereas Nile Delta sands have little or no calcite. Overall, the mineralogical data suggest that the dunes are derived dominantly from the Nile Delta, with Sinai wadi sands being a minor contributor. Geochemical data that proxy for both the light mineral fraction (SiO<sub>2</sub>/10–Al<sub>2</sub>O<sub>3</sub> + Na<sub>2</sub>O + K<sub>2</sub>O–CaO) and heavy mineral fraction (Fe<sub>2</sub>O<sub>3</sub>–MgO–TiO<sub>2</sub>) also indicate a dominant Nile Delta source for the dunes. Thus, we report here the first empirical evidence that the Sinai–Negev dunes are derived dominantly from the Nile Delta. Linkage of the Sinai–Negev erg to the Nile Delta as a source is consistent with the distribution of OSL ages of Negev dunes in recent studies. Stratigraphic studies show that during the Last Glacial period, when dune incursions in the Sinai–Negev erg began, what is now the Nile Delta area was characterized by a broad, sandy, minimally vegetated plain, with seasonally dry anastomosing channels. Such conditions were ideal for providing a ready source of sand for aeolian transport under what were probably much stronger glacial-age winds. With the post-glacial rise in sea level, the Nile River began to aggrade. Post-glacial sedimentation has been dominated by fine-grained silts and clays. Thus, sea level, along with favorable climatic conditions, emerges as a major influence on the timing of dune activity in the Sinai–Negev erg, through its control on the supply of sand from the Nile Delta. The mineralogy of the Sinai–Negev dunes is also consistent with a proposed hypothesis that these sediments are an important source of loess in Israel.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Science Reviews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2013.02.022","usgsCitation":"Muhs, D.R., Roskin, J., Tsoar, H., Skipp, G., Budahn, J.R., Sneh, A., Porat, N., Stanley, J., Katra, I., and Blumberg, D.G., 2013, Origin of the Sinai-Negev erg, Egypt and Israel: mineralogical and geochemical evidence for the importance of the Nile and sea level history: Quaternary Science Reviews, v. 69, p. 28-48, https://doi.org/10.1016/j.quascirev.2013.02.022.","productDescription":"21 p.","startPage":"28","endPage":"48","ipdsId":"IP-042380","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":274485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270434,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quascirev.2013.02.022"}],"country":"Israel;Egypt","otherGeospatial":"Sinai-negev Erg","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 30.25,29.0 ], [ 30.25,32.25 ], [ 36.0,32.25 ], [ 36.0,29.0 ], [ 30.25,29.0 ] ] ] } } ] }","volume":"69","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d7dcd4e4b0b0351701e183","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":477003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roskin, Joel","contributorId":51185,"corporation":false,"usgs":true,"family":"Roskin","given":"Joel","email":"","affiliations":[],"preferred":false,"id":477009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tsoar, Haim","contributorId":104378,"corporation":false,"usgs":true,"family":"Tsoar","given":"Haim","email":"","affiliations":[],"preferred":false,"id":477011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skipp, Gary","contributorId":6458,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","affiliations":[],"preferred":false,"id":477004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Budahn, James R. 0000-0001-9794-8882 jbudahn@usgs.gov","orcid":"https://orcid.org/0000-0001-9794-8882","contributorId":1175,"corporation":false,"usgs":true,"family":"Budahn","given":"James","email":"jbudahn@usgs.gov","middleInitial":"R.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":477002,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sneh, Amihai","contributorId":18658,"corporation":false,"usgs":true,"family":"Sneh","given":"Amihai","email":"","affiliations":[],"preferred":false,"id":477007,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Porat, Naomi","contributorId":13886,"corporation":false,"usgs":true,"family":"Porat","given":"Naomi","affiliations":[],"preferred":false,"id":477006,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stanley, Jean-Daniel","contributorId":57714,"corporation":false,"usgs":true,"family":"Stanley","given":"Jean-Daniel","email":"","affiliations":[],"preferred":false,"id":477010,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Katra, Itzhak","contributorId":7600,"corporation":false,"usgs":true,"family":"Katra","given":"Itzhak","email":"","affiliations":[],"preferred":false,"id":477005,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Blumberg, Dan G.","contributorId":34023,"corporation":false,"usgs":true,"family":"Blumberg","given":"Dan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":477008,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70046211,"text":"70046211 - 2013 - Overview of Chaitén Volcano, Chile, and its 2008-2009 eruption","interactions":[],"lastModifiedDate":"2013-07-05T10:47:26","indexId":"70046211","displayToPublicDate":"2013-07-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":766,"text":"Andean Geology","active":true,"publicationSubtype":{"id":10}},"title":"Overview of Chaitén Volcano, Chile, and its 2008-2009 eruption","docAbstract":"Chaitén Volcano erupted unexpectedly in May 2008 in one of the largest eruptions globally since the 1990s. It was the largest rhyolite eruption since the great eruption of Katmai Volcano in 1912, and the first rhyolite eruption to have at least some of its aspects monitored. The eruption consisted of an approximately 2-week-long explosive phase that generated as much as 1 km<sup>3</sup> bulk volume tephra (~0.3 km<sup>3</sup> dense rock equivalent) followed by an approximately 20-month-long effusive phase that erupted about 0.8 km<sup>3</sup> of high-silica rhyolite lava that formed a new dome within the volcano’s caldera. Prior to its eruption, little was known about the eruptive history of the volcano or the hazards it posed to society. This edition of Andean Geology contains a selection of papers that discuss new insights on the eruptive history of Chaitén Volcano, and the broad impacts of and new insights obtained from analyses of the 2008-2009 eruption. Here, we summarize the geographic, tectonic, and climatic setting of Chaitén Volcano and the pre-2008 state of knowledge of its eruptive history to provide context for the papers in this edition, and we provide a revised chronology of the 2008-2009 eruption.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Andean Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Servicio Nacional de Geología y Minería Gobierno de Chile","doi":"10.5027/andgeoV40n2-a01","usgsCitation":"Major, J.J., and Lara, L.E., 2013, Overview of Chaitén Volcano, Chile, and its 2008-2009 eruption: Andean Geology, v. 40, no. 2, p. 196-215, https://doi.org/10.5027/andgeoV40n2-a01.","productDescription":"20 p.","startPage":"196","endPage":"215","ipdsId":"IP-043610","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473703,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5027/andgeov40n2-a01","text":"Publisher Index Page"},{"id":274487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274486,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5027/andgeoV40n2-a01"}],"country":"Chile","otherGeospatial":"Chaitï¿½n Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.651333,-42.837897 ], [ -72.651333,-42.837487 ], [ -72.650793,-42.837487 ], [ -72.650793,-42.837897 ], [ -72.651333,-42.837897 ] ] ] } } ] }","volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-05-30","publicationStatus":"PW","scienceBaseUri":"51d7dcd5e4b0b0351701e187","contributors":{"authors":[{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":479177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lara, Luis E.","contributorId":40500,"corporation":false,"usgs":true,"family":"Lara","given":"Luis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":479178,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047575,"text":"sir20135135 - 2013 - Modeling the Water - Quality Effects of Changes to the Klamath River Upstream of Keno Dam, Oregon","interactions":[],"lastModifiedDate":"2013-08-12T14:37:28","indexId":"sir20135135","displayToPublicDate":"2013-07-04T13:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5135","title":"Modeling the Water - Quality Effects of Changes to the Klamath River Upstream of Keno Dam, Oregon","docAbstract":"The Link River to Keno Dam (Link-Keno) reach of the Klamath River, Oregon, generally has periods of water-quality impairment during summer, including low dissolved oxygen, elevated concentrations of ammonia and algae, and high pH. Efforts are underway to improve water quality in this reach through a Total Maximum Daily Load (TMDL) program and other management and operational actions. To assist in planning, a hydrodynamic and water-quality model was used in this study to provide insight about how various actions could affect water quality in the reach. These model scenarios used a previously developed and calibrated CE-QUAL-W2 model of the Link-Keno reach developed by the U.S. Geological Survey (USGS), Watercourse Engineering Inc., and the Bureau of Reclamation for calendar years 2006-09 (referred to as the \"USGS model\" in this report). Another model of the same river reach was previously developed by Tetra Tech, Inc. and the Oregon Department of Environmental Quality for years 2000 and 2002 and was used in the TMDL process; that model is referred to as the \"TMDL model\" in this report. \n\nThis report includes scenarios that (1) assess the effect of TMDL allocations on water quality, (2) provide insight on certain aspects of the TMDL model, (3) assess various methods to improve water quality in this reach, and (4) examine possible water-quality effects of a future warmer climate. Results presented in this report for the first 5 scenarios supersede or augment those that were previously published (scenarios 1 and 2 in Sullivan and others [2011], 3 through 5 in Sullivan and others [2012]); those previous results are still valid, but the results for those scenarios in this report are more current.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135135","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Sullivan, A.B., Sogutlugil, I.E., Rounds, S.A., and Deas, M., 2013, Modeling the Water - Quality Effects of Changes to the Klamath River Upstream of Keno Dam, Oregon: U.S. Geological Survey Scientific Investigations Report 2013-5135, viii, 60 p.; 1 Appendix, https://doi.org/10.3133/sir20135135.","productDescription":"viii, 60 p.; 1 Appendix","numberOfPages":"72","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":276541,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5135/pdf/sir20135135_appA.pdf"},{"id":276542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135135.bmp"},{"id":276539,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5135/"},{"id":276540,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5135/pdf/sir20135135.pdf"}],"country":"United States","state":"Oregon","otherGeospatial":"Keno Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.0,42.05 ], [ -122.0,42.3 ], [ -121.75,42.3 ], [ -121.75,42.05 ], [ -122.0,42.05 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e959e4b04309f4e38ce3","contributors":{"authors":[{"text":"Sullivan, Annett B. 0000-0001-7783-3906 annett@usgs.gov","orcid":"https://orcid.org/0000-0001-7783-3906","contributorId":56317,"corporation":false,"usgs":true,"family":"Sullivan","given":"Annett","email":"annett@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":482440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sogutlugil, I. Ertugrul","contributorId":50277,"corporation":false,"usgs":true,"family":"Sogutlugil","given":"I.","email":"","middleInitial":"Ertugrul","affiliations":[],"preferred":false,"id":482439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deas, Michael L.","contributorId":98830,"corporation":false,"usgs":true,"family":"Deas","given":"Michael L.","affiliations":[],"preferred":false,"id":482441,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70115381,"text":"70115381 - 2013 - Water and sediment temperatures at mussel beds in the upper Mississippi River basin","interactions":[],"lastModifiedDate":"2020-12-30T13:21:30.252536","indexId":"70115381","displayToPublicDate":"2013-07-03T10:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Water and sediment temperatures at mussel beds in the upper Mississippi River basin","docAbstract":"<p><span>Native freshwater mussels are in global decline and urgently need protection and conservation. Declines in the abundance and diversity of North American mussels have been attributed to human activities that cause pollution, waterquality degradation, and habitat destruction. Recent studies suggest that effects of climate change may also endanger native mussel assemblages, as many mussel species are living close to their upper thermal tolerances. Adult and juvenile mussels spend a large fraction of their lives burrowed into sediments of rivers and lakes. Our objective was to measure surface water and sediment temperatures at known mussel beds in the Upper Mississippi (UMR) and St. Croix (SCR) rivers to estimate the potential for sediments to serve as thermal refugia. Across four mussel beds in the UMR and SCR, surface waters were generally warmer than sediments in summer, and were cooler than sediments in winter. This suggests that sediments may act as a thermal buffer for mussels in these large rivers. Although the magnitude of this effect was usually &lt;3.0°C, sediments were up to 7.5°C cooler at one site in May, suggesting site-specific variation in the ability of sediments to act as thermal buffers. Sediment temperatures in the UMR exceeded those shown to cause mortality in laboratory studies. These data suggest that elevated water temperatures resulting from global warming, thermal discharges, water extraction, and/or droughts have the potential to adversely affect native mussel assemblages.</span></p>","language":"English","publisher":"BioOne","doi":"10.31931/fmbc.v16i2.2013.53-62","usgsCitation":"Newton, T.J., Sauer, J., and Karns, B., 2013, Water and sediment temperatures at mussel beds in the upper Mississippi River basin: Freshwater Mollusk Biology and Conservation, v. 16, no. 2, p. 53-62, https://doi.org/10.31931/fmbc.v16i2.2013.53-62.","productDescription":"10 p.","startPage":"53","endPage":"62","ipdsId":"IP-041287","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":473704,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc.v16i2.2013.53-62","text":"Publisher Index Page"},{"id":381721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.25,40.01 ], [ -95.25,47.5 ], [ -89.27,47.5 ], [ -89.27,40.01 ], [ -95.25,40.01 ] ] ] } } ] }","volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b67b89e4b014fc094d547d","contributors":{"authors":[{"text":"Newton, Teresa J. 0000-0001-9351-5852 tnewton@usgs.gov","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":2470,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa","email":"tnewton@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":495608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, Jennifer","contributorId":56329,"corporation":false,"usgs":true,"family":"Sauer","given":"Jennifer","affiliations":[],"preferred":false,"id":495609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karns, Byron","contributorId":86691,"corporation":false,"usgs":true,"family":"Karns","given":"Byron","affiliations":[],"preferred":false,"id":495610,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043400,"text":"70043400 - 2013 - Oblique transfer of extensional strain between basins of the middle Rio Grande rift, New Mexico: Fault kinematic and paleostress constraints","interactions":[],"lastModifiedDate":"2017-09-26T09:43:14","indexId":"70043400","displayToPublicDate":"2013-07-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Oblique transfer of extensional strain between basins of the middle Rio Grande rift, New Mexico: Fault kinematic and paleostress constraints","docAbstract":"The structural geometry of transfer and accommodation zones that relay strain between extensional domains in rifted crust has been addressed in many studies over the past 30 years. However, details of the kinematics of deformation and related stress changes within these zones have received relatively little attention. In this study we conduct the first-ever systematic, multi-basin fault-slip measurement campaign within the late Cenozoic Rio Grande rift of northern New Mexico to address the mechanisms and causes of extensional strain transfer associated with a broad accommodation zone. Numerous (562) kinematic measurements were collected at fault exposures within and adjacent to the NE-trending Santo Domingo Basin accommodation zone, or relay, which structurally links the N-trending, right-stepping en echelon Albuquerque and Española rift basins. The following observations are made based on these fault measurements and paleostresses computed from them. (1) Compared to the typical northerly striking normal to normal-oblique faults in the rift basins to the north and south, normal-oblique faults are broadly distributed within two merging, NE-trending zones on the northwest and southeast sides of the Santo Domingo Basin. (2) Faults in these zones have greater dispersion of rake values and fault strikes, greater dextral strike-slip components over a wide northerly strike range, and small to moderate clockwise deflections of their tips. (3) Relative-age relations among fault surfaces and slickenlines used to compute reduced stress tensors suggest that far-field, ~E-W–trending σ<sub>3</sub> stress trajectories were perturbed 45° to 90° clockwise into NW to N trends within the Santo Domingo zones. (4) Fault-stratigraphic age relations constrain the stress perturbations to the later stages of rifting, possibly as late as 2.7–1.1 Ma.\n\nOur fault observations and previous paleomagnetic evidence of post–2.7 Ma counterclockwise vertical-axis rotations are consistent with increased bulk sinistral-normal oblique shear along the Santo Domingo rift segment in Pliocene and later time. Regional geologic evidence suggests that the width of active rift faulting became increasingly confined to the Santo Domingo Basin and axial parts of the adjoining basins beginning in the late Miocene. We infer that the Santo Domingo clockwise stress perturbations developed coevally with the oblique rift segment mainly due to mechanical interactions of large faults propagating toward each other from the adjoining basins as the rift narrowed. Our results suggest that negligible bulk strike-slip displacement has been accommodated along the north-trending rift during much of its development, but uncertainties in the maximum ages of fault slip do not allow us to fully evaluate and discriminate between earlier models that invoked northward or southward rotation and translation of the Colorado Plateau during early (Miocene) rifting.","language":"English","publisher":"GSA","doi":"10.1130/2013.2494(14)","usgsCitation":"Minor, S.A., Hudson, M., Caine, J.S., and Thompson, R.A., 2013, Oblique transfer of extensional strain between basins of the middle Rio Grande rift, New Mexico: Fault kinematic and paleostress constraints: GSA Special Papers, v. 494, p. 345-382, https://doi.org/10.1130/2013.2494(14).","productDescription":"38 p.","startPage":"345","endPage":"382","ipdsId":"IP-017587","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":274474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Grande Rift","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.05,31.33 ], [ -109.05,37.0 ], [ -103.0,37.0 ], [ -103.0,31.33 ], [ -109.05,31.33 ] ] ] } } ] }","volume":"494","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d539d5e4b011afeb0c75c7","contributors":{"authors":[{"text":"Minor, Scott A. 0000-0002-6976-9235 sminor@usgs.gov","orcid":"https://orcid.org/0000-0002-6976-9235","contributorId":765,"corporation":false,"usgs":true,"family":"Minor","given":"Scott","email":"sminor@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":473507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":473508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":473510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":473509,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046778,"text":"sir20105090K - 2013 - Porphyry copper assessment of Europe, exclusive of the Fennoscandian Shield: Chapter K in <i>Global mineral resource assessment</i>","interactions":[{"subject":{"id":70046778,"text":"sir20105090K - 2013 - Porphyry copper assessment of Europe, exclusive of the Fennoscandian Shield: Chapter K in <i>Global mineral resource assessment</i>","indexId":"sir20105090K","publicationYear":"2013","noYear":false,"chapter":"K","title":"Porphyry copper assessment of Europe, exclusive of the Fennoscandian Shield: Chapter K in <i>Global mineral resource assessment</i>"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2018-10-18T13:56:05","indexId":"sir20105090K","displayToPublicDate":"2013-07-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5090","chapter":"K","title":"Porphyry copper assessment of Europe, exclusive of the Fennoscandian Shield: Chapter K in <i>Global mineral resource assessment</i>","docAbstract":"<p>The U.S. Geological Survey (USGS) collaborated with European geologists to assess resources in porphyry copper deposits in Europe, exclusive of Scandinavia (Sweden, Denmark, Norway, and Finland) and Russia. Porphyry copper deposits in Europe are Paleozoic and Late Cretaceous to Miocene in age. A number of the 31 known Phanerozoic deposits contain more than 1 million metric tons of contained copper, including the Majdanpek deposit, Serbia; Assarel, Bulgaria; Skouries, Greece; and Rosia Poeni, Romania. Five geographic areas were delineated as permissive tracts for post-Paleozoic porphyry copper deposits. Two additional tracts were delineated to show the extent of permissive igneous rocks associated with porphyry copper mineralization related to the Paleozoic Caledonian and Variscan orogenies. The tracts are based on mapped and inferred subsurface distributions of igneous rocks of specific age ranges that define areas where the occurrence of porphyry copper deposits within 1 kilometer of the Earth&rsquo;s surface is possible. These tracts range in area from about 4,000 to 93,000 square kilometers. Although maps at a variety of different scales were used in the assessment, the final tract boundaries are intended for use at a scale of 1:1,000,000.</p>\n<p>The post-Paleozoic deposits in Europe all formed in conjunction with the tectonic evolution of southern Europe as the former Tethyan Ocean closed by convergence of the African and Arabian Plates with Europe, accompanied by accretion of microcontinents to the southern Eurasian Plate and development and demise of magmatic arcs and ocean basins. Many of the deposits formed in extensional or post-collisional settings; these tectonic environments are increasingly being recognized as environments where porphyry copper deposits occur.</p>\n<p>Probabilistic estimates of undiscovered porphyry copper deposits were made for four Phanerozoic permissive tracts; the other tracts are discussed qualitatively. Assessment participants estimated numbers of undiscovered deposits at different levels of confidence for the four tracts. These estimates were then combined with grade and tonnage models using Monte Carlo simulation to generate probabilistic estimates of amounts of in-place undiscovered resources. Additional resources that may be present in extensions of known deposits were not evaluated. Assessment results are reported in tables and graphs as expected amounts of metal and rock in undiscovered deposits at different quantile levels, as well as the arithmetic mean for each commodity for each tract.</p>\n<p>This assessment estimated a mean of 14 undiscovered porphyry copper deposits within the four permissive tracts for which estimates were made. On the basis of global grade and tonnage models, mean (arithmetic) estimated resources that could be associated with undiscovered deposits are about 46 million metric tons of copper and about 2,600 metric tons of gold, as well as byproduct molybdenum and silver. Reliable reported identified resources for the 27 deposits in the assessed areas total about 44 million metric tons of copper and about 2,300 metric tons of gold. Exploration for gold-rich porphyry systems is ongoing in some parts of historical copper mining districts in central Europe and in northwesternmost (European) Turkey. Political and social conflicts, environmental concerns associated with historical mining, and the global economic situation have had negative effects on exploration, development, and mining in Europe for many years.</p>\n<p>The assessment includes an overview with summary tables. Detailed descriptions of each tract, including the rationales for delineation and assessment, are given in appendixes A&ndash;G. Appendix H describes a geographic information system (GIS) that includes tract boundaries and point locations of known porphyry copper deposits and significant prospects.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment (Scientific Investigations Report 2010-5090)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090K","collaboration":"Prepared in cooperation with the Bureau de Recheres Géologiques et Minières (BRGM), the Geological Institute of Romania, Charles University, and Dr. Duncan E. Large, Ph.D.","usgsCitation":"Sutphin, D., Hammarstrom, J.M., Drew, L.J., Large, D.E., Berger, B.R., Dicken, C., DeMarr, M., with contributions from Billa, M., Briskey, J.A., Cassard, D., Lips, A., Pertold, Z., and Rosu, E., 2013, Porphyry copper assessment of Europe, exclusive of the Fennoscandian Shield: Chapter K in <i>Global mineral resource assessment</i>: U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: xii, 197 p.; Tabloid Figures: 6 Sheets: 17 x 11 inches; GIS Package, https://doi.org/10.3133/sir20105090K.","productDescription":"Report: xii, 197 p.; Tabloid Figures: 6 Sheets: 17 x 11 inches; GIS Package","numberOfPages":"214","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources 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0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":480221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drew, Lawrence J. ldrew@usgs.gov","contributorId":2635,"corporation":false,"usgs":true,"family":"Drew","given":"Lawrence","email":"ldrew@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":480223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Large, Duncan E.","contributorId":76630,"corporation":false,"usgs":true,"family":"Large","given":"Duncan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":480230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":480222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dicken, Connie cdicken@usgs.gov","contributorId":172878,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie","email":"cdicken@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":480227,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeMarr, Michael W.","contributorId":64979,"corporation":false,"usgs":true,"family":"DeMarr","given":"Michael W.","affiliations":[],"preferred":false,"id":480228,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"with contributions from Billa, Mario","contributorId":102773,"corporation":false,"usgs":true,"family":"with contributions from Billa","given":"Mario","email":"","affiliations":[],"preferred":false,"id":480233,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Briskey, Joseph A.","contributorId":77605,"corporation":false,"usgs":true,"family":"Briskey","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":480231,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cassard, Daniel","contributorId":71860,"corporation":false,"usgs":true,"family":"Cassard","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":480229,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lips, Andor","contributorId":84253,"corporation":false,"usgs":true,"family":"Lips","given":"Andor","email":"","affiliations":[],"preferred":false,"id":480232,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pertold, Zdenek","contributorId":7598,"corporation":false,"usgs":true,"family":"Pertold","given":"Zdenek","email":"","affiliations":[],"preferred":false,"id":480224,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rosu, Emilian","contributorId":36830,"corporation":false,"usgs":true,"family":"Rosu","given":"Emilian","email":"","affiliations":[],"preferred":false,"id":480225,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70046780,"text":"sir20135120 - 2013 - Optimization of water-level monitoring networks in the eastern Snake River Plain aquifer using a kriging-based genetic algorithm method","interactions":[],"lastModifiedDate":"2013-07-03T13:36:06","indexId":"sir20135120","displayToPublicDate":"2013-07-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5120","title":"Optimization of water-level monitoring networks in the eastern Snake River Plain aquifer using a kriging-based genetic algorithm method","docAbstract":"Long-term groundwater monitoring networks can provide essential information for the planning and management of water resources. Budget constraints in water resource management agencies often mean a reduction in the number of observation wells included in a monitoring network. A network design tool, distributed as an R package, was developed to determine which wells to exclude from a monitoring network because they add little or no beneficial information. A kriging-based genetic algorithm method was used to optimize the monitoring network. The algorithm was used to find the set of wells whose removal leads to the smallest increase in the weighted sum of the (1) mean standard error at all nodes in the kriging grid where the water table is estimated, (2) root-mean-squared-error between the measured and estimated water-level elevation at the removed sites, (3) mean standard deviation of measurements across time at the removed sites, and (4) mean measurement error of wells in the reduced network. The solution to the optimization problem (the best wells to retain in the monitoring network) depends on the total number of wells removed; this number is a management decision. The network design tool was applied to optimize two observation well networks monitoring the water table of the eastern Snake River Plain aquifer, Idaho; these networks include the 2008 Federal-State Cooperative water-level monitoring network (Co-op network) with 166 observation wells, and the 2008 U.S. Geological Survey-Idaho National Laboratory water-level monitoring network (USGS-INL network) with 171 wells. Each water-level monitoring network was optimized five times: by removing (1) 10, (2) 20, (3) 40, (4) 60, and (5) 80 observation wells from the original network. An examination of the trade-offs associated with changes in the number of wells to remove indicates that 20 wells can be removed from the Co-op network with a relatively small degradation of the estimated water table map, and 40 wells can be removed from the USGS-INL network before the water table map degradation accelerates. The optimal network designs indicate the robustness of the network design tool. Observation wells were removed from high well-density areas of the network while retaining the spatial pattern of the existing water-table map.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135120","collaboration":"DOE/ID-22224 Prepared in cooperation with the Bureau of Reclamation and U.S. Department of Energy","usgsCitation":"Fisher, J.C., 2013, Optimization of water-level monitoring networks in the eastern Snake River Plain aquifer using a kriging-based genetic algorithm method: U.S. Geological Survey Scientific Investigations Report 2013-5120, viii, 73 p.; Appendixes A-B, https://doi.org/10.3133/sir20135120.","productDescription":"viii, 73 p.; Appendixes A-B","numberOfPages":"86","additionalOnlineFiles":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":274477,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5120/pdf/sir20135120_appendixA.pdf"},{"id":274478,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5120/pdf/sir20135120_appendixB.pdf"},{"id":274475,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5120/"},{"id":274476,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5120/pdf/sir20135120.pdf"},{"id":274479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135120.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Eastern Snake River Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.5,42.0 ], [ -115.5,44.5 ], [ -111.0,44.5 ], [ -111.0,42.0 ], [ -115.5,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d539d5e4b011afeb0c75cb","contributors":{"authors":[{"text":"Fisher, Jason C. 0000-0001-9032-8912 jfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-9032-8912","contributorId":2523,"corporation":false,"usgs":true,"family":"Fisher","given":"Jason","email":"jfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480240,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046779,"text":"ofr20131154 - 2013 - Theoretical life history responses of juvenile <i>Oncorhynchus mykiss</i> to changes in food availability using a dynamic state-dependent approach","interactions":[],"lastModifiedDate":"2016-05-17T09:16:56","indexId":"ofr20131154","displayToPublicDate":"2013-07-03T00:00:00","publicationYear":"2013","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":"2013-1154","title":"Theoretical life history responses of juvenile <i>Oncorhynchus mykiss</i> to changes in food availability using a dynamic state-dependent approach","docAbstract":"<p><span>Marine subsidies can play an important role in the growth, survival, and migratory behavior of rearing juvenile salmonids. Availability of high-energy, marine-derived food sources during critical decision windows may influence the timing of emigration or the decision to forego emigration completely and remain in the freshwater environment. Increasing growth and growth rate during these decision windows may result in an altered juvenile population structure, which will ultimately affect the adult population age-structure. We used a state dependent model to understand how the juvenile&nbsp;</span><i>Oncorhynchus mykiss</i><span>&nbsp;population structure may respond to increased availability of salmon eggs in their diet during critical decision windows. Our models predicted an increase in smolt production until coho salmon eggs comprised more than 50 percent of juvenile&nbsp;</span><i>O. mykiss</i><span>&nbsp;diet at the peak of the spawning run. At higher-than intermediate levels of egg consumption, smolt production decreased owing to increasing numbers of fish adopting a resident life-history strategy. Additionally, greater growth rates decreased the number of age-3 smolts and increased the number of age-2 smolts. Increased growth rates with higher egg consumption also decreased the age at which fish adopted the resident pathway. Our models suggest that the introduction of a high-energy food source during critical periods of the year could be sufficient to increase smolt production.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131154","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Romine, J.G., Benjamin, J.R., Perry, R.W., Casal, L., Connolly, P., and Sauter, S., 2013, Theoretical life history responses of juvenile <i>Oncorhynchus mykiss</i> to changes in food availability using a dynamic state-dependent approach: U.S. Geological Survey Open-File Report 2013-1154, iv, 20 p., https://doi.org/10.3133/ofr20131154.","productDescription":"iv, 20 p.","numberOfPages":"28","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":274472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131154.png"},{"id":274470,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1154/"},{"id":274471,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1154/pdf/ofr20131154.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d539d5e4b011afeb0c75d3","contributors":{"authors":[{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":480235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","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":480237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":480234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casal, Lynne","contributorId":8362,"corporation":false,"usgs":true,"family":"Casal","given":"Lynne","affiliations":[],"preferred":false,"id":480238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":480236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sauter, Sally S.","contributorId":27771,"corporation":false,"usgs":true,"family":"Sauter","given":"Sally S.","affiliations":[],"preferred":false,"id":480239,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046777,"text":"sir20135070 - 2013 - Geohydrology, water quality, and simulation of groundwater flow in the stratified-drift aquifer system in Virgil Creek and Dryden Lake Valleys, Town of Dryden, Tompkins County, New York","interactions":[],"lastModifiedDate":"2016-01-11T08:55:33","indexId":"sir20135070","displayToPublicDate":"2013-07-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5070","title":"Geohydrology, water quality, and simulation of groundwater flow in the stratified-drift aquifer system in Virgil Creek and Dryden Lake Valleys, Town of Dryden, Tompkins County, New York","docAbstract":"<p>In 2002, the U.S. Geological Survey, in cooperation with the Tompkins County Planning Department and the Town of Dryden, New York, began a study of the stratified-drift aquifer system in the Virgil Creek and Dryden Lake Valleys in the Town of Dryden, Tompkins County. The study provided geohydrologic data needed by the town and county to develop a strategy to manage and protect their water resources. In this study area, three extensive confined sand and gravel aquifers (the upper, middle, and lower confined aquifers) compose the stratified-drift aquifer system. The Dryden Lake Valley is a glaciated valley oriented parallel to the direction of ice movement. Erosion by ice extensively widened and deepened the valley, truncated bedrock hillsides, and formed a nearly straight, U-shaped bedrock trough. The maximum thickness of the valley fill in the central part of the valley is about 400 feet (ft). The Virgil Creek Valley in the east part of the study area underwent less severe erosion by ice than the Dryden Lake Valley, and hence, it has a bedrock floor that is several hundred feet higher in altitude than that in the Dryden Lake Valley. The sources and amounts of recharge were difficult to identify in most areas because the confined aquifers are overlain by confining units. However, in the vicinity of the Virgil Creek Dam, the upper confined aquifer crops out at land surface in the floodplain of a gorge eroded by Virgil Creek, and this is where the aquifer receives large amounts of recharge from precipitation that directly falls over the aquifer and from seepage losses from Virgil Creek. The results of streamflow measurements made in Virgil Creek where it flows through the gorge indicated that the stream lost 1.2 cubic feet per second (ft<sup>3</sup>/s) or 0.78 million gallons per day (Mgal/d) of water in the reach extending from 220 ft downstream from the dam to 1,200 ft upstream from the dam. In the southern part of the study area, large amounts of recharge also replenish the stratified-drift aquifers at the Valley Heads Moraine, which consists of heterogeneous sediments including coarse-grained outwash and kame sediments, as well as zones containing till with a fine-grained matrix. In the southern part of the study area, the confining units are thin and likely to be discontinuous in some places, resulting in windows of permeable sediment, which can more readily transmit recharge from precipitation and from tributaries that lose water as they flow over the valley floor. In contrast, in the northern part of the study area, the confining units are thick, continuous, and comprise homogeneous fine-grained sediments that more effectively confine the aquifers than in the southern part of the study area. Most groundwater in the northern part of the study area discharges to the Village of Dryden municipal production wells, to the outlet to Dryden Lake, to Virgil Creek, and as groundwater underflow that exits the northern boundary of the study area. Most northward-flowing groundwater in the southern part of the study area discharges to Dryden Lake, to the inlet to Dryden Lake, and to homeowner, nonmunicipal community (a mobile home community and several apartments), and commercial wells. Most of this pumped water is returned to the groundwater system via septic systems. Most southward-flowing groundwater in the southern part of the study area discharges to the headwaters of Owego Creek and to agricultural wells; some flow also exits the southern boundary of the study area as groundwater underflow. The largest user of groundwater in the study area is the Village of Dryden. Water use in the village has approximately tripled between the early 1970s when withdrawals ranged between 18 and 30 million gallons per year (Mgal/yr) and from 2000 through 2008 when withdrawals ranged between 75 and 85 Mgal/yr. The estimated groundwater use by homeowners, nonmunicipal communities, and small commercial facilities outside the area supplied by the Village of Dryden municipal wells is estimated to be about 18.4 Mgal/yr. Most of this pumped water is returned to the groundwater system via septic systems. For this investigation, an aquifer test was conducted at the Village of Dryden production well TM 981 (finished in the middle confined aquifer at a well depth of 72 ft) at the Jay Street pumping station during June 19&ndash;21, 2007. The aquifer test consisted of pumping production well TM 981 at 104 gallons per minute over a 24-hour period. The drawdown in well TM 981 at the end of 24 hours of pumping was 19.2 ft. Results of the aquifer-test analysis for a partially penetrating well in a confined aquifer indicated that the transmissivity was 1,560 feet squared per day, and the horizontal hydraulic conductivity was 87 feet per day, based on a saturated thickness of 18 ft. During 2003&ndash;5, 14 surface-water samples were collected at 8 sites, including Virgil Creek, Dryden Lake outlet, and several tributaries. During 2003 through 2009, eight groundwater samples were collected from eight wells, including three municipal production wells, two test wells, and three domestic wells. Calcium dominates the cation composition, and bicarbonate dominates the anion composition in most groundwater and surface-water samples. None of the common inorganic constituents collected exceeded any Federal or State water-quality standards. Results from a three-dimensional, finite-difference groundwater-flow model were used to compute a water budget and to estimate the areal extent of the zone of groundwater contribution to the Village of Dryden municipal production wells. The model-computed water budget indicated that the sources of recharge to the confined aquifer system are precipitation that falls directly on the valley-fill sediments (40 percent of total recharge), stream leakage (35.5 percent), seepage from wetlands and ponds (12 percent), unchanneled runoff and groundwater inflow from the uplands (8.5 percent), and groundwater underflow into the eastern end of the model area (4 percent). Most groundwater discharges to surface-water bodies, including Dryden Lake (33 percent), streams (33 percent), and wetlands and ponds (10 percent of the total). In addition, some groundwater discharges as underflow out of the southern and northern ends of the model area (15 percent), to simulated pumping wells (4.5 percent), and to drains that represent seepage from the bluffs exposed in the gorge in the vicinity of the Virgil Creek Dam (4.5 percent). The areal extents of the zones of groundwater contribution for Village of Dryden municipal production wells TM 202 (Lake Road pump station, finished in the upper confined aquifer) and TM 981 (Jay Street pump station, finished in the middle confined aquifer) are 0.5 square mile (mi<sup>2</sup>) and 0.9 mi<sup>2</sup>, respectively. The areal extent of the zone of contribution to production well TM 202 extends 2.2 miles (mi) southeast into the Virgil Creek Valley, whereas production well TM 981 extends 3.8 mi south in the Dryden Lake Valley. The areal extent of the zone of contribution to production well TM1046 (South Street pump station) is 1.4 mi<sup>2</sup> and extends 2.4 mi into Dryden Lake Valley and 0.5 mi into Virgil Creek Valley.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135070","collaboration":"Prepared in cooperation with the Town of Dryden and theTompkins County Planning Department","usgsCitation":"Miller, T.S., and Bugliosi, E.F., 2013, Geohydrology, water quality, and simulation of groundwater flow in the stratified-drift aquifer system in Virgil Creek and Dryden Lake Valleys, Town of Dryden, Tompkins County, New York: U.S. Geological Survey Scientific Investigations Report 2013-5070, ix, 104 p.; Figures 8, 13, 18: 3 Sheets: 30 x 38 inches, https://doi.org/10.3133/sir20135070.","productDescription":"ix, 104 p.; Figures 8, 13, 18: 3 Sheets: 30 x 38 inches","numberOfPages":"118","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":274464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135070.gif"},{"id":274461,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5070/pdf/sir2013-5070_miller_fig08_sheet.pdf","text":"Plate 08"},{"id":274462,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5070/pdf/sir2013-5070_miller_fig18_11x17.pdf","text":"Plate 18"},{"id":274459,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5070/"},{"id":274460,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5070/pdf/sir2013-5070_miller_508.pdf","text":"Report"},{"id":274463,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5070/pdf/sir2013-5070_miller_fig13_11x17.pdf","text":"Plate 13"}],"country":"United States","state":"New York","county":"Tompkins County","city":"Dryden","otherGeospatial":"Virgil Creek Valley;Dryden Lake Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.314059,42.479558 ], [ -76.314059,42.50096 ], [ -76.286107,42.50096 ], [ -76.286107,42.479558 ], [ -76.314059,42.479558 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d539d4e4b011afeb0c75c3","contributors":{"authors":[{"text":"Miller, Todd S. tsmiller@usgs.gov","contributorId":1190,"corporation":false,"usgs":true,"family":"Miller","given":"Todd","email":"tsmiller@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bugliosi, Edward F. ebuglios@usgs.gov","contributorId":1083,"corporation":false,"usgs":true,"family":"Bugliosi","given":"Edward","email":"ebuglios@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480219,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046776,"text":"tm6A42 - 2013 - Advective transport observations with MODPATH-OBS--documentation of the MODPATH observation process","interactions":[],"lastModifiedDate":"2013-07-03T10:08:43","indexId":"tm6A42","displayToPublicDate":"2013-07-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A42","title":"Advective transport observations with MODPATH-OBS--documentation of the MODPATH observation process","docAbstract":"The MODPATH-OBS computer program described in this report is designed to calculate simulated equivalents for observations related to advective groundwater transport that can be represented in a quantitative way by using simulated particle-tracking data. The simulated equivalents supported by MODPATH-OBS are (1) distance from a source location at a defined time, or proximity to an observed location; (2) time of travel from an initial location to defined locations, areas, or volumes of the simulated system; (3) concentrations used to simulate groundwater age; and (4) percentages of water derived from contributing source areas. Although particle tracking only simulates the advective component of conservative transport, effects of non-conservative processes such as retardation can be approximated through manipulation of the effective-porosity value used to calculate velocity based on the properties of selected conservative tracers. This program can also account for simple decay or production, but it cannot account for diffusion. Dispersion can be represented through direct simulation of subsurface heterogeneity and the use of many particles.\n\nMODPATH-OBS acts as a postprocessor to MODPATH, so that the sequence of model runs generally required is MODFLOW, MODPATH, and MODPATH-OBS. The version of MODFLOW and MODPATH that support the version of MODPATH-OBS presented in this report are MODFLOW-2005 or MODFLOW-LGR, and MODPATH-LGR. MODFLOW-LGR is derived from MODFLOW-2005, MODPATH 5, and MODPATH 6 and supports local grid refinement. MODPATH-LGR is derived from MODPATH 5. It supports the forward and backward tracking of particles through locally refined grids and provides the output needed for MODPATH_OBS. For a single grid and no observations, MODPATH-LGR results are equivalent to MODPATH 5. MODPATH-LGR and MODPATH-OBS simulations can use nearly all of the capabilities of MODFLOW-2005 and MODFLOW-LGR; for example, simulations may be steady-state, transient, or a combination. Though the program name MODPATH-OBS specifically refers to observations, the program also can be used to calculate model prediction of observations.\n\nMODPATH-OBS is primarily intended for use with separate programs that conduct sensitivity analysis, data needs assessment, parameter estimation, and uncertainty analysis, such as UCODE_2005, and PEST.\n\nIn many circumstances, refined grids in selected parts of a model are important to simulated hydraulics, detailed inflows and outflows, or other system characteristics. MODFLOW-LGR and MODPATH-LGR support accurate local grid refinement in which both mass (flows) and energy (head) are conserved across the local grid boundary. MODPATH-OBS is designed to take advantage of these capabilities. For example, particles tracked between a pumping well and a nearby stream, which are simulated poorly if a river and well are located in a single large grid cell, can be simulated with improved accuracy using a locally refined grid in MODFLOW-LGR, MODPATH-LGR, and MODPATH-OBS. The locally-refined-grid approach can provide more accurate simulated equivalents to observed transport between the well and the river.\n\nThe documentation presented here includes a brief discussion of previous work, description of the methods, and detailed descriptions of the required input files and how the output files are typically used.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Ground water in Book 6 <i>Modeling Techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A42","collaboration":"Prepared in cooperation with the U.S. Department of Energy; This report is Chapter 42 of Section A: Ground water in Book 6 <i>Modeling Techniques</i>","usgsCitation":"Hanson, R.T., Kauffman, L., Hill, M.C., Dickinson, J., and Mehl, S., 2013, Advective transport observations with MODPATH-OBS--documentation of the MODPATH observation process: U.S. Geological Survey Techniques and Methods 6-A42, viii, 96 p., https://doi.org/10.3133/tm6A42.","productDescription":"viii, 96 p.","numberOfPages":"108","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":274458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6a42.jpg"},{"id":274456,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/06/a42/"},{"id":274457,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a42/pdf/tm6-a42.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d539cee4b011afeb0c75bf","contributors":{"authors":[{"text":"Hanson, R. T.","contributorId":91148,"corporation":false,"usgs":true,"family":"Hanson","given":"R.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":480218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, L.K.","contributorId":76624,"corporation":false,"usgs":true,"family":"Kauffman","given":"L.K.","email":"","affiliations":[],"preferred":false,"id":480216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, M. C.","contributorId":48993,"corporation":false,"usgs":true,"family":"Hill","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":480215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dickinson, J.E.","contributorId":28790,"corporation":false,"usgs":true,"family":"Dickinson","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":480214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mehl, S.W.","contributorId":84555,"corporation":false,"usgs":true,"family":"Mehl","given":"S.W.","affiliations":[],"preferred":false,"id":480217,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046775,"text":"sir20135124 - 2013 - Hydrogeology of the Little Spokane River basin, Spokane, Stevens, and Pend Oreille Counties, Washington","interactions":[],"lastModifiedDate":"2022-04-15T21:11:45.85294","indexId":"sir20135124","displayToPublicDate":"2013-07-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5124","title":"Hydrogeology of the Little Spokane River basin, Spokane, Stevens, and Pend Oreille Counties, Washington","docAbstract":"A study of the hydrogeologic framework of the Little Spokane River Basin was conducted to identify and describe the principal hydrogeologic units in the study area, their hydraulic characteristics, and general directions of groundwater movement. The Little Spokane River Basin includes an area of 679 square miles in northeastern Washington State covering parts of Spokane, Stevens, and Pend Oreille Counties. The groundwater system consists of unconsolidated sedimentary deposits and isolated, remnant basalt layers overlying crystalline bedrock. In 1976, a water resources program for the Little Spokane River was adopted into rule by the State of Washington, setting instream flows for the river and closing its tributaries to further uses. Spokane County representatives are concerned about the effects that additional groundwater development within the basin might have on the Little Spokane River and on existing groundwater resources. Information provided by this study will be used in future investigations to evaluate the effects of potential increases in groundwater withdrawals on groundwater and surface-water resources in the basin.\n\nThe hydrogeologic framework consists of eight hydrogeologic units: the Upper aquifer, Upper confining unit, Lower aquifers, Lower confining unit, Wanapum basalt unit, Latah unit, Grande Ronde basalt unit, and Bedrock. The Upper aquifer is composed mostly of sand and gravel and varies in thickness from 4 to 360 ft, with an average thickness of 70 ft. The aquifer is generally finer grained in areas farther from main outwash channels. The estimated horizontal hydraulic conductivity ranges from 4.4 to 410,000 feet per day (ft/d), with a median hydraulic conductivity of 900 ft/d. The Upper confining unit is a low-permeability unit consisting mostly of silt and clay, and varies in thickness from 5 to 400 ft, with an average thickness of 100 ft. The estimated horizontal hydraulic conductivity ranges from 0.5 to 5,600 ft/d, with a median hydraulic conductivity of 8.2 ft/d. The Lower aquifers unit consists of localized confined aquifers or lenses consisting mostly of sand that occur at depth in various places in the basin; thickness of the unit ranges from 8 to 150 ft, with an average thickness of 50 ft. The Lower confining unit is a low-permeability unit consisting mostly of silt and clay; thickness of the unit ranges from 35 to 310 ft, with an average thickness of 130 ft.\n\nThe Wanapum basalt unit includes the Wanapum Basalt of the Columbia River Basalt Group, thin sedimentary interbeds, and, in some places, overlying loess. The unit occurs as isolated remnants on the basalt bluffs in the study area and ranges in thickness from 7 to 140 ft, with an average thickness of 60 ft. The Latah unit is a mostly low-permeability unit consisting of silt, clay, and sand that underlies and is interbedded with the basalt units. The Latah unit ranges in thickness from 10 to 700 ft, with an average thickness of 250 ft. The estimated horizontal hydraulic conductivity ranges from 0.19 to 15 ft/d, with a median hydraulic conductivity of 0.56 ft/d. The Grande Ronde unit includes the Grande Ronde Basalt of the Columbia River Basalt Group and sedimentary interbeds. Unit thickness ranges from 30 to 260 ft, with an average thickness of 140 ft. The estimated horizontal hydraulic conductivity ranges from 0.03 to 13 ft/d, with a median hydraulic conductivity of 2.9 ft/d.\n\nThe Bedrock unit is the only available source of groundwater where overlying sediments are absent or insufficiently saturated. The estimated horizontal hydraulic conductivity ranges from 0.01 to 5,000 ft/d, with a median hydraulic conductivity of 1.4 ft/d. The altitude of the buried bedrock surface ranges from about 2,200 ft to about 1,200 ft.\n\nGroundwater movement in the Little Spokane River Basin mimics the surface-water drainage pattern of the basin, moving from the topographically high tributary-basin areas toward the topographically lower valley floors. Water-level altitudes range from more than 2,700 ft to about 1,500 ft near the basin’s outlet.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135124","collaboration":"Prepared in cooperation with Spokane County","usgsCitation":"Kahle, S.C., Olsen, T.D., and Fasser, E.T., 2013, Hydrogeology of the Little Spokane River basin, Spokane, Stevens, and Pend Oreille Counties, Washington: U.S. Geological Survey Scientific Investigations Report 2013-5124, Pamphlet: vii, 51 p.; 2 Plates: 22.04 × 26.75 inches and 35.83 × 20.85 inches, https://doi.org/10.3133/sir20135124.","productDescription":"Pamphlet: vii, 51 p.; 2 Plates: 22.04 × 26.75 inches and 35.83 × 20.85 inches","numberOfPages":"64","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":274455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135124.jpg"},{"id":398877,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98608.htm"},{"id":274453,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5124/pdf/sir20135124.pdf"},{"id":274451,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5124/"},{"id":274454,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5124/pdf/sir20135124_plate02.pdf"},{"id":274452,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5124/pdf/sir20135124_plate01.pdf"}],"scale":"100000","country":"United States","state":"Washington","county":"Pend Oreille County, Spokane County, Stevens County","otherGeospatial":"Little Spokane River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.6789,\n              47.6894\n            ],\n            [\n              -117.0303,\n              47.6894\n            ],\n            [\n              -117.0303,\n              48.2069\n            ],\n            [\n              -117.6789,\n              48.2069\n            ],\n            [\n              -117.6789,\n              47.6894\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3e856e4b09630fbdc5252","contributors":{"authors":[{"text":"Kahle, Sue C. 0000-0003-1262-4446 sckahle@usgs.gov","orcid":"https://orcid.org/0000-0003-1262-4446","contributorId":3096,"corporation":false,"usgs":true,"family":"Kahle","given":"Sue","email":"sckahle@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olsen, Theresa D. 0000-0003-4099-4057 tdolsen@usgs.gov","orcid":"https://orcid.org/0000-0003-4099-4057","contributorId":1644,"corporation":false,"usgs":true,"family":"Olsen","given":"Theresa","email":"tdolsen@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fasser, Elisabeth T. 0000-0002-3945-6633 efasser@usgs.gov","orcid":"https://orcid.org/0000-0002-3945-6633","contributorId":3973,"corporation":false,"usgs":true,"family":"Fasser","given":"Elisabeth","email":"efasser@usgs.gov","middleInitial":"T.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480213,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046774,"text":"sir20135018 - 2013 - Hydrologic drought of water year 2011 compared to four major drought periods of the 20th century in Oklahoma","interactions":[],"lastModifiedDate":"2020-02-26T17:24:06","indexId":"sir20135018","displayToPublicDate":"2013-07-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5018","title":"Hydrologic drought of water year 2011 compared to four major drought periods of the 20th century in Oklahoma","docAbstract":"Water year 2011 (October 1, 2010, through September 30, 2011) was a year of hydrologic drought (based on streamflow) in Oklahoma and the second-driest year to date (based on precipitation) since 1925. Drought conditions worsened substantially in the summer, with the highest monthly average temperature record for all States being broken by Oklahoma in July (89.1 degrees Fahrenheit), June being the second hottest and August being the hottest on record for those months for the State since 1895. Drought conditions continued into the fall, with all of the State continuing to be in severe to exceptional drought through the end of September. In addition to effects on streamflow and reservoirs, the 2011 drought increased damage from wildfires, led to declarations of states of emergency, water-use restrictions, and outdoor burning bans; caused at least $2 billion of losses in the agricultural sector and higher prices for food and other agricultural products; caused losses of tourism and wildlife; reduced hydropower generation; and lowered groundwater levels in State aquifers.\n\nThe U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, conducted an investigation to compare the severity of the 2011 drought with four previous major hydrologic drought periods during the 20th century – water years 1929–41, 1952–56, 1961–72, and 1976–81.\n\nThe period of water years 1925–2011 was selected as the period of record because few continuous record streamflow-gaging stations existed before 1925, and gaps in time existed where no streamflow-gaging stations were operated before 1925. In water year 2011, statewide annual precipitation was the 2d lowest, statewide annual streamflow was 16th lowest, and statewide annual runoff was 42d lowest of those 87 years of record.\n\nAnnual area-averaged precipitation totals by the nine National Weather Service climate divisions from water year 2011 were compared to those during four previous major hydrologic drought periods to show how precipitation deficits in Oklahoma varied by region. The nine climate divisions in Oklahoma had precipitation in water year 2011 ranging from 43 to 76 percent of normal annual precipitation, with the Northeast Climate Division having the closest to normal precipitation and the Southwest Climate Division having the greatest percentage of annual deficit. Based on precipitation amounts, water year 2011 ranked as the second driest of the 1925–2011 period, being exceeded only in one year of the 1952 to 1956 drought period.\n\nRegional streamflow patterns for water year 2011 indicate that streamflow in the Arkansas-White-Red water resources region, which includes all of Oklahoma, was relatively large, being only the 26th lowest since 1930, primarily because of normal or above-normal streamflow in the northern part of the region. Twelve long-term streamflow-gaging stations with periods of record ranging from 67 to 83 years were selected to show how streamflow deficits varied by region in Oklahoma. Statewide, streamflow in water year 2011 was greater than streamflows measured in years during the drought periods of 1929–41, 1952–56, 1961–72, and 1976–81. The hydrologic drought worsened going from the northeast toward the southwest in Oklahoma, ranging from 140 percent (above normal streamflow) in the northeast, to 13 percent of normal streamflow in southwestern Oklahoma. The relatively low streamflow in 2011 resulted in 83.3 percent of the statewide conservation storage being available at the end of the water year in major reservoirs, similar to conservation storage in the preceding severe drought year of 2006. The ranking of streamflow as the 16th smallest for the 1925–2011 period, despite precipitation being ranked the 2d smallest, may have been caused, in part, by the relatively large streamflow in northeastern Oklahoma during water year 2011.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135018","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Shivers, M.J., and Andrews, W.J., 2013, Hydrologic drought of water year 2011 compared to four major drought periods of the 20th century in Oklahoma: U.S. Geological Survey Scientific Investigations Report 2013-5018, vii, 52 p., https://doi.org/10.3133/sir20135018.","productDescription":"vii, 52 p.","numberOfPages":"63","additionalOnlineFiles":"N","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":274448,"type":{"id":15,"text":"Index 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,{"id":70046773,"text":"ofr20131148 - 2013 - Mercury bioaccumulation in fishes from subalpine lakes of the Wallowa-Whitman National Forest, northeastern Oregon and western Idaho","interactions":[],"lastModifiedDate":"2013-07-02T22:35:05","indexId":"ofr20131148","displayToPublicDate":"2013-07-02T00:00:00","publicationYear":"2013","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":"2013-1148","title":"Mercury bioaccumulation in fishes from subalpine lakes of the Wallowa-Whitman National Forest, northeastern Oregon and western Idaho","docAbstract":"Mercury (Hg) is a globally distributed pollutant that poses considerable risks to human and wildlife health. Over the past 150 years since the advent of the industrial revolution, approximately 80 percent of global emissions have come from anthropogenic sources, largely fossil fuel combustion. As a result, atmospheric deposition of Hg has increased by up to 4-fold above pre-industrial times. Because of their isolation, remote high-elevation lakes represent unique environments for evaluating the bioaccumulation of atmospherically deposited Hg through freshwater food webs, as well as for evaluating the relative importance of Hg loading versus landscape influences on Hg bioaccumulation. The increase in Hg deposition to these systems over the past century, coupled with their limited exposure to direct anthropogenic disturbance make them useful indicators for estimating how changes in Hg emissions may propagate to changes in Hg bioaccumulation and ecological risk. In this study, we evaluated Hg concentrations in fishes of high-elevation, sub-alpine lakes in the Wallowa-Whitman National Forest in northeastern Oregon and western Idaho. Our goals were to (1) assess the magnitude of Hg contamination in small-catchment lakes to evaluate the risk of atmospheric Hg to human and wildlife health, (2) quantify the spatial variability in fish Hg concentrations, and (3) determine the ecological, limnological, and landscape factors that are best correlated with fish total mercury (THg) concentrations in these systems. Across the 28 study lakes, mean THg concentrations of resident salmonid fishes varied as much as 18-fold among lakes. Importantly, our top statistical model explained 87 percent of the variability in fish THg concentrations among lakes with four key landscape and limnological variables— catchment conifer density (basal area of conifers within a lake’s catchment), lake surface area, aqueous dissolved sulfate, and dissolved organic carbon. The basal area of conifers within a lake’s catchment was by far the most important variable explaining fish THg concentrations, with an increase in THg concentrations of more than 400 percent across the forest density spectrum. Across all study lakes, fish THg concentrations ranged from 0.004 to 0.438 milligrams per kilogram wet weight (mg/kg ww). Only a single individual fish sample exceeded the U.S. Environmental Protection Agency’s (USEPA) human health tissue residue criteria of 0.3 mg/kg ww. However, 54 percent of fish (N=177) exceeded the more stringent tissue residue criteria (0.04 mg/kg ww) adopted by the Oregon Department of Environmental Quality to better protect subsistence fishers. Additionally, 2 and 10 percent of fish exceeded levels associated with reduced common loon reproduction and behavior, respectively. Whereas 25 and 68 percent of fish sampled exceeded concentrations deemed protective of mink and kingfisher, respectively. These results suggest that THg concentrations may be present in these lakes at levels associated with ecological risk. It is important to note however, that accurate inference on potential impairment cannot be made within the context of this study design and further research is needed to better quantify these risks.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131148","usgsCitation":"Eagles-Smith, C.A., Herring, G., Johnson, B., and Graw, R., 2013, Mercury bioaccumulation in fishes from subalpine lakes of the Wallowa-Whitman National Forest, northeastern Oregon and western Idaho: U.S. Geological Survey Open-File Report 2013-1148, v, 38 p., https://doi.org/10.3133/ofr20131148.","productDescription":"v, 38 p.","numberOfPages":"47","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":274447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131148.png"},{"id":274445,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1148/"},{"id":274446,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1148/pdf/ofr20131148.pdf"}],"country":"United States","state":"Oregon;Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.8,44.85 ], [ -117.8,46.0 ], [ -116.38,46.0 ], [ -116.38,44.85 ], [ -117.8,44.85 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3e859e4b09630fbdc525a","contributors":{"authors":[{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":480207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Branden L. branden_johnson@usgs.gov","contributorId":4168,"corporation":false,"usgs":true,"family":"Johnson","given":"Branden L.","email":"branden_johnson@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":480206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graw, Rick","contributorId":77824,"corporation":false,"usgs":true,"family":"Graw","given":"Rick","email":"","affiliations":[],"preferred":false,"id":480208,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046767,"text":"ofr20131143 - 2013 - U.S. Department of the Interior South Central Climate Science Center strategic science plan, 2013--18","interactions":[],"lastModifiedDate":"2020-12-10T15:59:10.669585","indexId":"ofr20131143","displayToPublicDate":"2013-07-02T00:00:00","publicationYear":"2013","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":"2013-1143","title":"U.S. Department of the Interior South Central Climate Science Center strategic science plan, 2013--18","docAbstract":"The Department of the Interior (DOI) recognizes and embraces the unprecedented challenges of maintaining our Nation’s rich natural and cultural resources in the 21st century. The magnitude of these challenges demands that the conservation community work together to develop integrated adaptation and mitigation strategies that collectively address the impacts of climate change and other landscape-scale stressors. On September 14, 2009, DOI Secretary Ken Salazar signed Secretarial Order 3289 (amended February 22, 2010) entitled, “Addressing the Impacts of Climate Change on America’s Water, Land, and Other Natural and Cultural Resources.” The Order establishes the foundation for two partner-based conservation science entities to address these unprecedented challenges: Climate Science Centers (CSCs and Landscape Conservation Cooperatives (LCCs). CSCs and LCCs are the Department-wide approach for applying scientific tools to increase understanding of climate change and to coordinate an effective response to its impacts on tribes and the land, water, ocean, fish and wildlife, and cultural-heritage resources that DOI manages. Eight CSCs have been established and are managed through the U.S. Geological Survey (USGS) National Climate Change and Wildlife Science Center (NCCWSC); each CSC works in close collaboration with their neighboring CSCs, as well as those across the Nation, to ensure the best and most efficient science is produced.\n\nThe South Central CSC was established in 2012 through a cooperative agreement with the University of Oklahoma, Texas Tech University, Louisiana State University, the Chickasaw Nation, the Choctaw Nation of Oklahoma, Oklahoma State University, and NOAA’s Geophysical Fluid Dynamics Lab; hereafter termed the ”Consortium” of the South Central CSC. The Consortium has a broad expertise in the physical, biological, natural, and social sciences to address impacts of climate change on land, water, fish and wildlife, ocean, coastal, and cultural resources.\n\nThe South Central CSC will provide scientific information, tools, and techniques that managers and other parties interested in land, water, wildlife, and cultural resources can use to anticipate, monitor, and adapt to climate change, actively engaging LCCs and other partners in translating science into management decisions.\n\nThis document is the first Strategic Science Plan for the South Central CSC (2013-18). Using the January 2011 DOI guidance as a model, this document (1) describes the role and interactions of the South Central CSC among partners and stakeholders including Federal, State, and non-governmental organizations throughout the region; (2) describes a concept of what the center will provide to its partners; (3) defines a context for climate impacts in the south central United States; and (4) establishes the science priorities the center will address through research. Science priorities are currently organized as immediate or future research needs; however, this document is intended to be reevaluated and modified as partner needs change and as scientific work progresses.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131143","usgsCitation":"Winton, K.T., Dalton, M.S., and Shipp, A.A., 2013, U.S. Department of the Interior South Central Climate Science Center strategic science plan, 2013--18: U.S. Geological Survey Open-File Report 2013-1143, vii, 24 p., https://doi.org/10.3133/ofr20131143.","productDescription":"vii, 24 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-044291","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":49157,"text":"Rocky Mountain Regional Office","active":true,"usgs":true}],"links":[{"id":274435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131143.gif"},{"id":274433,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1143/"},{"id":274434,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1143/pdf/ofr2013_1143.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3e85ae4b09630fbdc526a","contributors":{"authors":[{"text":"Winton, Kim T. kwinton@usgs.gov","contributorId":591,"corporation":false,"usgs":true,"family":"Winton","given":"Kim","email":"kwinton@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":480194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalton, Melinda S. 0000-0002-2929-5573 msdalton@usgs.gov","orcid":"https://orcid.org/0000-0002-2929-5573","contributorId":267,"corporation":false,"usgs":true,"family":"Dalton","given":"Melinda","email":"msdalton@usgs.gov","middleInitial":"S.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shipp, Allison A. 0000-0003-2927-8893 aashipp@usgs.gov","orcid":"https://orcid.org/0000-0003-2927-8893","contributorId":338,"corporation":false,"usgs":true,"family":"Shipp","given":"Allison","email":"aashipp@usgs.gov","middleInitial":"A.","affiliations":[{"id":49157,"text":"Rocky Mountain Regional Office","active":true,"usgs":true}],"preferred":true,"id":480193,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046764,"text":"sir20135126 - 2013 - Actual evapotranspiration modeling using the operational Simplified Surface Energy Balance (SSEBop) approach","interactions":[],"lastModifiedDate":"2017-05-31T16:21:40","indexId":"sir20135126","displayToPublicDate":"2013-07-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5126","title":"Actual evapotranspiration modeling using the operational Simplified Surface Energy Balance (SSEBop) approach","docAbstract":"Remote-sensing technology and surface-energy-balance methods can provide accurate and repeatable estimates of actual evapotranspiration (<i>ETa</i>) when used in combination with local weather datasets over irrigated lands. Estimates of <i>ETa</i> may be used to provide a consistent, accurate, and efficient approach for estimating regional water withdrawals for irrigation and associated consumptive use (CU), especially in arid cropland areas that require supplemental water due to insufficient natural supplies from rainfall, soil moisture, or groundwater. <i>ETa</i> in these areas is considered equivalent to CU, and represents the part of applied irrigation water that is evaporated and/or transpired, and is not available for immediate reuse. A recent U.S. Geological Survey study demonstrated the application of the remote-sensing-based Simplified Surface Energy Balance (SSEB) model to estimate 10-year average <i>ETa </i>at 1-kilometer resolution on national and regional scales, and compared those <i>ETa</i> values to the U.S. Geological Survey’s National Water-Use Information Program’s 1995 county estimates of CU. The operational version of the operational SSEB (SSEBop) method is now used to construct monthly, county-level <i>ETa</i> maps of the conterminous United States for the years 2000, 2005, and 2010. The performance of the SSEBop was evaluated using eddy covariance flux tower datasets compiled from 2005 datasets, and the results showed a strong linear relationship in different land cover types across diverse ecosystems in the conterminous United States (correlation coefficient [r] ranging from 0.75 to 0.95). For example, r for woody savannas (0.75), grassland (0.75), forest (0.82), cropland (0.84), shrub land (0.89), and urban (0.95). A comparison of the remote-sensing SSEBop method for estimating <i>ETa</i> and the Hamon temperature method for estimating potential ET (<i>ETp</i>) also was conducted, using regressions of all available county averages of <i>ETa</i> for 2005 and 2010, and yielded correlations of r = 0.60 and r = 0.71, respectively. Correlations generally are stronger in the Southeast where <i>ETa</i> is close to <i>ETp</i>. SSEBop <i>ETa</i> provides more spatial detail and accuracy in the Southwest where irrigation is practiced in a smaller proportion of the region.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135126","collaboration":"Groundwater Resources Program","usgsCitation":"Savoca, M.E., Senay, G., Maupin, M.A., Kenny, J., and Perry, C.A., 2013, Actual evapotranspiration modeling using the operational Simplified Surface Energy Balance (SSEBop) approach: U.S. Geological Survey Scientific Investigations Report 2013-5126, iv, 15 p., https://doi.org/10.3133/sir20135126.","productDescription":"iv, 15 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":274426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135126.jpg"},{"id":274424,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5126/"},{"id":274423,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5126/pdf/sir20135126.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.800,24.50000 ], [ -124.800,49.383333 ], [ -66.9500,49.383333 ], [ -66.9500,24.50000 ], [ -124.800,24.50000 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3e84fe4b09630fbdc5246","contributors":{"authors":[{"text":"Savoca, Mark E. mesavoca@usgs.gov","contributorId":1961,"corporation":false,"usgs":true,"family":"Savoca","given":"Mark","email":"mesavoca@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":66808,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","affiliations":[],"preferred":false,"id":480188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maupin, Molly A. 0000-0002-2695-5505 mamaupin@usgs.gov","orcid":"https://orcid.org/0000-0002-2695-5505","contributorId":951,"corporation":false,"usgs":true,"family":"Maupin","given":"Molly","email":"mamaupin@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenny, Joan F.","contributorId":69132,"corporation":false,"usgs":true,"family":"Kenny","given":"Joan F.","affiliations":[],"preferred":false,"id":480189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perry, Charles A. cperry@usgs.gov","contributorId":2093,"corporation":false,"usgs":true,"family":"Perry","given":"Charles","email":"cperry@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":480187,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046762,"text":"ofr20121244 - 2013 - Monitoring of stage and velocity, for computation of discharge in the Summit Conduit near Summit, Illinois, 2010-2012","interactions":[],"lastModifiedDate":"2013-07-02T10:56:34","indexId":"ofr20121244","displayToPublicDate":"2013-07-02T00:00:00","publicationYear":"2013","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":"2012-1244","title":"Monitoring of stage and velocity, for computation of discharge in the Summit Conduit near Summit, Illinois, 2010-2012","docAbstract":"Lake Michigan diversion accounting is the process used by the U. S. Army Corps of Engineers to quantify the amount of water that is diverted from the Lake Michigan watershed into the Illinois and Mississippi River Basins. A network of streamgages within the Chicago area waterway system monitor tributary river flows and the major river flow on the Chicago Sanitary and Ship Canal near Lemont as one of the instrumental tools used for Lake Michigan diversion accounting. The mean annual discharges recorded by these streamgages are used as additions or deductions to the mean annual discharge recorded by the main stream gaging station currently used in the Lake Michigan diversion accounting process, which is the Chicago Sanitary and Ship Canal near Lemont, Illinois (station number 05536890). A new stream gaging station, Summit Conduit near Summit, Illinois (station number 414757087490401), was installed on September 23, 2010, for the purpose of monitoring stage, velocity, and discharge through the Summit Conduit for the U.S. Army Corps of Engineers in accordance with Lake Michigan diversion accounting. Summit Conduit conveys flow from a small part of the lower Des Plaines River watershed underneath the Des Plaines River directly into the Chicago Sanitary and Ship Canal. Because the Summit Conduit discharges into the Chicago Sanitary and Ship Canal upstream from the stream gaging station at Lemont, Illinois, but does not contain flow diverted from the Lake Michigan watershed, it is considered a flow deduction to the discharge measured by the Lemont stream gaging station in the Lake Michigan diversion accounting process. This report offers a technical summary of the techniques and methods used for the collection and computation of the stage, velocity, and discharge data at the Summit Conduit near Summit, Illinois stream gaging station for the 2011 and 2012 Water Years. The stream gaging station Summit Conduit near Summit, Illinois (station number 414757087490401) is an example of a nonstandard stream gage. Traditional methods of equating stage to discharge historically were not effective. Examples of the nonstandard conditions include the converging tributary flows directly upstream of the gage; the trash rack and walkway near the opening of the conduit introducing turbulence and occasionally entraining air bubbles into the flow; debris within the conduit creating conditions of variable backwater and the constant influx of smaller debris that escapes the trash rack and catches or settles in the conduit and on the equipment. An acoustic Doppler velocity meter was installed to measure stage and velocity to compute discharge. The stage is used to calculate area based the stage-area rating. The index-velocity from the acoustic Doppler velocity meter is applied to the velocity-velocity rating and the product of the two rated values is a rated discharge by the index-velocity method. Nonstandard site conditions prevalent at the Summit Conduit stream gaging station generally are overcome through the index-velocity method. Despite the difficulties in gaging and measurements, improvements continue to be made in data collection, transmission, and measurements. Efforts to improve the site and to improve the ratings continue to improve the quality and quantity of the data available for Lake Michigan diversion accounting.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121244","collaboration":"In cooperation with U.S. Army Corps of Engineers","usgsCitation":"Johnson, K.K., and Goodwin, G.E., 2013, Monitoring of stage and velocity, for computation of discharge in the Summit Conduit near Summit, Illinois, 2010-2012: U.S. Geological Survey Open-File Report 2012-1244, vi, 45 p., appendixes, https://doi.org/10.3133/ofr20121244.","productDescription":"vi, 45 p., appendixes","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":274421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121244.jpg"},{"id":274419,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1244/pdf/ofr2012-1244.pdf"},{"id":274420,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1244/"}],"scale":"100000","projection":"Albers Equal-Area Conic","country":"United States","state":"Illinois","city":"Summit","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.249569,41.499964 ], [ -88.249569,42.154369 ], [ -87.399673,42.154369 ], [ -87.399673,41.499964 ], [ -88.249569,41.499964 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3e859e4b09630fbdc525e","contributors":{"authors":[{"text":"Johnson, Kevin K. 0000-0003-2703-5994 johnsonk@usgs.gov","orcid":"https://orcid.org/0000-0003-2703-5994","contributorId":4220,"corporation":false,"usgs":true,"family":"Johnson","given":"Kevin","email":"johnsonk@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goodwin, Greg E.","contributorId":45987,"corporation":false,"usgs":true,"family":"Goodwin","given":"Greg","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":480182,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045463,"text":"70045463 - 2013 - Expression analysis and identification of antimicrobial peptide transcripts from six North American frog species","interactions":[],"lastModifiedDate":"2013-07-02T11:51:22","indexId":"70045463","displayToPublicDate":"2013-07-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Expression analysis and identification of antimicrobial peptide transcripts from six North American frog species","docAbstract":"Frogs secrete antimicrobial peptides onto their skin. We describe an assay to preserve and analyze antimicrobial peptide transcripts from field-collected skin secretions that will complement existing methods for peptide analysis. We collected skin secretions from 4 North American species in the field in California and 2 species in the laboratory. Most frogs appeared healthy after release; however, Rana boylii in the Sierra Nevada foothills, but not the Coast Range, showed signs of morbidity and 2 died after handling. The amount of total RNA extracted from skin secretions was higher in R. boylii and R. sierrae compared to R. draytonii, and much higher compared to Pseudacris regilla. Interspecies variation in amount of RNA extracted was not explained by size, but for P. regilla it depended upon collection site and date. RNA extracted from skin secretions from frogs handled with bare hands had poor quality compared to frogs handled with gloves or plastic bags. Thirty-four putative antimicrobial peptide precursor transcripts were identified. This study demonstrates that RNA extracted from skin secretions collected in the field is of high quality suitable for use in sequencing or quantitative PCR (qPCR). However, some species do not secrete profusely, resulting in very little extracted RNA. The ability to measure transcript abundance of antimicrobial peptides in field-collected skin secretions complements proteomic analyses and may provide insight into transcriptional mechanisms that could affect peptide abundance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diseases of Aquatic Organisms","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/dao02601","usgsCitation":"Robertson, L.S., Fellers, G.M., Marranca, J.M., and Kleeman, P.M., 2013, Expression analysis and identification of antimicrobial peptide transcripts from six North American frog species: Diseases of Aquatic Organisms, v. 104, no. 3, p. 225-236, https://doi.org/10.3354/dao02601.","productDescription":"12 p.","startPage":"225","endPage":"236","ipdsId":"IP-043741","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":473705,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao02601","text":"Publisher Index Page"},{"id":274430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274428,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/dao02601"}],"volume":"104","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3e856e4b09630fbdc524e","contributors":{"authors":[{"text":"Robertson, Laura S. lrobertson@usgs.gov","contributorId":2288,"corporation":false,"usgs":true,"family":"Robertson","given":"Laura","email":"lrobertson@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":477536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":477537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marranca, Jamie Marie","contributorId":43257,"corporation":false,"usgs":true,"family":"Marranca","given":"Jamie","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":477539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":477538,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046769,"text":"pp1800 - 2013 - Dynamics of land-use change and conservation in the Prairie Pothole Region of the United States: environmental and economic implications with linkages to rural community well-being","interactions":[],"lastModifiedDate":"2014-07-09T08:42:17","indexId":"pp1800","displayToPublicDate":"2013-07-02T00:00:00","publicationYear":"2013","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":"1800","title":"Dynamics of land-use change and conservation in the Prairie Pothole Region of the United States: environmental and economic implications with linkages to rural community well-being","docAbstract":"Rural America has changed dramatically over the last century, from having over half the population living in rural settings to only 20 percent residing in a rural area today, and outmigration of younger populations from rural communities remains a constant issue for local governing officials. A declining tax base and concurrent rising costs for maintenance and repair of aging infrastructure add further challenges to policy decisions. Reduced enrollment has caused school closures or mergers. Farm consolidation and technical advances reduced the demand for local labor. On the positive side, however, record-high commodity prices have amplified farm income to new heights. The increased revenues can lead to farmers spending additional money within the local region, while at the same time increased transportation of products has impacted local infrastructure such as roads and bridges. Such dynamics present challenges for municipal leaders charged with promoting economic development and balanced spending, while at the same time maintaining the way of life and rural character that are so important to area residents. The Prairie Pothole Region (PPR) of the United States covers much of the Northern Great Plains, including parts of North and South Dakota, Minnesota, Iowa, and a small part of Montana, and extends across a broad swath of Alberta and Saskatchewan. The region is defined largely by its rural character but has experienced extensive land conversion over the last century, with agricultural areas replacing native prairie habitat. Additional pressures arise from oil and gas development, global markets for agricultural production, and increased demands for biofuel feedstocks. Record-high commodity prices increase pressure on the native prairie as farmers look for new cropland acres. The volatility of commodity prices has raised fears over the intensity of land conversion to row-crop agriculture, the economic health and resiliency of rural communities, and ultimately, population dynamics and outmigration of younger generations. Land-use pressures are increased by the exponential growth of oil and gas production in the region, where some 8,200 wells are now in production within the Williston Basin of North Dakota, accompanied by increased population pressures on housing and municipal services. The U.S. Department of Agriculture’s Conservation Reserve Program (CRP)--a cropland retirement program with close to 4.8 million acres enrolled in the PPR--faces uncertainty in upcoming legislative actions, with a large majority of property enrollments scheduled to expire by 2017. The CRP historically has provided improved habitat conditions, reductions of soil damage through erosion and loss of nutrients, and sequestration of millions of tons of atmospheric carbon. In turn, wildlife-related recreation levels have increased in many parts of the PPR, with money spent in local communities. Contemporary resource-management and rural-development planning increasingly emphasize the need for diversification and integration of resource-extractive industries with nonmarket-based recreational and amenity values that tie into quality of life. Ultimately, each community is unique in its environmental, social, economic, and fiscal endowments. One rural-development policy may work better in one community than another. In addition, rural-development issues such as migration, job growth, and taxes are diverse in themselves. The goal of this report is to qualitatively and quantitatively discuss the economic impacts of land-use decisions in rural areas, particularly in the PPR.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1800","collaboration":"Prepared in cooperation with the Plains and Prairie Potholes Landscape Conservation Cooperative","usgsCitation":"Gascoigne, W., Hoag, D., Johnson, R., and Koontz, L., 2013, Dynamics of land-use change and conservation in the Prairie Pothole Region of the United States: environmental and economic implications with linkages to rural community well-being: U.S. Geological Survey Professional Paper 1800, vii, 65 p., Appendices, https://doi.org/10.3133/pp1800.","productDescription":"vii, 65 p., Appendices","numberOfPages":"76","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":274440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1800.gif"},{"id":274439,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1800/"},{"id":274438,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1800/pdf/pp1800.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8000,24.500000 ], [ -124.8000,49.383333 ], [ -66.95000,49.383333 ], [ -66.95000,24.500000 ], [ -124.8000,24.500000 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3e856e4b09630fbdc524a","contributors":{"authors":[{"text":"Gascoigne, William gascoignew@usgs.gov","contributorId":4462,"corporation":false,"usgs":true,"family":"Gascoigne","given":"William","email":"gascoignew@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":480198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoag, Dana","contributorId":77809,"corporation":false,"usgs":true,"family":"Hoag","given":"Dana","affiliations":[],"preferred":false,"id":480199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Rex","contributorId":104374,"corporation":false,"usgs":true,"family":"Johnson","given":"Rex","affiliations":[],"preferred":false,"id":480200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":480197,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046759,"text":"ofr20131140 - 2013 - Quantity and quality of stormwater collected from selected stormwater outfalls at industrial sites, Fort Gordon, Georgia, 2012","interactions":[],"lastModifiedDate":"2016-12-08T16:40:17","indexId":"ofr20131140","displayToPublicDate":"2013-07-02T00:00:00","publicationYear":"2013","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":"2013-1140","title":"Quantity and quality of stormwater collected from selected stormwater outfalls at industrial sites, Fort Gordon, Georgia, 2012","docAbstract":"<p>An assessment of the quantity and quality of stormwater runoff associated with industrial activities at Fort Gordon was conducted from January through August 2012. The assessment was provided to satisfy the requirements from a general permit that authorizes the discharge of stormwater under the National Pollutant Discharge Elimination System from a site associated with industrial activities. The stormwater quantity refers to the runoff discharge at the point and time of the runoff sampling. The study was conducted by the U.S. Geological Survey, in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon.</p>\n<p>Stormwater runoff samples were collected from five stations at four industrial sites, including two landfills (SWR11&ndash;1 and SWR11&ndash;2) and three heating and cooling sites, SWR11&ndash;3, SWR11&ndash;4, and SWR11&ndash;5. The assessment included the collection of physical properties, such as dissolved oxygen and pH; the detection of suspended materials (total suspended solids, total fixed solids, and total volatile solids), nutrients and organic compounds, and major and trace inorganic compounds (metals); and for the three heating and cooling sites, the detection of volatile and semivolatile organic compounds.</p>\n<p>Landfill site SWR11&ndash;2 had the greatest total suspended solid concentration (214 milligrams per liter) of all sites and exceeded the daily maximum effluent limit for landfills. Heating and cooling site SWR11&ndash;3 had the greatest total suspended solid concentration (169 milligrams per liter), total fixed solids (101 milligrams per liter), and total volatile solids (68 milligrams per liter) when compared to the three heating and cooling sites. Total nitrogen and phosphorus concentrations were 1.02 and 0.09, and 1.74 and 0.21 milligrams per liter, respectively, at landfill sites SWR11&ndash;1 and SWR11&ndash;2. At heating and cooling sites, total nitrogen and phosphorus concentrations ranged from 0.53 to 1.08 milligrams per liter and 0.07 to 0.1 milligram per liter, respectively, with the highest concentrations measured at site SWR11&ndash;3. Additionally, oil and grease concentrations at all sites were compared to applicable benchmark standards; no sample concentrations exceeded these standards.</p>\n<p>The estimated dissolved concentrations of cadmium, lead, nickel, zinc, mercury, and silver, and the total recoverable concentrations of arsenic and selenium were compared to applicable benchmark levels and to acute and chronic effect aquatic-life criteria for further screening purposes. The estimated dissolved zinc concentration (105 micrograms per liter) at site SWR11&ndash;3 was the only constituent to exceed a benchmark standard (40 micrograms per liter). Estimated dissolved zinc concentrations at sites SWR11&ndash;4 and SWR11&ndash;5 exceeded acute and chronic effect aquatic-life criteria. Estimated dissolved concentrations of lead exceeded the chronic effect aquatic-life criteria at all sites and exceeded the acute effect criteria at site SWR11&ndash;3. Acute and chronic effect aquatic-life criteria for dissolved cadmium were exceeded at site SWR11&ndash;3.</p>\n<p>Samples from sites SWR11&ndash;3, SWR11&ndash;4, and SWR11&ndash;5 were analyzed for 83 volatile and semivolatile organic compounds. Eight polycyclic aromatic hydrocarbon compounds, benzo[<i>a</i>]pyrene, benzo[<i>b</i>]fluoranthene, benzo[<i>ghi</i>]perylene, benzo[<i>k</i>]fluoranthene, chrysene, indeno[1,2,3-<i>cd</i>]pyrene, phenanthrene, and pyrene, were detected at all three sites. Of the 86 volatile and semivolatile organic compounds that were analyzed in stormwater samples from heating and cooling sites, 15 (18 percent) were detected at site SWR11&ndash;3, 12 (14 percent) were detected at site SWR11&ndash;4, and 17 (20 percent) were detected at site SWR11&ndash;5.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131140","collaboration":"Prepared in cooperation with the U.S. Department of the Army Environmental and Natural Resources Management Office of the U.S. Army Signal Center and Fort Gordon","usgsCitation":"Nagle, D.D., 2013, Quantity and quality of stormwater collected from selected stormwater outfalls at industrial sites, Fort Gordon, Georgia, 2012 (Version 1.0: July 2013; Version 1.1: March 20, 2015): U.S. Geological Survey Open-File Report 2013-1140, v, 24 p., https://doi.org/10.3133/ofr20131140.","productDescription":"v, 24 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":298844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274409,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1140/"},{"id":274410,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1140/pdf/ofr2013-1140.pdf","text":"Report","size":"1.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Georgia","otherGeospatial":"Fort Gordon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.258333,33.35 ], [ -82.258333,33.433333 ], [ -82.133333,33.433333 ], [ -82.133333,33.35 ], [ -82.258333,33.35 ] ] ] } } ] }","edition":"Version 1.0: July 2013; Version 1.1: March 20, 2015","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3e85ae4b09630fbdc5266","contributors":{"authors":[{"text":"Nagle, Doug D. ddnagle@usgs.gov","contributorId":2697,"corporation":false,"usgs":true,"family":"Nagle","given":"Doug","email":"ddnagle@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":480177,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043587,"text":"70043587 - 2013 - Relationships between nutrient enrichment, pleurocerid snail density and trematode infection rate in streams","interactions":[],"lastModifiedDate":"2013-07-15T16:23:11","indexId":"70043587","displayToPublicDate":"2013-07-01T16:19:08","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between nutrient enrichment, pleurocerid snail density and trematode infection rate in streams","docAbstract":"Summary\n\n1. Nutrient enrichment is a widespread environmental problem in freshwater ecosystems. Eutrophic conditions caused by nutrient enrichment may result in a higher prevalence of infection by trematode parasites in host populations, due to greater resource availability for the molluscan first intermediate hosts.\n\n2. This study examined relationships among land use, environmental variables indicating eutrophication, population density of the pleurocerid snail, Leptoxis carinata, and trematode infections. Fifteen study sites were located in streams within the Shenandoah River catchment (Virginia, U.S.A.), where widespread nutrient enrichment has occurred.\n\n3. Snail population density had a weak positive relationship with stream water nutrient concentration. Snail population density also increased as human activities within stream catchments increased, but density did not continue to increase in catchments where anthropogenic disturbance was greatest.\n\n4. Cercariae from five families of trematodes were identified in L. carinata, and infection rate was generally low (<10%). Neither total infection rate nor the infection rate of individual trematode types showed a positive relationship with snail population density, nutrients or land use.\n\n5. There were statistically significant but weak relationships between the prevalence of infection by two trematode families and physical and biological variables. The prevalence of Notocotylidae was positively related to water depth, which may be related to habitat use by definitive hosts. Prevalence of Opecoelidae had a negative relationship with orthophosphate concentration and a polynomial relationship with chlorophyll a concentration. Transmission of Opecoelid trematodes between hosts may be inhibited by eutrophic conditions.\n\n6. Leptoxis carinata appears to be a useful species for monitoring the biological effects of eutrophication and investigating trematode transmission dynamics in lotic systems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/fwb.12135","usgsCitation":"Ciparis, S., Iwanowicz, D., and Voshell, J.R., 2013, Relationships between nutrient enrichment, pleurocerid snail density and trematode infection rate in streams: Freshwater Biology, v. 58, no. 7, p. 1392-1404, https://doi.org/10.1111/fwb.12135.","productDescription":"13 p.","startPage":"1392","endPage":"1404","ipdsId":"IP-040739","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":275026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275025,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/fwb.12135"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.6754,36.5408 ], [ -83.6754,39.466 ], [ -75.2422,39.466 ], [ -75.2422,36.5408 ], [ -83.6754,36.5408 ] ] ] } } ] }","volume":"58","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-04-02","publicationStatus":"PW","scienceBaseUri":"51e519efe4b069f8d27ccb2b","contributors":{"authors":[{"text":"Ciparis, Serena","contributorId":87827,"corporation":false,"usgs":true,"family":"Ciparis","given":"Serena","email":"","affiliations":[],"preferred":false,"id":473904,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Deborah D.","contributorId":33599,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah D.","affiliations":[],"preferred":false,"id":473903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voshell, J. Reese Jr.","contributorId":9941,"corporation":false,"usgs":true,"family":"Voshell","given":"J.","suffix":"Jr.","email":"","middleInitial":"Reese","affiliations":[],"preferred":false,"id":473902,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048506,"text":"70048506 - 2013 - Demographic variation, reintroduction, and persistence of an island duck (<i>Anas laysanensis</i>)","interactions":[],"lastModifiedDate":"2013-11-15T10:24:39","indexId":"70048506","displayToPublicDate":"2013-07-01T16:17:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Demographic variation, reintroduction, and persistence of an island duck (<i>Anas laysanensis</i>)","docAbstract":"Population variation in life history can be important for predicting successful establishment and persistence of reintroduced populations of endangered species. The Laysan duck (Anas laysanensis) is an endangered bird native to the Hawaiian Archipelago that was extirpated from most islands after the introduction of mammalian predators. Laysan ducks were restricted to a single remote island, Laysan Island (4.1 km<sup>2</sup>), for nearly 150 years. Since the species is not known to disperse between distant Hawaiian Islands today, 42 wild birds from Laysan Island were translocated to another mammalian predator-free low-lying atoll (Midway Atoll; 6.0 km<sup>2</sup>) to reduce extinction risk. We explored how variation in demography influences establishment and longer-term retention of genetic diversity (rare alleles) for reintroductions of this species. We observed dramatic differences in population growth between the source (λ = 1.18) and reintroduced (λ = 3.28) population. The number of eggs hatched at Midway Atoll was greater than at Laysan Island, however, we found no difference in hatching success (proportion of clutch hatched) between populations. Adult females produced 3 times as many fledglings per breeding year on Midway Atoll compared to Laysan Island. We estimated population abundance of both populations until 2010 and applied a Gompertz model with a Bayesian approach to infer density dependence, process variation, observation error, and carrying capacity for the Laysan Island and Midway Atoll populations. The carrying capacity from the Gompertz model for Midway Atoll (K = 883 ± 210 SD) was estimated to be greater than that of Laysan Island (K = 598 ± 76 SD). Translocations with small numbers of founders and no immigration can create population bottlenecks, leading to loss of genetic variation over time, and potentially reducing the reintroduced population's viability or its potential to serve as a source for future translocations. Therefore, we also assessed the probability of retaining rare alleles in an isolated reintroduced Laysan duck population using life history parameters observed from the Laysan Island and Midway Atoll populations; we concluded that additional founders are needed under scenarios using demographic estimates from both Laysan Island and Midway Atoll to retain either 90% or 95% of source population genetic diversity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.582","usgsCitation":"Reynolds, M.H., Weiser, E., Jamieson, I., and Hatfield, J., 2013, Demographic variation, reintroduction, and persistence of an island duck (<i>Anas laysanensis</i>): Journal of Wildlife Management, v. 77, no. 6, p. 1094-1103, https://doi.org/10.1002/jwmg.582.","productDescription":"10 p.","startPage":"1094","endPage":"1103","numberOfPages":"10","ipdsId":"IP-045426","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":278289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278288,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.582"}],"country":"United States","otherGeospatial":"Laysan Island;Midway Atoll","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -178.62,25.78 ], [ -178.62,28.96 ], [ -171.72,28.96 ], [ -171.72,25.78 ], [ -178.62,25.78 ] ] ] } } ] }","volume":"77","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-07-11","publicationStatus":"PW","scienceBaseUri":"52625863e4b079a99629a0f6","contributors":{"authors":[{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":484871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weiser, Emily","contributorId":49267,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","affiliations":[],"preferred":false,"id":484873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jamieson, Ian","contributorId":9567,"corporation":false,"usgs":true,"family":"Jamieson","given":"Ian","email":"","affiliations":[],"preferred":false,"id":484872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatfield, Jeffrey S. jhatfield@usgs.gov","contributorId":151,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeffrey S.","email":"jhatfield@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":484870,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048502,"text":"70048502 - 2013 - Modeling the colonization of Hawaii by hoary bats (<i>Lasiurus cinereus</i>)","interactions":[],"lastModifiedDate":"2013-11-15T10:23:34","indexId":"70048502","displayToPublicDate":"2013-07-01T15:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Modeling the colonization of Hawaii by hoary bats (<i>Lasiurus cinereus</i>)","docAbstract":"The Hawaiian archipelago, the most isolated cluster of islands on Earth, has been colonized successfully twice by bats. The putative “lava tube bat” of Hawaii is extinct, whereas the Hawaiian Hoary Bat, Lasiurus cinereus semotus, survives as an endangered species. We conducted a three-stage analysis to identify conditions under which hoary bats originally colonized Hawaii. We used FLIGHT to determine if stores of fat would provide the energy necessary to fly from the Farallon Islands (California) to Hawaii, a distance of 3,665 km. The Farallons are a known stopover and the closest landfall to Hawaii for hoary bats during migrations within North America. Our modeling variables included physiological, morphological, and behavioral data characterizing North American Hoary Bat populations. The second step of our modeling process investigated the potential limiting factor of water during flight. The third step in our modeling examines the role that prevailing trade winds may have played in colonization flights. Of our 36 modeling scenarios, 17 (47 %) require tailwind assistance within the range of observed wind speeds, and 7 of these scenarios required <10 m s<sup>−1</sup> tailwinds as regularly expected due to easterly trade winds. Therefore the climatic conditions needed for bats to colonize Hawaii may not occur infrequently either in contemporary times or since the end of the Pleistocene. Hawaii’s hoary bats have undergone divergence from mainland populations resulting in smaller body size and unique pelage color.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bat Evolution, Ecology, and Conservation","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Springer","publisherLocation":"New York","doi":"10.1007/978-1-4614-7397-8_10","isbn":"9781461473961","usgsCitation":"Bonaccorso, F., and McGuire, L.P., 2013, Modeling the colonization of Hawaii by hoary bats (<i>Lasiurus cinereus</i>), chap. <i>of</i> Bat Evolution, Ecology, and Conservation, p. 187-205, https://doi.org/10.1007/978-1-4614-7397-8_10.","productDescription":"19 p.","startPage":"187","endPage":"205","numberOfPages":"19","ipdsId":"IP-038836","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":278661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278660,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/978-1-4614-7397-8_10"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -178.31,18.91 ], [ -178.31,28.4 ], [ -154.81,28.4 ], [ -154.81,18.91 ], [ -178.31,18.91 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2013-07-08","publicationStatus":"PW","scienceBaseUri":"5274cd7ee4b089748f072438","contributors":{"authors":[{"text":"Bonaccorso, Frank J.","contributorId":73089,"corporation":false,"usgs":true,"family":"Bonaccorso","given":"Frank J.","affiliations":[],"preferred":false,"id":484859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Liam P.","contributorId":66161,"corporation":false,"usgs":true,"family":"McGuire","given":"Liam","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484858,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}