{"pageNumber":"595","pageRowStart":"14850","pageSize":"25","recordCount":69035,"records":[{"id":70048137,"text":"70048137 - 2013 - Ca, Sr, O and D isotope approach to defining the chemical evolution of hydrothermal fluids: example from Long Valley, CA, USA","interactions":[],"lastModifiedDate":"2019-03-25T14:26:33","indexId":"70048137","displayToPublicDate":"2013-12-01T11:26:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Ca, Sr, O and D isotope approach to defining the chemical evolution of hydrothermal fluids: example from Long Valley, CA, USA","docAbstract":"We present chemical and isotopic data for fluids, minerals and rocks from the Long Valley meteoric-hydrothermal system. The samples encompass the presumed hydrothermal upwelling zone in the west moat of the caldera, the Casa Diablo geothermal field, and a series of wells defining a nearly linear, ∼16 km long, west-to-east trend along the likely fluid flow path. Fluid samples were analyzed for the isotopes of water, Sr, and Ca, the concentrations of major cations and anions, alkalinity, and total CO<sub>2</sub>. Water isotope data conform to trends documented in earlier studies, interpreted as indicating a single hydrothermal fluid mixing with local groundwater. Sr isotopes show subtle changes along the flow path, which requires rapid fluid flow and minimal reaction between the channelized fluids and the wallrocks. Sr and O isotopes are used to calculate fracture spacing using a dual porosity model. Calculated fracture spacing and temperature data for hydrothermal fluids indicate the system is (approximately) at steady-state. Correlated variations among total CO<sub>2</sub>, and the concentration and isotopic composition of Ca suggest progressive fluid degassing (loss of CO<sub>2</sub>), which drives calcite precipitation as the fluid flows west-to-east and cools. The shifts in Ca isotopes require that calcite precipitated at temperatures of 150–180 °C is fractionated by ca. −0.3‰ to −0.5‰ relative to aqueous species. Our data are the first evidence that Ca isotopes undergo kinetic fractionation at high temperatures (>100 °C) and can be used to trace calcite precipitation along hydrothermal fluid flow paths.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2013.08.011","usgsCitation":"Brown, S.T., Kennedy, B.M., DePaolo, D., Hurwitz, S., and Evans, W.C., 2013, Ca, Sr, O and D isotope approach to defining the chemical evolution of hydrothermal fluids: example from Long Valley, CA, USA: Geochimica et Cosmochimica Acta, v. 122, p. 209-225, https://doi.org/10.1016/j.gca.2013.08.011.","productDescription":"17 p.","startPage":"209","endPage":"225","numberOfPages":"17","ipdsId":"IP-051352","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":280992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.34,37.4 ], [ -119.34,37.87 ], [ -118.63,37.87 ], [ -118.63,37.4 ], [ -119.34,37.4 ] ] ] } } ] }","volume":"122","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4ffde4b0b290850f30f3","contributors":{"authors":[{"text":"Brown, Shaun T.","contributorId":68647,"corporation":false,"usgs":true,"family":"Brown","given":"Shaun","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":483815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, B. Mack","contributorId":82758,"corporation":false,"usgs":true,"family":"Kennedy","given":"B.","email":"","middleInitial":"Mack","affiliations":[],"preferred":false,"id":483817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DePaolo, Donald J.","contributorId":69472,"corporation":false,"usgs":true,"family":"DePaolo","given":"Donald J.","affiliations":[],"preferred":false,"id":483816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":483813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":483814,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70072614,"text":"70072614 - 2013 - Surprising abundance of Gallionella-related iron oxidizers in creek sediments at pH 4.4 or at high heavy metal concentrations","interactions":[],"lastModifiedDate":"2014-01-22T11:27:48","indexId":"70072614","displayToPublicDate":"2013-12-01T11:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Surprising abundance of Gallionella-related iron oxidizers in creek sediments at pH 4.4 or at high heavy metal concentrations","docAbstract":"We identified and quantified abundant iron-oxidizing bacteria (FeOB) at three iron-rich, metal-contaminated creek sites with increasing sediment pH from extremely acidic (R1, pH 2.7), to moderately acidic (R2, pH 4.4), to slightly acidic (R3, pH 6.3) in a former uranium-mining district. The geochemical parameters showed little variations over the 1.5 year study period. The highest metal concentrations found in creek sediments always coincided with the lowest metal concentrations in creek water at the slightly acidic site R3. Sequential extractions of R3 sediment revealed large portions of heavy metals (Ni, Cu, Zn, Pb, U) bound to the iron oxide fraction. Light microscopy of glass slides exposed in creeks detected twisted stalks characteristic of microaerobic FeOB of the family Gallionellaceae at R3 but also at the acidic site R2. Sequences related to FeOB such as Gallionella ferruginea, Sideroxydans sp. CL21, Ferritrophicum radicicola, and Acidovorax sp. BrG1 were identified in the sediments. The highest fraction of clone sequences similar to the acidophilic “Ferrovum myxofaciens” was detected in R1. Quantitative PCR using primer sets specific for Gallionella spp., Sideroxydans spp., and “Ferrovum myxofaciens” revealed that ~72% (R2 sediment) and 37% (R3 sediment) of total bacterial 16S rRNA gene copies could be assigned to groups of FeOB with dominance of microaerobic Gallionella spp. at both sites. Gallionella spp. had similar and very high absolute and relative gene copy numbers in both sediment communities. Thus, Gallionella-like organisms appear to exhibit a greater acid and metal tolerance than shown before. Microaerobic FeOB from R3 creek sediment enriched in newly developed metal gradient tubes tolerated metal concentrations of 35 mM Co, 24 mM Ni, and 1.3 mM Cd, higher than those in sediments. Our results will extend the limited knowledge of FeOB at contaminated, moderately to slightly acidic environments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Frontiers in Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Frontiers Research Foundation","doi":"10.3389/fmicb.2013.00390","usgsCitation":"Fabisch, M., Beulig, F., Akob, D.M., and Küsel, K., 2013, Surprising abundance of Gallionella-related iron oxidizers in creek sediments at pH 4.4 or at high heavy metal concentrations: Frontiers in Microbiology, v. 4, 12 p., https://doi.org/10.3389/fmicb.2013.00390.","productDescription":"12 p.","numberOfPages":"12","ipdsId":"IP-052860","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":473417,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2013.00390","text":"Publisher Index Page"},{"id":281365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281116,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3389/fmicb.2013.00390"}],"country":"Germany","city":"Ronneburg","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 9.012929,50.201997 ], [ 9.012929,50.249873 ], [ 9.077526,50.249873 ], [ 9.077526,50.201997 ], [ 9.012929,50.201997 ] ] ] } } ] }","volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7604e4b0b2908510aa18","contributors":{"authors":[{"text":"Fabisch, Maria","contributorId":17137,"corporation":false,"usgs":true,"family":"Fabisch","given":"Maria","affiliations":[],"preferred":false,"id":488529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beulig, Felix","contributorId":56971,"corporation":false,"usgs":true,"family":"Beulig","given":"Felix","email":"","affiliations":[],"preferred":false,"id":488530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":488528,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Küsel, Kirsten","contributorId":96191,"corporation":false,"usgs":false,"family":"Küsel","given":"Kirsten","affiliations":[{"id":13425,"text":"Aquatic Geomicrobiology, Institute of Ecology, Friedrich Schiller University Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":488531,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70135129,"text":"70135129 - 2013 - Evaluation of blood and muscle tissues for molecular detection and characterization of hematozoa infections in northern pintails (<i>Anas acuta</i>) wintering in California","interactions":[],"lastModifiedDate":"2014-12-11T10:59:46","indexId":"70135129","displayToPublicDate":"2013-12-01T11:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of blood and muscle tissues for molecular detection and characterization of hematozoa infections in northern pintails (<i>Anas acuta</i>) wintering in California","docAbstract":"<p><span>Information on the molecular detection of hematozoa from different tissue types and multiple years would be useful to inform sample collection efforts and interpret results of meta-analyses or investigations spanning multiple seasons. In this study, we tested blood and muscle tissue collected from northern pintails (</span><i>Anas acuta</i><span>) during autumn and winter of different years to evaluate prevalence and genetic diversity of</span><i>Leucocytozoon</i><span>,<span>&nbsp;</span></span><i>Haemoproteus</i><span>, and<span>&nbsp;</span></span><i>Plasmodium</i><span><span>&nbsp;</span>infections in this abundant waterfowl species of the Central Valley of California. We first compared results for paired blood and wing muscle samples to assess the utility of different tissue types for molecular investigations of haemosporidian parasites. Second, we explored inter-annual variability of hematozoa infection in Central Valley northern pintails and investigated possible effects of age, sex, and sub-region of sample collection on estimated parasite detection probability and prevalence. We found limited evidence for differences between tissue types in detection probability and prevalence of</span><i>Leucocytozoon</i><span>,<span>&nbsp;</span></span><i>Haemoproteus</i><span>, and<span>&nbsp;</span></span><i>Plasmodium</i><span><span>&nbsp;</span>parasites, which supports the utility of both sample types for obtaining information on hematozoan infections. However, we detected 11 haemosporidian mtDNA cyt<span>&nbsp;</span></span><i>b</i><span>haplotypes in blood samples vs. six in wing muscle tissue collected during the same sample year suggesting an advantage to using blood samples for investigations of genetic diversity. Estimated prevalence of</span><i>Leucocytozoon</i><span><span>&nbsp;</span>parasites was greater during 2006&ndash;2007 as compared to 2011&ndash;2012 and four unique haemosporidian mtDNA cyt<span>&nbsp;</span></span><i>b</i><span><span>&nbsp;</span>haplotypes were detected in the former sample year but not in the latter. Seven of 15 mtDNA cyt<span>&nbsp;</span></span><i>b</i><span><span>&nbsp;</span>haplotypes detected in northern pintails had 100% identity with previously reported hematozoa lineages detected in waterfowl (</span><i>Haemoproteus</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>Leucocytozoon</i><span>) or other avian taxa (</span><i>Plasmodium</i><span>) providing support for lack of host specificity for some parasite lineages.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2013.02.001","usgsCitation":"Ramey, A.M., Schmutz, J.A., Fleskes, J.P., and Yabsley, M.J., 2013, Evaluation of blood and muscle tissues for molecular detection and characterization of hematozoa infections in northern pintails (<i>Anas acuta</i>) wintering in California: International Journal for Parasitology: Parasites and Wildlife, v. 2, p. 102-109, https://doi.org/10.1016/j.ijppaw.2013.02.001.","productDescription":"8 p.","startPage":"102","endPage":"109","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043957","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":473419,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2013.02.001","text":"Publisher Index Page"},{"id":296617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.58544921875,\n              36.26199220445664\n            ],\n            [\n              -122.58544921875,\n              40.22921818870117\n            ],\n            [\n              -120.16845703125,\n              40.22921818870117\n            ],\n            [\n              -120.16845703125,\n              36.26199220445664\n            ],\n            [\n              -122.58544921875,\n              36.26199220445664\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"548ace38e4b00f366bee37b0","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":1889,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":526980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yabsley, Michael J.","contributorId":76985,"corporation":false,"usgs":false,"family":"Yabsley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13266,"text":"Warnell School of Forestry and Natural Resources, The University of Georgia","active":true,"usgs":false}],"preferred":false,"id":526981,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048318,"text":"70048318 - 2013 - Sensitivity of fish density estimates to standard analytical procedures applied to Great Lakes hydroacoustic data","interactions":[],"lastModifiedDate":"2014-01-08T10:50:59","indexId":"70048318","displayToPublicDate":"2013-12-01T10:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of fish density estimates to standard analytical procedures applied to Great Lakes hydroacoustic data","docAbstract":"Standardized methods of data collection and analysis ensure quality and facilitate comparisons among systems. We evaluated the importance of three recommendations from the Standard Operating Procedure for hydroacoustics in the Laurentian Great Lakes (GLSOP) on density estimates of target species: noise subtraction; setting volume backscattering strength (S<sub>v</sub>) thresholds from user-defined minimum target strength (TS) of interest (TS-based S<sub>v</sub> threshold); and calculations of an index for multiple targets (N<sub>v</sub> index) to identify and remove biased TS values. Eliminating noise had the predictable effect of decreasing density estimates in most lakes. Using the TS-based Sv threshold decreased fish densities in the middle and lower layers in the deepest lakes with abundant invertebrates (e.g., Mysis diluviana). Correcting for biased in situ TS increased measured density up to 86% in the shallower lakes, which had the highest fish densities. The current recommendations by the GLSOP significantly influence acoustic density estimates, but the degree of importance is lake dependent. Applying GLSOP recommendations, whether in the Laurentian Great Lakes or elsewhere, will improve our ability to compare results among lakes. We recommend further development of standards, including minimum TS and analytical cell size, for reducing the effect of biased in situ TS on density estimates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.09.002","usgsCitation":"Kocovsky, P., Rudstam, L.G., Yule, D., Warner, D.M., Schaner, T., Pientka, B., Deller, J.W., Waterfield, H.A., Witzel, L.D., and Sullivan, P., 2013, Sensitivity of fish density estimates to standard analytical procedures applied to Great Lakes hydroacoustic data: Journal of Great Lakes Research, v. 39, no. 4, p. 655-662, https://doi.org/10.1016/j.jglr.2013.09.002.","productDescription":"8 p.","startPage":"655","endPage":"662","numberOfPages":"8","ipdsId":"IP-051226","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":280707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280706,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.09.002"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.38 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.38 ], [ -92.11,41.38 ] ] ] } } ] }","volume":"39","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd726de4b0b290851084d9","contributors":{"authors":[{"text":"Kocovsky, Patrick M.","contributorId":89381,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick M.","affiliations":[],"preferred":false,"id":484309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":484305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yule, Daniel L.","contributorId":92130,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel L.","affiliations":[],"preferred":false,"id":484310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":484302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaner, Ted","contributorId":69939,"corporation":false,"usgs":true,"family":"Schaner","given":"Ted","email":"","affiliations":[],"preferred":false,"id":484308,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pientka, Bernie","contributorId":57760,"corporation":false,"usgs":true,"family":"Pientka","given":"Bernie","affiliations":[],"preferred":false,"id":484306,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Deller, John W.","contributorId":48862,"corporation":false,"usgs":true,"family":"Deller","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":484303,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waterfield, Holly A.","contributorId":49698,"corporation":false,"usgs":true,"family":"Waterfield","given":"Holly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484304,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Witzel, Larry D.","contributorId":68642,"corporation":false,"usgs":true,"family":"Witzel","given":"Larry","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":484307,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sullivan, Patrick J.","contributorId":97813,"corporation":false,"usgs":true,"family":"Sullivan","given":"Patrick J.","affiliations":[],"preferred":false,"id":484311,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70132437,"text":"70132437 - 2013 - Roles of patch characteristics, drought frequency, and restoration in long-term trends of a widespread amphibian","interactions":[],"lastModifiedDate":"2020-12-23T14:42:11.34899","indexId":"70132437","displayToPublicDate":"2013-12-01T09:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Roles of patch characteristics, drought frequency, and restoration in long-term trends of a widespread amphibian","docAbstract":"<p><span>Despite the high profile of amphibian declines and the increasing threat of drought and fragmentation to aquatic ecosystems, few studies have examined long-term rates of change for a single species across a large geographic area. We analyzed growth in annual egg-mass counts of the Columbia spotted frog (Rana luteiventris) across the northwestern United States, an area encompassing 3 genetic clades. On the basis of data collected by multiple partners from 98 water bodies between 1991 and 2011, we used state-space and linear-regression models to measure effects of patch characteristics, frequency of summer drought, and wetland restoration on population growth. Abundance increased in the 2 clades with greatest decline history, but declined where populations are considered most secure. Population growth was negatively associated with temporary hydroperiods and landscape modification (measured by the human footprint index), but was similar in modified and natural water bodies. The effect of drought was mediated by the size of the water body: populations in large water bodies maintained positive growth despite drought, whereas drought magnified declines in small water bodies. Rapid growth in restored wetlands in areas of historical population declines provided strong evidence of successful management. Our results highlight the importance of maintaining large areas of habitat and underscore the greater vulnerability of small areas of habitat to environmental stochasticity. Similar long-term growth rates in modified and natural water bodies and rapid, positive responses to restoration suggest pond construction and other forms of management can effectively increase population growth. These tools are likely to become increasingly important to mitigate effects of increased drought expected from global climate change.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.12119","usgsCitation":"Hossack, B.R., Adams, M.J., Pearl, C.A., Wilson, K.W., Bull, E.L., Lohr, K., Patla, D., Pilliod, D., Jones, J., Wheeler, K., McKay, S., and Corn, P.S., 2013, Roles of patch characteristics, drought frequency, and restoration in long-term trends of a widespread amphibian: Conservation Biology, v. 27, no. 6, p. 1410-1420, https://doi.org/10.1111/cobi.12119.","productDescription":"11 p.","startPage":"1410","endPage":"1420","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042996","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":381612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-08-23","publicationStatus":"PW","scienceBaseUri":"5465d639e4b04d4b7dbd6674","contributors":{"authors":[{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":522863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":522866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearl, Christopher A. 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":3131,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":522864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Kristine W.","contributorId":127013,"corporation":false,"usgs":false,"family":"Wilson","given":"Kristine","email":"","middleInitial":"W.","affiliations":[{"id":6763,"text":"Utah Division of Wildlife Resources, Salt Lake City, Utah","active":true,"usgs":false}],"preferred":false,"id":807240,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bull, Evelyn L.","contributorId":31104,"corporation":false,"usgs":true,"family":"Bull","given":"Evelyn","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":807241,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lohr, Kristin","contributorId":127012,"corporation":false,"usgs":false,"family":"Lohr","given":"Kristin","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":807242,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Patla, Debra","contributorId":127009,"corporation":false,"usgs":false,"family":"Patla","given":"Debra","affiliations":[{"id":6761,"text":"Northern Rockies Conservation Cooperative, Jackson, Wyoming","active":true,"usgs":false}],"preferred":false,"id":807243,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":161,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","email":"dpilliod@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":522865,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Jason","contributorId":127011,"corporation":false,"usgs":false,"family":"Jones","given":"Jason","email":"","affiliations":[{"id":6763,"text":"Utah Division of Wildlife Resources, Salt Lake City, Utah","active":true,"usgs":false}],"preferred":false,"id":807244,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wheeler, Kevin","contributorId":239996,"corporation":false,"usgs":false,"family":"Wheeler","given":"Kevin","email":"","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":807245,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McKay, Samuel","contributorId":245872,"corporation":false,"usgs":false,"family":"McKay","given":"Samuel","email":"","affiliations":[],"preferred":false,"id":807246,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Corn, P. Stephen 0000-0002-4106-6335 steve_corn@usgs.gov","orcid":"https://orcid.org/0000-0002-4106-6335","contributorId":3227,"corporation":false,"usgs":true,"family":"Corn","given":"P.","email":"steve_corn@usgs.gov","middleInitial":"Stephen","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522867,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70047753,"text":"70047753 - 2013 - Data-driven modeling of background and mine-related acidity and metals in river basins","interactions":[],"lastModifiedDate":"2017-05-23T13:32:47","indexId":"70047753","displayToPublicDate":"2013-12-01T09:40:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Data-driven modeling of background and mine-related acidity and metals in river basins","docAbstract":"<p><span>A novel application of self-organizing map (SOM) and multivariate statistical techniques is used to model the nonlinear interaction among basin mineral-resources, mining activity, and surface-water quality. First, the SOM is trained using sparse measurements from 228 sample sites in the Animas River Basin, Colorado. The model performance is validated by comparing stochastic predictions of basin-alteration assemblages and mining activity at 104 independent sites. The SOM correctly predicts (&gt;98%) the predominant type of basin hydrothermal alteration and presence (or absence) of mining activity. Second, application of the Davies–Bouldin criteria to k-means clustering of SOM neurons identified ten unique environmental groups. Median statistics of these groups define a nonlinear water-quality response along the spatiotemporal hydrothermal alteration-mining gradient. These results reveal that it is possible to differentiate among the continuum between inputs of background and mine-related acidity and metals, and it provides a basis for future research and empirical model development.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2013.09.036","usgsCitation":"Friedel, M.J., 2013, Data-driven modeling of background and mine-related acidity and metals in river basins: Environmental Pollution, v. 184, p. 530-539, https://doi.org/10.1016/j.envpol.2013.09.036.","productDescription":"10 p.","startPage":"530","endPage":"539","ipdsId":"IP-038503","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":341590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"184","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59254a6ee4b0b7ff9fb361b5","contributors":{"authors":[{"text":"Friedel, Michael J","contributorId":119245,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":518130,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70107102,"text":"70107102 - 2013 - Combined impacts of current and future dust deposition and regional warming on Colorado River Basin snow dynamics and hydrology","interactions":[],"lastModifiedDate":"2016-04-12T16:44:36","indexId":"70107102","displayToPublicDate":"2013-12-01T09:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Combined impacts of current and future dust deposition and regional warming on Colorado River Basin snow dynamics and hydrology","docAbstract":"<p>The Colorado River provides water to 40 million people in seven western states and two countries and to 5.5 million irrigated acres. The river has long been overallocated. Climate models project runoff losses of 5&ndash;20% from the basin by mid-21st century due to human-induced climate change. Recent work has shown that decreased snow albedo from anthropogenic dust loading to the CO mountains shortens the duration of snow cover by several weeks relative to conditions prior to western expansion of the US in the mid-1800s, and advances peak runoff at Lees Ferry, Arizona, by an average of 3 weeks. Increases in evapotranspiration from earlier exposure of soils and germination of plants have been estimated to decrease annual runoff by more than 1.0 billion cubic meters, or ~5% of the annual average. This prior work was based on observed dust loadings during 2005&ndash;2008; however, 2009 and 2010 saw unprecedented levels of dust loading on snowpacks in the Upper Colorado River Basin (UCRB), being on the order of 5 times the 2005&ndash;2008 loading. Building on our prior work, we developed a new snow albedo decay parameterization based on observations in 2009/10 to mimic the radiative forcing of extreme dust deposition. We convolve low, moderate, and extreme dust/snow albedos with both historic climate forcing and two future climate scenarios via a delta method perturbation of historic records. Compared to moderate dust, extreme dust absorbs 2&times; to 4&times; the solar radiation, and shifts peak snowmelt an additional 3 weeks earlier to a total of 6 weeks earlier than pre-disturbance. The extreme dust scenario reduces annual flow volume an additional 1% (6% compared to pre-disturbance), a smaller difference than from low to moderate dust scenarios due to melt season shifting into a season of lower evaporative demand. The sensitivity of flow timing to dust radiative forcing of snow albedo is maintained under future climate scenarios, but the sensitivity of flow volume reductions decreases with increased climate forcing. These results have implications for water management and suggest that dust abatement efforts could be an important component of any climate adaptation strategies in the UCRB.</p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-17-4401-2013","usgsCitation":"Deems, J.S., Painter, T.H., Barsugli, J.J., Belnap, J., and Udall, B., 2013, Combined impacts of current and future dust deposition and regional warming on Colorado River Basin snow dynamics and hydrology: Hydrology and Earth System Sciences, v. 17, p. 4401-4413, https://doi.org/10.5194/hess-17-4401-2013.","productDescription":"13 p.","startPage":"4401","endPage":"4413","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051183","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473424,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70058459,"text":"70058459 - 2013 - A review on cylindrospermopsin: the global occurrence, detection, toxicity and degradation of a potent cyanotoxin","interactions":[],"lastModifiedDate":"2013-12-06T09:06:10","indexId":"70058459","displayToPublicDate":"2013-12-01T08:59:21","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1566,"text":"Environmental Science: Processes and Impacts","active":true,"publicationSubtype":{"id":10}},"title":"A review on cylindrospermopsin: the global occurrence, detection, toxicity and degradation of a potent cyanotoxin","docAbstract":"Cylindrospermopsin is an important cyanobacterial toxin found in water bodies worldwide. The ever-increasing and global occurrence of massive and prolonged blooms of cylindrospermopsin-producing cyanobacteria poses a potential threat to both human and ecosystem health. Its toxicity is associated with metabolic activation and may involve mechanisms that adversely affect a wide variety of targets in an organism. Cylindrospermopsin has been shown to be cytotoxic, dermatotoxic, genotoxic, hepatotoxic in vivo, developmentally toxic, and may be carcinogenic. Human exposure may occur through drinking water, during recreational activities and by consuming foods in which the toxin may have bioaccumulated. Drinking water shortages of sufficient quality coupled with growing human pressures and climate variability and change necessitate an integrated and sustainable water management program. This review presents an overview of the importance of cylindrospermopsin, its detection, toxicity, worldwide distribution, and lastly, its chemical and biological degradation and removal by natural processes and drinking water treatment processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science: Processes and Impacts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"RSC","doi":"10.1039/C3EM00353A","usgsCitation":"de la Cruz, A.A., Hiskia, A., Kaloudis, T., Chernoff, N., Hill, D., Antoniou, M.G., He, X., Loftin, K., O’Shea, K., Zhao, C., Pelaez, M., Han, C., Lynch, T.J., and Dionysiou, D.D., 2013, A review on cylindrospermopsin: the global occurrence, detection, toxicity and degradation of a potent cyanotoxin: Environmental Science: Processes and Impacts, v. 15, no. 11, p. 1979-2003, https://doi.org/10.1039/C3EM00353A.","productDescription":"25 p.","startPage":"1979","endPage":"2003","ipdsId":"IP-051190","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":280204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280196,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1039/C3EM00353A"}],"country":"United States","volume":"15","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a63fc5e4b0a6d6958821c3","contributors":{"authors":[{"text":"de la Cruz, Armah A.","contributorId":8374,"corporation":false,"usgs":true,"family":"de la Cruz","given":"Armah","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hiskia, Anastasia","contributorId":69054,"corporation":false,"usgs":true,"family":"Hiskia","given":"Anastasia","email":"","affiliations":[],"preferred":false,"id":487074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaloudis, Triantafyllos","contributorId":104804,"corporation":false,"usgs":true,"family":"Kaloudis","given":"Triantafyllos","email":"","affiliations":[],"preferred":false,"id":487078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chernoff, Neil","contributorId":25859,"corporation":false,"usgs":true,"family":"Chernoff","given":"Neil","email":"","affiliations":[],"preferred":false,"id":487070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hill, Donna","contributorId":82213,"corporation":false,"usgs":true,"family":"Hill","given":"Donna","email":"","affiliations":[],"preferred":false,"id":487075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Antoniou, Maria G.","contributorId":59341,"corporation":false,"usgs":true,"family":"Antoniou","given":"Maria","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":487072,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"He, Xuexiang","contributorId":66593,"corporation":false,"usgs":true,"family":"He","given":"Xuexiang","email":"","affiliations":[],"preferred":false,"id":487073,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Loftin, Keith","contributorId":107604,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","affiliations":[],"preferred":false,"id":487079,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"O’Shea, Kevin","contributorId":37245,"corporation":false,"usgs":true,"family":"O’Shea","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":487071,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhao, Cen","contributorId":8375,"corporation":false,"usgs":true,"family":"Zhao","given":"Cen","email":"","affiliations":[],"preferred":false,"id":487067,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pelaez, Miguel","contributorId":98209,"corporation":false,"usgs":true,"family":"Pelaez","given":"Miguel","email":"","affiliations":[],"preferred":false,"id":487077,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Han, Changseok","contributorId":97418,"corporation":false,"usgs":true,"family":"Han","given":"Changseok","email":"","affiliations":[],"preferred":false,"id":487076,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lynch, Trevor J.","contributorId":13530,"corporation":false,"usgs":true,"family":"Lynch","given":"Trevor","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":487069,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dionysiou, Dionysios D.","contributorId":12772,"corporation":false,"usgs":true,"family":"Dionysiou","given":"Dionysios","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487068,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70137288,"text":"70137288 - 2013 - Limited denitrification in glacial deposit aquifers having thick unsaturated zones (Long Island, USA)","interactions":[],"lastModifiedDate":"2015-01-07T11:29:32","indexId":"70137288","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Limited denitrification in glacial deposit aquifers having thick unsaturated zones (Long Island, USA)","docAbstract":"<p><span>The goal of this study was to demonstrate how the extent of denitrification, which is indirectly related to dissolved organ carbon and directly related to oxygen concentrations, can also be linked to unsaturated-zone thickness, a mappable aquifer property. Groundwater from public supply and monitoring wells in Northport on Long Island, New York state (USA), were analyzed for denitrification reaction progress using dissolved N</span><span>2</span><span>/Ar concentrations by membrane inlet mass spectrometry. This technique allows for discernment of small amounts of excess N</span><span>2</span><span>, attributable to denitrification. Results show an average 15&nbsp;% of total nitrogen in the system was denitrified, significantly lower than model predictions of 35&nbsp;% denitrification. The minimal denitrification is due to low dissolved organic carbon (29.3&ndash;41.1&nbsp;&mu;mol&nbsp;L</span><span>&minus;1</span><span>) and high dissolved oxygen concentrations (58&ndash;100&nbsp;% oxygen saturation) in glacial sediments with minimal solid-phase electron donors to drive denitrification. A mechanism is proposed that combines two known processes for aquifer re-aeration in unconsolidated sands with thick (&gt;10&nbsp;m) unsaturated zones. First, advective flux provides 50&nbsp;% freshening of pore space oxygen in the upper 2&nbsp;m due to barometric pressure changes. Then, oxygen diffusion across the water-table boundary occurs due to high volumetric air content in the unsaturated-zone catchment area.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-013-1038-4","usgsCitation":"Young, C., Kroeger, K.D., and Hanson, G., 2013, Limited denitrification in glacial deposit aquifers having thick unsaturated zones (Long Island, USA): Hydrogeology Journal, v. 21, no. 8, p. 1773-1786, https://doi.org/10.1007/s10040-013-1038-4.","productDescription":"14 p.","startPage":"1773","endPage":"1786","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053893","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Long Island Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.8885498046875,\n              40.78054143186031\n            ],\n            [\n              -73.95996093749999,\n              40.979898069620155\n            ],\n            [\n              -71.619873046875,\n              41.52502957323801\n            ],\n            [\n              -71.4111328125,\n              41.16211393939692\n            ],\n            [\n              -73.8885498046875,\n              40.78054143186031\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"8","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-20","publicationStatus":"PW","scienceBaseUri":"54dd2be5e4b08de9379b3554","contributors":{"authors":[{"text":"Young, Caitlin","contributorId":30181,"corporation":false,"usgs":false,"family":"Young","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":537672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":537671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Gilbert","contributorId":65913,"corporation":false,"usgs":true,"family":"Hanson","given":"Gilbert","email":"","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537673,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70133831,"text":"70133831 - 2013 - The suitability of a simplified isotope-balance approach to quantify transient groundwater-lake interactions over a decade with climatic extremes","interactions":[],"lastModifiedDate":"2014-12-12T15:09:29","indexId":"70133831","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The suitability of a simplified isotope-balance approach to quantify transient groundwater-lake interactions over a decade with climatic extremes","docAbstract":"<p>Groundwater inflow to a subtropical seepage lake was estimated using a transient isotope-balance approach for a decade (2001&ndash;2011) with wet and dry climatic extremes. Lake water &delta;18O ranged from +0.80 to +3.48 &permil;, reflecting the 4 m range in stage. The transient &delta;18O analysis discerned large differences in semiannual groundwater inflow, and the overall patterns of low and high groundwater inflow were consistent with an independent water budget. Despite simplifying assumptions that the isotopic composition of precipitation (&delta;P), groundwater inflow, and atmospheric moisture (&delta;A) were constant, groundwater inflow was within the water-budget error for 12 of the 19 semiannual calculation periods. The magnitude of inflow was over or under predicted during periods of climatic extreme. During periods of high net precipitation from tropical cyclones and El Ni&ntilde;o conditions, &delta;P values were considerably more depleted in 18O than assumed. During an extreme dry period, &delta;A values were likely more enriched in 18O than assumed due to the influence of local lake evaporate. Isotope balance results were most sensitive to uncertainties in relative humidity, evaporation, and &delta;18O of lake water, which can limit precise quantification of groundwater inflow. Nonetheless, the consistency between isotope-balance and water-budget results indicates that this is a viable approach for lakes in similar settings, allowing the magnitude of groundwater inflow to be estimated over less-than-annual time periods. Because lake-water &delta;18O is a good indicator of climatic conditions, these data could be useful in ground-truthing paleoclimatic reconstructions using isotopic data from lake cores in similar settings.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.12.012","usgsCitation":"Sacks, L.A., Lee, T.M., and Swancar, A., 2013, The suitability of a simplified isotope-balance approach to quantify transient groundwater-lake interactions over a decade with climatic extremes: Journal of Hydrology, v. 519, no. Part D, p. 3042-3053, https://doi.org/10.1016/j.jhydrol.2013.12.012.","productDescription":"12 p.","startPage":"3042","endPage":"3053","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038316","costCenters":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"links":[{"id":473426,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2013.12.012","text":"Publisher Index Page"},{"id":296203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Starr","volume":"519","issue":"Part D","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546dbf2de4b0fc7976bf1e64","contributors":{"authors":[{"text":"Sacks, Laura A.","contributorId":19134,"corporation":false,"usgs":true,"family":"Sacks","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":525453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Terrie M. tmlee@usgs.gov","contributorId":2461,"corporation":false,"usgs":true,"family":"Lee","given":"Terrie","email":"tmlee@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":525452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swancar, Amy aswancar@usgs.gov","contributorId":450,"corporation":false,"usgs":true,"family":"Swancar","given":"Amy","email":"aswancar@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":525451,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70171525,"text":"70171525 - 2013 - Effect of land cover and use on dry season river runoff, runoff efficiency, and peak storm runoff in the seasonal tropics of Central Panama","interactions":[],"lastModifiedDate":"2016-06-02T09:54:21","indexId":"70171525","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Effect of land cover and use on dry season river runoff, runoff efficiency, and peak storm runoff in the seasonal tropics of Central Panama","docAbstract":"<p><span>A paired catchment methodology was used with more than 3 years of data to test whether forests increase base flow in the dry season, despite reduced annual runoff caused by evapotranspiration (the &ldquo;sponge-effect hypothesis&rdquo;), and whether forests reduce maximum runoff rates and totals during storms. The three study catchments were: a 142.3 ha old secondary forest, a 175.6 ha mosaic of mixed age forest, pasture, and subsistence agriculture, and a 35.9 ha actively grazed pasture subcatchment of the mosaic catchment. The two larger catchments are adjacent, with similar morphology, soils, underlying geology, and rainfall. Annual water balances, peak runoff rates, runoff efficiencies, and dry season recessions show significant differences. Dry season runoff from the forested catchment receded more slowly than from the mosaic and pasture catchments. The runoff rate from the forest catchment was 1&ndash;50% greater than that from the similarly sized mosaic catchment at the end of the dry season. This observation supports the sponge-effect hypothesis. The pasture and mosaic catchment median runoff efficiencies were 2.7 and 1.8 times that of the forest catchment, respectively, and increased with total storm rainfall. Peak runoff rates from the pasture and mosaic catchments were 1.7 and 1.4 times those of the forest catchment, respectively. The forest catchment produced 35% less total runoff and smaller peak runoff rates during the flood of record in the Panama Canal Watershed. Flood peak reduction and increased streamflows through dry periods are important benefits relevant to watershed management, payment for ecosystem services, water-quality management, reservoir sedimentation, and fresh water security in the Panama Canal watershed and similar tropical landscapes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/2013WR013956","usgsCitation":"Ogden, F.L., Crouch, T.D., Stallard, R.F., and Hall, J.S., 2013, Effect of land cover and use on dry season river runoff, runoff efficiency, and peak storm runoff in the seasonal tropics of Central Panama: Water Resources Research, v. 49, no. 12, p. 8443-8462, https://doi.org/10.1002/2013WR013956.","productDescription":"20 p.","startPage":"8443","endPage":"8462","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045298","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":473428,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013wr013956","text":"Publisher Index Page"},{"id":322082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Panama","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.15625,\n              8.635334050763124\n            ],\n            [\n              -80.15625,\n              9.546583349757574\n            ],\n            [\n              -79.310302734375,\n              9.546583349757574\n            ],\n            [\n              -79.310302734375,\n              8.635334050763124\n            ],\n            [\n              -80.15625,\n              8.635334050763124\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-17","publicationStatus":"PW","scienceBaseUri":"575158b0e4b053f0edd03c38","contributors":{"authors":[{"text":"Ogden, Fred L.","contributorId":169952,"corporation":false,"usgs":false,"family":"Ogden","given":"Fred","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":631596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crouch, Trey D.","contributorId":169953,"corporation":false,"usgs":false,"family":"Crouch","given":"Trey","email":"","middleInitial":"D.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":631597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hall, Jefferson S.","contributorId":169939,"corporation":false,"usgs":false,"family":"Hall","given":"Jefferson","email":"","middleInitial":"S.","affiliations":[{"id":25632,"text":"Smithsonian Tropical Research Institute, Balboa, Panama","active":true,"usgs":false}],"preferred":false,"id":631598,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176596,"text":"70176596 - 2013 - Net primary productivity of subalpine meadows in Yosemite National Park in relation to climate variability","interactions":[],"lastModifiedDate":"2017-05-03T13:09:25","indexId":"70176596","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Net primary productivity of subalpine meadows in Yosemite National Park in relation to climate variability","docAbstract":"<p><span>Subalpine meadows are some of the most ecologically important components of mountain landscapes, and primary productivity is important to the maintenance of meadow functions. Understanding how changes in primary productivity are associated with variability in moisture and temperature will become increasingly important with current and anticipated changes in climate. Our objective was to describe patterns and variability in aboveground live vascular plant biomass in relation to climatic factors. We harvested aboveground biomass at peak growth from four 64-m</span><sup>2</sup><span> plots each in xeric, mesic, and hydric meadows annually from 1994 to 2000. Data from nearby weather stations provided independent variables of spring snow water content, snow-free date, and thawing degree days for a cumulative index of available energy. We assembled these climatic variables into a set of mixed effects analysis of covariance models to evaluate their relationships with annual aboveground net primary productivity (ANPP), and we used an information theoretic approach to compare the quality of fit among candidate models. ANPP in the xeric meadow was negatively related to snow water content and thawing degree days and in the mesic meadow was negatively related to snow water content. Relationships between ANPP and these 2 covariates in the hydric meadow were not significant. Increasing snow water content may limit ANPP in these meadows if anaerobic conditions delay microbial activity and nutrient availability. Increased thawing degree days may limit ANPP in xeric meadows by prematurely depleting soil moisture. Large within-year variation of ANPP in the hydric meadow limited sensitivity to the climatic variables. These relationships suggest that, under projected warmer and drier conditions, ANPP will increase in mesic meadows but remain unchanged in xeric meadows because declines associated with increased temperatures would offset the increases from decreased snow water content.</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.073.0410","usgsCitation":"Moore, P.E., Van Wagtendonk, J.W., Yee, J.L., McClaran, M.P., Cole, D.N., McDougald, N.K., and Brooks, M.L., 2013, Net primary productivity of subalpine meadows in Yosemite National Park in relation to climate variability: Western North American Naturalist, v. 73, no. 4, p. 409-418, https://doi.org/10.3398/064.073.0410.","productDescription":"10 p.","startPage":"409","endPage":"418","ipdsId":"IP-042537","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488520,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol73/iss4/2","text":"External Repository"},{"id":328860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f1a9e4b0bc0bec09feea","contributors":{"authors":[{"text":"Moore, Peggy E. 0000-0002-8481-2617 peggy_moore@usgs.gov","orcid":"https://orcid.org/0000-0002-8481-2617","contributorId":3365,"corporation":false,"usgs":true,"family":"Moore","given":"Peggy","email":"peggy_moore@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Wagtendonk, Jan W. jan_van_wagtendonk@usgs.gov","contributorId":2648,"corporation":false,"usgs":true,"family":"Van Wagtendonk","given":"Jan","email":"jan_van_wagtendonk@usgs.gov","middleInitial":"W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McClaran, Mitchel P.","contributorId":15453,"corporation":false,"usgs":true,"family":"McClaran","given":"Mitchel","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":649325,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cole, David N.","contributorId":40086,"corporation":false,"usgs":true,"family":"Cole","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":649326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDougald, Neil K.","contributorId":139339,"corporation":false,"usgs":false,"family":"McDougald","given":"Neil","email":"","middleInitial":"K.","affiliations":[{"id":12739,"text":"UC Cooperative Extension, Madera, CA","active":true,"usgs":false}],"preferred":false,"id":649327,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649328,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70159347,"text":"70159347 - 2013 - In situ spectrophotometric measurement of dissolved inorganic carbon in seawater","interactions":[],"lastModifiedDate":"2015-10-22T15:17:46","indexId":"70159347","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"In situ spectrophotometric measurement of dissolved inorganic carbon in seawater","docAbstract":"<p><span>Autonomous in situ sensors are needed to document the effects of today&rsquo;s rapid ocean uptake of atmospheric carbon dioxide (e.g., ocean acidification). General environmental conditions (e.g., biofouling, turbidity) and carbon-specific conditions (e.g., wide diel variations) present significant challenges to acquiring long-term measurements of dissolved inorganic carbon (DIC) with satisfactory accuracy and resolution. SEAS-DIC is a new in situ instrument designed to provide calibrated, high-frequency, long-term measurements of DIC in marine and fresh waters. Sample water is first acidified to convert all DIC to carbon dioxide (CO</span><span>2</span><span>). The sample and a known reagent solution are then equilibrated across a gas-permeable membrane. Spectrophotometric measurement of reagent pH can thereby determine the sample DIC over a wide dynamic range, with inherent calibration provided by the pH indicator&rsquo;s molecular characteristics. Field trials indicate that SEAS-DIC performs well in biofouling and turbid waters, with a DIC accuracy and precision of &sim;2 &mu;mol kg</span><span>&ndash;1</span><span>&nbsp;and a measurement rate of approximately once per minute. The acidic reagent protects the sensor cell from biofouling, and the gas-permeable membrane excludes particulates from the optical path. This instrument, the first spectrophotometric system capable of automated in situ DIC measurements, positions DIC to become a key parameter for in situ CO</span><sub><span>2</span></sub><span>-system characterizations.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/es4014807","usgsCitation":"Liua, X., Byrne, R.H., Adornato, L., Yates, K.K., Kaltenbacher, E., Ding, X., and Yang, B., 2013, In situ spectrophotometric measurement of dissolved inorganic carbon in seawater: Environmental Science & Technology, v. 47, no. 19, p. 11106-11114, https://doi.org/10.1021/es4014807.","productDescription":"9 p.","startPage":"11106","endPage":"11114","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046307","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":310542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"19","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-17","publicationStatus":"PW","scienceBaseUri":"562a08d3e4b011227bf1fd78","contributors":{"authors":[{"text":"Liua, Xuewu","contributorId":149368,"corporation":false,"usgs":false,"family":"Liua","given":"Xuewu","email":"","affiliations":[{"id":17720,"text":"College of Marine Science USF","active":true,"usgs":false}],"preferred":false,"id":578115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrne, Robert H.","contributorId":149366,"corporation":false,"usgs":false,"family":"Byrne","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":17720,"text":"College of Marine Science USF","active":true,"usgs":false}],"preferred":false,"id":578113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adornato, Lori","contributorId":149365,"corporation":false,"usgs":false,"family":"Adornato","given":"Lori","email":"","affiliations":[{"id":17719,"text":"SRI","active":true,"usgs":false}],"preferred":false,"id":578112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":578110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaltenbacher, Eric","contributorId":149364,"corporation":false,"usgs":false,"family":"Kaltenbacher","given":"Eric","email":"","affiliations":[{"id":17719,"text":"SRI","active":true,"usgs":false}],"preferred":false,"id":578111,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ding, Xiaoling","contributorId":149367,"corporation":false,"usgs":false,"family":"Ding","given":"Xiaoling","email":"","affiliations":[{"id":17720,"text":"College of Marine Science USF","active":true,"usgs":false}],"preferred":false,"id":578114,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yang, Bo","contributorId":149369,"corporation":false,"usgs":false,"family":"Yang","given":"Bo","email":"","affiliations":[{"id":13653,"text":"University South Florida","active":true,"usgs":false}],"preferred":false,"id":578126,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70148143,"text":"70148143 - 2013 - Estimating reef fish discard mortality using surface and bottom tagging: effects of hook injury and barotrauma","interactions":[],"lastModifiedDate":"2015-05-27T13:54:35","indexId":"70148143","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Estimating reef fish discard mortality using surface and bottom tagging: effects of hook injury and barotrauma","docAbstract":"<p><span>We estimated survival rates of discarded black sea bass (</span><i>Centropristis striata</i><span>) in various release conditions using tag&ndash;recapture data. Fish were captured with traps and hook and line from waters 29&ndash;34 m deep off coastal North Carolina, USA, marked with internal anchor tags, and observed for release condition. Fish tagged on the bottom using SCUBA served as a control group. Relative return rates for trap-caught fish released at the surface versus bottom provided an estimated survival rate of 0.87 (95% credible interval 0.67&ndash;1.18) for surface-released fish. Adjusted for results from the underwater tagging experiment, fish with evidence of external barotrauma had a median survival rate of 0.91 (0.69&ndash;1.26) compared with 0.36 (0.17&ndash;0.67) for fish with hook trauma and 0.16 (0.08&ndash;0.30) for floating or presumably dead fish. Applying these condition-specific estimates of survival to non-tagging fishery data, we estimated a discard survival rate of 0.81 (0.62&ndash;1.11) for 11 hook and line data sets from waters 20&ndash;35 m deep and 0.86 (0.67&ndash;1.17) for 10 trap data sets from waters 11&ndash;29 m deep. The tag-return approach using a control group with no fishery-associated trauma represents a method to accurately estimate absolute discard survival of physoclistous reef species.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0337","usgsCitation":"Rudershausen, P.J., Buckel, J.A., and Hightower, J.E., 2013, Estimating reef fish discard mortality using surface and bottom tagging: effects of hook injury and barotrauma: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 4, p. 514-520, https://doi.org/10.1139/cjfas-2013-0337.","productDescription":"7 p.","startPage":"514","endPage":"520","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050975","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Onslow Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.969970703125,\n              33.84532650276791\n            ],\n            [\n              -77.991943359375,\n              33.77458136371689\n            ],\n            [\n              -77.90130615234375,\n              33.77229828866843\n            ],\n            [\n              -77.7447509765625,\n              33.747180448149855\n            ],\n            [\n              -77.63763427734375,\n              34.02534773814796\n            ],\n            [\n              -77.51953125,\n              34.19362958613087\n            ],\n            [\n              -77.36572265625,\n              34.29126107845569\n            ],\n            [\n              -77.14874267578124,\n              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Atlanta","active":true,"usgs":true}],"preferred":true,"id":547480,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148691,"text":"70148691 - 2013 - Differences in extreme low salinity timing and duration differentially affect eastern oyster (<i>Crassostrea virginica</i>) size class growth and mortality in Breton Sound, LA","interactions":[],"lastModifiedDate":"2015-07-31T11:05:11","indexId":"70148691","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Differences in extreme low salinity timing and duration differentially affect eastern oyster (<i>Crassostrea virginica</i>) size class growth and mortality in Breton Sound, LA","docAbstract":"<p><span>Understanding how different life history stages are impacted by extreme or stochastic environmental variation is critical for predicting and modeling organism population dynamics. This project examined recruitment, growth, and mortality of seed (25&ndash;75&nbsp;mm) and market (&gt;75&nbsp;mm) sized oysters along a salinity gradient over two years in Breton Sound, LA. In April 2010, management responses to the Deepwater Horizon oil spill resulted in extreme low salinity (&lt;5) at all sites through August 2010; in 2011, a 100-year Mississippi River flood event resulted in low salinity in late spring. Extended low salinity (&lt;5) during hot summer months (&gt;25&nbsp;&deg;C) significantly and negatively impacted oyster recruitment, survival and growth in 2010, while low salinity (&lt;5) for a shorter period that did not extend into July (&lt;25&nbsp;&deg;C) in 2011 had minimal impacts on oyster growth and mortality. In 2011, recruitment was limited, which may be due to a combination of low spring time salinities, high 2010 oyster mortality, minimal 2010 recruitment, cumulative effects from 10 years of declining oyster stock in the area, and poor cultch quality. In both 2010 and 2011,&nbsp;</span><i>Perkinsus marinus</i><span>infection prevalence remained low throughout the year at all sites and almost all infection intensities were light. Oyster plasma osmolality failed to match surrounding low salinity waters in 2010, while oysters appeared to osmoconform throughout 2011 indicating that the high mortality in 2010 may be due to extended valve closing and resulting starvation or asphyxiation in response to the combination of low salinity during high temperatures (&gt;25&nbsp;&deg;C). With increasing management of our freshwater inputs to estuaries combined with predicted climate changes, how extreme events affect different life history stages is key to understanding variation in population demographics of commercially important species and predicting future populations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2013.10.001","usgsCitation":"LaPeyre, M.K., Eberline, B.S., Soniat, T.M., and La Peyre, J.F., 2013, Differences in extreme low salinity timing and duration differentially affect eastern oyster (<i>Crassostrea virginica</i>) size class growth and mortality in Breton Sound, LA: Estuarine, Coastal and Shelf Science, v. 135, p. 146-157, https://doi.org/10.1016/j.ecss.2013.10.001.","productDescription":"10 p.","startPage":"146","endPage":"157","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044031","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Breton Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.65667724609375,\n              29.16415393327805\n            ],\n            [\n              -89.65667724609375,\n              29.776297851831366\n            ],\n            [\n              -88.868408203125,\n              29.776297851831366\n            ],\n            [\n              -88.868408203125,\n              29.16415393327805\n            ],\n            [\n              -89.65667724609375,\n              29.16415393327805\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"135","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55bc9c2ae4b033ef52100f1f","contributors":{"authors":[{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":549058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberline, Benjamin S.","contributorId":141241,"corporation":false,"usgs":false,"family":"Eberline","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":566917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soniat, Thomas M.","contributorId":11109,"corporation":false,"usgs":true,"family":"Soniat","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":566918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Jerome F.","contributorId":34697,"corporation":false,"usgs":true,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":566919,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193754,"text":"70193754 - 2013 - A small-diameter NMR logging tool for groundwater investigations","interactions":[],"lastModifiedDate":"2017-11-17T15:49:57","indexId":"70193754","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"A small-diameter NMR logging tool for groundwater investigations","docAbstract":"<p><span>A small-diameter nuclear magnetic resonance (NMR) logging tool has been developed and field tested at various sites in the United States and Australia. A novel design approach has produced relatively inexpensive, small-diameter probes that can be run in open or PVC-cased boreholes as small as 2 inches in diameter. The complete system, including surface electronics and various downhole probes, has been successfully tested in small-diameter monitoring wells in a range of hydrogeological settings. A variant of the probe that can be deployed by a direct-push machine has also been developed and tested in the field. The new NMR logging tool provides reliable, direct, and high-resolution information that is of importance for groundwater studies. Specifically, the technology provides direct measurement of total water content (total porosity in the saturated zone or moisture content in the unsaturated zone), and estimates of relative pore-size distribution (bound vs. mobile water content) and hydraulic conductivity. The NMR measurements show good agreement with ancillary data from lithologic logs, geophysical logs, and hydrogeologic measurements, and provide valuable information for groundwater investigations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12024","usgsCitation":"Walsh, D., Turner, P., Grunewald, E., Zhang, H., Butler, J.J., Reboulet, E., Knobbe, S., Christy, T., Lane, J.W., Johnson, C.D., Munday, T., and Fitzpatrick, A., 2013, A small-diameter NMR logging tool for groundwater investigations: Groundwater, v. 51, no. 6, p. 914-926, https://doi.org/10.1111/gwat.12024.","productDescription":"13 p.","startPage":"914","endPage":"926","ipdsId":"IP-042692","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":349081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-20","publicationStatus":"PW","scienceBaseUri":"5a61029ce4b06e28e9c25470","contributors":{"authors":[{"text":"Walsh, David","contributorId":27770,"corporation":false,"usgs":true,"family":"Walsh","given":"David","affiliations":[],"preferred":false,"id":722694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Peter","contributorId":199861,"corporation":false,"usgs":false,"family":"Turner","given":"Peter","affiliations":[],"preferred":false,"id":722695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grunewald, Elliot","contributorId":193963,"corporation":false,"usgs":false,"family":"Grunewald","given":"Elliot","email":"","affiliations":[],"preferred":false,"id":722696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Hong","contributorId":199859,"corporation":false,"usgs":false,"family":"Zhang","given":"Hong","email":"","affiliations":[],"preferred":false,"id":722697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butler, James J. Jr.","contributorId":199860,"corporation":false,"usgs":false,"family":"Butler","given":"James","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reboulet, Ed","contributorId":40047,"corporation":false,"usgs":true,"family":"Reboulet","given":"Ed","affiliations":[],"preferred":false,"id":722699,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knobbe, Steve","contributorId":44767,"corporation":false,"usgs":true,"family":"Knobbe","given":"Steve","affiliations":[],"preferred":false,"id":722700,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Christy, Tom","contributorId":200580,"corporation":false,"usgs":false,"family":"Christy","given":"Tom","email":"","affiliations":[],"preferred":false,"id":722701,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":722702,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":722703,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Munday, Tim","contributorId":200581,"corporation":false,"usgs":false,"family":"Munday","given":"Tim","email":"","affiliations":[],"preferred":false,"id":722704,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fitzpatrick, Andrew","contributorId":200582,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":722705,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70191975,"text":"70191975 - 2013 - Developing an outcome-based biodiversity metric in support of the field to market project: Final report","interactions":[],"lastModifiedDate":"2018-12-20T11:55:36","indexId":"70191975","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5602,"text":"Technical Bulletin","active":true,"publicationSubtype":{"id":9}},"seriesNumber":"334","title":"Developing an outcome-based biodiversity metric in support of the field to market project: Final report","docAbstract":"<p>Our objective was to create a metric that would calculate the relative impact of common commercial agricultural practices on terrestrial vertebrate richness. We sought to define impacts in fields (including field borders) of the southeastern region’s commercial production of corn, wheat, soy, and cotton. The metric is intended to serve as an educational tool, allowing producers to see how operational decisions made at the field level impact overall vertebrate species richness and to explore decision impacts to targeted species groups (e.g. game, pest, or beneficial species). </p><p>Agricultural landscapes are often mistakenly thought to be unsuitable habitat for most species. However, as demonstrated by results reported here, even large-scale, conventional agricultural producers are potentially important partners in biodiversity conservation. Many vertebrate species do inhabit agricultural landscapes, benefitting from the provision of water, food, or shelter within cultivated fields and their immediate borders (e.g., Holland et al. 2012). In the Southeastern US, of the 613 terrestrial vertebrate species modeled by the Southeast Gap Analysis Program (SEGAP) (http://www.basic.ncsu.edu/segap/index.html), 263 utilize row crop and associated agricultural land cover classes as potential habitat (Box 1). While some species may be sensitive to certain operational practices (e.g., tillage, pest management, or field border management practices), others are generally tolerant, and some may benefit either directly or indirectly. For example, field margins and ditches often serve as semi-natural habitats providing foraging resources and shelter for vertebrates and are shown to positively influence species richness and abundance (Billeter et al. 2007; Herzon &amp; Helenius 2008; Marshall &amp; Moonen 2002; Shore et al. 2005; Weibull et al. 2003; Wuczyńskia et al. 2011). Biodiversity responses are, therefore, complex, as an individual species’ responses to agricultural production practices depends on that animal’s resource specialization, mobility, and life history strategies (Jeanneret et al. 2003a, b; Jennings &amp; Pocock 2009). </p><p>The knowledge necessary to define the biodiversity contribution of agricultural lands is specialized, dispersed, and nuanced, and thus not readily accessible. Given access to clearly defined biodiversity tradeoffs between alternative agricultural practices, landowners, land managers and farm operators could collectively enhance the conservation and economic value of agricultural landscapes. Therefore, Field to Market: The Keystone Alliance for Sustainable Agriculture and The Nature Conservancy jointly funded a pilot project to develop a biodiversity metric to integrate into Field to Market’s existing sustainability calculator, The Fieldprint Calculator (http://www. fieldtomarket.org/). Field to Market: The Keystone Alliance for Sustainable Agriculture is an alliance among producers, agribusinesses, food companies, and conservation organizations seeking to create sustainable outcomes for agriculture. The Fieldprint Calculator supports the Keystone Alliance’s vision to achieve safe, accessible, and nutritious food, fiber and fuel in thriving ecosystems to meet the needs of 9 billion people in 2050. In support of this same vision, our project provides proof-of-concept for an outcome-based biodiversity metric for Field to Market to quantify biodiversity impacts of commercial row crop production on terrestrial vertebrate richness. </p><p>Little research exists examining the impacts of alternative commercial agricultural practices on overall terrestrial biodiversity (McLaughlin &amp; Mineau 1995). Instead, most studies compare organic versus conventional practices (e.g. Freemark &amp; Kirk 2001; Wickramasinghe et al. 2004), and most studies focus on flora, avian, or invertebrate communities (Jeanneret et al. 2003a; Maes et al. 2008; Pollard &amp; Relton 1970).&nbsp;Therefore, we used an expert-knowledge-based approach to develop a metric that predicts expected impacts to shelter and forage resources, individual species, and overall biodiversity (species richness). This approach is modeled after an ecosystems services concept (WRI 2005), except that we examine services (i.e., resources) provided to vertebrate wildlife rather than service provided to the human population. SEGAP predicts species that are potentially present in an area given landscape-scale habitat availability, configuration, and context (e.g., patch size, proximity to resources, connectivity, potential for disturbance). Based on the prediction of species that may be potentially present, the impacts of management decisions within fields and around their borders can be analyzed based on the impact of those practices to the availability of species’ resources. The final metric provides an index of a producer’s relative impact, but perhaps even more importantly, the underlying database allows producers to explore details such as which species are most impacted or how alternative decisions would impact their score.&nbsp;</p>","language":"English","publisher":"North Carolina Agricultral Research Service, College of Agriculture and Life Sciences, North Carolina State University","usgsCitation":"Drew, C.A., Alexander-Vaughn, L.B., Collazo, J., McKerrow, A., and Anderson, J., 2013, Developing an outcome-based biodiversity metric in support of the field to market project: Final report: Technical Bulletin 334, 28 p.","productDescription":"28 p.","ipdsId":"IP-046155","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":350596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350595,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.basic.ncsu.edu/eda/downloads/BiodiversityReport_Text.pdf"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac9e4b06e28e9c9a91e","contributors":{"authors":[{"text":"Drew, C. Ashton","contributorId":140953,"corporation":false,"usgs":false,"family":"Drew","given":"C.","email":"","middleInitial":"Ashton","affiliations":[],"preferred":false,"id":725790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander-Vaughn, Louise B.","contributorId":199257,"corporation":false,"usgs":false,"family":"Alexander-Vaughn","given":"Louise","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":725791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":713802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":127753,"corporation":false,"usgs":true,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":725792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, John","contributorId":8763,"corporation":false,"usgs":true,"family":"Anderson","given":"John","affiliations":[],"preferred":false,"id":725793,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70057785,"text":"ofr20131278 - 2013 - Hydrologic monitoring and selected hydrologic and environmental studies by the U.S. Geological Survey in Georgia, 2011–2013","interactions":[],"lastModifiedDate":"2016-12-08T16:45:04","indexId":"ofr20131278","displayToPublicDate":"2013-11-27T11:11:04","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1278","title":"Hydrologic monitoring and selected hydrologic and environmental studies by the U.S. Geological Survey in Georgia, 2011–2013","docAbstract":"This compendium of papers describes results of hydrologic monitoring and hydrologic and environmental studies completed by the U.S. Geological Survey (USGS) in Georgia during 2011–2013. The USGS addresses a wide variety of water issues in the State of Georgia working with local, State, and Federal partners. As the primary Federal science agency for water resource information, the USGS monitors the quantity and quality of water in the Nation’s rivers and aquifers, assesses the sources and fate of contaminants in aquatic systems, collects and analyzes data on aquatic ecosystems, develops tools to improve the application of hydrologic information, and ensures that its information and tools are available to all potential users. During 2011–2013, the USGS continued a long-term program of monitoring stream and groundwater resources, including flow, water quality, and water use. In addition, a variety of hydrologic and environmental studies were completed to assess water availability, hydrologic hazards, and the impact of development on water resources. Information on USGS activities in Georgia is available online at <a href=\" http://ga.water.usgs.gov/\" target=\"_blank\"> http://ga.water.usgs.gov/</a>.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131278","usgsCitation":"Clarke, J.S., and Dalton, M., 2013, Hydrologic monitoring and selected hydrologic and environmental studies by the U.S. Geological Survey in Georgia, 2011–2013: U.S. Geological Survey Open-File Report 2013-1278, v, 73 p., https://doi.org/10.3133/ofr20131278.","productDescription":"v, 73 p.","numberOfPages":"84","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":279865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131278.jpg"},{"id":279864,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1278/pdf/of2013-1278.pdf"},{"id":279863,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1278/"}],"scale":"150000","country":"United States","state":"Georgia","otherGeospatial":"Savannah River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.25,32 ], [ -81.25,32.3 ], [ -80.833,32.3 ], [ -80.833,32 ], [ -81.25,32 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529716d5e4b08e44bf66fb80","contributors":{"authors":[{"text":"Clarke, John S. jsclarke@usgs.gov","contributorId":400,"corporation":false,"usgs":true,"family":"Clarke","given":"John","email":"jsclarke@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalton, Melinda J. (compiler)","contributorId":38460,"corporation":false,"usgs":true,"family":"Dalton","given":"Melinda J.","suffix":"(compiler)","affiliations":[],"preferred":false,"id":486872,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048377,"text":"sim3269 - 2013 - Flood-inundation maps for the Elkhart River at Goshen, Indiana","interactions":[],"lastModifiedDate":"2013-11-27T11:05:42","indexId":"sim3269","displayToPublicDate":"2013-11-27T10:43:47","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3269","title":"Flood-inundation maps for the Elkhart River at Goshen, Indiana","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Indiana Office of Community and Rural Affairs, created digital flood-inundation maps for an 8.3-mile reach of the Elkhart River at Goshen, Indiana, extending from downstream of the Goshen Dam to downstream from County Road 17. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at <a href=\"http://water.usgs.gov/osw/flood_inundation/\" target=\"_blank\">http://water.usgs.gov/osw/flood_inundation/</a>, depict estimates of the areal extent and depth of flooding corresponding to nine selected water levels (stages) at the USGS streamgage at Elkhart River at Goshen (station number 04100500). Current conditions for the USGS streamgages in Indiana may be obtained on the Internet at <a href=\"http://waterdata.usgs.gov/\" target=\"_blank\">http://waterdata.usgs.gov/</a>. In addition, stream stage data have been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system <a href=\"http://water.weather.gov/ahps/\" target=\"_blank\">(http://water.weather.gov/ahps/)</a>. The NWS forecasts flood hydrographs at many places that are often colocated with USGS streamgages. NWS-forecasted peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relation at the Elkhart River at Goshen streamgage. The hydraulic model was then used to compute nine water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from approximately bankfull (5 ft) to greater than the highest recorded water level (13 ft). The simulated water-surface profiles were then combined with a geographic information system (GIS) digital-elevation model (DEM), derived from Light Detection and Ranging (LiDAR) data having a 0.37-ft vertical accuracy and 3.9-ft horizontal resolution in order to delineate the area flooded at each water level. The availability of these maps, along with Internet information regarding current stage from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for postflood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3269","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Strauch, K.R., 2013, Flood-inundation maps for the Elkhart River at Goshen, Indiana: U.S. Geological Survey Scientific Investigations Map 3269, Pamphlet: vi, 7 p.; Map sheets JPEG and PDF; Downloads Directory, https://doi.org/10.3133/sim3269.","productDescription":"Pamphlet: vi, 7 p.; Map sheets JPEG and PDF; Downloads Directory","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042153","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":279862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3269.jpg"},{"id":279860,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3269/downloads/mapsheets/pdf/"},{"id":279861,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3269/downloads/"},{"id":279859,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3269/pdf/sim3269-pamphlet.pdf"},{"id":279314,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3269/"}],"projection":"Indiana State Plane Eastern Zone","datum":"North American Datum of 1983","country":"United States","state":"Indiana","otherGeospatial":"Elkhart River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.9,41.5583 ], [ -85.9,41.625 ], [ -85.83,41.625 ], [ -85.83,41.5583 ], [ -85.9,41.5583 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529716b9e4b08e44bf66fb7d","contributors":{"authors":[{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484482,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048921,"text":"ds797 - 2013 - Occurrence of fungicides and other pesticides in surface water, groundwater, and sediment from three targeted-use areas in the United States, 2009","interactions":[],"lastModifiedDate":"2026-05-28T20:59:17.474267","indexId":"ds797","displayToPublicDate":"2013-11-26T14:30:00","publicationYear":"2013","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":"797","title":"Occurrence of fungicides and other pesticides in surface water, groundwater, and sediment from three targeted-use areas in the United States, 2009","docAbstract":"<p>Surface-water, groundwater, and suspended- and bedsediment samples were collected in three targeted-use areas in the United States where potatoes were grown during 2009 and analyzed for an extensive suite of fungicides and other pesticides by gas chromatograph/mass spectrometry and liquid chromatography with tandem mass spectrometry. Fungicides were detected in all environmental matrices sampled during the study. The most frequently detected fungicides were azoxystrobin, boscalid, chlorothalonil, and pyraclostrobin. Other pesticides that were detected frequently included amino phosphonic acid (AMPA), atrazine, metolaclor, and the organochlorine insecticide p,p&rsquo;-DDT and its degradates p,p&rsquo;-DDD and p,p&rsquo;-DDE. A greater number of pesticides were detected in surface water relative to the other environmental matrices sampled, and at least one pesticide was detected in 62 of the 63 surfacewater samples. The greatest numbers of pesticides and the maximum observed concentrations for most pesticides were measured in surface-water samples from Idaho. In eight surface- water samples (six from Idaho and two from Wisconsin), concentrations of bifenthrin, metolachlor, or malathion exceeded U.S. Environmental Protection Agency freshwater aquatic-life benchmarks for chronic toxicity to invertebrates. Thirteen pesticides, including seven fungicides, were detected in groundwater samples. Shallow groundwater samples collected beneath recently harvested potato fields contained more pesticides and had higher concentrations of pesticides than samples collected from other groundwater sources sampled during the study. Generally, pesticide concentrations were lower in groundwater samples than in surfacewater or sediment samples, with the exception of the fungicide boscalid, which was found to have its highest concentration in a shallow groundwater sample collected in Wisconsin. Thirteen pesticides, including four fungicides, were detected in suspended-sediment samples. The most frequently detected compounds were the fungicides boscalid, pyraclostrobin, and zoxamide, and the degradates p,p&rsquo;-DDD and p,p&rsquo;-DDE. Twenty pesticides, including six fungicides, were detected in bed-sediment samples. The most frequently detected compounds were pyraclostrobin, p,p&rsquo;-DDT, p,p&rsquo;-DDD, and p,p&rsquo;-DDE.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds797","issn":"2327-698X","usgsCitation":"Orlando, J., Smalling, K., Reilly, T.J., Boehlke, A., Meyer, M.T., and Kuivila, K., 2013, Occurrence of fungicides and other pesticides in surface water, groundwater, and sediment from three targeted-use areas in the United States, 2009: U.S. Geological Survey Data Series 797, viii, 73 p., https://doi.org/10.3133/ds797.","productDescription":"viii, 73 p.","numberOfPages":"85","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-023568","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":504823,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99344.htm","text":"central Wisconsin","linkFileType":{"id":5,"text":"html"}},{"id":504822,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99343.htm","text":"near Presque Isle, Maine","linkFileType":{"id":5,"text":"html"}},{"id":504821,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99342.htm","text":"Snake and Boise Rivers, Idaho","linkFileType":{"id":5,"text":"html"}},{"id":279850,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/797/pdf/ds797.pdf"},{"id":279851,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/ds797.jpg"},{"id":279839,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/797/"}],"country":"United States","state":"Idaho, Maine, Wisconsin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c300e4b0becc369c7cff","contributors":{"authors":[{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":485820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":485819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":485818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":485815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485816,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70049034,"text":"ofr20131256 - 2013 - Changes in nitrogen loading to the Northeast Creek Estuary, Bar Harbor, Maine, 2000 to 2010","interactions":[],"lastModifiedDate":"2013-11-26T14:18:10","indexId":"ofr20131256","displayToPublicDate":"2013-11-26T14:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1256","title":"Changes in nitrogen loading to the Northeast Creek Estuary, Bar Harbor, Maine, 2000 to 2010","docAbstract":"Since 1999, the U.S. Geological Survey and the National Park Service have been monitoring land use and nitrogen loading in a 26.3-square-kilometer (10-square-mile) estuarine watershed at Acadia National Park, Mount Desert Island, Maine. The initial study linking land use and nitrogen loads entering the Northeast Creek estuary was completed in 2000, and findings were used to develop simulations of nitrogen loading to the estuary, thereby helping to inform local land-use planning decisions. At that time, the amount of nitrogen entering the Northeast Creek estuary was relatively small, and no evidence of nutrient-related degradation was observed in the <i>Ruppia</i>-dominated estuarine ecosystem. A new round of water-quality monitoring and streamflow measurements was conducted to determine nitrogen loading from 2008 to 2011 as a means to evaluate the effects of increased rural residential housing within the watershed since 2000. On the basis of a 2.6-percent increase in residential-housing land use in the watershed from 2000 to 2010, simulations of nitrogen export predicted a 7-percent increase in nitrogen loading to Northeast Creek. The measurement-based loads estimated for the Northeast Creek tributaries, however, increased much more than predicted, from 1.89 kilograms per hectare per year (kg/ha/yr) in 2000 to 3.12 kg/ha/yr in the time period centered on 2010—a 66-percent increase. This increase is likely primarily a result of the prevalence of much wetter conditions during the 2008–11 sampling period than during the earlier sampling period. In addition to increasing the physical transport of nitrogen in the watershed, wet climatic conditions have been shown in other studies to increase the rates of biotic and abiotic processes that control nitrogen export from northern-latitude forested watersheds. The new loading estimates, however, also support the possibility that some portion of the increase in nitrogen loading results from the observed land-use changes, and that the increase in residential housing has, in fact, contributed to the observed increase in nitrogen loading.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131256","collaboration":"Prepared in cooperation with the National Park Service and the Town of Bar Harbor, Maine","usgsCitation":"Nielsen, M.G., 2013, Changes in nitrogen loading to the Northeast Creek Estuary, Bar Harbor, Maine, 2000 to 2010: U.S. Geological Survey Open-File Report 2013-1256, Report: vi, 33 p.; Table, https://doi.org/10.3133/ofr20131256.","productDescription":"Report: vi, 33 p.; Table","numberOfPages":"43","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2000-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-049637","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":279847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131256.jpg"},{"id":279843,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1256/"},{"id":279844,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1256/pdf/ofr2013-1256.pdf"},{"id":279845,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2013/1256/pdf/ofr2013-1256_table2.pdf"}],"scale":"24000","projection":"Universal Transverse Mercator projection","country":"United States","state":"Maine","city":"Bar Harbor","otherGeospatial":"Acadia National Park;Mount Desert Island;Northeast Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -68.339767,44.372828 ], [ -68.339767,44.44383 ], [ -68.232393,44.44383 ], [ -68.232393,44.372828 ], [ -68.339767,44.372828 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c2e2e4b0becc369c7c1b","contributors":{"authors":[{"text":"Nielsen, Martha G. 0000-0003-3038-9400 mnielsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3038-9400","contributorId":4169,"corporation":false,"usgs":true,"family":"Nielsen","given":"Martha","email":"mnielsen@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486060,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70057584,"text":"70057584 - 2013 - First evidence of grass carp recruitment in the Great Lakes Basin","interactions":[],"lastModifiedDate":"2013-11-26T11:31:34","indexId":"70057584","displayToPublicDate":"2013-11-26T11:26:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"First evidence of grass carp recruitment in the Great Lakes Basin","docAbstract":"We use aging techniques, ploidy analysis, and otolith microchemistry to assess whether four grass carp Ctenopharyngodon idella captured from the Sandusky River, Ohio were the result of natural reproduction within the Lake Erie Basin. All four fish were of age 1 +. Multiple lines of evidence indicate that these fish were not aquaculture-reared and that they were most likely the result of successful reproduction in the Sandusky River. First, at least two of the fish were diploid; diploid grass carp cannot legally be released in the Great Lakes Basin. Second, strontium:calcium (Sr:Ca) ratios were elevated in all four grass carp from the Sandusky River, with elevated Sr:Ca ratios throughout the otolith transect, compared to grass carp from Missouri and Arkansas ponds. This reflects the high Sr:Ca ratio of the Sandusky River, and indicates that these fish lived in a high-strontium environment throughout their entire lives. Third, Sandusky River fish were higher in Sr:Ca ratio variability than fish from ponds, reflecting the high but spatially and temporally variable strontium concentrations of southwestern Lake Erie tributaries, and not the stable environment of pond aquaculture. Fourth, Sr:Ca ratios in the grass carp from the Sandusky River were lower in their 2011 growth increment (a high water year) than the 2012 growth increment (a low water year), reflecting the observed inverse relationship between discharge and strontium concentration in these rivers. We conclude that these four grass carp captured from the Sandusky River are most likely the result of natural reproduction within the Lake Erie Basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.09.019","usgsCitation":"Chapman, D., Davis, J.J., Jenkins, J.A., Kocovsky, P., Miner, J.G., Farver, J., and Jackson, P., 2013, First evidence of grass carp recruitment in the Great Lakes Basin: Journal of Great Lakes Research, v. 39, no. 4, p. 547-554, https://doi.org/10.1016/j.jglr.2013.09.019.","productDescription":"8 p.","startPage":"547","endPage":"554","numberOfPages":"8","ipdsId":"IP-046079","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":279798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279797,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.09.019"}],"country":"United States","state":"Ohio","otherGeospatial":"Sandusky River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.271531,40.954626 ], [ -83.271531,41.467623 ], [ -82.980588,41.467623 ], [ -82.980588,40.954626 ], [ -83.271531,40.954626 ] ] ] } } ] }","volume":"39","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c2fde4b0becc369c7cd8","contributors":{"authors":[{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":486811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, J. Jeremiah hdavis@usgs.gov","contributorId":60944,"corporation":false,"usgs":true,"family":"Davis","given":"J.","email":"hdavis@usgs.gov","middleInitial":"Jeremiah","affiliations":[],"preferred":false,"id":486815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","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":486812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kocovsky, Patrick M.","contributorId":89381,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick M.","affiliations":[],"preferred":false,"id":486817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miner, Jeffrey G.","contributorId":20645,"corporation":false,"usgs":true,"family":"Miner","given":"Jeffrey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":486814,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farver, John","contributorId":18670,"corporation":false,"usgs":true,"family":"Farver","given":"John","affiliations":[],"preferred":false,"id":486813,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":486816,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70055704,"text":"sir20135172 - 2013 - Geophysical-log and hydraulic-test analyses of groundwater-production wells at the Hannahville Indian Community, Menominee County, Michigan","interactions":[],"lastModifiedDate":"2013-11-26T10:52:51","indexId":"sir20135172","displayToPublicDate":"2013-11-26T10:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5172","title":"Geophysical-log and hydraulic-test analyses of groundwater-production wells at the Hannahville Indian Community, Menominee County, Michigan","docAbstract":"The U.S. Geological Survey, in cooperation with the Hannahville Indian Community, evaluated the geohydrology of the bedrock formations and hydraulic properties of groundwater-production wells at the Hannahville Indian Community in Menominee County, Michigan. Geophysical logs were collected from five wells at two sites during September 2012. The logs were analyzed to characterize the lithostratigraphy, bedding and fractures, and hydraulic properties of the geologic formations and aquifers beneath the Hannahville Indian Community. The geophysical logs collected included natural gamma radiation, electromagnetic conductivity, wellbore image, caliper, ambient and stressed flowmeter, fluid resistivity, temperature, and wellbore deviation. The geophysical logs were analyzed with results from short-term hydraulic tests to estimate the transmissivity and water-level altitudes of flow zones penetrated by the wells.\n\nThe geophysical log analysis indicated the wells penetrated four distinct lithostratigraphic units—shale and carbonate rock, upper carbonate rock, carbonate rock and glauconitic sandstone, and lower carbonate rock. Most of the fractures penetrated by the wellbores appeared to be related bedding partings. The lower carbonate rock unit contained solution features.\n\nAnalysis of the geophysical logs and hydraulic tests indicated that each of the five wells penetrated from one to four flow zones. The Casino 5 well penetrated a flow zone that was associated with solution features and had an estimated total transmissivity of 4,280 feet squared per day (ft<sup>2</sup>/d), the highest estimate for all the wells. The Casino 3 well penetrated four flow zones and had an estimated total transmissivity of 3,570 ft<sup>2</sup>/d. The flow zones penetrated in the lower carbonate rock unit by the Casino 3 and 5 wells were hydraulically connected. The Golf Shack well penetrated two flow zones and had an estimated total transmissivity of 40 ft<sup>2</sup>/d, the lowest estimate for all the wells. The Community 1 and Community 2 wells penetrated three and four flow zones, respectively, and had estimated total transmissivity values of 185 and 280 ft<sup>2</sup>/d, respectively.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135172","issn":"2328-0328","collaboration":"Prepared in cooperation with the Hannahville Indian Community","usgsCitation":"Bayless, E.R., Anderson, J., Lampe, D.C., and Williams, J., 2013, Geophysical-log and hydraulic-test analyses of groundwater-production wells at the Hannahville Indian Community, Menominee County, Michigan: U.S. Geological Survey Scientific Investigations Report 2013-5172, v, 29 p., https://doi.org/10.3133/sir20135172.","productDescription":"v, 29 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-042431","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":279789,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5172/pdf/sir2013-5172.pdf"},{"id":279790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135172.jpg"},{"id":279788,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5172"}],"country":"United States","state":"Michigan","county":"Menominee County","otherGeospatial":"Hannahville Indian Community","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.5,45.583333 ], [ -87.5,45.833333 ], [ -87.0,45.833333 ], [ -87.0,45.583333 ], [ -87.5,45.583333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c2fee4b0becc369c7ce1","contributors":{"authors":[{"text":"Bayless, E. Randall 0000-0002-0357-3635","orcid":"https://orcid.org/0000-0002-0357-3635","contributorId":42586,"corporation":false,"usgs":true,"family":"Bayless","given":"E.","email":"","middleInitial":"Randall","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, J. Alton","contributorId":56724,"corporation":false,"usgs":true,"family":"Anderson","given":"J. Alton","affiliations":[],"preferred":false,"id":486230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lampe, David C. 0000-0002-8904-0337 dclampe@usgs.gov","orcid":"https://orcid.org/0000-0002-8904-0337","contributorId":2441,"corporation":false,"usgs":true,"family":"Lampe","given":"David","email":"dclampe@usgs.gov","middleInitial":"C.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486227,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70049061,"text":"fs20133104 - 2013 - Nearshore temperature findings for the Colorado River in Grand Canyon, Arizona: Possible implications for native fish","interactions":[],"lastModifiedDate":"2026-06-11T20:50:02.119426","indexId":"fs20133104","displayToPublicDate":"2013-11-26T09:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3104","title":"Nearshore temperature findings for the Colorado River in Grand Canyon, Arizona: Possible implications for native fish","docAbstract":"Since the completion of Glen Canyon Dam, Arizona, in 1963, downstream water temperatures in the main channel of the Colorado River in Glen, Marble, and Grand Canyons are much colder in summer. This has negatively affected humpback chub (<i>Gila cypha</i>) and other native fish adapted to seasonally warm water, reducing main-channel spawning activity and impeding the growth and development of larval and juvenile fish. Recently published studies by U.S. Geological Survey scientists found that under certain conditions some isolated nearshore environments in Grand Canyon allow water to become separated from the main-channel current and to warm, providing refuge areas for the development of larval and juvenile fish.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133104","usgsCitation":"Ross, R.P., and Vernieu, W., 2013, Nearshore temperature findings for the Colorado River in Grand Canyon, Arizona: possible implications for native fish: U.S. Geological Survey Fact Sheet 2013-3104, 4 p., https://doi.org/10.3133/fs20133104.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-050887","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":505519,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99341.htm","linkFileType":{"id":5,"text":"html"}},{"id":279761,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3104/pdf/fs2013-3104.pdf"},{"id":279760,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3104/"},{"id":279764,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133104.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Glen Canyon Dam, Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.0491,35.65 ], [ -114.0491,37.0026 ], [ -111.3451,37.0026 ], [ -111.3451,35.65 ], [ -114.0491,35.65 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c300e4b0becc369c7cf6","contributors":{"authors":[{"text":"Ross, Robert P. rross@usgs.gov","contributorId":4734,"corporation":false,"usgs":true,"family":"Ross","given":"Robert","email":"rross@usgs.gov","middleInitial":"P.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":486088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vernieu, William S.","contributorId":49068,"corporation":false,"usgs":true,"family":"Vernieu","given":"William S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":486089,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70055732,"text":"sir20135199 - 2013 - Estimation of total nitrogen and total phosphorus in streams of the Middle Columbia River Basin (Oregon, Washington, and Idaho) using SPARROW models, with emphasis on the Yakima River Basin, Washington","interactions":[],"lastModifiedDate":"2013-11-26T09:38:12","indexId":"sir20135199","displayToPublicDate":"2013-11-26T09:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5199","title":"Estimation of total nitrogen and total phosphorus in streams of the Middle Columbia River Basin (Oregon, Washington, and Idaho) using SPARROW models, with emphasis on the Yakima River Basin, Washington","docAbstract":"<p>The watershed model SPARROW (Spatially Related Regressions on Watershed attributes) was used to predict total nitrogen (TN) and total phosphorus (TP) loads and yields for the Middle Columbia River Basin in Idaho, Oregon, and Washington. The new models build on recently published models for the entire Pacific Northwest, and provide revised load predictions for the arid interior of the region by restricting the modeling domain and recalibrating the models. Results from the new TN and TP models are provided for the entire region, and discussed with special emphasis on the Yakima River Basin, Washington.</p>\n<br/>\n<p>In most catchments of the Yakima River Basin, the TN and TP in streams is from natural sources, specifically nitrogen fixation in forests (TN) and weathering and erosion of geologic materials (TP). The natural nutrient sources are overshadowed by anthropogenic sources of TN and TP in highly agricultural and urbanized catchments; downstream of the city of Yakima, most of the load in the Yakima River is derived from anthropogenic sources. Yields of TN and TP from catchments with nearly uniform land use were compared with other yield values and export coefficients published in the scientific literature, and generally were in agreement. The median yield of TN was greatest in catchments dominated by agricultural land and smallest in catchments dominated by grass and scrub land. The median yield of TP was greatest in catchments dominated by forest land, but the largest yields (90th percentile) of TP were from agricultural catchments. As with TN, the smallest TP yields were from catchments dominated by grass and scrub land.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135199","collaboration":"Prepared in cooperation with Washington State Department of Ecology and U.S. Environmental Protection Agency","usgsCitation":"Johnson, H.M., Black, R.W., and Wise, D.R., 2013, Estimation of total nitrogen and total phosphorus in streams of the Middle Columbia River Basin (Oregon, Washington, and Idaho) using SPARROW models, with emphasis on the Yakima River Basin, Washington: U.S. Geological Survey Scientific Investigations Report 2013-5199, Report: vi, 27 p.; Appendix, https://doi.org/10.3133/sir20135199.","productDescription":"Report: vi, 27 p.; Appendix","numberOfPages":"38","additionalOnlineFiles":"Y","ipdsId":"IP-049165","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":279728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135199.GIF"},{"id":279724,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5199/downloads/sir20135199_appendixA.txt"},{"id":279646,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5199/"},{"id":279723,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5199/pdf/sir20135199.pdf"}],"projection":"Universal Transverse Mercator","datum":"North American Datum of 1927","country":"United States","state":"Idaho;Oregon;Washington","otherGeospatial":"Middle Columbia River Basin;Yakima River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0,41.0 ], [ -123.0,49.25 ], [ -112.0,49.25 ], [ -112.0,41.0 ], [ -123.0,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c2fce4b0becc369c7cc9","contributors":{"authors":[{"text":"Johnson, Henry M. 0000-0002-7571-4994","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":105291,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wise, Daniel R. 0000-0002-1215-9612 dawise@usgs.gov","orcid":"https://orcid.org/0000-0002-1215-9612","contributorId":29891,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel","email":"dawise@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486245,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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