{"pageNumber":"646","pageRowStart":"16125","pageSize":"25","recordCount":68919,"records":[{"id":70045511,"text":"70045511 - 2012 - Drainage network structure and hydrologic behavior of three lake-rich watersheds on the Arctic Coastal Plain, Alaska","interactions":[],"lastModifiedDate":"2024-04-01T22:17:37.254437","indexId":"70045511","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Drainage network structure and hydrologic behavior of three lake-rich watersheds on the Arctic Coastal Plain, Alaska","docAbstract":"Watersheds draining the Arctic Coastal Plain (ACP) of Alaska are dominated by permafrost and snowmelt runoff that create abundant surface storage in the form of lakes, wetlands, and beaded streams. These surface water elements compose complex drainage networks that affect aquatic ecosystem connectivity and hydrologic behavior. The 4676 km2 Fish Creek drainage basin is composed of three watersheds that represent a gradient of the ACP landscape with varying extents of eolian, lacustrine, and fluvial landforms. In each watershed, we analyzed 2.5-m-resolution aerial photography, a 5-m digital elevation model, and river gauging and climate records to better understand ACP watershed structure and processes. We show that connected lakes accounted for 19 to 26% of drainage density among watersheds and most all channels initiate from lake basins in the form of beaded streams. Of the > 2500 lakes in these watersheds, 33% have perennial streamflow connectivity, and these represent 66% of total lake area extent. Deeper lakes with over-wintering habitat were more abundant in the watershed with eolian sand deposits, while the watershed with marine silt deposits contained a greater extent of beaded streams and shallow thermokarst lakes that provide essential summer feeding habitat. Comparison of flow regimes among watersheds showed that higher lake extent and lower drained lake-basin extent corresponded with lower snowmelt and higher baseflow runoff. Variation in baseflow runoff among watersheds was most pronounced during drought conditions in 2007 with corresponding reduction in snowmelt peak flows the following year. Comparison with other Arctic watersheds indicates that lake area extent corresponds to slower recession of both snowmelt and baseflow runoff. These analyses help refine our understanding of how Arctic watersheds are structured and function hydrologically, emphasizing the important role of lake basins and suggesting how future lake change may impact hydrologic processes.","language":"English","publisher":"Institute of Arctic and Alpine Research (INSTAAR), University of Colorado","doi":"10.1657/1938-4246-44.4.385","usgsCitation":"Arp, C., Whitman, M., Jones, B.M., Kemnitz, R., Grosse, G., and Urban, F., 2012, Drainage network structure and hydrologic behavior of three lake-rich watersheds on the Arctic Coastal Plain, Alaska: Arctic, Antarctic, and Alpine Research, v. 44, no. 4, p. 385-394, https://doi.org/10.1657/1938-4246-44.4.385.","productDescription":"10 p.","startPage":"385","endPage":"394","ipdsId":"IP-040648","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474278,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1657/1938-4246-44.4.385","text":"External Repository"},{"id":271770,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -147.5,\n 69\n ],\n [\n -147.5,\n 71\n ],\n [\n -158,\n 71\n ],\n [\n -158,\n 69\n ],\n [\n -147.5,\n 69\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-01-16","publicationStatus":"PW","scienceBaseUri":"51838ae6e4b0a21483941a92","contributors":{"authors":[{"text":"Arp, C.D.","contributorId":54715,"corporation":false,"usgs":true,"family":"Arp","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":477678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, M.S.","contributorId":66893,"corporation":false,"usgs":true,"family":"Whitman","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":477680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":477677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kemnitz, R.","contributorId":58813,"corporation":false,"usgs":true,"family":"Kemnitz","given":"R.","email":"","affiliations":[],"preferred":false,"id":477679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":477681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Urban, F.E. 0000-0002-1329-1703","orcid":"https://orcid.org/0000-0002-1329-1703","contributorId":34352,"corporation":false,"usgs":true,"family":"Urban","given":"F.E.","affiliations":[],"preferred":false,"id":477676,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70045504,"text":"70045504 - 2012 - Nuclear and mitochondrial markers reveal evidence for genetically segregated cryptic speciation in giant Pacific octopuses from Prince William Sound, Alaska","interactions":[],"lastModifiedDate":"2018-08-20T18:10:07","indexId":"70045504","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Nuclear and mitochondrial markers reveal evidence for genetically segregated cryptic speciation in giant Pacific octopuses from Prince William Sound, Alaska","docAbstract":"Multiple species of large octopus are known from the north Pacific waters around Japan, however only one large species is known in the Gulf of Alaska (the giant Pacific octopus, Enteroctopus dofleini). Current taxonomy of E. dofleini is based on geographic and morphological characteristics, although with advances in genetic technology that is changing. Here, we used two mitochondrial genes (cytochrome b and cytochrome oxidase I), three nuclear genes (rhodopsin, octopine dehydrogenase, and paired-box 6), and 18 microsatellite loci for phylogeographic and phylogenetic analyses of octopuses collected from across southcentral and the eastern Aleutian Islands (Dutch Harbor), Alaska. Our results suggest the presence of a cryptic Enteroctopus species that is allied to, but distinguished from E. dofleini in Prince William Sound, Alaska. Existence of an undescribed and previously unrecognized taxon raises important questions about the taxonomy of octopus in southcentral Alaska waters.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10592-012-0392-4","usgsCitation":"Toussaint, R.K., Scheel, D., Sage, G.K., and Talbot, S.L., 2012, Nuclear and mitochondrial markers reveal evidence for genetically segregated cryptic speciation in giant Pacific octopuses from Prince William Sound, Alaska: Conservation Genetics, v. 13, no. 6, p. 1483-1497, https://doi.org/10.1007/s10592-012-0392-4.","productDescription":"15 p.","startPage":"1483","endPage":"1497","ipdsId":"IP-039661","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":274336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274335,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-012-0392-4"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -148.6828,60.0792 ], [ -148.6828,61.2638 ], [ -145.8051,61.2638 ], [ -145.8051,60.0792 ], [ -148.6828,60.0792 ] ] ] } } ] }","volume":"13","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-08-19","publicationStatus":"PW","scienceBaseUri":"51d2a4ede4b0ca1848338a85","contributors":{"authors":[{"text":"Toussaint, Rebecca K.","contributorId":104376,"corporation":false,"usgs":false,"family":"Toussaint","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":477658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scheel, David","contributorId":53272,"corporation":false,"usgs":false,"family":"Scheel","given":"David","email":"","affiliations":[],"preferred":false,"id":477657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sage, G. Kevin 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":4348,"corporation":false,"usgs":true,"family":"Sage","given":"G.","email":"ksage@usgs.gov","middleInitial":"Kevin","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":477655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":477656,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044954,"text":"70044954 - 2012 - An exploration hydrogeochemical study at the giant Pebble porphyry Cu-Au-Mo deposit, Alaska, USA, using high-resolution ICP-MS","interactions":[],"lastModifiedDate":"2020-09-14T15:15:26.279372","indexId":"70044954","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"An exploration hydrogeochemical study at the giant Pebble porphyry Cu-Au-Mo deposit, Alaska, USA, using high-resolution ICP-MS","docAbstract":"A hydrogeochemical study using high resolution ICP-MS was undertaken at the giant Pebble porphyry Cu-Au-Mo deposit and surrounding mineral occurrences. Surface water and groundwater samples from regional background and the deposit area were collected at 168 sites. Rigorous quality control reveals impressive results at low nanogram per litre (ng/l) levels. Sites with pH values below 5.1 are from ponds in the Pebble West area, where sulphide-bearing rubble crop is thinly covered. Relative to other study area waters, anomalous concentrations of Cu, Cd, K, Ni, Re, the REE, Tl, SO42− and F− are present in water samples from Pebble West. Samples from circum-neutral waters at Pebble East and parts of Pebble West, where cover is much thicker, have anomalous concentrations of Ag, As, In, Mn, Mo, Sb, Th, U, V, and W. Low-level anomalous concentrations for most of these elements were also found in waters surrounding nearby porphyry and skarn mineral occurrences. Many of these elements are present in low ng/l concentration ranges and would not have been detected using traditional quadrupole ICP-MS. Hydrogeochemical exploration paired with high resolution ICP-MS is a powerful new tool in the search for concealed deposits.","language":"English","publisher":"Geological Society of London","publisherLocation":"Washington, D.C.","doi":"10.1144/1467-7873/11-RA-070","usgsCitation":"Eppinger, R.G., Fey, D.L., Giles, S.A., Kelley, K., and Smith, S.M., 2012, An exploration hydrogeochemical study at the giant Pebble porphyry Cu-Au-Mo deposit, Alaska, USA, using high-resolution ICP-MS: Geochemistry: Exploration, Environment, Analysis, v. 12, no. 3, p. 211-226, https://doi.org/10.1144/1467-7873/11-RA-070.","productDescription":"16 p.","startPage":"211","endPage":"226","ipdsId":"IP-029509","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":270652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Pebble","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.533203125,\n 59.70655581142613\n ],\n [\n -154.8193359375,\n 59.70655581142613\n ],\n [\n -154.8193359375,\n 60.343260013555195\n ],\n [\n -156.533203125,\n 60.343260013555195\n ],\n [\n -156.533203125,\n 59.70655581142613\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5163e6e3e4b0b7010f82014e","contributors":{"authors":[{"text":"Eppinger, Robert G. eppinger@usgs.gov","contributorId":849,"corporation":false,"usgs":true,"family":"Eppinger","given":"Robert","email":"eppinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":476505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giles, Stuart A. 0000-0002-8696-5078 sgiles@usgs.gov","orcid":"https://orcid.org/0000-0002-8696-5078","contributorId":1233,"corporation":false,"usgs":true,"family":"Giles","given":"Stuart","email":"sgiles@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":476507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelley, Karen D. 0000-0002-3232-5809","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":57817,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen D.","affiliations":[],"preferred":false,"id":476509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Steven M. 0000-0003-3591-5377 smsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-3591-5377","contributorId":1460,"corporation":false,"usgs":true,"family":"Smith","given":"Steven","email":"smsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":476508,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70043373,"text":"70043373 - 2012 - Identifying potential areas for biofuel production and evaluating the environmental effects: a case study of the James River Basin in the Midwestern United States","interactions":[],"lastModifiedDate":"2013-06-05T14:46:15","indexId":"70043373","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1718,"text":"GCB Bioenergy","active":true,"publicationSubtype":{"id":10}},"title":"Identifying potential areas for biofuel production and evaluating the environmental effects: a case study of the James River Basin in the Midwestern United States","docAbstract":"Biofuels are now an important resource in the United States because of the Energy Independence and Security Act of 2007. Both increased corn growth for ethanol production and perennial dedicated energy crop growth for cellulosic feedstocks are potential sources to meet the rising demand for biofuels. However, these measures may cause adverse environmental consequences that are not yet fully understood. This study 1) evaluates the long-term impacts of increased frequency of corn in the crop rotation system on water quantity and quality as well as soil fertility in the James River Basin and 2) identifies potential grasslands for cultivating bioenergy crops (e.g. switchgrass), estimating the water quality impacts. We selected the soil and water assessment tool, a physically based multidisciplinary model, as the modeling approach to simulate a series of biofuel production scenarios involving crop rotation and land cover changes. The model simulations with different crop rotation scenarios indicate that decreases in water yield and soil nitrate nitrogen (NO3-N) concentration along with an increase in NO3-N load to stream water could justify serious concerns regarding increased corn rotations in this basin. Simulations with land cover change scenarios helped us spatially classify the grasslands in terms of biomass productivity and nitrogen loads, and we further derived the relationship of biomass production targets and the resulting nitrogen loads against switchgrass planting acreages. The suggested economically efficient (planting acreage) and environmentally friendly (water quality) planting locations and acreages can be a valuable guide for cultivating switchgrass in this basin. This information, along with the projected environmental costs (i.e. reduced water yield and increased nitrogen load), can contribute to decision support tools for land managers to seek the sustainability of biofuel development in this region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GCB Bioenergy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1757-1707.2012.01164.x","usgsCitation":"Wu, Y., Liu, S., and Li, Z., 2012, Identifying potential areas for biofuel production and evaluating the environmental effects: a case study of the James River Basin in the Midwestern United States: GCB Bioenergy, v. 4, no. 6, p. 875-888, https://doi.org/10.1111/j.1757-1707.2012.01164.x.","productDescription":"14 p.","startPage":"875","endPage":"888","ipdsId":"IP-033265","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474133,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1757-1707.2012.01164.x","text":"Publisher Index Page"},{"id":273334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273333,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1757-1707.2012.01164.x"}],"country":"United States","state":"Missouri","otherGeospatial":"James River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.7747,35.9957 ], [ -95.7747,40.6136 ], [ -89.0995,40.6136 ], [ -89.0995,35.9957 ], [ -95.7747,35.9957 ] ] ] } } ] }","volume":"4","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-02-27","publicationStatus":"PW","scienceBaseUri":"51b05de6e4b030b51980122f","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Zhengpeng","contributorId":80812,"corporation":false,"usgs":true,"family":"Li","given":"Zhengpeng","affiliations":[],"preferred":false,"id":473497,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043701,"text":"70043701 - 2012 - Early indications of soil recovery from acidic deposition in U.S. red spruce forests","interactions":[],"lastModifiedDate":"2013-05-07T09:37:29","indexId":"70043701","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Early indications of soil recovery from acidic deposition in U.S. red spruce forests","docAbstract":"Forty to fifty percent decreases in acidic deposition through the 1980s and 1990s led to partial recovery of acidified surface waters in the northeastern United States; however, the limited number of studies that have assessed soil change found increased soil acidification during this period. From existing data, it's not clear whether soils continued to worsen in the 1990s or if recovery had begun. To evaluate possible changes in soils through the 1990s, soils in six red spruce (Picea rubens Sarg.) stands in New York, Vermont, New Hampshire, and Maine, first sampled in 1992 to 1993, were resampled in 2003 to 2004. The Oa-horizon pH increased (P < 0.01) at three sites, was marginally higher (P < 0.1) at one site, and lower (P < 0.05) at the New York site. Total C concentrations in Oa horizons decreased (P < 0.05) at sites where the pH increased, but the cause is uncertain. Exchangeable Al concentrations in Oa horizons decreased (P < 0.05) 20 to 40% at all sites except New York, which showed no change. The Al decrease can be attributed to decreased deposition of SO42−, which decreased the mobility of Al throughout the upper soil profile. Results indicate a nascent recovery driven largely by vegetation processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Soil Science Society of America Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Soil Science Society of America","doi":"10.2136/sssaj2011.0415","usgsCitation":"Lawrence, G.B., Shortle, W.C., David, M.B., Smith, K.T., Warby, R.A., and Lapenis, A.G., 2012, Early indications of soil recovery from acidic deposition in U.S. red spruce forests: Soil Science Society of America Journal, v. 76, no. 4, p. 1407-1417, https://doi.org/10.2136/sssaj2011.0415.","productDescription":"11 p.","startPage":"1407","endPage":"1417","ipdsId":"IP-034293","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":271913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271911,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2136/sssaj2011.0415"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"76","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518a2264e4b061e1bd533371","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shortle, Walter C.","contributorId":64130,"corporation":false,"usgs":true,"family":"Shortle","given":"Walter","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":474122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"David, Mark B.","contributorId":43255,"corporation":false,"usgs":false,"family":"David","given":"Mark","email":"","middleInitial":"B.","affiliations":[{"id":35161,"text":"University of Illinois, Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":474120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kevin T.","contributorId":58512,"corporation":false,"usgs":true,"family":"Smith","given":"Kevin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":474121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warby, Richard A.F.","contributorId":94950,"corporation":false,"usgs":true,"family":"Warby","given":"Richard","email":"","middleInitial":"A.F.","affiliations":[],"preferred":false,"id":474123,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lapenis, Andrei G.","contributorId":96985,"corporation":false,"usgs":true,"family":"Lapenis","given":"Andrei","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":474124,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70044034,"text":"70044034 - 2012 - Estimating occupancy in large landscapes: evaluation of amphibian monitoring in the greater Yellowstone ecosystem","interactions":[],"lastModifiedDate":"2013-05-12T21:54:41","indexId":"70044034","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occupancy in large landscapes: evaluation of amphibian monitoring in the greater Yellowstone ecosystem","docAbstract":"Monitoring of natural resources is crucial to ecosystem conservation, and yet it can pose many challenges. Annual surveys for amphibian breeding occupancy were conducted in Yellowstone and Grand Teton National Parks over a 4-year period (2006–2009) at two scales: catchments (portions of watersheds) and individual wetland sites. Catchments were selected in a stratified random sample with habitat quality and ease of access serving as strata. All known wetland sites with suitable habitat were surveyed within selected catchments. Changes in breeding occurrence of tiger salamanders, boreal chorus frogs, and Columbia-spotted frogs were assessed using multi-season occupancy estimation. Numerous a priori models were considered within an information theoretic framework including those with catchment and site-level covariates. Habitat quality was the most important predictor of occupancy. Boreal chorus frogs demonstrated the greatest increase in breeding occupancy at the catchment level. Larger changes for all 3 species were detected at the finer site-level scale. Connectivity of sites explained occupancy rates more than other covariates, and may improve understanding of the dynamic processes occurring among wetlands within this ecosystem. Our results suggest monitoring occupancy at two spatial scales within large study areas is feasible and informative.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-012-0273-0","usgsCitation":"Gould, W., Patla, D.A., Daley, R., Corn, P., Hossack, B.R., Bennetts, R.E., and Peterson, C.R., 2012, Estimating occupancy in large landscapes: evaluation of amphibian monitoring in the greater Yellowstone ecosystem: Wetlands, v. 32, no. 2, p. 379-389, https://doi.org/10.1007/s13157-012-0273-0.","productDescription":"11 p.","startPage":"379","endPage":"389","ipdsId":"IP-032982","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":272193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272192,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-012-0273-0"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park;Grand Teton National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.16,43.54 ], [ -111.16,45.11 ], [ -109.83,45.11 ], [ -109.83,43.54 ], [ -111.16,43.54 ] ] ] } } ] }","volume":"32","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-02-09","publicationStatus":"PW","scienceBaseUri":"5190b9e0e4b05ebc8f7cc33c","contributors":{"authors":[{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":474680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patla, Debra A.","contributorId":40059,"corporation":false,"usgs":true,"family":"Patla","given":"Debra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daley, Rob","contributorId":14282,"corporation":false,"usgs":true,"family":"Daley","given":"Rob","affiliations":[],"preferred":false,"id":474677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corn, Paul Stephen 0000-0002-4106-6335","orcid":"https://orcid.org/0000-0002-4106-6335","contributorId":107379,"corporation":false,"usgs":true,"family":"Corn","given":"Paul Stephen","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":474682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":474676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennetts, Robert E.","contributorId":62508,"corporation":false,"usgs":true,"family":"Bennetts","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peterson, Charles R.","contributorId":95738,"corporation":false,"usgs":true,"family":"Peterson","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474681,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70043697,"text":"70043697 - 2012 - Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data","interactions":[],"lastModifiedDate":"2013-04-08T20:39:43","indexId":"70043697","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1768,"text":"Geografiska Annaler, Series A: Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data","docAbstract":"The estimation of ice/snow accumulation is of great significance in quantifying the mass balance of ice sheets and variation in water resources. Improving the accuracy and reducing uncertainty has been a challenge for the estimation of annual accumulation over the Greenland ice sheet. In this study, we kriged and analyzed the spatial pattern of accumulation based on an observation data series including 315 points used in a recent research, plus 101 ice cores and snow pits and newly compiled 23 coastal weather station data. The estimated annual accumulation over the Greenland ice sheet is 31.2 g cm−2 yr−1, with a standard error of 0.9 g cm−2 yr−1. The main differences between the improved map developed in this study and the recently published accumulation maps are in the coastal areas, especially southeast and southwest regions. The analysis of accumulations versus elevation reveals the distribution patterns of accumulation over the Greenland ice sheet.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geografiska Annaler, Series A: Physical Geography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1468-0459.2012.00458.x","usgsCitation":"Shen, D., Liu, Y., and Huang, S., 2012, Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data: Geografiska Annaler, Series A: Physical Geography, v. 94, no. 3, p. 377-393, https://doi.org/10.1111/j.1468-0459.2012.00458.x.","productDescription":"17 p.","startPage":"377","endPage":"393","ipdsId":"IP-031311","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":270676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270675,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1468-0459.2012.00458.x"}],"country":"Greenland","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.0,59.8 ], [ -73.0,83.6 ], [ -11.3,83.6 ], [ -11.3,59.8 ], [ -73.0,59.8 ] ] ] } } ] }","volume":"94","issue":"3","noUsgsAuthors":false,"publicationDate":"2016-11-15","publicationStatus":"PW","scienceBaseUri":"5163e6e7e4b0b7010f820164","contributors":{"authors":[{"text":"Shen, Dayong","contributorId":71079,"corporation":false,"usgs":true,"family":"Shen","given":"Dayong","email":"","affiliations":[],"preferred":false,"id":474117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Yuling","contributorId":96171,"corporation":false,"usgs":true,"family":"Liu","given":"Yuling","email":"","affiliations":[],"preferred":false,"id":474118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Shengli shuang@usgs.gov","contributorId":1926,"corporation":false,"usgs":true,"family":"Huang","given":"Shengli","email":"shuang@usgs.gov","affiliations":[],"preferred":true,"id":474116,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044410,"text":"70044410 - 2012 - Resolving hyporheic and groundwater components of streambed water flux","interactions":[],"lastModifiedDate":"2013-04-09T15:25:50","indexId":"70044410","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Resolving hyporheic and groundwater components of streambed water flux","docAbstract":"Hyporheic and groundwater fluxes typically occur together in permeable sediments beneath flowing stream water. However, streambed water fluxes quantified using the thermal method are usually interpreted as representing either groundwater or hyporheic fluxes. Our purpose was to improve understanding of co-occurring groundwater and hyporheic fluxes using streambed temperature measurements and analysis of one-dimensional heat transport in shallow streambeds. First, we examined how changes in hyporheic and groundwater fluxes affect their relative magnitudes by reevaluating previously published simulations. These indicated that flux magnitudes are largely independent until a threshold is crossed, past which hyporheic fluxes are diminished by much larger (1000-fold) groundwater fluxes. We tested accurate quantification of co-occurring fluxes using one-dimensional approaches that are appropriate for analyzing streambed temperature data collected at field sites. The thermal analytical method, which uses an analytical solution to the one-dimensional heat transport equation, was used to analyze results from a numerical heat transport model, in which hyporheic flow was represented as increased thermal dispersion at shallow depths. We found that co-occurring groundwater and hyporheic fluxes can be quantified in streambeds, although not always accurately. For example, using a temperature time series collected in a sandy streambed, we found that hyporheic and groundwater flow could both be detected when thermal dispersion due to hyporheic flow was significant compared to thermal conduction. We provide guidance for when thermal data can be used to quantify both hyporheic and groundwater fluxes, and we show that neglecting thermal dispersion may affect accuracy and interpretation of estimated streambed water fluxes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR011784","usgsCitation":"Bhaskar, A., Harvey, J.W., and Henry, E.J., 2012, Resolving hyporheic and groundwater components of streambed water flux: Water Resources Research, v. 48, no. 8, W08524, https://doi.org/10.1029/2011WR011784.","productDescription":"W08524","ipdsId":"IP-039262","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474130,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011784","text":"Publisher Index Page"},{"id":270719,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011784"},{"id":270721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-08-29","publicationStatus":"PW","scienceBaseUri":"51653872e4b077fa94dae017","contributors":{"authors":[{"text":"Bhaskar, Aditi S.","contributorId":62488,"corporation":false,"usgs":true,"family":"Bhaskar","given":"Aditi S.","affiliations":[],"preferred":false,"id":475539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Eric J.","contributorId":44810,"corporation":false,"usgs":true,"family":"Henry","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475538,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043339,"text":"70043339 - 2012 - Directional connectivity in hydrology and ecology","interactions":[],"lastModifiedDate":"2013-04-25T12:12:57","indexId":"70043339","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Directional connectivity in hydrology and ecology","docAbstract":"Quantifying hydrologic and ecological connectivity has contributed to understanding transport and dispersal processes and assessing ecosystem degradation or restoration potential. However, there has been little synthesis across disciplines. The growing field of ecohydrology and recent recognition that loss of hydrologic connectivity is leading to a global decline in biodiversity underscore the need for a unified connectivity concept. One outstanding need is a way to quantify directional connectivity that is consistent, robust to variations in sampling, and transferable across scales or environmental settings. Understanding connectivity in a particular direction (e.g., streamwise, along or across gradient, between sources and sinks, along cardinal directions) provides critical information for predicting contaminant transport, planning conservation corridor design, and understanding how landscapes or hydroscapes respond to directional forces like wind or water flow. Here we synthesize progress on quantifying connectivity and develop a new strategy for evaluating directional connectivity that benefits from use of graph theory in ecology and percolation theory in hydrology. The directional connectivity index (DCI) is a graph-theory based, multiscale metric that is generalizable to a range of different structural and functional connectivity applications. It exhibits minimal sensitivity to image rotation or resolution within a given range and responds intuitively to progressive, unidirectional change. Further, it is linearly related to the integral connectivity scale length—a metric common in hydrology that correlates well with actual fluxes—but is less computationally challenging and more readily comparable across different landscapes. Connectivity-orientation curves (i.e., directional connectivity computed over a range of headings) provide a quantitative, information-dense representation of environmental structure that can be used for comparison or detection of subtle differences in the physical-biological feedbacks driving pattern formation. Case-study application of the DCI to the Everglades in south Florida revealed that loss of directional hydrologic connectivity occurs more rapidly and is a more sensitive indicator of declining ecosystem function than other metrics (e.g., habitat area) used previously. Here and elsewhere, directional connectivity can provide insight into landscape drivers and processes, act as an early-warning indicator of environmental degradation, and serve as a planning tool or performance measure for conservation and restoration efforts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","doi":"10.1890/11-1948.1","usgsCitation":"Larsen, L., Choi, J., Nungesser, M.K., and Harvey, J.W., 2012, Directional connectivity in hydrology and ecology: Ecological Applications, v. 22, no. 8, p. 2204-2220, https://doi.org/10.1890/11-1948.1.","productDescription":"17 p.","startPage":"2204","endPage":"2220","ipdsId":"IP-037690","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":271469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271468,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1948.1"}],"volume":"22","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517a5069e4b072c16ef14b1e","contributors":{"authors":[{"text":"Larsen, Laurel G.","contributorId":42111,"corporation":false,"usgs":true,"family":"Larsen","given":"Laurel G.","affiliations":[],"preferred":false,"id":473426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Jungyill","contributorId":70792,"corporation":false,"usgs":true,"family":"Choi","given":"Jungyill","email":"","affiliations":[],"preferred":false,"id":473428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nungesser, Martha K.","contributorId":43254,"corporation":false,"usgs":true,"family":"Nungesser","given":"Martha","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":473427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":473425,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042839,"text":"70042839 - 2012 - Conceptual model of sedimentation in the Sacramento-San Joaquin River Delta","interactions":[],"lastModifiedDate":"2021-01-05T18:03:09.591392","indexId":"70042839","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Conceptual model of sedimentation in the Sacramento-San Joaquin River Delta","docAbstract":"Sedimentation in the Sacramento–San Joaquin River Delta builds the Delta landscape, creates benthic and pelagic habitat, and transports sediment-associated contaminants. Here we present a conceptual model of sedimentation that includes submodels for river supply from the watershed to the Delta, regional transport within the Delta and seaward exchange, and local sedimentation in open water and marsh habitats. The model demonstrates feedback loops that affect the Delta ecosystem. Submerged and emergent marsh vegetation act as ecosystem engineers that can create a positive feedback loop by decreasing suspended sediment, increasing water column light, which in turn enables more vegetation. Sea-level rise in open water is partially countered by a negative feedback loop that increases deposition if there is a net decrease in hydrodynamic energy. Manipulation of regional sediment transport is probably the most feasible method to control suspended sediment and thus turbidity. The conceptual model is used to identify information gaps that need to be filled to develop an accurate sediment transport model.","language":"English","publisher":"University of California","doi":"10.15447/sfews.2012v10iss3art3","usgsCitation":"Schoellhamer, D., Wright, S., and Drexler, J., 2012, Conceptual model of sedimentation in the Sacramento-San Joaquin River Delta: San Francisco Estuary and Watershed Science, v. 10, no. 3, 25 p., https://doi.org/10.15447/sfews.2012v10iss3art3.","productDescription":"25 p.","ipdsId":"IP-021663","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":489004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2012v10iss3art3","text":"Publisher Index Page"},{"id":381885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.53,37.15 ], [ -123.53,38.85 ], [ -120.83,38.85 ], [ -120.83,37.15 ], [ -123.53,37.15 ] ] ] } } ] }","volume":"10","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-10-22","publicationStatus":"PW","scienceBaseUri":"51751748e4b074c2b05564b0","contributors":{"authors":[{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drexler, Judith Z. 0000-0002-0127-3866","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":8941,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith Z.","affiliations":[],"preferred":false,"id":472370,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045755,"text":"70045755 - 2012 - Glass wool filters for concentrating waterborne viruses and agricultural zoonotic pathogens","interactions":[],"lastModifiedDate":"2018-07-14T13:45:36","indexId":"70045755","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2498,"text":"Journal of Visualized Experiments","active":true,"publicationSubtype":{"id":10}},"title":"Glass wool filters for concentrating waterborne viruses and agricultural zoonotic pathogens","docAbstract":"The key first step in evaluating pathogen levels in suspected contaminated water is concentration. Concentration methods tend to be specific for a particular pathogen group, for example US Environmental Protection Agency Method 1623 for Giardia and Cryptosporidium1, which means multiple methods are required if the sampling program is targeting more than one pathogen group. Another drawback of current methods is the equipment can be complicated and expensive, for example the VIRADEL method with the 1MDS cartridge filter for concentrating viruses2. In this article we describe how to construct glass wool filters for concentrating waterborne pathogens. After filter elution, the concentrate is amenable to a second concentration step, such as centrifugation, followed by pathogen detection and enumeration by cultural or molecular methods. The filters have several advantages. Construction is easy and the filters can be built to any size for meeting specific sampling requirements. The filter parts are inexpensive, making it possible to collect a large number of samples without severely impacting a project budget. Large sample volumes (100s to 1,000s L) can be concentrated depending on the rate of clogging from sample turbidity. The filters are highly portable and with minimal equipment, such as a pump and flow meter, they can be implemented in the field for sampling finished drinking water, surface water, groundwater, and agricultural runoff. Lastly, glass wool filtration is effective for concentrating a variety of pathogen types so only one method is necessary. Here we report on filter effectiveness in concentrating waterborne human enterovirus, Salmonella enterica, Cryptosporidium parvum, and avian influenza virus.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Visualized Experiments","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"JoVE","doi":"10.3791/3930","usgsCitation":"Millen, H.T., Gonnering, J.C., Berg, R.K., Spencer, S., Jokela, W.E., Pearce, J.M., Borchardt, J., and Borchardt, M., 2012, Glass wool filters for concentrating waterborne viruses and agricultural zoonotic pathogens: Journal of Visualized Experiments, v. 61, e3930, https://doi.org/10.3791/3930.","productDescription":"e3930","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":474124,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.3791/3930","text":"External Repository"},{"id":271752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271751,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3791/3930"}],"volume":"61","noUsgsAuthors":false,"publicationDate":"2012-03-03","publicationStatus":"PW","scienceBaseUri":"51838ae9e4b0a21483941aae","contributors":{"authors":[{"text":"Millen, Hana T. htmillen@usgs.gov","contributorId":4017,"corporation":false,"usgs":true,"family":"Millen","given":"Hana","email":"htmillen@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":478290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonnering, Jordan C. jgonneri@usgs.gov","contributorId":5199,"corporation":false,"usgs":true,"family":"Gonnering","given":"Jordan","email":"jgonneri@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":478291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berg, Ryan K.","contributorId":89784,"corporation":false,"usgs":true,"family":"Berg","given":"Ryan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":478295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Susan K.","contributorId":39511,"corporation":false,"usgs":true,"family":"Spencer","given":"Susan K.","affiliations":[],"preferred":false,"id":478293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jokela, William E.","contributorId":32806,"corporation":false,"usgs":true,"family":"Jokela","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":478292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":478289,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Borchardt, Jackson S.","contributorId":81388,"corporation":false,"usgs":true,"family":"Borchardt","given":"Jackson S.","affiliations":[],"preferred":false,"id":478294,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borchardt, Mark A.","contributorId":106255,"corporation":false,"usgs":true,"family":"Borchardt","given":"Mark A.","affiliations":[],"preferred":false,"id":478296,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70045427,"text":"70045427 - 2012 - Ball clay","interactions":[],"lastModifiedDate":"2013-04-16T10:55:08","indexId":"70045427","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Ball clay","docAbstract":"Four companies — H.C. Spinks Clay Co., Inc., Imerys Group, Old Hickory Clay Co., and Unimin Corp. — mined ball clay in four states in 2011. Production, on the basis of preliminary data, was 940 kt (1.04 million st) with an estimated value of $44.2 million. This is a 3-percent increase in tonnage from 912 kt (1.01 million st) with a value of $41.3 million that was produced in 2010. Tennessee was the leading producing state with 63 percent of domestic production, followed by Texas, Mississippi and Kentucky. About 69 percent of production was airfloat, 20 percent was crude and 11 percent was water-slurried.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","publisherLocation":"Englewood, CO","usgsCitation":"Virta, R., 2012, Ball clay: Mining Engineering, v. 64, no. 6, p. 33-34.","productDescription":"2 p.","startPage":"33","endPage":"34","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e72e1e4b00154e4368b94","contributors":{"authors":[{"text":"Virta, R.L.","contributorId":39357,"corporation":false,"usgs":true,"family":"Virta","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":477490,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044797,"text":"70044797 - 2012 - Geologic processes influence the effects of mining on aquatic ecosystems","interactions":[],"lastModifiedDate":"2013-06-20T12:00:12","indexId":"70044797","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Geologic processes influence the effects of mining on aquatic ecosystems","docAbstract":"Geologic processes strongly influence water and sediment quality in aquatic ecosystems but rarely are geologic principles incorporated into routine biomonitoring studies. We test if elevated concentrations of metals in water and sediment are restricted to streams downstream of mines or areas that may discharge mine wastes. We surveyed 198 catchments classified as “historically mined” or “unmined,” and based on mineral-deposit criteria, to determine whether water and sediment quality were influenced by naturally occurring mineralized rock, by historical mining, or by a combination of both. By accounting for different geologic sources of metals to the environment, we were able to distinguish aquatic ecosystems limited by metals derived from natural processes from those due to mining. Elevated concentrations of metals in water and sediment were not restricted to mined catchments; depauperate aquatic communities were found in unmined catchments. The type and intensity of hydrothermal alteration and the mineral deposit type were important determinants of water and sediment quality as well as the aquatic community in both mined and unmined catchments. This study distinguished the effects of different rock types and geologic sources of metals on ecosystems by incorporating basic geologic processes into reference and baseline site selection, resulting in a refined assessment. Our results indicate that biomonitoring studies should account for natural sources of metals in some geologic environments as contributors to the effect of mines on aquatic ecosystems, recognizing that in mining-impacted drainages there may have been high pre-mining background metal concentrations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","doi":"10.1890/11-0806.1","usgsCitation":"Schmidt, T., Clements, W.H., Wanty, R.B., Verplanck, P.L., Church, S.E., San Juan, C.A., Fey, D.L., Rockwell, B.W., DeWitt, E.H., and Klein, T.L., 2012, Geologic processes influence the effects of mining on aquatic ecosystems: Ecological Applications, v. 22, no. 3, p. 870-879, https://doi.org/10.1890/11-0806.1.","productDescription":"10 p.","startPage":"870","endPage":"879","ipdsId":"IP-017393","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":274030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274029,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-0806.1"}],"volume":"22","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42460e4b03c77dce65a48","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clements, William H.","contributorId":39504,"corporation":false,"usgs":true,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":476330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Church, Stan E. schurch@usgs.gov","contributorId":803,"corporation":false,"usgs":true,"family":"Church","given":"Stan","email":"schurch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":476333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"San Juan, Carma A. 0000-0002-9151-1919 csanjuan@usgs.gov","orcid":"https://orcid.org/0000-0002-9151-1919","contributorId":1146,"corporation":false,"usgs":true,"family":"San Juan","given":"Carma","email":"csanjuan@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476334,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":476331,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":476337,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DeWitt, Ed H.","contributorId":16543,"corporation":false,"usgs":true,"family":"DeWitt","given":"Ed","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476338,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Klein, Terry L. tklein@usgs.gov","contributorId":1244,"corporation":false,"usgs":true,"family":"Klein","given":"Terry","email":"tklein@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476335,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70044357,"text":"70044357 - 2012 - Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model","interactions":[],"lastModifiedDate":"2013-04-09T14:54:58","indexId":"70044357","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model","docAbstract":"Improved predictions of hyporheic exchange based on easily measured physical variables are needed to improve assessment of solute transport and reaction processes in watersheds. Here we compare physically based model predictions for an Indiana stream with stream tracer results interpreted using the Transient Storage Model (TSM). We parameterized the physically based, Multiscale Model (MSM) of stream-groundwater interactions with measured stream planform and discharge, stream velocity, streambed hydraulic conductivity and porosity, and topography of the streambed at distinct spatial scales (i.e., ripple, bar, and reach scales). We predicted hyporheic exchange fluxes and hyporheic residence times using the MSM. A Continuous Time Random Walk (CTRW) model was used to convert the MSM output into predictions of in stream solute transport, which we compared with field observations and TSM parameters obtained by fitting solute transport data. MSM simulations indicated that surface-subsurface exchange through smaller topographic features such as ripples was much faster than exchange through larger topographic features such as bars. However, hyporheic exchange varies nonlinearly with groundwater discharge owing to interactions between flows induced at different topographic scales. MSM simulations showed that groundwater discharge significantly decreased both the volume of water entering the subsurface and the time it spent in the subsurface. The MSM also characterized longer timescales of exchange than were observed by the tracer-injection approach. The tracer data, and corresponding TSM fits, were limited by tracer measurement sensitivity and uncertainty in estimates of background tracer concentrations. Our results indicate that rates and patterns of hyporheic exchange are strongly influenced by a continuum of surface-subsurface hydrologic interactions over a wide range of spatial and temporal scales rather than discrete processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1029/2011WR011582","usgsCitation":"Stonedahl, S.H., Harvey, J.W., Detty, J., Aubeneau, A., and Packman, A., 2012, Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model: Water Resources Research, v. 48, no. 10, W10513, https://doi.org/10.1029/2011WR011582.","productDescription":"W10513","ipdsId":"IP-040699","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011582","text":"Publisher Index Page"},{"id":270711,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011582"},{"id":270712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-10-06","publicationStatus":"PW","scienceBaseUri":"51653871e4b077fa94dae00c","contributors":{"authors":[{"text":"Stonedahl, Susa H.","contributorId":66145,"corporation":false,"usgs":true,"family":"Stonedahl","given":"Susa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":475365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Detty, Joel","contributorId":12347,"corporation":false,"usgs":true,"family":"Detty","given":"Joel","email":"","affiliations":[],"preferred":false,"id":475362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aubeneau, Antoine","contributorId":44057,"corporation":false,"usgs":true,"family":"Aubeneau","given":"Antoine","email":"","affiliations":[],"preferred":false,"id":475364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Packman, Aaron I.","contributorId":15092,"corporation":false,"usgs":true,"family":"Packman","given":"Aaron I.","affiliations":[],"preferred":false,"id":475363,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042777,"text":"70042777 - 2012 - Ecological effects of climate change on salt marsh wildlife: a case study from a highly urbanized estuary","interactions":[],"lastModifiedDate":"2017-08-23T09:20:56","indexId":"70042777","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Ecological effects of climate change on salt marsh wildlife: a case study from a highly urbanized estuary","docAbstract":"Coastal areas are high-risk zones subject to the impacts of global climate change, with significant increases in the frequencies of extreme weather and storm events, and sea-level rise forecast by 2100. These physical processes are expected to alter estuaries, resulting in loss of intertidal wetlands and their component wildlife species. In particular, impacts to salt marshes and their wildlife will vary both temporally and spatially and may be irreversible and severe. Synergistic effects caused by combining stressors with anthropogenic land-use patterns could create areas of significant biodiversity loss and extinction, especially in urbanized estuaries that are already heavily degraded. In this paper, we discuss current ideas, challenges, and concerns regarding the maintenance of salt marshes and their resident wildlife in light of future climate conditions. We suggest that many salt marsh habitats are already impaired and are located where upslope transgression is restricted, resulting in reduction and loss of these habitats in the future. In addition, we conclude that increased inundation frequency and water depth will have negative impacts on the demography of small or isolated wildlife meta-populations as well as their community interactions. We illustrate our points with a case study on the Pacific Coast of North America at San Pablo Bay National Wildlife Refuge in California, an area that supports endangered wildlife species reliant on salt marshes for all aspects of their life histories.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-11-00136.1","usgsCitation":"Thorne, K.M., Takekawa, J.Y., and Elliott-Fisk, D., 2012, Ecological effects of climate change on salt marsh wildlife: a case study from a highly urbanized estuary: Journal of Coastal Research, v. 28, no. 6, p. 1477-1487, https://doi.org/10.2112/JCOASTRES-D-11-00136.1.","productDescription":"11 p.","startPage":"1477","endPage":"1487","ipdsId":"IP-030907","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":272056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272055,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/JCOASTRES-D-11-00136.1"}],"volume":"28","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518a2266e4b061e1bd533384","contributors":{"authors":[{"text":"Thorne, Karen M. 0000-0002-1381-0657 kthorne@usgs.gov","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":4191,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen","email":"kthorne@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":472236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":472235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott-Fisk, Deborah L.","contributorId":46859,"corporation":false,"usgs":true,"family":"Elliott-Fisk","given":"Deborah L.","affiliations":[],"preferred":false,"id":472237,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044028,"text":"70044028 - 2012 - Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf","interactions":[],"lastModifiedDate":"2013-06-27T10:39:50","indexId":"70044028","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf","docAbstract":"Starting in Late Pleistocene time (~19 ka), sea level rise inundated coastal zones worldwide. On some parts of the present-day circum-Arctic continental shelf, this led to flooding and thawing of formerly subaerial permafrost and probable dissociation of associated gas hydrates. Relict permafrost has never been systematically mapped along the 700-km-long U.S. Beaufort Sea continental shelf and is often assumed to extend to ~120 m water depth, the approximate amount of sea level rise since the Late Pleistocene. Here, 5,000 km of multichannel seismic (MCS) data acquired between 1977 and 1992 were examined for high-velocity (>2.3 km s−1) refractions consistent with ice-bearing, coarse-grained sediments. Permafrost refractions were identified along <5% of the tracklines at depths of ~5 to 470 m below the seafloor. The resulting map reveals the minimum extent of subsea ice-bearing permafrost, which does not extend seaward of 30 km offshore or beyond the 20 m isobath.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2012GL052222","usgsCitation":"Brothers, L., Hart, P.E., and Ruppel, C., 2012, Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf: Geophysical Research Letters, v. 39, no. 15, L15501, https://doi.org/10.1029/2012GL052222.","productDescription":"L15501","ipdsId":"IP-035632","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474144,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5375","text":"External Repository"},{"id":274270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274269,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GL052222"}],"otherGeospatial":"Beaufort Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.1,66.3 ], [ -156.1,74.7 ], [ -104.0,74.7 ], [ -104.0,66.3 ], [ -156.1,66.3 ] ] ] } } ] }","volume":"39","issue":"15","noUsgsAuthors":false,"publicationDate":"2012-08-07","publicationStatus":"PW","scienceBaseUri":"51cd5ee2e4b0e7a904971bd2","contributors":{"authors":[{"text":"Brothers, Laura L.","contributorId":96132,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura L.","affiliations":[],"preferred":false,"id":474662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":474661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppel, Carolyn D.","contributorId":102322,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","affiliations":[],"preferred":false,"id":474663,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044977,"text":"70044977 - 2012 - Avian botulism and avian chlamydiosis in wild water birds, Benton Lake National Wildlife Refuge, Montana, USA","interactions":[],"lastModifiedDate":"2023-10-24T10:52:06.744119","indexId":"70044977","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2514,"text":"Journal of Zoo and Wildlife Medicine","active":true,"publicationSubtype":{"id":10}},"title":"Avian botulism and avian chlamydiosis in wild water birds, Benton Lake National Wildlife Refuge, Montana, USA","docAbstract":"

In 1999, the U.S. Geological Survey (USGS) National Wildlife Health Center, Madison, Wisconsin, conducted a diagnostic investigation into a water bird mortality event involving intoxication with avian botulism type C and infection with avian chlamydiosis at the Benton Lake National Wildlife Refuge in Montana, USA. Of 24 carcasses necropsied, 11 had lesions consistent with avian chlamydiosis, including two that tested positive for infectious Chlamydophila psittaci, and 12 were positive for avian botulism type C. One bird tested positive for both avian botulism type C and C. psittaci. Of 61 apparently healthy water birds sampled and released, 13 had serologic evidence of C. psittaci infection and 7 were, at the time of capture, shedding infectious C. psittaci via the cloacal or oropharyngeal route. Since more routinely diagnosed disease conditions may mask avian chlamydiosis, these findings support the need for a comprehensive diagnostic investigation when determining the cause of a wildlife mortality event.

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Binational management of groundwater is not currently proposed. University and agency researchers plus USA and Mexican federal, state, and local agency staff have collaboratively identified key challenges facing the Santa Cruz River Valley Aquifer located between the states of Arizona and Sonora. The aquifer is subject to recharge variability, which is compounded by climate change, and is experiencing growing urban demand for groundwater. In this paper, we briefly review past, current, and projected pressures on Santa Cruz groundwater. We undertake first-order approximation of the relative magnitude of climate change and human demand drivers on the Santa Cruz water balance. Global circulation model output for emissions scenarios A1B, B1, and A2 present mixed trends, with annual precipitation projected to vary by ±20% over the 21st century. Results of our analysis indicate that urban water use will experience greater percentage change than climate-induced recharge (which remains the largest single component of the water balance). In the Mexican portion of the Santa Cruz, up to half of future total water demand will need to be met from non-aquifer sources. In the absence of water importation and with agricultural water use and rights increasingly appropriated for urban demand, wastewater is increasingly seen as a resource to meet urban demand. 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Water resources data are published annually for use by engineers, scientists, managers, educators, and the general public. These archival products supplement direct access to current and historical water data provided by NWISWeb. Beginning with Water Year 2006, annual water data reports are available as individual electronic Site Data Sheets for the entire Nation for retrieval, download, and localized printing on demand. National distribution includes tabular and map interfaces for search, query, display and download of data. From 1962 until 2005, reports were published by State as paper documents, although most reports since the mid-1990s are also available in electronic form through this web page. Reports prior to 1962 were published in occasional USGS Water-Supply Papers and other reports.

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substantial seismic energy, but little is known about the specific mechanisms that produce calving icequakes. At Yahtse Glacier, a tidewater glacier on the Gulf of Alaska, we draw upon a local network of seismometers and focus on 80 hours of concurrent, direct observation of the terminus to show that calving is the dominant source of seismicity. To elucidate seismogenic mechanisms, we synchronized video and seismograms to reveal that the majority of seismic energy is produced during iceberg interactions with the sea surface. Icequake peak amplitudes coincide with the emergence of high velocity jets of water and ice from the fjord after the complete submergence of falling icebergs below sea level. These icequakes have dominant frequencies between 1 and 3 Hz. Detachment of an iceberg from the terminus produces comparatively weak seismic waves at frequencies between 5 and 20 Hz. Our observations allow us to suggest that the most powerful sources of calving icequakes at Yahtse Glacier include iceberg-sea surface impact, deceleration under the influence of drag and buoyancy, and cavitation. Numerical simulations of seismogenesis during iceberg-sea surface interactions support our observational evidence. Our new understanding of iceberg-sea surface interactions allows us to reattribute the sources of calving seismicity identified in earlier studies and offer guidance for the future use of seismology in monitoring iceberg calving.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1029/2012JF002513","usgsCitation":"Bartholomaus, T., Larsen, C., O’Neel, S., and West, M., 2012, Calving seismicity from iceberg-sea surface interactions: Journal of Geophysical Research F: Earth Surface, v. 117, no. F4, F04029, https://doi.org/10.1029/2012JF002513.","productDescription":"F04029","ipdsId":"IP-041321","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":488128,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012jf002513","text":"Publisher Index Page"},{"id":271291,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012JF002513"},{"id":271292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"F4","noUsgsAuthors":false,"publicationDate":"2012-12-22","publicationStatus":"PW","scienceBaseUri":"5173b8e2e4b0e619a5806eb2","contributors":{"authors":[{"text":"Bartholomaus, T.C.","contributorId":94569,"corporation":false,"usgs":true,"family":"Bartholomaus","given":"T.C.","affiliations":[],"preferred":false,"id":477780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, C.F.","contributorId":96091,"corporation":false,"usgs":true,"family":"Larsen","given":"C.F.","email":"","affiliations":[],"preferred":false,"id":477781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, M.E.","contributorId":51173,"corporation":false,"usgs":true,"family":"West","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":477778,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042472,"text":"70042472 - 2012 - Bathythermal habitat use by strains of Great Lakes- and Finger Lakes-origin lake trout in Lake Huron after a change in prey fish abundance and composition","interactions":[],"lastModifiedDate":"2013-02-28T14:55:35","indexId":"70042472","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Bathythermal habitat use by strains of Great Lakes- and Finger Lakes-origin lake trout in Lake Huron after a change in prey fish abundance and composition","docAbstract":"A study conducted in Lake Huron during October 1998–June 2001 found that strains of Great Lakes-origin (GLO) lake trout Salvelinus namaycush occupied significantly higher temperatures than did Finger Lakes-origin (FLO; New York) lake trout based on data from archival (or data storage) telemetry tags that recorded only temperature. During 2002 and 2003, we implanted archival tags that recorded depth as well as temperature in GLO and FLO lake trout in Lake Huron. Data subsequently recorded by those tags spanned 2002–2005. Based on those data, we examined whether temperatures and depths occupied by GLO and FLO lake trout differed during 2002–2005. Temperatures occupied during those years were also compared with occupied temperatures reported for 1998–2001, before a substantial decline in prey fish biomass. Temperatures occupied by GLO lake trout were again significantly higher than those occupied by FLO lake trout. This result supports the conclusion of the previous study. The GLO lake trout also occupied significantly shallower depths than FLO lake trout. In 2002–2005, both GLO and FLO lake trout occupied significantly lower temperatures than they did in 1998–2001. Aside from the sharp decline in prey fish biomass between study periods, the formerly abundant pelagic alewife Alosa pseudoharengus virtually disappeared and the demersal round goby Neogobius melanostomus invaded the lake and became locally abundant. The lower temperatures occupied by lake trout in Lake Huron during 2002–2005 may be attributable to changes in the composition of the prey fish community, food scarcity (i.e., a retreat to cooler water could increase conversion efficiency), or both.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis Online","publisherLocation":"Philadelphia, PA","doi":"10.1080/00028487.2011.651069","usgsCitation":"Bergstedt, R.A., Argyle, R.L., Krueger, C., and Taylor, W., 2012, Bathythermal habitat use by strains of Great Lakes- and Finger Lakes-origin lake trout in Lake Huron after a change in prey fish abundance and composition: Transactions of the American Fisheries Society, v. 141, no. 2, p. 263-274, https://doi.org/10.1080/00028487.2011.651069.","productDescription":"12 p.","startPage":"263","endPage":"274","ipdsId":"IP-019052","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268586,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2011.651069"},{"id":268589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Huron","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.71,42.92 ], [ -84.71,46.04 ], [ -81.63,46.04 ], [ -81.63,42.92 ], [ -84.71,42.92 ] ] ] } } ] }","volume":"141","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-02-14","publicationStatus":"PW","scienceBaseUri":"51308a7be4b04c194073adaf","contributors":{"authors":[{"text":"Bergstedt, Roger A. rbergstedt@usgs.gov","contributorId":4174,"corporation":false,"usgs":true,"family":"Bergstedt","given":"Roger","email":"rbergstedt@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Argyle, Ray L.","contributorId":9993,"corporation":false,"usgs":true,"family":"Argyle","given":"Ray","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":471604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":471606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":471605,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042756,"text":"70042756 - 2012 - A process-based hierarchical framework for monitoring glaciated alpine headwaters","interactions":[],"lastModifiedDate":"2013-02-26T19:44:28","indexId":"70042756","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A process-based hierarchical framework for monitoring glaciated alpine headwaters","docAbstract":"Recent studies have demonstrated the geomorphic complexity and wide range of hydrologic regimes found in alpine headwater channels that provide complex habitats for aquatic taxa. These geohydrologic elements are fundamental to better understand patterns in species assemblages and indicator taxa and are necessary to aquatic monitoring protocols that aim to track changes in physical conditions. Complex physical variables shape many biological and ecological traits, including life history strategies, but these mechanisms can only be understood if critical physical variables are adequately represented within the sampling framework. To better align sampling design protocols with current geohydrologic knowledge, we present a conceptual framework that incorporates regional-scale conditions, basin-scale longitudinal profiles, valley-scale glacial macroform structure, valley segment-scale (i.e., colluvial, alluvial, and bedrock), and reach-scale channel types. At the valley segment- and reach-scales, these hierarchical levels are associated with differences in streamflow and sediment regime, water source contribution and water temperature. Examples of linked physical-ecological hypotheses placed in a landscape context and a case study using the proposed framework are presented to demonstrate the usefulness of this approach for monitoring complex temporal and spatial patterns and processes in glaciated basins. This approach is meant to aid in comparisons between mountain regions on a global scale and to improve management of potentially endangered alpine species affected by climate change and other stressors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00267-012-9957-8","usgsCitation":"Weekes, A.A., Torgersen, C., Montgomery, D.R., Woodward, A., and Bolton, S.M., 2012, A process-based hierarchical framework for monitoring glaciated alpine headwaters: Environmental Management, v. 50, no. 6, p. 982-997, https://doi.org/10.1007/s00267-012-9957-8.","productDescription":"18 p.","startPage":"982","endPage":"997","ipdsId":"IP-030293","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":268422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268421,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-012-9957-8"}],"volume":"50","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-10-12","publicationStatus":"PW","scienceBaseUri":"53cd4a5be4b0b290850efb8a","contributors":{"authors":[{"text":"Weekes, Anne A.","contributorId":11870,"corporation":false,"usgs":true,"family":"Weekes","given":"Anne","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":472168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":472169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montgomery, David R.","contributorId":67389,"corporation":false,"usgs":true,"family":"Montgomery","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":472170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":472167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bolton, Susan M.","contributorId":76987,"corporation":false,"usgs":true,"family":"Bolton","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472171,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70003596,"text":"70003596 - 2012 - Estimating and predicting collection probability of fish at dams using multistate modeling","interactions":[],"lastModifiedDate":"2013-06-10T08:56:00","indexId":"70003596","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Estimating and predicting collection probability of fish at dams using multistate modeling","docAbstract":"Dams can be equipped with a bypass that routes a portion of the fish that enter the turbine intakes away\nfrom the powerhouse into flumes, where they can be counted. Daily passage abundance can be estimated by dividing\nthe number of fish counted in the bypass by the sampling rate and then dividing the resulting quotient by\nthe collection probability (i.e., the proportion of the fish population passing the dam that is bypassed). We used\nmultistate mark–recapture modeling to evaluate six candidate models for predicting the collection probabilities of\nradio-tagged subyearling fall Chinook salmon (n = 3,852) as a function of 1–2-d time periods (general model), four\ndifferent combinations of outflow (i.e., the total volume of water passing the dam) and turbine allocation (i.e., the\nproportion of outflow directed through the turbines), and a null (intercept only) model. The best-fit model was\nthe additive combination of turbine allocation and outflow, which explained 71% of the null deviance. Cross validation\nof the best-fit model accounted for the variation that may arise from different data sets and the ensuing\nparameter values on the collection probability estimates and yielded a standard error of 0.613 that can be used to\nconstruct approximate 95% prediction intervals in nonstudy years. Such estimates have been unavailable and will\nbe useful anywhere estimates of daily passage abundance at dams with bypasses are needed to manage migratory\nfishes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.694828","usgsCitation":"Plumb, J.M., Connor, W.P., Tiffan, K.F., Moffitt, C.M., Perry, R.W., and Adams, N.S., 2012, Estimating and predicting collection probability of fish at dams using multistate modeling: Transactions of the American Fisheries Society, v. 141, no. 5, p. 1364-1373, https://doi.org/10.1080/00028487.2012.694828.","productDescription":"10 p.","startPage":"1364","endPage":"1373","ipdsId":"IP-028831","costCenters":[{"id":342,"text":"Idaho Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273463,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.694828"}],"volume":"141","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-08-16","publicationStatus":"PW","scienceBaseUri":"51b6f566e4b0097a7158e5aa","contributors":{"authors":[{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, William P.","contributorId":107589,"corporation":false,"usgs":false,"family":"Connor","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID 83544","active":true,"usgs":false}],"preferred":false,"id":347882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moffitt, Christine M. 0000-0001-6020-9728 cmoffitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6020-9728","contributorId":2583,"corporation":false,"usgs":true,"family":"Moffitt","given":"Christine","email":"cmoffitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":347877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":347878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":347880,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70003678,"text":"70003678 - 2012 - How to overcome inter-electrode variability and instability to quantify dissolved oxygen, Fe(II), mn(II), and S(−II) in undisturbed soils and sediments using voltammetry","interactions":[],"lastModifiedDate":"2013-03-21T10:57:22","indexId":"70003678","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1755,"text":"Geochemical Transactions","active":true,"publicationSubtype":{"id":10}},"title":"How to overcome inter-electrode variability and instability to quantify dissolved oxygen, Fe(II), mn(II), and S(−II) in undisturbed soils and sediments using voltammetry","docAbstract":"Background -\n\nAlthough uniquely capable of measuring multiple redox constituents nearly simultaneously with no or minimal sample pretreatment, voltammetry is currently underutilized in characterizing redox conditions in aquatic and terrestrial systems. Investigation of undisturbed media such as pore water requires a solid-state electrode, and such electrodes can be difficult to fabricate reproducibly. An approach to determine the concentrations of electroactive constituents using indirectly calibrated electrodes has been developed, but the protocol for and accuracy of this approach—the pilot ion method—has not been documented in detail.\nResults - \n\nA detailed procedure for testing electrode quality is provided, and the application and limitations of the pilot ion method have been documented. To quantify Fe(II) and Mn(II), subtraction of non-linear baseline functions from voltammetric signals produced better calibration curves than did linear baselines, enabled lower detection limits and reliable deconvolution of overlapping signals, and was successfully applied to sediment pore water signals. We observed that electrode sensitivities often vary by tens of percent, and that the sensitivity declines over time. The ratio of calibration slopes of Mn(II) to Fe(II) varied by no more than 11% from one Hg/Au electrode to another and Fe(II) concentrations predicted by the Mn(II) pilot ion were, on average, 13% different from their actual values. However, concentration predictions by the pilot ion method were worse for less than 15 μM Fe(II) (46% different on average). The ratio of calibration slopes of Mn(II) to S(−II) varied by almost 20% from one Hg/Au electrode to another, and S(−II) predicted concentrations were as much as 58% different from their actual values. These predictions of Fe(II) and S(−II) concentrations indicate that the accuracy of the pilot ion method depends on how independent calibration slope ratios are from the electrode used. At medium-to-high concentration for the ocean, naturally derived dissolved organic carbon did not significantly affect the baseline-corrected electrode response of Mn(II) and Fe(II), but did significantly affect the response of S(−II).\nConclusions -\n\nDespite their intrinsic variability, Hg/Au electrodes fabricated by hand can be used to quantify O2, S(−II), Fe(II), and Mn(II) without calibrating every electrode for every constituent of interest. The pilot ion method can achieve accuracies to within 20% or less, provided that the underlying principle—the independence of slope ratios—is demonstrated for all voltammetric techniques used, and effects of the physicochemical properties of the system on voltammetric signals are addressed through baseline subtraction.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemical Transactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisherLocation":"Reston, VA","doi":"10.1186/1467-4866-13-6","usgsCitation":"Slowey, A.J., and Marvin-DiPasquale, M., 2012, How to overcome inter-electrode variability and instability to quantify dissolved oxygen, Fe(II), mn(II), and S(−II) in undisturbed soils and sediments using voltammetry: Geochemical Transactions, v. 13, no. 6, 20 p., https://doi.org/10.1186/1467-4866-13-6.","productDescription":"20 p.","ipdsId":"IP-026570","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":474176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1467-4866-13-6","text":"Publisher Index Page"},{"id":269848,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1467-4866-13-6"},{"id":269849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-06-25","publicationStatus":"PW","scienceBaseUri":"514c2be6e4b0cf4196fef30c","contributors":{"authors":[{"text":"Slowey, Aaron J.","contributorId":30706,"corporation":false,"usgs":true,"family":"Slowey","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":348298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marvin-DiPasquale, Mark","contributorId":57423,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","affiliations":[],"preferred":false,"id":348299,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043288,"text":"70043288 - 2012 - Effects of future climate change, CO2 enrichment, and vegetation structure variation on hydrological processes in China","interactions":[],"lastModifiedDate":"2014-09-18T13:12:41","indexId":"70043288","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Effects of future climate change, CO2 enrichment, and vegetation structure variation on hydrological processes in China","docAbstract":"Investigating the relationship between factors (climate change, atmospheric CO2 concentrations enrichment, and vegetation structure) and hydrological processes is important for understanding and predicting the interaction between the hydrosphere and biosphere. The Integrated Biosphere Simulator (IBIS) was used to evaluate the effects of climate change, rising CO2, and vegetation structure on hydrological processes in China at the end of the 21st century. Seven simulations were implemented using the assemblage of the IPCC climate and CO2 concentration scenarios, SRES A2 and SRES B1. Analysis results suggest that (1) climate change will have increasing effects on runoff, evapotranspiration (ET), transpiration (T), and transpiration ratio (transpiration/evapotranspiration, T/E) in most hydrological regions of China except in the southernmost regions; (2) elevated CO2 concentrations will have increasing effects on runoff at the national scale, but at the hydrological region scale, the physiology effects induced by elevated CO2 concentration will depend on the vegetation types, climate conditions, and geographical background information with noticeable decreasing effects shown in the arid Inland region of China; (3) leaf area index (LAI) compensation effect and stomatal closure effect are the dominant factors on runoff in the arid Inland region and southern moist hydrological regions, respectively; (4) the magnitudes of climate change (especially the changing precipitation pattern) effects on the water cycle are much larger than those of the elevated CO2 concentration effects; however, increasing CO2 concentration will be one of the most important modifiers to the water cycle; (5) the water resource condition will be improved in northern China but depressed in southernmost China under the IPCC climate change scenarios, SRES A2 and SRES B1.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global and Planetary Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2011.10.010","usgsCitation":"Zhu, Q., Jiang, H., Peng, C., Liu, J., Fang, X., Wei, X., Liu, S., and Zhou, G., 2012, Effects of future climate change, CO2 enrichment, and vegetation structure variation on hydrological processes in China: Global and Planetary Change, v. 80-81, p. 123-135, https://doi.org/10.1016/j.gloplacha.2011.10.010.","productDescription":"13 p.","startPage":"123","endPage":"135","ipdsId":"IP-028970","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":272145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272144,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gloplacha.2011.10.010"}],"country":"China","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 73.5,18.2 ], [ 73.5,53.6 ], [ 134.8,53.6 ], [ 134.8,18.2 ], [ 73.5,18.2 ] ] ] } } ] }","volume":"80-81","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518cc565e4b05ebc8f7cc129","contributors":{"authors":[{"text":"Zhu, Qiuan","contributorId":85065,"corporation":false,"usgs":true,"family":"Zhu","given":"Qiuan","affiliations":[],"preferred":false,"id":473294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, Hong","contributorId":33200,"corporation":false,"usgs":true,"family":"Jiang","given":"Hong","affiliations":[],"preferred":false,"id":473292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peng, Changhui","contributorId":8357,"corporation":false,"usgs":true,"family":"Peng","given":"Changhui","affiliations":[],"preferred":false,"id":473291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":473290,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fang, Xiuqin","contributorId":96566,"corporation":false,"usgs":true,"family":"Fang","given":"Xiuqin","affiliations":[],"preferred":false,"id":473296,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wei, Xiaohua","contributorId":106775,"corporation":false,"usgs":true,"family":"Wei","given":"Xiaohua","email":"","affiliations":[],"preferred":false,"id":473297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Shirong","contributorId":54484,"corporation":false,"usgs":true,"family":"Liu","given":"Shirong","affiliations":[],"preferred":false,"id":473293,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhou, Guomo","contributorId":85861,"corporation":false,"usgs":true,"family":"Zhou","given":"Guomo","affiliations":[],"preferred":false,"id":473295,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}