We measured total mercury (THg) concentrations in California sea lions (Zalophus californianus) and examined how concentrations varied with age class, colony, and sex. Because Hg exposure is primarily via diet, we used nitrogen (δ 15N) and carbon (δ 13C) stable isotopes to determine if intraspecific differences in THg concentrations could be explained by feeding ecology. Blood and hair were collected from 21 adult females and 57 juveniles from three colonies in central and southern California (San Nicolas, San Miguel, and Año Nuevo Islands). Total Hg concentrations ranged from 0.01 to 0.31 μg g−1 wet weight (ww) in blood and 0.74 to 21.00 μg g−1 dry weight (dw) in hair. Adult females had greater mean THg concentrations than juveniles in blood (0.15 vs. 0.03 μg−1 ww) and hair (10.10 vs. 3.25 μg−1 dw). Age class differences in THg concentrations did not appear to be driven by trophic level or habitat type because there were no differences in δ 15N or δ 13C values between adults and juveniles. Total Hg concentrations in adult females were 54 % (blood) and 24 % (hair) greater in females from San Miguel than females from San Nicolas Island, which may have been because sea lions from the two islands foraged in different areas. For juveniles, we detected some differences in THg concentrations with colony and sex, although these were likely due to sampling effects and not ecological differences. Overall, THg concentrations in California sea lions were within the range documented for other marine mammals and were generally below toxicity benchmarks for fish-eating wildlife.
","language":"English","publisher":"Springer","publisherLocation":"New York, NY","doi":"10.1007/s00244-015-0201-4","usgsCitation":"McHuron, E.A., Peterson, S.H., Ackerman, J., Melin, S.R., Harris, J.D., and Costa, D.P., 2016, Effects of age, colony, and sex on mercury concentrations in California sea lions: Archives of Environmental Contamination and Toxicology, v. 70, no. 1, p. 46-55, https://doi.org/10.1007/s00244-015-0201-4.","productDescription":"10 p.","startPage":"46","endPage":"55","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062166","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":307841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-11","publicationStatus":"PW","scienceBaseUri":"55e81db0e4b0dacf699e6668","contributors":{"authors":[{"text":"McHuron, Elizibeth A","contributorId":147079,"corporation":false,"usgs":false,"family":"McHuron","given":"Elizibeth","email":"","middleInitial":"A","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":570191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Sarah H.","contributorId":141211,"corporation":false,"usgs":false,"family":"Peterson","given":"Sarah","email":"","middleInitial":"H.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":570192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":570190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melin, Sharon R.","contributorId":147080,"corporation":false,"usgs":false,"family":"Melin","given":"Sharon","email":"","middleInitial":"R.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":570193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harris, Jeffrey D.","contributorId":147081,"corporation":false,"usgs":false,"family":"Harris","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":570194,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Costa, Daniel P.","contributorId":141212,"corporation":false,"usgs":false,"family":"Costa","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":570195,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70156427,"text":"70156427 - 2016 - Mangrove sedimentation and response to relative sea-level rise","interactions":[],"lastModifiedDate":"2016-07-17T23:49:08","indexId":"70156427","displayToPublicDate":"2015-08-01T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":811,"text":"Annual Review of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Mangrove sedimentation and response to relative sea-level rise","docAbstract":"Mangroves occur on upper intertidal shorelines in the tropics and subtropics. Complex hydrodynamic and salinity conditions influence mangrove distributions, primarily related to elevation and hydroperiod; this review considers how these adjust through time. Accumulation rates of allochthonous and autochthonous sediment, both inorganic and organic, vary between and within different settings. Abundant terrigenous sediment can form dynamic mudbanks; tides redistribute sediment, contrasting with mangrove peat in sediment-starved carbonate settings. Sediments underlying mangroves sequester carbon, but also contain paleoenvironmental records of adjustments to past sea-level changes. Radiometric dating indicates long-term sedimentation, whereas Surface Elevation Table-Marker Horizon measurements (SET-MH) provide shorter perspectives, indicating shallow subsurface processes of root growth and substrate autocompaction. Many tropical deltas also experience deep subsidence, which augments relative sea-level rise. The persistence of mangroves implies an ability to cope with moderately high rates of relative sea-level rise. However, many human pressures threaten mangroves, resulting in continuing decline in their extent throughout the tropics.
","language":"English","publisher":"Annual Reviews","publisherLocation":"Palo Alto, CA","doi":"10.1146/annurev-marine-122414-034025","usgsCitation":"Woodroffe, C., Rogers, K., McKee, K.L., Lovelock, C., Mendelssohn, I., and Saintilan, N., 2016, Mangrove sedimentation and response to relative sea-level rise: Annual Review of Marine Science, v. 8, p. 243-266, https://doi.org/10.1146/annurev-marine-122414-034025.","productDescription":"24 p.","startPage":"243","endPage":"266","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064728","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":307117,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d84bb9e4b0518e3546f022","contributors":{"authors":[{"text":"Woodroffe, CD","contributorId":146847,"corporation":false,"usgs":false,"family":"Woodroffe","given":"CD","affiliations":[{"id":16754,"text":"University of Wollongong, Australia","active":true,"usgs":false}],"preferred":false,"id":569137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, K.","contributorId":82823,"corporation":false,"usgs":true,"family":"Rogers","given":"K.","email":"","affiliations":[],"preferred":false,"id":569138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKee, Karen L. 0000-0001-7042-670X mckeek@usgs.gov","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":704,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"mckeek@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":569136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lovelock, CE","contributorId":146848,"corporation":false,"usgs":false,"family":"Lovelock","given":"CE","email":"","affiliations":[{"id":16755,"text":"University of Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":569139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mendelssohn, IA","contributorId":146849,"corporation":false,"usgs":false,"family":"Mendelssohn","given":"IA","email":"","affiliations":[{"id":16756,"text":"Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":569140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saintilan, N.","contributorId":49490,"corporation":false,"usgs":true,"family":"Saintilan","given":"N.","email":"","affiliations":[],"preferred":false,"id":569141,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70156307,"text":"70156307 - 2016 - Compact development and VMT: environmental determinism, self-selection, or some of both?","interactions":[],"lastModifiedDate":"2016-08-03T13:08:49","indexId":"70156307","displayToPublicDate":"2015-08-01T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1526,"text":"Environment and Planning B: Planning and Design","active":true,"publicationSubtype":{"id":10}},"title":"Compact development and VMT: environmental determinism, self-selection, or some of both?","docAbstract":"There is a long-running debate in the planning literature about the effects of the built environment on travel behavior and the degree to which apparent effects are due to the tendency of households to self-select into neighborhoods that reinforce their travel preferences. Those who want to walk will choose walkable neighborhoods, and those who want to use transit will choose transit-served neighborhoods. These households might have walked or used transit more than their neighbors wherever they lived. Most previous studies have shown that individual attitudes attenuate the relationship between the residential environment and travel choices, and so the effect of the built environment on travel may be overestimated. But there are other researchers who argue the reverse, claiming that residential preferences reinforce built environmental influences. This study assesses the relative importance of the built environment and residential preferences/travel attitudes for a sample of 962 households in the Greater Salt Lake region using structural equation modeling. For the sake of simplicity, we extracted two factors using principal component analysis, one representing the built environment and the other representing residential preferences/attitudes. Our findings are consistent with the view that the neighborhood built environment and residential preferences both influence household’s travel, that the built environment is the stronger influence, and that the built environment affects travel through two causal pathways, one direct and the other indirect, through attitudes.
","language":"English","publisher":"Pion Ltd.","publisherLocation":"London,UK","doi":"10.1177/0265813515594811","usgsCitation":"Ewing, R., Hamidi, S., and Grace, J.B., 2016, Compact development and VMT: environmental determinism, self-selection, or some of both?: Environment and Planning B: Planning and Design, v. 43, no. 4, p. 737-755, https://doi.org/10.1177/0265813515594811.","productDescription":"19 p.","startPage":"737","endPage":"755","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052483","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":307099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-03","publicationStatus":"PW","scienceBaseUri":"55d84bb2e4b0518e3546eff4","contributors":{"authors":[{"text":"Ewing, Reid","contributorId":106010,"corporation":false,"usgs":true,"family":"Ewing","given":"Reid","affiliations":[],"preferred":false,"id":569113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamidi, Shima","contributorId":30909,"corporation":false,"usgs":true,"family":"Hamidi","given":"Shima","affiliations":[],"preferred":false,"id":569114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":568622,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156319,"text":"70156319 - 2016 - Using satellite vegetation and compound topographic indices to map highly erodible cropland buffers for cellulosic biofuel crop developments in eastern Nebraska, USA","interactions":[],"lastModifiedDate":"2024-06-17T16:35:56.715747","indexId":"70156319","displayToPublicDate":"2015-08-01T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Using satellite vegetation and compound topographic indices to map highly erodible cropland buffers for cellulosic biofuel crop developments in eastern Nebraska, USA","docAbstract":"Cultivating annual row crops in high topographic relief waterway buffers has negative environmental effects and can be environmentally unsustainable. Growing perennial grasses such as switchgrass (Panicum virgatum L.) for biomass (e.g., cellulosic biofuel feedstocks) instead of annual row crops in these high relief waterway buffers can improve local environmental conditions (e.g., reduce soil erosion and improve water quality through lower use of fertilizers and pesticides) and ecosystem services (e.g., minimize drought and flood impacts on production; improve wildlife habitat, plant vigor, and nitrogen retention due to post-senescence harvest for cellulosic biofuels; and serve as carbon sinks). The main objectives of this study are to: (1) identify cropland areas with high topographic relief (high runoff potentials) and high switchgrass productivity potential in eastern Nebraska that may be suitable for growing switchgrass, and (2) estimate the total switchgrass production gain from the potential biofuel areas. Results indicate that about 140,000 hectares of waterway buffers in eastern Nebraska are suitable for switchgrass development and the total annual estimated switchgrass biomass production for these suitable areas is approximately 1.2 million metric tons. The resulting map delineates high topographic relief croplands and provides useful information to land managers and biofuel plant investors to make optimal land use decisions regarding biofuel crop development and ecosystem service optimization in eastern Nebraska.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolind.2015.06.019","usgsCitation":"Gu, Y., and Wylie, B.K., 2016, Using satellite vegetation and compound topographic indices to map highly erodible cropland buffers for cellulosic biofuel crop developments in eastern Nebraska, USA: Ecological Indicators, v. 60, p. 64-70, https://doi.org/10.1016/j.ecolind.2015.06.019.","productDescription":"7 p.","startPage":"64","endPage":"70","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065626","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307098,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.55810546875,\n 42.99661231842139\n ],\n [\n -99.51416015625,\n 40.01078714046552\n ],\n [\n -95.30639648437499,\n 40.002371935876475\n ],\n [\n -95.38330078125,\n 40.07807142745009\n ],\n [\n -95.38330078125,\n 40.136890695345905\n ],\n [\n -95.42724609375,\n 40.195659093364654\n ],\n [\n -95.47119140625,\n 40.271143686084194\n ],\n [\n -95.570068359375,\n 40.32141999593439\n ],\n [\n -95.60302734375,\n 40.396764305572056\n ],\n [\n -95.64697265625,\n 40.48038142908172\n ],\n [\n -95.64697265625,\n 40.55554790286311\n ],\n [\n -95.723876953125,\n 40.60561205826018\n ],\n [\n -95.78979492187499,\n 40.73893324113603\n ],\n [\n -95.767822265625,\n 40.9052096972736\n ],\n [\n -95.82275390625,\n 41.13729606112276\n ],\n [\n -95.855712890625,\n 41.244772343082104\n ],\n [\n -95.855712890625,\n 41.3108238809182\n ],\n [\n -95.91064453125,\n 41.37680856570233\n ],\n [\n -95.899658203125,\n 41.44272637767212\n ],\n [\n -95.943603515625,\n 41.53325414281322\n ],\n [\n -96.04248046875,\n 41.60722821271717\n ],\n [\n -96.03149414062499,\n 41.77950486590359\n ],\n [\n -96.064453125,\n 41.918628865183045\n ],\n [\n -96.17431640625,\n 42.13896840458089\n ],\n [\n -96.27319335937499,\n 42.21224516288584\n ],\n [\n -96.2841796875,\n 42.334184385939416\n ],\n [\n -96.35009765625,\n 42.42345651793833\n ],\n [\n -96.383056640625,\n 42.50450285299051\n ],\n [\n -96.51489257812499,\n 42.52069952914966\n ],\n [\n -96.624755859375,\n 42.577354839557856\n ],\n [\n -96.6357421875,\n 42.65012181368025\n ],\n [\n -96.7236328125,\n 42.69858589169842\n ],\n [\n -96.800537109375,\n 42.76314586689494\n ],\n [\n -96.954345703125,\n 42.76314586689494\n ],\n [\n -97.108154296875,\n 42.819580715795915\n ],\n [\n -97.218017578125,\n 42.867912483915305\n ],\n [\n -97.55859375,\n 42.90011265525328\n ],\n [\n -97.84423828125,\n 42.87596410238254\n ],\n [\n -97.921142578125,\n 42.819580715795915\n ],\n [\n -98.031005859375,\n 42.827638636242284\n ],\n [\n -98.184814453125,\n 42.88401467044253\n ],\n [\n -98.382568359375,\n 42.956422511073335\n ],\n [\n -98.470458984375,\n 43.01268088642034\n ],\n [\n -99.55810546875,\n 42.99661231842139\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"60","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568e493ce4b0e7a44bc41ae4","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":568660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":568661,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70150308,"text":"70150308 - 2016 - Corn stover harvest increases herbicide movement to subsurface drains: RZWQM simulations","interactions":[],"lastModifiedDate":"2016-04-28T12:51:11","indexId":"70150308","displayToPublicDate":"2015-07-31T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3035,"text":"Pest Management Science","active":true,"publicationSubtype":{"id":10}},"title":"Corn stover harvest increases herbicide movement to subsurface drains: RZWQM simulations","docAbstract":"Crop residue removal for bioenergy production can alter soil hydrologic properties and the movement of agrochemicals to subsurface drains. The Root Zone Water Quality Model (RZWQM), previously calibrated using measured flow and atrazine concentrations in drainage from a 0.4 ha chisel-tilled plot, was used to investigate effects of 50 and 100% corn (Zea mays L.) stover harvest and the accompanying reductions in soil crust hydraulic conductivity and total macroporosity on transport of atrazine, metolachlor, and metolachlor oxanilic acid (OXA).
\nThe model accurately simulated field-measured metolachlor transport in drainage. A 3-yr simulation indicated that 50% residue removal decreased subsurface drainage by 31% and increased atrazine and metolachlor transport in drainage 4 to 5-fold when surface crust conductivity and macroporosity were reduced by 25%. Based on its measured sorption coefficient, ~ 2-fold reductions in OXA losses were simulated with residue removal.
\nRZWQM indicated that if corn stover harvest reduces crust conductivity and soil macroporosity, losses of atrazine and metolachlor in subsurface drainage will increase due to reduced sorption related to more water moving through fewer macropores. Losses of the metolachlor degradation product OXA will decrease due to the more rapid movement of the parent compound into the soil.
\nThe ARkStorm Scenario predicts that a prolonged winter storm event across California would cause extreme precipitation, flooding, winds, physical damages, and economic impacts. This study uses a literature review and geographic information system-based analysis of national and state databases to infer how and where ARkStorm could cause environmental damages, release contamination from diverse natural and anthropogenic sources, affect ecosystem and human health, and cause economic impacts from environmental-remediation, liability, and health-care costs. Examples of plausible ARkStorm environmental and health concerns include complex mixtures of contaminants such as petroleum, mercury, asbestos, persistent organic pollutants, molds, and pathogens; adverse physical and contamination impacts on riverine and coastal marine ecosystems; and increased incidences of mold-related health concerns, some vector-borne diseases, and valley fever. Coastal cities, the San Francisco Bay area, the Sacramento-San Joaquin River Delta, parts of the Central Valley, and some mountainous areas would likely be most affected. This type of screening analysis, coupled with follow-up local assessments, can help stakeholders in California and disaster-prone areas elsewhere better plan for, mitigate, and respond to future environmental disasters.
Major challenges exist in delineating bedrock fracture zones because these cause abrupt changes in geological and hydrogeological properties over small distances. Borehole observations cannot sufficiently capture heterogeneity in these systems. Geophysical techniques offer the potential to image properties and processes in between boreholes. We used three-dimensional cross borehole electrical resistivity tomography (ERT) in a 9 m (diameter) × 15 m well field to capture high-resolution flow and transport processes in a fractured mudstone contaminated by chlorinated solvents, primarily trichloroethylene. Conductive (sodium bromide) and resistive (deionized water) injections were monitored in seven boreholes. Electrode arrays with isolation packers and fluid sampling ports were designed to enable acquisition of ERT measurements during pulsed tracer injections. Fracture zone locations and hydraulic pathways inferred from hydraulic head drawdown data were compared with electrical conductivity distributions from ERT measurements. Static ERT imaging has limited resolution to decipher individual fractures; however, these images showed alternating conductive and resistive zones, consistent with alternating laminated and massive mudstone units at the site. Tracer evolution and migration was clearly revealed in time-lapse ERT images and supported by in situ borehole vertical apparent conductivity profiles collected during the pulsed tracer test. While water samples provided important local information at the extraction borehole, ERT delineated tracer migration over spatial scales capturing the primary hydrogeological heterogeneity controlling flow and transport. The fate of these tracer injections at this scale could not have been quantified using borehole logging and/or borehole sampling methods alone.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.12356","usgsCitation":"Robinson, J., Slater, L., Johnson, T.B., Shapiro, A.M., Tiedeman, C.R., Ntlargiannis, D., Johnson, C.D., Day-Lewis, F.D., Lacombe, P., Imbrigiotta, T.E., and Lane, J.W., 2016, Imaging pathways in fractured rock using three-dimensional electrical resistivity tomography: Groundwater, v. 54, no. 2, p. 186-201, https://doi.org/10.1111/gwat.12356.","productDescription":"16 p.","startPage":"186","endPage":"201","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065453","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":314125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","city":"West Trenton","otherGeospatial":"Naval Air Warfare Center (NAWC)","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.9,\n 40.2\n ],\n [\n -74.9,\n 40.3\n ],\n [\n -74.8,\n 40.3\n ],\n [\n -74.8,\n 40.2\n ],\n [\n -74.9,\n 40.2\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-14","publicationStatus":"PW","scienceBaseUri":"5694e045e4b039675d005e27","contributors":{"authors":[{"text":"Robinson, Judith","contributorId":152111,"corporation":false,"usgs":false,"family":"Robinson","given":"Judith","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":587973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Lee","contributorId":55707,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":587974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Timothy B.","contributorId":49753,"corporation":false,"usgs":false,"family":"Johnson","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":587975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":587972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":587976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ntlargiannis, Dimitrios","contributorId":152112,"corporation":false,"usgs":false,"family":"Ntlargiannis","given":"Dimitrios","email":"","affiliations":[{"id":18869,"text":"Rutgers University, Newark, New Jersey","active":true,"usgs":false}],"preferred":false,"id":587977,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":587978,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":587979,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lacombe, Pierre 0000-0002-9596-7622 placombe@usgs.gov","orcid":"https://orcid.org/0000-0002-9596-7622","contributorId":152113,"corporation":false,"usgs":true,"family":"Lacombe","given":"Pierre","email":"placombe@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":587980,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Imbrigiotta, Thomas E. 0000-0003-1716-4768 timbrig@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-4768","contributorId":152114,"corporation":false,"usgs":true,"family":"Imbrigiotta","given":"Thomas","email":"timbrig@usgs.gov","middleInitial":"E.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":587981,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":587982,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70170003,"text":"70170003 - 2016 - Movement analysis of free-grazing domestic ducks in Poyang Lake, China: A disease connection","interactions":[],"lastModifiedDate":"2021-08-24T15:52:33.356039","indexId":"70170003","displayToPublicDate":"2015-07-13T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2046,"text":"International Journal of Geographical Information Science","active":true,"publicationSubtype":{"id":10}},"title":"Movement analysis of free-grazing domestic ducks in Poyang Lake, China: A disease connection","docAbstract":"Previous work suggests domestic poultry are important contributors to the emergence and transmission of highly pathogenic avian influenza throughout Asia. In Poyang Lake, China, domestic duck production cycles are synchronized with arrival and departure of thousands of migratory wild birds in the area. During these periods, high densities of juvenile domestic ducks are in close proximity to migratory wild ducks, increasing the potential for the virus to be transmitted and subsequently disseminated via migration. In this paper, we use GPS dataloggers and dynamic Brownian bridge models to describe movements and habitat use of free-grazing domestic ducks in the Poyang Lake basin and identify specific areas that may have the highest risk of H5N1 transmission between domestic and wild birds. Specifically, we determine relative use by free-grazing domestic ducks of natural wetlands, which are the most heavily used areas by migratory wild ducks, and of rice paddies, which provide habitat for resident wild ducks and lower densities of migratory wild ducks. To our knowledge, this is the first movement study on domestic ducks, and our data show potential for free-grazing domestic ducks from farms located near natural wetlands to come in contact with wild waterfowl, thereby increasing the risk for disease transmission. This study provides an example of the importance of movement ecology studies in understanding dynamics such as disease transmission on a complicated landscape.
","language":"English","publisher":"Royal Institute of International Affairs","publisherLocation":"London","doi":"10.1080/13658816.2015.1065496","usgsCitation":"Prosser, D.J., Palm, E., Takekawa, J.Y., Zhao, D., Xiao, X., Li, P., Liu, Y., and Newman, S.H., 2016, Movement analysis of free-grazing domestic ducks in Poyang Lake, China: A disease connection: International Journal of Geographical Information Science, v. 30, no. 5, p. 869-880, https://doi.org/10.1080/13658816.2015.1065496.","productDescription":"12 p.","startPage":"869","endPage":"880","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066156","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471467,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5042146","text":"External Repository"},{"id":319712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Poyang Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 116.04995727539064,\n 29.388158098102554\n ],\n [\n 116.06918334960938,\n 29.345072482286373\n ],\n [\n 116.08154296875001,\n 29.30795637674532\n ],\n [\n 116.08978271484375,\n 29.268430847232835\n ],\n [\n 116.13510131835938,\n 29.23847708592805\n ],\n [\n 116.20239257812499,\n 29.22529465285076\n ],\n [\n 116.27517700195312,\n 29.216904948184734\n ],\n [\n 116.33285522460938,\n 29.18693610903528\n ],\n [\n 116.33697509765625,\n 29.119774134878384\n ],\n [\n 116.38229370117188,\n 29.084976575985912\n ],\n [\n 116.44683837890625,\n 29.010542360621983\n ],\n [\n 116.48941040039062,\n 28.970902261018843\n ],\n [\n 116.510009765625,\n 28.924035288388865\n ],\n [\n 116.51962280273438,\n 28.8831596093235\n ],\n [\n 116.53335571289064,\n 28.818206341896186\n ],\n [\n 116.54022216796875,\n 28.78210367383126\n ],\n [\n 116.52099609375,\n 28.770066672590293\n ],\n [\n 116.42211914062499,\n 28.776085346816238\n ],\n [\n 116.35482788085938,\n 28.773677918788586\n ],\n [\n 116.29852294921876,\n 28.772474183943032\n ],\n [\n 116.26281738281249,\n 28.773677918788586\n ],\n [\n 116.20101928710936,\n 28.773677918788586\n ],\n [\n 116.15982055664062,\n 28.762843805266026\n ],\n [\n 116.114501953125,\n 28.74960058370892\n ],\n [\n 116.08428955078125,\n 28.73274314547254\n ],\n [\n 116.05682373046875,\n 28.72190478475891\n ],\n [\n 116.01837158203126,\n 28.70745188935186\n ],\n [\n 115.95794677734375,\n 28.70504287929188\n ],\n [\n 115.88790893554686,\n 28.682154517777498\n ],\n [\n 115.84945678710938,\n 28.674925574564284\n ],\n [\n 115.81512451171876,\n 28.67131091588086\n ],\n [\n 115.84396362304686,\n 28.730334717985404\n ],\n [\n 115.85494995117188,\n 28.776085346816238\n ],\n [\n 115.88241577148438,\n 28.789325207865527\n ],\n [\n 115.9112548828125,\n 28.804970149107174\n ],\n [\n 115.93185424804688,\n 28.83264390652778\n ],\n [\n 115.94833374023438,\n 28.851890877683967\n ],\n [\n 115.96206665039062,\n 28.878349647602047\n ],\n [\n 115.96618652343749,\n 28.899992721104496\n ],\n [\n 115.94970703125,\n 28.948072282131655\n ],\n [\n 115.916748046875,\n 28.96489485992114\n ],\n [\n 115.87966918945312,\n 28.97931203672246\n ],\n [\n 115.83984375,\n 28.97931203672246\n ],\n [\n 115.82061767578125,\n 28.987721128840377\n ],\n [\n 115.80963134765625,\n 29.01174333850371\n ],\n [\n 115.8233642578125,\n 29.039361975917828\n ],\n [\n 115.84259033203124,\n 29.050167257528237\n ],\n [\n 115.83023071289061,\n 29.06337217585223\n ],\n [\n 115.8563232421875,\n 29.084976575985912\n ],\n [\n 115.88653564453125,\n 29.10897615145302\n ],\n [\n 115.87692260742186,\n 29.137768254983335\n ],\n [\n 115.86868286132812,\n 29.172547954867895\n ],\n [\n 115.87692260742186,\n 29.204918463909035\n ],\n [\n 115.87692260742186,\n 29.237278753059563\n ],\n [\n 115.90301513671875,\n 29.26962881522664\n ],\n [\n 115.95108032226561,\n 29.28160772298835\n ],\n [\n 115.95520019531249,\n 29.3295093083647\n ],\n [\n 115.97991943359375,\n 29.352254684201622\n ],\n [\n 116.0211181640625,\n 29.372601506681402\n ],\n [\n 116.04995727539064,\n 29.388158098102554\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-13","publicationStatus":"PW","scienceBaseUri":"56ff9c0de4b0328dcb7eaafa","contributors":{"authors":[{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":625849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palm, Eric C.","contributorId":104830,"corporation":false,"usgs":true,"family":"Palm","given":"Eric C.","affiliations":[],"preferred":false,"id":625850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":625851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhao, Delong","contributorId":74686,"corporation":false,"usgs":true,"family":"Zhao","given":"Delong","email":"","affiliations":[],"preferred":false,"id":625852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiao, Xiangming","contributorId":67212,"corporation":false,"usgs":true,"family":"Xiao","given":"Xiangming","affiliations":[],"preferred":false,"id":625853,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Peng","contributorId":72642,"corporation":false,"usgs":true,"family":"Li","given":"Peng","affiliations":[],"preferred":false,"id":625854,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Ying","contributorId":11130,"corporation":false,"usgs":true,"family":"Liu","given":"Ying","affiliations":[],"preferred":false,"id":625855,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":625856,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70156712,"text":"70156712 - 2016 - Evaluating hair as a predictor of blood mercury: the influence of ontogenetic phase and life history in pinnipeds","interactions":[],"lastModifiedDate":"2018-08-09T12:19:51","indexId":"70156712","displayToPublicDate":"2015-07-07T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating hair as a predictor of blood mercury: the influence of ontogenetic phase and life history in pinnipeds","docAbstract":"Mercury (Hg) biomonitoring of pinnipeds increasingly utilizes nonlethally collected tissues such as hair and blood. The relationship between total Hg concentrations ([THg]) in these tissues is not well understood for marine mammals, but it can be important for interpretation of tissue concentrations with respect to ecotoxicology and biomonitoring. We examined [THg] in blood and hair in multiple age classes of four pinniped species. For each species, we used paired blood and hair samples to quantify the ability of [THg] in hair to predict [THg] in blood at the time of sampling and examined the influence of varying ontogenetic phases and life history of the sampled animals. Overall, we found that the relationship between [THg] in hair and blood was affected by factors including age class, weaning status, growth, and the time difference between hair growth and sample collection. Hair [THg] was moderately to strongly predictive of current blood [THg] for adult female Steller sea lions (Eumetopias jubatus), adult female California sea lions (Zalophus californianus), and adult harbor seals (Phoca vitulina), whereas hair [THg] was poorly predictive or not predictive (different times of year) of blood [THg] for adult northern elephant seals (Mirounga angustirostris). Within species, except for very young pups, hair [THg] was a weaker predictor of blood [THg] for prereproductive animals than for adults likely due to growth, variability in foraging behavior, and transitions between ontogenetic phases. Our results indicate that the relationship between hair [THg] and blood [THg] in pinnipeds is variable and that ontogenetic phase and life history should be considered when interpreting [THg] in these tissues.
","language":"English","publisher":"Springer","publisherLocation":"New York, NY","doi":"10.1007/s00244-015-0174-3","usgsCitation":"Peterson, S.H., McHuron, E.A., Kennedy, S.N., Ackerman, J., Rea, L.D., Castellini, J., O'Hara, T., and Costa, D.P., 2016, Evaluating hair as a predictor of blood mercury: the influence of ontogenetic phase and life history in pinnipeds: Archives of Environmental Contamination and Toxicology, v. 70, no. 1, p. 28-45, https://doi.org/10.1007/s00244-015-0174-3.","productDescription":"18 p.","startPage":"28","endPage":"45","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062578","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":307836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-07","publicationStatus":"PW","scienceBaseUri":"55e81db1e4b0dacf699e666b","contributors":{"authors":[{"text":"Peterson, Sarah H.","contributorId":141211,"corporation":false,"usgs":false,"family":"Peterson","given":"Sarah","email":"","middleInitial":"H.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":570197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHuron, Elizabeth A.","contributorId":103600,"corporation":false,"usgs":true,"family":"McHuron","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":570198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Stephanie N.","contributorId":147082,"corporation":false,"usgs":false,"family":"Kennedy","given":"Stephanie","email":"","middleInitial":"N.","affiliations":[{"id":16783,"text":"Alaska DFG and University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":570199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":570196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rea, Lorrie D.","contributorId":82143,"corporation":false,"usgs":false,"family":"Rea","given":"Lorrie","email":"","middleInitial":"D.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":570200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Castellini, J. Margaret","contributorId":32813,"corporation":false,"usgs":true,"family":"Castellini","given":"J. Margaret","affiliations":[],"preferred":false,"id":570201,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O'Hara, Todd M.","contributorId":34768,"corporation":false,"usgs":false,"family":"O'Hara","given":"Todd M.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":570202,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Costa, Daniel P.","contributorId":141212,"corporation":false,"usgs":false,"family":"Costa","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":570203,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70155166,"text":"70155166 - 2016 - Geostatistical borehole image-based mapping of karst-carbonate aquifer pores","interactions":[],"lastModifiedDate":"2016-03-17T13:38:40","indexId":"70155166","displayToPublicDate":"2015-07-01T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Geostatistical borehole image-based mapping of karst-carbonate aquifer pores","docAbstract":"Quantification of the character and spatial distribution of porosity in carbonate aquifers is important as input into computer models used in the calculation of intrinsic permeability and for next-generation, high-resolution groundwater flow simulations. Digital, optical, borehole-wall image data from three closely spaced boreholes in the karst-carbonate Biscayne aquifer in southeastern Florida are used in geostatistical experiments to assess the capabilities of various methods to create realistic two-dimensional models of vuggy megaporosity and matrix-porosity distribution in the limestone that composes the aquifer. When the borehole image data alone were used as the model training image, multiple-point geostatistics failed to detect the known spatial autocorrelation of vuggy megaporosity and matrix porosity among the three boreholes, which were only 10 m apart. Variogram analysis and subsequent Gaussian simulation produced results that showed a realistic conceptualization of horizontal continuity of strata dominated by vuggy megaporosity and matrix porosity among the three boreholes.
","language":"English","publisher":"National Ground Water Association","publisherLocation":"Worthington, OH","doi":"10.1111/gwat.12354","usgsCitation":"Michael Sukop, and Cunningham, K.J., 2016, Geostatistical borehole image-based mapping of karst-carbonate aquifer pores: Groundwater, v. 54, no. 2, p. 202-213, https://doi.org/10.1111/gwat.12354.","productDescription":"12 p.","startPage":"202","endPage":"213","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044928","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":306283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-14","publicationStatus":"PW","scienceBaseUri":"55bc9c2ce4b033ef52100f26","contributors":{"authors":[{"text":"Michael Sukop","contributorId":145653,"corporation":false,"usgs":false,"family":"Michael Sukop","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":564917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":564916,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148085,"text":"ds937 - 2016 - Marine geophysical data collected in a shallow back-barrier estuary, Barnegat Bay, New Jersey","interactions":[],"lastModifiedDate":"2016-09-08T16:14:11","indexId":"ds937","displayToPublicDate":"2015-06-26T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"937","title":"Marine geophysical data collected in a shallow back-barrier estuary, Barnegat Bay, New Jersey","docAbstract":"In 2011, the U.S. Geological Survey, in cooperation with the New Jersey Department of Environmental Protection, began a multidisciplinary research project to better understand the water quality in Barnegat Bay, New Jersey. This back-barrier estuary is experiencing degraded water quality, algal blooms, loss of seagrass, and increases in oxygen stress, macroalgae, stinging nettles, and brown tide. The spatial scale of the estuary and the scope of challenges within it necessitate a multidisciplinary approach that includes establishing the regional geology and the estuary’s physical characteristics and modeling how the estuary’s morphology interacts to affect its water quality. This report presents the data collected during this project for use in understanding the morphology and the distribution of sea-floor and sub-sea-floor sediments within Barnegat Bay, describes the methods used to collect and process those data, and includes links to the final processed datasets. These data can be used by scientists to understand the links between geomorphology, geologic framework, sediment transport, and estuarine water quality and circulation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds937","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Andrews, B.D., Miselis, J.L., Danforth, W.W., Irwin, B.J., Worley, C.R., Bergeron, E.M., and Blackwood, D.S., 2016, Marine geophysical data collected in a shallow back-barrier estuary, Barnegat Bay, New Jersey (ver. 1.1, September 2016): U.S. Geological Survey Data Series 937, 15 p., https://dx.doi.org/10.3133/ds937.","productDescription":"Report: iv, 15 p.; Downloads Directory","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-062258","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":302385,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0937/downloads","text":"Downloads Directory","description":"DS 937","linkHelpText":"Contains: photographs, shapefiles, and raster files. Refer to the Readme.txt file for more information."},{"id":302386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0937/images/coverthbn.jpg"},{"id":327358,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/0937/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"Version History"},{"id":302383,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0937/index.html"},{"id":302384,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0937/pdf/ds937.pdf","text":"Report","size":"3.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 937"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.49142456054688,\n 39.39375459224348\n ],\n [\n -74.410400390625,\n 39.364032338047984\n ],\n [\n -74.31015014648438,\n 39.47754556963625\n ],\n [\n -74.17007446289061,\n 39.65857056750545\n ],\n [\n -74.09591674804688,\n 39.7779358040303\n ],\n [\n -74.05471801757812,\n 40.0360265298117\n ],\n [\n -74.04510498046875,\n 40.07491896000657\n ],\n [\n -74.07394409179688,\n 40.06756263511062\n ],\n [\n -74.12338256835936,\n 40.065460682065535\n ],\n [\n -74.12750244140625,\n 40.0507451947963\n ],\n [\n -74.07669067382811,\n 40.042334918180536\n ],\n [\n -74.0863037109375,\n 40.02130468739707\n ],\n [\n -74.11651611328125,\n 40.03182061333687\n ],\n [\n -74.1357421875,\n 40.03392360399664\n ],\n [\n -74.11788940429688,\n 40.01078714046552\n ],\n [\n -74.12887573242188,\n 40.00447583427404\n ],\n [\n -74.15084838867188,\n 40.00447583427404\n ],\n [\n -74.12887573242188,\n 39.98027708862265\n ],\n [\n -74.11376953125,\n 39.9476478239225\n ],\n [\n -74.15084838867188,\n 39.950806175257355\n ],\n [\n -74.20852661132812,\n 39.95396438076642\n ],\n [\n -74.1851806640625,\n 39.93395994977672\n ],\n [\n -74.11102294921875,\n 39.925535281697286\n ],\n [\n -74.1302490234375,\n 39.90025505675715\n ],\n [\n -74.14672851562499,\n 39.871803651624425\n ],\n [\n -74.16732788085938,\n 39.82435840847207\n ],\n [\n -74.190673828125,\n 39.78321267821705\n ],\n [\n -74.20852661132812,\n 39.75576851405812\n ],\n [\n -74.17282104492188,\n 39.734650174341866\n ],\n [\n -74.17007446289061,\n 39.70824314819603\n ],\n [\n -74.2071533203125,\n 39.66808510414671\n ],\n [\n -74.234619140625,\n 39.64165260123416\n ],\n [\n -74.267578125,\n 39.61203619933693\n ],\n [\n -74.29229736328125,\n 39.6109782362526\n ],\n [\n -74.33761596679688,\n 39.57288079854952\n ],\n [\n -74.30740356445312,\n 39.54005788576377\n ],\n [\n -74.30328369140625,\n 39.51145753426751\n ],\n [\n -74.33486938476562,\n 39.51357648276841\n ],\n [\n -74.33074951171875,\n 39.536880650643056\n ],\n [\n -74.35821533203125,\n 39.547470868779406\n ],\n [\n -74.39804077148438,\n 39.54111693181784\n ],\n [\n -74.41452026367188,\n 39.562294459158174\n ],\n [\n -74.41864013671875,\n 39.54958871848275\n ],\n [\n -74.39666748046874,\n 39.487084981687495\n ],\n [\n -74.38568115234375,\n 39.47648555419741\n ],\n [\n -74.3939208984375,\n 39.4637641090409\n ],\n [\n -74.40765380859375,\n 39.42452501272267\n ],\n [\n -74.43099975585938,\n 39.459523110465156\n ],\n [\n -74.4268798828125,\n 39.47754556963625\n ],\n [\n -74.45297241210938,\n 39.46164364205549\n ],\n [\n -74.49142456054688,\n 39.39375459224348\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1: Originally posted June 26, 2015; Version 1.1: September 2016","contact":"Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543–1598
http://woodshole.er.usgs.gov/
Reservoirs can be dynamic systems, often prone to unpredictable and extreme water-level fluctuations, and can be environments where survival is difficult for zooplankton and larval fish. Although numerous studies have examined the effects of extreme reservoir drawdown on water quality, few have examined extreme drawdown on both abiotic and biotic characteristics. A fissure in the dam at Red Willow Reservoir in southwest Nebraska necessitated an extreme drawdown; the water level was lowered more than 6 m during a two-month period, reducing reservoir volume by 76%. During the subsequent low-water period (i.e., post-drawdown), spring sampling (April–June) showed dissolved oxygen concentration was lower, while turbidity and chlorophyll-a concentration were greater, relative to pre-drawdown conditions. Additionally, there was an overall increase in zooplankton density, although there were differences among taxa, and changes in mean size among taxa, relative to pre-drawdown conditions. Zooplankton assemblage composition had an average dissimilarity of 19.3% from pre-drawdown to post-drawdown. The ratio of zero to non-zero catches was greater post-drawdown for larval common carp and for all larval fishes combined, whereas we observed no difference for larval gizzard shad. Larval fish assemblage composition had an average dissimilarity of 39.7% from pre-drawdown to post-drawdown. Given the likelihood that other dams will need repair or replacement in the near future, it is imperative for effective reservoir management that we anticipate the likely abiotic and biotic responses of reservoir ecosystems as these management actions will continue to alter environmental conditions in reservoirs.
","language":"English","publisher":"Oikos Publishers","doi":"10.1080/02705060.2015.1055312","usgsCitation":"DeBoer, J.A., Webber, C.M., Dixon, T.A., and Pope, K.L., 2016, The influence of a severe reservoir drawdown on springtime zooplankton and larval fish assemblages in Red Willow Reservoir, Nebraska: Journal of Freshwater Ecology, v. 31, no. 1, p. 131-146, https://doi.org/10.1080/02705060.2015.1055312.","productDescription":"16 p.","startPage":"131","endPage":"146","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057401","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2015.1055312","text":"Publisher Index Page"},{"id":318060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Red Willow Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.73707580566406,\n 40.337123670420326\n ],\n [\n -100.73707580566406,\n 40.39676430557203\n ],\n [\n -100.6515884399414,\n 40.39676430557203\n ],\n [\n -100.6515884399414,\n 40.337123670420326\n ],\n [\n -100.73707580566406,\n 40.337123670420326\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-26","publicationStatus":"PW","scienceBaseUri":"56c4565ae4b0946c652185e7","contributors":{"authors":[{"text":"DeBoer, Jason A.","contributorId":10272,"corporation":false,"usgs":true,"family":"DeBoer","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":620330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webber, Christa M.","contributorId":166914,"corporation":false,"usgs":false,"family":"Webber","given":"Christa","email":"","middleInitial":"M.","affiliations":[{"id":18960,"text":"School of Natural Resources, University of Nebraska–Lincoln, Lincoln, Nebraska","active":true,"usgs":false}],"preferred":false,"id":620331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dixon, Taylor A.","contributorId":166915,"corporation":false,"usgs":false,"family":"Dixon","given":"Taylor","email":"","middleInitial":"A.","affiliations":[{"id":18960,"text":"School of Natural Resources, University of Nebraska–Lincoln, Lincoln, Nebraska","active":true,"usgs":false}],"preferred":false,"id":620332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":620333,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70169113,"text":"70169113 - 2016 - Geologic history of the Black Hills caves, South Dakota","interactions":[],"lastModifiedDate":"2017-04-14T10:18:18","indexId":"70169113","displayToPublicDate":"2015-06-24T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Geologic history of the Black Hills caves, South Dakota","docAbstract":"Cave development in the Madison aquifer of the Black Hills has taken place in several stages. Mississippian carbonates first underwent eogenetic (early diagenetic) reactions with interbedded sulfates to form breccias and solution voids. Later subaerial exposure allowed oxygenated meteoric water to replace sulfates with calcite and to form karst and small caves. All were later buried by ~2 km of Pennsylvanian–Cretaceous strata.
\nGroundwater flow and speleogenesis in the Madison aquifer were renewed by erosional exposure during Laramide uplift. Post-Laramide speleogenesis enlarged paleokarst voids. Most interpretations of this process in the Black Hills invoke rising thermal water, but they fail to account for the cave patterns. Few passages extend downdip below the present water table or updip to outcrops. None reaches the base of the Madison Limestone, and few reach the top. Major caves underlie a thin cover of basal Pennsylvanian–Permian Minnelusa Formation (interbedded quartzarenite and carbonates). Water infiltrating through the Minnelusa Formation dissolves carbonates in a nearly closed system, producing low pCO2, while recharge directly into Madison outcrops has a much higher pCO2. Both are at or near calcite saturation when they enter caves, but their mixture is undersaturated.
\nThe caves reveal four phases of calcite deposition: eogenetic ferroan calcite (Mississippian replacement of sulfates); white scalenohedra in paleovoids deposited during deep post-Mississippian burial; palisade crusts formed during blockage of springs by Oligocene–Miocene continental sediments; and laminated crusts from late Pleistocene water-table fluctuations. The caves reveal more than 300 m.y. of geologic history and a close relationship to regional geologic events.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/2015.2516(07)","usgsCitation":"Palmer, A., Palmer, M., and Paces, J.B., 2016, Geologic history of the Black Hills caves, South Dakota: GSA Special Papers, v. 516, p. 87-101, https://doi.org/10.1130/2015.2516(07).","productDescription":"15 p.","startPage":"87","endPage":"101","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059200","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":319023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota, Wyoming","otherGeospatial":"Black Hills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.0570068359375,\n 44.83055216443822\n ],\n [\n -103.94439697265624,\n 44.74478251469654\n ],\n [\n -103.7603759765625,\n 44.61197874551103\n ],\n [\n -103.5955810546875,\n 44.4867089169177\n ],\n [\n -103.4857177734375,\n 44.41808794374849\n ],\n [\n -103.326416015625,\n 44.24323143968471\n ],\n [\n -103.18634033203125,\n 44.109281923355645\n ],\n [\n -103.1781005859375,\n 43.937461690316646\n ],\n [\n -103.2000732421875,\n 43.781009658142914\n ],\n [\n -103.23577880859375,\n 43.689721907017194\n ],\n [\n -103.29071044921875,\n 43.57840117718351\n ],\n [\n -103.35937499999999,\n 43.415023819646535\n ],\n [\n -103.4033203125,\n 43.279204926082784\n ],\n [\n -103.46649169921875,\n 43.22719386727831\n ],\n [\n -103.546142578125,\n 43.21518500735673\n ],\n [\n -103.5791015625,\n 43.257205668363206\n ],\n [\n -103.60931396484374,\n 43.24520272203356\n ],\n [\n -103.65325927734375,\n 43.177141346631714\n ],\n [\n -103.77960205078125,\n 43.20917969039356\n ],\n [\n -103.79608154296874,\n 43.28520334369384\n ],\n [\n -103.84002685546875,\n 43.335167156724324\n ],\n [\n -103.875732421875,\n 43.34914966389313\n ],\n [\n -103.95538330078125,\n 43.43098253248489\n ],\n [\n -104.02130126953125,\n 43.476840397778915\n ],\n [\n -104.14215087890625,\n 43.54655738051152\n ],\n [\n -104.19433593749999,\n 43.67979094030124\n ],\n [\n -104.21905517578125,\n 43.79488907226601\n ],\n [\n -104.315185546875,\n 43.86423779837696\n ],\n [\n -104.53765869140625,\n 43.992814500489914\n ],\n [\n -104.63104248046874,\n 44.05995928349327\n ],\n [\n -104.74090576171875,\n 44.18614312298759\n ],\n [\n -104.85626220703124,\n 44.26683800273895\n ],\n [\n -104.91119384765624,\n 44.398467142258504\n ],\n [\n -104.97161865234375,\n 44.55133484083592\n ],\n [\n -104.96612548828124,\n 44.66279259880063\n ],\n [\n -104.92767333984375,\n 44.78183504339988\n ],\n [\n -104.78759765625,\n 44.87533557756195\n ],\n [\n -104.59259033203125,\n 44.94730538740607\n ],\n [\n -104.4580078125,\n 44.99394031891059\n ],\n [\n -104.3646240234375,\n 44.99394031891059\n ],\n [\n -104.23828125,\n 44.920084166257624\n ],\n [\n -104.10369873046875,\n 44.853921768268776\n ],\n [\n -104.0570068359375,\n 44.83055216443822\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"516","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56ed26b2e4b0f59b85db0a09","contributors":{"authors":[{"text":"Palmer, Arthur N.","contributorId":167655,"corporation":false,"usgs":false,"family":"Palmer","given":"Arthur N.","affiliations":[{"id":24790,"text":"Dept. Earth & Planetary Sciences, State University of New York, Oneonta","active":true,"usgs":false}],"preferred":false,"id":623032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmer, Margaret","contributorId":101959,"corporation":false,"usgs":true,"family":"Palmer","given":"Margaret","affiliations":[],"preferred":false,"id":623033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":623031,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160802,"text":"70160802 - 2016 - Morphological identification and COI barcodes of adult flies help determine species identities of chironomid larvae (Diptera, Chironomidae)","interactions":[],"lastModifiedDate":"2016-06-17T11:26:12","indexId":"70160802","displayToPublicDate":"2015-06-15T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5028,"text":"Bulletin of Entomological Research","active":true,"publicationSubtype":{"id":10}},"title":"Morphological identification and COI barcodes of adult flies help determine species identities of chironomid larvae (Diptera, Chironomidae)","docAbstract":"Establishing reliable methods for the identification of benthic chironomid communities is important due to their significant contribution to biomass, ecology and the aquatic food web. Immature larval specimens are more difficult to identify to species level by traditional morphological methods than their fully developed adult counterparts, and few keys are available to identify the larval species. In order to develop molecular criteria to identify species of chironomid larvae, larval and adult chironomids from Western Lake Erie were subjected to both molecular and morphological taxonomic analysis. Mitochondrial cytochrome c oxidase I (COI) barcode sequences of 33 adults that were identified to species level by morphological methods were grouped with COI sequences of 189 larvae in a neighbor-joining taxon-ID tree. Most of these larvae could be identified only to genus level by morphological taxonomy (only 22 of the 189 sequenced larvae could be identified to species level). The taxon-ID tree of larval sequences had 45 operational taxonomic units (OTUs, defined as clusters with >97% identity or individual sequences differing from nearest neighbors by >3%; supported by analysis of all larval pairwise differences), of which seven could be identified to species or ‘species group’ level by larval morphology. Reference sequences from the GenBank and BOLD databases assigned six larval OTUs with presumptive species level identifications and confirmed one previously assigned species level identification. Sequences from morphologically identified adults in the present study grouped with and further classified the identity of 13 larval OTUs. The use of morphological identification and subsequent DNA barcoding of adult chironomids proved to be beneficial in revealing possible species level identifications of larval specimens. Sequence data from this study also contribute to currently inadequate public databases relevant to the Great Lakes region, while the neighbor-joining analysis reported here describes the application and confirmation of a useful tool that can accelerate identification and bioassesment of chironomid communities.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0007485315000486","usgsCitation":"Failla, A.J., Vasquez, A.A., Hudson, P.L., Fujimoto, M., and Ram, J.L., 2016, Morphological identification and COI barcodes of adult flies help determine species identities of chironomid larvae (Diptera, Chironomidae): Bulletin of Entomological Research, v. 106, p. 34-46, https://doi.org/10.1017/S0007485315000486.","productDescription":"13 p.","startPage":"34","endPage":"46","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061158","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":323878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-15","publicationStatus":"PW","scienceBaseUri":"57651f39e4b07657d19c7901","contributors":{"authors":[{"text":"Failla, Andrew Joseph","contributorId":151001,"corporation":false,"usgs":false,"family":"Failla","given":"Andrew","email":"","middleInitial":"Joseph","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":583953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vasquez, Adrian Amelio","contributorId":151002,"corporation":false,"usgs":false,"family":"Vasquez","given":"Adrian","email":"","middleInitial":"Amelio","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":583954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudson, Patrick L. 0000-0002-7646-443X phudson@usgs.gov","orcid":"https://orcid.org/0000-0002-7646-443X","contributorId":5616,"corporation":false,"usgs":true,"family":"Hudson","given":"Patrick","email":"phudson@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fujimoto, Masanori","contributorId":151003,"corporation":false,"usgs":false,"family":"Fujimoto","given":"Masanori","email":"","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":583955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ram, Jeffrey L.","contributorId":33659,"corporation":false,"usgs":true,"family":"Ram","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":583956,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156009,"text":"70156009 - 2016 - Modeling habitat connectivity to inform reintroductions: a case study with the Chiricahua Leopard Frog","interactions":[],"lastModifiedDate":"2016-03-10T10:56:49","indexId":"70156009","displayToPublicDate":"2015-06-01T01:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling habitat connectivity to inform reintroductions: a case study with the Chiricahua Leopard Frog","docAbstract":"Managing species with intensive tools such as reintroduction may focus on single sites or entire landscapes. For vagile species, long-term persistence will require colonization and establishment in neighboring habitats. Therefore, both suitable colonization sites and suitable dispersal corridors between sites are required. Assessment of landscapes for both requirements can contribute to ranking and selection of reintroduction areas, thereby improving management success. Following eradication of invasive American Bullfrogs (Lithobates catesbeianus) from most of Buenos Aires National Wildlife Refuge (BANWR; Arizona, United States), larval Chiricahua Leopard Frogs (Lithobates chiricahuensis) from a private pond were reintroduced into three stock ponds. Populations became established at all three reintroduction sites followed by colonization of neighboring ponds in subsequent years. Our aim was to better understand colonization patterns by the federally threatened L. chiricahuensis which could help inform other reintroduction efforts. We assessed the influence of four landscape features on colonization. Using surveys from 2007 and information about the landscape, we developed a habitat connectivity model, based on electrical circuit theory, that identified potential dispersal corridors after explicitly accounting for imperfect detection of frogs. Landscape features provided little insight into why some sites were colonized and others were not, results that are likely because of the uniformity of the BANWR landscape. While corridor modeling may be effective in more-complex landscapes, our results suggest focusing on local habitat will be more useful at BANWR. We also illustrate that existing data, even when limited in spatial or temporal resolution, can provide information useful in formulating management actions.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/14-172","usgsCitation":"Jarchow, C.J., Hossack, B.R., Sigafus, B.H., Schwalbe, C.R., and Muths, E.L., 2016, Modeling habitat connectivity to inform reintroductions: a case study with the Chiricahua Leopard Frog: Journal of Herpetology, v. 50, no. 1, p. 63-69, https://doi.org/10.1670/14-172.","productDescription":"7 p.","startPage":"63","endPage":"69","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060747","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":306675,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55cdbfb8e4b08400b1fe1416","contributors":{"authors":[{"text":"Jarchow, Christopher J. 0000-0002-0424-4104 cjarchow@usgs.gov","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":5813,"corporation":false,"usgs":true,"family":"Jarchow","given":"Christopher","email":"cjarchow@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":567644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":567645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sigafus, Brent H. 0000-0002-7422-8927 bsigafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7422-8927","contributorId":4534,"corporation":false,"usgs":true,"family":"Sigafus","given":"Brent","email":"bsigafus@usgs.gov","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":567646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwalbe, Cecil R. cschwalbe@usgs.gov","contributorId":3077,"corporation":false,"usgs":true,"family":"Schwalbe","given":"Cecil","email":"cschwalbe@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":567647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":567648,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148388,"text":"70148388 - 2016 - Variability of the carbonate chemistry in a shallow, seagrass-dominated ecosystem: implications for ocean acidification experiments","interactions":[],"lastModifiedDate":"2016-02-01T13:04:21","indexId":"70148388","displayToPublicDate":"2015-05-25T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Variability of the carbonate chemistry in a shallow, seagrass-dominated ecosystem: implications for ocean acidification experiments","docAbstract":"Open ocean observations have shown that increasing levels of anthropogenically derived atmospheric CO2 are causing acidification of the world's oceans. Yet little is known about coastal acidification and studies are just beginning to characterise the carbonate chemistry of shallow, nearshore zones where many ecologically and economically important organisms occur. We characterised the carbonate chemistry of seawater within an area dominated by seagrass beds (Saint Joseph Bay, Florida) to determine the extent of variation in pH and pCO2 over monthly and daily timescales. Distinct diel and seasonal fluctuations were observed at daily and monthly timescales respectively, indicating the influence of photosynthetic and respiratory processes on the local carbonate chemistry. Over the course of a year, the range in monthly values of pH (7.36-8.28), aragonite saturation state (0.65-5.63), and calculated pCO2 (195-2537 μatm) were significant. When sampled on a daily basis the range in pH (7.70-8.06), aragonite saturation state (1.86-3.85), and calculated pCO2 (379-1019 μatm) also exhibited significant range and indicated variation between timescales. The results of this study have significant implications for the design of ocean acidification experiments where nearshore species are utilised and indicate that coastal species are experiencing far greater fluctuations in carbonate chemistry than previously thought.
","language":"English","publisher":"Australian Academy of Science","publisherLocation":"East Melbourne, Australia","doi":"10.1071/MF14219","usgsCitation":"Challener, R., Robbins, L.L., and Mcclintock, J.B., 2016, Variability of the carbonate chemistry in a shallow, seagrass-dominated ecosystem: implications for ocean acidification experiments: Marine and Freshwater Research, v. 67, no. 2, p. 163-172, https://doi.org/10.1071/MF14219.","productDescription":"10 p.","startPage":"163","endPage":"172","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051006","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/mf14219","text":"Publisher Index Page"},{"id":300973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"556ed3e4e4b0d9246a9fa80b","contributors":{"authors":[{"text":"Challener, Roberta","contributorId":141010,"corporation":false,"usgs":false,"family":"Challener","given":"Roberta","email":"","affiliations":[{"id":13650,"text":"University of Alabama Birmingham","active":true,"usgs":false}],"preferred":false,"id":547958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mcclintock, James B.","contributorId":141011,"corporation":false,"usgs":false,"family":"Mcclintock","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":13651,"text":"University of Alabama-Birmingham","active":true,"usgs":false}],"preferred":false,"id":547959,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156899,"text":"70156899 - 2016 - Defining the next generation modeling of coastal ecotone dynamics in response to global change","interactions":[],"lastModifiedDate":"2016-07-17T23:09:25","indexId":"70156899","displayToPublicDate":"2015-05-06T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Defining the next generation modeling of coastal ecotone dynamics in response to global change","docAbstract":"Coastal ecosystems are especially vulnerable to global change; e.g., sea level rise (SLR) and extreme events. Over the past century, global change has resulted in salt-tolerant (halophytic) plant species migrating into upland salt-intolerant (glycophytic) dominated habitats along major rivers and large wetland expanses along the coast. While habitat transitions can be abrupt, modeling the specific drivers of abrupt change between halophytic and glycophytic vegetation is not a simple task. Correlative studies, which dominate the literature, are unlikely to establish ultimate causation for habitat shifts, and do not generate strong predictive capacity for coastal land managers and climate change adaptation exercises. In this paper, we first review possible drivers of ecotone shifts for coastal wetlands, our understanding of which has expanded rapidly in recent years. Any exogenous factor that increases growth or establishment of halophytic species will favor the ecotone boundary moving upslope. However, internal feedbacks between vegetation and the environment, through which vegetation modifies the local microhabitat (e.g., by changing salinity or surface elevation), can either help the system become resilient to future changes or strengthen ecotone migration. Following this idea, we review a succession of models that have provided progressively better insight into the relative importance of internal positive feedbacks versus external environmental factors. We end with developing a theoretical model to show that both abrupt environmental gradients and internal positive feedbacks can generate the sharp ecotonal boundaries that we commonly see, and we demonstrate that the responses to gradual global change (e.g., SLR) can be quite diverse.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolmodel.2015.04.013","usgsCitation":"Jiang, J., DeAngelis, D., Teh, S., Krauss, K.W., Wang, H., Haidong, L., Smith, T.J., and Koh, H.L., 2016, Defining the next generation modeling of coastal ecotone dynamics in response to global change: Ecological Modelling, v. 326, p. 168-176, https://doi.org/10.1016/j.ecolmodel.2015.04.013.","productDescription":"9 p.","startPage":"168","endPage":"176","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061078","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2015.04.013","text":"Publisher Index Page"},{"id":307809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"326","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e81dafe4b0dacf699e6660","chorus":{"doi":"10.1016/j.ecolmodel.2015.04.013","url":"http://dx.doi.org/10.1016/j.ecolmodel.2015.04.013","publisher":"Elsevier BV","authors":"Jiang Jiang, DeAngelis Donald L., Teh Su-Yean, Krauss Ken W., Wang Hongqing, Li Haidong, Smith Thomas J., Koh Hock-Lye","journalName":"Ecological Modelling","publicationDate":"4/2016","auditedOn":"9/7/2016","publiclyAccessibleDate":"8/16/2016"},"contributors":{"authors":[{"text":"Jiang, Jiang","contributorId":46838,"corporation":false,"usgs":true,"family":"Jiang","given":"Jiang","affiliations":[],"preferred":false,"id":571041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":147289,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":571040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teh, Su-Y","contributorId":147290,"corporation":false,"usgs":false,"family":"Teh","given":"Su-Y","email":"","affiliations":[{"id":16817,"text":"Universiti Sains Malaysia, Penang 11800, Malaysia","active":true,"usgs":false}],"preferred":false,"id":571042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":571043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":140432,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":571044,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haidong, Li","contributorId":147291,"corporation":false,"usgs":false,"family":"Haidong","given":"Li","email":"","affiliations":[{"id":16818,"text":"Nanjing Institute of Environmental Sciences, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":571045,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Thomas J. tom_j_smith@usgs.gov","contributorId":139562,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":571046,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koh, Hock L.","contributorId":147292,"corporation":false,"usgs":false,"family":"Koh","given":"Hock","email":"","middleInitial":"L.","affiliations":[{"id":16819,"text":"Office of the DVC for Research & Postgraduate Studies, Kuala Lumpur 56000, Malaysia","active":true,"usgs":false}],"preferred":false,"id":571047,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70144279,"text":"ds931 - 2016 - Hurricane Sandy beach response and recovery at Fire Island, New York: Shoreline and beach profile data, October 2012 to October 2014","interactions":[],"lastModifiedDate":"2016-09-27T11:28:35","indexId":"ds931","displayToPublicDate":"2015-05-01T09:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"931","title":"Hurricane Sandy beach response and recovery at Fire Island, New York: Shoreline and beach profile data, October 2012 to October 2014","docAbstract":"In response to the forecasted impact of Hurricane Sandy, which made landfall on October 29, 2012, the U.S. Geological Survey (USGS) began a substantial data-collection effort to assess the morphological impacts to the beach and dune system at Fire Island, New York. Global positioning system (GPS) field surveys of the beach and dunes were conducted just prior to and after landfall and these data were used to quantify change in several focus areas. In order to quantify morphologic change along the entire length of the island, pre-storm (May 2012) and post-storm (November 2012) lidar and aerial photography were used to assess changes to the shoreline and beach.
As part of the USGS Hurricane Sandy Supplemental Fire Island Study, the beach is monitored periodically to enable better understanding of post-Sandy recovery. The alongshore state of the beach is recorded using a differential global positioning system (DGPS) to collect data around the mean high water (MHW; 0.46 meter North American Vertical Datum of 1988) to derive a shoreline, and the cross-shore response and recovery are measured along a series of 10 profiles.
Overall, Hurricane Sandy substantially altered the morphology of Fire Island. However, the coastal system rapidly began to recover after the 2012–13 winter storm season and continues to recover in the form of volume gains and shoreline adjustment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds931","usgsCitation":"Henderson (Hehre), R.E., Hapke, C.J., Brenner, O.T., and Reynolds, B.J., 2016, Hurricane Sandy shoreline response and recovery at Fire Island, New York—Shoreline and beach profile data, October 2012 to October 2014 (ver. 1.1, September 2016): U.S. Geological Survey Data Series 931, https://dx.doi.org/10.3133/ds931.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-10-01","temporalEnd":"2014-10-31","ipdsId":"IP-060541","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":328391,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/0931/versionHist.txt","text":"Version 1.1","size":"1.85 MB","linkFileType":{"id":2,"text":"txt"},"description":"DS 931"},{"id":300013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0931/coverthb2.jpg"},{"id":300010,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0931/index.html","description":"DS 931"},{"id":300012,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0931/ds931_abstract.html","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 931"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.3033561706543,\n 40.62841532435384\n ],\n [\n -73.3059310913086,\n 40.627763910481185\n ],\n [\n -73.30850601196288,\n 40.62750334315296\n ],\n [\n -73.31125259399414,\n 40.62724277480808\n ],\n [\n -73.31314086914062,\n 40.627894193764035\n ],\n [\n -73.31348419189453,\n 40.628936450876964\n ],\n [\n -73.31502914428711,\n 40.62802447679272\n ],\n [\n -73.31588745117188,\n 40.627894193764035\n ],\n [\n -73.31571578979492,\n 40.62567934338915\n ],\n [\n -73.31451416015625,\n 40.62346441956157\n ],\n [\n -73.311767578125,\n 40.622291783092706\n ],\n [\n -73.30781936645508,\n 40.620597938515495\n ],\n [\n -73.30284118652344,\n 40.620207045205625\n ],\n [\n -73.29082489013672,\n 40.620728235777136\n ],\n [\n -73.2791519165039,\n 40.62124942228214\n ],\n [\n -73.26696395874023,\n 40.62151001400974\n ],\n [\n -73.26284408569336,\n 40.621640309492285\n ],\n [\n -73.2516860961914,\n 40.6232038354587\n ],\n [\n -73.24172973632812,\n 40.62450674580666\n ],\n [\n -73.22954177856445,\n 40.626982205446545\n ],\n [\n -73.21701049804688,\n 40.62984841250708\n ],\n [\n -73.10525894165039,\n 40.65459689980922\n ],\n [\n -73.06182861328125,\n 40.664363513479046\n ],\n [\n -73.0232048034668,\n 40.67582118362193\n ],\n [\n -73.00071716308592,\n 40.683762276904055\n ],\n [\n -72.97891616821289,\n 40.69196274083697\n ],\n [\n -72.93548583984375,\n 40.70888114344626\n ],\n [\n -72.90887832641602,\n 40.71772905767726\n ],\n [\n -72.86527633666992,\n 40.73190929073143\n ],\n [\n -72.80811309814453,\n 40.749857912194386\n ],\n [\n -72.77807235717773,\n 40.757400090129245\n ],\n [\n -72.76708602905273,\n 40.75909046091092\n ],\n [\n -72.75558471679688,\n 40.76481139691842\n ],\n [\n -72.75575637817383,\n 40.765721500427844\n ],\n [\n -72.75472640991211,\n 40.76806170936614\n ],\n [\n -72.75489807128906,\n 40.76923178293144\n ],\n [\n -72.7573013305664,\n 40.76923178293144\n ],\n [\n -72.76004791259766,\n 40.767671680266005\n ],\n [\n -72.76176452636719,\n 40.76663159147414\n ],\n [\n -72.7650260925293,\n 40.76559148640381\n ],\n [\n -72.76588439941406,\n 40.76585151419749\n ],\n [\n -72.76725769042967,\n 40.76689161519821\n ],\n [\n -72.76880264282227,\n 40.765721500427844\n ],\n [\n -72.76897430419922,\n 40.76390128094589\n ],\n [\n -72.77103424072266,\n 40.763381209080215\n ],\n [\n -72.7730941772461,\n 40.763641245521754\n ],\n [\n -72.77498245239258,\n 40.76325119047794\n ],\n [\n -72.77618408203125,\n 40.763381209080215\n ],\n [\n -72.77704238891602,\n 40.76182096906601\n ],\n [\n -72.77841567993163,\n 40.76221103250323\n ],\n [\n -72.7792739868164,\n 40.76325119047794\n ],\n [\n -72.78099060058594,\n 40.763641245521754\n ],\n [\n -72.78116226196289,\n 40.764421348741976\n ],\n [\n -72.78322219848633,\n 40.76468138111395\n ],\n [\n -72.78596878051758,\n 40.76416131535263\n ],\n [\n -72.7895736694336,\n 40.764031298276436\n ],\n [\n -72.79232025146484,\n 40.762991152510324\n ],\n [\n -72.79386520385742,\n 40.762991152510324\n ],\n [\n -72.7950668334961,\n 40.762341053140275\n ],\n [\n -72.79489517211914,\n 40.761300880922235\n ],\n [\n -72.79661178588867,\n 40.76000064275874\n ],\n [\n -72.79867172241211,\n 40.76000064275874\n ],\n [\n -72.8005599975586,\n 40.75948054037175\n ],\n [\n -72.80158996582031,\n 40.75818026660039\n ],\n [\n -72.80107498168945,\n 40.7562298082547\n ],\n [\n -72.80244827270506,\n 40.75583970971843\n ],\n [\n -72.8038215637207,\n 40.75635984059143\n ],\n [\n -72.80570983886717,\n 40.757400090129245\n ],\n [\n -72.8067398071289,\n 40.75596974281819\n ],\n [\n -72.80570983886717,\n 40.75492947089871\n ],\n [\n -72.80605316162108,\n 40.75362910810917\n ],\n [\n -72.80776977539062,\n 40.75271883902363\n ],\n [\n -72.8096580505371,\n 40.75154847474455\n ],\n [\n -72.81171798706055,\n 40.751678516237334\n ],\n [\n -72.81206130981445,\n 40.7508982634657\n ],\n [\n -72.81412124633789,\n 40.74972786714098\n ],\n [\n -72.81721115112305,\n 40.74907763805909\n ],\n [\n -72.81927108764648,\n 40.749207684384125\n ],\n [\n -72.82115936279297,\n 40.749207684384125\n ],\n [\n -72.82424926757812,\n 40.74803725830298\n ],\n [\n -72.82854080200195,\n 40.746736760718505\n ],\n [\n -72.83489227294922,\n 40.74361546275168\n ],\n [\n -72.83952713012695,\n 40.743485405490695\n ],\n [\n -72.84244537353516,\n 40.741664577133506\n ],\n [\n -72.8445053100586,\n 40.74049401829623\n ],\n [\n -72.84793853759766,\n 40.74036395493162\n ],\n [\n -72.85188674926758,\n 40.73906330729812\n ],\n [\n -72.8558349609375,\n 40.737242357886416\n ],\n [\n -72.85943984985352,\n 40.73698221818718\n ],\n [\n -72.861328125,\n 40.73711228816394\n ],\n [\n -72.86373138427734,\n 40.73672207747068\n ],\n [\n -72.86767959594727,\n 40.73685214795608\n ],\n [\n -72.86853790283202,\n 40.73490106397246\n ],\n [\n -72.87660598754883,\n 40.73138896860918\n ],\n [\n -72.88003921508788,\n 40.732299529652956\n ],\n [\n -72.88192749023438,\n 40.732039370626225\n ],\n [\n -72.88467407226562,\n 40.73177921058233\n ],\n [\n -72.88827896118164,\n 40.73138896860918\n ],\n [\n -72.88999557495117,\n 40.7304783951045\n ],\n [\n -72.89205551147461,\n 40.73112880602221\n ],\n [\n -72.89377212524414,\n 40.73125888744284\n ],\n [\n -72.89445877075195,\n 40.72956780913899\n ],\n [\n -72.89514541625977,\n 40.727486422997785\n ],\n [\n -72.8968620300293,\n 40.72501469240076\n ],\n [\n -72.9026985168457,\n 40.72332345541449\n ],\n [\n -72.90613174438477,\n 40.72267296820733\n ],\n [\n -72.90956497192383,\n 40.721502075213984\n ],\n [\n -72.90767669677733,\n 40.724884598773755\n ],\n [\n -72.91059494018555,\n 40.724754504892424\n ],\n [\n -72.91488647460936,\n 40.72358364851732\n ],\n [\n -72.91711807250977,\n 40.72397393626433\n ],\n [\n -72.91986465454102,\n 40.7221525738643\n ],\n [\n -72.92329788208008,\n 40.72202247464282\n ],\n [\n -72.92415618896484,\n 40.72059136642329\n ],\n [\n -72.92346954345703,\n 40.719290332250544\n ],\n [\n -72.92381286621094,\n 40.71824948660363\n ],\n [\n -72.92535781860352,\n 40.71655807771725\n ],\n [\n -72.9275894165039,\n 40.7173387333125\n ],\n [\n -72.92861938476562,\n 40.71772905767726\n ],\n [\n -72.93033599853516,\n 40.71525696471578\n ],\n [\n -72.93411254882812,\n 40.71564730128621\n ],\n [\n -72.93582916259766,\n 40.71460639867946\n ],\n [\n -72.93617248535156,\n 40.713175131022716\n ],\n [\n -72.93806076049805,\n 40.71434617048493\n ],\n [\n -72.93994903564453,\n 40.71226430831242\n ],\n [\n -72.94818878173828,\n 40.712654662428214\n ],\n [\n -72.9466438293457,\n 40.711093232233985\n ],\n [\n -72.9488754272461,\n 40.71135347314246\n ],\n [\n -72.95024871826172,\n 40.709531765423854\n ],\n [\n -72.94836044311523,\n 40.70875101828792\n ],\n [\n -72.95265197753906,\n 40.70784013505986\n ],\n [\n -72.95608520507812,\n 40.705888200473375\n ],\n [\n -72.96707153320312,\n 40.701073183886756\n ],\n [\n -72.97119140625,\n 40.70250471166452\n ],\n [\n -72.97462463378906,\n 40.70250471166452\n ],\n [\n -72.97548294067383,\n 40.70042247927178\n ],\n [\n -72.97325134277344,\n 40.69847032728747\n ],\n [\n -72.98234939575195,\n 40.696908564509855\n ],\n [\n -72.98458099365234,\n 40.69534676511905\n ],\n [\n -72.99007415771484,\n 40.69456585169382\n ],\n [\n -72.99470901489258,\n 40.691181787748235\n ],\n [\n -73.0038070678711,\n 40.68753721897826\n ],\n [\n -73.0038070678711,\n 40.68584503000698\n ],\n [\n -73.03899765014648,\n 40.67373811730146\n ],\n [\n -73.0426025390625,\n 40.67517023238807\n ],\n [\n -73.04328918457031,\n 40.67256636389561\n ],\n [\n -73.05564880371092,\n 40.668660370488446\n ],\n [\n -73.07332992553711,\n 40.666837495265064\n ],\n [\n -73.08294296264647,\n 40.662670736222495\n ],\n [\n -73.10251235961914,\n 40.657852596578444\n ],\n [\n -73.10594558715819,\n 40.657592146683605\n ],\n [\n -73.10714721679688,\n 40.656680564044166\n ],\n [\n -73.11555862426758,\n 40.65681079089812\n ],\n [\n -73.12877655029297,\n 40.654206205520424\n ],\n [\n -73.13100814819336,\n 40.65433643720422\n ],\n [\n -73.13684463500977,\n 40.65303410892721\n ],\n [\n -73.13873291015625,\n 40.651601518462535\n ],\n [\n -73.14319610595703,\n 40.64951769560745\n ],\n [\n -73.15727233886719,\n 40.64990841734959\n ],\n [\n -73.16156387329102,\n 40.64834551665461\n ],\n [\n -73.16465377807617,\n 40.64587084902795\n ],\n [\n -73.16808700561523,\n 40.64339608963903\n ],\n [\n -73.18456649780273,\n 40.64183303643057\n ],\n [\n -73.19143295288086,\n 40.6396186483957\n ],\n [\n -73.19229125976562,\n 40.64118175345753\n ],\n [\n -73.19280624389648,\n 40.643135583312805\n ],\n [\n -73.1967544555664,\n 40.64248431304899\n ],\n [\n -73.20053100585938,\n 40.64079098062354\n ],\n [\n -73.20585250854492,\n 40.63727392217427\n ],\n [\n -73.22507858276367,\n 40.63154202249264\n ],\n [\n -73.23572158813477,\n 40.63219339951101\n ],\n [\n -73.25014114379883,\n 40.628154759567266\n ],\n [\n -73.2509994506836,\n 40.626982205446545\n ],\n [\n -73.26147079467773,\n 40.62567934338915\n ],\n [\n -73.26713562011719,\n 40.625288479815765\n ],\n [\n -73.2930564880371,\n 40.62554905578553\n ],\n [\n -73.29854965209961,\n 40.62945757333346\n ],\n [\n -73.3033561706543,\n 40.62841532435384\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted April 30, 2015; Version 1.1: September 27, 2016","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
(727) 502-8000
http://coastal.er.usgs.gov/
Water temperature is a key component of aquatic ecosystems because it plays a pivotal role in determining the suitability of stream and river habitat to most freshwater fish species. Continuous temperature loggers and airborne thermal infrared (TIR) remote sensing were used to assess temporal and spatial temperature patterns on the Upper Schoharie Creek and West Kill in the Catskill Mountains, New York, USA. Specific objectives were to characterize (1) contemporary thermal conditions, (2) temporal and spatial variations in stressful water temperatures, and (3) the availability of thermal refuges. In-stream loggers collected data from October 2010 to October 2012 and showed summer water temperatures exceeded the 1-day and 7-day thermal tolerance limits for trout survival at five of the seven study sites during both summers. Results of the 7 August 2012 TIR indicated there was little thermal refuge at the time of the flight. About 690,170 m2 of water surface area were mapped on the Upper Schoharie, yet only 0.009% (59 m2) was more than 1.0 °C below the median water surface temperature (BMT) at the thalweg and no areas were more than 2.0 °C BMT. On the West Kill, 79,098 m2 were mapped and 0.085% (67 m2) and 0.018% (14 m2) were BMT by 1 and 2 °C, respectively. These results indicate that summer temperatures in the majority of the study area are stressful for trout and may adversely affect growth and survival. Validation studies are needed to confirm the expectation that resident trout are in poor condition or absent from the downstream portion of the study area during warm-water periods.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2015.1033769","usgsCitation":"George, S.D., Baldigo, B.P., Smith, M.J., Mckeown, D.M., and Faulringer, J., 2016, Variations in water temperature and implications for trout populations in the Upper Schoharie Creek and West Kill, New York, USA: Journal of Freshwater Ecology, v. 31, no. 1, p. 93-108, https://doi.org/10.1080/02705060.2015.1033769.","productDescription":"16 p.","startPage":"93","endPage":"108","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052348","costCenters":[],"links":[{"id":299796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Upper Schoharie Creek and West Kill","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.90753173828125,\n 41.94110578381595\n ],\n [\n -74.90753173828125,\n 42.771211138625894\n ],\n [\n -73.96270751953125,\n 42.771211138625894\n ],\n [\n -73.96270751953125,\n 41.94110578381595\n ],\n [\n -74.90753173828125,\n 41.94110578381595\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-16","publicationStatus":"PW","scienceBaseUri":"5536234ce4b0b22a15807ac7","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Martyn J. 0000-0002-1107-9653 marsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1107-9653","contributorId":4474,"corporation":false,"usgs":true,"family":"Smith","given":"Martyn","email":"marsmith@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mckeown, Donald M","contributorId":140343,"corporation":false,"usgs":false,"family":"Mckeown","given":"Donald","email":"","middleInitial":"M","affiliations":[{"id":13462,"text":"Distinguished Researcher, Rochester Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":545341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faulringer, Jason","contributorId":140344,"corporation":false,"usgs":false,"family":"Faulringer","given":"Jason","email":"","affiliations":[{"id":13463,"text":"Systems Integration Engineer, Rochester Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":545342,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70142262,"text":"70142262 - 2016 - Persistence of external signs in Pacific herring Clupea pallasii Valenciennes with ichthyophoniasis","interactions":[],"lastModifiedDate":"2016-09-20T11:15:06","indexId":"70142262","displayToPublicDate":"2015-04-11T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Persistence of external signs in Pacific herring Clupea pallasii Valenciennes with ichthyophoniasis","docAbstract":"The progression of external signs of Ichthyophonus infection in Pacific herring Clupea pallasii Valenciennes was highly variable and asynchronous after intraperitoneal injection with pure parasite preparations; however, external signs generally persisted through the end of the study (429 days post-exposure). Observed signs included papules, erosions and ulcers. The prevalence of external signs plateaued 35 days post-exposure and persisted in 73–79% of exposed individuals through the end of the first experiment (147 days post-exposure). Among a second group of infected herring, external signs completely resolved in only 10% of the fish after 429 days. The onset of mortality preceded the appearance of external signs. Histological examination of infected skin and skeletal muscle tissues indicated an apparent affinity of the parasite for host red muscle. Host responses consisted primarily of granulomatous inflammation, fibrosis and necrosis in the skeletal muscle and other tissues. The persistence and asynchrony of external signs and host response indicated that they were neither a precursor to host mortality nor did they provide reliable metrics for hindcasting on the date of exposure. However, the long-term persistence of clinical signs in Pacific herring may be useful in ascertaining the population-level impacts of ichthyophoniasis in regularly observed populations.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.12377","usgsCitation":"Hart, L.M., Conway, C.M., Elliott, D.G., and Hershberger, P., 2016, Persistence of external signs in Pacific herring Clupea pallasii Valenciennes with ichthyophoniasis: Journal of Fish Diseases, v. 39, no. 4, p. 429-440, https://doi.org/10.1111/jfd.12377.","productDescription":"12 p.","startPage":"429","endPage":"440","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061458","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":310266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-11","publicationStatus":"PW","scienceBaseUri":"5628b73ee4b0d158f5926c44","contributors":{"authors":[{"text":"Hart, Lucas M. lhart@usgs.gov","contributorId":4829,"corporation":false,"usgs":true,"family":"Hart","given":"Lucas","email":"lhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":541768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Carla M. 0000-0002-3851-3616 cmconway@usgs.gov","orcid":"https://orcid.org/0000-0002-3851-3616","contributorId":2946,"corporation":false,"usgs":true,"family":"Conway","given":"Carla","email":"cmconway@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":541770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, Diane G. 0000-0002-4809-6692 dgelliott@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-6692","contributorId":2947,"corporation":false,"usgs":true,"family":"Elliott","given":"Diane","email":"dgelliott@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":541769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hershberger, Paul K. 0000-0002-2261-7760 phershberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":139547,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul K.","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":541771,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70145835,"text":"70145835 - 2016 - Habitat suitability criteria via parametric distributions: estimation, model selection and uncertainty","interactions":[],"lastModifiedDate":"2016-06-15T15:58:27","indexId":"70145835","displayToPublicDate":"2015-04-09T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Habitat suitability criteria via parametric distributions: estimation, model selection and uncertainty","docAbstract":"Previous methods for constructing univariate habitat suitability criteria (HSC) curves have ranged from professional judgement to kernel-smoothed density functions or combinations thereof. We present a new method of generating HSC curves that applies probability density functions as the mathematical representation of the curves. Compared with previous approaches, benefits of our method include (1) estimation of probability density function parameters directly from raw data, (2) quantitative methods for selecting among several candidate probability density functions, and (3) concise methods for expressing estimation uncertainty in the HSC curves. We demonstrate our method with a thorough example using data collected on the depth of water used by juvenile Chinook salmon (Oncorhynchus tschawytscha) in the Klamath River of northern California and southern Oregon. All R code needed to implement our example is provided in the appendix. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/rra.2900","usgsCitation":"Som, N.A., Goodman, D.H., Perry, R.W., and Hardy, T., 2016, Habitat suitability criteria via parametric distributions: estimation, model selection and uncertainty: River Research and Applications, v. 32, no. 5, p. 1128-1137, https://doi.org/10.1002/rra.2900.","productDescription":"10 p.","startPage":"1128","endPage":"1137","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062720","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":299536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.57421875,\n 41.77336007442078\n ],\n [\n -123.57421875,\n 42.259016415705766\n ],\n [\n -121.72302246093749,\n 42.259016415705766\n ],\n [\n -121.72302246093749,\n 41.77336007442078\n ],\n [\n -123.57421875,\n 41.77336007442078\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-27","publicationStatus":"PW","scienceBaseUri":"5527949ce4b026915857c83a","contributors":{"authors":[{"text":"Som, Nicholas A.","contributorId":36039,"corporation":false,"usgs":true,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":544452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goodman, Damon H.","contributorId":140150,"corporation":false,"usgs":false,"family":"Goodman","given":"Damon","email":"","middleInitial":"H.","affiliations":[{"id":13396,"text":"U.S. Fish and Wildlife Service, Arcata FWO, Arcata, CA 95521","active":true,"usgs":false}],"preferred":false,"id":544453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":544451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardy, Thomas B.","contributorId":62936,"corporation":false,"usgs":true,"family":"Hardy","given":"Thomas B.","affiliations":[],"preferred":false,"id":544454,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70145792,"text":"70145792 - 2016 - The parasite Ichthyophonus sp. in Pacific herring from the coastal NE Pacific","interactions":[],"lastModifiedDate":"2017-05-11T15:16:17","indexId":"70145792","displayToPublicDate":"2015-04-08T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"The parasite Ichthyophonus sp. in Pacific herring from the coastal NE Pacific","docAbstract":"The protistan parasite Ichthyophonus occurred in populations of Pacific herring Clupea pallasii Valenciennes throughout coastal areas of the NE Pacific, ranging from Puget Sound, WA north to the Gulf of Alaska, AK. Infection prevalence in local Pacific herring stocks varied seasonally and annually, and a general pattern of increasing prevalence with host size and/or age persisted throughout the NE Pacific. An exception to this zoographic pattern occurred among a group of juvenile, age 1+ year Pacific herring from Cordova Harbor, AK in June 2010, which demonstrated an unusually high infection prevalence of 35%. Reasons for this anomaly were hypothesized to involve anthropogenic influences that resulted in locally elevated infection pressures. Interannual declines in infection prevalence from some populations (e.g. Lower Cook Inlet, AK; from 20–32% in 2007 to 0–3% during 2009–13) or from the largest size cohorts of other populations (e.g. Sitka Sound, AK; from 62.5% in 2007 to 19.6% in 2013) were likely a reflection of selective mortality among the infected cohorts. All available information for Ichthyophonus in the NE Pacific, including broad geographic range, low host specificity and presence in archived Pacific herring tissue samples dating to the 1980s, indicate a long-standing host–pathogen relationship.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.12370","usgsCitation":"Hershberger, P., Gregg, J.L., Hart, L.M., Moffitt, S., Brenner, R.L., Stick, K., Coonradt, E., Otis, E.O., Vollenweider, J.J., Garver, K.A., Lovy, J., and Meyers, T., 2016, The parasite Ichthyophonus sp. in Pacific herring from the coastal NE Pacific: Journal of Fish Diseases, v. 39, no. 4, p. 395-410, https://doi.org/10.1111/jfd.12370.","productDescription":"16 p.","startPage":"395","endPage":"410","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060363","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":299491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, British Columbia, California, Washington","otherGeospatial":"Pacific Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.4766159057617,\n 37.86103094116189\n ],\n [\n -122.4766159057617,\n 37.94311450175187\n ],\n [\n -122.37567901611328,\n 37.94311450175187\n ],\n [\n -122.37567901611328,\n 37.86103094116189\n ],\n [\n -122.4766159057617,\n 37.86103094116189\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.991943359375,\n 47.08508535995384\n ],\n [\n -122.27783203125,\n 47.2270293988673\n ],\n [\n -122.244873046875,\n 48.10743118848039\n ],\n [\n -122.45361328124999,\n 48.821332549646634\n ],\n [\n -123.23364257812499,\n 49.6462914122132\n ],\n [\n -123.90380859374999,\n 50.21909462044748\n ],\n [\n -124.91455078125,\n 50.94458443495011\n ],\n [\n -126.40869140625,\n 51.713416052417614\n ],\n [\n -127.19970703125,\n 52.44261787120725\n ],\n [\n -128.232421875,\n 53.225768435790194\n ],\n [\n -128.91357421875,\n 53.969012350740314\n ],\n [\n -130.14404296874997,\n 55.07836723201515\n ],\n [\n -133.04443359374997,\n 57.52762173837744\n ],\n [\n -134.967041015625,\n 58.3844382319306\n ],\n [\n -139.5263671875,\n 59.40036514079251\n ],\n [\n -142.0751953125,\n 60.009970961180386\n ],\n [\n -145.61279296875,\n 60.45721779774397\n ],\n [\n -146.7333984375,\n 61.05828537037916\n ],\n [\n -150.49072265625,\n 61.2913492826376\n ],\n [\n -151.7431640625,\n 60.919754532399686\n ],\n [\n -152.60009765625,\n 60.15244221438077\n ],\n [\n -154.16015625,\n 59.265880628258095\n ],\n [\n -153.43505859375,\n 58.83649009392136\n ],\n [\n -151.80908203125,\n 58.263287052486035\n ],\n [\n -146.93115234375,\n 59.701013531997326\n ],\n [\n -140.3173828125,\n 58.81374171570782\n ],\n [\n -137.021484375,\n 56.9569571133683\n ],\n [\n -131.59423828124997,\n 52.03897658307622\n ],\n [\n -127.46337890625001,\n 49.59647007089266\n ],\n [\n -124.49707031249999,\n 48.32703913063476\n ],\n [\n -123.06884765625,\n 48.1367666796927\n ],\n [\n -122.6953125,\n 47.88688085106898\n ],\n [\n -123.15673828124999,\n 47.56170075451973\n ],\n [\n -123.18969726562499,\n 47.31275872224939\n ],\n [\n -122.991943359375,\n 47.08508535995384\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-31","publicationStatus":"PW","scienceBaseUri":"55264321e4b026915857c63c","contributors":{"authors":[{"text":"Hershberger, Paul K. 0000-0002-2261-7760 phershberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":139547,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul K.","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":544374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gregg, Jacob L. jgregg@usgs.gov","contributorId":2884,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":544375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Lucas M. lhart@usgs.gov","contributorId":4829,"corporation":false,"usgs":true,"family":"Hart","given":"Lucas","email":"lhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":544376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moffitt, Steve","contributorId":140120,"corporation":false,"usgs":false,"family":"Moffitt","given":"Steve","email":"","affiliations":[{"id":13387,"text":"Alaska Department of Fish and Game - Commercial Fisheries, P.O. Box 669, Cordova, AK 99574","active":true,"usgs":false}],"preferred":false,"id":544377,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenner, Richard L.","contributorId":94457,"corporation":false,"usgs":false,"family":"Brenner","given":"Richard","email":"","middleInitial":"L.","affiliations":[{"id":13387,"text":"Alaska Department of Fish and Game - Commercial Fisheries, P.O. Box 669, Cordova, AK 99574","active":true,"usgs":false}],"preferred":false,"id":544378,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stick, K.","contributorId":49949,"corporation":false,"usgs":true,"family":"Stick","given":"K.","email":"","affiliations":[],"preferred":false,"id":544379,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coonradt, Eric","contributorId":140121,"corporation":false,"usgs":false,"family":"Coonradt","given":"Eric","email":"","affiliations":[{"id":13388,"text":"ADF&G - Commercial Fisheries, 304 Lake Street, Sitka, Alaska 99835","active":true,"usgs":false}],"preferred":false,"id":544380,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Otis, E. O.","contributorId":140122,"corporation":false,"usgs":false,"family":"Otis","given":"E.","email":"","middleInitial":"O.","affiliations":[{"id":13389,"text":"ADF&G - Commercial Fisheries, 3298 Douglas Place, Homer, Alaska 99603","active":true,"usgs":false}],"preferred":false,"id":544381,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vollenweider, Johanna J.","contributorId":24601,"corporation":false,"usgs":false,"family":"Vollenweider","given":"Johanna","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":544382,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Garver, Kyle A.","contributorId":77816,"corporation":false,"usgs":true,"family":"Garver","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":544383,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lovy, Jan","contributorId":14708,"corporation":false,"usgs":false,"family":"Lovy","given":"Jan","affiliations":[],"preferred":false,"id":544384,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Meyers, T.R.","contributorId":52470,"corporation":false,"usgs":false,"family":"Meyers","given":"T.R.","affiliations":[],"preferred":false,"id":544385,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70145073,"text":"70145073 - 2016 - Hydrologic response of streams restored with check dams in the Chiricahua Mountains, Arizona","interactions":[],"lastModifiedDate":"2016-04-21T10:41:30","indexId":"70145073","displayToPublicDate":"2015-04-03T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic response of streams restored with check dams in the Chiricahua Mountains, Arizona","docAbstract":"In this study, hydrological processes are evaluated to determine impacts of stream restoration in the West Turkey Creek, Chiricahua Mountains, southeast Arizona, during a summer-monsoon season (June–October of 2013). A paired-watershed approach was used to analyze the effectiveness of check dams to mitigate high flows and impact long-term maintenance of hydrologic function. One watershed had been extensively altered by the installation of numerous small check dams over the past 30 years, and the other was untreated (control). We modified and installed a new stream-gauging mechanism developed for remote areas, to compare the water balance and calculate rainfall–runoff ratios. Results show that even 30 years after installation, most of the check dams were still functional. The watershed treated with check dams has a lower runoff response to precipitation compared with the untreated, most notably in measurements of peak flow. Concerns that downstream flows would be reduced in the treated watershed, due to storage of water behind upstream check dams, were not realized; instead, flow volumes were actually higher overall in the treated stream, even though peak flows were dampened. We surmise that check dams are a useful management tool for reducing flow velocities associated with erosion and degradation and posit they can increase baseflow in aridlands.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.2895","usgsCitation":"Norman, L.M., Brinkerhoff, F.C., Gwilliam, E., Guertin, D.P., Callegary, J.B., Goodrich, D.C., Nagler, P.L., and Gray, F., 2016, Hydrologic response of streams restored with check dams in the Chiricahua Mountains, Arizona: River Research and Applications, v. 32, no. 4, p. 519-527, https://doi.org/10.1002/rra.2895.","productDescription":"9 p.","startPage":"519","endPage":"527","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054961","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.2895","text":"Publisher Index Page"},{"id":299331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Chiricahua Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.500732421875,\n 31.549282377352668\n ],\n [\n -109.500732421875,\n 32.14771106595571\n ],\n [\n -109.0997314453125,\n 32.14771106595571\n ],\n [\n -109.0997314453125,\n 31.549282377352668\n ],\n [\n -109.500732421875,\n 31.549282377352668\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-21","publicationStatus":"PW","scienceBaseUri":"551fab98e4b027f0aee3bae8","chorus":{"doi":"10.1002/rra.2895","url":"http://dx.doi.org/10.1002/rra.2895","publisher":"Wiley-Blackwell","authors":"Norman L. M., Brinkerhoff F., Gwilliam E., Guertin D. P., Callegary J., Goodrich D. C., Nagler P. L., Gray F.","journalName":"River Research and Applications","publicationDate":"3/21/2015","auditedOn":"3/17/2016"},"contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":543928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinkerhoff, Fletcher C. fbrinker@usgs.gov","contributorId":5285,"corporation":false,"usgs":true,"family":"Brinkerhoff","given":"Fletcher","email":"fbrinker@usgs.gov","middleInitial":"C.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gwilliam, Evan","contributorId":140052,"corporation":false,"usgs":false,"family":"Gwilliam","given":"Evan","email":"","affiliations":[{"id":13367,"text":"National Parks Service","active":true,"usgs":false}],"preferred":false,"id":543930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guertin, D. Phillip","contributorId":46062,"corporation":false,"usgs":false,"family":"Guertin","given":"D.","email":"","middleInitial":"Phillip","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":543931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543933,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goodrich, David C.","contributorId":65552,"corporation":false,"usgs":false,"family":"Goodrich","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":543935,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":543932,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":543934,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70179039,"text":"70179039 - 2016 - Sediment budgets, transport, and depositional trends in a large tidal delta","interactions":[],"lastModifiedDate":"2016-12-20T13:28:41","indexId":"70179039","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Sediment budgets, transport, and depositional trends in a large tidal delta","docAbstract":"The Sacramento-San Joaquin Delta is the largest delta on the west coast of the United States. It is formed where the confluence of California’s two largest rivers (the Sacramento and San Joaquin) meet the ocean tides and has a significant physical gradient from fluvial to tidal. It is a semidiurnal system (two high and two low tides per day). Today, the Delta is one of the most manipulated in the United States. Once composed of many shallow, meandering and braided dendritic channels and dead-end sloughs and wetlands, it is now a network of leveed canals moving clear water around subsided islands. It historically has supported a biologically diverse tidal wetland complex, of which only 3% remains today (Whipple et al., 2012). It has also witnessed a collapse in the native fish populations. The Delta provides critical habitat for native species, however the hydrology and water quality are complicated by manipulations and diversions to satisfy multiple statewide objectives. Today water managers face co-equal goals of water supply to Californians and maintenance of ecosystem health and function. The Delta is a hub for both a multi-hundred-million dollar agricultural industry and a massive north-to-south water delivery system, supplying the primary source of freshwater to Central Valley farmers and drinking water for two-thirds of California’s population. Large pump facilities support the water demand and draw water from the Delta, further altering circulation patterns and redirecting the net flow toward the export facilities (Monsen et al., 2007). Fluvial sedimentation, along with organic accumulation, creates and sustains the Delta landscape. Hydraulic mining for gold in the watershed during the late 1800s delivered an especially large sediment pulse to the Delta. More recently, from 1955 to the present, a significant sediment decline has been observed that is thought to have been caused mostly by the construction of water storage reservoirs that trap the upstream sediment supply (Wright and Schoellhamer, 2004). Today, one concern is whether the volume of sediment supplied from the upper watershed is sufficient to support ecological function and sustain the Delta landscape and ecosystem in the face of climate change, sea level rise, and proposed restoration associated with the Bay Delta Conservation Plan (http://baydeltaconservationplan.com). Ecosystem health is a management focus and 150,000 acres of restoration is currently proposed, therefore it is of increasingly important to understand the quantity of sediment available for marsh and wetland restoration throughout the Bay Delta Estuary. It is also important to understand the pathways for sediment transport and the sediment budget into each of three Delta regions (figure 1) to guide restoration planning, modeling, and management.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference","conferenceTitle":"Federal Interagency Sedimentation Conference, 10th","conferenceDate":"April 2015","conferenceLocation":"Reno, Nevada","language":"English","publisher":"ACWI Subcommittee on Sedimentation","usgsCitation":"Morgan, T., and Wright, S., 2016, Sediment budgets, transport, and depositional trends in a large tidal delta, in Proceedings of the Joint Federal Interagency Conference, Reno, Nevada, April 2015, p. 893-904.","productDescription":"12 p.","startPage":"893","endPage":"904","ipdsId":"IP-062201","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":332342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332094,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/Contents/5C-Morgan-King.pdf"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.54998779296874,\n 38.59326051987162\n ],\n [\n -121.63238525390626,\n 38.49229419236133\n ],\n [\n -121.71478271484375,\n 38.14967752360809\n ],\n [\n -121.84112548828125,\n 38.112949789189614\n ],\n [\n -122.00317382812499,\n 38.18422791820727\n ],\n [\n -122.1514892578125,\n 38.14751758025121\n ],\n [\n -122.15698242187499,\n 38.06539235133249\n ],\n [\n -121.76696777343749,\n 37.96368875328558\n ],\n [\n -121.60491943359375,\n 37.80761398306056\n ],\n [\n -121.47857666015625,\n 37.72293542866175\n ],\n [\n -121.23962402343749,\n 37.783740105227224\n ],\n [\n -121.36322021484374,\n 38.17559185481662\n ],\n [\n -121.48956298828124,\n 38.54816542304656\n ],\n [\n -121.54998779296874,\n 38.59326051987162\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51bfe4b01224f329b5ef","contributors":{"authors":[{"text":"Morgan, Tara 0000-0001-5632-5232 tamorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-5632-5232","contributorId":177451,"corporation":false,"usgs":true,"family":"Morgan","given":"Tara","email":"tamorgan@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655854,"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":655855,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173417,"text":"70173417 - 2016 - Synergistic and singular effects of river discharge and lunar illumination on dam passage of upstream migrant yellow-phase American eels","interactions":[],"lastModifiedDate":"2016-06-20T17:35:16","indexId":"70173417","displayToPublicDate":"2015-03-19T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1936,"text":"ICES Journal of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Synergistic and singular effects of river discharge and lunar illumination on dam passage of upstream migrant yellow-phase American eels","docAbstract":"Monitoring of dam passage can be useful for management and conservation assessments of American eel, particularly if passage counts can be examined over multiple years. During a 7-year study (2007–2013) of upstream migration of American eels within the lower Shenandoah River (Potomac River drainage), we counted and measured American eels at the Millville Dam eel pass, where annual study periods were determined by the timing of the eel pass installation during spring or summer and removal during fall. Daily American eel counts were analysed with negative binomial regression models, with and without a year (YR) effect, and with the following time-varying environmental covariates: river discharge of the Shenandoah River at Millville (RDM) and of the Potomac River at Point of Rocks, lunar illumination (LI), water temperature, and cloud cover. A total of 17 161 yellow-phase American eels used the pass during the seven annual periods, and length measurements were obtained from 9213 individuals (mean = 294 mm TL, s.e. = 0.49, range 183–594 mm). Data on passage counts of American eels supported an additive-effects model (YR + LI + RDM) where parameter estimates were positive for river discharge (β = 7.3, s.e. = 0.01) and negative for LI (β = −1.9, s.e. = 0.34). Interestingly, RDM and LI acted synergistically and singularly as correlates of upstream migration of American eels, but the highest daily counts and multiple-day passage events were associated with increased RDM. Annual installation of the eel pass during late spring or summer prevented an early spring assessment, a period with higher RDM relative to those values obtained during sampling periods. Because increases in river discharge are climatically controlled events, upstream migration events of American eels within the Potomac River drainage are likely linked to the influence of climate variability on flow regime.
","language":"English","publisher":"Academic Press","doi":"10.1093/icesjms/fsv052","usgsCitation":"Welsh, S., Aldinger, J.L., Braham, M., and Zimmerman, J.L., 2016, Synergistic and singular effects of river discharge and lunar illumination on dam passage of upstream migrant yellow-phase American eels: ICES Journal of Marine Science, v. 73, no. 1, p. 33-42, https://doi.org/10.1093/icesjms/fsv052.","productDescription":"10 p.","startPage":"33","endPage":"42","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057957","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/icesjms/fsv052","text":"Publisher Index Page"},{"id":324051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Potomac River drainage, Shenandoah River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.1787109375,\n 38.98076276501633\n ],\n [\n -78.1787109375,\n 39.51675478434244\n ],\n [\n -77.4261474609375,\n 39.51675478434244\n ],\n [\n -77.4261474609375,\n 38.98076276501633\n ],\n [\n -78.1787109375,\n 38.98076276501633\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-02","publicationStatus":"PW","scienceBaseUri":"576913ebe4b07657d19ff288","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":637101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldinger, Joni L.","contributorId":171886,"corporation":false,"usgs":false,"family":"Aldinger","given":"Joni","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":639935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braham, Melissa A.","contributorId":140127,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa A.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":639936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Jennifer L.","contributorId":171351,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":26870,"text":"West Virginia University, Mortgantown, WV","active":true,"usgs":false}],"preferred":false,"id":639937,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}